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1. A structured approach for building multi-community State and Transition Models to support conservation planning

Author

Good, MK, Rumpff, L, Fraser, H, Gould, E, Jones, CS, Prober, SM, Bourne, M, Butt, N, Byrne, M, Duncan, DH, Gorrod, E, Gosper, CR, Jordan, R, Mcintyre, S, Moore, JL, Nerenberg, S, Pulsford, S, Richards, AE, Rogers, DJ, Sinclair, S, Standish, RJ, Tulloch, A, Travers, SK, Vranjic, J, White, M, Wilson, J, Begley, J, Wright, J, Yates, C, Vesk, PA, Good, MK, Rumpff, L, Fraser, H, Gould, E, Jones, CS, Prober, SM, Bourne, M, Butt, N, Byrne, M, Duncan, DH, Gorrod, E, Gosper, CR, Jordan, R, Mcintyre, S, Moore, JL, Nerenberg, S, Pulsford, S, Richards, AE, Rogers, DJ, Sinclair, S, Standish, RJ, Tulloch, A, Travers, SK, Vranjic, J, White, M, Wilson, J, Begley, J, Wright, J, Yates, C, and Vesk, PA

Abstract

Global declines in ecosystem extent and condition mean there is an increasing demand for recovery and conservation plans. Conservation plans for ecological communities require a management framework with measurable, time‐bound objectives. Efficient and structured processes that facilitate timely and comparable conservation plans are essential, especially where resources are constrained. We describe a process to streamline the development of conservation plans by combining functionally similar community sub‐types into a multi‐community State and Transition Model that can be used to guide conservation planning. We demonstrate this approach in a case study using eucalypt dominated woodlands of southern Australia—an ecosystem which occupies a vast geographical range across temperate Australia and includes many distinct vegetation communities, a growing number of which are endangered or threatened. Australian woodland ecologists (grouped according to their knowledge of three broad woodland sub‐types) were asked to develop causal chains to describe all factors associated with transitions among woodland condition states, and estimate the likelihoods associated with each transition at two time‐scales. The resultant State and Transition Model includes a set of eight general condition states that are common to eucalypt dominated woodlands, and 364 unique causal chains describing the drivers of all plausible transitions. We include an example of how the same information can be presented as a series of decision trees aimed at supporting on‐ground management decisions. The case study demonstrates that it is possible to construct a detailed State and Transition Model that synthesizes knowledge across multiple similar vegetation communities. To date, State and Transition Models focused on single communities or a smaller spatial scale, and this is the first attempt to construct a nationally relevant multi‐community State and Transition Model via a structured and participat

Published
2024

2. Carbon uptake and water use in woodlands and forests in southern Australia during an extreme heat wave event in the "angry Summer" of 2012/2013

Author

Van Gorsel, E, Wolf, S, Cleverly, J, Isaac, P, Haverd, V, Ewenz, C, Arndt, S, Beringer, J, De Dios, VR, Evans, BJ, Griebel, A, Hutley, LB, Keenan, T, Kljun, N, Macfarlane, C, Meyer, WS, McHugh, I, Pendall, E, Prober, SM, and Silberstein, R

Subjects
Meteorology & Atmospheric Sciences, Earth Sciences, Environmental Sciences, Biological Sciences
Abstract

As a result of climate change warmer temperatures are projected through the 21st century and are already increasing above modelled predictions. Apart from increases in the mean, warm/hot temperature extremes are expected to become more prevalent in the future, along with an increase in the frequency of droughts. It is crucial to better understand the response of terrestrial ecosystems to such temperature extremes for predicting land-surface feedbacks in a changing climate. While land-surface feedbacks in drought conditions and during heat waves have been reported from Europe and the US, direct observations of the impact of such extremes on the carbon and water cycles in Australia have been lacking. During the 2012/2013 summer, Australia experienced a record-breaking heat wave with an exceptional spatial extent that lasted for several weeks. In this study we synthesised eddy-covariance measurements from seven woodlands and one forest site across three biogeographic regions in southern Australia. These observations were combined with model results from BIOS2 (Haverd et al., 2013a, b) to investigate the effect of the summer heat wave on the carbon and water exchange of terrestrial ecosystems which are known for their resilience toward hot and dry conditions. We found that water-limited woodland and energy-limited forest ecosystems responded differently to the heat wave. During the most intense part of the heat wave, the woodlands experienced decreased latent heat flux (23ĝ€% of background value), increased Bowen ratio (154ĝ€%) and reduced carbon uptake (60ĝ€%). At the same time the forest ecosystem showed increased latent heat flux (151ĝ€%), reduced Bowen ratio (19ĝ€%) and increased carbon uptake (112ĝ€%). Higher temperatures caused increased ecosystem respiration at all sites (up to 139ĝ€%). During daytime all ecosystems remained carbon sinks, but carbon uptake was reduced in magnitude. The number of hours during which the ecosystem acted as a carbon sink was also reduced, which switched the woodlands into a carbon source on a daily average. Precipitation occurred after the first, most intense part of the heat wave, and the subsequent cooler temperatures in the temperate woodlands led to recovery of the carbon sink, decreased the Bowen ratio (65ĝ€%) and hence increased evaporative cooling. Gross primary productivity in the woodlands recovered quickly with precipitation and cooler temperatures but respiration remained high. While the forest proved relatively resilient to this short-Term heat extreme the response of the woodlands is the first direct evidence that the carbon sinks of large areas of Australia may not be sustainable in a future climate with an increased number, intensity and duration of heat waves.

Published
2016

3. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network

Author

Beringer, J, Moore, CE, Cleverly, J, Campbell, D, Cleugh, H, De Kauwe, MG, Kirschbaum, MUF, Griebel, A, Grover, S, Huete, A, Hutley, LB, Laubach, J, Van Niel, T, Arndt, SK, Bennett, AC, Cernusak, LA, Eamus, D, Ewenz, CM, Goodrich, JP, Jiang, M, Hinko-Najera, N, Isaac, P, Hobeichi, S, Knauer, J, Koerber, GR, Liddell, M, Ma, X, Macfarlane, C, McHugh, ID, Medlyn, BE, Meyer, WS, Norton, AJ, Owens, J, Pitman, A, Pendall, E, Prober, SM, Ray, RL, Restrepo-Coupe, N, Rifai, SW, Rowlings, D, Schipper, L, Silberstein, RP, Teckentrup, L, Thompson, SE, Ukkola, AM, Wall, A, Wang, Y-P, Wardlaw, TJ, Woodgate, W, Beringer, J, Moore, CE, Cleverly, J, Campbell, D, Cleugh, H, De Kauwe, MG, Kirschbaum, MUF, Griebel, A, Grover, S, Huete, A, Hutley, LB, Laubach, J, Van Niel, T, Arndt, SK, Bennett, AC, Cernusak, LA, Eamus, D, Ewenz, CM, Goodrich, JP, Jiang, M, Hinko-Najera, N, Isaac, P, Hobeichi, S, Knauer, J, Koerber, GR, Liddell, M, Ma, X, Macfarlane, C, McHugh, ID, Medlyn, BE, Meyer, WS, Norton, AJ, Owens, J, Pitman, A, Pendall, E, Prober, SM, Ray, RL, Restrepo-Coupe, N, Rifai, SW, Rowlings, D, Schipper, L, Silberstein, RP, Teckentrup, L, Thompson, SE, Ukkola, AM, Wall, A, Wang, Y-P, Wardlaw, TJ, and Woodgate, W

Abstract

In 2020, the Australian and New Zealand flux research and monitoring network, OzFlux, celebrated its 20th anniversary by reflecting on the lessons learned through two decades of ecosystem studies on global change biology. OzFlux is a network not only for ecosystem researchers, but also for those 'next users' of the knowledge, information and data that such networks provide. Here, we focus on eight lessons across topics of climate change and variability, disturbance and resilience, drought and heat stress and synergies with remote sensing and modelling. In distilling the key lessons learned, we also identify where further research is needed to fill knowledge gaps and improve the utility and relevance of the outputs from OzFlux. Extreme climate variability across Australia and New Zealand (droughts and flooding rains) provides a natural laboratory for a global understanding of ecosystems in this time of accelerating climate change. As evidence of worsening global fire risk emerges, the natural ability of these ecosystems to recover from disturbances, such as fire and cyclones, provides lessons on adaptation and resilience to disturbance. Drought and heatwaves are common occurrences across large parts of the region and can tip an ecosystem's carbon budget from a net CO2 sink to a net CO2 source. Despite such responses to stress, ecosystems at OzFlux sites show their resilience to climate variability by rapidly pivoting back to a strong carbon sink upon the return of favourable conditions. Located in under-represented areas, OzFlux data have the potential for reducing uncertainties in global remote sensing products, and these data provide several opportunities to develop new theories and improve our ecosystem models. The accumulated impacts of these lessons over the last 20 years highlights the value of long-term flux observations for natural and managed systems. A future vision for OzFlux includes ongoing and newly developed synergies with ecophysiologists, ecologists

Published
2022

4. Land surface phenology retrievals for arid and semi-arid ecosystems

Author

Xie, Q, Cleverly, J, Moore, CE, Ding, Y, Hall, CC, Ma, X, Brown, LA, Wang, C, Beringer, J, Prober, SM, Macfarlane, C, Meyer, WS, Yin, G, Huete, A, Xie, Q, Cleverly, J, Moore, CE, Ding, Y, Hall, CC, Ma, X, Brown, LA, Wang, C, Beringer, J, Prober, SM, Macfarlane, C, Meyer, WS, Yin, G, and Huete, A

Abstract

Land surface phenology (LSP) plays a critical role in the regulation of photosynthesis, evapotranspiration, and energy fluxes. Significant progress has been made in extracting LSP information over large areas using satellite data, yet LSP retrievals remain a challenge over vast arid and semi-arid ecosystems because of sparse greenness, high variability and the lack of distinct annual patterns; for example, the MODerate Imaging Spectrometer (MODIS) Land Cover Dynamics Product MCD12Q2 that provides LSP metrics globally often failed to provide LSP information in these ecosystems. In this study, we used a modified threshold algorithm to extract LSP timing metrics, including the start, peak, and end of growing seasons, using the 16-day composite Enhanced Vegetation Index (EVI) time series from MODIS data. We applied this regionally customized algorithm across all arid and semi-arid climate regions of Australia (75% of the continental land area) encompassing shrublands, grasslands, savannas, woodlands, and croplands, extracting LSP metrics annually from 2003 to 2018, with up to two (phenology) seasons accounted for in each year. Our algorithm yielded an average of 64.9% successful rate of retrieval (proportion of pixels with retrieved LSP metrics) across 16 years in Arid and Semi-arid AUStralia (AS-AUS), which was a significant increase compared to the 14.5% rate of retrieval yielded in our study area by the global product and the major cause of the different performances between these two approaches was the different EVI amplitude restrictions utilized to avoid spurious peaks (i.e. EVI amplitude ≥ 0.1 used by the global product and peak EVI ≥ time series average EVI used by our algorithm). Gross primary productivity (GPP) measurements at OzFlux eddy covariance (EC) tower sites were used to cross-compare with the presence/absence of growing seasons detected by our algorithm, and 97% of our retrieved seasons matched with those extracted using EC data. Preliminary tests at

