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39 results on '"Phillips, O.L."'

1. The enduring world forest carbon sink

Author: Pan, Y., Birdsey, R.A., Phillips, O.L., Houghton, R.A., Fang, J., Kauppi, P.E., Keith, H., Kurz, W.A., Ito, A., Lewis, S.L., Nabuurs, G.-J., Shvidenko, A., Hashimoto, S., Lerink, B., Shchepashchenko, D., Castanho, A., Murdiyarso, D., Pan, Y., Birdsey, R.A., Phillips, O.L., Houghton, R.A., Fang, J., Kauppi, P.E., Keith, H., Kurz, W.A., Ito, A., Lewis, S.L., Nabuurs, G.-J., Shvidenko, A., Hashimoto, S., Lerink, B., Shchepashchenko, D., Castanho, A., and Murdiyarso, D.
Abstract: The uptake of carbon dioxide (CO2) by terrestrial ecosystems is critical for moderating climate change. To provide a ground-based long-term assessment of the contribution of forests to terrestrial CO2 uptake, we synthesized in situ forest data from boreal, temperate and tropical biomes spanning three decades. We found that the carbon sink in global forests was steady, at 3.6 ± 0.4 Pg C yr−1 in the 1990s and 2000s, and 3.5 ± 0.4 Pg C yr−1 in the 2010s. Despite this global stability, our analysis revealed some major biome-level changes. Carbon sinks have increased in temperate (+30 ± 5%) and tropical regrowth (+29 ± 8%) forests owing to increases in forest area, but they decreased in boreal (−36 ± 6%) and tropical intact (−31 ± 7%) forests, as a result of intensified disturbances and losses in intact forest area, respectively. Mass-balance studies indicate that the global land carbon sink has increased, implying an increase in the non-forest-land carbon sink. The global forest sink is equivalent to almost half of fossil-fuel emissions (7.8 ± 0.4 Pg C yr−1 in 1990–2019). However, two-thirds of the benefit from the sink has been negated by tropical deforestation (2.2 ± 0.5 Pg C yr−1 in 1990–2019). Although the global forest sink has endured undiminished for three decades, despite regional variations, it could be weakened by ageing forests, continuing deforestation and further intensification of disturbance regimes. To protect the carbon sink, land management policies are needed to limit deforestation, promote forest restoration and improve timber-harvesting practices.
Published: 2024
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2. Global patterns and environmental drivers of forest functional composition

Author: Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., Paquette, A., Bouchard, E., Searle, E.B., Drapeau, P., Liang, J., Gamarra, J.G.P., Abegg, M., Alberti, G., Zambrano, A.A., Alvarez‐Davila, E., Alves, L.F., Avitabile, V., Aymard, G., Bastin, J.‐F., Birnbaum, P., Bongers, F., Bouriaud, O., Brancalion, P., Broadbent, E., Bussotti, F., Gatti, R.C., Češljar, G., Chisholm, C., Cienciala, E., Clark, C. J., Corral‐Rivas, J.J., Crowther, T.W., Dayanandan, S., Decuyper, M., de Gasper, A.L., de‐Miguel, S., Derroire, G., DeVries, B., Djordjević, I., Van Do, T., Dolezal, J., Fayle, T.M., Fridman, J., Frizzera, L., Gianelle, D., Hemp, A., Hérault, B., Herold, M., Imai, N., Jagodziński, A.M., Jaroszewicz, B., Jucker, T., Kepfer‐Rojas, S., Keppel, G., Khan, M.L., Kim, H..S., Korjus, H., Kraxner, Fl., Laarmann, D., Lewis, S., Lu, H., Maitner, B.S., Marcon, E., Marshall, A.R., Mukul, S.A., Nabuurs, G.‐J., Nava‐Miranda, M.G., Parfenova, E.I., Park, M., Peri, P.L., Pfautsch, S., Phillips, O.L., Piedade, M.T.F., Piotto, D., Poulsen, J.R., Poulsen, A.D., Pretzsch, H., Reich, P.B., Rodeghiero, M., Rolim, S., Rovero, F., Saikia, P., Salas‐Eljatib, C., Schall, P., Shchepashchenko, D., Schöngart, J., Šebeň, V., Sist, P., Slik, F., Souza, A.F., Stereńczak, K., Svoboda, M., Tchebakova, N.M., ter Steege, H., Tikhonova, E.V., Usoltsev, V.A., Valladares, F., Viana, H., Vibrans, A.C., Wang, H.‐F.., Westerlund, B., Wiser, S.K., Wittmann, F., Wortel, V., Zawiła‐Niedźwiecki, T., Zhou, M., Zhu, Z.‐X., Zo‐Bi, I.C., and Paquette, A.
Abstract: Aim To determine the relationships between the functional trait composition of forest communities and environmental gradients across scales and biomes and the role of species relative abundances in these relationships. Location Global. Time period Recent. Major taxa studied Trees. Methods We integrated species abundance records from worldwide forest inventories and associated functional traits (wood density, specific leaf area and seed mass) to obtain a data set of 99,953 to 149,285 plots (depending on the trait) spanning all forested continents. We computed community-weighted and unweighted means of trait values for each plot and related them to three broad environmental gradients and their interactions (energy availability, precipitation and soil properties) at two scales (global and biomes). Results Our models explained up to 60% of the variance in trait distribution. At global scale, the energy gradient had the strongest influence on traits. However, within-biome models revealed different relationships among biomes. Notably, the functional composition of tropical forests was more influenced by precipitation and soil properties than energy availability, whereas temperate forests showed the opposite pattern. Depending on the trait studied, response to gradients was more variable and proportionally weaker in boreal forests. Community unweighted means were better predicted than weighted means for almost all models. Main conclusions Worldwide, trees require a large amount of energy (following latitude) to produce dense wood and seeds, while leaves with large surface to weight ratios are concentrated in temperate forests. However, patterns of functional composition within-biome differ from global patterns due to biome specificities such as the presence of conifers or unique combinations of climatic and soil properties. We recommend assessing the sensitivity of tree functional traits to environmental changes in their geographic context. Furthermore, at a given site, th
Published: 2024
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3. Toward a forest biomass reference measurement system for remote sensing applications

