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10 results on '"Parada-Gutierrez, A."'

1. Sensitivity of South American tropical forests to an extreme climate anomaly

Author

Bennett, Amy C, Rodrigues de Sousa, Thaiane, Monteagudo-Mendoza, Abel, Esquivel-Muelbert, Adriane, Morandi, Paulo S, Coelho de Souza, Fernanda, Castro, Wendeson, Duque, Luisa Fernanda, Flores Llampazo, Gerardo, Manoel dos Santos, Rubens, Ramos, Eliana, Vilanova Torre, Emilio, Alvarez-Davila, Esteban, Baker, Timothy R, Costa, Flávia RC, Lewis, Simon L, Marimon, Beatriz S, Schietti, Juliana, Burban, Benoît, Berenguer, Erika, Araujo-Murakami, Alejandro, Restrepo Correa, Zorayda, Lopez, Wilmar, Delgado Santana, Flávia, Viscarra, Laura Jessica, Elias, Fernando, Vasquez Martinez, Rodolfo, Marimon-Junior, Ben Hur, Galbraith, David, Sullivan, Martin JP, Emilio, Thaise, Prestes, Nayane CCS, Barlow, Jos, Alencar Fagundes, Nathalle Cristine, Almeida de Oliveira, Edmar, Alvarez Loayza, Patricia, Alves, Luciana F, Aparecida Vieira, Simone, Andrade Maia, Vinícius, Aragão, Luiz EOC, Arets, Eric JMM, Arroyo, Luzmila, Bánki, Olaf, Baraloto, Christopher, Barbosa Camargo, Plínio, Barroso, Jorcely, Bento da Silva, Wilder, Bonal, Damien, Borges Miranda Santos, Alisson, Brienen, Roel JW, Brown, Foster, Castilho, Carolina V, Cerruto Ribeiro, Sabina, Chama Moscoso, Victor, Chavez, Ezequiel, Comiskey, James A, Cornejo Valverde, Fernando, Dávila Cardozo, Nállarett, de Aguiar-Campos, Natália, de Oliveira Melo, Lia, del Aguila Pasquel, Jhon, Derroire, Géraldine, Disney, Mathias, do Socorro, Maria, Dourdain, Aurélie, Feldpausch, Ted R, Ferreira, Joice, Forni Martins, Valeria, Gardner, Toby, Gloor, Emanuel, Gutierrez Sibauty, Gloria, Guillen, René, Hase, Eduardo, Hérault, Bruno, Honorio Coronado, Eurídice N, Huaraca Huasco, Walter, Janovec, John P, Jimenez-Rojas, Eliana, Joly, Carlos, Kalamandeen, Michelle, Killeen, Timothy J, Lais Farrapo, Camila, Levesley, Aurora, Lizon Romano, Leon, Lopez Gonzalez, Gabriela, Maës dos Santos, Flavio Antonio, Magnusson, William E, Malhi, Yadvinder, Matias de Almeida Reis, Simone, Melgaço, Karina, Melo Cruz, Omar A, Mendoza Polo, Irina, Montañez, Tatiana, Morel, Jean Daniel, Núñez Vargas, M Percy, Oliveira de Araújo, Raimunda, Pallqui Camacho, Nadir C, Parada Gutierrez, Alexander, Pennington, Toby, and Pickavance, Georgia C

Subjects
Agricultural, Veterinary and Food Sciences, Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Forestry Sciences, Climate Action, Life on Land, Atmospheric Sciences, Physical Geography and Environmental Geoscience, Environmental Science and Management
Abstract

Abstract: The tropical forest carbon sink is known to be drought sensitive, but it is unclear which forests are the most vulnerable to extreme events. Forests with hotter and drier baseline conditions may be protected by prior adaptation, or more vulnerable because they operate closer to physiological limits. Here we report that forests in drier South American climates experienced the greatest impacts of the 2015–2016 El Niño, indicating greater vulnerability to extreme temperatures and drought. The long-term, ground-measured tree-by-tree responses of 123 forest plots across tropical South America show that the biomass carbon sink ceased during the event with carbon balance becoming indistinguishable from zero (−0.02 ± 0.37 Mg C ha−1 per year). However, intact tropical South American forests overall were no more sensitive to the extreme 2015–2016 El Niño than to previous less intense events, remaining a key defence against climate change as long as they are protected.

Published
2023

2. Evenness mediates the global relationship between forest productivity and richness

Author

Hordijk, Iris, Maynard, Daniel S., Hart, Simon P., Lidong, Mo, ter Steege, Hans, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Abegg, Meinrad, Adou Yao, C. Yves, Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio V., Esteban, Alvarez-Davila, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard C, Gerardo A., Baker, Timothy, Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Cazzolla Gatti, Roberto, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J., Clark, David B., Colletta, Gabriel, Coomes, David, Cornejo Valverde, Fernando, Corral-Rivas, Jose J., Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Iêda, Amaral, Dourdain, Aurélie, Nestor Laurier, Engone Obiang, Enquist, Brian, Eyre, Teresa, Fandohan, Adandé Belarmain, Fayle, Tom M., Ferreira, Leandro V., Feldpausch, Ted R., Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John, Hillers, Annika, Honorio Coronado, E. N., Honorio Coronado, Eurídice N., Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Bin Jung, Il, Imai, Nobuo, Jagodzinski, Andrzej M., Jaroszewicz, Bogdan, Johanssen, Vivian, Joly, Carlos A., Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah, Kepfer-Rojas, Sebastian, Keppel, G., Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy, Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon, Lu, Huicui, Lukina, Natalia, Maitner, Brian, Malhi, Yadvinder, Marcon, E., Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew Robert, Martin, Emanuel, Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Stanislaw, Miscicki, Mendoza, Abel Monteagudo, Moreno, Vanessa, Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, Maria G., Neill, David, Neldner, Victor, Nevenic, Radovan, Ngugi, Michael, Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena, Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Picard, Nicolas, Piedade, Maria Teresa, Piotto, D., Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Ramirez Arevalo, Freddy, Restrepo-Correa, Zorayda, Rodeghiero, M., Rodeghiero, Mirco, Rolim, Samir, Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Schall, Peter, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Šebeň, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly, Silva-Espejo, Javier, Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Souza, Alexandre F., Stereńczak, Krzysztof, Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter, Usoltsev, Vladimir, Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Tran, Do Van, Van Nuland, Michael E., Vasquez Martinez, Rodolfo, Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James, Werner, Gijsbert D. A., Wiser, S. K., Wiser, Susan K., Wittmann, Florian, Wortel, Verginia, Zagt, Roderick, Zawila-Niedzwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie Casimir, Crowther, Thomas W., Hordijk, Iris, Maynard, Daniel S, Hart, Simon P, Lidong, Mo, Keppel, Gunnar, Crowther, Thomas W, and University of St Andrews. School of Geography & Sustainable Development

Subjects
productivity, PREDICTION, Geography & travel, ecosystem function and services, Plant Science, diversity, Settore BIO/07 - ECOLOGIA, DISTRIBUTIONS, species richness, SCALE, Ecology, Evolution, Behavior and Systematics, ddc:910, MCC, PLANT DIVERSITY, forests, diversity, ecosystem function and services, evenness, forests, global, productivity, species richness, GE, Ecology, isofys, DAS, evenness, global, Earth and Environmental Sciences, HERBIVORES, INSURANCE, cavelab, BIODIVERSITY, ABUNDANCE, GE Environmental Sciences, ABOVEGROUND BIOMASS
Abstract