Published
2022

5. AusTraits, a curated plant trait database for the Australian flora

Author

Falster, D, Gallagher, R, Wenk, EH, Wright, IJ, Indiarto, D, Andrew, SC, Baxter, C, Lawson, J, Allen, S, Fuchs, A, Monro, A, Kar, F, Adams, MA, Ahrens, CW, Alfonzetti, M, Angevin, T, Apgaua, DMG, Arndt, S, Atkin, OK, Atkinson, J, Auld, T, Baker, A, von Balthazar, M, Bean, A, Blackman, CJ, Bloomfeld, K, Bowman, DMJS, Bragg, J, Brodribb, TJ, Buckton, G, Burrows, G, Caldwell, E, Camac, J, Carpenter, R, Catford, J, Cawthray, GR, Cernusak, LA, Chandler, G, Chapman, AR, Cheal, D, Cheesman, AW, Chen, S-C, Choat, B, Clinton, B, Clode, PL, Coleman, H, Cornwell, WK, Cosgrove, M, Crisp, M, Cross, E, Crous, KY, Cunningham, S, Curran, T, Curtis, E, Daws, M, DeGabriel, JL, Denton, MD, Dong, N, Du, P, Duan, H, Duncan, DH, Duncan, RP, Duretto, M, Dwyer, JM, Edwards, C, Esperon-Rodriguez, M, Evans, JR, Everingham, SE, Farrell, C, Firn, J, Fonseca, CR, French, BJ, Frood, D, Funk, JL, Geange, SR, Ghannoum, O, Gleason, SM, Gosper, CR, Gray, E, Groom, PK, Grootemaat, S, Gross, C, Guerin, G, Guja, L, Hahs, AK, Harrison, MT, Hayes, PE, Henery, M, Hochuli, D, Howell, J, Huang, G, Hughes, L, Huisman, J, Ilic, J, Jagdish, A, Jin, D, Jordan, G, Jurado, E, Kanowski, J, Kasel, S, Kellermann, J, Kenny, B, Kohout, M, Kooyman, RM, Kotowska, MM, Lai, HR, Laliberte, E, Lambers, H, Lamont, BB, Lanfear, R, van Langevelde, F, Laughlin, DC, Laugier-kitchener, B-A, Laurance, S, Lehmann, CER, Leigh, A, Leishman, MR, Lenz, T, Lepschi, B, Lewis, JD, Lim, F, Liu, U, Lord, J, Lusk, CH, Macinnis-Ng, C, McPherson, H, Magallon, S, Manea, A, Lopez-Martinez, A, Mayfeld, M, McCarthy, JK, Meers, T, van der Merwe, M, Metcalfe, DJ, Milberg, P, Mokany, K, Moles, AT, Moore, BD, Moore, N, Morgan, JW, Morris, W, Muir, A, Munroe, S, Nicholson, A, Nicolle, D, Nicotra, AB, Niinemets, U, North, T, O'Reilly-Nugent, A, O'Sullivan, OS, Oberle, B, Onoda, Y, Ooi, MKJ, Osborne, CP, Paczkowska, G, Pekin, B, Pereira, CG, Pickering, C, Pickup, M, Pollock, LJ, Poot, P, Powell, JR, Power, S, Prentice, IC, Prior, L, Prober, SM, Read, J, Reynolds, V, Richards, AE, Richardson, B, Roderick, ML, Rosell, JA, Rossetto, M, Rye, B, Rymer, PD, Sams, M, Sanson, G, Sauquet, H, Schmidt, S, Schoenenberger, J, Schulze, E-D, Sendall, K, Sinclair, S, Smith, B, Smith, R, Soper, F, Sparrow, B, Standish, RJ, Staples, TL, Stephens, R, Szota, C, Taseski, G, Tasker, E, Thomas, F, Tissue, DT, Tjoelker, MG, Tng, DYP, de Tombeur, F, Tomlinson, K, Turner, NC, Veneklaas, EJ, Venn, Susanna, Vesk, P, Vlasveld, C, Vorontsova, MS, Warren, CA, Warwick, N, Weerasinghe, LK, Wells, J, Westoby, M, White, M, Williams, NSG, Wills, J, Wilson, PG, Yates, C, Zanne, AE, Zemunik, G, Zieminska, K, Falster, D, Gallagher, R, Wenk, EH, Wright, IJ, Indiarto, D, Andrew, SC, Baxter, C, Lawson, J, Allen, S, Fuchs, A, Monro, A, Kar, F, Adams, MA, Ahrens, CW, Alfonzetti, M, Angevin, T, Apgaua, DMG, Arndt, S, Atkin, OK, Atkinson, J, Auld, T, Baker, A, von Balthazar, M, Bean, A, Blackman, CJ, Bloomfeld, K, Bowman, DMJS, Bragg, J, Brodribb, TJ, Buckton, G, Burrows, G, Caldwell, E, Camac, J, Carpenter, R, Catford, J, Cawthray, GR, Cernusak, LA, Chandler, G, Chapman, AR, Cheal, D, Cheesman, AW, Chen, S-C, Choat, B, Clinton, B, Clode, PL, Coleman, H, Cornwell, WK, Cosgrove, M, Crisp, M, Cross, E, Crous, KY, Cunningham, S, Curran, T, Curtis, E, Daws, M, DeGabriel, JL, Denton, MD, Dong, N, Du, P, Duan, H, Duncan, DH, Duncan, RP, Duretto, M, Dwyer, JM, Edwards, C, Esperon-Rodriguez, M, Evans, JR, Everingham, SE, Farrell, C, Firn, J, Fonseca, CR, French, BJ, Frood, D, Funk, JL, Geange, SR, Ghannoum, O, Gleason, SM, Gosper, CR, Gray, E, Groom, PK, Grootemaat, S, Gross, C, Guerin, G, Guja, L, Hahs, AK, Harrison, MT, Hayes, PE, Henery, M, Hochuli, D, Howell, J, Huang, G, Hughes, L, Huisman, J, Ilic, J, Jagdish, A, Jin, D, Jordan, G, Jurado, E, Kanowski, J, Kasel, S, Kellermann, J, Kenny, B, Kohout, M, Kooyman, RM, Kotowska, MM, Lai, HR, Laliberte, E, Lambers, H, Lamont, BB, Lanfear, R, van Langevelde, F, Laughlin, DC, Laugier-kitchener, B-A, Laurance, S, Lehmann, CER, Leigh, A, Leishman, MR, Lenz, T, Lepschi, B, Lewis, JD, Lim, F, Liu, U, Lord, J, Lusk, CH, Macinnis-Ng, C, McPherson, H, Magallon, S, Manea, A, Lopez-Martinez, A, Mayfeld, M, McCarthy, JK, Meers, T, van der Merwe, M, Metcalfe, DJ, Milberg, P, Mokany, K, Moles, AT, Moore, BD, Moore, N, Morgan, JW, Morris, W, Muir, A, Munroe, S, Nicholson, A, Nicolle, D, Nicotra, AB, Niinemets, U, North, T, O'Reilly-Nugent, A, O'Sullivan, OS, Oberle, B, Onoda, Y, Ooi, MKJ, Osborne, CP, Paczkowska, G, Pekin, B, Pereira, CG, Pickering, C, Pickup, M, Pollock, LJ, Poot, P, Powell, JR, Power, S, Prentice, IC, Prior, L, Prober, SM, Read, J, Reynolds, V, Richards, AE, Richardson, B, Roderick, ML, Rosell, JA, Rossetto, M, Rye, B, Rymer, PD, Sams, M, Sanson, G, Sauquet, H, Schmidt, S, Schoenenberger, J, Schulze, E-D, Sendall, K, Sinclair, S, Smith, B, Smith, R, Soper, F, Sparrow, B, Standish, RJ, Staples, TL, Stephens, R, Szota, C, Taseski, G, Tasker, E, Thomas, F, Tissue, DT, Tjoelker, MG, Tng, DYP, de Tombeur, F, Tomlinson, K, Turner, NC, Veneklaas, EJ, Venn, Susanna, Vesk, P, Vlasveld, C, Vorontsova, MS, Warren, CA, Warwick, N, Weerasinghe, LK, Wells, J, Westoby, M, White, M, Williams, NSG, Wills, J, Wilson, PG, Yates, C, Zanne, AE, Zemunik, G, and Zieminska, K

Published
2021

6. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (vol 7, 225, 2020)

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brummer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grunwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hortnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Luers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41597-021-00851-9.

Published
2021

7. Combating ecosystem collapse from the tropics to the Antarctic

Author

Bergstrom, DM, Wienecke, BC, van den Hoff, J, Hughes, L, Lindenmayer, DB, Ainsworth, TD, Baker, CM, Bland, L, Bowman, DMJS, Brooks, ST, Canadell, JG, Constable, AJ, Dafforn, KA, Depledge, MH, Dickson, CR, Duke, NC, Helmstedt, KJ, Holz, A, Johnson, CR, McGeoch, MA, Melbourne-Thomas, J, Morgain, R, Nicholson, E, Prober, SM, Raymond, B, Ritchie, EG, Robinson, SA, Ruthrof, KX, Setterfield, SA, Sgro, CM, Stark, JS, Travers, T, Trebilco, R, Ward, DFL, Wardle, GM, Williams, KJ, Zylstra, PJ, Shaw, JD, Bergstrom, DM, Wienecke, BC, van den Hoff, J, Hughes, L, Lindenmayer, DB, Ainsworth, TD, Baker, CM, Bland, L, Bowman, DMJS, Brooks, ST, Canadell, JG, Constable, AJ, Dafforn, KA, Depledge, MH, Dickson, CR, Duke, NC, Helmstedt, KJ, Holz, A, Johnson, CR, McGeoch, MA, Melbourne-Thomas, J, Morgain, R, Nicholson, E, Prober, SM, Raymond, B, Ritchie, EG, Robinson, SA, Ruthrof, KX, Setterfield, SA, Sgro, CM, Stark, JS, Travers, T, Trebilco, R, Ward, DFL, Wardle, GM, Williams, KJ, Zylstra, PJ, and Shaw, JD

Abstract

Globally, collapse of ecosystems-potentially irreversible change to ecosystem structure, composition and function-imperils biodiversity, human health and well-being. We examine the current state and recent trajectories of 19 ecosystems, spanning 58° of latitude across 7.7 M km2 , from Australia's coral reefs to terrestrial Antarctica. Pressures from global climate change and regional human impacts, occurring as chronic 'presses' and/or acute 'pulses', drive ecosystem collapse. Ecosystem responses to 5-17 pressures were categorised as four collapse profiles-abrupt, smooth, stepped and fluctuating. The manifestation of widespread ecosystem collapse is a stark warning of the necessity to take action. We present a three-step assessment and management framework (3As Pathway Awareness, Anticipation and Action) to aid strategic and effective mitigation to alleviate further degradation to help secure our future.

Published
2021

8. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Reichstein, M, Ribeca, A, van Ingen, C, Vuichard, N, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardö, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Brümmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D’Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrêne, E, Dunn, A, Dušek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Grünwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hörtnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janouš, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, López-Ballesteros, A, López-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lüers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, Ü, Raz-Yaseef, N, Rebmann, C, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sánchez-Cañete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlák, P, Serrano-Ortíz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Šigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

The following authors were omitted from the original version of this Data Descriptor: Markus Reichstein and Nicolas Vuichard. Both contributed to the code development and N. Vuichard contributed to the processing of the ERA-Interim data downscaling. Furthermore, the contribution of the co-author Frank Tiedemann was re-evaluated relative to the colleague Corinna Rebmann, both working at the same sites, and based on this re-evaluation a substitution in the co-author list is implemented (with Rebmann replacing Tiedemann). Finally, two affiliations were listed incorrectly and are corrected here (entries 190 and 193). The author list and affiliations have been amended to address these omissions in both the HTML and PDF versions.