Author: Labrière, N., Davies, S.J., Disney, M.I., Duncanson, L.I., Herold, M., Lewis, S.L., Phillips, O.L., Quegan, S., Saatchi, S.S., Shchepashchenko, D., Scipal, K., Sist, P., Chave, J., Labrière, N., Davies, S.J., Disney, M.I., Duncanson, L.I., Herold, M., Lewis, S.L., Phillips, O.L., Quegan, S., Saatchi, S.S., Shchepashchenko, D., Scipal, K., Sist, P., and Chave, J.
Abstract: Forests contribute to climate change mitigation through carbon storage and uptake, but the extent to which this carbon pool varies in space and time is still poorly known. Several Earth Observation missions have been specifically designed to address this issue, e.g. NASA's GEDI, NASA-ISRO's NISAR and ESA's BIOMASS. Yet, all these missions' products require independent and consistent validation. A permanent, global, in situ, site-based forest biomass reference measurement system relying on ground data of the highest possible quality is therefore needed. Here, we have assembled a list of almost two hundred high-quality sites through an in-depth review of the literature and expert knowledge. In this study, we explore how representative these sites are in terms of their coverage of environmental conditions, geographical space and biomass-related forest structure, compared to those experienced by forests worldwide. This work also aims at identifying which sites are the most representative, and where to invest to improve the representativeness of the proposed system. We show that the environmental coverage of the system does not seem to improve after at least the 175 most representative sites are included, but geographical and structural coverages continue to improve as more sites are added. We highlight areas of poor environmental, geographical or structural coverage, including, but not limited to, Canada, the western half of the USA, Mexico, Patagonia, Angola, Zambia, eastern Russia, tropical and subtropical highlands (e.g. in Colombia, the Himalayas, Borneo, Papua). For the proposed system to succeed, we stress that (1) data must be collected and processed applying the same standards across all countries and continents; (2) system establishment and management must be inclusive and equitable, with careful consideration of working conditions; (3) training and site partner involvement in downstream activities should be mandatory.
Published: 2023
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4. Floristics and biogeography of vegetation in seasonally dry tropical regions

Author: DEXTER, K.G., SMART, B., BALDAUF, C., BAKER, T.R., BALINGA, M.P. BESSIKE, BRIENEN, R.J.W., FAUSET, S., FELDPAUSCH, T.R., SILVA, L. FERREIRA-DA, MULEDI, J. ILUNGA, LEWIS, S.L., LOPEZ-GONZALEZ, G., MARIMON-JUNIOR, B.H., MARIMON, B.S., MEERTS, P., PAGE, N., PARTHASARATHY, N., PHILLIPS, O.L., SUNDERLAND, T.C.H., THEILADE, I., WEINTRITT, J., AFFUM-BAFFOE, K., ARAUJO, A., ARROYO, L., BEGNE, S.K., NEVES, E. CARVALHO-DAS, COLLINS, M., CUNI-SANCHEZ, A., DJUIKOUO, M.N.K., ELIAS, F., FOLI, E.G., JEFFERY, K.J., KILLEEN, T.J., MALHI, Y., MARACAHIPES, L., MENDOZA, C., MONTEAGUDO-MENDOZA, A., MORANDI, P., OLIVEIRA-DOS SANTOS, C., PARADA, A.G., PARDO, G., PEH, K.S.-H., SALOMÃO, R.P., SILVEIRA, M., SINATORA –MIRANDA, H., SLIK, J.W.F., SONKE, B., TAEDOUMG, H.E., TOLEDO, M., UMETSU, R.K., VILLAROEL, R.G., VOS, V.A., WHITE, L.J.T., and PENNINGTON, R.T.
Published: 2015

5. Global patterns of vascular plant alpha diversity

Author: Sabatini, F.M., Jiménez-Alfaro, B., Jandt, U., Chytrý, M., Field, R., Kessler, M., Lenoir, J., Schrodt, F., Wiser, S.K., Arfin Khan, M.A.S., Attorre, F. Cayuela, L., De Sanctis, M., Dengler, J., Haider, S., Hatim, M.Z., Indreica, A., Jansen, F., Pauchard, A., Peet, R.K., Petřik, P., Pillar, V.D., Sandel, B., Schmidt, M., Tang, Z., Bodegom, P.M. van, Vassilev, K., Violle, C., Alvarez-Davilla, E., Davidar, P., Dolezal, J., Hérault, B., Galán-de-Mera, A., Jiménez, J., Kambach, S., Kepfer-Rojas, S., Kreft, H., Lezama, F., Linares-Palomino, R., Mendoza, A.M., N’Dja, J.K., Phillips, O.L., Rivas-Torres, G., Sklenář, P., Speziale, K., Strohbach, B.J., Martínez, R.V., Wang, H., Wesche, K., and Bruelheide, H.
Abstract: Global patterns of regional (gamma) plant diversity are relatively well known, but whether these patterns hold for local communities, and the dependence on spatial grain, remain controversial. Using data on 170,272 georeferenced local plant assemblages, we created global maps of alpha diversity (local species richness) for vascular plants at three different spatial grains, for forests and non-forests. We show that alpha diversity is consistently high across grains in some regions (for example, Andean-Amazonian foothills), but regional ‘scaling anomalies’ (deviations from the positive correlation) exist elsewhere, particularly in Eurasian temperate forests with disproportionally higher fine-grained richness and many African tropical forests with disproportionally higher coarse-grained richness. The influence of different climatic, topographic and biogeographical variables on alpha diversity also varies across grains. Our multi-grain maps return a nuanced understanding of vascular plant biodiversity patterns that complements classic maps of biodiversity hotspots and will improve predictions of global change effects on biodiversity.
Published: 2022