1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explained by low evenness in speciose communities. Productivity generally increases with species richness, until reduced evenness limits the overall increases in community diversity. Our research suggests that evenness is a fundamental component of biodiversity–ecosystem function relationships, and is of critical importance for guiding conservation and sustainable ecosystem management decisions., Journal of Ecology, 111 (6), ISSN:0022-0477

Published
2023
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3. Amazon tree dominance across forest strata

Author

Jérôme Chave, Katherine H Roucoux, Gregory P. Asner, Frederick C. Draper, Ricardo Keichi Umetsu, C. E. Timothy Paine, Mauricio Sánchez Sáenz, Eliana Jimenez-Rojas, J. Sebastián Tello, Julien Engel, Raquel Thomas, Dilys M. Vela, David W. Galbraith, Kenneth R. Young, Marcelo Petratti Pansonato, Timothy J. Killeen, Fernanda Coelho de Souza, José Luís Camargo, Jim Vega Arenas, Roosevelt Garcia Villacorta, Jean-François Molino, Francisco Dallmeier, Antonio S. Lima, Fernanda Carvalho, Luzmila Arroyo, Gerardo Aymard, Abel Monteagudo-Mendoza, Ben Hur Marimon Junior, Germaine Alexander Parada Gutierrez, Jonathan Lloyd, Walter A. Palacios, Rodolfo Vásquez Martínez, Tinde van Andel, Sabina Cerruto Ribeiro, Narel Y.Paniagua Zambrana, Adriana Prieto, Marcos José Salgado Vital, Richarlly da Costa Silva, Gabriel Damasco, James A. Comiskey, Gabriel Arellano, Carlos A. Guerra, Oscar J.Valverde Barrantes, Klécia Gili Massi, Marcos Ríos Paredes, José Julio de Toledo, Gilberto E.Navarro Aguilar, Thomas E. Lovejoy, Victor Chama Moscoso, José Reyna Huaymacari, William E. Magnusson, Sandra Patiño, Renato R. Hilário, Guido Pardo, Manuel Flores, Paul E. Berry, Miguel Alexiades, Ricardo de Oliveira Perdiz, Hans ter Steege, Fredy R. Ramirez Arévalo, Nállarett Dávila, Adriane Esquivel Muelbert, Fabricio Beggiato Baccaro, Vincent A. Vos, Juliana Schietti, Erika Berenguer, Elvis Valderamma Sandoval, Nigel C. A. Pitman, Joost F. Duivenvoorden, Rodrigo Sierra, Beatriz Schwantes Marimon, Daniel Sabatier, Kyle G. Dexter, Ted R. Feldpausch, Jessica Soares Cravo, Claire Fortunel, Elodie Allie, Italo Mesones, Eurídice N. Honorio Coronado, Flávia R. C. Costa, Hirma Ramírez-Angulo, Carolina V. Castilho, Ima Célia Guimarães Vieira, Leslie Cayola Pérez, Maxime Réjou-Méchain, Ophelia Wang, Oliver L. Phillips, Pascal Petronelli, Flávia Delgado Santana, Roel J. W. Brienen, Alberto Vicentini, Alfredo F. Fuentes, Michelle Kalamandeen, Kalle Ruokolainen, Luis Valenzuela Gamarra, Rafael de Paiva Salomão, Ângelo Gilberto Manzatto, Cesar J.Cordova Oroche, Aurélie Dourdain, Marcos Silvera, Luisa Fernanda Casas, Niro Higuchi, Jacob B. Socolar, Susan G. Laurance, Ana C. Andrade, Gerardo Flores Llampazo, Jason Vleminckx, Karina Melgaço, William F. Laurance, Jean Yves Goret, Sophie Fauset, John Pipoly, Jhon del Aguila Pasquel, Luis A. Torres Montenegro, Julio Miguel Grandez Rios, Ricardo Zárate Gómez, Mathias Disney, Paul V. A. Fine, Ana M. Aldana, Henrique E. M. Nascimento, André Braga Junqueira, Nayane C.C.S. Prestes, Christopher Baraloto, Sidney Araújo de Sousa, Emilio Vilanova Torre, Wenderson Castro, Alvaro Duque, Percy Núñez Vargas, John Terborgh, Yadvinder Malhi, Pablo Roberto Stevenson Diaz, Timothy R. Baker, Darcy F. Galiano Cabrera, Carlos Cerón, Manuel J. Macía, Peter M. Jørgensen, Thaiane Rodrigues de Sousa, Armando Torres-Lezama, David A. Neill, Juan Ernesto Guevara Andino, Luiz E. O. C. Aragão, M. C. Peñuela, Alejandro Araujo-Murakami, Systems Ecology, Ecosystem and Landscape Dynamics (IBED, FNWI), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), ANR-13-BSV7-0009,NEBEDIV,Le rôle des ennemis naturels dans la diversité béta des arbres tropicaux(2013), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Florida International University, University of Leeds, Arizona State University, Instituto Nacional de Pesquisas da Amazônia (INPA), University of Michigan, Universidad Nacional de Colombia, Universidad Autónoma de Madrid, Naturalis Biodiversity Center, Vrije Universiteit, Lancaster University, University of Oxford, Norwegian University of Life Sciences, University of Edinburgh, Missouri Botanical Garden, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidad Nacional de San Antonio Abad del Cusco, University of California Berkeley, University of Turku, Instituto de Investigaciones de la Amazonía Peruana, Herbario Universitario (PORT), Compensation International Progress S. A.—Ciprogress Greenlife, IRD, University of New England, Université de Guyane, UMR EcoFoG, Universidad de Las Américas, Herbario Nacional de Bolivia, Universidade Federal de Rondônia, Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS, University of Plymouth, Cornell University, University of Exeter, Universidad Nacional de la Amazonía Peruana, Estación Biológica del Jardín Botánico de Missouri, Universitat Autònoma de Barcelona, University of St Andrews, Federal University of Amapá, James Cook University, George Mason University, National Park Service, Smithsonian Institution, University of Cambridge, Laurentian University, Instituto Nacional de Innovación Agraria (INIA), Universidad Nacional de la Amazonia Peruana, Universidade de São Paulo (USP), University of Amsterdam, Universidade Federal de Roraima, Universidad Autónoma Gabriel Rene Moreno, Universidad do Estado de Mato Grosso, Universidade Federal do Rio Grande do Norte, University of Minnesota, University College London, Universidad de Los Andes (Colombia), Universidade Federal do Acre, Duke University, Iwokrama International Centre for Rainforest Conservation and Development, Smithsonian’s National Zoo & Conservation Biology Institute, Universidade Federal Rural da Amazônia—UFRA/CAPES, Museu Paraense Emílio Goeldi, Universidad de Los Andes, Universidad de los Andes, University of Washington, Universidad Regional Amazónica Ikiam, Agteca-Amazonica, Universidad Autónoma del Beni, Broward County Parks and Recreation, Florida Atlantic University-Davie, Universidad Estatal Amazónica, Washington University in St Louis, National Institute for Space Research (INPE), Geoinformática & Sistemas (GeoIS), Northern Arizona University, University of Texas at Austin, Universidade Estadual Paulista (Unesp), University of Kent, Universidade Federal do Amazonas, Universidad Central del Ecuador, University of Birmingham, Imperial College London, The Field Museum, Herbario Nacional del Ecuador, Research Institute Alexander von Humboldt, University of St Andrews. School of Geography & Sustainable Development, and University of St Andrews. Environmental Change Research Group