Published
2021

9. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Ribeca, A, van Ingen, C, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Bruemmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Gruenwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hoertnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lueers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tiedemann, F, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, Papale, D, Pastorello, G, Trotta, C, Canfora, E, Chu, H, Christianson, D, Cheah, Y-W, Poindexter, C, Chen, J, Elbashandy, A, Humphrey, M, Isaac, P, Polidori, D, Ribeca, A, van Ingen, C, Zhang, L, Amiro, B, Ammann, C, Arain, MA, Ardo, J, Arkebauer, T, Arndt, SK, Arriga, N, Aubinet, M, Aurela, M, Baldocchi, D, Barr, A, Beamesderfer, E, Marchesini, LB, Bergeron, O, Beringer, J, Bernhofer, C, Berveiller, D, Billesbach, D, Black, TA, Blanken, PD, Bohrer, G, Boike, J, Bolstad, PV, Bonal, D, Bonnefond, J-M, Bowling, DR, Bracho, R, Brodeur, J, Bruemmer, C, Buchmann, N, Burban, B, Burns, SP, Buysse, P, Cale, P, Cavagna, M, Cellier, P, Chen, S, Chini, I, Christensen, TR, Cleverly, J, Collalti, A, Consalvo, C, Cook, BD, Cook, D, Coursolle, C, Cremonese, E, Curtis, PS, D'Andrea, E, da Rocha, H, Dai, X, Davis, KJ, De Cinti, B, de Grandcourt, A, De Ligne, A, De Oliveira, RC, Delpierre, N, Desai, AR, Di Bella, CM, di Tommasi, P, Dolman, H, Domingo, F, Dong, G, Dore, S, Duce, P, Dufrene, E, Dunn, A, Dusek, J, Eamus, D, Eichelmann, U, ElKhidir, HAM, Eugster, W, Ewenz, CM, Ewers, B, Famulari, D, Fares, S, Feigenwinter, I, Feitz, A, Fensholt, R, Filippa, G, Fischer, M, Frank, J, Galvagno, M, Gharun, M, Gianelle, D, Gielen, B, Gioli, B, Gitelson, A, Goded, I, Goeckede, M, Goldstein, AH, Gough, CM, Goulden, ML, Graf, A, Griebel, A, Gruening, C, Gruenwald, T, Hammerle, A, Han, S, Han, X, Hansen, BU, Hanson, C, Hatakka, J, He, Y, Hehn, M, Heinesch, B, Hinko-Najera, N, Hoertnagl, L, Hutley, L, Ibrom, A, Ikawa, H, Jackowicz-Korczynski, M, Janous, D, Jans, W, Jassal, R, Jiang, S, Kato, T, Khomik, M, Klatt, J, Knohl, A, Knox, S, Kobayashi, H, Koerber, G, Kolle, O, Kosugi, Y, Kotani, A, Kowalski, A, Kruijt, B, Kurbatova, J, Kutsch, WL, Kwon, H, Launiainen, S, Laurila, T, Law, B, Leuning, R, Li, Y, Liddell, M, Limousin, J-M, Lion, M, Liska, AJ, Lohila, A, Lopez-Ballesteros, A, Lopez-Blanco, E, Loubet, B, Loustau, D, Lucas-Moffat, A, Lueers, J, Ma, S, Macfarlane, C, Magliulo, V, Maier, R, Mammarella, I, Manca, G, Marcolla, B, Margolis, HA, Marras, S, Massman, W, Mastepanov, M, Matamala, R, Matthes, JH, Mazzenga, F, McCaughey, H, McHugh, I, McMillan, AMS, Merbold, L, Meyer, W, Meyers, T, Miller, SD, Minerbi, S, Moderow, U, Monson, RK, Montagnani, L, Moore, CE, Moors, E, Moreaux, V, Moureaux, C, Munger, JW, Nakai, T, Neirynck, J, Nesic, Z, Nicolini, G, Noormets, A, Northwood, M, Nosetto, M, Nouvellon, Y, Novick, K, Oechel, W, Olesen, JE, Ourcival, J-M, Papuga, SA, Parmentier, F-J, Paul-Limoges, E, Pavelka, M, Peichl, M, Pendall, E, Phillips, RP, Pilegaard, K, Pirk, N, Posse, G, Powell, T, Prasse, H, Prober, SM, Rambal, S, Rannik, U, Raz-Yaseef, N, Reed, D, de Dios, VR, Restrepo-Coupe, N, Reverter, BR, Roland, M, Sabbatini, S, Sachs, T, Saleska, SR, Sanchez-Canete, EP, Sanchez-Mejia, ZM, Schmid, HP, Schmidt, M, Schneider, K, Schrader, F, Schroder, I, Scott, RL, Sedlak, P, Serrano-Ortiz, P, Shao, C, Shi, P, Shironya, I, Siebicke, L, Sigut, L, Silberstein, R, Sirca, C, Spano, D, Steinbrecher, R, Stevens, RM, Sturtevant, C, Suyker, A, Tagesson, T, Takanashi, S, Tang, Y, Tapper, N, Thom, J, Tiedemann, F, Tomassucci, M, Tuovinen, J-P, Urbanski, S, Valentini, R, van der Molen, M, van Gorsel, E, van Huissteden, K, Varlagin, A, Verfaillie, J, Vesala, T, Vincke, C, Vitale, D, Vygodskaya, N, Walker, JP, Walter-Shea, E, Wang, H, Weber, R, Westermann, S, Wille, C, Wofsy, S, Wohlfahrt, G, Wolf, S, Woodgate, W, Zampedri, R, Zhang, J, Zhou, G, Zona, D, Agarwal, D, Biraud, S, Torn, M, and Papale, D

Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

Published
2020

10. Combined Analyses of Phenotype, Genotype and Climate Implicate Local Adaptation as a Driver of Diversity inEucalyptus microcarpa(Grey Box)

Author

Jordan, R, Prober, SM, Hoffmann, AA, Dillon, SK, Jordan, R, Prober, SM, Hoffmann, AA, and Dillon, SK

Abstract

Trees are a keystone species in many ecosystems and a critical component of ecological restoration. Understanding their capacity to respond to climate change is essential for conserving biodiversity and determining appropriate restoration seed sources. Patterns of local adaptation to climate between populations within a species can inform such conservation decisions and are often investigated from either a quantitative trait or molecular genetic basis. Here, we present findings from a combined analysis of phenotype (quantitative genetic analysis), genotype (single nucleotide polymorphism (SNP) trait associations), and climate associations. We draw on the strength of this combined approach to investigate pre-existing climate adaptation and its genetic basis in Eucalyptus microcarpa (Grey box), an important tree for ecological restoration in south-eastern Australia. Phenotypic data from a 26-year-old provenance trial demonstrated significant genetic variation in growth and leaf traits at both the family and provenance levels. Growth traits were only associated with temperature, whilst leaf traits were associated with temperature, precipitation and aridity. Genotyping of 40 putatively adaptive SNPs from previous genome-wide analyses identified 9 SNPs associated with these traits. Drawing on previous SNP–climate association results, several associations were identified between all three comparisons of phenotype, genotype and climate. By combining phenotypic with genomic analyses, these results corroborate genomic findings and enhance understanding of climate adaptation in E. microcarpa. We discuss the implication of these results for conservation management and restoration under climate change.

Published
2020

11. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author

Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tiedemann F, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D, Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond J-M, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin J-M, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival J-M, Papuga SA, Parmentier F-J, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tiedemann F, Tomassucci M, Tuovinen J-P, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, and Papale D

Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

Published
2020

13. A continental-scale assessment of variability in leaf traits: Within species, across sites and between seasons

Author

Bloomfield, KJ, Cernusak, LA, Eamus, D, Ellsworth, DS, Colin Prentice, I, Wright, IJ, Boer, MM, Bradford, MG, Cale, P, Cleverly, J, Egerton, JJG, Evans, BJ, Hayes, LS, Hutchinson, MF, Liddell, MJ, Macfarlane, C, Meyer, WS, Prober, SM, Togashi, HF, Wardlaw, T, Zhu, L, Atkin, OK, Bloomfield, KJ, Cernusak, LA, Eamus, D, Ellsworth, DS, Colin Prentice, I, Wright, IJ, Boer, MM, Bradford, MG, Cale, P, Cleverly, J, Egerton, JJG, Evans, BJ, Hayes, LS, Hutchinson, MF, Liddell, MJ, Macfarlane, C, Meyer, WS, Prober, SM, Togashi, HF, Wardlaw, T, Zhu, L, and Atkin, OK

Abstract

© 2018 The Authors. Functional Ecology © 2018 British Ecological Society Plant species show considerable leaf trait variability that should be accounted for in dynamic global vegetation models (DGVMs). In particular, differences in the acclimation of leaf traits during periods more and less favourable to growth have rarely been examined. We conducted a field study of leaf trait variation at seven sites spanning a range of climates and latitudes across the Australian continent; 80 native plant species were included. We measured key traits associated with leaf structure, chemistry and metabolism during the favourable and unfavourable growing seasons. Leaf traits differed widely in the degree of seasonal variation displayed. Leaf mass per unit area (Ma) showed none. At the other extreme, seasonal variation accounted for nearly a third of total variability in dark respiration (Rdark). At the non-tropical sites, carboxylation capacity (Vcmax) at the prevailing growth temperature was typically higher in summer than in winter. When Vcmax was normalized to a common reference temperature (25°C), however, the opposite pattern was observed for about 30% of the species. This suggests that metabolic acclimation is possible, but far from universal. Intraspecific variation—combining measurements of individual plants repeated at contrasting seasons, different leaves from the same individual, and multiple conspecific plants at a given site—dominated total variation for leaf metabolic traits Vcmax and Rdark. By contrast, site location was the major source of variation (53%) for Ma. Interspecific trait variation ranged from only 13% of total variation for Vcmax up to 43% for nitrogen content per unit leaf area. These findings do not support a common practice in DGVMs of assigning fixed leaf trait values to plant functional types. Trait-based models should allow for interspecific differences, together with spatial and temporal plasticity in leaf structural, chemical and metabolic trait

Published
2018

15. Bioclimatic transect networks: Powerful observatories of ecological change

Author

Caddy-Retalic, S, Andersen, AN, Aspinwall, MJ, Breed, MF, Byrne, M, Christmas, MJ, Dong, N, Evans, BJ, Fordham, DA, Guerin, GR, Hoffmann, AA, Hughes, AC, van Leeuwen, SJ, McInerney, FA, Prober, SM, Rossetto, M, Rymer, PD, Steane, DA, Wardle, GM, Lowe, AJ, Caddy-Retalic, S, Andersen, AN, Aspinwall, MJ, Breed, MF, Byrne, M, Christmas, MJ, Dong, N, Evans, BJ, Fordham, DA, Guerin, GR, Hoffmann, AA, Hughes, AC, van Leeuwen, SJ, McInerney, FA, Prober, SM, Rossetto, M, Rymer, PD, Steane, DA, Wardle, GM, and Lowe, AJ

Abstract

Transects that traverse substantial climate gradients are important tools for climate change research and allow questions on the extent to which phenotypic variation associates with climate, the link between climate and species distributions, and variation in sensitivity to climate change among biomes to be addressed. However, the potential limitations of individual transect studies have recently been highlighted. Here, we argue that replicating and networking transects, along with the introduction of experimental treatments, addresses these concerns. Transect networks provide cost-effective and robust insights into ecological and evolutionary adaptation and improve forecasting of ecosystem change. We draw on the experience and research facilitated by the Australian Transect Network to demonstrate our case, with examples, to clarify how population- and community-level studies can be integrated with observations from multiple transects, manipulative experiments, genomics, and ecological modeling to gain novel insights into how species and systems respond to climate change. This integration can provide a spatiotemporal understanding of past and future climate-induced changes, which will inform effective management actions for promoting biodiversity resilience.

Published
2017

16. Evidence of genomic adaptation to climate in Eucalyptus microcarpa: Implications for adaptive potential to projected climate change

Author

Jordan, R, Hoffmann, AA, Dillon, SK, Prober, SM, Jordan, R, Hoffmann, AA, Dillon, SK, and Prober, SM

Abstract

Understanding whether populations can adapt in situ or whether interventions are required is of key importance for biodiversity management under climate change. Landscape genomics is becoming an increasingly important and powerful tool for rapid assessments of climate adaptation, especially in long-lived species such as trees. We investigated climate adaptation in Eucalyptus microcarpa using the DArTseq genomic approach. A combination of FST outlier and environmental association analyses were performed using >4200 genomewide single nucleotide polymorphisms (SNPs) from 26 populations spanning climate gradients in southeastern Australia. Eighty-one SNPs were identified as putatively adaptive, based on significance in FST outlier tests and significant associations with one or more climate variables related to temperature (70/81), aridity (37/81) or precipitation (35/81). Adaptive SNPs were located on all 11 chromosomes, with no particular region associated with individual climate variables. Climate adaptation appeared to be characterized by subtle shifts in allele frequencies, with no consistent fixed differences identified. Based on these associations, we predict adaptation under projected changes in climate will include a suite of shifts in allele frequencies. Whether this can occur sufficiently rapidly through natural selection within populations, or would benefit from assisted gene migration, requires further evaluation. In some populations, the absence or predicted increases to near fixation of particular adaptive alleles hint at potential limits to adaptive capacity. Together, these results reinforce the importance of standing genetic variation at the geographic level for maintaining species' evolutionary potential.

Published
2017

17. Landscape genomics reveals altered genome wide diversity within revegetated stands of Eucalyptus microcarpa (Grey Box)

Author

Jordan, R, Dillon, SK, Prober, SM, Hoffmann, AA, Jordan, R, Dillon, SK, Prober, SM, and Hoffmann, AA

Abstract

In order to contribute to evolutionary resilience and adaptive potential in highly modified landscapes, revegetated areas should ideally reflect levels of genetic diversity within and across natural stands. Landscape genomic analyses enable such diversity patterns to be characterized at genome and chromosomal levels. Landscape-wide patterns of genomic diversity were assessed in Eucalyptus microcarpa, a dominant tree species widely used in revegetation in Southeastern Australia. Trees from small and large patches within large remnants, small isolated remnants and revegetation sites were assessed across the now highly fragmented distribution of this species using the DArTseq genomic approach. Genomic diversity was similar within all three types of remnant patches analysed, although often significantly but only slightly lower in revegetation sites compared with natural remnants. Differences in diversity between stand types varied across chromosomes. Genomic differentiation was higher between small, isolated remnants, and among revegetated sites compared with natural stands. We conclude that small remnants and revegetated sites of our E. microcarpa samples largely but not completely capture patterns in genomic diversity across the landscape. Genomic approaches provide a powerful tool for assessing restoration efforts across the landscape.

