Search

Your search keyword '"Farfan-Rios W."' showing total 35 results
Start Over Author "Farfan-Rios W."
35 results on '"Farfan-Rios W."'

1. Assessing trait-based scaling theory in tropical forests spanning a broad temperature gradient

Author

Enquist, BJ, Bentley, LP, Shenkin, A, Maitner, B, Savage, V, Michaletz, S, Blonder, B, Buzzard, V, Espinoza, TEB, Farfan-Rios, W, Doughty, CE, Goldsmith, GR, Martin, RE, Salinas, N, Silman, M, Díaz, S, Asner, GP, and Malhi, Y

Subjects
Amazon, Andes, ecosystem function, elevation gradient, metabolic scaling theory, scaling, stoichiometry, trait-based ecology, Ecology, Physical Geography and Environmental Geoscience, Ecological Applications
Abstract

Aim: Tropical elevation gradients are natural laboratories to assess how changing climate can influence tropical forests. However, there is a need for theory and integrated data collection to scale from traits to ecosystems. We assess predictions of a novel trait-based scaling theory, including whether observed shifts in forest traits across a broad tropical temperature gradient are consistent with local phenotypic optima and adaptive compensation for temperature. Location: An elevation gradient spanning 3,300 m and consisting of thousands of tropical tree trait measures taken from 16 1-ha tropical forest plots in southern Perú, where gross and net primary productivity (GPP and NPP) were measured. Time period: April to November 2013. Major taxa studied: Plants; tropical trees. Methods: We developed theory to scale from traits to communities and ecosystems and tested several predictions. We assessed the covariation between climate, traits, biomass and GPP and NPP. We measured multiple traits linked to variation in tree growth and assessed their frequency distributions within and across the elevation gradient. We paired these trait measures across individuals within 16 forests with simultaneous measures of ecosystem net and gross primary productivity. Results: Consistent with theory, variation in forest NPP and GPP primarily scaled with forest biomass, but the secondary effect of temperature on productivity was much less than expected. This weak temperature dependence appears to reflect directional shifts in several mean community traits that underlie tree growth with decreases in site temperature. Main conclusions: The observed shift in traits of trees that dominate in more cold environments is consistent with an ‘adaptive/acclimatory’ compensation for the kinetic effects of temperature on leaf photosynthesis and tree growth. Forest trait distributions across the gradient showed overly peaked and skewed distributions, consistent with the importance of local filtering of optimal growth traits and recent shifts in species composition and dominance attributable to warming from climate change. Trait-based scaling theory provides a basis to predict how shifts in climate have and will influence the trait composition and ecosystem functioning of tropical forests.

Published
2017

2. Persistent effects of pre-Columbian plant domestication on Amazonian forest composition

Author

Levis, C., Costa, F. R. C., Bongers, F., Peña-Claros, M., Clement, C. R., Junqueira, A. B., Neves, E. G., Tamanaha, E. K., Figueiredo, F. O. G., Salomão, R. P., Castilho, C. V., Magnusson, W. E., Phillips, O. L., Guevara, J. E., Sabatier, D., Molino, J.-F., López, D. Cárdenas, Mendoza, A. M., Pitman, N. C. A., Duque, A., Vargas, P. Núñez, Zartman, C. E., Vasquez, R., Andrade, A., Camargo, J. L., Feldpausch, T. R., Laurance, S. G. W., Laurance, W. F., Killeen, T. J., Nascimento, H. E. Mendonça, Montero, J. C., Mostacedo, B., Amaral, I. L., Vieira, I. C. Guimarães, Brienen, R., Castellanos, H., Terborgh, J., de Jesus Veiga Carim, M., da Silva Guimarães, J. R., de Souza Coelho, L., de Almeida Matos, F. D., Wittmann, F., Mogollón, H. F., Damasco, G., Dávila, N., García-Villacorta, R., Coronado, E. N. H., Emilio, T., de Andrade Lima Filho, D., Schietti, J., Souza, P., Targhetta, N., Comiskey, J. A., Marimon, B. S., Marimon, B.-H., Neill, D., Alonso, A., Arroyo, L., Carvalho, F. A., de Souza, F. C., Dallmeier, F., Pansonato, M. P., Duivenvoorden, J. F., Fine, P. V. A., Stevenson, P. R., Araujo-Murakami, A., Aymard C., G. A., Baraloto, C., do Amaral, D. D., Engel, J., Henkel, T. W., Maas, P., Petronelli, P., Revilla, J. D. Cardenas, Stropp, J., Daly, D., Gribel, R., Paredes, M. Ríos, Silveira, M., Thomas-Caesar, R., Baker, T. R., da Silva, N. F., Ferreira, L. V., Peres, C. A., Silman, M. R., Cerón, C., Valverde, F. C., Di Fiore, A., Jimenez, E. M., Mora, M. C. Peñuela, Toledo, M., Barbosa, E. M., de Matos Bonates, L. C., Arboleda, N. C., de Sousa Farias, E., Fuentes, A., Guillaumet, J.-L., Jørgensen, P. Møller, Malhi, Y., de Andrade Miranda, I. P., Phillips, J. F., Prieto, A., Rudas, A., Ruschel, A. R., Silva, N., von Hildebrand, P., Vos, V. A., Zent, E. L., Zent, S., Cintra, B. B. L., Nascimento, M. T., Oliveira, A. A., Ramirez-Angulo, H., Ramos, J. F., Rivas, G., Schöngart, J., Sierra, R., Tirado, M., van der Heijden, G., Torre, E. V., Wang, O., Young, K. R., Baider, C., Cano, A., Farfan-Rios, W., Ferreira, C., Hoffman, B., Mendoza, C., Mesones, I., Torres-Lezama, A., Medina, M. N. U., van Andel, T. R., Villarroel, D., Zagt, R., Alexiades, M. N., Balslev, H., Garcia-Cabrera, K., Gonzales, T., Hernandez, L., Huamantupa-Chuquimaco, I., Manzatto, A. G., Milliken, W., Cuenca, W. P., Pansini, S., Pauletto, D., Arevalo, F. R., Reis, N. F. Costa, Sampaio, A. F., Giraldo, L. E. Urrego, Sandoval, E. H. Valderrama, Gamarra, L. Valenzuela, Vela, C. I. A., and ter Steege, H.

Published
2017

3. Estimating the global conservation status of over 15,000 Amazonian tree species

Author

Steege, HT, Pitman, NCA, Killeen, TJ, Laurance, WF, Peres, CA, Guevara, JE, Salomão, RP, Castilho, CV, Amaral, IL, Dionízia de Almeida Matos, F, de Souza Coelho, L, Magnusson, WE, Phillips, OLB, de Andrade Lima Filho, D, de Jesus Veiga Carim, M, Victória Irume, M, Martins, MP, Molino, J-F, Sabatier, D, Wittmann, F, Lopez, DC, da Silva Guimarães, JR, Monteagudo Mendoza, A, Vargas, PN, Manzatto, AG, Farias Costa Reis, N, Terborgh, J, Casula, KR, Montero, JC, Feldpausch, TR, Honorio Coronado, EN, Duque Montoya, AJ, Zartman, ZE, Mostacedo, B, Vasquez, R, Assis, RL, Brilhante Medeiros, M, Fragomeni Simon, M, Andrade, A, Camargo, JL, Laurance, SGW, Mendonça Nascimento, HE, Marimon, BS, Marimon Jr, B-H, Costa F, Targhetta, N, Guimarães Vieira, IC, Brienen, R, Castellanos, H, Duivenvoorden, JF, Mogollón, HF, Fernandez Piedade, MT, Aymard, GA, Comiskey, JA, Damasco, G, Dávila, N, García-Villacorta, R, Stevenson Diaz, PR, Vincentini, A, Emilio, T, Levis, C, Schietti, J, Souza, P, Alonso, A, Dallmeier, F, Valle Ferreira, L, Neill, D, Araujo-Murakami, A, Arroyo, L, Antunes Carvalho, F, Coelho Souza, F, Dantas do Amaral, D, Gribel, R, Garcia Luize, B, Petrati Pansonato, M, Venticinque, E, Fine, P, Toldeo, M, Baraloto, C, Cerón, C, Engel, J, Henkel, TW, Jimenez, EM, Maas, P, Peñuela Mora, MC, Petronelli, P, Cardenas Revilla, JD, Silveira, M, Stropp, J, Thomas-Caesar, R, Baker, TR, Daly, D, Ríos Paredes, M, Ferreira da Silva, N, Fuentes, A, Møller Jørgensen, P, Schöngart, J, Silman, MR, Castaño Arboleda, N, Ladvocat Cintra, B, Cornejo Valverde, F, Di Fiore, A, Fernando Phillips, J, van Andel, TR, von Hildebrand, P, Marques Barbosa, E, de Matos Bonates, LC, de Castro, D, de Sousa Farias, E, Gonzales, T, Guillaumet, J-L, Hoffman, B, Malhi, Y, de Andrade Miranda, IP, Prieto, M, Rudas, A, Ruschell, AR, Silva, N, Vela, CIA, Vos, VA, Zent, EL, Zent, S, Cano, A, Trindade Nascimento, M, Oliveira, AA, Ramirez-Angulo, H, Ferreira Ramos, J, Sierra, R, Tirado, M, Umaña Medina, MN, van der Heijden, G, Vilanova Torre, E, Vriesendorp, C, Wang, O, Young, KR, Baider, C, Balslev, H, de Castro, N, Farfan-Rios, W, Ferreira, C, Mendoza, C, Mesonos, I, Torres-Lezama, A, Urrego Giraldo, LE, Villarroel, D, Zagt, R, Alexiades, MN, Garcia-Cabrera, K, Hernandez, L, Huamantupa-Chuquimaco, I, Milliken, W, Palacios Cuenca, W, Pansini, S, Pauletto, D, Ramirez Arevalo, F, Sampaio, AF, and Valderrama Sandoval, EH

Abstract

Estimates of extinction risk for Amazonian plant and animal species are rare, and not often incorporated into land-use policy and conservation planning. Here we overlay spatial distribution models with historical and projected deforestation to show that at least 40% and up to 64% of all Amazonian tree species are likely to qualify as globally threatened under IUCN Red List criteria. If confirmed, these results would increase the number of threatened plant species on Earth by 22%. We further show that the trends observed in Amazonia apply to trees throughout the tropics, and predict that most of the world's >40,000 tropical tree species currently qualify as globally threatened. A gap analysis suggests that existing Amazonian protected areas and indigenous territories will protect viable populations of most threatened species if those areas suffer no further degradation, highlighting the key roles that protected areas, indigenous peoples, and improved governance can play in preventing large-scale extinctions in the tropics in this century.

Published
2015

4. Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity

Author

Clark, K. E., primary, West, A. J., additional, Hilton, R. G., additional, Asner, G. P., additional, Quesada, C. A., additional, Silman, M. R., additional, Saatchi, S. S., additional, Farfan-Rios, W., additional, Martin, R. E., additional, Horwath, A. B., additional, Halladay, K., additional, New, M., additional, and Malhi, Y., additional

Published
2016
Full Text
View/download PDF

5. Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity

Author

Clark, K. E., primary, West, A. J., additional, Hilton, R. G., additional, Asner, G. P., additional, Quesada, C. A., additional, Silman, M. R., additional, Saatchi, S. S., additional, Farfan-Rios, W., additional, Martin, R. E., additional, Horwath, A. B., additional, Halladay, K., additional, New, M., additional, and Malhi, Y., additional

Published
2015
Full Text
View/download PDF

6. Supplementary material to "Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity"

Author

Clark, K. E., primary, West, A. J., additional, Hilton, R. G., additional, Asner, G. P., additional, Quesada, C. A., additional, Silman, M. R., additional, Saatchi, S. S., additional, Farfan-Rios, W., additional, Martin, R. E., additional, Horwath, A. B., additional, Halladay, K., additional, New, M., additional, and Malhi, Y., additional

Published
2015
Full Text
View/download PDF

7. Seasonality of above-ground net primary productivity along an Andean altitudinal transect in Peru

Author

Girardin, C. A. J., primary, Malhi, Y., additional, Feeley, K. J., additional, Rapp, J. M., additional, Silman, M. R., additional, Meir, P., additional, Huaraca Huasco, W., additional, Salinas, N., additional, Mamani, M., additional, Silva-Espejo, J. E., additional, García Cabrera, K., additional, Farfan Rios, W., additional, Metcalfe, D. B., additional, Doughty, C. E., additional, and Aragão, L. E. O. C., additional

Published
2014
Full Text
View/download PDF

8. Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity.