6. Local hydrological conditions influence tree diversity and composition across the Amazon basin

Author: Marca-Zevallos, M.J., Moulatlet, G.M., Sousa, T.R., Schietti, J., Coelho, L.D.S., Ramos, J.F., Lima Filho, D.D.A., Amaral, I.L., de Almeida Matos, F.D., Rincón, L.M., Cardenas Revilla, J.D., Pansonato, M.P., Gribel, R., Barbosa, E.M., Miranda, I.P.D.A., Bonates, L.C.D.M., Guevara, J.E., Salomão, R.P., Ferreira, L.V., Dantas do Amaral, D., Pitman, N.C.A., Vriesendorp, C., Baker, T.R., Brienen, R., Carim, M.D.J.V., Guimarães, J.R.D.S., Núñez Vargas, P., Huamantupa-Chuquimaco, I., Laurance, W.F., Laurance, S.G.W., Andrade, A., Camargo, J.L., Monteagudo Mendoza, A., Vasquez, R., Valenzuela Gamarra, L., Mogollón, H.F., Marimon-Junior, B.H., Marimon, B.S., Killeen, T.J., Farias, E.D.S., Neill, D., de Medeiros, M.B., Simon, M.F., Terborgh, J., Carlos Montero, J., Licona, J.C., Mostacedo, B., García-Villacorta, R., Araujo-Murakami, A., Arroyo, L., Villarroel, D., Dávila, N., Coelho de Souza, F., Carvalho, F.A., Comiskey, J.A., Alonso, A., Dallmeier, F., Oliveira, A.A., Castilho, C.V., Lloyd, J., Feldpausch, T.R., Ríos Paredes, M., Castaño Arboleda, N., Cárdenas López, D., Aymard Corredor, G.A., Di Fiore, A., Rudas, A., Prieto, A., Barbosa, F.R., Noronha, J.C., Rodrigues, D.D.J., Carpanedo, R.D.S.á., Honorio Coronado, E.N., Peres, C.A., Milliken, W., Fuentes, A., Tello, J.S., Cerón, C., Klitgaard, B., Tirado, M., Sierra, R., Young, K.R., Rivas-Torres, G.F., Stevenson, P.R., Cano, A., Wang, O., Baider, C., Barlow, J., Ferreira, J., Berenguer, E., Stropp, J., Balslev, H., Ahuite Reategui, M.A., Mesones, I., Valderrama Sandoval, E.H., Gonzales, T., Pansini, S., Reis, N.F.C., Sampaio, A.F., Vos, V.A., Palacios Cuenca, W., Manzatto, A.G., Farfan-Rios, W., Silman, M.R., Garcia-Cabrera, K., von Hildebrand, P., Guedes, M.C., Costa, J.B.P., Phillips, J.F., Vela, C.I.A., de Toledo, J.J., Pauletto, D., Valverde, F.C., Umaña, M.N., Phillips, O.L., Magnusson, W.E., ter Steege, H., Costa, F.R.C., Marca-Zevallos, M.J., Moulatlet, G.M., Sousa, T.R., Schietti, J., Coelho, L.D.S., Ramos, J.F., Lima Filho, D.D.A., Amaral, I.L., de Almeida Matos, F.D., Rincón, L.M., Cardenas Revilla, J.D., Pansonato, M.P., Gribel, R., Barbosa, E.M., Miranda, I.P.D.A., Bonates, L.C.D.M., Guevara, J.E., Salomão, R.P., Ferreira, L.V., Dantas do Amaral, D., Pitman, N.C.A., Vriesendorp, C., Baker, T.R., Brienen, R., Carim, M.D.J.V., Guimarães, J.R.D.S., Núñez Vargas, P., Huamantupa-Chuquimaco, I., Laurance, W.F., Laurance, S.G.W., Andrade, A., Camargo, J.L., Monteagudo Mendoza, A., Vasquez, R., Valenzuela Gamarra, L., Mogollón, H.F., Marimon-Junior, B.H., Marimon, B.S., Killeen, T.J., Farias, E.D.S., Neill, D., de Medeiros, M.B., Simon, M.F., Terborgh, J., Carlos Montero, J., Licona, J.C., Mostacedo, B., García-Villacorta, R., Araujo-Murakami, A., Arroyo, L., Villarroel, D., Dávila, N., Coelho de Souza, F., Carvalho, F.A., Comiskey, J.A., Alonso, A., Dallmeier, F., Oliveira, A.A., Castilho, C.V., Lloyd, J., Feldpausch, T.R., Ríos Paredes, M., Castaño Arboleda, N., Cárdenas López, D., Aymard Corredor, G.A., Di Fiore, A., Rudas, A., Prieto, A., Barbosa, F.R., Noronha, J.C., Rodrigues, D.D.J., Carpanedo, R.D.S.á., Honorio Coronado, E.N., Peres, C.A., Milliken, W., Fuentes, A., Tello, J.S., Cerón, C., Klitgaard, B., Tirado, M., Sierra, R., Young, K.R., Rivas-Torres, G.F., Stevenson, P.R., Cano, A., Wang, O., Baider, C., Barlow, J., Ferreira, J., Berenguer, E., Stropp, J., Balslev, H., Ahuite Reategui, M.A., Mesones, I., Valderrama Sandoval, E.H., Gonzales, T., Pansini, S., Reis, N.F.C., Sampaio, A.F., Vos, V.A., Palacios Cuenca, W., Manzatto, A.G., Farfan-Rios, W., Silman, M.R., Garcia-Cabrera, K., von Hildebrand, P., Guedes, M.C., Costa, J.B.P., Phillips, J.F., Vela, C.I.A., de Toledo, J.J., Pauletto, D., Valverde, F.C., Umaña, M.N., Phillips, O.L., Magnusson, W.E., ter Steege, H., and Costa, F.R.C.
Abstract: Tree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased towards better drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian forests. Overall, this study shows that the effect of local hydrological conditions is pervasive, extending over wide Amazonian regions, and reinforces the importance of accounting for local topography and hydrology to better understand the likely response and resilience of forests to increased frequency of extreme climate events and rising temperatures.
Published: 2022

7. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Author: Duncanson, L., Kellner, J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H.-E., Aplin, P., Baker, T.R., Barbier, N., Bastin, J.F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Brehm Boucher, P., Boyd, D.S., Burslem, D.F.R.P., Calvo-Rodriguez, S., Chave, J., Chazdon, R.L., Clark, D.B., Clark, D.A., Cohen, W.B., Coomes, D.A., Corona, P., Cushman, K.C., Cutler, M.E.J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Jeffery, K.J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, Nikolai, Král, K., Krůček, M., Labrière, N., Lewis, S.L., Longo, M., Lucas, R.M., Main, R., Manzanera, J.A., Vásquez Martínez, R., Mathieu, R., Memiaghe, H., Meyer, V., Monteagudo Mendoza, A., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M., Orwig, D.A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O.L., Pisek, J., Poulsen, J.R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C.A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J.C., White, L.J.T., Zahabu, E., Zgraggen, C., Duncanson, L., Kellner, J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H.-E., Aplin, P., Baker, T.R., Barbier, N., Bastin, J.F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Brehm Boucher, P., Boyd, D.S., Burslem, D.F.R.P., Calvo-Rodriguez, S., Chave, J., Chazdon, R.L., Clark, D.B., Clark, D.A., Cohen, W.B., Coomes, D.A., Corona, P., Cushman, K.C., Cutler, M.E.J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Jeffery, K.J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, Nikolai, Král, K., Krůček, M., Labrière, N., Lewis, S.L., Longo, M., Lucas, R.M., Main, R., Manzanera, J.A., Vásquez Martínez, R., Mathieu, R., Memiaghe, H., Meyer, V., Monteagudo Mendoza, A., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M., Orwig, D.A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O.L., Pisek, J., Poulsen, J.R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C.A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J.C., White, L.J.T., Zahabu, E., and Zgraggen, C.
Abstract: NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI’s footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI’s waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AG
Published: 2022

8. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

Author: Araza, A., de Bruin, S., Herold, M., Quegan, S., Labriere, N., Rodriguez-Veiga, P., Avitabile, V., Santoro, M., Mitchard, E.T.A., Ryan, C.M., Phillips, O.L., Willcock, S., Verbeeck, H., Carreiras, J., Hein, L., Schelhaas, M.-J., Pacheco-Pascagaza, A.M., da Conceição Bispo, P., Laurin, G.V., Vieilledent, G., Slik, F., Wijaya, A., Lewis, S.L., Morel, A., Liang, J., Sukhdeo, H., Shchepashchenko, D., Cavlovic, J., Gilani, H., Lucas, R., Araza, A., de Bruin, S., Herold, M., Quegan, S., Labriere, N., Rodriguez-Veiga, P., Avitabile, V., Santoro, M., Mitchard, E.T.A., Ryan, C.M., Phillips, O.L., Willcock, S., Verbeeck, H., Carreiras, J., Hein, L., Schelhaas, M.-J., Pacheco-Pascagaza, A.M., da Conceição Bispo, P., Laurin, G.V., Vieilledent, G., Slik, F., Wijaya, A., Lewis, S.L., Morel, A., Liang, J., Sukhdeo, H., Shchepashchenko, D., Cavlovic, J., Gilani, H., and Lucas, R.
Abstract: Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, and also for national estimates of forest carbon stocks and their changes. The number of such maps is anticipated to increase because of new satellite missions dedicated to measuring AGB. Objective and consistent methods to estimate the accuracy and uncertainty of AGB maps are therefore urgently needed. This paper develops and demonstrates a framework aimed at achieving this. The framework provides a means to compare AGB maps with AGB estimates from a global collection of National Forest Inventories and research plots that accounts for the uncertainty of plot AGB errors. This uncertainty depends strongly on plot size, and is dominated by the combined errors from tree measurements and allometric models (inter-quartile range of their standard deviation (SD) = 30–151 Mg ha−1). Estimates of sampling errors are also important, especially in the most common case where plots are smaller than map pixels (SD = 16–44 Mg ha−1). Plot uncertainty estimates are used to calculate the minimum-variance linear unbiased estimates of the mean forest AGB when averaged to 0.1∘. These are used to assess four AGB maps: Baccini (2000), GEOCARBON (2008), GlobBiomass (2010) and CCI Biomass (2017). Map bias, estimated using the differences between the plot and 0.1∘ map averages, is modelled using random forest regression driven by variables shown to affect the map estimates. The bias model is particularly sensitive to the map estimate of AGB and tree cover, and exhibits strong regional biases. Variograms indicate that AGB map errors have map-specific spatial correlation up to a range of 50–104 km, which increases the variance of spatially aggregated AGB map estimates compared to when pixel errors are independent. After bias adjustment, total pantropical AGB and its associated SD are derived for the f
Published: 2022

9. Drought impact on forest carbon dynamics and fluxes in Amazonia

Author: Doughty, Christopher E., Metcalfe, D.B., Girardin, C.A.J., Amezquita, F. Farfan, Cabrera, D. Galiano, Huasco, W. Huaraca, Silva-Espejo, J.E., Araujo-Murakami, A., da Costa, M.C., Rocha, W., Feldpausch, T.R., Mendoza, A.L.M., da Costa, A.C.L., Meir, P., Phillips, O.L., and Malhi, Y.
Subjects: Forest ecology -- Analysis, Droughts -- Influence -- Amazon River region, Forest dynamics -- Analysis, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract: In 2005 and 2010 the Amazon basin experienced two strong droughts (1), driven by shifts in the tropical hydrological regime (2) possibly associated with global climate change (3), as predicted [...]
Published: 2015

10. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author: Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jimenez‐Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Álvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El‐Sheikh, M.A.El‐R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán‐de‐Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J‐A, Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Penuelas, J., Pérez‐Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas‐Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J‐C, Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez‐Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H‐F, Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H., Bates, A., Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jimenez‐Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Álvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El‐Sheikh, M.A.El‐R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán‐de‐Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J‐A, Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Penuelas, J., Pérez‐Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas‐Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J‐C, Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez‐Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H‐F, Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H., and Bates, A.
Abstract: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring.
Published: 2021