Published
2016

18. An introduction to the Australian and New Zealand flux tower network - OzFlux

Author

Beringer, J, Hutley, LB, McHugh, I, Arndt, SK, Campbell, D, Cleugh, HA, Cleverly, J, Resco de Dios, V, Eamus, D, Evans, B, Ewenz, C, Grace, P, Griebel, A, Haverd, V, Hinko-Najera, N, Huete, A, Isaac, P, Kanniah, K, Leuning, R, Liddell, MJ, Macfarlane, C, Meyer, W, Moore, C, Pendall, E, Phillips, A, Phillips, RL, Prober, SM, Restrepo-Coupe, N, Rutledge, S, Schroder, I, Silberstein, R, Southall, P, Yee, MS, Tapper, NJ, van Gorsel, E, Vote, C, Walker, J, Wardlaw, T, Beringer, J, Hutley, LB, McHugh, I, Arndt, SK, Campbell, D, Cleugh, HA, Cleverly, J, Resco de Dios, V, Eamus, D, Evans, B, Ewenz, C, Grace, P, Griebel, A, Haverd, V, Hinko-Najera, N, Huete, A, Isaac, P, Kanniah, K, Leuning, R, Liddell, MJ, Macfarlane, C, Meyer, W, Moore, C, Pendall, E, Phillips, A, Phillips, RL, Prober, SM, Restrepo-Coupe, N, Rutledge, S, Schroder, I, Silberstein, R, Southall, P, Yee, MS, Tapper, NJ, van Gorsel, E, Vote, C, Walker, J, and Wardlaw, T

Abstract

OzFlux is the regional Australian and New Zealand flux tower network that aims to provide a continental-scale national research facility to monitor and assess trends, and improve predictions, of Australia's terrestrial biosphere and climate. This paper describes the evolution, design, and current status of OzFlux as well as provides an overview of data processing. We analyse measurements from all sites within the Australian portion of the OzFlux network and two sites from New Zealand. The response of the Australian biomes to climate was largely consistent with global studies except that Australian systems had a lower ecosystem water-use efficiency. Australian semi-arid/arid ecosystems are important because of their huge extent (70 %) and they have evolved with common moisture limitations. We also found that Australian ecosystems had a similar radiation-use efficiency per unit leaf area compared to global values that indicates a convergence toward a similar biochemical efficiency. The two New Zealand sites represented extremes in productivity for a moist temperate climate zone, with the grazed dairy farm site having the highest GPP of any OzFlux site (2620 gC m−2 yr−1) and the natural raised peat bog site having a very low GPP (820 gC m−2 yr−1). The paper discusses the utility of the flux data and the synergies between flux, remote sensing, and modelling. Lastly, the paper looks ahead at the future direction of the network and concludes that there has been a substantial contribution by OzFlux, and considerable opportunities remain to further advance our understanding of ecosystem response to disturbances, including drought, fire, land-use and land-cover change, land management, and climate change, which are relevant both nationally and internationally. It is suggested that a synergistic approach is required to address all of the spatial, ecological, human, and cultural challenges of managing the delicately balanced ecosystems in Australasia.

Published
2016

19. Species origin affects the rate of response to inter-annual growing season precipitation and nutrient addition in four Australian native grasslands

Author

Overbeck, G, Morgan, JW, Dwyer, JM, Price, JN, Prober, SM, Power, SA, Firn, J, Moore, JL, Wardle, GM, Seabloom, EW, Borer, ET, Camac, JS, Overbeck, G, Morgan, JW, Dwyer, JM, Price, JN, Prober, SM, Power, SA, Firn, J, Moore, JL, Wardle, GM, Seabloom, EW, Borer, ET, and Camac, JS

Abstract

QUESTIONS: Predicted increases in temperature and changes to precipitation are expected to alter the amount of plant available nutrients, in turn, altering rates of primary production and exotic plant invasions. However, it remains unclear whether increased responses occur in wetter than average years, even in low fertility and low rainfall regions. LOCATION: Four Australian grasslands, including sites in arid Western Australia, semi‐arid Victoria, alpine Victoria and sub‐tropical Queensland. METHODS: Using identical nutrient addition experiments, we use 6‐years of biomass, cover and species richness data to examine how rates of biomass production and native and exotic cover and richness are affected by growing season precipitation [proportion of yearly growing season precipitation (GSP) to long‐term mean GSP] and nutrient (N, P, K and micronutrients) addition. RESULTS: Rates of grassland productivity strongly increased with increasing GSP. GSP increased rates of native cover but not native or exotic richness, nor rates of exotic cover change. We detected no significant NPK effect on rates of grassland productivity, exotic cover or exotic richness change. In contrast, NPK addition decreased rates of native cover change and fertilized plots had significantly fewer native species. We did not detect a significant interaction between NPK and GSP. CONCLUSIONS: Grassland productivity was more strongly predicted by variation in growing season precipitation than by nutrient addition, suggesting it will vary with future changes in rainfall. Response to nutrients, however, depend on species origin, suggesting that increasing soil nutrient availability due to anthropogenic activities is likely to lead to negative effects on native species richness and cover.

Published
2016

20. The Australian SuperSite Network: A continental, long-term terrestrial ecosystem observatory

Author

Karan, M, Liddell, M, Prober, SM, Arndt, S, Beringer, J, Boer, M, Cleverly, J, Eamus, D, Grace, P, Van Gorsel, E, Hero, JM, Hutley, L, Macfarlane, C, Metcalfe, D, Meyer, W, Pendall, E, Sebastian, A, Wardlaw, T, Karan, M, Liddell, M, Prober, SM, Arndt, S, Beringer, J, Boer, M, Cleverly, J, Eamus, D, Grace, P, Van Gorsel, E, Hero, JM, Hutley, L, Macfarlane, C, Metcalfe, D, Meyer, W, Pendall, E, Sebastian, A, and Wardlaw, T

Abstract

© 2016 Elsevier B.V. Ecosystem monitoring networks aim to collect data on physical, chemical and biological systems and their interactions that shape the biosphere. Here we introduce the Australian SuperSite Network that, along with complementary facilities of Australia's Terrestrial Ecosystem Research Network (TERN), delivers field infrastructure and diverse, ecosystem-related datasets for use by researchers, educators and policy makers. The SuperSite Network uses infrastructure replicated across research sites in different biomes, to allow comparisons across ecosystems and improve scalability of findings to regional, continental and global scales. This conforms with the approaches of other ecosystem monitoring networks such as Critical Zone Observatories, the U.S. National Ecological Observatory Network; Analysis and Experimentation on Ecosystems, Europe; Chinese Ecosystem Research Network; International Long Term Ecological Research network and the United States Long Term Ecological Research Network. The Australian SuperSite Network currently involves 10 SuperSites across a diverse range of biomes, including tropical rainforest, grassland and savanna; wet and dry sclerophyll forest and woodland; and semi-arid grassland, woodland and savanna. The focus of the SuperSite Network is on using vegetation, faunal and biophysical monitoring to develop a process-based understanding of ecosystem function and change in Australian biomes; and to link this with data streams provided by the series of flux towers across the network. The Australian SuperSite Network is also intended to support a range of auxiliary researchers who contribute to the growing body of knowledge within and across the SuperSite Network, public outreach and education to promote environmental awareness and the role of ecosystem monitoring in the management of Australian environments.

Published
2016

21. Plant species' origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands

Author

Seabloom, EW, Borer, ET, Buckley, YM, Cleland, EE, Davies, KF, Firn, J, Harpole, WS, Hautier, Y, Lind, EM, MacDougall, AS, Orrock, JL, Prober, SM, Adler, PB, Anderson, TM, Bakker, JD, Biederman, LA, Blumenthal, DM, Brown, CS, Brudvig, LA, Cadotte, M, Chu, C, Cottingham, KL, Crawley, MJ, Damschen, EI, Dantonio, CM, DeCrappeo, NM, Du, G, Fay, PA, Frater, P, Gruner, DS, Hagenah, N, Hector, A, Hillebrand, H, Hofmockel, KS, Humphries, HC, Jin, VL, Kay, A, Kirkman, KP, Klein, JA, Knops, JMH, La Pierre, KJ, Ladwig, L, Lambrinos, JG, Li, Q, Li, W, Marushia, R, McCulley, RL, Melbourne, BA, Mitchell, CE, Moore, JL, Morgan, J, Mortensen, B, O'Halloran, LR, Pyke, DA, Risch, AC, Sankaran, M, Schuetz, M, Simonsen, A, Smith, MD, Stevens, CJ, Sullivan, L, Wolkovich, E, Wragg, PD, Wright, J, Yang, L, Seabloom, EW, Borer, ET, Buckley, YM, Cleland, EE, Davies, KF, Firn, J, Harpole, WS, Hautier, Y, Lind, EM, MacDougall, AS, Orrock, JL, Prober, SM, Adler, PB, Anderson, TM, Bakker, JD, Biederman, LA, Blumenthal, DM, Brown, CS, Brudvig, LA, Cadotte, M, Chu, C, Cottingham, KL, Crawley, MJ, Damschen, EI, Dantonio, CM, DeCrappeo, NM, Du, G, Fay, PA, Frater, P, Gruner, DS, Hagenah, N, Hector, A, Hillebrand, H, Hofmockel, KS, Humphries, HC, Jin, VL, Kay, A, Kirkman, KP, Klein, JA, Knops, JMH, La Pierre, KJ, Ladwig, L, Lambrinos, JG, Li, Q, Li, W, Marushia, R, McCulley, RL, Melbourne, BA, Mitchell, CE, Moore, JL, Morgan, J, Mortensen, B, O'Halloran, LR, Pyke, DA, Risch, AC, Sankaran, M, Schuetz, M, Simonsen, A, Smith, MD, Stevens, CJ, Sullivan, L, Wolkovich, E, Wragg, PD, Wright, J, and Yang, L

Abstract

Exotic species dominate many communities; however the functional significance of species' biogeographic origin remains highly contentious. This debate is fuelled in part by the lack of globally replicated, systematic data assessing the relationship between species provenance, function and response to perturbations. We examined the abundance of native and exotic plant species at 64 grasslands in 13 countries, and at a subset of the sites we experimentally tested native and exotic species responses to two fundamental drivers of invasion, mineral nutrient supplies and vertebrate herbivory. Exotic species are six times more likely to dominate communities than native species. Furthermore, while experimental nutrient addition increases the cover and richness of exotic species, nutrients decrease native diversity and cover. Native and exotic species also differ in their response to vertebrate consumer exclusion. These results suggest that species origin has functional significance, and that eutrophication will lead to increased exotic dominance in grasslands.

Published
2015

25. Termite sensitivity to temperature affects global wood decay rates

Author

Zanne, AE, Flores-Moreno, H, Powell, JR, Cornwell, WK, Dalling, JW, Austin, AT, Classen, AT, Eggleton, P, Okada, K-I, Parr, CL, Adair, EC, Adu-Bredu, S, Alam, Md Azharul, Alvarez-Garzón, C, Apgaua, D, Aragón, R, Ardon, M, Arndt, SK, Ashton, LA, Barber, NA, Beauchêne, J, Berg, MP, Beringer, J, Boer, MM, Bonet, JA, Bunney, K, Burkhardt, TJ, Carvalho, D, Castillo-Figueroa, D, Cernusak, LA, Cheesman, AW, Cirne-Silva, TM, Cleverly, JR, Cornelissen, JHC, Curran, Timothy, D'Angioli, AM, Dallstream, C, Eisenhauer, N, Evouna Ondo, F, Fajardo, A, Fernandez, RD, Ferrer, A, Fontes, MAL, Galatowitsch, ML, González, G, Gottschall, F, Grace, PR, Granda, E, Griffiths, HM, Guerra Lara, M, Hasegawa, M, Hefting, MM, Hinko-Najera, N, Hutley, LB, Jones, J, Kahl, A, Karan, M, Keuskamp, JA, Lardner, T, Liddell, M, Macfarlane, C, Macinnis-Ng, C, Mariano, RF, Soledad Méndez, M, Meyer, WS, Mori, AS, Moura, AS, Northwood, M, Ogaya, R, Oliveira, RS, Orgiazzi, A, Pardo, J, Peguero, G, Penuelas, J, Perez, LI, Posada, JM, Prada, CM, Přívětivý, T, Prober, SM, Prunier, J, Quansah, GW, Resco de Dios, V, Richter, R, Robertson, MP, Rocha, LF, Rúa, MA, Sarmiento, C, Silberstein, RP, Silva, MC, Siqueira, FF, Stillwagon, MG, Stol, J, Taylor, MK, Teste, FP, Tng, DYP, Tucker, D, Türke, M, Ulyshen, MD, Valverde-Barrantes, OJ, van den Berg, E, van Logtestijn, RSP, Veen, GFC, Vogel, JG, Wardlaw, TJ, Wiehl, G, Wirth, C, Woods, MJ, and Zalamea, P-C