Author

Clark, K. E., West, A. J., Hilton, R. G., Asner, G. P., Quesada, C. A., Silman, M. R., Saatchi, S. S., Farfan-Rios, W., Martin, R. E., Horwath, A. B., Halladay, K., New, M., and Malhi, Y.

Subjects
GEOMORPHOLOGY, LANDSLIDES, CARBON cycle
Abstract

In this study, we assess the geomorphic role of a rare, large-magnitude landslide event and consider the effect of this event on mountain forest ecosystems and the erosion of organic carbon in an Andean river catchment. Proximal triggers such as large rain storms are known to cause large numbers of landslides, but the relative effects of such low-frequency, high-magnitude events are not well known in the context of more regular, smaller events. We develop a 25 year duration, annual-resolution landslide inventory by mapping landslide occurrence in the Kosñipata Valley, Peru, from 1988 to 2012 using Landsat, Quickbird and Worldview satellite images. Catchment-wide landslide rates were high, at 0.076% yr-1 by area, indicating landslides may completely turn over hillslopes every ~ 1320 years and strip 28 tCkm-2 yr-1 of soil (73%) and vegetation (27%). A single rain storm in March 2010 accounted for 27% of all landslide area observed during the 25 year study and removed 26% of the organic carbon that was stripped from hillslopes by all landslides during the study. An approximately lin ear magnitude-frequency relationship for annual landslide areas suggests that large storms contribute an equivalent landslide failure area to the sum of smaller frequency landslides events occurring over the same period. However, the spatial distribution of landslides associated with the 2010 storm is distinct. On the basis of precipitation statistics and landscape morphology, we hypothesize that spatial focusing of storm triggered landslide erosion at lower elevations in the Kosñipata catchment may be characteristic of longer-term patterns. These patterns may have implications for the source and composition of sediments and organic material supplied to river systems of the Amazon basin, and, through focusing of regular ecological disturbance, for the species composition of forested ecosystems in the region. [ABSTRACT FROM AUTHOR]

Published
2015
Full Text
View/download PDF

9. Global trait–environment relationships of plant communities

Author

Esteban Álvarez-Dávila, Maurizio Mencuccini, Zhiyao Tang, Norbert Jürgens, Christopher Baraloto, Robert K. Peet, Jérôme Munzinger, Josep Peñuelas, Peter M. van Bodegom, Erwin Bergmeier, Wim A. Ozinga, Isabelle Aubin, Yadvinder Malhi, Michele De Sanctis, William Farfan-Rios, Marten Winter, Benjamin Blonder, Jordi Sardans, Christian Wirth, Valério D. Pillar, Nicole J. Fenton, Ilona Knollová, Jiří Doležal, Miguel D. Mahecha, Jens Kattge, Marijn Bauters, Zoltán Botta-Dukát, Francesco Maria Sabatini, Jonathan Lenoir, Peter B. Reich, Florian Jansen, Jorcely Barroso, Frédérique Louault, Anne D. Bjorkman, Alvaro G. Gutiérrez, Michael Kleyer, Matteo Dainese, Dylan Craven, Andraž Čarni, Anita K. Smyth, Gunnar Seidler, Idoia Biurrun, Ted R. Feldpausch, Javier Silva Espejo, Helge Bruelheide, Risto Virtanen, Tarek Hattab, Franziska Schrodt, Greg R. Guerin, Sandra Díaz, Anke Jentsch, Jürgen Dengler, Borja Jiménez-Alfaro, J. Hans C. Cornelissen, Kate H. Orwin, Bruno Hérault, Tomáš Černý, Stephan M. Hennekens, Erik Welk, Frederic Lens, Mohammed Abu Sayed Arfin Khan, Jacqueline Loos, Kiril Vassilev, Milan Chytrý, Jonas V. Müller, Christine Römermann, Sylvia Haider, Géraldine Derroire, Marcos Silveira, Greg H. R. Henry, Petr Petřík, Ülo Niinemets, Zygmunt Kącki, Isla H. Myers-Smith, Michael Kessler, Dirk Nikolaus Karger, Evan Weiher, Andrey Yu. Korolyuk, Richard Field, Raquel Thomas, Eric Garnier, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens-Christian Svenning, Corrado Marcenò, Aaron Pérez-Haase, Daniel C. Laughlin, Pedro Higuchi, Jürgen Homeier, Ute Jandt, Fabio Attorre, Karsten Wesche, Norbert Hölzel, Oliver L. Phillips, Ingolf Kühn, Marco Schmidt, Meelis Pärtel, David A. Neill, Maria Sporbert, Mariyana Lyubenova, Oliver Purschke, Arthur Vinicius Rodrigues, Ioannis Tsiripidis, Jan Altman, Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Universität Bayreuth, German Centre for Integrative Biodiversity Research (iDiv), UR Ecol & Dynam Syst Anthropises EDYSAN, UMR CNRS 7058, Université de Picardie Jules Verne (UPJV), Department of Botany and Zoology, Masaryk University, ALTERRA Wageningen, ALTERRA, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universiteit Leiden [Leiden], Fundación Con-Vida, Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Acre (UFAC), Ecology and Evolutionary Biology [Tucson] (EEB), University of Arizona, National Institute of Biology [Ljubljana], Universidad Rey Juan Carlos [Madrid] (URJC), Vrije Universiteit Amsterdam [Amsterdam] (VU), Royal Institute of Technology (KTH), Department of Microelectronics and Information Technology, Kista Photonics Research Center (KPRC) (KTH), Royal Institute of Technology [Stockholm] (KTH ), AgroParisTech, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Ecosystèmes et Ressources Aquatiques (UR03AGRO1), Institut National Agronomique de Tunisie, Westfälische Wilhelms-Universität Münster (WWU), Georg-August-Universität Göttingen, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Zurich, Landscape Ecology Group, University of Oldenburg, Helmholtz Zentrum für Umweltforschung (UFZ), Netherlands Centre for Biodiversity Naturalis, Institute of Ecology, Leuphana University, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Environmental Change Institute, University of Oxford [Oxford], School of Geosciences [Edinburgh], University of Edinburgh, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universidad Estatal Amazonica, Estonian University of Life Sciences, University of Nijmegen, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), Institute of Ecology and Earth Sciences, University of Tartu, University of Tartu, Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Universität Regensburg (REGENSBURG), Universität Regensburg, Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Dept Biol Sci, Ecoinformat & Biodivers Grp, Aarhus University [Aarhus], Aristotle University of Thessaloniki, Dept Biol, University of Oulu, University of Wisconsin-Eau Claire, Department of Botany, Senckenberg Natural History Museum, Synthesis Centre for Biodiversity Sciences, German Centre for Integrative Biodiversity Research, Universität Leipzig [Leipzig], Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Masaryk University [Brno] (MUNI), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University [Göttingen], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universitat Autònoma de Barcelona (UAB), University of Minnesota [Twin Cities] (UMN), Martin-Luther-University Halle-Wittenberg, Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Wageningen University and Research Centre [Wageningen] (WUR), Chercheur indépendant, Department of Ecological Modelling [UFZ Leipzig], Helmholtz Centre for Environmental Research (UFZ), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Hawkesbury Institute for the Environment [Richmond] (HIE), Western Sydney University (UWS), Bruelheide H., Dengler J., Purschke O., Lenoir J., Jimenez-Alfaro B., Hennekens S.M., Botta-Dukat Z., Chytry M., Field R., Jansen F., Kattge J., Pillar V.D., Schrodt F., Mahecha M.D., Peet R.K., Sandel B., van Bodegom P., Altman J., Alvarez-Davila E., Arfin Khan M.A.S., Attorre F., Aubin I., Baraloto C., Barroso J.G., Bauters M., Bergmeier E., Biurrun I., Bjorkman A.D., Blonder B., Carni A., Cayuela L., Cerny T., Cornelissen J.H.C., Craven D., Dainese M., Derroire G., De Sanctis M., Diaz S., Dolezal J., Farfan-Rios W., Feldpausch T.R., Fenton N.J., Garnier E., Guerin G.R., Gutierrez A.G., Haider S., Hattab T., Henry G., Herault B., Higuchi P., Holzel N., Homeier J., Jentsch A., Jurgens N., Kacki Z., Karger D.N., Kessler M., Kleyer M., Knollova I., Korolyuk A.Y., Kuhn I., Laughlin D.C., Lens F., Loos J., Louault F., Lyubenova M.I., Malhi Y., Marceno C., Mencuccini M., Muller J.V., Munzinger J., Myers-Smith I.H., Neill D.A., Niinemets U., Orwin K.H., Ozinga W.A., Penuelas J., Perez-Haase A., Petrik P., Phillips O.L., Partel M., Reich P.B., Romermann C., Rodrigues A.V., Sabatini F.M., Sardans J., Schmidt M., Seidler G., Silva Espejo J.E., Silveira M., Smyth A., Sporbert M., Svenning J.-C., Tang Z., Thomas R., Tsiripidis I., Vassilev K., Violle C., Virtanen R., Weiher E., Welk E., Wesche K., Winter M., Wirth C., Jandt U., Systems Ecology, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, [SDV]Life Sciences [q-bio], Bos- en Landschapsecologie, 01 natural sciences, Ecosystem services, forests, grassland, life history traits, plant dispersal, plants, Forest and Landscape Ecology, Environmental planning, OT PB Vredepeel, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, diversité fonctionnelle, Ecology, Vegetation, Plants, Grassland, économie foliaire, Biogeography, Community Ecology, Ecosystems Research, [SDE]Environmental Sciences, Trait, Vegetatie, Bos- en Landschapsecologie, F40 - Écologie végétale, F60 - Physiologie et biochimie végétale, [SDE.MCG]Environmental Sciences/Global Changes, education, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Life History Trait, Biology, Sustainability Science, 010603 evolutionary biology, température, Life Science, prédiction, Ecosystem, Forest, 577: Ökologie, Vegetatie, Ecology, Evolution, Behavior and Systematics, climat, Plant Dispersal, Niche differentiation, Plant community, 15. Life on land, Disturbance (ecology), Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), 010606 plant biology & botany
Abstract

International audience; Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Published
2018

10. Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient

Author

Owen K. Atkin, Oliver L. Phillips, Nikolaos M. Fyllas, Brian J. Enquist, Norma Salinas, Lisa Patrick Bentley, Sandra Díaz, Yoko Ishida, Rossella Guerrieri, Miles R. Silman, Emanuel Gloor, Gregory P. Asner, William Farfan-Rios, Joana Zaragoza-Castells, Roberta E. Martin, Alexander Shenkin, Yadvinder Malhi, Lasantha K. Weerasinghe, Patrick Meir, Walter Huaraca Huasco, Fyllas N.M., Bentley L.P., Shenkin A., Asner G.P., Atkin O.K., Diaz S., Enquist B.J., Farfan-Rios W., Gloor E., Guerrieri R., Huasco W.H., Ishida Y., Martin R.E., Meir P., Phillips O., Salinas N., Silman M., Weerasinghe L.K., Zaragoza-Castells J., Malhi Y., and Swenson, DN

Subjects
0106 biological sciences, tropical forest, 010504 meteorology & atmospheric sciences, Otras Ciencias Biológicas, TROPICAL FORESTS, Forests, 010603 evolutionary biology, 01 natural sciences, Trees, Ciencias Biológicas, modelling, Tropical climate, GLOBAL ECOSYSTEM MONITORING, Ecosystem, ANDES, functional trait, TFS, climate, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, 2. Zero hunger, Tropical Climate, Ecology, Ande, Elevation, MODELLING, food and beverages, 15. Life on land, CLIMATE, Plant Leaves, Variation (linguistics), FUNCTIONAL TRAITS, Productivity (ecology), 13. Climate action, global ecosystem monitoring, Trait, Environmental science, Spatial variability, Scale (map), Plant Leave, CIENCIAS NATURALES Y EXACTAS, Tree
Abstract