11. Amazon tree dominance across forest strata

Author: Draper, F.C., Costa, F.R.C., Arellano, G., Phillips, O.L., Duque, A., Macía, M.J., ter Steege, H., Asner, G.P., Berenguer, E., Schietti, J., Socolar, J.B., de Souza, F.C., Dexter, K.G., Jørgensen, P.M., Tello, J.S., Magnusson, W.E., Baker, T.R., Castilho, C.V., Monteagudo-Mendoza, A., Fine, P.V.A., Ruokolainen, K., Coronado, E.N.H., Aymard, G., Dávila, N., Sáenz, M.S., Paredes, M.A.R., Engel, J., Fortunel, C., Paine, C.E.T., Goret, J.-Y., Dourdain, A., Petronelli, P., Allie, E., Andino, J.E.G., Brienen, R.J.W., Pérez, L.C., Manzatto, Â.G., Zambrana, N.Y.P., Molino, J.-F., Sabatier, D., Chave, J., Fauset, S., Villacorta, R.G., Réjou-Méchain, M., Berry, P.E., Melgaço, K., Feldpausch, T.R., Sandoval, E.V., Martinez, R.V., Mesones, I., Junqueira, A.B., Roucoux, K.H., de Toledo, J.J., Andrade, A.C., Camargo, J.L., del Aguila Pasquel, J., Santana, F.D., Laurance, W.F., Laurance, S.G., Lovejoy, T.E., Comiskey, J.A., Galbraith, D.R., Kalamandeen, M., Aguilar, G.E.N., Arenas, J.V., Guerra, C.A.A., Flores, M., Llampazo, G.F., Montenegro, L.A.T., Gomez, R.Z., Pansonato, M.P., Moscoso, V.C., Vleminckx, J., Barrantes, O.J.V., Duivenvoorden, J.F., de Sousa, S.A., Arroyo, L., Perdiz, R.O., Cravo, J.S., Marimon, B.S., Junior, B.H.M., Carvalho, F.A., Damasco, G., Disney, M., Vital, M.S., Diaz, P.R.S., Vicentini, A., Nascimento, H., Higuchi, N., Van Andel, T., Malhi, Y., Ribeiro, S.C., Terborgh, J.W., Thomas, R.S., Dallmeier, F., Prieto, A., Hilário, R.R., Salomão, R.P., Silva, R.C., Casas, L.F., Vieira, I.C.G., Araujo-Murakami, A., Arevalo, F.R., Ramírez-Angulo, H., Torre, E.V., Peñuela, M.C., Killeen, T.J., Pardo, G., Jimenez-Rojas, E., Castro, W., Cabrera, D.G., Pipoly, J., de Sousa, T.R., Silvera, M., Vos, V., Neill, D., Vargas, P.N., Vela, D.M., Aragão, L.E.O.C., Umetsu, R.K., Sierra, R., Wang, O., Young, K.R., Prestes, N.C.C.S., Massi, K.G., Huaymacari, J.R., Gutierrez, G.A.P., Aldana, A.M., Alexiades, M.N., Baccaro, F., Céron, C., Muelbert, A.E., Rios, J.M.G., Lima, A.S., Lloyd, J.L., Pitman, N.C.A., Gamarra, L.V., Oroche, C.J.C., Fuentes, A.F., Palacios, W., Patiño, S., Torres-Lezama, A., Baraloto, C., Draper, F.C., Costa, F.R.C., Arellano, G., Phillips, O.L., Duque, A., Macía, M.J., ter Steege, H., Asner, G.P., Berenguer, E., Schietti, J., Socolar, J.B., de Souza, F.C., Dexter, K.G., Jørgensen, P.M., Tello, J.S., Magnusson, W.E., Baker, T.R., Castilho, C.V., Monteagudo-Mendoza, A., Fine, P.V.A., Ruokolainen, K., Coronado, E.N.H., Aymard, G., Dávila, N., Sáenz, M.S., Paredes, M.A.R., Engel, J., Fortunel, C., Paine, C.E.T., Goret, J.-Y., Dourdain, A., Petronelli, P., Allie, E., Andino, J.E.G., Brienen, R.J.W., Pérez, L.C., Manzatto, Â.G., Zambrana, N.Y.P., Molino, J.-F., Sabatier, D., Chave, J., Fauset, S., Villacorta, R.G., Réjou-Méchain, M., Berry, P.E., Melgaço, K., Feldpausch, T.R., Sandoval, E.V., Martinez, R.V., Mesones, I., Junqueira, A.B., Roucoux, K.H., de Toledo, J.J., Andrade, A.C., Camargo, J.L., del Aguila Pasquel, J., Santana, F.D., Laurance, W.F., Laurance, S.G., Lovejoy, T.E., Comiskey, J.A., Galbraith, D.R., Kalamandeen, M., Aguilar, G.E.N., Arenas, J.V., Guerra, C.A.A., Flores, M., Llampazo, G.F., Montenegro, L.A.T., Gomez, R.Z., Pansonato, M.P., Moscoso, V.C., Vleminckx, J., Barrantes, O.J.V., Duivenvoorden, J.F., de Sousa, S.A., Arroyo, L., Perdiz, R.O., Cravo, J.S., Marimon, B.S., Junior, B.H.M., Carvalho, F.A., Damasco, G., Disney, M., Vital, M.S., Diaz, P.R.S., Vicentini, A., Nascimento, H., Higuchi, N., Van Andel, T., Malhi, Y., Ribeiro, S.C., Terborgh, J.W., Thomas, R.S., Dallmeier, F., Prieto, A., Hilário, R.R., Salomão, R.P., Silva, R.C., Casas, L.F., Vieira, I.C.G., Araujo-Murakami, A., Arevalo, F.R., Ramírez-Angulo, H., Torre, E.V., Peñuela, M.C., Killeen, T.J., Pardo, G., Jimenez-Rojas, E., Castro, W., Cabrera, D.G., Pipoly, J., de Sousa, T.R., Silvera, M., Vos, V., Neill, D., Vargas, P.N., Vela, D.M., Aragão, L.E.O.C., Umetsu, R.K., Sierra, R., Wang, O., Young, K.R., Prestes, N.C.C.S., Massi, K.G., Huaymacari, J.R., Gutierrez, G.A.P., Aldana, A.M., Alexiades, M.N., Baccaro, F., Céron, C., Muelbert, A.E., Rios, J.M.G., Lima, A.S., Lloyd, J.L., Pitman, N.C.A., Gamarra, L.V., Oroche, C.J.C., Fuentes, A.F., Palacios, W., Patiño, S., Torres-Lezama, A., and Baraloto, C.
Abstract: 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.
Published: 2021

12. Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data

Author: Aguirre-Gutiérrez, J., Rifai, S., Shenkin, A., Oliveras, I., Bentley, L.P., Svátek, M., Girardin, C.A.J., Both, S., Riutta, T., Berenguer, E., Kissling, W.D., Bauman, D., Raab, N., Moore, S., Farfan-Rios, W., Figueiredo, A.E.S., Reis, S.M., Ndong, J.E., Ondo, F.E., N'ssi Bengone, N., Mihindou, V., Moraes de Seixas, M.M., Adu-Bredu, S., Abernethy, K., Asner, G.P., Barlow, J., Burslem, D.F.R.P., Coomes, D.A., Cernusak, L.A., Dargie, G.C., Enquist, B.J., Ewers, R.M., Ferreira, J., Jeffery, K.J., Joly, C.A., Lewis, S.L., Marimon-Junior, B.H., Martin, R.E., Morandi, P.S., Phillips, O.L., Quesada, C.A., Salinas, N., Schwantes Marimon, B., Silman, M., Teh, Y.A., White, L.J.T., Malhi, Y., Aguirre-Gutiérrez, J., Rifai, S., Shenkin, A., Oliveras, I., Bentley, L.P., Svátek, M., Girardin, C.A.J., Both, S., Riutta, T., Berenguer, E., Kissling, W.D., Bauman, D., Raab, N., Moore, S., Farfan-Rios, W., Figueiredo, A.E.S., Reis, S.M., Ndong, J.E., Ondo, F.E., N'ssi Bengone, N., Mihindou, V., Moraes de Seixas, M.M., Adu-Bredu, S., Abernethy, K., Asner, G.P., Barlow, J., Burslem, D.F.R.P., Coomes, D.A., Cernusak, L.A., Dargie, G.C., Enquist, B.J., Ewers, R.M., Ferreira, J., Jeffery, K.J., Joly, C.A., Lewis, S.L., Marimon-Junior, B.H., Martin, R.E., Morandi, P.S., Phillips, O.L., Quesada, C.A., Salinas, N., Schwantes Marimon, B., Silman, M., Teh, Y.A., White, L.J.T., and Malhi, Y.
Abstract: Tropical forest ecosystems are undergoing rapid transformation as a result of changing environmental conditions and direct human impacts. However, we cannot adequately understand, monitor or simulate tropical ecosystem responses to environmental changes without capturing the high diversity of plant functional characteristics in the species-rich tropics. Failure to do so can oversimplify our understanding of ecosystems responses to environmental disturbances. Innovative methods and data products are needed to track changes in functional trait composition in tropical forest ecosystems through time and space. This study aimed to track key functional traits by coupling Sentinel-2 derived variables with a unique data set of precisely located in-situ measurements of canopy functional traits collected from 2434 individual trees across the tropics using a standardised methodology. The functional traits and vegetation censuses were collected from 47 field plots in the countries of Australia, Brazil, Peru, Gabon, Ghana, and Malaysia, which span the four tropical continents. The spatial positions of individual trees above 10 cm diameter at breast height (DBH) were mapped and their canopy size and shape recorded. Using geo-located tree canopy size and shape data, community-level trait values were estimated at the same spatial resolution as Sentinel-2 imagery (i.e. 10 m pixels). We then used the Geographic Random Forest (GRF) to model and predict functional traits across our plots. We demonstrate that key plant functional traits can be accurately predicted across the tropicsusing the high spatial and spectral resolution of Sentinel-2 imagery in conjunction with climatic and soil information. Image textural parameters were found to be key components of remote sensing information for predicting functional traits across tropical forests and woody savannas. Leaf thickness (R2 = 0.52) obtained the highest prediction accuracy among the morphological and structural traits and leaf carb
Published: 2021

13. Expanding tropical forest monitoring into Dry Forests: The DRYFLOR protocol for permanent plots

Author: Moonlight, Peter W., Banda, Karina, Phillips, O.L., Veenendaal, E.M., Moonlight, Peter W., Banda, Karina, Phillips, O.L., and Veenendaal, E.M.
Abstract: Understanding of tropical forests has been revolutionized by monitoring in permanent plots. Data from global plot networks have transformed our knowledge of forests’ diversity, function, contribution to global biogeochemical cycles, and sensitivity to climate change. Monitoring has thus far been concentrated in rain forests. Despite increasing appreciation of their threatened status, biodiversity, and importance to the global carbon cycle, monitoring in tropical dry forests is still in its infancy. We provide a protocol for permanent monitoring plots in tropical dry forests. Expanding monitoring into dry biomes is critical for overcoming the linked challenges of climate change, land use change, and the biodiversity crisis.
Published: 2021