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Range (biology), Amazonian, Biodiversity, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, Trees, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, SD Forestry, SDG 13 - Climate Action, Humans, Dominance (ecology), Ecology, Evolution, Behavior and Systematics, SD, 0105 earth and related environmental sciences, SDG 15 - Life on Land, GE, Ecology, Amazon rainforest, DAS, Plant community, Understory, 15. Life on land, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Tropical ecology, Geography, 13. Climate action, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Brazil, GE Environmental Sciences
Abstract

Made available in DSpace on 2021-06-25T10:27:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) The forests of Amazonia are among the most biodiverse plant communities on Earth. Given the immediate threats posed by climate and land-use change, an improved understanding of how this extraordinary biodiversity is spatially organized is urgently required to develop effective conservation strategies. Most Amazonian tree species are extremely rare but a few are common across the region. Indeed, just 227 ‘hyperdominant’ species account for >50% of all individuals >10 cm diameter at 1.3 m in height. Yet, the degree to which the phenomenon of hyperdominance is sensitive to tree size, the extent to which the composition of dominant species changes with size class and how evolutionary history constrains tree hyperdominance, all remain unknown. Here, we use a large floristic dataset to show that, while hyperdominance is a universal phenomenon across forest strata, different species dominate the forest understory, midstory and canopy. We further find that, although species belonging to a range of phylogenetically dispersed lineages have become hyperdominant in small size classes, hyperdominants in large size classes are restricted to a few lineages. Our results demonstrate that it is essential to consider all forest strata to understand regional patterns of dominance and composition in Amazonia. More generally, through the lens of 654 hyperdominant species, we outline a tractable pathway for understanding the functioning of half of Amazonian forests across vertical strata and geographical locations. Institute of Environment Department of Biological Sciences Florida International University School of Geography University of Leeds Center for Global Discovery and Conservation Science Arizona State University Instituto Nacional de Pesquisas da Amazônia (INPA) Ecology and Evolutionary Biology University of Michigan Departamento de Ciencias Forestales Universidad Nacional de Colombia Departamento de Biología Universidad Autónoma de Madrid Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM) Universidad Autónoma de Madrid Naturalis Biodiversity Center Systems Ecology Vrije Universiteit Lancaster Environment Centre Lancaster University Environmental Change Institute University of Oxford Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences School of Geosciences University of Edinburgh Missouri Botanical Garden Brazilian Agricultural Research Corporation (Embrapa) Universidad Nacional de San Antonio Abad del Cusco Department of Intergrative Biology University of California Berkeley Department of Biology University of Turku Instituto de Investigaciones de la Amazonía Peruana UNELLEZ-Guanare Programa de Ciencias del Agro y el Mar Herbario Universitario (PORT) Compensation International Progress S. A.—Ciprogress Greenlife AMAP Université de Montpellier CIRAD CNRS INRAE IRD Environmental and Rural Science University of New England INRA UMR EcoFoG AgroParisTech CNRS CIRAD Université des Antilles Université de Guyane CIRAD UMR EcoFoG BIOMAS Universidad de Las Américas Instituto de Ecología Herbario Nacional de Bolivia Departamento de Biologia Universidade Federal de Rondônia Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS School of Geography Earth and Environmental Sciences University of Plymouth Department of Ecology and Evolutionary Biology Cornell University Department of Geography University of Exeter Facultad de Ciencias Biológicas Universidad Nacional de la Amazonía Peruana Estación Biológica del Jardín Botánico de Missouri Institut de Ciència i Tecnologia Ambientals Universitat Autònoma de Barcelona School of Geography & Sustainable Development University of St Andrews Department of Environment and Development Federal University of Amapá Centre for Tropical Environmental and Sustainability Science (TESS) and College of Marine and Environmental Sciences James Cook University Department of Environmental Science and Policy George Mason University Inventory and Monitoring Program National Park Service Smithsonian Institution Department of Plant Sciences University of Cambridge Living with Lakes Centre Laurentian University DRGB Instituto Nacional de Innovación Agraria (INIA) Herbarium Amazonense (AMAZ) Universidad Nacional de la Amazonia Peruana Department of Ecology Universidade de São Paulo Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Centro de Estudos da Biodiversidade Universidade Federal de Roraima Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel Rene Moreno Faculdade de Ciências Agrárias Biológicas e Sociais Aplicadas Universidad do Estado de Mato Grosso Centro de Biociências Universidade Federal do Rio Grande do Norte Department of Ecology Evolution and Behaviour University of Minnesota Department of Geography University College London Departamento de Ciencias Biológicas Universidad de Los Andes (Colombia) Centro de Ciências Biológicas e da Natureza Universidade Federal do Acre Nicholas School of the Environment Duke University Iwokrama International Centre for Rainforest Conservation and Development Smithsonian’s National Zoo & Conservation Biology Institute Instituto de Ciencias Naturales Universidad Nacional de Colombia Universidade Federal Rural da Amazônia—UFRA/CAPES Museu Paraense Emílio Goeldi Laboratorio de Ecología de Bosques Tropicales y Primatología Fundación Natura Colombia Universidad de Los Andes Facultad de Forestales Universidad Nacional de la Amazonía Peruana Institute of Research for Forestry Development Universidad de los Andes School of Environmental and Forest Sciences (SEFS) University of Washington Universidad Regional Amazónica Ikiam Agteca-Amazonica Universidad Autónoma del Beni Instituto Amazónico de Investigaciones (IMANI) Universidad Nacional de Colombia Broward County Parks and Recreation Biological Sciences Florida Atlantic University-Davie Museu Universitário Universidade Federal do Acre Facultad de Ingeniería Ambiental Universidad Estatal Amazónica Department of Biology Washington University in St Louis National Institute for Space Research (INPE) Geoinformática & Sistemas (GeoIS) School of Earth Sciences and Environmental Sustainability Northern Arizona University Department of Geography and the Environment University of Texas at Austin Instituto de Ciência e Tecnologia São Paulo State University (UNESP) School of Anthropology and Conservation University of Kent Universidade Federal do Amazonas Herbario Alfredo Paredes (QAP) Universidad Central del Ecuador School of Geography Earth and Environmental Sciences University of Birmingham Department of Life Sciences Imperial College London Science and Education The Field Museum Universidad Tecnica del Norte Herbario Nacional del Ecuador Research Institute Alexander von Humboldt Instituto de Ciência e Tecnologia São Paulo State University (UNESP)

Published
2021
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4. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