Published
2022
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26. AusTraits, a curated plant trait database for the Australian flora

Author

Falster, D, Gallagher, R, Wenk, EH, Wright, IJ, Indiarto, D, Andrew, SC, Baxter, C, Lawson, J, Allen, S, Fuchs, A, Monro, A, Kar, F, Adams, MA, Ahrens, CW, Alfonzetti, M, Angevin, T, Apgaua, DMG, Arndt, S, Atkin, OK, Atkinson, J, Auld, T, Baker, A, von Balthazar, M, Bean, A, Blackman, CJ, Bloomfield, K, Bowman, DMJS, Bragg, J, Brodribb, TJ, Buckton, G, Burrows, G, Caldwell, E, Camac, J, Carpenter, R, Catford, JA, Cawthray, GR, Cernusak, LA, Chandler, G, Chapman, AR, Cheal, D, Cheesman, AW, Chen, S-C, Choat, B, Clinton, B, Clode, PL, Coleman, H, Cornwell, WK, Cosgrove, M, Crisp, M, Cross, E, Crous, KY, Cunningham, S, Curran, Timothy, Curtis, E, Daws, MI, DeGabriel, JL, Denton, MD, Dong, N, Du, P, Duan, H, Duncan, DH, Duncan, RP, Duretto, M, Dwyer, JM, Edwards, C, Esperon-Rodriguez, M, Evans, JR, Everingham, SE, Farrell, C, Firn, J, Fonseca, CR, French, BJ, Frood, D, Funk, JL, Geange, SR, Ghannoum, O, Gleason, SM, Gosper, CR, Gray, E, Groom, PK, Grootemaat, S, Gross, C, Guerin, G, Guja, L, Hahs, AK, Harrison, MT, Hayes, PE, Henery, M, Hochuli, D, Howell, J, Huang, G, Hughes, L, Huisman, J, Ilic, J, Jagdish, A, Jin, D, Jordan, G, Jurado, E, Kanowski, J, Kasel, S, Kellermann, J, Kenny, B, Kohout, M, Kooyman, RM, Kotowska, MM, Lai, HR, Laliberté, E, Lambers, H, Lamont, BB, Lanfear, R, van Langevelde, F, Laughlin, DC, Laugier-Kitchener, B-A, Laurance, S, Lehmann, CER, Leigh, A, Leishman, MR, Lenz, T, Lepschi, B, Lewis, JD, Lim, F, Liu, U, Lord, J, Lusk, CH, Macinnis-Ng, C, McPherson, H, Magallón, S, Manea, A, López-Martinez, A, Mayfield, M, McCarthy, JK, Meers, T, van der Merwe, M, Metcalfe, DJ, Milberg, P, Mokany, K, Moles, AT, Moore, BD, Moore, N, Morgan, JW, Morris, W, Muir, A, Munroe, S, Nicholson, Á, Nicolle, D, Nicotra, AB, Niinemets, Ü, North, T, O’Reilly-Nugent, A, O’Sullivan, OS, Oberle, B, Onoda, Y, Ooi, MKJ, Osborne, CP, Paczkowska, G, Pekin, B, Guilherme Pereira, C, Pickering, C, Pickup, M, Pollock, LJ, Poot, P, Powell, JR, Power, SA, Prentice, IC, Prior, L, Prober, SM, Read, J, Reynolds, V, Richards, AE, Richardson, B, Roderick, ML, Rosell, JA, Rossetto, M, Rye, B, Rymer, PD, Sams, MA, Sanson, G, Sauquet, H, Schmidt, S, Schönenberger, J, Schulze, E-D, Sendall, K, Sinclair, S, Smith, B, Smith, R, Soper, F, Sparrow, B, Standish, RJ, Staples, TL, Stephens, R, Szota, C, Taseski, G, Tasker, E, Thomas, F, Tissue, DT, Tjoelker, MG, Tng, DYP, de Tombeur, F, Tomlinson, K, Turner, NC, Veneklaas, EJ, Venn, S, Vesk, P, Vlasveld, C, Vorontsova, MS, Warren, CA, Warwick, N, Weerasinghe, LK, Wells, J, Westoby, M, White, M, Williams, NSG, Wills, J, Wilson, PG, Yates, C, Zanne, AE, Zemunik, G, and Ziemińska, K

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27. Tracking tree demography and forest dynamics at scale using remote sensing.

Author

Battison R, Prober SM, Zdunic K, Jackson TD, Fischer FJ, and Jucker T

Subjects
Biomass, Western Australia, Remote Sensing Technology, Trees growth & development, Trees physiology, Forests
Abstract

Capturing how tree growth and survival vary through space and time is critical to understanding the structure and dynamics of tree-dominated ecosystems. However, characterising demographic processes at scale is inherently challenging, as trees are slow-growing, long-lived and cover vast expanses of land. We used repeat airborne laser scanning data acquired across 25 km 2 of semi-arid, old-growth temperate woodland in Western Australia to track the height growth, crown expansion and mortality of 42 213 individual trees over 9 yr. We found that demographic rates are constrained by a combination of tree size, competition and topography. After initially investing in height growth, trees progressively shifted to crown expansion as they grew larger, while mortality risk decreased considerably with size. Across the landscape, both tree growth and survival increased with topographic wetness, resulting in vegetation patterns that are strongly spatially structured. Moreover, biomass gains from woody growth generally outpaced losses from mortality, suggesting these old-growth woodlands remain a net carbon sink in the absence of wildfires. Our study sheds new light on the processes that shape the dynamics and spatial structure of semi-arid woody ecosystems and provides a roadmap for using emerging remote sensing technologies to track tree demography at scale., (© 2024 The Author(s). New Phytologist © 2024 New Phytologist Foundation.)

Published
2024
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28. Author Correction: Widening global variability in grassland biomass since the 1980s.

Author

MacDougall AS, Esch E, Chen Q, Carroll O, Bonner C, Ohlert T, Siewert M, Sulik J, Schweiger AK, Borer ET, Naidu D, Bagchi S, Hautier Y, Wilfahrt P, Larson K, Olofsson J, Cleland E, Muthukrishnan R, O'Halloran L, Alberti J, Anderson TM, Arnillas CA, Bakker JD, Barrio IC, Biederman L, Boughton EH, Brudvig LA, Bruschetti M, Buckley Y, Bugalho MN, Cadotte MW, Caldeira MC, Catford JA, D'Antonio C, Davies K, Daleo P, Dickman CR, Donohue I, DuPre ME, Elgersma K, Eisenhauer N, Eskelinen A, Estrada C, Fay PA, Feng Y, Gruner DS, Hagenah N, Haider S, Harpole WS, Hersch-Green E, Jentsch A, Kirkman K, Knops JMH, Laanisto L, Lannes LS, Laungani R, Lkhagva A, Macek P, Martina JP, McCulley RL, Melbourne B, Mitchell R, Moore JL, Morgan JW, Muraina TO, Niu Y, Pärtel M, Peri PL, Power SA, Price JN, Prober SM, Ren Z, Risch AC, Smith NG, Sonnier G, Standish RJ, Stevens CJ, Tedder M, Tognetti P, Veen GFC, Virtanen R, Wardle GM, Waring E, Wolf AA, Yahdjian L, and Seabloom EW

Published
2024
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29. Widening global variability in grassland biomass since the 1980s.

Author

MacDougall AS, Esch E, Chen Q, Carroll O, Bonner C, Ohlert T, Siewert M, Sulik J, Schweiger AK, Borer ET, Naidu D, Bagchi S, Hautier Y, Wilfahrt P, Larson K, Olofsson J, Cleland E, Muthukrishnan R, O'Halloran L, Alberti J, Anderson TM, Arnillas CA, Bakker JD, Barrio IC, Biederman L, Boughton EH, Brudvig LA, Bruschetti M, Buckley Y, Bugalho MN, Cadotte MW, Caldeira MC, Catford JA, D'Antonio C, Davies K, Daleo P, Dickman CR, Donohue I, DuPre ME, Elgersma K, Eisenhauer N, Eskelinen A, Estrada C, Fay PA, Feng Y, Gruner DS, Hagenah N, Haider S, Harpole WS, Hersch-Green E, Jentsch A, Kirkman K, Knops JMH, Laanisto L, Lannes LS, Laungani R, Lkhagva A, Macek P, Martina JP, McCulley RL, Melbourne B, Mitchell R, Moore JL, Morgan JW, Muraina TO, Niu Y, Pärtel M, Peri PL, Power SA, Price JN, Prober SM, Ren Z, Risch AC, Smith NG, Sonnier G, Standish RJ, Stevens CJ, Tedder M, Tognetti P, Veen GFC, Virtanen R, Wardle GM, Waring E, Wolf AA, Yahdjian L, and Seabloom EW

Subjects
Climate Change, Seasons, Biodiversity, Grassland, Biomass
Abstract

Global change is associated with variable shifts in the annual production of aboveground plant biomass, suggesting localized sensitivities with unclear causal origins. Combining remotely sensed normalized difference vegetation index data since the 1980s with contemporary field data from 84 grasslands on 6 continents, we show a widening divergence in site-level biomass ranging from +51% to -34% globally. Biomass generally increased in warmer, wetter and species-rich sites with longer growing seasons and declined in species-poor arid areas. Phenological changes were widespread, revealing substantive transitions in grassland seasonal cycling. Grazing, nitrogen deposition and plant invasion were prevalent in some regions but did not predict overall trends. Grasslands are undergoing sizable changes in production, with implications for food security, biodiversity and carbon storage especially in arid regions where declines are accelerating., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2024
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30. An introduction to key ecological concepts, financial opportunities, and risks underpinning aspirations for nature positive.

Author

Luxton SJ, Smith GS, Williams KJ, Ferrier S, Bond AJ, and Prober SM

Abstract

Global biodiversity is in decline, and businesses and society are being required to urgently create new operating models to ameliorate the crisis. Among the strategies proposed to do this, implementing the concept of nature positive has captured worldwide attention. Critical to its success will be effective collaboration between ecologists and businesspeople, driven by a shared understanding of key nature positive terminology, concepts, and risks. To this end, we introduce three core aspects: the ecological concepts in the definition of nature positive (health, abundance, diversity, and resilience), a typology of financial instruments that may be applied to achieving nature positive, and an overview of risks to biodiversity and society. The pivotal findings include that ecological complexity and uncertainty belie the simplicity of the definition of nature positive and that managing risk requires embedding aspirations into existing and emerging biodiversity conservation and restoration science and policy. Although it is challenging, nature positive deserves pursuit., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Institute of Biological Sciences.)

Published
2024
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31. Balancing the books of nature by accounting for ecosystem condition following ecological restoration.

Author

Parkhurst T, Standish RJ, Prober SM, Kobryn H, and Vardon M

Subjects
Environmental Restoration and Remediation methods, Australia, Ecology, Conservation of Natural Resources methods, Ecosystem, Biodiversity
Abstract

Demand for ecological restoration of Earth's degraded ecosystems has increased significantly since the adoption of The Kunming-Montreal Global Biodiversity Framework in December 2022, with target 2 aiming to ensure that at least 30% of degraded ecosystems are under effective restoration by 2030. More recently, in December 2023, the Australian Parliament introduced the Nature Repair Act, which establishes a framework for the world's first legislated, national, voluntary biodiversity market. How can the effectiveness of these ambitious targets be measured? Natural Capital Accounting (NCA) provides a framework to measure changes in ecosystem condition that is applicable across ecosystems and potentially catalogue effects of restoration interventions to drive investment, improvement to practice, and ultimately, to better protect the Earth's ecosystems. However, the framework has not been tested in this context. In this progressive approach, we populated the leading global NCA framework with ecological data to quantify changes in ecosystem condition after restoration. In principle, NCA is fit for purpose, however, methodological refinements and ecological expertise are needed to unlock its full potential. These tweaks will facilitate adoption and standardisation of reporting as efforts ramp up to meet ambitious global restoration targets., (© 2024. The Author(s).)

Published
2024
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32. Spatial variation in avian bill size is associated with temperature extremes in a major radiation of Australian passerines.