14. The global abundance of tree palms

Author: Muscarella, R., Emilio, T., Phillips, O.L., Lewis, S.L., Slik, F., Baker, W.J., Couvreur, T.L.P., Eiserhardt, W.L., Svenning, J.-C., Affum-Baffoe, K., Aiba, S.-I., de Almeida, E.C., de Almeida, S.S., de Oliveira, E.A., Álvarez-Dávila, E., Alves, L.F., Alvez-Valles, C.M., Carvalho, F.A., Guarin, F.A., Andrade, A., Aragão, L.E.O.C., Murakami, A.A., Arroyo, L., Ashton, P.S., Corredor, G.A.A., Baker, T.R., de Camargo, P.B., Barlow, J., Bastin, J.-F., Bengone, N.N., Berenguer, E., Berry, N., Blanc, L., Böhning-Gaese, K., Bonal, D., Bongers, F., Bradford, M., Brambach, F., Brearley, F.Q., Brewer, S.W., Camargo, J.L.C., Campbell, D.G., Castilho, C.V., Castro, W., Catchpole, D., Cerón Martínez, C.E., Chen, S., Chhang, P., Cho, P., Chutipong, W., Clark, C., Collins, M., Comiskey, J.A., Medina, M.N.C., Costa, F.R.C., Culmsee, H., David-Higuita, H., Davidar, P., del Aguila-Pasquel, J., Derroire, G., Di Fiore, A., Van Do, T., Doucet, J.-L., Dourdain, A., Drake, D.R., Ensslin, A., Erwin, T., Ewango, C.E.N., Ewers, R.M., Fauset, S., Feldpausch, T.R., Ferreira, J., Ferreira, L.V., Fischer, M., Franklin, J., Fredriksson, G.M., Gillespie, T.W., Gilpin, M., Gonmadje, C., Gunatilleke, A.U.N., Hakeem, K.R., Hall, J.S., Hamer, K.C., Harris, D.J., Harrison, R.D., Hector, A., Hemp, A., Herault, B., Pizango, C.G.H., Coronado, E.N.H., Hubau, W., Hussain, M.S., Ibrahim, F.-H., Imai, N., Joly, C.A., Joseph, S., Anitha, K., Kartawinata, K., Kassi, J., Killeen, T.J., Kitayama, K., Klitgård, B.B., Kooyman, R., Labrière, N., Larney, E., Laumonier, Y., Laurance, S.G., Laurance, W.F., Lawes, M.J., Levesley, A., Lisingo, J., Lovejoy, T., Lovett, J.C., Lu, X., Lykke, A.M., Magnusson, W.E., Mahayani, N.P.D., Malhi, Y., Mansor, A., Peña, J.L.M., Marimon-Junior, B.H., Marshall, A.R., Melgaco, K., Bautista, C.M., Mihindou, V., Millet, J., Milliken, W., Mohandass, D., Mendoza, A.L.M., Mugerwa, B., Nagamasu, H., Nagy, L., Seuaturien, N., Nascimento, M.T., Neill, D.A., Neto, L.M., Nilus, R., Vargas, M.P.N., Nurtjahya, E., de Araújo, R.N.O., Onrizal, O., Palacios, W.A., Palacios-Ramos, S., Parren, M., Paudel, E., Morandi, P.S., Pennington, R.T., Pickavance, G., Pipoly J.J., III, Pitman, N.C.A., Poedjirahajoe, E., Poorter, L., Poulsen, J.R., Rama Chandra Prasad, P., Prieto, A., Puyravaud, J.-P., Qie, L., Quesada, C.A., Ramírez-Angulo, H., Razafimahaimodison, J.C., Reitsma, J.M., Requena-Rojas, E.J., Correa, Z.R., Rodriguez, C.R., Roopsind, A., Rovero, F., Rozak, A., Lleras, A.R., Rutishauser, E., Rutten, G., Punchi-Manage, R., Salomão, R.P., Van Sam, H., Sarker, S.K., Satdichanh, M., Schietti, J., Schmitt, C.B., Marimon, B.S., Senbeta, F., Nath Sharma, L., Sheil, D., Sierra, R., Silva-Espejo, J.E., Silveira, M., Sonké, B., Steininger, M.K., Steinmetz, R., Stévart, T., Sukumar, R., Sultana, A., Sunderland, T.C.H., Suresh, H.S., Tang, J., Tanner, E., ter Steege, H., Terborgh, J.W., Theilade, I., Timberlake, J., Torres-Lezama, A., Umunay, P., Uriarte, M., Gamarra, L.V., van de Bult, M., van der Hout, P., Martinez, R.V., Vieira, I.C.G., Vieira, S.A., Vilanova, E., Cayo, J.V., Wang, O., Webb, C.O., Webb, E.L., White, L., Whitfeld, T.J.S., Wich, S., Willcock, S., Wiser, S.K., Young, K.R., Zakaria, R., Zang, R., Zartman, C.E., Zo-Bi, I.C., Balslev, H., Muscarella, R., Emilio, T., Phillips, O.L., Lewis, S.L., Slik, F., Baker, W.J., Couvreur, T.L.P., Eiserhardt, W.L., Svenning, J.-C., Affum-Baffoe, K., Aiba, S.-I., de Almeida, E.C., de Almeida, S.S., de Oliveira, E.A., Álvarez-Dávila, E., Alves, L.F., Alvez-Valles, C.M., Carvalho, F.A., Guarin, F.A., Andrade, A., Aragão, L.E.O.C., Murakami, A.A., Arroyo, L., Ashton, P.S., Corredor, G.A.A., Baker, T.R., de Camargo, P.B., Barlow, J., Bastin, J.-F., Bengone, N.N., Berenguer, E., Berry, N., Blanc, L., Böhning-Gaese, K., Bonal, D., Bongers, F., Bradford, M., Brambach, F., Brearley, F.Q., Brewer, S.W., Camargo, J.L.C., Campbell, D.G., Castilho, C.V., Castro, W., Catchpole, D., Cerón Martínez, C.E., Chen, S., Chhang, P., Cho, P., Chutipong, W., Clark, C., Collins, M., Comiskey, J.A., Medina, M.N.C., Costa, F.R.C., Culmsee, H., David-Higuita, H., Davidar, P., del Aguila-Pasquel, J., Derroire, G., Di Fiore, A., Van Do, T., Doucet, J.-L., Dourdain, A., Drake, D.R., Ensslin, A., Erwin, T., Ewango, C.E.N., Ewers, R.M., Fauset, S., Feldpausch, T.R., Ferreira, J., Ferreira, L.V., Fischer, M., Franklin, J., Fredriksson, G.M., Gillespie, T.W., Gilpin, M., Gonmadje, C., Gunatilleke, A.U.N., Hakeem, K.R., Hall, J.S., Hamer, K.C., Harris, D.J., Harrison, R.D., Hector, A., Hemp, A., Herault, B., Pizango, C.G.H., Coronado, E.N.H., Hubau, W., Hussain, M.S., Ibrahim, F.-H., Imai, N., Joly, C.A., Joseph, S., Anitha, K., Kartawinata, K., Kassi, J., Killeen, T.J., Kitayama, K., Klitgård, B.B., Kooyman, R., Labrière, N., Larney, E., Laumonier, Y., Laurance, S.G., Laurance, W.F., Lawes, M.J., Levesley, A., Lisingo, J., Lovejoy, T., Lovett, J.C., Lu, X., Lykke, A.M., Magnusson, W.E., Mahayani, N.P.D., Malhi, Y., Mansor, A., Peña, J.L.M., Marimon-Junior, B.H., Marshall, A.R., Melgaco, K., Bautista, C.M., Mihindou, V., Millet, J., Milliken, W., Mohandass, D., Mendoza, A.L.M., Mugerwa, B., Nagamasu, H., Nagy, L., Seuaturien, N., Nascimento, M.T., Neill, D.A., Neto, L.M., Nilus, R., Vargas, M.P.N., Nurtjahya, E., de Araújo, R.N.O., Onrizal, O., Palacios, W.A., Palacios-Ramos, S., Parren, M., Paudel, E., Morandi, P.S., Pennington, R.T., Pickavance, G., Pipoly J.J., III, Pitman, N.C.A., Poedjirahajoe, E., Poorter, L., Poulsen, J.R., Rama Chandra Prasad, P., Prieto, A., Puyravaud, J.-P., Qie, L., Quesada, C.A., Ramírez-Angulo, H., Razafimahaimodison, J.C., Reitsma, J.M., Requena-Rojas, E.J., Correa, Z.R., Rodriguez, C.R., Roopsind, A., Rovero, F., Rozak, A., Lleras, A.R., Rutishauser, E., Rutten, G., Punchi-Manage, R., Salomão, R.P., Van Sam, H., Sarker, S.K., Satdichanh, M., Schietti, J., Schmitt, C.B., Marimon, B.S., Senbeta, F., Nath Sharma, L., Sheil, D., Sierra, R., Silva-Espejo, J.E., Silveira, M., Sonké, B., Steininger, M.K., Steinmetz, R., Stévart, T., Sukumar, R., Sultana, A., Sunderland, T.C.H., Suresh, H.S., Tang, J., Tanner, E., ter Steege, H., Terborgh, J.W., Theilade, I., Timberlake, J., Torres-Lezama, A., Umunay, P., Uriarte, M., Gamarra, L.V., van de Bult, M., van der Hout, P., Martinez, R.V., Vieira, I.C.G., Vieira, S.A., Vilanova, E., Cayo, J.V., Wang, O., Webb, C.O., Webb, E.L., White, L., Whitfeld, T.J.S., Wich, S., Willcock, S., Wiser, S.K., Young, K.R., Zakaria, R., Zang, R., Zartman, C.E., Zo-Bi, I.C., and Balslev, H.
Abstract: Aim: Palms are an iconic, diverse and often abundant component of tropical ecosystems that provide many ecosystem services. Being monocots, tree palms are evolutionarily, morphologically and physiologically distinct from other trees, and these differences have important consequences for ecosystem services (e.g., carbon sequestration and storage) and in terms of responses to climate change. We quantified global patterns of tree palm relative abundance to help improve understanding of tropical forests and reduce uncertainty about these ecosystems under climate change. Location: Tropical and subtropical moist forests. Time period: Current. Major taxa studied: Palms (Arecaceae). Methods: We assembled a pantropical dataset of 2,548 forest plots (covering 1,191 ha) and quantified tree palm (i.e., ≥10 cm diameter at breast height) abundance relative to co-occurring non-palm trees. We compared the relative abundance of tree palms across biogeographical realms and tested for associations with palaeoclimate stability, current climate, edaphic conditions and metrics of forest structure. Results: On average, the relative abundance of tree palms was more than five times larger between Neotropical locations and other biogeographical realms. Tree palms were absent in most locations outside the Neotropics but present in >80% of Neotropical locations. The relative abundance of tree palms was more strongly associated with local conditions (e.g., higher mean annual precipitation, lower soil fertility, shallower water table and lower plot mean wood density) than metrics of long-term climate stability. Life-form diversity also influenced the patterns; palm assemblages outside the Neotropics comprise many non-tree (e.g., climbing) palms. Finally, we show that tree palms can influence estimates of above-ground biomass, but the magnitude and direction of the effect require additional work. Conclusions: Tree palms are not only quintessentially tropical, but they are also overwhelmingly Neot
Published: 2020

