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528 results on '"Hutley, Lindsay B."'

1. Tallo: A global tree allometry and crown architecture database

Author

Jucker, Tommaso, Fischer, Fabian Jörg, Chave, Jérôme, Coomes, David A, Caspersen, John, Ali, Arshad, Panzou, Grace Jopaul Loubota, Feldpausch, Ted R, Falster, Daniel, Usoltsev, Vladimir A, Adu‐Bredu, Stephen, Alves, Luciana F, Aminpour, Mohammad, Angoboy, Ilondea B, Anten, Niels PR, Antin, Cécile, Askari, Yousef, Muñoz, Rodrigo, Ayyappan, Narayanan, Balvanera, Patricia, Banin, Lindsay, Barbier, Nicolas, Battles, John J, Beeckman, Hans, Bocko, Yannick E, Bond‐Lamberty, Ben, Bongers, Frans, Bowers, Samuel, Brade, Thomas, Breugel, Michiel, Chantrain, Arthur, Chaudhary, Rajeev, Dai, Jingyu, Dalponte, Michele, Dimobe, Kangbéni, Domec, Jean‐Christophe, Doucet, Jean‐Louis, Duursma, Remko A, Enríquez, Moisés, Ewijk, Karin Y, Farfán‐Rios, William, Fayolle, Adeline, Forni, Eric, Forrester, David I, Gilani, Hammad, Godlee, John L, Gourlet‐Fleury, Sylvie, Haeni, Matthias, Hall, Jefferson S, He, Jie‐Kun, Hemp, Andreas, Hernández‐Stefanoni, José L, Higgins, Steven I, Holdaway, Robert J, Hussain, Kiramat, Hutley, Lindsay B, Ichie, Tomoaki, Iida, Yoshiko, Jiang, Hai‐sheng, Joshi, Puspa Raj, Kaboli, Hasan, Larsary, Maryam Kazempour, Kenzo, Tanaka, Kloeppel, Brian D, Kohyama, Takashi, Kunwar, Suwash, Kuyah, Shem, Kvasnica, Jakub, Lin, Siliang, Lines, Emily R, Liu, Hongyan, Lorimer, Craig, Loumeto, Jean‐Joël, Malhi, Yadvinder, Marshall, Peter L, Mattsson, Eskil, Matula, Radim, Meave, Jorge A, Mensah, Sylvanus, Mi, Xiangcheng, Momo, Stéphane, Moncrieff, Glenn R, Mora, Francisco, Nissanka, Sarath P, O'Hara, Kevin L, Pearce, Steven, Pelissier, Raphaël, Peri, Pablo L, Ploton, Pierre, Poorter, Lourens, Pour, Mohsen Javanmiri, Pourbabaei, Hassan, Dupuy‐Rada, Juan Manuel, Ribeiro, Sabina C, Ryan, Casey, Sanaei, Anvar, Sanger, Jennifer, Schlund, Michael, Sellan, Giacomo, and Shenkin, Alexander

Subjects
Life on Land, Biomass, Carbon, Carbon Cycle, Ecosystem, Forests, Trees, allometric scaling, crown radius, forest biomass stocks, forest ecology, remote sensing, stem diameter, tree height, Environmental Sciences, Biological Sciences, Ecology
Abstract

Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research-from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology-from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle.

Published
2022

2. Widespread retreat of coastal habitat is likely at warming levels above 1.5 °C

Author

Saintilan, Neil, Horton, Benjamin, Törnqvist, Torbjörn E., Ashe, Erica L., Khan, Nicole S., Schuerch, Mark, Perry, Chris, Kopp, Robert E., Garner, Gregory G., Murray, Nicholas, Rogers, Kerrylee, Albert, Simon, Kelleway, Jeffrey, Shaw, Timothy A., Woodroffe, Colin D., Lovelock, Catherine E., Goddard, Madeline M., Hutley, Lindsay B., Kovalenko, Katya, Feher, Laura, and Guntenspergen, Glenn

Published
2023
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7. Processes and Factors Driving Change in Mangrove Forests: An Evaluation Based on the Mass Dieback Event in Australia’s Gulf of Carpentaria

Author

Duke, Norman C., Hutley, Lindsay B., Mackenzie, Jock R., Burrows, Damien, Canadell, Josep G., Series Editor, Díaz, Sandra, Series Editor, Heldmaier, Gerhard, Series Editor, Jackson, Robert B., Series Editor, Levia, Delphis F., Series Editor, Schulze, Ernst-Detlef, Series Editor, Sommer, Ulrich, Series Editor, and Wardle, David A., Series Editor

Published
2021
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10. Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand

Author

Cleverly, James, Vote, Camilla, Isaac, Peter, Ewenz, Cacilia, Harahap, Mahrita, Beringer, Jason, Campbell, David I., Daly, Edoardo, Eamus, Derek, He, Liang, Hunt, John, Grace, Peter, Hutley, Lindsay B., Laubach, Johannes, McCaskill, Malcolm, Rowlings, David, Rutledge Jonker, Susanna, Schipper, Louis A., Schroder, Ivan, Teodosio, Bertrand, Yu, Qiang, Ward, Phil R., Walker, Jeffrey P., Webb, John A., and Grover, Samantha P.P.