One of the major challenges in ecology is to understand how ecosystems respond to changes inenvironmental conditions, and how taxonomic and functional diversity mediate these changes. Inthis study, we use a trait-spectra and individual-based model, to analyse variation in forest primaryproductivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accuratelypredicted the magnitude and trends in forest productivity with elevation, with solar radiation andplant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, andwood density) collectively accounting for productivity variation. Remarkably, explicit representationof temperature variation with elevation was not required to achieve accurate predictions offorest productivity, as trait variation driven by species turnover appears to capture the effect oftemperature. Our semi-mechanistic model suggests that spatial variation in traits can potentiallybe used to estimate spatial variation in productivity at the landscape scale. Fil: Fyllas, Nikolaos M.. University of Oxford; Reino Unido Fil: Patrick Bentley, Lisa. University of Oxford; Reino Unido Fil: Shenkin, Alexander. University of Oxford; Reino Unido Fil: Asner, Gregory P.. Carnegie Institution for Science. Department of Global Ecology; Reino Unido Fil: Atkin, Owen K.. The Australian National University. ARC Centre of Excellence in Plant Energy Biology. Research School of Biology; Australia Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Enquist, Brian J.. Arizona State University; Estados Unidos Fil: Farfan Rios, William. University Wake Forest; Estados Unidos Fil: Gloor, Emanuel. University of Leeds; Reino Unido Fil: Guerrieri, Rossella. Universitat Autònoma de Barcelona; España. University of Edinburgh; Reino Unido Fil: Huaraca Huasco, Walter. Universidad Nacional de San Antonio Abad del Cusco; Perú Fil: Ishida, Yoko. James Cook University; Australia Fil: Martin, Roberta E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos Fil: Meir, Patrick. University of Edinburgh; Reino Unido. The Australian National University. Research School of Biology. Division of Plant Sciences; Australia Fil: Phillips, Oliver. University of Leeds; Reino Unido Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú Fil: Silman, Miles. University Wake Forest; Estados Unidos Fil: Weerasinghe, Lasantha K.. The Australian National University. Research School of Biology. Division of Plant Sciences; Australia Fil: Zaragoza Castells, Joana. The Australian National University. Research School of Biology. Division of Plant Sciences; Australia. University of Exeter; Reino Unido Fil: Malhi, Yadvinder. University of Oxford; Reino Unido

Published
2016

11. Author Correction: One sixth of Amazonian tree diversity is dependent on river floodplains.

Author

Householder JE, Wittmann F, Schöngart J, Piedade MTF, Junk WJ, Latrubesse EM, Quaresma AC, Demarchi LO, de S Lobo G, Aguiar DPP, Assis RL, Lopes A, Parolin P, Leão do Amaral I, Coelho LS, de Almeida Matos FD, Lima Filho DA, Salomão RP, Castilho CV, Guevara-Andino JE, Carim MJV, Phillips OL, Cárdenas López D, Magnusson WE, Sabatier D, Revilla JDC, Molino JF, Irume MV, Martins MP, Guimarães JRDS, Ramos JF, Rodrigues DJ, Bánki OS, Peres CA, Pitman NCA, Hawes JE, Almeida EJ, Barbosa LF, Cavalheiro L, Dos Santos MCV, Luize BG, Novo EMML, Núñez Vargas P, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Costa FRC, Honorio Coronado EN, Monteagudo Mendoza A, Montero JC, Feldpausch TR, Aymard C GA, Baraloto C, Castaño Arboleda N, Engel J, Petronelli P, Zartman CE, Killeen TJ, Rincón LM, Marimon BS, Marimon-Junior BH, Schietti J, Sousa TR, Vasquez R, Mostacedo B, Dantas do Amaral D, Castellanos H, Medeiros MB, Simon MF, Andrade A, Camargo JL, Laurance WF, Laurance SGW, Farias ES, Lopes MA, Magalhães JLL, Mendonça Nascimento HE, Queiroz HL, Brienen R, Stevenson PR, Araujo-Murakami A, Baker TR, Cintra BBL, Feitosa YO, Mogollón HF, Noronha JC, Barbosa FR, de Sá Carpanedo R, Duivenvoorden JF, Silman MR, Ferreira LV, Levis C, Lozada JR, Comiskey JA, Draper FC, Toledo JJ, Damasco G, Dávila N, García-Villacorta R, Vicentini A, Cornejo Valverde F, Alonso A, Arroyo L, Dallmeier F, Gomes VHF, Jimenez EM, Neill D, Peñuela Mora MC, Carvalho FA, Coelho de Souza F, Feeley KJ, Gribel R, Pansonato MP, Ríos Paredes M, Barlow J, Berenguer E, Dexter KG, Ferreira J, Fine PVA, Guedes MC, Huamantupa-Chuquimaco I, Licona JC, Pennington T, Villa Zegarra BE, Vos VA, Cerón C, Fonty É, Henkel TW, Maas P, Pos E, Silveira M, Stropp J, Thomas R, Daly D, Milliken W, Pardo Molina G, Vieira ICG, Albuquerque BW, Campelo W, Emilio T, Fuentes A, Klitgaard B, Marcelo Pena JL, Souza PF, Tello JS, Vriesendorp C, Chave J, Di Fiore A, Hilário RR, Pereira LO, Phillips JF, Rivas-Torres G, van Andel TR, von Hildebrand P, Balee W, Barbosa EM, Bonates LCM, Doza HPD, Gómez RZ, Gonzales T, Gonzales GPG, Hoffman B, Junqueira AB, Malhi Y, Miranda IPA, Mozombite-Pinto LF, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Zent S, Zent EL, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Flores BM, Galbraith D, Holmgren M, Kalamandeen M, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Rocha M, Scudeller VV, Sierra R, Tirado M, Umaña MN, van der Heijden G, Vilanova Torre E, Ahuite Reategui MA, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Parada GA, Torres-Lezama A, Urrego Giraldo LE, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Garcia-Cabrera K, Hernandez L, Palacios Cuenca W, Pansini S, Pauletto D, Ramirez Arevalo F, Sampaio AF, Valderrama Sandoval EH, Valenzuela Gamarra L, and Ter Steege H

Published
2024
Full Text
View/download PDF

12. One sixth of Amazonian tree diversity is dependent on river floodplains.

Author

Householder JE, Wittmann F, Schöngart J, Piedade MTF, Junk WJ, Latrubesse EM, Quaresma AC, Demarchi LO, de S Lobo G, Aguiar DPP, Assis RL, Lopes A, Parolin P, Leão do Amaral I, Coelho LS, de Almeida Matos FD, Lima Filho DA, Salomão RP, Castilho CV, Guevara-Andino JE, Carim MJV, Phillips OL, Cárdenas López D, Magnusson WE, Sabatier D, Revilla JDC, Molino JF, Irume MV, Martins MP, Guimarães JRDS, Ramos JF, Rodrigues DJ, Bánki OS, Peres CA, Pitman NCA, Hawes JE, Almeida EJ, Barbosa LF, Cavalheiro L, Dos Santos MCV, Luize BG, Novo EMML, Núñez Vargas P, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Costa FRC, Honorio Coronado EN, Monteagudo Mendoza A, Montero JC, Feldpausch TR, Aymard C GA, Baraloto C, Castaño Arboleda N, Engel J, Petronelli P, Zartman CE, Killeen TJ, Rincón LM, Marimon BS, Marimon-Junior BH, Schietti J, Sousa TR, Vasquez R, Mostacedo B, Dantas do Amaral D, Castellanos H, Medeiros MB, Simon MF, Andrade A, Camargo JL, Laurance WF, Laurance SGW, Farias ES, Lopes MA, Magalhães JLL, Mendonça Nascimento HE, Queiroz HL, Brienen R, Stevenson PR, Araujo-Murakami A, Baker TR, Cintra BBL, Feitosa YO, Mogollón HF, Noronha JC, Barbosa FR, de Sá Carpanedo R, Duivenvoorden JF, Silman MR, Ferreira LV, Levis C, Lozada JR, Comiskey JA, Draper FC, Toledo JJ, Damasco G, Dávila N, García-Villacorta R, Vicentini A, Cornejo Valverde F, Alonso A, Arroyo L, Dallmeier F, Gomes VHF, Jimenez EM, Neill D, Peñuela Mora MC, Carvalho FA, Coelho de Souza F, Feeley KJ, Gribel R, Pansonato MP, Ríos Paredes M, Barlow J, Berenguer E, Dexter KG, Ferreira J, Fine PVA, Guedes MC, Huamantupa-Chuquimaco I, Licona JC, Pennington T, Villa Zegarra BE, Vos VA, Cerón C, Fonty É, Henkel TW, Maas P, Pos E, Silveira M, Stropp J, Thomas R, Daly D, Milliken W, Pardo Molina G, Vieira ICG, Albuquerque BW, Campelo W, Emilio T, Fuentes A, Klitgaard B, Marcelo Pena JL, Souza PF, Tello JS, Vriesendorp C, Chave J, Di Fiore A, Hilário RR, Pereira LO, Phillips JF, Rivas-Torres G, van Andel TR, von Hildebrand P, Balee W, Barbosa EM, Bonates LCM, Doza HPD, Gómez RZ, Gonzales T, Gonzales GPG, Hoffman B, Junqueira AB, Malhi Y, Miranda IPA, Mozombite-Pinto LF, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Zent S, Zent EL, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Flores BM, Galbraith D, Holmgren M, Kalamandeen M, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Rocha M, Scudeller VV, Sierra R, Tirado M, Umaña MN, van der Heijden G, Vilanova Torre E, Ahuite Reategui MA, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Parada GA, Torres-Lezama A, Urrego Giraldo LE, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Garcia-Cabrera K, Hernandez L, Palacios Cuenca W, Pansini S, Pauletto D, Ramirez Arevalo F, Sampaio AF, Valderrama Sandoval EH, Valenzuela Gamarra L, and Ter Steege H

Subjects
Brazil, Forests, Biodiversity, Trees, Rivers, Floods
Abstract

Amazonia's floodplain system is the largest and most biodiverse on Earth. Although forests are crucial to the ecological integrity of floodplains, our understanding of their species composition and how this may differ from surrounding forest types is still far too limited, particularly as changing inundation regimes begin to reshape floodplain tree communities and the critical ecosystem functions they underpin. Here we address this gap by taking a spatially explicit look at Amazonia-wide patterns of tree-species turnover and ecological specialization of the region's floodplain forests. We show that the majority of Amazonian tree species can inhabit floodplains, and about a sixth of Amazonian tree diversity is ecologically specialized on floodplains. The degree of specialization in floodplain communities is driven by regional flood patterns, with the most compositionally differentiated floodplain forests located centrally within the fluvial network and contingent on the most extraordinary flood magnitudes regionally. Our results provide a spatially explicit view of ecological specialization of floodplain forest communities and expose the need for whole-basin hydrological integrity to protect the Amazon's tree diversity and its function., (© 2024. The Author(s).)

Published
2024
Full Text
View/download PDF

13. Peru's zoning amendment endangers forests.

Author

Martel C, Mendieta-Leiva G, Alvarez-Loayza PC, Cano A, Cosio EG, Decock C, Farfan-Rios W, Feeley K, Honorio Coronado E, Huamantupa I, Ibañez AJ, Koepcke de Diller J, León B, Linares-Palomino R, Marcelo Peña JL, Millán B, Moat JF, Pennington RT, Pitman N, Salinas N, Rojas-VeraPinto R, Stevenson PC, Tovar C, Whaley OQ, and Young KR

Subjects
Peru, Forests
Published
2024
Full Text
View/download PDF

14. Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú.

Author

Halbritter AH, Vandvik V, Cotner SH, Farfan-Rios W, Maitner BS, Michaletz ST, Oliveras Menor I, Telford RJ, Ccahuana A, Cruz R, Sallo-Bravo J, Santos-Andrade PE, Vilca-Bustamante LL, Castorena M, Chacón-Labella J, Christiansen CT, Duran SM, Egelkraut DD, Gya R, Haugum SV, Seltzer L, Silman MR, Strydom T, Spiegel MP, Barros A, Birkeli K, Boakye M, Chiappero F, Chmurzynski A, Garen JC, Gaudard J, Gauthier TJ, Geange SR, Gonzales FN, Henn JJ, Hošková K, Isaksen A, Jessup LH, Johnson W, Kusch E, Lepley K, Lift M, Martyn TE, Muñoz Mazon M, Middleton SL, Quinteros Casaverde NL, Navarro J, Zepeda V, Ocampo-Zuleta K, Palomino-Cardenas AC, Pastor Ploskonka S, Pierfederici ME, Pinelli V, Rickenback J, Roos RE, Rui HS, Sanchez Diaz E, Sánchez-Tapia A, Smith A, Urquiaga-Flores E, von Oppen J, and Enquist BJ

Subjects
Biodiversity, Peru, Climate, Altitude, Fires, Ecosystem, Grassland, Plants
Abstract

Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families., (© 2024. The Author(s).)