Author

Subasinghe K, Symonds MRE, Prober SM, Bonnet T, Williams KJ, Ware C, and Gardner JL

Subjects
Animals, Temperature, Australia, Climate, Beak, Hot Temperature
Abstract

Morphology is integral to body temperature regulation. Recent advances in understanding of thermal physiology suggest a role of the avian bill in thermoregulation. To explore the adaptive significance of bill size for thermoregulation we characterized relationships between bill size and climate extremes. Most previous studies focused on climate means, ignoring frequencies of extremes, and do not reflect thermoregulatory costs experienced over shorter time scales. Using 79 species (9847 museum specimens), we explore how bill size variation is associated with temperature extremes in a large and diverse radiation of Australasian birds, Meliphagides, testing a series of predictions. Overall, across the continent, bill size variation was associated with both climate extremes and means and was most strongly associated with winter temperatures; associations at the level of climate zones differed from continent-wide associations and were complex, yet consistent with physiology and a thermoregulatory role for avian bills. Responses to high summer temperatures were nonlinear suggesting they may be difficult to detect in large-scale continental analyses using previous methodologies. We provide strong evidence that climate extremes have contributed to the evolution of bill morphology in relation to thermoregulation and show the importance of including extremes to understand fine-scale trait variation across space.

Published
2024
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33. Extreme drought impacts have been underestimated in grasslands and shrublands globally.

Author

Smith MD, Wilkins KD, Holdrege MC, Wilfahrt P, Collins SL, Knapp AK, Sala OE, Dukes JS, Phillips RP, Yahdjian L, Gherardi LA, Ohlert T, Beier C, Fraser LH, Jentsch A, Loik ME, Maestre FT, Power SA, Yu Q, Felton AJ, Munson SM, Luo Y, Abdoli H, Abedi M, Alados CL, Alberti J, Alon M, An H, Anacker B, Anderson M, Auge H, Bachle S, Bahalkeh K, Bahn M, Batbaatar A, Bauerle T, Beard KH, Behn K, Beil I, Biancari L, Blindow I, Bondaruk VF, Borer ET, Bork EW, Bruschetti CM, Byrne KM, Cahill JF Jr, Calvo DA, Carbognani M, Cardoni A, Carlyle CN, Castillo-Garcia M, Chang SX, Chieppa J, Cianciaruso MV, Cohen O, Cordeiro AL, Cusack DF, Dahlke S, Daleo P, D'Antonio CM, Dietterich LH, S Doherty T, Dubbert M, Ebeling A, Eisenhauer N, Fischer FM, Forte TGW, Gebauer T, Gozalo B, Greenville AC, Guidoni-Martins KG, Hannusch HJ, Vatsø Haugum S, Hautier Y, Hefting M, Henry HAL, Hoss D, Ingrisch J, Iribarne O, Isbell F, Johnson Y, Jordan S, Kelly EF, Kimmel K, Kreyling J, Kröel-Dulay G, Kröpfl A, Kübert A, Kulmatiski A, Lamb EG, Larsen KS, Larson J, Lawson J, Leder CV, Linstädter A, Liu J, Liu S, Lodge AG, Longo G, Loydi A, Luan J, Curtis Lubbe F, Macfarlane C, Mackie-Haas K, Malyshev AV, Maturano-Ruiz A, Merchant T, Metcalfe DB, Mori AS, Mudongo E, Newman GS, Nielsen UN, Nimmo D, Niu Y, Nobre P, O'Connor RC, Ogaya R, Oñatibia GR, Orbán I, Osborne B, Otfinowski R, Pärtel M, Penuelas J, Peri PL, Peter G, Petraglia A, Picon-Cochard C, Pillar VD, Piñeiro-Guerra JM, Ploughe LW, Plowes RM, Portales-Reyes C, Prober SM, Pueyo Y, Reed SC, Ritchie EG, Rodríguez DA, Rogers WE, Roscher C, Sánchez AM, Santos BA, Cecilia Scarfó M, Seabloom EW, Shi B, Souza L, Stampfli A, Standish RJ, Sternberg M, Sun W, Sünnemann M, Tedder M, Thorvaldsen P, Tian D, Tielbörger K, Valdecantos A, van den Brink L, Vandvik V, Vankoughnett MR, Guri Velle L, Wang C, Wang Y, Wardle GM, Werner C, Wei C, Wiehl G, Williams JL, Wolf AA, Zeiter M, Zhang F, Zhu J, Zong N, and Zuo X

Subjects
Grassland, Carbon Cycle, Climate Change, Receptor Protein-Tyrosine Kinases, Droughts, Ecosystem
Abstract

Climate change is increasing the frequency and severity of short-term (~1 y) drought events-the most common duration of drought-globally. Yet the impact of this intensification of drought on ecosystem functioning remains poorly resolved. This is due in part to the widely disparate approaches ecologists have employed to study drought, variation in the severity and duration of drought studied, and differences among ecosystems in vegetation, edaphic and climatic attributes that can mediate drought impacts. To overcome these problems and better identify the factors that modulate drought responses, we used a coordinated distributed experiment to quantify the impact of short-term drought on grassland and shrubland ecosystems. With a standardized approach, we imposed ~a single year of drought at 100 sites on six continents. Here we show that loss of a foundational ecosystem function-aboveground net primary production (ANPP)-was 60% greater at sites that experienced statistically extreme drought (1-in-100-y event) vs. those sites where drought was nominal (historically more common) in magnitude (35% vs. 21%, respectively). This reduction in a key carbon cycle process with a single year of extreme drought greatly exceeds previously reported losses for grasslands and shrublands. Our global experiment also revealed high variability in drought response but that relative reductions in ANPP were greater in drier ecosystems and those with fewer plant species. Overall, our results demonstrate with unprecedented rigor that the global impacts of projected increases in drought severity have been significantly underestimated and that drier and less diverse sites are likely to be most vulnerable to extreme drought., Competing Interests: Competing interests statement:The authors declare no competing interest.

Published
2024
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34. Globally consistent response of plant microbiome diversity across hosts and continents to soil nutrients and herbivores.

Author

Seabloom EW, Caldeira MC, Davies KF, Kinkel L, Knops JMH, Komatsu KJ, MacDougall AS, May G, Millican M, Moore JL, Perez LI, Porath-Krause AJ, Power SA, Prober SM, Risch AC, Stevens C, and Borer ET

Subjects
Biomass, Nutrients, Soil, Herbivory, Microbiota
Abstract

All multicellular organisms host a diverse microbiome composed of microbial pathogens, mutualists, and commensals, and changes in microbiome diversity or composition can alter host fitness and function. Nonetheless, we lack a general understanding of the drivers of microbiome diversity, in part because it is regulated by concurrent processes spanning scales from global to local. Global-scale environmental gradients can determine variation in microbiome diversity among sites, however an individual host's microbiome also may reflect its local micro-environment. We fill this knowledge gap by experimentally manipulating two potential mediators of plant microbiome diversity (soil nutrient supply and herbivore density) at 23 grassland sites spanning global-scale gradients in soil nutrients, climate, and plant biomass. Here we show that leaf-scale microbiome diversity in unmanipulated plots depended on the total microbiome diversity at each site, which was highest at sites with high soil nutrients and plant biomass. We also found that experimentally adding soil nutrients and excluding herbivores produced concordant results across sites, increasing microbiome diversity by increasing plant biomass, which created a shaded microclimate. This demonstration of consistent responses of microbiome diversity across a wide range of host species and environmental conditions suggests the possibility of a general, predictive understanding of microbiome diversity., (© 2023. The Author(s).)

Published
2023
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35. Linking leaf economic and hydraulic traits with early-age growth performance and survival of Eucalyptus pauciflora .

Author

Costa E Silva J, Potts BM, Wiehl G, and Prober SM

Abstract

Selection on plant functional traits may occur through their direct effects on fitness (or a fitness component), or may be mediated by attributes of plant performance which have a direct impact on fitness. Understanding this link is particularly challenging for long-lived organisms, such as forest trees, where lifetime fitness assessments are rarely achievable, and performance features and fitness components are usually quantified from early-life history stages. Accordingly, we studied a cohort of trees from multiple populations of Eucalyptus pauciflora grown in a common-garden field trial established at the hot and dry end of the species distribution on the island of Tasmania, Australia. We related the within-population variation in leaf economic (leaf thickness, leaf area and leaf density) and hydraulic (stomatal density, stomatal length and vein density) traits, measured from two-year-old plants, to two-year growth performance (height and stem diameter) and to a fitness component (seven-year survival). When performance-trait relationships were modelled for all traits simultaneously, statistical support for direct effects on growth performance was only observed for leaf thickness and leaf density. Performance-based estimators of directional selection indicated that individuals with reduced leaf thickness and increased leaf density were favoured. Survival-performance relationships were consistent with size-dependent mortality, with fitness-based selection gradients estimated for performance measures providing evidence for directional selection favouring individuals with faster growth. There was no statistical support for an effect associated with the fitness-based quadratic selection gradient estimated for growth performance. Conditional on a performance measure, fitness-based directional selection gradients estimated for the leaf traits did not provide statistical support for direct effects of the focal traits on tree survival. This suggested that, under the environmental conditions of the trial site and time period covered in the current study, early-stage selection on the studied leaf traits may be mediated by their effects on growth performance, which in turn has a positive direct influence on later-age survival. We discuss the potential mechanistic basis of the direct effects of the focal leaf traits on tree growth, and the relevance of a putative causal pathway of trait effects on fitness through mediation by growth performance in the studied hot and dry environment., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Costa e Silva, Potts, Wiehl and Prober.)

Published
2022
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36. A globally relevant change taxonomy and evidence-based change framework for land monitoring.

Author

Lucas RM, German S, Metternicht G, Schmidt RK, Owers CJ, Prober SM, Richards AE, Tetreault-Campbell S, Williams KJ, Mueller N, Tissott B, Chua SMT, Cowood A, Hills T, Gunawardana D, McIntyre A, Chognard S, Hurford C, Planque C, Punalekar S, Clewley D, Sonnenschein R, Murray NJ, Manakos I, Blonda P, Owers K, Roxburgh S, Kay H, Bunting P, and Horton C

Subjects
Environmental Monitoring, Humans, Conservation of Natural Resources, Ecosystem
Abstract

A globally relevant and standardized taxonomy and framework for consistently describing land cover change based on evidence is presented, which makes use of structured land cover taxonomies and is underpinned by the Driver-Pressure-State-Impact-Response (DPSIR) framework. The Global Change Taxonomy currently lists 246 classes based on the notation 'impact (pressure)', with this encompassing the consequence of observed change and associated reason(s), and uses scale-independent terms that factor in time. Evidence for different impacts is gathered through temporal comparison (e.g., days, decades apart) of land cover classes constructed and described from Environmental Descriptors (EDs; state indicators) with pre-defined measurement units (e.g., m, %) or categories (e.g., species type). Evidence for pressures, whether abiotic, biotic or human-influenced, is similarly accumulated, but EDs often differ from those used to determine impacts. Each impact and pressure term is defined separately, allowing flexible combination into 'impact (pressure)' categories, and all are listed in an openly accessible glossary to ensure consistent use and common understanding. The taxonomy and framework are globally relevant and can reference EDs quantified on the ground, retrieved/classified remotely (from ground-based, airborne or spaceborne sensors) or predicted through modelling. By providing capacity to more consistently describe change processes-including land degradation, desertification and ecosystem restoration-the overall framework addresses a wide and diverse range of local to international needs including those relevant to policy, socioeconomics and land management. Actions in response to impacts and pressures and monitoring towards targets are also supported to assist future planning, including impact mitigation actions., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2022
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37. Termite sensitivity to temperature affects global wood decay rates.

Author

Zanne AE, Flores-Moreno H, Powell JR, Cornwell WK, Dalling JW, Austin AT, Classen AT, Eggleton P, Okada KI, Parr CL, Adair EC, Adu-Bredu S, Alam MA, Alvarez-Garzón C, Apgaua D, Aragón R, Ardon M, Arndt SK, Ashton LA, Barber NA, Beauchêne J, Berg MP, Beringer J, Boer MM, Bonet JA, Bunney K, Burkhardt TJ, Carvalho D, Castillo-Figueroa D, Cernusak LA, Cheesman AW, Cirne-Silva TM, Cleverly JR, Cornelissen JHC, Curran TJ, D'Angioli AM, Dallstream C, Eisenhauer N, Evouna Ondo F, Fajardo A, Fernandez RD, Ferrer A, Fontes MAL, Galatowitsch ML, González G, Gottschall F, Grace PR, Granda E, Griffiths HM, Guerra Lara M, Hasegawa M, Hefting MM, Hinko-Najera N, Hutley LB, Jones J, Kahl A, Karan M, Keuskamp JA, Lardner T, Liddell M, Macfarlane C, Macinnis-Ng C, Mariano RF, Méndez MS, Meyer WS, Mori AS, Moura AS, Northwood M, Ogaya R, Oliveira RS, Orgiazzi A, Pardo J, Peguero G, Penuelas J, Perez LI, Posada JM, Prada CM, Přívětivý T, Prober SM, Prunier J, Quansah GW, Resco de Dios V, Richter R, Robertson MP, Rocha LF, Rúa MA, Sarmiento C, Silberstein RP, Silva MC, Siqueira FF, Stillwagon MG, Stol J, Taylor MK, Teste FP, Tng DYP, Tucker D, Türke M, Ulyshen MD, Valverde-Barrantes OJ, van den Berg E, van Logtestijn RSP, Veen GFC, Vogel JG, Wardlaw TJ, Wiehl G, Wirth C, Woods MJ, and Zalamea PC

Subjects
Animals, Carbon Cycle, Temperature, Tropical Climate, Forests, Global Warming, Isoptera, Wood microbiology
Abstract

Deadwood is a large global carbon store with its store size partially determined by biotic decay. Microbial wood decay rates are known to respond to changing temperature and precipitation. Termites are also important decomposers in the tropics but are less well studied. An understanding of their climate sensitivities is needed to estimate climate change effects on wood carbon pools. Using data from 133 sites spanning six continents, we found that termite wood discovery and consumption were highly sensitive to temperature (with decay increasing >6.8 times per 10°C increase in temperature)-even more so than microbes. Termite decay effects were greatest in tropical seasonal forests, tropical savannas, and subtropical deserts. With tropicalization (i.e., warming shifts to tropical climates), termite wood decay will likely increase as termites access more of Earth's surface.