Published
2020
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11. Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography

Author

Moore, Caitlin E, Brown, Tim, Keenan, Trevor F, Duursma, Remko A, van Dijk, Albert IJM, Beringer, Jason, Culvenor, Darius, Evans, Bradley, Huete, Alfredo, Hutley, Lindsay B, Maier, Stefan, Restrepo-Coupe, Natalia, Sonnentag, Oliver, Specht, Alison, Taylor, Jeffrey R, van Gorsel, Eva, and Liddell, Michael J

Subjects
Climate Change Impacts and Adaptation, Environmental Sciences, Earth Sciences, Biological Sciences, Meteorology & Atmospheric Sciences, Ecology, Physical geography and environmental geoscience, Environmental management
Abstract

Phenology is the study of periodic biological occurrences and can provide important insights into the influence of climatic variability and change on ecosystems. Understanding Australia's vegetation phenology is a challenge due to its diverse range of ecosystems, from savannas and tropical rainforests to temperate eucalypt woodlands, semiarid scrublands, and alpine grasslands. These ecosystems exhibit marked differences in seasonal patterns of canopy development and plant life-cycle events, much of which deviates from the predictable seasonal phenological pulse of temperate deciduous and boreal biomes. Many Australian ecosystems are subject to irregular events (i.e. drought, flooding, cyclones, and fire) that can alter ecosystem composition, structure, and functioning just as much as seasonal change. We show how satellite remote sensing and ground-based digital repeat photography (i.e. phenocams) can be used to improve understanding of phenology in Australian ecosystems. First, we examine temporal variation in phenology on the continental scale using the enhanced vegetation index (EVI), calculated from MODerate resolution Imaging Spectroradiometer (MODIS) data. Spatial gradients are revealed, ranging from regions with pronounced seasonality in canopy development (i.e. tropical savannas) to regions where seasonal variation is minimal (i.e. tropical rainforests) or high but irregular (i.e. arid ecosystems). Next, we use time series colour information extracted from phenocam imagery to illustrate a range of phenological signals in four contrasting Australian ecosystems. These include greening and senescing events in tropical savannas and temperate eucalypt understorey, as well as strong seasonal dynamics of individual trees in a seemingly static evergreen rainforest. We also demonstrate how phenology links with ecosystem gross primary productivity (from eddy covariance) and discuss why these processes are linked in some ecosystems but not others. We conclude that phenocams have the potential to greatly improve the current understanding of Australian ecosystems. To facilitate the sharing of this information, we have formed the Australian Phenocam Network (http://phenocam.org.au/).

Published
2016

12. 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, Eva, Wolf, Sebastian, Cleverly, James, Isaac, Peter, Haverd, Vanessa, Ewenz, Cäcilia, Arndt, Stefan, Beringer, Jason, de Dios, Víctor Resco, Evans, Bradley J, Griebel, Anne, Hutley, Lindsay B, Keenan, Trevor, Kljun, Natascha, Macfarlane, Craig, Meyer, Wayne S, McHugh, Ian, Pendall, Elise, Prober, Suzanne M, and Silberstein, Richard

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Environmental Sciences, Life on Land, Climate Action, Earth Sciences, Meteorology & Atmospheric Sciences, Ecology, Physical geography and environmental geoscience, Environmental management
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

20. Cavitron extraction of xylem water suggests cryogenic extraction biases vary across species but are independent of tree water stress.

Author

Duvert, Clément, Barbeta, Adrià, Hutley, Lindsay B., Rodriguez, Leidy, Irvine, Dylan J., and Taylor, Andrew R.

Subjects
XYLEM, ISOTOPIC signatures, ISOTOPIC analysis, WATER levels, TROPICAL conditions
Abstract

Cryogenic vacuum distillation (CVD) is a widely used technique for extracting plant water from stems for isotopic analysis, but concerns about potential isotopic biases have emerged. Here, we leverage the Cavitron centrifugation technique to extract xylem water and compare its isotopic signature to that of CVD‐extracted bulk stem water as well as source water. Conducted under field conditions in tropical northern Australia, our study spans seven tree species naturally experiencing a range of water stress levels. Our findings reveal a significant deuterium bias in CVD‐extracted bulk stem water when compared to xylem water (median bias −14.9‰), whereas xylem water closely aligned with source water (median offset −1.9‰). We find substantial variations in deuterium bias among the seven tree species (bias ranging from −19.3‰ to −9.1‰), but intriguingly, CVD‐induced biases were unrelated to environmental factors such as relative stem water content and predawn leaf water potential. These results imply that inter‐specific differences may be driven by anatomical traits rather than tree hydraulic functioning. Additionally, our data highlight the potential to use a site‐specific deuterium offset, based on the isotopic signature of local source water, for correcting CVD‐induced biases. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Seasonal Wetlands Make a Relatively Limited Contribution to the Dissolved Carbon Pool of a Lowland Headwater Tropical Stream.

Author

Solano, Vanessa, Duvert, Clément, Hutley, Lindsay B., Cendón, Dioni I., Maher, Damien T., and Birkel, Christian

Subjects
WETLANDS, RIPARIAN forests, FORESTED wetlands, WETLAND soils, FOREST soils, CARBON emissions
Abstract

Wetlands process large amounts of carbon (C) that can be exported laterally to streams and rivers. However, our understanding of wetland inputs to streams remains unclear, particularly in tropical systems. Here we estimated the contribution of seasonal wetlands to the C pool of a lowland headwater stream in the Australian tropics. We measured dissolved organic and inorganic C (DOC and DIC) and dissolved gases (carbon dioxide—CO2, methane—CH4) during the wet season along the mainstem and in wetland drains connected to the stream. We also recorded hourly measurements of dissolved CO2 along a 'stream–wetland drain–stream' continuum, and used a hydrological model combined with a simple mass balance approach to assess the water, DIC and DOC sources to the stream. Seasonal wetlands contributed ∼15% and ∼16% of the DOC and DIC loads during our synoptic sampling, slightly higher than the percent area (∼9%) they occupy in the catchment. The riparian forest (75% of the DOC load) and groundwater inflows (58% of the DIC load) were identified as the main sources of stream DOC and DIC. Seasonal wetlands also contributed marginally to stream CO2 and CH4. Importantly, the rates of stream CO2 emission (1.86 g C s−1) and DOC mineralization (0.33 g C s−1) were much lower than the downstream export of DIC (6.39 g C s−1) and DOC (2.66 g g C s−1). This work highlights the need for further research on the role of riparian corridors as producers and conduits of terrestrial C to tropical streams. Plain Language Summary: Streams and rivers play a vital role in carrying carbon to oceans. This carbon can originate from biological processes in the water or from external sources like rocks, forest and wetland soils. The proportion of carbon from each source depends on factors such as the local geology, climate, and landscape. In this study, we measured how much of the carbon transported by an Australian tropical stream was sourced from the wetlands in the catchment. We found that seasonal wetlands contributed ∼15% of the carbon measured in the stream. We conclude that the main sources of carbon to the stream were the riparian forest, and rock‐derived carbon carried by groundwater. Key Points: Synoptic sampling of DIC, DOC and dissolved C gases along a tropical stream and connected wetlandsSeasonal wetlands contributed ∼15% and 16% of the stream DOC and DIC loadsThe riparian forest and groundwater inflows were likely the main sources of DOC and DIC to the stream, respectively [ABSTRACT FROM AUTHOR]