Published
2024
Full Text
View/download PDF

15. Consistent patterns of common species across tropical tree communities.

Author

Cooper DLM, Lewis SL, Sullivan MJP, Prado PI, Ter Steege H, Barbier N, Slik F, Sonké B, Ewango CEN, Adu-Bredu S, Affum-Baffoe K, de Aguiar DPP, Ahuite Reategui MA, Aiba SI, Albuquerque BW, de Almeida Matos FD, Alonso A, Amani CA, do Amaral DD, do Amaral IL, Andrade A, de Andrade Miranda IP, Angoboy IB, Araujo-Murakami A, Arboleda NC, Arroyo L, Ashton P, Aymard C GA, Baider C, Baker TR, Balinga MPB, Balslev H, Banin LF, Bánki OS, Baraloto C, Barbosa EM, Barbosa FR, Barlow J, Bastin JF, Beeckman H, Begne S, Bengone NN, Berenguer E, Berry N, Bitariho R, Boeckx P, Bogaert J, Bonyoma B, Boundja P, Bourland N, Boyemba Bosela F, Brambach F, Brienen R, Burslem DFRP, Camargo JL, Campelo W, Cano A, Cárdenas S, Cárdenas López D, de Sá Carpanedo R, Carrero Márquez YA, Carvalho FA, Casas LF, Castellanos H, Castilho CV, Cerón C, Chapman CA, Chave J, Chhang P, Chutipong W, Chuyong GB, Cintra BBL, Clark CJ, Coelho de Souza F, Comiskey JA, Coomes DA, Cornejo Valverde F, Correa DF, Costa FRC, Costa JBP, Couteron P, Culmsee H, Cuni-Sanchez A, Dallmeier F, Damasco G, Dauby G, Dávila N, Dávila Doza HP, De Alban JDT, de Assis RL, De Canniere C, De Haulleville T, de Jesus Veiga Carim M, Demarchi LO, Dexter KG, Di Fiore A, Din HHM, Disney MI, Djiofack BY, Djuikouo MK, Do TV, Doucet JL, Draper FC, Droissart V, Duivenvoorden JF, Engel J, Estienne V, Farfan-Rios W, Fauset S, Feeley KJ, Feitosa YO, Feldpausch TR, Ferreira C, Ferreira J, Ferreira LV, Fletcher CD, Flores BM, Fofanah A, Foli EG, Fonty É, Fredriksson GM, Fuentes A, Galbraith D, Gallardo Gonzales GP, Garcia-Cabrera K, García-Villacorta R, Gomes VHF, Gómez RZ, Gonzales T, Gribel R, Guedes MC, Guevara JE, Hakeem KR, Hall JS, Hamer KC, Hamilton AC, Harris DJ, Harrison RD, Hart TB, Hector A, Henkel TW, Herbohn J, Hockemba MBN, Hoffman B, Holmgren M, Honorio Coronado EN, Huamantupa-Chuquimaco I, Hubau W, Imai N, Irume MV, Jansen PA, Jeffery KJ, Jimenez EM, Jucker T, Junqueira AB, Kalamandeen M, Kamdem NG, Kartawinata K, Kasongo Yakusu E, Katembo JM, Kearsley E, Kenfack D, Kessler M, Khaing TT, Killeen TJ, Kitayama K, Klitgaard B, Labrière N, Laumonier Y, Laurance SGW, Laurance WF, Laurent F, Le TC, Le TT, Leal ME, Leão de Moraes Novo EM, Levesley A, Libalah MB, Licona JC, Lima Filho DA, Lindsell JA, Lopes A, Lopes MA, Lovett JC, Lowe R, Lozada JR, Lu X, Luambua NK, Luize BG, Maas P, Magalhães JLL, Magnusson WE, Mahayani NPD, Makana JR, Malhi Y, Maniguaje Rincón L, Mansor A, Manzatto AG, Marimon BS, Marimon-Junior BH, Marshall AR, Martins MP, Mbayu FM, de Medeiros MB, Mesones I, Metali F, Mihindou V, Millet J, Milliken W, Mogollón HF, Molino JF, Mohd Said MN, Monteagudo Mendoza A, Montero JC, Moore S, Mostacedo B, Mozombite Pinto LF, Mukul SA, Munishi PKT, Nagamasu H, Nascimento HEM, Nascimento MT, Neill D, Nilus R, Noronha JC, Nsenga L, Núñez Vargas P, Ojo L, Oliveira AA, de Oliveira EA, Ondo FE, Palacios Cuenca W, Pansini S, Pansonato MP, Paredes MR, Paudel E, Pauletto D, Pearson RG, Pena JLM, Pennington RT, Peres CA, Permana A, Petronelli P, Peñuela Mora MC, Phillips JF, Phillips OL, Pickavance G, Piedade MTF, Pitman NCA, Ploton P, Popelier A, Poulsen JR, Prieto A, Primack RB, Priyadi H, Qie L, Quaresma AC, de Queiroz HL, Ramirez-Angulo H, Ramos JF, Reis NFC, Reitsma J, Revilla JDC, Riutta T, Rivas-Torres G, Robiansyah I, Rocha M, Rodrigues DJ, Rodriguez-Ronderos ME, Rovero F, Rozak AH, Rudas A, Rutishauser E, Sabatier D, Sagang LB, Sampaio AF, Samsoedin I, Satdichanh M, Schietti J, Schöngart J, Scudeller VV, Seuaturien N, Sheil D, Sierra R, Silman MR, Silva TSF, da Silva Guimarães JR, Simo-Droissart M, Simon MF, Sist P, Sousa TR, de Sousa Farias E, de Souza Coelho L, Spracklen DV, Stas SM, Steinmetz R, Stevenson PR, Stropp J, Sukri RS, Sunderland TCH, Suzuki E, Swaine MD, Tang J, Taplin J, Taylor DM, Tello JS, Terborgh J, Texier N, Theilade I, Thomas DW, Thomas R, Thomas SC, Tirado M, Toirambe B, de Toledo JJ, Tomlinson KW, Torres-Lezama A, Tran HD, Tshibamba Mukendi J, Tumaneng RD, Umaña MN, Umunay PM, Urrego Giraldo LE, Valderrama Sandoval EH, Valenzuela Gamarra L, Van Andel TR, van de Bult M, van de Pol J, van der Heijden G, Vasquez R, Vela CIA, Venticinque EM, Verbeeck H, Veridiano RKA, Vicentini A, Vieira ICG, Vilanova Torre E, Villarroel D, Villa Zegarra BE, Vleminckx J, von Hildebrand P, Vos VA, Vriesendorp C, Webb EL, White LJT, Wich S, Wittmann F, Zagt R, Zang R, Zartman CE, Zemagho L, Zent EL, and Zent S

Subjects
Biodiversity, Africa, Asia, Southeastern, Forests, Trees anatomy & histology, Trees classification, Trees growth & development, Tropical Climate
Abstract

Trees structure the Earth's most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations 1-6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth's 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories 7 , we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world's most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees., (© 2024. The Author(s).)

Published
2024
Full Text
View/download PDF

16. Mapping density, diversity and species-richness of the Amazon tree flora.

Author

Ter Steege H, Pitman NCA, do Amaral IL, de Souza Coelho L, de Almeida Matos FD, de Andrade Lima Filho D, Salomão RP, Wittmann F, Castilho CV, Guevara JE, Veiga Carim MJ, Phillips OL, Magnusson WE, Sabatier D, Revilla JDC, Molino JF, Irume MV, Martins MP, da Silva Guimarães JR, Ramos JF, Bánki OS, Piedade MTF, Cárdenas López D, Rodrigues DJ, Demarchi LO, Schöngart J, Almeida EJ, Barbosa LF, Cavalheiro L, Dos Santos MCV, Luize BG, de Leão Novo EMM, Vargas PN, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Honorio Coronado EN, Monteagudo Mendoza A, Montero JC, Costa FRC, Feldpausch TR, Quaresma AC, Castaño Arboleda N, Zartman CE, Killeen TJ, Marimon BS, Marimon-Junior BH, Vasquez R, Mostacedo B, Assis RL, Baraloto C, do Amaral DD, Engel J, Petronelli P, Castellanos H, de Medeiros MB, Simon MF, Andrade A, Camargo JL, Laurance WF, Laurance SGW, Maniguaje Rincón L, Schietti J, Sousa TR, de Sousa Farias E, Lopes MA, Magalhães JLL, Nascimento HEM, de Queiroz HL, Aymard C GA, Brienen R, Stevenson PR, Araujo-Murakami A, Baker TR, Cintra BBL, Feitosa YO, Mogollón HF, Duivenvoorden JF, Peres CA, Silman MR, Ferreira LV, Lozada JR, Comiskey JA, Draper FC, de Toledo JJ, Damasco G, García-Villacorta R, Lopes A, Vicentini A, Cornejo Valverde F, Alonso A, Arroyo L, Dallmeier F, Gomes VHF, Jimenez EM, Neill D, Peñuela Mora MC, Noronha JC, de Aguiar DPP, Barbosa FR, Bredin YK, de Sá Carpanedo R, Carvalho FA, de Souza FC, Feeley KJ, Gribel R, Haugaasen T, Hawes JE, Pansonato MP, Ríos Paredes M, Barlow J, Berenguer E, da Silva IB, Ferreira MJ, Ferreira J, Fine PVA, Guedes MC, Levis C, Licona JC, Villa Zegarra BE, Vos VA, Cerón C, Durgante FM, Fonty É, Henkel TW, Householder JE, Huamantupa-Chuquimaco I, Pos E, Silveira M, Stropp J, Thomas R, Daly D, Dexter KG, Milliken W, Molina GP, Pennington T, Vieira ICG, Weiss Albuquerque B, Campelo W, Fuentes A, Klitgaard B, Pena JLM, Tello JS, Vriesendorp C, Chave J, Di Fiore A, Hilário RR, de Oliveira Pereira L, Phillips JF, Rivas-Torres G, van Andel TR, von Hildebrand P, Balee W, Barbosa EM, de Matos Bonates LC, Dávila Doza HP, Zárate Gómez R, Gonzales T, Gallardo Gonzales GP, Hoffman B, Junqueira AB, Malhi Y, de Andrade Miranda IP, Pinto LFM, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Zent EL, Zent S, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Flores BM, Galbraith D, Holmgren M, Kalamandeen M, Lobo G, Torres Montenegro L, Nascimento MT, Oliveira AA, Pombo MM, Ramirez-Angulo H, Rocha M, Scudeller VV, Sierra R, Tirado M, Umaña MN, van der Heijden G, Vilanova Torre E, Reategui MAA, Baider C, Balslev H, Cárdenas S, Casas LF, Endara MJ, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Parada GA, Torres-Lezama A, Urrego Giraldo LE, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Garcia-Cabrera K, Hernandez L, Cuenca WP, Pansini S, Pauletto D, Ramirez Arevalo F, Sampaio AF, Valderrama Sandoval EH, Gamarra LV, Levesley A, Pickavance G, and Melgaço K

Subjects
Forests, Soil, Temperature, Trees, RNA, Long Noncoding
Abstract

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution., (© 2023. The Author(s).)