Author

Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., Reich, P. B., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K. G., Abegg, Meinrad, Yao, C. Yves Adou, Alberti, Giorgio, Zambrano, Angelica Almeyda, Alvarez-Davila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Ammer, Christian, Anton-Fernandez, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo, Baker, Timothy, Balazy, Radomir, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith, Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben, Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo, Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J., Clark, David, Colletta, Gabriel, Condit, Richard, Coomes, David, Cornejo Valverde, Fernando, Corral-Rivas, Jose J., Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, Andre L., Decuyper, Mathieu, Derroire, Geraldine, DeVries, Ben, Djordjevic, Ilija, Ieda, Amaral, Dourdain, Aurelie, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adande Belarmain, Fayle, Tom M., Feldpausch, Ted R., Finer, Leena, Fischer, Markus, Fletcher, Christine, Fridman, Jonas, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Herold, Martin, Hillers, Annika, Honorio Coronado, Euridice N., Huber, Markus, Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian, Joly, Carlos A., Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah, Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy, Kim, Hyun Seok, Kitayama, Kanehiro, Kohl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon, Lu, Huicui, Lukina, Natalia, Maitner, Brian, Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew Robert, Martin, Emanuel, Martynenko, Olga, Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa, Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, Maria G., Neill, David, Neldner, Victor, Nevenic, Radovan, Ngugi, Michael, Niklaus, Pascal, Oleksyn, Jacek, Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena, Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver, Piedade, Maria Teresa, Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poorter, Lourens, Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Arevalo, Freddy Ramirez, Restrepo-Correa, Zorayda, Rodeghiero, Mirco, Rolim, Samir, Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schongart, Jochen, Searle, Eric, Seben, Vladimir, Serra-Diaz, Josep M., Salas-Eljatib, Christian, Sheil, Douglas, Shvidenko, Anatoly, Silva-Espejo, Javier, Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonke, Bonaventure, Souza, Alexandre F., Sterenczak, Krzysztof, Svenning, Jens-Christian, Svoboda, Miroslav, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter, Usoltsev, Vladimir, Valladares, Fernando, van der Plas, Fons, Tran Van Do, Vasquez Martinez, Rodolfo, Verbeeck, Hans, Viana, Helder, Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James, Westerlund, Bertil, Wiser, Susan, Wittmann, Florian, Wortel, Verginia, Zagt, Roderick, Zawila-Niedzwiecki, Tomasz, Zhu, Zhi-Xin, Zo-Bi, Irie Casimir, Valladares, Fernando, Stanford University, Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Purdue University [West Lafayette], Beijing Forestry University, University of Oxford [Oxford], University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Western Sydney University, Wageningen University and Research [Wageningen] (WUR), Universitat de Lleida, Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National Polytechnique Yamoussoukro, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Stanford University [Stanford], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), University of Minnesota [Twin Cities], Western Sydney University (UWS), Wageningen University and Research Centre [Wageningen] (WUR), Forest Science and Technology Centre of Catalonia, Food and Agricultural Organization of the United Nations (FAO), United Nations Organization, Forêts et Sociétés (Cirad-Es-UPR 105 Forêts et Sociétés), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Lorraine (UL), Steidinger B.S., Crowther T.W., Liang J., Van Nuland M.E., Werner G.D.A., Reich P.B., Nabuurs G., de-Miguel S., Zhou M., Picard N., Herault B., Zhao X., Zhang C., Routh D., Peay K.G., Abegg M., AdouYao C.Y., Alberti G., AlmeydaZambrano A., Alvarez-Davila E., Alvarez-Loayza P., Alves L.F., Ammer C., Anton-Fernandez C., Araujo-Murakami A., Arroyo L., Avitabile V., Aymard G., Baker T., Balazy R., Banki O., Barroso J., Bastian M., Bastin J.-F., Birigazzi L., Birnbaum P., Bitariho R., Boeckx P., Bongers F., Bouriaud O., Brancalion P.H.S., Brandl S., Brearley F.Q., Brienen R., Broadbent E., Bruelheide H., Bussotti F., Cazzolla Gatti R., Cesar R., Cesljar G., Chazdon R., Chen H.Y.H., Chisholm C., Cienciala E., Clark C.J., Clark D., Colletta G., Condit R., Coomes D., CornejoValverde F., Corral-Rivas J.J., Crim P., Cumming J., Dayanandan S., de Gasper A.L., Decuyper M., Derroire G., DeVries B., Djordjevic I., Ieda A., Dourdain A., Obiang N.L.E., Enquist B., Eyre T., Fandohan A.B., Fayle T.M., Feldpausch T.R., Finer L., Fischer M., Fletcher C., Fridman J., Frizzera L., Gamarra J.G.P., Gianelle D., Glick H.B., Harris D., Hector A., Hemp A., Hengeveld G., Herbohn J., Herold M., Hillers A., Honorio Coronado E.N., Huber M., Hui C., Cho H., Ibanez T., Jung I., Imai N., Jagodzinski A.M., Jaroszewicz B., Johannsen V., Joly C.A., Jucker T., Karminov V., Kartawinata K., Kearsley E., Kenfack D., Kennard D., Kepfer-Rojas S., Keppel G., Khan M.L., Killeen T., Kim H.S., Kitayama K., Kohl M., Korjus H., Kraxner F., Laarmann D., Lang M., Lewis S., Lu H., Lukina N., Maitner B., Malhi Y., Marcon E., Marimon B.S., Marimon-Junior B.H., Marshall A.R., Martin E., Martynenko O., Meave J.A., Melo-Cruz O., Mendoza C., Merow C., MonteagudoMendoza A., Moreno V., Mukul S.A., Mundhenk P., Nava-Miranda M.G., Neill D., Neldner V., Nevenic R., Ngugi M., Niklaus P., Oleksyn J., Ontikov P., Ortiz-Malavasi E., Pan Y., Paquette A., Parada-Gutierrez A., Parfenova E., Park M., Parren M., Parthasarathy N., Peri P.L., Pfautsch S., Phillips O., Piedade M.T., Piotto D., Pitman N.C.A., Polo I., Poorter L., Poulsen A.D., Poulsen J.R., Pretzsch H., RamirezArevalo F., Restrepo-Correa Z., Rodeghiero M., Rolim S., Roopsind A., Rovero F., Rutishauser E., Saikia P., Saner P., Schall P., Schelhaas M.-J., Schepaschenko D., Scherer-Lorenzen M., Schmid B., Schongart J., Searle E., Seben V., Serra-Diaz J.M., Salas-Eljatib C., Sheil D., Shvidenko A., Silva-Espejo J., Silveira M., Singh J., Sist P., Slik F., Sonke B., Souza A.F., Sterenczak K., Svenning J.-C., Svoboda M., Targhetta N., Tchebakova N., Steege H., Thomas R., Tikhonova E., Umunay P., Usoltsev V., Valladares F., van der Plas F., Van Do T., VasquezMartinez R., Verbeeck H., Viana H., Vieira S., von Gadow K., Wang H.-F., Watson J., Westerlund B., Wiser S., Wittmann F., Wortel V., Zagt R., Zawila-Niedzwiecki T., Zhu Z.-X., Zo-Bi I.C., Systems Ecology, Steidinger, BS, Crowther, TW, Liang, J, Van Nuland, ME, Werner, GDA, Reich, PB, Nabuurs, G, de-Miguel, S, Zhou, M, Picard, N, Herault, B, Zhao, X, Zhang, C, Routh, D, Peay, KG, Keppel, G, GFBI consortium, and Valladares, Fernando [0000-0002-5374-4682]

Subjects
symbiosi, 0106 biological sciences, Forest Ecology, SOM decomposition, biogeography, forest-tree symbioses, Bos- en Landschapsecologie, Biome, 01 natural sciences, forest-tree symbioses, Microbial ecology, Laboratory of Geo-information Science and Remote Sensing, K01 - Foresterie - Considérations générales, Bos- en Natuurbeleid, Forest and Landscape Ecology, Multidisciplinary, Ecology, forest ecosystems, PE&RC, séquestration du carbone, Biometris, Biogeography, Forêt, Écosystème forestier, Vegetatie, Bos- en Landschapsecologie, P33 - Chimie et physique du sol, Climate control, Forest Ecology, P40 - Météorologie et climatologie, Symbiose, 010603 evolutionary biology, Forest and Nature Conservation Policy, Symbiosis, Settore BIO/07 - ECOLOGIA, Forest ecology, Temperate climate, Symbioses, Life Science, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, Forest, climate, Vegetatie, biogeography, Changement climatique, decomposition, Vegetation, Forest inventory, симбиозы, P34 - Biologie du sol, FUNGI, климат, 15. Life on land, Arid, Forest Ecology and Forest Management, SOM decomposition, forest inventory plots, лесные экосистемы, Environmental science, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 010606 plant biology & botany
Abstract