Published
2024
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22. Vertical Accretion Trends in Australian Tidal Wetlands

Author

Saintilan, Neil, primary, Sun, Yujie, additional, Lovelock, Catherine E., additional, Rogers, Kerrylee, additional, Goddard, Madeline, additional, Hutley, Lindsay B., additional, Kelleway, Jeffrey, additional, Mosley, Luke, additional, Dittmann, Sabine, additional, Cormier, Nicole, additional, Lal, Kirti K., additional, and Jones, Alice, additional

Published
2023
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28. Savanna

Author

Hutley, Lindsay B., primary and Setterfield, Samantha A., additional

Published
2019
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30. An Australian blue carbon method to estimate climate change mitigation benefits of coastal wetland restoration

Author

Lovelock, Catherine E., Adame, Maria F., Bradley, Jennifer, Dittmann, Sabine, Hagger, Valerie, Hickey, Sharyn M., Hutley, Lindsay B., Jones, Alice, Kelleway, Jeffrey J., Lavery, Paul S., Macreadie, Peter I., Maher, Damien T., McGinley, Soraya, McGlashan, Alice, Perry, Sarah, Mosley, Luke, Rogers, Kerrylee, Sippo, James Z., Lovelock, Catherine E., Adame, Maria F., Bradley, Jennifer, Dittmann, Sabine, Hagger, Valerie, Hickey, Sharyn M., Hutley, Lindsay B., Jones, Alice, Kelleway, Jeffrey J., Lavery, Paul S., Macreadie, Peter I., Maher, Damien T., McGinley, Soraya, McGlashan, Alice, Perry, Sarah, Mosley, Luke, Rogers, Kerrylee, and Sippo, James Z.

Abstract

Restoration of coastal wetlands has the potential to deliver both climate change mitigation, called blue carbon, and adaptation benefits to coastal communities, as well as supporting biodiversity and providing additional ecosystem services. Valuing carbon sequestration may incentivize restoration projects; however, it requires development of rigorous methods for quantifying blue carbon sequestered during coastal wetland restoration. We describe the development of a blue carbon accounting model (BlueCAM) used within the Tidal Restoration of Blue Carbon Ecosystems Methodology Determination 2022 of the Emissions Reduction Fund (ERF), which is Australia's voluntary carbon market scheme. The new BlueCAM uses Australian data to estimate abatement from carbon and greenhouse gas sources and sinks arising from coastal wetland restoration (via tidal restoration) and aligns with the Intergovernmental Panel for Climate Change guidelines for national greenhouse gas inventories. BlueCAM includes carbon sequestered in soils and biomass and avoided emissions from alternative land uses. A conservative modeled approach was used to provide estimates of abatement (as opposed to on-ground measurements); and in doing so, this will reduce the costs associated with monitoring and verification for ERF projects and may increase participation in blue carbon projects by Australian landholders. BlueCAM encompasses multiple climate regions and plant communities and therefore may be useful to others outside Australia seeking to value blue carbon benefits from coastal wetland restoration.

Published
2023

31. Australian vegetated coastal ecosystems as global hotspots for climate change mitigation

Author

Serrano, Oscar, Lovelock, Catherine E., B. Atwood, Trisha, Macreadie, Peter I., Canto, Robert, Phinn, Stuart, Arias-Ortiz, Ariane, Bai, Le, Baldock, Jeff, Bedulli, Camila, Carnell, Paul, Connolly, Rod M., Donaldson, Paul, Esteban, Alba, Ewers Lewis, Carolyn J., Eyre, Bradley D., Hayes, Matthew A., Horwitz, Pierre, Hutley, Lindsay B., Kavazos, Christopher R. J., Kelleway, Jeffrey J., Kendrick, Gary A., Kilminster, Kieryn, Lafratta, Anna, Lee, Shing, Lavery, Paul S., Maher, Damien T., Marbà, Núria, Masque, Pere, Mateo, Miguel A., Mount, Richard, Ralph, Peter J., Roelfsema, Chris, Rozaimi, Mohammad, Ruhon, Radhiyah, Salinas, Cristian, Samper-Villarreal, Jimena, Sanderman, Jonathan, J. Sanders, Christian, Santos, Isaac, Sharples, Chris, Steven, Andrew D. L., Cannard, Toni, Trevathan-Tackett, Stacey M., and Duarte, Carlos M.

Published
2019
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33. The 10 Australian ecosystems most vulnerable to tipping points

Author

Laurance, William F, Dell, Bernard, Gawne, Ben, McMahon, Clive R, Yu, Richard, Hero, Jean-Marc, Schwarzkopf, Lin, Krockenberger, Andrew, Setterfield, Samantha A, Douglas, Michael, Silvester, Ewen, Mahony, Michael, Turton, Stephen M, Vella, Karen, Saikia, Udoy, Wahren, Carl-Henrik, Xu, Zhihong, Smith, Bradley, Cocklin, Chris, Lawes, Michael J, Hutley, Lindsay B, McCallum, Hamish, Dale, Patricia, Bird, Michael, Hardy, Giles, and Prideaux, Gavin

Abstract

MDFRC item.DOI:10.1016/j.biocon.2011.01.016.May 2011.We identify the 10 major terrestrial and marine ecosystems in Australia most vulnerable to tipping points, in which modest environmental changes can cause disproportionately large changes in ecosystem properties. To accomplish this we independently surveyed the coauthors of this paper to produce a list of candidate ecosystems, and then refined this list during a 2-day workshop. The list includes (1) elevationally restricted mountain ecosystems, (2) tropical savannas, (3) coastal floodplains and wetlands, (4) coral reefs, (5) drier rainforests, (6) wetlands and floodplains in the Murray-Darling Basin, (7) the Mediterranean ecosystems of southwestern Australia, (8) offshore islands, (9) temperate eucalypt forests, and (10) salt marshes and mangroves. Some of these ecosystems are vulnerable to widespread phase-changes that could fundamentally alter ecosystem properties such as habitat structure, species composition, fire regimes, or carbon storage. Others appear susceptible to major changes across only part of their geographic range, whereas yet others are susceptible to a large-scale decline of key biotic components, such as small mammals or stream-dwelling amphibians. For each ecosystem we consider the intrinsic features and external drivers that render it susceptible to tipping points, and identify subtypes of the ecosystem that we deem to be especially vulnerable.