Published
2023
Full Text
View/download PDF

17. More than 10,000 pre-Columbian earthworks are still hidden throughout Amazonia.

Author

Peripato V, Levis C, Moreira GA, Gamerman D, Ter Steege H, Pitman NCA, de Souza JG, Iriarte J, Robinson M, Junqueira AB, Trindade TB, de Almeida FO, Moraes CP, Lombardo U, Tamanaha EK, Maezumi SY, Ometto JPHB, Braga JRG, Campanharo WA, Cassol HLG, Leal PR, de Assis MLR, da Silva AM, Phillips OL, Costa FRC, Flores BM, Hoffman B, Henkel TW, Umaña MN, Magnusson WE, Valderrama Sandoval EH, Barlow J, Milliken W, Lopes MA, Simon MF, van Andel TR, Laurance SGW, Laurance WF, Torres-Lezama A, Assis RL, Molino JF, Mestre M, Hamblin M, Coelho LS, Lima Filho DA, Wittmann F, Salomão RP, Amaral IL, Guevara JE, de Almeida Matos FD, Castilho CV, Carim MJV, Cárdenas López D, Sabatier D, Irume MV, Martins MP, Guimarães JRDS, Bánki OS, Piedade MTF, Ramos JF, Luize BG, Novo EMML, Núñez Vargas P, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Demarchi LO, Honorio Coronado EN, Monteagudo Mendoza A, Montero JC, Schöngart J, Feldpausch TR, Quaresma AC, Aymard C GA, Baraloto C, Castaño Arboleda N, Engel J, Petronelli P, Zartman CE, Killeen TJ, Marimon BS, Marimon-Junior BH, Schietti J, Sousa TR, Vasquez R, Rincón LM, Berenguer E, Ferreira J, Mostacedo B, do Amaral DD, Castellanos H, de Medeiros MB, Andrade A, Camargo JL, Farias ES, Magalhães JLL, Mendonça Nascimento HE, de Queiroz HL, Brienen R, Cardenas Revilla JD, Stevenson PR, Araujo-Murakami A, Barçante Ladvocat Cintra B, Feitosa YO, Barbosa FR, Carpanedo RS, Duivenvoorden JF, de Noronha JDC, Rodrigues DJ, Mogollón HF, Ferreira LV, Householder JE, Lozada JR, Comiskey JA, Draper FC, de Toledo JJ, Damasco G, Dávila N, García-Villacorta R, Lopes A, Cornejo Valverde F, Alonso A, Dallmeier F, Gomes VHF, Jimenez EM, Neill D, Peñuela Mora MC, de Aguiar DPP, Arroyo L, Antunes Carvalho F, Coelho de Souza F, Feeley KJ, Gribel R, Pansonato MP, Ríos Paredes M, Brasil da Silva I, Ferreira MJ, Fine PVA, Fonty É, Guedes MC, Licona JC, Pennington T, Peres CA, Villa Zegarra BE, Parada GA, Pardo Molina G, Vos VA, Cerón C, Maas P, Silveira M, Stropp J, Thomas R, Baker TR, Daly D, Huamantupa-Chuquimaco I, Vieira ICG, Weiss Albuquerque B, Fuentes A, Klitgaard B, Marcelo-Peña JL, Silman MR, Tello JS, Vriesendorp C, Chave J, Di Fiore A, Hilário RR, Phillips JF, Rivas-Torres G, von Hildebrand P, Pereira LO, Barbosa EM, de Matos Bonates LC, Doza HPD, Zárate Gómez R, Gallardo Gonzales GP, Gonzales T, Malhi Y, de Andrade Miranda IP, Mozombite Pinto LF, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Zent EL, Zent S, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Galbraith D, Holmgren M, Kalamandeen M, Lobo G, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Rocha M, Scudeller VV, Sierra R, Tirado M, van der Heijden G, Vilanova Torre E, Ahuite Reategui MA, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Urrego Giraldo LE, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Garcia-Cabrera K, Hernandez L, Palacios Cuenca W, Pansini S, Pauletto D, Ramirez Arevalo F, Sampaio AF, Valenzuela Gamarra L, and Aragão LEOC

Subjects
Humans, Brazil, Forests, Archaeology
Abstract

Indigenous societies are known to have occupied the Amazon basin for more than 12,000 years, but the scale of their influence on Amazonian forests remains uncertain. We report the discovery, using LIDAR (light detection and ranging) information from across the basin, of 24 previously undetected pre-Columbian earthworks beneath the forest canopy. Modeled distribution and abundance of large-scale archaeological sites across Amazonia suggest that between 10,272 and 23,648 sites remain to be discovered and that most will be found in the southwest. We also identified 53 domesticated tree species significantly associated with earthwork occurrence probability, likely suggesting past management practices. Closed-canopy forests across Amazonia are likely to contain thousands of undiscovered archaeological sites around which pre-Columbian societies actively modified forests, a discovery that opens opportunities for better understanding the magnitude of ancient human influence on Amazonia and its current state.

Published
2023
Full Text
View/download PDF

18. Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients.

Author

Qiu T, Aravena MC, Ascoli D, Bergeron Y, Bogdziewicz M, Boivin T, Bonal R, Caignard T, Cailleret M, Calama R, Calderon SD, Camarero JJ, Chang-Yang CH, Chave J, Chianucci F, Courbaud B, Cutini A, Das AJ, Delpierre N, Delzon S, Dietze M, Dormont L, Espelta JM, Fahey TJ, Farfan-Rios W, Franklin JF, Gehring CA, Gilbert GS, Gratzer G, Greenberg CH, Guignabert A, Guo Q, Hacket-Pain A, Hampe A, Han Q, Holik J, Hoshizaki K, Ibanez I, Johnstone JF, Journé V, Kitzberger T, Knops JMH, Kunstler G, Kurokawa H, Lageard JGA, LaMontagne JM, Lefevre F, Leininger T, Limousin JM, Lutz JA, Macias D, Marell A, McIntire EJB, Moore CM, Moran E, Motta R, Myers JA, Nagel TA, Naoe S, Noguchi M, Oguro M, Parmenter R, Pearse IS, Perez-Ramos IM, Piechnik L, Podgorski T, Poulsen J, Redmond MD, Reid CD, Rodman KC, Rodriguez-Sanchez F, Samonil P, Sanguinetti JD, Scher CL, Seget B, Sharma S, Shibata M, Silman M, Steele MA, Stephenson NL, Straub JN, Sutton S, Swenson JJ, Swift M, Thomas PA, Uriarte M, Vacchiano G, Whipple AV, Whitham TG, Wion AP, Wright SJ, Zhu K, Zimmerman JK, Zywiec M, and Clark JS

Subjects
Fertility, Seeds, Satiation, Trees, Reproduction
Abstract

The benefits of masting (volatile, quasi-synchronous seed production at lagged intervals) include satiation of seed predators, but these benefits come with a cost to mutualist pollen and seed dispersers. If the evolution of masting represents a balance between these benefits and costs, we expect mast avoidance in species that are heavily reliant on mutualist dispersers. These effects play out in the context of variable climate and site fertility among species that vary widely in nutrient demand. Meta-analyses of published data have focused on variation at the population scale, thus omitting periodicity within trees and synchronicity between trees. From raw data on 12 million tree-years worldwide, we quantified three components of masting that have not previously been analysed together: (i) volatility, defined as the frequency-weighted year-to-year variation; (ii) periodicity, representing the lag between high-seed years; and (iii) synchronicity, indicating the tree-to-tree correlation. Results show that mast avoidance (low volatility and low synchronicity) by species dependent on mutualist dispersers explains more variation than any other effect. Nutrient-demanding species have low volatility, and species that are most common on nutrient-rich and warm/wet sites exhibit short periods. The prevalence of masting in cold/dry sites coincides with climatic conditions where dependence on vertebrate dispersers is less common than in the wet tropics. Mutualist dispersers neutralize the benefits of masting for predator satiation, further balancing the effects of climate, site fertility and nutrient demands., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2023
Full Text
View/download PDF

19. Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology.

Author

Pos E, de Souza Coelho L, de Andrade Lima Filho D, Salomão RP, Amaral IL, de Almeida Matos FD, Castilho CV, Phillips OL, Guevara JE, de Jesus Veiga Carim M, López DC, Magnusson WE, Wittmann F, Irume MV, Martins MP, Sabatier D, da Silva Guimarães JR, Molino JF, Bánki OS, Piedade MTF, Pitman NCA, Mendoza AM, Ramos JF, Hawes JE, Almeida EJ, Barbosa LF, Cavalheiro L, Dos Santos MCV, Luize BG, de Leão Novo EMM, Vargas PN, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Coronado ENH, Montero JC, Marimon BS, Marimon-Junior BH, Feldpausch TR, Duque A, Baraloto C, Arboleda NC, Engel J, Petronelli P, Zartman CE, Killeen TJ, Vasquez R, Mostacedo B, Assis RL, Schöngart J, Castellanos H, de Medeiros MB, Simon MF, Andrade A, Camargo JL, Demarchi LO, Laurance WF, Laurance SGW, de Sousa Farias E, Lopes MA, Magalhães JLL, Nascimento HEM, de Queiroz HL, Aymard GAC, Brienen R, Revilla JDC, Costa FRC, Quaresma A, Vieira ICG, Cintra BBL, Stevenson PR, Feitosa YO, Duivenvoorden JF, Mogollón HF, Ferreira LV, Comiskey JA, Draper F, de Toledo JJ, Damasco G, Dávila N, García-Villacorta R, Lopes A, Vicentini A, Noronha JC, Barbosa FR, de Sá Carpanedo R, Emilio T, Levis C, de Jesus Rodrigues D, Schietti J, Souza P, Alonso A, Dallmeier F, Gomes VHF, Lloyd J, Neill D, de Aguiar DPP, Araujo-Murakami A, Arroyo L, Carvalho FA, de Souza FC, do Amaral DD, Feeley KJ, Gribel R, Pansonato MP, Barlow J, Berenguer E, Ferreira J, Fine PVA, Guedes MC, Jimenez EM, Licona JC, Mora MCP, Peres CA, Zegarra BEV, Cerón C, Henkel TW, Maas P, Silveira M, Stropp J, Thomas-Caesar R, Baker TR, Daly D, Dexter KG, Householder JE, Huamantupa-Chuquimaco I, Pennington T, Paredes MR, Fuentes A, Pena JLM, Silman MR, Tello JS, Chave J, Valverde FC, Di Fiore A, Hilário RR, Phillips JF, Rivas-Torres G, van Andel TR, von Hildebrand P, Barbosa EM, de Matos Bonates LC, Doza HPD, Fonty É, Gómez RZ, Gonzales T, Gonzales GPG, Guillaumet JL, Hoffman B, Junqueira AB, Malhi Y, de Andrade Miranda IP, Pinto LFM, Prieto A, Rudas A, Ruschel AR, Silva N, Vela CIA, Vos VA, Zent EL, Zent S, Albuquerque BW, Cano A, Correa DF, Costa JBP, Flores BM, Holmgren M, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Rocha M, Scudeller VV, Sierra R, Tirado M, Umaña MN, van der Heijden G, Torre EV, Vriesendorp C, Wang O, Young KR, Reategui MAA, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Torres-Lezama A, Giraldo LEU, Villarroel D, Zagt R, Alexiades MN, Garcia-Cabrera K, Hernandez L, Milliken W, Cuenca WP, Pansini S, Pauletto D, Arevalo FR, Sampaio AF, Sandoval EHV, Gamarra LV, Boenisch G, Kattge J, Kraft N, Levesley A, Melgaço K, Pickavance G, Poorter L, and Ter Steege H

Subjects
Entropy, Forests, Plants, Ecology, Tropical Climate, Ecosystem, Biodiversity
Abstract

In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics., (© 2023. The Author(s).)