[EN] The identity of the dominant root-associated microbial symbionts in a forest determines the ability of trees to access limiting nutrients from atmospheric or soil pools, sequester carbon and withstand the effects of climate change. Characterizing the global distribution of these symbioses and identifying the factors that control this distribution are thus integral to understanding the present and future functioning of forest ecosystems. Here we generate a spatially explicit global map of the symbiotic status of forests, using a database of over 1.1 million forest inventory plots that collectively contain over 28,000 tree species. Our analyses indicate that climate variables—in particular, climatically controlled variation in the rate of decomposition—are the primary drivers of the global distribution of major symbioses. We estimate that ectomycorrhizal trees, which represent only 2% of all plant species, constitute approximately 60% of tree stems on Earth. Ectomycorrhizal symbiosis dominates forests in which seasonally cold and dry climates inhibit decomposition, and is the predominant form of symbiosis at high latitudes and elevation. By contrast, arbuscular mycorrhizal trees dominate in aseasonal, warm tropical forests, and occur with ectomycorrhizal trees in temperate biomes in which seasonally warm-and-wet climates enhance decomposition. Continental transitions between forests dominated by ectomycorrhizal or arbuscular mycorrhizal trees occur relatively abruptly along climate-driven decomposition gradients; these transitions are probably caused by positive feedback effects between plants and microorganisms. Symbiotic nitrogen fixers—which are insensitive to climatic controls on decomposition (compared with mycorrhizal fungi)—are most abundant in arid biomes with alkaline soils and high maximum temperatures. The climatically driven global symbiosis gradient that we document provides a spatially explicit quantitative understanding of microbial symbioses at the global scale, and demonstrates the critical role of microbial mutualisms in shaping the distribution of plant species., This work was made possible by the Global Forest Biodiversity Database, which represents the work of over 200 independent investigators and their public and private funding agencies (see Supplementary Acknowledgements), Supplementary information is available for this paper at https://doi.org/10.1038/s41586-019-1128-0.

Published
2019
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5. Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography

Author

Sophie Fauset, Manuel Gloor, Nikolaos M. Fyllas, Oliver L. Phillips, Gregory P. Asner, Timothy R. Baker, Lisa Patrick Bentley, Roel J. W. Brienen, Bradley O. Christoffersen, Jhon del Aguila-Pasquel, Christopher E. Doughty, Ted R. Feldpausch, David R. Galbraith, Rosa C. Goodman, Cécile A. J. Girardin, Euridice N. Honorio Coronado, Abel Monteagudo, Norma Salinas, Alexander Shenkin, Javier E. Silva-Espejo, Geertje van der Heijden, Rodolfo Vasquez, Esteban Alvarez-Davila, Luzmila Arroyo, Jorcely G. Barroso, Foster Brown, Wendeson Castro, Fernando Cornejo Valverde, Nallarett Davila Cardozo, Anthony Di Fiore, Terry Erwin, Isau Huamantupa-Chuquimaco, Percy Núñez Vargas, David Neill, Nadir Pallqui Camacho, Alexander Parada Gutierrez, Julie Peacock, Nigel Pitman, Adriana Prieto, Zorayda Restrepo, Agustín Rudas, Carlos A. Quesada, Marcos Silveira, Juliana Stropp, John Terborgh, Simone A. Vieira, Yadvinder Malhi, and University of St Andrews. School of Geography & Sustainable Development

Subjects
forest dynamics, 010504 meteorology & atmospheric sciences, Climate, Biodiversity, NDAS, Climate change, Earth and Planetary Sciences(all), Biology, 010502 geochemistry & geophysics, 01 natural sciences, Forest dynamics, Tropical forest, carbon cycle, SDG 13 - Climate Action, Leaf economics spectrum, functional traits, lcsh:Science, climate, Amazon, 0105 earth and related environmental sciences, GE, Ecology, leaf economics spectrum, Tropics, Global change, Understory, Carbon cycle, 15. Life on land, Productivity (ecology), Vegetation model, 13. Climate action, General Earth and Planetary Sciences, lcsh:Q, Functional traits, Woody plant, GE Environmental Sciences
Abstract

Funding: SF was supported by the São Paulo Research Foundation (FAPESP 2014/13322-9), SF and MG were supported by NERC (AMAZONICA NE/F005806/1, ECOFOR NE/K01944X/1, BIO-RED NE/N012542/1) and ERC (GEM-TRAIT 321121). NF was supported by a Marie Curie Intra-European Fellowship within the EU FP7. BC was partially supported by the EU FP7 project AMAZALERT. Data collection following RAINFOR protocols was supported by several grants from NERC, the EU (T-FORCES 103919, PAN-AMAZONIA 74254, GEOCARBON 283080), and the Moore Foundation (1656, 3000). Climate, species composition, and soils are thought to control carbon cycling and forest structure in Amazonian forests. Here, we add a demographics scheme (tree recruitment, growth, and mortality) to a recently developed non-demographic model—the Trait-based Forest Simulator (TFS)—to explore the roles of climate and plant traits in controlling forest productivity and structure. We compared two sites with differing climates (seasonal vs. aseasonal precipitation) and plant traits. Through an initial validation simulation, we assessed whether the model converges on observed forest properties (productivity, demographic and structural variables) using datasets of functional traits, structure, and climate to model the carbon cycle at the two sites. In a second set of simulations, we tested the relative importance of climate and plant traits for forest properties within the TFS framework using the climate from the two sites with hypothetical trait distributions representing two axes of functional variation (“fast” vs. “slow” leaf traits, and high vs. low wood density). The adapted model with demographics reproduced observed variation in gross (GPP) and net (NPP) primary production, and respiration. However, NPP and respiration at the level of plant organs (leaf, stem, and root) were poorly simulated. Mortality and recruitment rates were underestimated. The equilibrium forest structure differed from observations of stem numbers suggesting either that the forests are not currently at equilibrium or that mechanisms are missing from the model. Findings from the second set of simulations demonstrated that differences in productivity were driven by climate, rather than plant traits. Contrary to expectation, varying leaf traits had no influence on GPP. Drivers of simulated forest structure were complex, with a key role for wood density mediated by its link to tree mortality. Modeled mortality and recruitment rates were linked to plant traits alone, drought-related mortality was not accounted for. In future, model development should focus on improving allocation, mortality, organ respiration, simulation of understory trees and adding hydraulic traits. This type of model that incorporates diverse tree strategies, detailed forest structure and realistic physiology is necessary if we are to be able to simulate tropical forest responses to global change scenarios. Publisher PDF

Published
2019

6. Author Correction: Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

Author

Steidinger, B., Crowther, T., Liang, J., Van Nuland, M., Werner, G., Reich, P., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K., Abegg, M., Adou~Yao, C., Alberti, G., Almeyda~Zambrano, A., Alvarez-Davila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Ba?azy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla~Gatti, R., Cesar, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Condit, R., Coomes, D., Cornejo~Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Huber, M., Hui, C., Cho, H., Ibanez, T., Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., K{ö}hl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Monteagudo~Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez~Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Saner, P., Schall, P., Schelhaas, M., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Sch{ö}ngart, J., Searle, E., Seben, V., Serra-Diaz, J., Salas-Eljatib, C., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stere?czak, K., Svenning, J., Svoboda, M., Targhetta, N., Tchebakova, N., Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valladares, F., van der Plas, F., Van Do, T., Vasquez~Martinez, R., Verbeeck, H., Viana, H., Vieira, S., von Gadow, K., Wang, H., Watson, J., Westerlund, B., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila-Niedzwiecki, T., Zhu, Z., Zo-Bi, I., and Systems Ecology