Published
2023
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36. Termite sensitivity to temperature affects global wood decay rates

Author

Zanne, Amy E, Flores-Moreno, Habacuc, Powell, Jeff R, Cornwell, William K, Dalling, James W, Austin, Amy T, Classen, Aimée T, Eggleton, Paul, Okada, Kei-Ichi, Parr, Catherine L, Adair, E Carol, Adu-Bredu, Stephen, Alam, Md Azharul, Alvarez-Garzón, Carolina, Apgaua, Deborah, Aragón, Roxana, Ardon, Marcelo, Arndt, Stefan K, Ashton, Louise A, Barber, Nicholas A, Beauchêne, Jacques, Berg, Matty P, Beringer, Jason, Boer, Matthias M, Bonet, José Antonio, Bunney, Katherine, Burkhardt, Tynan J, Carvalho, Dulcinéia, Castillo-Figueroa, Dennis, Cernusak, Lucas A, Cheesman, Alexander W, Cirne-Silva, Tainá M, Cleverly, Jamie R, Cornelissen, Johannes H C, Curran, Timothy J, D'Angioli, André M, Dallstream, Caroline, Eisenhauer, Nico, Evouna Ondo, Fidele, Fajardo, Alex, Fernandez, Romina D, Ferrer, Astrid, Fontes, Marco A L, Galatowitsch, Mark L, González, Grizelle, Gottschall, Felix, Grace, Peter R, Granda, Elena, Griffiths, Hannah M, Guerra Lara, Mariana, Hasegawa, Motohiro, Hefting, Mariet M, Hinko-Najera, Nina, Hutley, Lindsay B, Jones, Jennifer, Kahl, Anja, Karan, Mirko, Keuskamp, Joost A, Lardner, Tim, Liddell, Michael, Macfarlane, Craig, Macinnis-Ng, Cate, Mariano, Ravi F, Méndez, M Soledad, Meyer, Wayne S, Mori, Akira S, Moura, Aloysio S, Northwood, Matthew, Ogaya, Romà, Oliveira, Rafael S, Orgiazzi, Alberto, Pardo, Juliana, Peguero, Guille, Penuelas, Josep, Perez, Luis I, Posada, Juan M, Prada, Cecilia M, Přívětivý, Tomáš, Prober, Suzanne M, Prunier, Jonathan, Quansah, Gabriel W, Resco de Dios, Víctor, Richter, Ronny, Robertson, Mark P, Rocha, Lucas F, Rúa, Megan A, Sarmiento, Carolina, Silberstein, Richard P, Silva, Mateus C, Siqueira, Flávia Freire, Stillwagon, Matthew Glenn, Stol, Jacqui, Taylor, Melanie K, Teste, François P, Tng, David Y P, Tucker, David, Türke, Manfred, Ulyshen, Michael D, Valverde-Barrantes, Oscar J, van den Berg, Eduardo, van Logtestijn, Richard S P, Veen, G F Ciska, Vogel, Jason G, Wardlaw, Timothy J, Wiehl, Georg, Wirth, Christian, Woods, Michaela J, Zalamea, Paul-Camilo, Ecology and Biodiversity, Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, Conservation Ecology Group, Animal Ecology, Systems Ecology, and Terrestrial Ecology (TE)

Subjects
Tropical Climate, Multidisciplinary, Temperature, Isoptera, Forests, Wood, Global Warming, Carbon Cycle, Tròpics--Clima, Explotació forestal, Cicle del carboni, Animals, Wood/microbiology, General
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. This study received support from the following sources: US National Science Foundation (NSF) DEB-1655759 (A.E.Z.); US NSF DEB-2149151 (A.E.Z.); US NSF DEB-1713502 (M.A.); US NSF DEB-1713435 (M.A.); US NSF DEB-1647502 (N.A.B.); US NSF DEB-1546686 (G.G.); US NSF DEB-1831952 (G.G.); George Washington University (A.E.Z.); USDA Forest Service (G.G.); Centre College Faculty Development Funds (M.L.G.); Australia Terrestrial Ecosystem Research Network National Collaborative Research Infrastructure Strategy (P.R.G., M.K., M.L., M.M.B., R.P.S., J.S., L.B.H., M.N., S.M.P., T.J.W., and S.K.A.); Royal Society-FCDO Africa Capacity Building Initiative (C.L.P., G.W.Q., S.A.-B., K.B., F.E.O., and M.P.R.); New Phytologist Foundation (A.T.A.); Fondecyt grant 1160329 (C.D.); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES) (E.v.d.B., A.S.Mou., R.F.M., F.F.S., T.M.C.-S., R.S.O., and A.M.D.); Department of Ecology and Conservation of the Federal University of Lavras (T.M.C.-S.); CNPq (E.v.d.B. and R.S.O.); FAPEMIG (E.v.d.B.); Australian Academy of Science 2017 Thomas Davies Research Grant (J.R.P.); Australian Research Council DP160103765 (W.K.C., J.R.P., and A.E.Z.); UK National Environment Research Council NE/L000016/1 (L.A.A.); Fundação de Amparo à Pesquisa do Estado de São Paulo, Brazil NERC - FAPESP 19/07773-1 (R.S.O. and A.M.D.); Environment Research and Technology Development Fund ERTDF, JPMEERF15S11420 of the Environmental Restoration and Conservation Agency of Japan (A.S.Mor. and K.O.); COLCIENCIAS no. FP44842-046-2017 (J.M.P.); Spanish government PID2019-110521GB-I00 (J.Pe., G.P., and R.O.); Catalan government grant SGR 2017-1005 (J.Pe., G.P., and R.O.); Fundación Ramón Areces ELEMENTAL-CLIMATE (J.Pe., G.P., and R.O.); National Agency for the Promotion of Research, Technological Development and Innovation, Scientific and Technological Research Project 2018-01561 PICT 2018-01561 (F.P.T.); ANID PIA/BASAL FB210006 (A.Fa.); Millennium Science Initiative Program NCN2021-050 (A.Fa.); iDiv German Research Foundation DFG–FZT 118, 202548816 (N.E.); and European Research Council Horizon 2020 research and innovation program no. 677232 (N.E.).