Published
2023
Full Text
View/download PDF

20. Functional susceptibility of tropical forests to climate change.

Author

Aguirre-Gutiérrez J, Berenguer E, Oliveras Menor I, Bauman D, Corral-Rivas JJ, Nava-Miranda MG, Both S, Ndong JE, Ondo FE, Bengone NN, Mihinhou V, Dalling JW, Heineman K, Figueiredo A, González-M R, Norden N, Hurtado-M AB, González D, Salgado-Negret B, Reis SM, Moraes de Seixas MM, Farfan-Rios W, Shenkin A, Riutta T, Girardin CAJ, Moore S, Abernethy K, Asner GP, Bentley LP, Burslem DFRP, Cernusak LA, Enquist BJ, Ewers RM, Ferreira J, Jeffery KJ, Joly CA, Marimon-Junior BH, Martin RE, Morandi PS, Phillips OL, Bennett AC, Lewis SL, Quesada CA, Marimon BS, Kissling WD, Silman M, Teh YA, White LJT, Salinas N, Coomes DA, Barlow J, Adu-Bredu S, and Malhi Y

Subjects
Forests, Trees, Water, Climate Change, Ecosystem
Abstract

Tropical forests are some of the most biodiverse ecosystems in the world, yet their functioning is threatened by anthropogenic disturbances and climate change. Global actions to conserve tropical forests could be enhanced by having local knowledge on the forests' functional diversity and functional redundancy as proxies for their capacity to respond to global environmental change. Here we create estimates of plant functional diversity and redundancy across the tropics by combining a dataset of 16 morphological, chemical and photosynthetic plant traits sampled from 2,461 individual trees from 74 sites distributed across four continents together with local climate data for the past half century. Our findings suggest a strong link between climate and functional diversity and redundancy with the three trait groups responding similarly across the tropics and climate gradient. We show that drier tropical forests are overall less functionally diverse than wetter forests and that functional redundancy declines with increasing soil water and vapour pressure deficits. Areas with high functional diversity and high functional redundancy tend to better maintain ecosystem functioning, such as aboveground biomass, after extreme weather events. Our predictions suggest that the lower functional diversity and lower functional redundancy of drier tropical forests, in comparison with wetter forests, may leave them more at risk of shifting towards alternative states in face of further declines in water availability across tropical regions., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2022
Full Text
View/download PDF

21. Globally, tree fecundity exceeds productivity gradients.

Author

Journé V, Andrus R, Aravena MC, Ascoli D, Berretti R, Berveiller D, Bogdziewicz M, Boivin T, Bonal R, Caignard T, Calama R, Camarero JJ, Chang-Yang CH, Courbaud B, Courbet F, Curt T, Das AJ, Daskalakou E, Davi H, Delpierre N, Delzon S, Dietze M, Donoso Calderon S, Dormont L, Maria Espelta J, Fahey TJ, Farfan-Rios W, Gehring CA, Gilbert GS, Gratzer G, Greenberg CH, Guo Q, Hacket-Pain A, Hampe A, Han Q, Lambers JHR, Hoshizaki K, Ibanez I, Johnstone JF, Kabeya D, Kays R, Kitzberger T, Knops JMH, Kobe RK, Kunstler G, Lageard JGA, LaMontagne JM, Leininger T, Limousin JM, Lutz JA, Macias D, McIntire EJB, Moore CM, Moran E, Motta R, Myers JA, Nagel TA, Noguchi K, Ourcival JM, Parmenter R, Pearse IS, Perez-Ramos IM, Piechnik L, Poulsen J, Poulton-Kamakura R, Qiu T, Redmond MD, Reid CD, Rodman KC, Rodriguez-Sanchez F, Sanguinetti JD, Scher CL, Marle HSV, Seget B, Sharma S, Silman M, Steele MA, Stephenson NL, Straub JN, Swenson JJ, Swift M, Thomas PA, Uriarte M, Vacchiano G, Veblen TT, Whipple AV, Whitham TG, Wright B, Wright SJ, Zhu K, Zimmerman JK, Zlotin R, Zywiec M, and Clark JS

Subjects
Biodiversity, Climate, Fertility, Seeds, Forests, Trees
Abstract

Lack of tree fecundity data across climatic gradients precludes the analysis of how seed supply contributes to global variation in forest regeneration and biotic interactions responsible for biodiversity. A global synthesis of raw seedproduction data shows a 250-fold increase in seed abundance from cold-dry to warm-wet climates, driven primarily by a 100-fold increase in seed production for a given tree size. The modest (threefold) increase in forest productivity across the same climate gradient cannot explain the magnitudes of these trends. The increase in seeds per tree can arise from adaptive evolution driven by intense species interactions or from the direct effects of a warm, moist climate on tree fecundity. Either way, the massive differences in seed supply ramify through food webs potentially explaining a disproportionate role for species interactions in the wet tropics., (© 2022 John Wiley & Sons Ltd.)

Published
2022
Full Text
View/download PDF

22. Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery.

Author

Qiu T, Andrus R, Aravena MC, Ascoli D, Bergeron Y, Berretti R, Berveiller D, Bogdziewicz M, Boivin T, Bonal R, Bragg DC, Caignard T, Calama R, Camarero JJ, Chang-Yang CH, Cleavitt NL, Courbaud B, Courbet F, Curt T, Das AJ, Daskalakou E, Davi H, Delpierre N, Delzon S, Dietze M, Calderon SD, Dormont L, Espelta J, Fahey TJ, Farfan-Rios W, Gehring CA, Gilbert GS, Gratzer G, Greenberg CH, Guo Q, Hacket-Pain A, Hampe A, Han Q, Hille Ris Lambers J, Hoshizaki K, Ibanez I, Johnstone JF, Journé V, Kabeya D, Kilner CL, Kitzberger T, Knops JMH, Kobe RK, Kunstler G, Lageard JGA, LaMontagne JM, Ledwon M, Lefevre F, Leininger T, Limousin JM, Lutz JA, Macias D, McIntire EJB, Moore CM, Moran E, Motta R, Myers JA, Nagel TA, Noguchi K, Ourcival JM, Parmenter R, Pearse IS, Perez-Ramos IM, Piechnik L, Poulsen J, Poulton-Kamakura R, Redmond MD, Reid CD, Rodman KC, Rodriguez-Sanchez F, Sanguinetti JD, Scher CL, Schlesinger WH, Schmidt Van Marle H, Seget B, Sharma S, Silman M, Steele MA, Stephenson NL, Straub JN, Sun IF, Sutton S, Swenson JJ, Swift M, Thomas PA, Uriarte M, Vacchiano G, Veblen TT, Whipple AV, Whitham TG, Wion AP, Wright B, Wright SJ, Zhu K, Zimmerman JK, Zlotin R, Zywiec M, and Clark JS

Subjects
Fertility, Reproduction, Trees, Forests, Seeds physiology
Abstract

The relationships that control seed production in trees are fundamental to understanding the evolution of forest species and their capacity to recover from increasing losses to drought, fire, and harvest. A synthesis of fecundity data from 714 species worldwide allowed us to examine hypotheses that are central to quantifying reproduction, a foundation for assessing fitness in forest trees. Four major findings emerged. First, seed production is not constrained by a strict trade-off between seed size and numbers. Instead, seed numbers vary over ten orders of magnitude, with species that invest in large seeds producing more seeds than expected from the 1:1 trade-off. Second, gymnosperms have lower seed production than angiosperms, potentially due to their extra investments in protective woody cones. Third, nutrient-demanding species, indicated by high foliar phosphorus concentrations, have low seed production. Finally, sensitivity of individual species to soil fertility varies widely, limiting the response of community seed production to fertility gradients. In combination, these findings can inform models of forest response that need to incorporate reproductive potential., (© 2022. The Author(s).)

Published
2022
Full Text
View/download PDF

23. Is there tree senescence? The fecundity evidence.

Author

Qiu T, Aravena MC, Andrus R, Ascoli D, Bergeron Y, Berretti R, Bogdziewicz M, Boivin T, Bonal R, Caignard T, Calama R, Julio Camarero J, Clark CJ, Courbaud B, Delzon S, Donoso Calderon S, Farfan-Rios W, Gehring CA, Gilbert GS, Greenberg CH, Guo Q, Hille Ris Lambers J, Hoshizaki K, Ibanez I, Journé V, Kilner CL, Kobe RK, Koenig WD, Kunstler G, LaMontagne JM, Ledwon M, Lutz JA, Motta R, Myers JA, Nagel TA, Nuñez CL, Pearse IS, Piechnik Ł, Poulsen JR, Poulton-Kamakura R, Redmond MD, Reid CD, Rodman KC, Scher CL, Schmidt Van Marle H, Seget B, Sharma S, Silman M, Swenson JJ, Swift M, Uriarte M, Vacchiano G, Veblen TT, Whipple AV, Whitham TG, Wion AP, Wright SJ, Zhu K, Zimmerman JK, Żywiec M, and Clark JS

Subjects
Forests, Fertility, Models, Biological, Regeneration, Trees growth & development
Abstract

Despite its importance for forest regeneration, food webs, and human economies, changes in tree fecundity with tree size and age remain largely unknown. The allometric increase with tree diameter assumed in ecological models would substantially overestimate seed contributions from large trees if fecundity eventually declines with size. Current estimates are dominated by overrepresentation of small trees in regression models. We combined global fecundity data, including a substantial representation of large trees. We compared size-fecundity relationships against traditional allometric scaling with diameter and two models based on crown architecture. All allometric models fail to describe the declining rate of increase in fecundity with diameter found for 80% of 597 species in our analysis. The strong evidence of declining fecundity, beyond what can be explained by crown architectural change, is consistent with physiological decline. A downward revision of projected fecundity of large trees can improve the next generation of forest dynamic models., Competing Interests: Competing interest statement: C.J.C. and J.C. are coauthors on a 2020 article; S.J.W. and J.C. are coauthors on a 2019 article; J.R.P. and J.C. are coauthors on a 2020 article; M.U., J.K.Z., and J.C. are coauthors on two 2019 articles; and M. Silman, W.F.R., and J.C. are coauthors on 2018, 2019, and 2020 articles.

Published
2021
Full Text
View/download PDF

24. From a crisis to an opportunity: Eight insights for doing science in the COVID-19 era and beyond.

Author

Chacón-Labella J, Boakye M, Enquist BJ, Farfan-Rios W, Gya R, Halbritter AH, Middleton SL, von Oppen J, Pastor-Ploskonka S, Strydom T, Vandvik V, and Geange SR

Abstract

The COVID-19 crisis has forced researchers in Ecology to change the way we work almost overnight. Nonetheless, the pandemic has provided us with several novel components for a new way of conducting science. In this perspective piece, we summarize eight central insights that are helping us, as early career researchers, navigate the uncertainties, fears, and challenges of advancing science during the COVID-19 pandemic. We highlight how innovative, collaborative, and often Open Science-driven developments that have arisen from this crisis can form a blueprint for a community reinvention in academia. Our insights include personal approaches to managing our new reality, maintaining capacity to focus and resilience in our projects, and a variety of tools that facilitate remote collaboration. We also highlight how, at a community level, we can take advantage of online communication platforms for gaining accessibility to conferences and meetings, and for maintaining research networks and community engagement while promoting a more diverse and inclusive community. Overall, we are confident that these practices can support a more inclusive and kinder scientific culture for the longer term., Competing Interests: The authors declare no competing interests., (© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)

Published
2020
Full Text
View/download PDF

25. Next-generation field courses: Integrating Open Science and online learning.

Author

Geange SR, von Oppen J, Strydom T, Boakye M, Gauthier TJ, Gya R, Halbritter AH, Jessup LH, Middleton SL, Navarro J, Pierfederici ME, Chacón-Labella J, Cotner S, Farfan-Rios W, Maitner BS, Michaletz ST, Telford RJ, Enquist BJ, and Vandvik V

Abstract

As Open Science practices become more commonplace, there is a need for the next generation of scientists to be well versed in these aspects of scientific research. Yet, many training opportunities for early career researchers (ECRs) could better emphasize or integrate Open Science elements. Field courses provide opportunities for ECRs to apply theoretical knowledge, practice new methodological approaches, and gain an appreciation for the challenges of real-life research, and could provide an excellent platform for integrating training in Open Science practices. Our recent experience, as primarily ECRs engaged in a field course interrupted by COVID-19, led us to reflect on the potential to enhance learning outcomes in field courses by integrating Open Science practices and online learning components. Specifically, we highlight the opportunity for field courses to align teaching activities with the recent developments and trends in how we conduct research, including training in: publishing registered reports, collecting data using standardized methods, adopting high-quality data documentation, managing data through reproducible workflows, and sharing and publishing data through appropriate channels. We also discuss how field courses can use online tools to optimize time in the field, develop open access resources, and cultivate collaborations. By integrating these elements, we suggest that the next generation of field courses will offer excellent arenas for participants to adopt Open Science practices., Competing Interests: None declared., (© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)