Published
2022
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38. Evolutionary history of grazing and resources determine herbivore exclusion effects on plant diversity.

Author

Price JN, Sitters J, Ohlert T, Tognetti PM, Brown CS, Seabloom EW, Borer ET, Prober SM, Bakker ES, MacDougall AS, Yahdjian L, Gruner DS, Olde Venterink H, Barrio IC, Graff P, Bagchi S, Arnillas CA, Bakker JD, Blumenthal DM, Boughton EH, Brudvig LA, Bugalho MN, Cadotte MW, Caldeira MC, Dickman CR, Donohue I, Grégory S, Hautier Y, Jónsdóttir IS, Lannes LS, McCulley RL, Moore JL, Power SA, Risch AC, Schütz M, Standish R, Stevens CJ, Veen GF, Virtanen R, and Wardle GM

Subjects
Animals, Mammals, Plants, Soil, Biodiversity, Herbivory
Abstract

Ecological models predict that the effects of mammalian herbivore exclusion on plant diversity depend on resource availability and plant exposure to ungulate grazing over evolutionary time. Using an experiment replicated in 57 grasslands on six continents, with contrasting evolutionary history of grazing, we tested how resources (mean annual precipitation and soil nutrients) determine herbivore exclusion effects on plant diversity, richness and evenness. Here we show that at sites with a long history of ungulate grazing, herbivore exclusion reduced plant diversity by reducing both richness and evenness and the responses of richness and diversity to herbivore exclusion decreased with mean annual precipitation. At sites with a short history of grazing, the effects of herbivore exclusion were not related to precipitation but differed for native and exotic plant richness. Thus, plant species' evolutionary history of grazing continues to shape the response of the world's grasslands to changing mammalian herbivory., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2022
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39. Leaf Economic and Hydraulic Traits Signal Disparate Climate Adaptation Patterns in Two Co-Occurring Woodland Eucalypts.

Author

Prober SM, Potts BM, Harrison PA, Wiehl G, Bailey TG, Costa E Silva J, Price MR, Speijers J, Steane DA, and Vaillancourt RE

Abstract

With climate change impacting trees worldwide, enhancing adaptation capacity has become an important goal of provenance translocation strategies for forestry, ecological renovation, and biodiversity conservation. Given that not every species can be studied in detail, it is important to understand the extent to which climate adaptation patterns can be generalised across species, in terms of the selective agents and traits involved. We here compare patterns of genetic-based population (co)variation in leaf economic and hydraulic traits, climate-trait associations, and genomic differentiation of two widespread tree species ( Eucalyptus pauciflora and E. ovata ). We studied 2-year-old trees growing in a common-garden trial established with progeny from populations of both species, pair-sampled from 22 localities across their overlapping native distribution in Tasmania, Australia. Despite originating from the same climatic gradients, the species differed in their levels of population variance and trait covariance, patterns of population variation within each species were uncorrelated, and the species had different climate-trait associations. Further, the pattern of genomic differentiation among populations was uncorrelated between species, and population differentiation in leaf traits was mostly uncorrelated with genomic differentiation. We discuss hypotheses to explain this decoupling of patterns and propose that the choice of seed provenances for climate-based plantings needs to account for multiple dimensions of climate change unless species-specific information is available.

Published
2022
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40. Abiotic and biotic responses to woody debris additions in restored old fields in a multi-site Before-After-Control-Impact experiment.

Author

Parkhurst T, Prober SM, Farrell M, and Standish RJ

Abstract

Ecological restoration of former agricultural land can improve soil conditions, recover native vegetation, and provide fauna habitat. However, restoration benefits are often associated with time lags, as many attributes, such as leaf litter and coarse woody debris, need time to accumulate. Here, we experimentally tested whether adding mulch and logs to restoration sites in semi-arid Western Australia can accelerate restoration benefits. All sites had been cropped and then planted with native trees and shrubs (i.e., Eucalyptus , Melaleuca , and Acacia spp.) 10 years prior to our experiment, to re-establish the original temperate eucalypt woodland vegetation community. We used a Multi-site Before-After-Control-Impact (MBACI) design to test the effects on 30 abiotic and biotic response variables over a period of 2 years. Of the 30 response variables, a significant effect was found for just four variables: volumetric water content, decomposition, native herbaceous species cover and species richness of disturbance specialist ants. Mulch addition had a positive effect on soil moisture when compared to controls but suppressed growth of native (but not exotic) herbaceous plants. On plots with log additions, decomposition rates decreased, and species richness of disturbance specialist ants increased. However, we found no effect on total species richness and abundance of other ant species groups. The benefit of mulch to soil moisture was offset by its disbenefit to native herbs in our study. Given time, logs may also provide habitat for ant species that prefer concealed habitats. Indeed, benefits to other soil biophysical properties, vegetation, and ant fauna may require longer time frames to be detected. Further research is needed to determine whether the type, quantity, and context of mulch and log additions may improve their utility for old field restoration and whether effects on native herbs are correlated with idiosyncratic climatic conditions., Competing Interests: The authors declare no conflict of interest., (© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)

Published
2022
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41. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network.

Author

Beringer J, Moore CE, Cleverly J, Campbell DI, Cleugh H, De Kauwe MG, Kirschbaum MUF, Griebel A, Grover S, Huete A, Hutley LB, Laubach J, Van Niel T, Arndt SK, Bennett AC, Cernusak LA, Eamus D, Ewenz CM, Goodrich JP, Jiang M, Hinko-Najera N, Isaac P, Hobeichi S, Knauer J, Koerber GR, Liddell M, Ma X, Macfarlane C, McHugh ID, Medlyn BE, Meyer WS, Norton AJ, Owens J, Pitman A, Pendall E, Prober SM, Ray RL, Restrepo-Coupe N, Rifai SW, Rowlings D, Schipper L, Silberstein RP, Teckentrup L, Thompson SE, Ukkola AM, Wall A, Wang YP, Wardlaw TJ, and Woodgate W

Subjects
Australia, Carbon Cycle, Climate Change, Carbon Dioxide, Ecosystem
Abstract

In 2020, the Australian and New Zealand flux research and monitoring network, OzFlux, celebrated its 20 th anniversary by reflecting on the lessons learned through two decades of ecosystem studies on global change biology. OzFlux is a network not only for ecosystem researchers, but also for those 'next users' of the knowledge, information and data that such networks provide. Here, we focus on eight lessons across topics of climate change and variability, disturbance and resilience, drought and heat stress and synergies with remote sensing and modelling. In distilling the key lessons learned, we also identify where further research is needed to fill knowledge gaps and improve the utility and relevance of the outputs from OzFlux. Extreme climate variability across Australia and New Zealand (droughts and flooding rains) provides a natural laboratory for a global understanding of ecosystems in this time of accelerating climate change. As evidence of worsening global fire risk emerges, the natural ability of these ecosystems to recover from disturbances, such as fire and cyclones, provides lessons on adaptation and resilience to disturbance. Drought and heatwaves are common occurrences across large parts of the region and can tip an ecosystem's carbon budget from a net CO 2 sink to a net CO 2 source. Despite such responses to stress, ecosystems at OzFlux sites show their resilience to climate variability by rapidly pivoting back to a strong carbon sink upon the return of favourable conditions. Located in under-represented areas, OzFlux data have the potential for reducing uncertainties in global remote sensing products, and these data provide several opportunities to develop new theories and improve our ecosystem models. The accumulated impacts of these lessons over the last 20 years highlights the value of long-term flux observations for natural and managed systems. A future vision for OzFlux includes ongoing and newly developed synergies with ecophysiologists, ecologists, geologists, remote sensors and modellers., (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Published
2022
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42. P is for persistence: Soil phosphorus remains elevated for more than a decade after old field restoration.

Author

Parkhurst T, Standish RJ, and Prober SM

Subjects
Ecosystem, Forests, Trees, Phosphorus, Soil chemistry
Abstract

Understanding constraints to ecological restoration on former agricultural land has become increasingly important due to agricultural land degradation in the developed world, and growing evidence for enduring agricultural legacies that limit native species recovery. In particular, the removal of native plant biomass and subsequent disturbance of soil properties through farming activities can alter soil ecosystem processes. Planting of native plant species is a common approach to restoring native vegetation on agricultural land and is assumed to benefit soil ecosystem processes, but the degree to which altered soil chemical processes recover is poorly documented. We investigated recovery of soil chemical properties after restoration in semiarid Western Australia, hypothesizing that elevated nutrient concentrations would gradually decline post planting, but available phosphorus (P) concentrations would remain higher than reference conditions. We used a space-for-time substitution approach, comparing 10 planted old field plots with matched fallow cropland and reference woodlands. Sampling on planted old fields and reference woodland plots was stratified into open patches and under tree canopy to account for consistent differences between these areas. The most prominent legacy of cropping was significantly and substantially higher concentrations of soil available P in fallow croplands and restored old fields compared with reference woodlands. Soil mineral nitrogen (N) concentrations were elevated in fallow croplands compared to open patches in reference woodlands (ammonium and nitrate) and under the tree canopy (ammonium). However, in restored old fields, mineral N concentrations were similar to woodland sites, providing evidence for amelioration over time. No significant differences in nutrient concentrations under tree canopies compared with open patches had developed in the planted old fields, despite a distinction between open patches and he under ttree canopy in reference woodlands for total N. We conclude that soil P legacies in old fields may inhibit the recolonization of native species that are sensitive to, or uncompetitive at, elevated P concentrations. To achieve full recovery, further research is required to test restoration practices aimed at reducing soil P concentrations to facilitate native plant establishment and persistence., (© 2022 The Ecological Society of America.)

Published
2022
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43. AusTraits, a curated plant trait database for the Australian flora.