Subjects
0301 basic medicine, Biogeography, Bos- en Landschapsecologie, 02 engineering and technology, Forest and Nature Conservation Policy, 03 medical and health sciences, Laboratorium voor Plantenveredeling, Laboratory of Geo-information Science and Remote Sensing, Decomposition (computer science), Bos- en Natuurbeleid, Life Science, Forest and Landscape Ecology, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, Vegetatie, Vegetation, Multidisciplinary, Ecology, Published Erratum, 021001 nanoscience & nanotechnology, PE&RC, Forest Ecology and Forest Management, Tree (data structure), Plant Breeding, 030104 developmental biology, Geography, Biometris, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, 0210 nano-technology, Citation
Abstract

In this Letter, the middle initial of author G. J. Nabuurs was omitted, and he should have been associated with an additional affiliation: ‘Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, The Netherlands’ (now added as affiliation 182). In addition, the following two statements have been added to the Supplementary Acknowledgements. (1): ‘We would particularly like to thank The French NFI for the work of the many field teams and engineers, who have made extraordinary efforts to make forest inventory data publicly available.’ (1): ‘Sergio de Miguel benefited from a Serra- Húnter Fellowship provided by the Generalitat of Catalonia.’ Finally, the second sentence of the Methods section should have cited the French NFI, which provided a national forestry database used in our analysis, to read as follows: ‘The GFBi database consists of individual-based data that we compiled from all the regional and national GFBi forest-inventory datasets, including the French NFI (IGN—French National Forest Inventory, raw data, annual campaigns 2005 and following, https://inventaire-forestier.ign.fr/spip.php?rubrique159, site accessed on 01 January 2015)’. All of these errors have been corrected online.

Published
2019
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7. Pan-tropical prediction of forest structure from the largest trees

Author

Narayanaswamy Parthasarathy, Stephen P. Hubbell, Cintia Rodrigues de Souza, Takeshi Toma, Ben Swanepoel, Raphaël Pélissier, Donatien Zebaze, Luzmila Arroyo, Juliana Stropp, James R. Kellner, Alejandro Araujo-Murakami, Thomas E. Lovejoy, Benoît Cassart, Ben Hur Marimon Junior, James Grogan, Sebastian K. Herzog, Yadvinder Malhi, Krisna Gajapersad, José Luís Camargo, Christelle Gonmadje, Renato Valencia, Connie J. Clark, Denise Sasaki, Fabien Wagner, Francesco Rovero, Katrin Boehning-Gaese, David Kenfack, Olaf Bánki, John Terborgh, Ferry Slik, Arafat S. Mtui, Javier Silva Espejo, Hans Beeckman, Germaine Alexander Parada Gutierrez, Tinde van Andel, Luis Valenzuela, Thalès de Haulleville, Hans ter Steege, Elizabeth Kearsley, Martin J. P. Sullivan, Wilson Roberto Spironello, Rodolfo Vasque, Emmanuel H. Martin, Thomas Duncan, William F. Laurance, Jason Vleminckx, Paulus Matius, Charles De Cannière, Yves Laumonier, Ted R. Feldpausch, Andrew R. Marshall, John R. Poulsen, J. Daniel Soto, Priya Davidar, Jean François Gillet, Iêda Leão do Amaral, Papi Puspa Warsudi, Eurídice N. Honorio Coronado, Vincent A. Vos, Laurent Descroix, Nicolas Texier, Philippe Saner, Roderick Zagt, Marc P. E. Parren, Luiz Marcelo Brum Rossi, Robert Bitariho, Fernando Cornejo Valverde, Jon Lloyd, Nina Farwig, James Singh, Jean-Louis Doucet, Francis Q. Brearley, Leandro Valle Ferreira, Celso Paulo de Azevedo, Ervan Rutishauser, Johanna Hurtado, Bruno Hérault, Albert Angbonga-Basia, Jérôme Chave, David A. Neill, Jean Claude Razafimahaimodison, Pierre Ploton, Hilandia Brandão, Susan G. Laurance, Richard Condit, Roel J. W. Brienen, Jean-François Bastin, Ana Andrade, Marcos Silveira, Oliver L. Phillips, Gauthier Ligot, David B. Clark, Casimero Mendoza Bautista, Narayanan Ayyappan, Robin L. Chazdon, Hans Verbeeck, Santiago Espinosa, Jürgen Homeier, Mireille Breuer-Ndoundou Hockemba, Simon L. Lewis, Patricia Alvarez-Loyayza, Vincent Droissart, Sassan Saatchi, Nigel C. A. Pitman, Victoria Meyer, Nicolas Barbier, Wannes Hubau, Jorcely Barroso, Nicolas Labrière, Plinio Sist, Georges Chuyong, Pascal Boeckx, Hugo Romero Saltos, Antonio Ferraz, David Harris, Verginia Wortel, Pandi Vivek, Mark Schulze, Bonaventure Sonké, Jan Bogaert, Abel Monteagudo-Mendoza, Guido Pardo, Quentin Ponette, Ahimsa Campos-Arceiz, Michael Kessler, Beatriz Schwantes Marimon, Samir Gonçalves Rolim, Maxime Réjou-Méchain, Koen Hufkens, Narcisse Guy Kamdem, Adeline Fayolle, Aurélie Dourdain, Christine Fletcher, Moses Libalah, B.R. Ramesh, Research Unit of Landscape Ecology and Plant Production Systems, Université libre de Bruxelles (ULB), Carbon For Expert, California Institute of Technology (CALTECH), 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]), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Université de Liège, University of Mary Washington, Instituto Nacional de Pesquisas da Amazônia (INPA), Universidad Autonoma Gabriel René Moreno (UAGRM), Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam [Amsterdam] (UvA), Universidade Federal do Acre (UFAC), School of Engineering and Science, Jacobs University [Bremen], Laboratory of Applied Physical Chemistry, Universiteit Gent = Ghent University (UGENT), School of Geography [Leeds], University of Leeds, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), University of Buea, Department of Computer Science, King‘s College London, Patrimoines Locaux et Gouvernance (PALOC), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD), Gembloux Agro-Bio Tech [Gembloux], Department of Ecology-Conservation Ecology, Faculty of Biology, Philipps Universität Marburg = Philipps University of Marburg, AgroBioTech, Forest Research Institute Malaysia (FRIM), Mount Holyoke College, Royal Botanic Gardens, Georg-August-University = Georg-August-Universität Göttingen, Royal Museum for Central Africa [Tervuren] (RMCA), Smithsonian Conservation Biology Institute, Center for Conservation Education and Sustainability, MRC 705, Box 37012, Washington, DC, VA 20013-7012, USA, Universität Zürich [Zürich] = University of Zurich (UZH), AgroParisTech, Center for International Forestry Research (CIFOR), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Université de Yaoundé I, Imperial College London, Environmental Science and Policy Department and the Department of Public and International Affairs, George Mason University [Fairfax], Environmental Change Inst., School of Geography and the Environment, University of Oxford, Universidade do Estado de Mato Grosso (UNEMAT), Centre Maurice Halbwachs (CMH), École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Département de Sciences sociales ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Missouri Botanical Garden, Universidad Estatal Amazonica, Universidad Autonoma del Beni, Analytical and Biophysical Environmental Chemistry (CABE), University of Geneva, Sciences II, Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University [Durham], Université Catholique de Louvain = Catholic University of Louvain (UCL), Département Systèmes Biologiques (Cirad-BIOS), MUSE – Science Museum of Trento, Forêts et Sociétés (UPR Forêts et Sociétés), Amazonia Central, Brazilian Agricultural Research Corporation (Embrapa), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Department of Forest Vegetation, Forestry and Forest Products Research Institute (FFPRI), Laboratorio de Ecología de Plantas y Herbario QCA, Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Chercheur indépendant, Computational & Applied Vegetation Ecology (CAVElab), Instituto Nacional de Pesquisas Espaciais (INPE), Ministério da Ciência, Tecnologia e Inovação, Biodiversity Department, Center for Agricultural Research in Suriname (CELOS), Laboratoire de Botanique systématique et d'Ecologie [ENS Yaoudé], Université de Yaoundé I-École normale supérieure [ENS] - Yaoundé 1, Université Libre de Bruxelles [Bruxelles] (ULB), Université des Antilles (UA)-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), Ghent University [Belgium] (UGENT), Universidad Nacional San Antonio Abad del Cusco, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Phillips Universität (Marburg), Georg-August-Universität Göttingen, University of Zurich, Université de Yaoundé, École normale supérieure - Paris (ENS Paris)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Missouri Botanical Garden (USA), Université Catholique de Louvain (UCL), Pontificia Universidad Catolica del Ecuador, Université de Yaoundé I [Yaoundé]-École normale supérieure [ENS] - Yaoundé 1, Systems Ecology, 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]), Universiteit Gent = Ghent University [Belgium] (UGENT), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Georg-August-University [Göttingen], University of Oxford [Oxford], École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
P33 - Chimie et physique du sol, 0106 biological sciences, pan-tropical, 010504 meteorology & atmospheric sciences, P40 - Météorologie et climatologie, REDD, Rainforest, F50 - Anatomie et morphologie des plantes, 010603 evolutionary biology, 01 natural sciences, Basal area, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, K01 - Foresterie - Considérations générales, Quadratic mean diameter, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Changement climatique, Global and Planetary Change, Biomass (ecology), Tree canopy, Ecology, carbon, Diameter at breast height, large trees, Tropics, 15. Life on land, Structure du peuplement, séquestration du carbone, climate change, 13. Climate action, Forêt, Environmental science, Physical geography, tropical forest ecology, REDD+, Woody plant, forest structure
Abstract