Published
2020
Full Text
View/download PDF

26. Biased-corrected richness estimates for the Amazonian tree flora.

Author

Ter Steege H, Prado PI, Lima RAF, Pos E, de Souza Coelho L, de Andrade Lima Filho D, Salomão RP, Amaral IL, de Almeida Matos FD, Castilho CV, Phillips OL, Guevara JE, de Jesus Veiga Carim M, Cárdenas López D, Magnusson WE, Wittmann F, Martins MP, Sabatier D, Irume MV, da Silva Guimarães JR, Molino JF, Bánki OS, Piedade MTF, Pitman NCA, Ramos JF, Monteagudo Mendoza A, Venticinque EM, Luize BG, Núñez Vargas P, Silva TSF, de Leão Novo EMM, Reis NFC, Terborgh J, Manzatto AG, Casula KR, Honorio Coronado EN, Montero JC, Duque A, Costa FRC, Castaño Arboleda N, Schöngart J, Zartman CE, Killeen TJ, Marimon BS, Marimon-Junior BH, Vasquez R, Mostacedo B, Demarchi LO, Feldpausch TR, Engel J, Petronelli P, Baraloto C, Assis RL, Castellanos H, Simon MF, de Medeiros MB, Quaresma A, Laurance SGW, Rincón LM, Andrade A, Sousa TR, Camargo JL, Schietti J, Laurance WF, de Queiroz HL, Nascimento HEM, Lopes MA, de Sousa Farias E, Magalhães JLL, Brienen R, Aymard C GA, Revilla JDC, Vieira ICG, Cintra BBL, Stevenson PR, Feitosa YO, Duivenvoorden JF, Mogollón HF, Araujo-Murakami A, Ferreira LV, Lozada JR, Comiskey JA, de Toledo JJ, Damasco G, Dávila N, Lopes A, García-Villacorta R, Draper F, Vicentini A, Cornejo Valverde F, Lloyd J, Gomes VHF, Neill D, Alonso A, Dallmeier F, de Souza FC, Gribel R, Arroyo L, Carvalho FA, de Aguiar DPP, do Amaral DD, Pansonato MP, Feeley KJ, Berenguer E, Fine PVA, Guedes MC, Barlow J, Ferreira J, Villa B, Peñuela Mora MC, Jimenez EM, Licona JC, Cerón C, Thomas R, Maas P, Silveira M, Henkel TW, Stropp J, Paredes MR, Dexter KG, Daly D, Baker TR, Huamantupa-Chuquimaco I, Milliken W, Pennington T, Tello JS, Pena JLM, Peres CA, Klitgaard B, Fuentes A, Silman MR, Di Fiore A, von Hildebrand P, Chave J, van Andel TR, Hilário RR, Phillips JF, Rivas-Torres G, Noronha JC, Prieto A, Gonzales T, de Sá Carpanedo R, Gonzales GPG, Gómez RZ, de Jesus Rodrigues D, Zent EL, Ruschel AR, Vos VA, Fonty É, Junqueira AB, Doza HPD, Hoffman B, Zent S, Barbosa EM, Malhi Y, de Matos Bonates LC, de Andrade Miranda IP, Silva N, Barbosa FR, Vela CIA, Pinto LFM, Rudas A, Albuquerque BW, Umaña MN, Carrero Márquez YA, van der Heijden G, Young KR, Tirado M, Correa DF, Sierra R, Costa JBP, Rocha M, Vilanova Torre E, Wang O, Oliveira AA, Kalamandeen M, Vriesendorp C, Ramirez-Angulo H, Holmgren M, Nascimento MT, Galbraith D, Flores BM, Scudeller VV, Cano A, Ahuite Reategui MA, Mesones I, Baider C, Mendoza C, Zagt R, Urrego Giraldo LE, Ferreira C, Villarroel D, Linares-Palomino R, Farfan-Rios W, Farfan-Rios W, Casas LF, Cárdenas S, Balslev H, Torres-Lezama A, Alexiades MN, Garcia-Cabrera K, Valenzuela Gamarra L, Valderrama Sandoval EH, Ramirez Arevalo F, Hernandez L, Sampaio AF, Pansini S, Palacios Cuenca W, de Oliveira EA, Pauletto D, Levesley A, Melgaço K, and Pickavance G

Subjects
Brazil, Biodiversity, Classification methods, Forests, Rivers, Trees classification
Abstract

Amazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show that the species abundance distribution of Amazonia is best approximated by a logseries with aggregated individuals, where aggregation increases with rarity. By averaging several methods to estimate total richness, we confirm that over 15,000 tree species are expected to occur in Amazonia. We also show that using ten times the number of plots would result in an increase to just ~50% of those 15,000 estimated species. To get a more complete sample of all tree species, rigorous field campaigns may be needed but the number of trees in Amazonia will remain an estimate for years to come.

Published
2020
Full Text
View/download PDF

27. Rarity of monodominance in hyperdiverse Amazonian forests.

Author

Ter Steege H, Henkel TW, Helal N, Marimon BS, Marimon-Junior BH, Huth A, Groeneveld J, Sabatier D, Coelho LS, Filho DAL, Salomão RP, Amaral IL, Matos FDA, Castilho CV, Phillips OL, Guevara JE, Carim MJV, Cárdenas López D, Magnusson WE, Wittmann F, Irume MV, Martins MP, Guimarães JRDS, Molino JF, Bánki OS, Piedade MTF, Pitman NCA, Mendoza AM, Ramos JF, Luize BG, Moraes de Leão Novo EM, Núñez Vargas P, Silva TSF, Venticinque EM, Manzatto AG, Reis NFC, Terborgh J, Casula KR, Honorio Coronado EN, Montero JC, Feldpausch TR, Duque A, Costa FRC, Arboleda NC, Schöngart J, Killeen TJ, Vasquez R, Mostacedo B, Demarchi LO, Assis RL, Baraloto C, Engel J, Petronelli P, Castellanos H, de Medeiros MB, Quaresma A, Simon MF, Andrade A, Camargo JL, Laurance SGW, Laurance WF, Rincón LM, Schietti J, Sousa TR, de Sousa Farias E, Lopes MA, Magalhães JLL, Mendonça Nascimento HE, Lima de Queiroz H, Aymard C GA, Brienen R, Revilla JDC, Vieira ICG, Cintra BBL, Stevenson PR, Feitosa YO, Duivenvoorden JF, Mogollón HF, Araujo-Murakami A, Ferreira LV, Lozada JR, Comiskey JA, de Toledo JJ, Damasco G, Dávila N, Draper F, García-Villacorta R, Lopes A, Vicentini A, Alonso A, Dallmeier F, Gomes VHF, Lloyd J, Neill D, de Aguiar DPP, Arroyo L, Carvalho FA, de Souza FC, do Amaral DD, Feeley KJ, Gribel R, Pansonato MP, Barlow J, Berenguer E, Ferreira J, Fine PVA, Guedes MC, Jimenez EM, Licona JC, Peñuela Mora MC, Villa B, Cerón C, Maas P, Silveira M, Stropp J, Thomas R, Baker TR, Daly D, Dexter KG, Huamantupa-Chuquimaco I, Milliken W, Pennington T, Ríos Paredes M, Fuentes A, Klitgaard B, Pena JLM, Peres CA, Silman MR, Tello JS, Chave J, Cornejo Valverde F, Di Fiore A, Hilário RR, Phillips JF, Rivas-Torres G, van Andel TR, von Hildebrand P, Noronha JC, Barbosa EM, Barbosa FR, de Matos Bonates LC, Carpanedo RS, Dávila Doza HP, Fonty É, GómeZárate Z R, Gonzales T, Gallardo Gonzales GP, Hoffman B, Junqueira AB, Malhi Y, Miranda IPA, Pinto LFM, Prieto A, Rodrigues DJ, Rudas A, Ruschel AR, Silva N, Vela CIA, Vos VA, Zent EL, Zent S, Weiss Albuquerque B, Cano A, Carrero Márquez YA, Correa DF, Costa JBP, Flores BM, Galbraith D, Holmgren M, Kalamandeen M, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Rocha M, Scudeller VV, Sierra R, Tirado M, Umaña Medina MN, van der Heijden G, Vilanova Torre E, Vriesendorp C, Wang O, Young KR, Ahuite Reategui MA, Baider C, Balslev H, Cárdenas S, Casas LF, Farfan-Rios W, Ferreira C, Linares-Palomino R, Mendoza C, Mesones I, Torres-Lezama A, Giraldo LEU, Villarroel D, Zagt R, Alexiades MN, de Oliveira EA, Garcia-Cabrera K, Hernandez L, Palacios Cuenca W, Pansini S, Pauletto D, Ramirez Arevalo F, Sampaio AF, Sandoval EHV, Valenzuela Gamarra L, Levesley A, Pickavance G, and Melgaço K

Abstract

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors.

Published
2019
Full Text
View/download PDF

28. Bryophyte stable isotope composition, diversity and biomass define tropical montane cloud forest extent.

Author

Horwath AB, Royles J, Tito R, Gudiño JA, Salazar Allen N, Farfan-Rios W, Rapp JM, Silman MR, Malhi Y, Swamy V, Latorre Farfan JP, and Griffiths H

Subjects
Altitude, Forests, Peru, Biodiversity, Biomass, Bryophyta chemistry, Carbon Isotopes analysis, Oxygen Isotopes analysis
Abstract

Liverworts and mosses are a major component of the epiphyte flora of tropical montane forest ecosystems. Canopy access was used to analyse the distribution and vertical stratification of bryophyte epiphytes within tree crowns at nine forest sites across a 3400 m elevational gradient in Peru, from the Amazonian basin to the high Andes. The stable isotope compositions of bryophyte organic material ( 13 C/ 12 C and 18 O/ 16 O) are associated with surface water diffusive limitations and, along with C/N content, provide a generic index for the extent of cloud immersion. From lowland to cloud forest δ 13 C increased from -33‰ to -27‰, while δ 18 O increased from 16.3‰ to 18.0‰. Epiphytic bryophyte and associated canopy soil biomass in the cloud immersion zone was estimated at up to 45 t dry mass ha -1 , and overall water holding capacity was equivalent to a 20 mm precipitation event. The study emphasizes the importance of diverse bryophyte communities in sequestering carbon in threatened habitats, with stable isotope analysis allowing future elevational shifts in the cloud base associated with changes in climate to be tracked.

Published
2019
Full Text
View/download PDF

29. Global trait-environment relationships of plant communities.

Author

Bruelheide H, Dengler J, Purschke O, Lenoir J, Jiménez-Alfaro B, Hennekens SM, Botta-Dukát Z, Chytrý M, Field R, Jansen F, Kattge J, Pillar VD, Schrodt F, Mahecha MD, Peet RK, Sandel B, van Bodegom P, Altman J, Alvarez-Dávila E, Arfin Khan MAS, Attorre F, Aubin I, Baraloto C, Barroso JG, Bauters M, Bergmeier E, Biurrun I, Bjorkman AD, Blonder B, Čarni A, Cayuela L, Černý T, Cornelissen JHC, Craven D, Dainese M, Derroire G, De Sanctis M, Díaz S, Doležal J, Farfan-Rios W, Feldpausch TR, Fenton NJ, Garnier E, Guerin GR, Gutiérrez AG, Haider S, Hattab T, Henry G, Hérault B, Higuchi P, Hölzel N, Homeier J, Jentsch A, Jürgens N, Kącki Z, Karger DN, Kessler M, Kleyer M, Knollová I, Korolyuk AY, Kühn I, Laughlin DC, Lens F, Loos J, Louault F, Lyubenova MI, Malhi Y, Marcenò C, Mencuccini M, Müller JV, Munzinger J, Myers-Smith IH, Neill DA, Niinemets Ü, Orwin KH, Ozinga WA, Penuelas J, Pérez-Haase A, Petřík P, Phillips OL, Pärtel M, Reich PB, Römermann C, Rodrigues AV, Sabatini FM, Sardans J, Schmidt M, Seidler G, Silva Espejo JE, Silveira M, Smyth A, Sporbert M, Svenning JC, Tang Z, Thomas R, Tsiripidis I, Vassilev K, Violle C, Virtanen R, Weiher E, Welk E, Wesche K, Winter M, Wirth C, and Jandt U

Subjects
Forests, Grassland, Life History Traits, Plant Dispersal, Plants
Abstract

Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Published
2018
Full Text
View/download PDF