Published
2022

38. Stream respiration exceeds CO2 evasion in a low‐energy, oligotrophic tropical stream.

Author

Solano, Vanessa, Duvert, Clément, Birkel, Christian, Maher, Damien T., García, Erica A., and Hutley, Lindsay B.

Subjects
RESPIRATION, CARBON dioxide, HIGH temperatures
Abstract

Carbon dioxide (CO2) can be either imported to streams through groundwater and subsurface inputs of soil‐respired CO2 or produced internally through stream metabolism. The contribution of each source to the CO2 evasion flux from streams is not well quantified, especially in the tropics, an underrepresented region in carbon (C) cycling studies. We used high‐frequency measurements of dissolved O2 and CO2 concentrations to estimate the potential contribution of stream metabolism to the CO2 evasion flux in a tropical lowland headwater stream. We found that the stream was heterotrophic all year round, with net ecosystem productivity (NEP) values ranging from 0.84 to 4.06 g C m−2 d−1 (median 1.29 g C m−2 d−1; here we expressed gross primary productivity (GPP) as a negative flux and ecosystem respiration (ER) as a positive flux). Positive NEP values were the result of a relatively low and stable GPP through the seasons, compared to a higher and more variable ER favored by the high temperatures and organic matter availability, particularly during the wet season. The CO2 evasion flux was relatively low due to low turbulence (median: 1.09 g C m−2 d−1). As a result, daily NEP rates exceeded the CO2 evasion flux with a potential contribution of 129% (median; 120–175% interquartile range), despite the strong seasonal changes in flow regime and landscape connectivity. The CO2 excess was likely transported downstream, where it was ultimately emitted to the atmosphere. Our results highlight the overwhelming importance of ER to the C cycle of low‐energy, oligotrophic tropical streams. [ABSTRACT FROM AUTHOR]

Published
2023
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42. An Australian blue carbon method to estimate climate change mitigation benefits of coastal wetland restoration

Author

Lovelock, Catherine E., primary, Adame, Maria F., additional, Bradley, Jennifer, additional, Dittmann, Sabine, additional, Hagger, Valerie, additional, Hickey, Sharyn M., additional, Hutley, Lindsay B., additional, Jones, Alice, additional, Kelleway, Jeffrey J., additional, Lavery, Paul S., additional, Macreadie, Peter I., additional, Maher, Damien T., additional, McGinley, Soraya, additional, McGlashan, Alice, additional, Perry, Sarah, additional, Mosley, Luke, additional, Rogers, Kerrylee, additional, and Sippo, James Z., additional

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

Author

Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., Jiang, Mingkai, Hinko-Najera, Nina, Isaac, Peter, Hobeichi, Sanaa, Knauer, Jürgen, Koerber, Georgia R., Liddell, Michael, Ma, Xuanlong, Macfarlane, Craig, McHugh, Ian D., Medlyn, Belinda E., Meyer, Wayne S., Norton, Alexander J., Owens, Jyoteshna, Pitman, Andy, Pendall, Elise, Prober, Suzanne M., Ray, Ram L., Restrepo-Coupe, Natalia, Rifai, Sami W., Rowlings, David, Schipper, Louis, Silberstein, Richard P., Teckentrup, Lina, Thompson, Sally E., Ukkola, Anna M., Wall, Aaron, Wang, Ying-Ping, Wardlaw, Tim J., Woodgate, William, Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., Jiang, Mingkai, Hinko-Najera, Nina, Isaac, Peter, Hobeichi, Sanaa, Knauer, Jürgen, Koerber, Georgia R., Liddell, Michael, Ma, Xuanlong, Macfarlane, Craig, McHugh, Ian D., Medlyn, Belinda E., Meyer, Wayne S., Norton, Alexander J., Owens, Jyoteshna, Pitman, Andy, Pendall, Elise, Prober, Suzanne M., Ray, Ram L., Restrepo-Coupe, Natalia, Rifai, Sami W., Rowlings, David, Schipper, Louis, Silberstein, Richard P., Teckentrup, Lina, Thompson, Sally E., Ukkola, Anna M., Wall, Aaron, Wang, Ying-Ping, Wardlaw, Tim J., and Woodgate, William