© 2018 John Wiley & Sons Ltd Aim: Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location: Pan-tropical. Time period: Early 21st century. Major taxa studied: Woody plants. Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results: Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50–70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Main conclusions: Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change.

Published
2018
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8. Compositional response of Amazon forests to climate change

Author

Eliana Jimenez-Rojas, Maria Cristina Peñuela-Mora, Nadir Pallqui Camacho, Georgia Pickavance, Rodolfo Vásquez Martínez, Gabriela Lopez-Gonzalez, Wendeson Castro, Julie Peacock, Emilio Vilanova, Julien Engel, Percy Núñez Vargas, John Terborgh, Raquel Thomas, José Luís Camargo, Alexander Parada Gutierrez, David W. Galbraith, Nallaret Davila Cardozo, Rafael Herrera Fernández, Lan Qie, Jon Lloyd, Carlos A. Quesada, Thomas E. Lovejoy, Jérôme Chave, Ima Célia Guimarães Vieira, Ricardo Keichi Umetsu, William F. Laurance, Gerardo A. Aymard C, Eurídice N. Honorio Coronado, Hirma Ramírez-Angulo, Rafael de Paiva Salomão, Sophie Fauset, Hans ter Steege, Vincent A. Vos, Antonio Carlos Lola da Costa, Luisa Fernanda Duque, Maxime Réjou-Méchain, Luis Valenzuela Gamarra, Pascal Petronelli, Damien Bonal, Roel J. W. Brienen, César I.A. Vela, Christopher Baraloto, Javier Silva Espejo, Niro Higuchi, Ana Andrade, Anand Roopsind, Simon L. Lewis, Timothy R. Baker, Fernando Elias, Armando Torres-Lezama, David A. Neill, Eric Arets, Marielos Peña-Claros, Edmar Almeida de Oliveira, Martin J. P. Sullivan, Plínio Barbosa de Camargo, Wannes Hubau, Adriana Prieto, Ted R. Feldpausch, James A. Comiskey, Ben Hur Marimon-Junior, Adriano José Nogueira Lima, Fernando Cornejo Valverde, Natalino Silva, Zorayda Restrepo Correa, Yadvinder Malhi, Jorcely Barroso, Kyle G. Dexter, Simone Aparecida Vieira, Marisol Toledo, Terry L. Erwin, Anthony Di Fiore, Victor Chama Moscoso, Oliver L. Phillips, Alejandro Araujo-Murakami, Omar Aurelio Melo Cruz, Clément Stahl, Jos Barlow, Bruno Hérault, Jhon del Aguila Pasquel, Nigel C. A. Pitman, Everton Cristo de Almeida, Luiz E. O. C. Aragão, Pieter A. Zuidema, Geertje M. F. van der Heijden, Susan G. Laurance, Marcos Silveira, Peter van der Hout, Abel Monteagudo-Mendoza, Paulo S. Morandi, Guido Pardo, René G. A. Boot, Beatriz Schwantes Marimon, James Singh, Agustín Rudas, Luzmila Arroyo, Peter J. van de Meer, Lourens Poorter, Gerardo Flores Llampazo, Frans Bongers, Emanuel Gloor, Adriane Esquivel-Muelbert, Juliana Stropp, Esteban Álvarez-Dávila, University of Leeds, School of Geography [Leeds], Imperial College London, Missouri Botanical Garden (USA), Museo de Historia Natural Noel Kempff Mercado, Universidad Autonoma Gabriel René Moreno, Fundación Con-Vida, Instituto Nacional de Pesquisas da Amazônia (INPA), Universidade do Estado de Mato Grosso (UNEMAT), Instituto de Investigaciones para el Desarrollo Forestal, Universidad de los Andes [Bogota], 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), Forest Ecology and Forest Management Group, Wageningen University and Research Centre [Wageningen] (WUR), Naturalis Biodiversity Center [Leiden], Ecologie des forêts de Guyane (UMR ECOFOG), Université des Antilles (UA)-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), 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]), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Van der Hout Forestry Consulting, The Royal Society, University of St Andrews. School of Geography & Sustainable Development, Missouri Botanical Garden, Universidad de los Andes [Bogota] (UNIANDES), SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Lorraine (UL), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Wageningen University and Research [Wageningen] (WUR), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, 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]), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and Systems Ecology