Author

Falster D, Gallagher R, Wenk EH, Wright IJ, Indiarto D, Andrew SC, Baxter C, Lawson J, Allen S, Fuchs A, Monro A, Kar F, Adams MA, Ahrens CW, Alfonzetti M, Angevin T, Apgaua DMG, Arndt S, Atkin OK, Atkinson J, Auld T, Baker A, von Balthazar M, Bean A, Blackman CJ, Bloomfield K, Bowman DMJS, Bragg J, Brodribb TJ, Buckton G, Burrows G, Caldwell E, Camac J, Carpenter R, Catford JA, Cawthray GR, Cernusak LA, Chandler G, Chapman AR, Cheal D, Cheesman AW, Chen SC, Choat B, Clinton B, Clode PL, Coleman H, Cornwell WK, Cosgrove M, Crisp M, Cross E, Crous KY, Cunningham S, Curran T, Curtis E, Daws MI, DeGabriel JL, Denton MD, Dong N, Du P, Duan H, Duncan DH, Duncan RP, Duretto M, Dwyer JM, Edwards C, Esperon-Rodriguez M, Evans JR, Everingham SE, Farrell C, Firn J, Fonseca CR, French BJ, Frood D, Funk JL, Geange SR, Ghannoum O, Gleason SM, Gosper CR, Gray E, Groom PK, Grootemaat S, Gross C, Guerin G, Guja L, Hahs AK, Harrison MT, Hayes PE, Henery M, Hochuli D, Howell J, Huang G, Hughes L, Huisman J, Ilic J, Jagdish A, Jin D, Jordan G, Jurado E, Kanowski J, Kasel S, Kellermann J, Kenny B, Kohout M, Kooyman RM, Kotowska MM, Lai HR, Laliberté E, Lambers H, Lamont BB, Lanfear R, van Langevelde F, Laughlin DC, Laugier-Kitchener BA, Laurance S, Lehmann CER, Leigh A, Leishman MR, Lenz T, Lepschi B, Lewis JD, Lim F, Liu U, Lord J, Lusk CH, Macinnis-Ng C, McPherson H, Magallón S, Manea A, López-Martinez A, Mayfield M, McCarthy JK, Meers T, van der Merwe M, Metcalfe DJ, Milberg P, Mokany K, Moles AT, Moore BD, Moore N, Morgan JW, Morris W, Muir A, Munroe S, Nicholson Á, Nicolle D, Nicotra AB, Niinemets Ü, North T, O'Reilly-Nugent A, O'Sullivan OS, Oberle B, Onoda Y, Ooi MKJ, Osborne CP, Paczkowska G, Pekin B, Guilherme Pereira C, Pickering C, Pickup M, Pollock LJ, Poot P, Powell JR, Power SA, Prentice IC, Prior L, Prober SM, Read J, Reynolds V, Richards AE, Richardson B, Roderick ML, Rosell JA, Rossetto M, Rye B, Rymer PD, Sams MA, Sanson G, Sauquet H, Schmidt S, Schönenberger J, Schulze ED, Sendall K, Sinclair S, Smith B, Smith R, Soper F, Sparrow B, Standish RJ, Staples TL, Stephens R, Szota C, Taseski G, Tasker E, Thomas F, Tissue DT, Tjoelker MG, Tng DYP, de Tombeur F, Tomlinson K, Turner NC, Veneklaas EJ, Venn S, Vesk P, Vlasveld C, Vorontsova MS, Warren CA, Warwick N, Weerasinghe LK, Wells J, Westoby M, White M, Williams NSG, Wills J, Wilson PG, Yates C, Zanne AE, Zemunik G, and Ziemińska K

Subjects
Australia, Plant Physiological Phenomena, Databases, Factual, Phenotype, Plants
Abstract

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge., (© 2021. The Author(s).)

Published
2021
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44. Negative effects of nitrogen override positive effects of phosphorus on grassland legumes worldwide.

Author

Tognetti PM, Prober SM, Báez S, Chaneton EJ, Firn J, Risch AC, Schuetz M, Simonsen AK, Yahdjian L, Borer ET, Seabloom EW, Arnillas CA, Bakker JD, Brown CS, Cadotte MW, Caldeira MC, Daleo P, Dwyer JM, Fay PA, Gherardi LA, Hagenah N, Hautier Y, Komatsu KJ, McCulley RL, Price JN, Standish RJ, Stevens CJ, Wragg PD, and Sankaran M

Subjects
Biodiversity, Biomass, Fabaceae drug effects, Probability, Fabaceae physiology, Grassland, Internationality, Nitrogen pharmacology, Phosphorus pharmacology
Abstract

Anthropogenic nutrient enrichment is driving global biodiversity decline and modifying ecosystem functions. Theory suggests that plant functional types that fix atmospheric nitrogen have a competitive advantage in nitrogen-poor soils, but lose this advantage with increasing nitrogen supply. By contrast, the addition of phosphorus, potassium, and other nutrients may benefit such species in low-nutrient environments by enhancing their nitrogen-fixing capacity. We present a global-scale experiment confirming these predictions for nitrogen-fixing legumes (Fabaceae) across 45 grasslands on six continents. Nitrogen addition reduced legume cover, richness, and biomass, particularly in nitrogen-poor soils, while cover of non-nitrogen-fixing plants increased. The addition of phosphorous, potassium, and other nutrients enhanced legume abundance, but did not mitigate the negative effects of nitrogen addition. Increasing nitrogen supply thus has the potential to decrease the diversity and abundance of grassland legumes worldwide regardless of the availability of other nutrients, with consequences for biodiversity, food webs, ecosystem resilience, and genetic improvement of protein-rich agricultural plant species., Competing Interests: The authors declare no competing interest.

Published
2021
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45. Combating ecosystem collapse from the tropics to the Antarctic.

Author

Bergstrom DM, Wienecke BC, van den Hoff J, Hughes L, Lindenmayer DB, Ainsworth TD, Baker CM, Bland L, Bowman DMJS, Brooks ST, Canadell JG, Constable AJ, Dafforn KA, Depledge MH, Dickson CR, Duke NC, Helmstedt KJ, Holz A, Johnson CR, McGeoch MA, Melbourne-Thomas J, Morgain R, Nicholson E, Prober SM, Raymond B, Ritchie EG, Robinson SA, Ruthrof KX, Setterfield SA, Sgrò CM, Stark JS, Travers T, Trebilco R, Ward DFL, Wardle GM, Williams KJ, Zylstra PJ, and Shaw JD

Subjects
Antarctic Regions, Biodiversity, Climate Change, Humans, Coral Reefs, Ecosystem
Abstract

Globally, collapse of ecosystems-potentially irreversible change to ecosystem structure, composition and function-imperils biodiversity, human health and well-being. We examine the current state and recent trajectories of 19 ecosystems, spanning 58° of latitude across 7.7 M km 2 , from Australia's coral reefs to terrestrial Antarctica. Pressures from global climate change and regional human impacts, occurring as chronic 'presses' and/or acute 'pulses', drive ecosystem collapse. Ecosystem responses to 5-17 pressures were categorised as four collapse profiles-abrupt, smooth, stepped and fluctuating. The manifestation of widespread ecosystem collapse is a stark warning of the necessity to take action. We present a three-step assessment and management framework (3As Pathway Awareness, Anticipation and Action) to aid strategic and effective mitigation to alleviate further degradation to help secure our future., (© 2021 John Wiley & Sons Ltd.)

Published
2021
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46. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author

Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond JM, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin JM, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival JM, Papuga SA, Parmentier FJ, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen JP, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, and Papale D

Published
2021
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47. Increasing effects of chronic nutrient enrichment on plant diversity loss and ecosystem productivity over time.

Author

Seabloom EW, Adler PB, Alberti J, Biederman L, Buckley YM, Cadotte MW, Collins SL, Dee L, Fay PA, Firn J, Hagenah N, Harpole WS, Hautier Y, Hector A, Hobbie SE, Isbell F, Knops JMH, Komatsu KJ, Laungani R, MacDougall A, McCulley RL, Moore JL, Morgan JW, Ohlert T, Prober SM, Risch AC, Schuetz M, Stevens CJ, and Borer ET

Subjects
Biomass, Grassland, Nitrogen analysis, Nutrients, Soil, Biodiversity, Ecosystem
Abstract

Human activities are enriching many of Earth's ecosystems with biologically limiting mineral nutrients such as nitrogen (N) and phosphorus (P). In grasslands, this enrichment generally reduces plant diversity and increases productivity. The widely demonstrated positive effect of diversity on productivity suggests a potential negative feedback, whereby nutrient-induced declines in diversity reduce the initial gains in productivity arising from nutrient enrichment. In addition, plant productivity and diversity can be inhibited by accumulations of dead biomass, which may be altered by nutrient enrichment. Over longer time frames, nutrient addition may increase soil fertility by increasing soil organic matter and nutrient pools. We examined the effects of 5-11 yr of nutrient addition at 47 grasslands in 12 countries. Nutrient enrichment increased aboveground live biomass and reduced plant diversity at nearly all sites, and these effects became stronger over time. We did not find evidence that nutrient-induced losses of diversity reduced the positive effects of nutrients on biomass; however, nutrient effects on live biomass increased more slowly at sites where litter was also increasing, regardless of plant diversity. This work suggests that short-term experiments may underestimate the long-term nutrient enrichment effects on global grassland ecosystems., (© 2020 by the Ecological Society of America.)

Published
2021
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48. Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties.

Author

Risch AC, Zimmermann S, Moser B, Schütz M, Hagedorn F, Firn J, Fay PA, Adler PB, Biederman LA, Blair JM, Borer ET, Broadbent AAD, Brown CS, Cadotte MW, Caldeira MC, Davies KF, di Virgilio A, Eisenhauer N, Eskelinen A, Knops JMH, MacDougall AS, McCulley RL, Melbourne BA, Moore JL, Power SA, Prober SM, Seabloom EW, Siebert J, Silveira ML, Speziale KL, Stevens CJ, Tognetti PM, Virtanen R, Yahdjian L, and Ochoa-Hueso R

Subjects
Animals, Ecosystem, Fertilization, Grassland, Herbivory, Humans, Nitrogen analysis, Soil
Abstract

Soil nitrogen (N) availability is critical for grassland functioning. However, human activities have increased the supply of biologically limiting nutrients, and changed the density and identity of mammalian herbivores. These anthropogenic changes may alter net soil N mineralization (soil net N min ), that is, the net balance between N mineralization and immobilization, which could severely impact grassland structure and functioning. Yet, to date, little is known about how fertilization and herbivore removal individually, or jointly, affect soil net N min across a wide range of grasslands that vary in soil and climatic properties. Here we collected data from 22 grasslands on five continents, all part of a globally replicated experiment, to assess how fertilization and herbivore removal affected potential (laboratory-based) and realized (field-based) soil net N min . Herbivore removal in the absence of fertilization did not alter potential and realized soil net N min . However, fertilization alone and in combination with herbivore removal consistently increased potential soil net N min. Realized soil net N min , in contrast, significantly decreased in fertilized plots where herbivores were removed. Treatment effects on potential and realized soil net N min were contingent on site-specific soil and climatic properties. Fertilization effects on potential soil net N min were larger at sites with higher mean annual precipitation (MAP) and temperature of the wettest quarter (T.q.wet). Reciprocally, realized soil net N min declined most strongly with fertilization and herbivore removal at sites with lower MAP and higher T.q.wet. In summary, our findings show that anthropogenic nutrient enrichment, herbivore exclusion and alterations in future climatic conditions can negatively impact soil net N min across global grasslands under realistic field conditions. This is an important context-dependent knowledge for grassland management worldwide., (© 2020 John Wiley & Sons Ltd.)

Published
2020
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49. Microbial processing of plant remains is co-limited by multiple nutrients in global grasslands.

Author

Ochoa-Hueso R, Borer ET, Seabloom EW, Hobbie SE, Risch AC, Collins SL, Alberti J, Bahamonde HA, Brown CS, Caldeira MC, Daleo P, Dickman CR, Ebeling A, Eisenhauer N, Esch EH, Eskelinen A, Fernández V, Güsewell S, Gutierrez-Larruga B, Hofmockel K, Laungani R, Lind E, López A, McCulley RL, Moore JL, Peri PL, Power SA, Price JN, Prober SM, Roscher C, Sarneel JM, Schütz M, Siebert J, Standish RJ, Velasco Ayuso S, Virtanen R, Wardle GM, Wiehl G, Yahdjian L, and Zamin T

Subjects
Carbon, Nitrogen analysis, Nutrients, Soil, Ecosystem, Grassland
Abstract

Microbial processing of aggregate-unprotected organic matter inputs is key for soil fertility, long-term ecosystem carbon and nutrient sequestration and sustainable agriculture. We investigated the effects of adding multiple nutrients (nitrogen, phosphorus and potassium plus nine essential macro- and micro-nutrients) on decomposition and biochemical transformation of standard plant materials buried in 21 grasslands from four continents. Addition of multiple nutrients weakly but consistently increased decomposition and biochemical transformation of plant remains during the peak-season, concurrent with changes in microbial exoenzymatic activity. Higher mean annual precipitation and lower mean annual temperature were the main climatic drivers of higher decomposition rates, while biochemical transformation of plant remains was negatively related to temperature of the wettest quarter. Nutrients enhanced decomposition most at cool, high rainfall sites, indicating that in a warmer and drier future fertilized grassland soils will have an even more limited potential for microbial processing of plant remains., (© 2020 John Wiley & Sons Ltd.)

Published
2020
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50. Author Correction: Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs.

Author

Firn J, McGree JM, Harvey E, Flores-Moreno H, Schütz M, Buckley YM, Borer ET, Seabloom EW, La Pierre KJ, MacDougall AM, Prober SM, Stevens CJ, Sullivan LL, Porter E, Ladouceur E, Allen C, Moromizato KH, Morgan JW, Harpole WS, Hautier Y, Eisenhauer N, Wright JP, Adler PB, Arnillas CA, Bakker JD, Biederman L, Broadbent AAD, Brown CS, Bugalho MN, Caldeira MC, Cleland EE, Ebeling A, Fay PA, Hagenah N, Kleinhesselink AR, Mitchell R, Moore JL, Nogueira C, Peri PL, Roscher C, Smith MD, Wragg PD, and Risch AC

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020
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