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

45. Termite sensitivity to temperature affects global wood decay rates

Author

Ecology and Biodiversity, Sub Ecology and Biodiversity, Zanne, Amy E, Flores-Moreno, Habacuc, Powell, Jeff R, Cornwell, William K, Dalling, James W, Austin, Amy T, Classen, Aimée T, Eggleton, Paul, Okada, Kei-Ichi, Parr, Catherine L, Adair, E Carol, Adu-Bredu, Stephen, Alam, Md Azharul, Alvarez-Garzón, Carolina, Apgaua, Deborah, Aragón, Roxana, Ardon, Marcelo, Arndt, Stefan K, Ashton, Louise A, Barber, Nicholas A, Beauchêne, Jacques, Berg, Matty P, Beringer, Jason, Boer, Matthias M, Bonet, José Antonio, Bunney, Katherine, Burkhardt, Tynan J, Carvalho, Dulcinéia, Castillo-Figueroa, Dennis, Cernusak, Lucas A, Cheesman, Alexander W, Cirne-Silva, Tainá M, Cleverly, Jamie R, Cornelissen, Johannes H C, Curran, Timothy J, D'Angioli, André M, Dallstream, Caroline, Eisenhauer, Nico, Evouna Ondo, Fidele, Fajardo, Alex, Fernandez, Romina D, Ferrer, Astrid, Fontes, Marco A L, Galatowitsch, Mark L, González, Grizelle, Gottschall, Felix, Grace, Peter R, Granda, Elena, Griffiths, Hannah M, Guerra Lara, Mariana, Hasegawa, Motohiro, Hefting, Mariet M, Hinko-Najera, Nina, Hutley, Lindsay B, Jones, Jennifer, Kahl, Anja, Karan, Mirko, Keuskamp, Joost A, Lardner, Tim, Liddell, Michael, Macfarlane, Craig, Macinnis-Ng, Cate, Mariano, Ravi F, Méndez, M Soledad, Meyer, Wayne S, Mori, Akira S, Moura, Aloysio S, Northwood, Matthew, Ogaya, Romà, Oliveira, Rafael S, Orgiazzi, Alberto, Pardo, Juliana, Peguero, Guille, Penuelas, Josep, Perez, Luis I, Posada, Juan M, Prada, Cecilia M, Přívětivý, Tomáš, Prober, Suzanne M, Prunier, Jonathan, Quansah, Gabriel W, Resco de Dios, Víctor, Richter, Ronny, Robertson, Mark P, Rocha, Lucas F, Rúa, Megan A, Sarmiento, Carolina, Silberstein, Richard P, Silva, Mateus C, Siqueira, Flávia Freire, Stillwagon, Matthew Glenn, Stol, Jacqui, Taylor, Melanie K, Teste, François P, Tng, David Y P, Tucker, David, Türke, Manfred, Ulyshen, Michael D, Valverde-Barrantes, Oscar J, van den Berg, Eduardo, van Logtestijn, Richard S P, Veen, G F Ciska, Vogel, Jason G, Wardlaw, Timothy J, Wiehl, Georg, Wirth, Christian, Woods, Michaela J, Zalamea, Paul-Camilo, Ecology and Biodiversity, Sub Ecology and Biodiversity, Zanne, Amy E, Flores-Moreno, Habacuc, Powell, Jeff R, Cornwell, William K, Dalling, James W, Austin, Amy T, Classen, Aimée T, Eggleton, Paul, Okada, Kei-Ichi, Parr, Catherine L, Adair, E Carol, Adu-Bredu, Stephen, Alam, Md Azharul, Alvarez-Garzón, Carolina, Apgaua, Deborah, Aragón, Roxana, Ardon, Marcelo, Arndt, Stefan K, Ashton, Louise A, Barber, Nicholas A, Beauchêne, Jacques, Berg, Matty P, Beringer, Jason, Boer, Matthias M, Bonet, José Antonio, Bunney, Katherine, Burkhardt, Tynan J, Carvalho, Dulcinéia, Castillo-Figueroa, Dennis, Cernusak, Lucas A, Cheesman, Alexander W, Cirne-Silva, Tainá M, Cleverly, Jamie R, Cornelissen, Johannes H C, Curran, Timothy J, D'Angioli, André M, Dallstream, Caroline, Eisenhauer, Nico, Evouna Ondo, Fidele, Fajardo, Alex, Fernandez, Romina D, Ferrer, Astrid, Fontes, Marco A L, Galatowitsch, Mark L, González, Grizelle, Gottschall, Felix, Grace, Peter R, Granda, Elena, Griffiths, Hannah M, Guerra Lara, Mariana, Hasegawa, Motohiro, Hefting, Mariet M, Hinko-Najera, Nina, Hutley, Lindsay B, Jones, Jennifer, Kahl, Anja, Karan, Mirko, Keuskamp, Joost A, Lardner, Tim, Liddell, Michael, Macfarlane, Craig, Macinnis-Ng, Cate, Mariano, Ravi F, Méndez, M Soledad, Meyer, Wayne S, Mori, Akira S, Moura, Aloysio S, Northwood, Matthew, Ogaya, Romà, Oliveira, Rafael S, Orgiazzi, Alberto, Pardo, Juliana, Peguero, Guille, Penuelas, Josep, Perez, Luis I, Posada, Juan M, Prada, Cecilia M, Přívětivý, Tomáš, Prober, Suzanne M, Prunier, Jonathan, Quansah, Gabriel W, Resco de Dios, Víctor, Richter, Ronny, Robertson, Mark P, Rocha, Lucas F, Rúa, Megan A, Sarmiento, Carolina, Silberstein, Richard P, Silva, Mateus C, Siqueira, Flávia Freire, Stillwagon, Matthew Glenn, Stol, Jacqui, Taylor, Melanie K, Teste, François P, Tng, David Y P, Tucker, David, Türke, Manfred, Ulyshen, Michael D, Valverde-Barrantes, Oscar J, van den Berg, Eduardo, van Logtestijn, Richard S P, Veen, G F Ciska, Vogel, Jason G, Wardlaw, Timothy J, Wiehl, Georg, Wirth, Christian, Woods, Michaela J, and Zalamea, Paul-Camilo