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Tropical forests, Bos- en Landschapsecologie, Biodiversity, adaptation aux changements climatiques, forêt tropicale, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, traits, CARBON STORAGE, K01 - Foresterie - Considérations générales, SDG 13 - Climate Action, Climate change, Primary Research Article, functional traits, skin and connective tissue diseases, General Environmental Science, Global and Planetary Change, GE, Ecology, Amazon rainforest, PE&RC, Geography, climate change, NEOTROPICAL FOREST, GROWTH, Vegetatie, Bos- en Landschapsecologie, Functional traits, Communauté végétale, GE Environmental Sciences, VEGETATION DYNAMICS, F40 - Écologie végétale, P40 - Météorologie et climatologie, bioclimatic niches, DROUGHT SENSITIVITY, Tropical Forest, Ecosystem, Bosecologie en Bosbeheer, Temporal Variation, Bois tropical, Vegetatie, Changement climatique, Science & Technology, Bioclimatic niches, Composition botanique, Brasil, Water, 15. Life on land, 06 Biological Sciences, Floristics, Forest Ecology and Forest Management, biodiversité forestière, functional, Season, Vegetation, Forest and Landscape Ecology, Physiology, WOOD DENSITY, Biodiversity & Conservation, 05 Environmental Sciences, DIVERSITY, Bibliomatic niches, Tropic Climate, Trees, Environmental Science(all), Dry season, Tropical climate, Forest and Landscape Ecology, Lowland Environment, Tropial forests, tropical forests, Bioclimatology, PERVASIVE ALTERATION, F70 - Taxonomie végétale et phytogéographie, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Funtional traits, Classification, Biodiversity Conservation, Seasons, TREE COMMUNITIES, Life Sciences & Biomedicine, Brazil, Tree, Temporal trends, Environmental Sciences & Ecology, 010603 evolutionary biology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Amazonia, Niche, Environmental Chemistry, Forest, Compositional shifts, 0105 earth and related environmental sciences, Tropical Climate, Vegetation, Tropics, DAS, Carbon Dioxide, Primary Research Articles, Climatic change, 13. Climate action, Earth and Environmental Sciences, sense organs, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Dioxyde de carbone, Environmental Sciences
Abstract

Funding Information: Natural Environment Research Council (NERC), Grant/Award Number: NE/ N004655/1; NERC Consortium Grants “AMAZONICA”; BIO‐RED; European Research Council (ERC); The Gordon and Betty Moore Foundation; European Union's Seventh Framework Programme, Grant/ Award Number: 282664; Royal Society, Grant/Award Number: CH160091; Royal Society Wolfson Research Merit Award. Most of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate-induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long-term inventory plots spanning 30 years. We analyse three traits that have been hypothesized to respond to different environmental drivers (increase in moisture stress and atmospheric CO2 concentrations): maximum tree size, biogeographic water-deficit affiliation and wood density. Tree communities have become increasingly dominated by large-statured taxa, but to date there has been no detectable change in mean wood density or water deficit affiliation at the community level, despite most forest plots having experienced an intensification of the dry season. However, among newly recruited trees, dry-affiliated genera have become more abundant, while the mortality of wet-affiliated genera has increased in those plots where the dry season has intensified most. Thus, a slow shift to a more dry-affiliated Amazonia is underway, with changes in compositional dynamics (recruits and mortality) consistent with climate-change drivers, but yet to significantly impact whole-community composition. The Amazon observational record suggests that the increase in atmospheric CO2 is driving a shift within tree communities to large-statured species and that climate changes to date will impact forest composition, but long generation times of tropical trees mean that biodiversity change is lagging behind climate change. Publisher PDF

Published
2018
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9. Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics

Author

Connie J. Clark, Geertje M. F. van der Heijden, Jianwei Tang, Jean-François Gillet, Gabriella Fredriksson, Serge A. Wich, Asyraf Mansor, Nicole Zweifel, Jean-Louis Doucet, Yadvinder Malhi, Yves Laumonier, Hidetoshi Nagamasu, Leandro Valle Ferreira, Tran Van Do, Marcos Silveira, Frans Bongers, Lilian Blanc, Murray Collins, Emilio Vilanova, Reuben Nilus, Francesco Rovero, Hannsjoerg Wöll, Johan van Valkenburg, Gary D. Paoli, Hirma Ramírez-Angulo, John R. Poulsen, Eduardo Schmidt Eler, Eizi Suzuki, David Harris, Alexander Parada-Gutierrez, Emanuel H. Martin, Miguel E. Leal, Tsuyoshi Yoneda, Gilles Dauby, Alejandro Araujo-Murakami, Ming-Gang Zhang, Javier E. Silva-Espejo, Hans ter Steege, Kazuki Miyamoto, Douglas Sheil, Runguo Zang, Yi Ding, Meredith L. Bastian, Andrea Permana, Tariq Stévart, Andes Hamuraby Rozak, Krista L. McGuire, Iêda Leão do Amaral, Patrick Boundja, Wilson Roberto Spironelo, J. W. Ferry Slik, Ida Theilade, Olle Forshed, Gilberto Enrique Navarro-Aguilar, Jorcely Barroso, Terry Sunderland, Lourens Poorter, Vincent A. Vos, Atila Alves de Oliveira, Jan Reitsma, Onrizal Onrizal, and Eddy Nurtjahya

Subjects
0106 biological sciences, Global and Planetary Change, Biomass (ecology), 010504 meteorology & atmospheric sciences, Ecology, Amazon rainforest, Tropics, Rainforest, 15. Life on land, 010603 evolutionary biology, 01 natural sciences, Monodominance, 13. Climate action, Soil water, Spatial ecology, Environmental science, Precipitation, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences
Abstract

Aim Large trees (d.b.h. 70 cm) store large amounts of biomass. Several studies suggest that large trees may be vulnerable to changing climate, poten- tially leading to declining forest biomass storage. Here we determine the importance of large trees for tropical forest biomass storage and explore which intrinsic (species trait) and extrinsic (environment) variables are associated with the density of large trees and forest biomass at continental and pan-tropical scales. Location Pan-tropical.

Published
2013
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10. Methods to estimate aboveground wood productivity from long-term forest inventory plots

Author

David A. Neill, Juliana Stropp, Joey Talbot, Timothy R. Baker, Simon L. Lewis, Percy Núñez Vargas, Gabriela Lopez-Gonzalez, Germaine Alexander Parada Gutierrez, Abel Monteagudo, Nigel C. A. Pitman, Roel J. W. Brienen, Luzmila Arroyo, Geertje M. F. van der Heijden, Marcos Silveira, Ted R. Feldpausch, Oliver L. Phillips, Carlos A. Quesada, Alejandro Araujo Murakami, Terry L. Erwin, Mark C. Vanderwel, Yadvinder Malhi, Helen C. Keeling, Kuo-Jung Chao, and Timothy J. Killeen

Subjects
0106 biological sciences, Biomass (ecology), Forest inventory, 010504 meteorology & atmospheric sciences, Wood production, Ecology, Forestry, 15. Life on land, Management, Monitoring, Policy and Law, Census, Carbon sequestration, 010603 evolutionary biology, 01 natural sciences, Productivity (ecology), Environmental science, Ecosystem, Physical geography, 0105 earth and related environmental sciences, Nature and Landscape Conservation, Tree measurement
Abstract

Forest inventory plots are widely used to estimate biomass carbon storage and its change over time. While there has been much debate and exploration of the analytical methods for calculating biomass, the methods used to determine rates of wood production have not been evaluated to the same degree. This affects assessment of ecosystem fluxes and may have wider implications if inventory data are used to parameterise biospheric models, or scaled to large areas in assessments of carbon sequestration. Here we use a dataset of 35 long-term Amazonian forest inventory plots to test different methods of calculating wood production rates. These address potential biases associated with three issues that routinely impact the interpretation of tree measurement data: (1) changes in the point of measurement (POM) of stem diameter as trees grow over time; (2) unequal length of time between censuses; and (3) the treatment of trees that pass the minimum diameter threshold (‘‘recruits’’). We derive corrections that control for changing POM height, that account for the unobserved growth of trees that die within census intervals, and that explore different assumptions regarding the growth of recruits during the previous census interval. For our dataset we find that annual aboveground coarse wood production (AGWP; in Mg ha � 1

Published
2014
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