30. Species Distribution Modelling: Contrasting presence-only models with plot abundance data.

Author

Gomes VHF, IJff SD, Raes N, Amaral IL, Salomão RP, de Souza Coelho L, de Almeida Matos FD, Castilho CV, de Andrade Lima Filho D, López DC, Guevara JE, Magnusson WE, Phillips OL, Wittmann F, de Jesus Veiga Carim M, Martins MP, Irume MV, Sabatier D, Molino JF, Bánki OS, da Silva Guimarães JR, Pitman NCA, Piedade MTF, Mendoza AM, Luize BG, Venticinque EM, de Leão Novo EMM, Vargas PN, Silva TSF, Manzatto AG, Terborgh J, Reis NFC, Montero JC, Casula KR, Marimon BS, Marimon BH, Coronado ENH, Feldpausch TR, Duque A, Zartman CE, Arboleda NC, Killeen TJ, Mostacedo B, Vasquez R, Schöngart J, Assis RL, Medeiros MB, Simon MF, Andrade A, Laurance WF, Camargo JL, Demarchi LO, Laurance SGW, de Sousa Farias E, Nascimento HEM, Revilla JDC, Quaresma A, Costa FRC, Vieira ICG, Cintra BBL, Castellanos H, Brienen R, Stevenson PR, Feitosa Y, Duivenvoorden JF, Aymard C GA, Mogollón HF, Targhetta N, Comiskey JA, Vicentini A, Lopes A, Damasco G, Dávila N, García-Villacorta R, Levis C, Schietti J, Souza P, Emilio T, Alonso A, Neill D, Dallmeier F, Ferreira LV, Araujo-Murakami A, Praia D, do Amaral DD, Carvalho FA, de Souza FC, Feeley K, Arroyo L, Pansonato MP, Gribel R, Villa B, Licona JC, Fine PVA, Cerón C, Baraloto C, Jimenez EM, Stropp J, Engel J, Silveira M, Mora MCP, Petronelli P, Maas P, Thomas-Caesar R, Henkel TW, Daly D, Paredes MR, Baker TR, Fuentes A, Peres CA, Chave J, Pena JLM, Dexter KG, Silman MR, Jørgensen PM, Pennington T, Di Fiore A, Valverde FC, Phillips JF, Rivas-Torres G, von Hildebrand P, van Andel TR, Ruschel AR, Prieto A, Rudas A, Hoffman B, Vela CIA, Barbosa EM, Zent EL, Gonzales GPG, Doza HPD, de Andrade Miranda IP, Guillaumet JL, Pinto LFM, de Matos Bonates LC, Silva N, Gómez RZ, Zent S, Gonzales T, Vos VA, Malhi Y, Oliveira AA, Cano A, Albuquerque BW, Vriesendorp C, Correa DF, Torre EV, van der Heijden G, Ramirez-Angulo H, Ramos JF, Young KR, Rocha M, Nascimento MT, Medina MNU, Tirado M, Wang O, Sierra R, Torres-Lezama A, Mendoza C, Ferreira C, Baider C, Villarroel D, Balslev H, Mesones I, Giraldo LEU, Casas LF, Reategui MAA, Linares-Palomino R, Zagt R, Cárdenas S, Farfan-Rios W, Sampaio AF, Pauletto D, Sandoval EHV, Arevalo FR, Huamantupa-Chuquimaco I, Garcia-Cabrera K, Hernandez L, Gamarra LV, Alexiades MN, Pansini S, Cuenca WP, Milliken W, Ricardo J, Lopez-Gonzalez G, Pos E, and Ter Steege H

Subjects
Brazil, Chrysobalanaceae physiology, Fabaceae physiology, Humans, Polygonaceae physiology, Conservation of Natural Resources statistics & numerical data, Models, Statistical, Plant Dispersal physiology, Trees physiology
Abstract

Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species' area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments.

Published
2018
Full Text
View/download PDF

31. Incadendron : a new genus of Euphorbiaceae tribe Hippomaneae from the sub-Andean cordilleras of Ecuador and Peru.

Author

Wurdack KJ and Farfan-Rios W

Abstract

Incadendron esseri K.Wurdack & Farfan, gen. & sp. nov. , from the wet sub-Andean cordilleras of Ecuador (Cordillera del Cóndor) and Peru (Cusco, Oxapampa) is described and illustrated. This recently discovered large canopy tree with a narrow elevational range presents an unusual combination of rare morphological characters in Hippomaneae including mucilage-secreting sheathing stipules, conduplicate ptyxis, and large, woody fruits. The broader significance of these characters in Hippomaneae is discussed. The morphology and anatomy of Incadendron were investigated, highlighting its fruit similarities with Guiana Shield endemic Senefelderopsis , and the systematics value of ptyxis variation, which remains poorly studied for the family.

Published
2017
Full Text
View/download PDF

32. Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient.

Author

Fyllas NM, Bentley LP, Shenkin A, Asner GP, Atkin OK, Díaz S, Enquist BJ, Farfan-Rios W, Gloor E, Guerrieri R, Huasco WH, Ishida Y, Martin RE, Meir P, Phillips O, Salinas N, Silman M, Weerasinghe LK, Zaragoza-Castells J, and Malhi Y

Subjects
Plant Leaves, Trees, Tropical Climate, Ecosystem, Forests
Abstract

One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi-mechanistic model suggests that spatial variation in traits can potentially be used to estimate spatial variation in productivity at the landscape scale., (© 2017 John Wiley & Sons Ltd/CNRS.)

Published
2017
Full Text
View/download PDF

33. The variation of productivity and its allocation along a tropical elevation gradient: a whole carbon budget perspective.

Author

Malhi Y, Girardin CA, Goldsmith GR, Doughty CE, Salinas N, Metcalfe DB, Huaraca Huasco W, Silva-Espejo JE, Del Aguilla-Pasquell J, Farfán Amézquita F, Aragão LE, Guerrieri R, Ishida FY, Bahar NH, Farfan-Rios W, Phillips OL, Meir P, and Silman M

Subjects
Autotrophic Processes, Carbon Cycle, Photosynthesis, Altitude, Carbon metabolism, Forests, Tropical Climate
Abstract

Why do forest productivity and biomass decline with elevation? To address this question, research to date generally has focused on correlative approaches describing changes in woody growth and biomass with elevation. We present a novel, mechanistic approach to this question by quantifying the autotrophic carbon budget in 16 forest plots along a 3300 m elevation transect in Peru. Low growth rates at high elevations appear primarily driven by low gross primary productivity (GPP), with little shift in either carbon use efficiency (CUE) or allocation of net primary productivity (NPP) between wood, fine roots and canopy. The lack of trend in CUE implies that the proportion of photosynthate allocated to autotrophic respiration is not sensitive to temperature. Rather than a gradual linear decline in productivity, there is some limited but nonconclusive evidence of a sharp transition in NPP between submontane and montane forests, which may be caused by cloud immersion effects within the cloud forest zone. Leaf-level photosynthetic parameters do not decline with elevation, implying that nutrient limitation does not restrict photosynthesis at high elevations. Our data demonstrate the potential of whole carbon budget perspectives to provide a deeper understanding of controls on ecosystem functioning and carbon cycling., (© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.)

Published
2017
Full Text
View/download PDF

34. Ancient human disturbances may be skewing our understanding of Amazonian forests.

Author

McMichael CN, Matthews-Bird F, Farfan-Rios W, and Feeley KJ

Subjects
Biodiversity, Carbon Cycle, Environment, History, Ancient, Humans, Models, Biological, South America, Forests, Rainforest
Abstract

Although the Amazon rainforest houses much of Earth's biodiversity and plays a major role in the global carbon budget, estimates of tree biodiversity originate from fewer than 1,000 forest inventory plots, and estimates of carbon dynamics are derived from fewer than 200 recensus plots. It is well documented that the pre-European inhabitants of Amazonia actively transformed and modified the forest in many regions before their population collapse around 1491 AD; however, the impacts of these ancient disturbances remain entirely unaccounted for in the many highly influential studies using Amazonian forest plots. Here we examine whether Amazonian forest inventory plot locations are spatially biased toward areas with high probability of ancient human impacts. Our analyses reveal that forest inventory plots, and especially forest recensus plots, in all regions of Amazonia are located disproportionately near archaeological evidence and in areas likely to have ancient human impacts. Furthermore, regions of the Amazon that are relatively oversampled with inventory plots also contain the highest values of predicted ancient human impacts. Given the long lifespan of Amazonian trees, many forest inventory and recensus sites may still be recovering from past disturbances, potentially skewing our interpretations of forest dynamics and our understanding of how these forests are responding to global change. Empirical data on the human history of forest inventory sites are crucial for determining how past disturbances affect modern patterns of forest composition and carbon flux in Amazonian forests., Competing Interests: The authors declare no conflict of interest.

Published
2017
Full Text
View/download PDF

35. Estimating the global conservation status of more than 15,000 Amazonian tree species.

Author

Ter Steege H, Pitman NC, Killeen TJ, Laurance WF, Peres CA, Guevara JE, Salomão RP, Castilho CV, Amaral IL, de Almeida Matos FD, de Souza Coelho L, Magnusson WE, Phillips OL, de Andrade Lima Filho D, de Jesus Veiga Carim M, Irume MV, Martins MP, Molino JF, Sabatier D, Wittmann F, López DC, da Silva Guimarães JR, Mendoza AM, Vargas PN, Manzatto AG, Reis NF, Terborgh J, Casula KR, Montero JC, Feldpausch TR, Honorio Coronado EN, Montoya AJ, Zartman CE, Mostacedo B, Vasquez R, Assis RL, Medeiros MB, Simon MF, Andrade A, Camargo JL, Laurance SG, Nascimento HE, Marimon BS, Marimon BH Jr, Costa F, Targhetta N, Vieira IC, Brienen R, Castellanos H, Duivenvoorden JF, Mogollón HF, Piedade MT, Aymard C GA, Comiskey JA, Damasco G, Dávila N, García-Villacorta R, Diaz PR, Vincentini A, Emilio T, Levis C, Schietti J, Souza P, Alonso A, Dallmeier F, Ferreira LV, Neill D, Araujo-Murakami A, Arroyo L, Carvalho FA, Souza FC, do Amaral DD, Gribel R, Luize BG, Pansonato MP, Venticinque E, Fine P, Toledo M, Baraloto C, Cerón C, Engel J, Henkel TW, Jimenez EM, Maas P, Mora MC, Petronelli P, Revilla JD, Silveira M, Stropp J, Thomas-Caesar R, Baker TR, Daly D, Paredes MR, da Silva NF, Fuentes A, Jørgensen PM, Schöngart J, Silman MR, Arboleda NC, Cintra BB, Valverde FC, Di Fiore A, Phillips JF, van Andel TR, von Hildebrand P, Barbosa EM, de Matos Bonates LC, de Castro D, de Sousa Farias E, Gonzales T, Guillaumet JL, Hoffman B, Malhi Y, de Andrade Miranda IP, Prieto A, Rudas A, Ruschell AR, Silva N, Vela CI, Vos VA, Zent EL, Zent S, Cano A, Nascimento MT, Oliveira AA, Ramirez-Angulo H, Ramos JF, Sierra R, Tirado M, Medina MN, van der Heijden G, Torre EV, Vriesendorp C, Wang O, Young KR, Baider C, Balslev H, de Castro N, Farfan-Rios W, Ferreira C, Mendoza C, Mesones I, Torres-Lezama A, Giraldo LE, Villarroel D, Zagt R, Alexiades MN, Garcia-Cabrera K, Hernandez L, Huamantupa-Chuquimaco I, Milliken W, Cuenca WP, Pansini S, Pauletto D, Arevalo FR, Sampaio AF, Valderrama Sandoval EH, and Gamarra LV

Abstract

Estimates of extinction risk for Amazonian plant and animal species are rare and not often incorporated into land-use policy and conservation planning. We overlay spatial distribution models with historical and projected deforestation to show that at least 36% and up to 57% of all Amazonian tree species are likely to qualify as globally threatened under International Union for Conservation of Nature (IUCN) Red List criteria. If confirmed, these results would increase the number of threatened plant species on Earth by 22%. We show that the trends observed in Amazonia apply to trees throughout the tropics, and we predict that most of the world's >40,000 tropical tree species now qualify as globally threatened. A gap analysis suggests that existing Amazonian protected areas and indigenous territories will protect viable populations of most threatened species if these areas suffer no further degradation, highlighting the key roles that protected areas, indigenous peoples, and improved governance can play in preventing large-scale extinctions in the tropics in this century.

Published
2015
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results