Published
2022

46. Tallo database

Author

Jucker, Tommaso, Fischer, Fabian Jörg, Chave, Jérôme, Coomes, David A., Caspersen, John, Ali, Arshad, Loubota Panzou, Grace Jopaul, Feldpausch, Ted R., Falster, Daniel, Usoltsev, Vladimir A., Adu-Bredu, Stephen, Alves, Luciana F., Aminpour, Mohammad, Angoboy, Ilondea B., Anten, Niels P.R., Antin, Cécile, Askari, Yousef, Muñoz, Rodrigo, Ayyappan, Narayanan, Balvanera, Patricia, Banin, Lindsay, Barbier, Nicolas, Battles, John J., Beeckman, Hans, Bocko, Yannick E., Bond-Lamberty, Ben, Bongers, Frans, Bowers, Samuel, Brade, Thomas, van Breugel, Michiel, Chantrain, Arthur, Chaudhary, Rajeev, Dai, Jingyu, Dalponte, Michele, Dimobe, Kangbéni, Domec, Jean Christophe, Doucet, Jean Louis, Duursma, Remko A., Enríquez, Moisés, van Ewijk, Karin Y., Farfán-Rios, William, Fayolle, Adeline, Forni, Eric, Forrester, David I., Gilani, Hammad, Godlee, John L., Gourlet-Fleury, Sylvie, Haeni, Matthias, Hall, Jefferson S., He, Jie Kun, Hemp, Andreas, Hernández-Stefanoni, José L., Higgins, Steven I., Holdaway, Robert J., Hussain, Kiramat, Hutley, Lindsay B., Ichie, Tomoaki, Iida, Yoshiko, Jiang, Hai Sheng, Joshi, Puspa Raj, Kaboli, Hasan, Larsary, Maryam Kazempour, Kenzo, Tanaka, Kloeppel, Brian D., Kohyama, Takashi, Kunwar, Suwash, Kuyah, Shem, Kvasnica, Jakub, Lin, Siliang, Lines, Emily R., Liu, Hongyan, Lorimer, Craig, Loumeto, Jean Joël, Malhi, Yadvinder, Marshall, Peter L., Mattsson, Eskil, Matula, Radim, Meave, Jorge A., Mensah, Sylvanus, Mi, Xiangcheng, Momo, Stéphane, Moncrieff, Glenn R., Mora, Francisco, Nissanka, Sarath P., O'Hara, Kevin L., Pearce, Steven, Pelissier, Raphaël, Peri, Pablo L., Ploton, Pierre, Poorter, Lourens, Pour, Mohsen Javanmiri, Pourbabaei, Hassan, Dupuy-Rada, Juan Manuel, Ribeiro, Sabina C., Ryan, Casey, Sanaei, Anvar, Sanger, Jennifer, Schlund, Michael, Sellan, Giacomo, Shenkin, Alexander, Sonké, Bonaventure, Sterck, Frank J., Svátek, Martin, Takagi, Kentaro, Trugman, Anna T., Ullah, Farman, Vadeboncoeur, Matthew A., Valipour, Ahmad, Vanderwel, Mark C., Vovides, Alejandra G., Wang, Weiwei, Wang, Li Qiu, Wirth, Christian, Woods, Murray, Xiang, Wenhua, de Aquino Ximenes, Fabiano, Xu, Yaozhan, Yamada, Toshihiro, Zavala, Miguel A., Jucker, Tommaso, Fischer, Fabian Jörg, Chave, Jérôme, Coomes, David A., Caspersen, John, Ali, Arshad, Loubota Panzou, Grace Jopaul, Feldpausch, Ted R., Falster, Daniel, Usoltsev, Vladimir A., Adu-Bredu, Stephen, Alves, Luciana F., Aminpour, Mohammad, Angoboy, Ilondea B., Anten, Niels P.R., Antin, Cécile, Askari, Yousef, Muñoz, Rodrigo, Ayyappan, Narayanan, Balvanera, Patricia, Banin, Lindsay, Barbier, Nicolas, Battles, John J., Beeckman, Hans, Bocko, Yannick E., Bond-Lamberty, Ben, Bongers, Frans, Bowers, Samuel, Brade, Thomas, van Breugel, Michiel, Chantrain, Arthur, Chaudhary, Rajeev, Dai, Jingyu, Dalponte, Michele, Dimobe, Kangbéni, Domec, Jean Christophe, Doucet, Jean Louis, Duursma, Remko A., Enríquez, Moisés, van Ewijk, Karin Y., Farfán-Rios, William, Fayolle, Adeline, Forni, Eric, Forrester, David I., Gilani, Hammad, Godlee, John L., Gourlet-Fleury, Sylvie, Haeni, Matthias, Hall, Jefferson S., He, Jie Kun, Hemp, Andreas, Hernández-Stefanoni, José L., Higgins, Steven I., Holdaway, Robert J., Hussain, Kiramat, Hutley, Lindsay B., Ichie, Tomoaki, Iida, Yoshiko, Jiang, Hai Sheng, Joshi, Puspa Raj, Kaboli, Hasan, Larsary, Maryam Kazempour, Kenzo, Tanaka, Kloeppel, Brian D., Kohyama, Takashi, Kunwar, Suwash, Kuyah, Shem, Kvasnica, Jakub, Lin, Siliang, Lines, Emily R., Liu, Hongyan, Lorimer, Craig, Loumeto, Jean Joël, Malhi, Yadvinder, Marshall, Peter L., Mattsson, Eskil, Matula, Radim, Meave, Jorge A., Mensah, Sylvanus, Mi, Xiangcheng, Momo, Stéphane, Moncrieff, Glenn R., Mora, Francisco, Nissanka, Sarath P., O'Hara, Kevin L., Pearce, Steven, Pelissier, Raphaël, Peri, Pablo L., Ploton, Pierre, Poorter, Lourens, Pour, Mohsen Javanmiri, Pourbabaei, Hassan, Dupuy-Rada, Juan Manuel, Ribeiro, Sabina C., Ryan, Casey, Sanaei, Anvar, Sanger, Jennifer, Schlund, Michael, Sellan, Giacomo, Shenkin, Alexander, Sonké, Bonaventure, Sterck, Frank J., Svátek, Martin, Takagi, Kentaro, Trugman, Anna T., Ullah, Farman, Vadeboncoeur, Matthew A., Valipour, Ahmad, Vanderwel, Mark C., Vovides, Alejandra G., Wang, Weiwei, Wang, Li Qiu, Wirth, Christian, Woods, Murray, Xiang, Wenhua, de Aquino Ximenes, Fabiano, Xu, Yaozhan, Yamada, Toshihiro, and Zavala, Miguel A.

Abstract

The Tallo database (v1.0.0) is a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species., The Tallo database (v1.0.0) is a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species. For a full description of the database, see: Jucker et al. (2022) Tallo – a global tree allometry and crown architecture database. Global Change Biology, https://doi.org/10.1111/gcb.16302. If using the Tallo database in your work please cite the original publication listed above, as well as this repository using the corresponding DOI (10.5281/zenodo.6637599).

Published
2022

47. Termite sensitivity to temperature affects global wood decay rates

Author

Zanne, Amy E., Flores-Moreno, Habacuc, Powell, Jeff R., Cornwell, William K., Dalling, James W., Austin, Amy T., Classen, Aimée T., Eggleton, Paul, Okada, Kei Ichi, Parr, Catherine L., Carol Adair, E., Adu-Bredu, Stephen, Alam, Md Azharul, Alvarez-Garzón, Carolina, Apgaua, Deborah, Aragón, Roxana, Ardon, Marcelo, Arndt, Stefan K., Ashton, Louise A., Barber, Nicholas A., Beauchêne, Jacques, Berg, Matty P., Beringer, Jason, Boer, Matthias M., Bonet, José Antonio, Bunney, Katherine, Burkhardt, Tynan J., Carvalho, Dulcinéia, Castillo-Figueroa, Dennis, Cernusak, Lucas A., Cheesman, Alexander W., Cirne-Silva, Tainá M., Cleverly, Jamie R., Cornelissen, Johannes H.C., Curran, Timothy J., D’Angioli, André M., Dallstream, Caroline, Eisenhauer, Nico, Ondo, Fidele Evouna, Fajardo, Alex, Fernandez, Romina D., Ferrer, Astrid, Fontes, Marco A.L., Galatowitsch, Mark L., González, Grizelle, Gottschall, Felix, Grace, Peter R., Granda, Elena, Griffiths, Hannah M., Lara, Mariana Guerra, Hasegawa, Motohiro, Hefting, Mariet M., Hinko-Najera, Nina, Hutley, Lindsay B., Jones, Jennifer, Kahl, Anja, Karan, Mirko, Keuskamp, Joost A., Lardner, Tim, Liddell, Michael, Macfarlane, Craig, Macinnis-Ng, Cate, Mariano, Ravi F., Soledad Méndez, M., Meyer, Wayne S., Mori, Akira S., Moura, Aloysio S., Northwood, Matthew, Ogaya, Romà, Oliveira, Rafael S., Orgiazzi, Alberto, Pardo, Juliana, Peguero, Guille, Penuelas, Josep, Perez, Luis I., Posada, Juan M., Prada, Cecilia M., Přívětivý, Tomáš, Prober, Suzanne M., Prunier, Jonathan, Quansah, Gabriel W., de Dios, Víctor Resco, Richter, Ronny, Robertson, Mark P., Rocha, Lucas F., Rúa, Megan A., Sarmiento, Carolina, Silberstein, Richard P., Silva, Mateus C., Siqueira, Flávia Freire, Stillwagon, Matthew Glenn, Stol, Jacqui, Taylor, Melanie K., Teste, François P., Tng, David Y.P., Tucker, David, Türke, Manfred, Ulyshen, Michael D., Valverde-Barrantes, Oscar J., van den Berg, Eduardo, van Logtestijn, Richard S.P., Ciska Veen, G. F., Vogel, Jason G., Wardlaw, Timothy J., Wiehl, Georg, Wirth, Christian, Woods, Michaela J., Zalamea, Paul Camilo, Zanne, Amy E., Flores-Moreno, Habacuc, Powell, Jeff R., Cornwell, William K., Dalling, James W., Austin, Amy T., Classen, Aimée T., Eggleton, Paul, Okada, Kei Ichi, Parr, Catherine L., Carol Adair, E., Adu-Bredu, Stephen, Alam, Md Azharul, Alvarez-Garzón, Carolina, Apgaua, Deborah, Aragón, Roxana, Ardon, Marcelo, Arndt, Stefan K., Ashton, Louise A., Barber, Nicholas A., Beauchêne, Jacques, Berg, Matty P., Beringer, Jason, Boer, Matthias M., Bonet, José Antonio, Bunney, Katherine, Burkhardt, Tynan J., Carvalho, Dulcinéia, Castillo-Figueroa, Dennis, Cernusak, Lucas A., Cheesman, Alexander W., Cirne-Silva, Tainá M., Cleverly, Jamie R., Cornelissen, Johannes H.C., Curran, Timothy J., D’Angioli, André M., Dallstream, Caroline, Eisenhauer, Nico, Ondo, Fidele Evouna, Fajardo, Alex, Fernandez, Romina D., Ferrer, Astrid, Fontes, Marco A.L., Galatowitsch, Mark L., González, Grizelle, Gottschall, Felix, Grace, Peter R., Granda, Elena, Griffiths, Hannah M., Lara, Mariana Guerra, Hasegawa, Motohiro, Hefting, Mariet M., Hinko-Najera, Nina, Hutley, Lindsay B., Jones, Jennifer, Kahl, Anja, Karan, Mirko, Keuskamp, Joost A., Lardner, Tim, Liddell, Michael, Macfarlane, Craig, Macinnis-Ng, Cate, Mariano, Ravi F., Soledad Méndez, M., Meyer, Wayne S., Mori, Akira S., Moura, Aloysio S., Northwood, Matthew, Ogaya, Romà, Oliveira, Rafael S., Orgiazzi, Alberto, Pardo, Juliana, Peguero, Guille, Penuelas, Josep, Perez, Luis I., Posada, Juan M., Prada, Cecilia M., Přívětivý, Tomáš, Prober, Suzanne M., Prunier, Jonathan, Quansah, Gabriel W., de Dios, Víctor Resco, Richter, Ronny, Robertson, Mark P., Rocha, Lucas F., Rúa, Megan A., Sarmiento, Carolina, Silberstein, Richard P., Silva, Mateus C., Siqueira, Flávia Freire, Stillwagon, Matthew Glenn, Stol, Jacqui, Taylor, Melanie K., Teste, François P., Tng, David Y.P., Tucker, David, Türke, Manfred, Ulyshen, Michael D., Valverde-Barrantes, Oscar J., van den Berg, Eduardo, van Logtestijn, Richard S.P., Ciska Veen, G. F., Vogel, Jason G., Wardlaw, Timothy J., Wiehl, Georg, Wirth, Christian, Woods, Michaela J., and Zalamea, Paul Camilo

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
Full Text
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