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

Author: ter Steege, H., Prado, P.I., Lima, R.A.F., Pos, E., de Souza Coelho, L., de Andrade Lima Filho, D., Salomão, R.P., Amaral, I.L., de Almeida Matos, F.D., Castilho, C.V., Phillips, O.L., Guevara, J.E., de Jesus Veiga Carim, M., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Martins, M.P., Sabatier, D., Irume, M.V., da Silva Guimarães, J.R., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Ramos, J.F., Monteagudo Mendoza, A., Venticinque, E.M., Luize, B.G., Núñez Vargas, P., Silva, T.S.F., de Leão Novo, E.M.M., Reis, N.F.C., Terborgh, J., Manzatto, A.G., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Duque, A., Costa, F.R.C., Castaño Arboleda, N., Schöngart, J., Zartman, C.E., Killeen, T.J., Marimon, B.S., Marimon-Junior, B.H., Vasquez, R., Mostacedo, B., Demarchi, L.O., Feldpausch, T.R., Engel, J., Petronelli, P., Baraloto, C., Assis, R.L., Castellanos, H., Simon, M.F., de Medeiros, M.B., Quaresma, A., Laurance, S.G.W., Rincón, L.M., Andrade, A., Sousa, T.R., Camargo, J.L., Schietti, J., Laurance, W.F., de Queiroz, H.L., Nascimento, H.E.M., Lopes, M.A., de Sousa Farias, E., Magalhães, J.L.L., Brienen, R., Aymard C, G.A., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Lopes, A., García-Villacorta, R., Draper, F., Vicentini, A., Cornejo Valverde, F., Lloyd, J., Gomes, V.H.F., Neill, D., Alonso, A., Dallmeier, F., de Souza, F.C., Gribel, R., Arroyo, L., Carvalho, F.A., de Aguiar, D.P.P., do Amaral, D.D., Pansonato, M.P., Feeley, K.J., Berenguer, E., Fine, P.V.A., Guedes, M.C., Barlow, J., Ferreira, J., Villa, B., Peñuela Mora, M.C., Jimenez, E.M., Licona, J.C., Cerón, C., Thomas, R., Maas, P., Silveira, M., Henkel, T.W., Stropp, J., Paredes, M.R., Dexter, K.G., Daly, D., Baker, T.R., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Tello, J.S., Pena, J.L.M., Peres, C.A., Klitgaard, B., Fuentes, A., Silman, M.R., Di Fiore, A., von Hildebrand, P., Chave, J., van Andel, T.R., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., Noronha, J.C., Prieto, A., Gonzales, T., de Sá Carpanedo, R., Gonzales, G.P.G., Gómez, R.Z., de Jesus Rodrigues, D., Zent, E.L., Ruschel, A.R., Vos, V.A., Fonty, É., Junqueira, A.B., Doza, H.P.D., Hoffman, B., Zent, S., Barbosa, E.M., Malhi, Y., de Matos Bonates, L.C., de Andrade Miranda, I.P., Silva, N., Barbosa, F.R., Vela, C.I.A., Pinto, L.F.M., Rudas, A., Albuquerque, B.W., Umaña, M.N., Carrero Márquez, Y.A., van der Heijden, G., Young, K.R., Tirado, M., Correa, D.F., Sierra, R., Costa, J.B.P., Rocha, M., Vilanova Torre, E., Wang, O., Oliveira, A.A., Kalamandeen, M., Vriesendorp, C., Ramirez-Angulo, H., Holmgren, M., Nascimento, M.T., Galbraith, D., Flores, B.M., Scudeller, V.V., Cano, A., Ahuite Reategui, M.A., Mesones, I., Baider, C., Mendoza, C., Zagt, R., Urrego Giraldo, L.E., Ferreira, C., Villarroel, D., Linares-Palomino, R., Farfan-Rios, W., Casas, L.F., Cárdenas, S., Balslev, H., Torres-Lezama, A., Alexiades, M.N., Garcia-Cabrera, K., Valenzuela Gamarra, L., Valderrama Sandoval, E.H., Ramirez Arevalo, F., Hernandez, L., Sampaio, A.F., Pansini, S., Palacios Cuenca, W., de Oliveira, E.A., Pauletto, D., Levesley, A., Melgaço, K., Pickavance, G., ter Steege, H., Prado, P.I., Lima, R.A.F., Pos, E., de Souza Coelho, L., de Andrade Lima Filho, D., Salomão, R.P., Amaral, I.L., de Almeida Matos, F.D., Castilho, C.V., Phillips, O.L., Guevara, J.E., de Jesus Veiga Carim, M., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Martins, M.P., Sabatier, D., Irume, M.V., da Silva Guimarães, J.R., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Ramos, J.F., Monteagudo Mendoza, A., Venticinque, E.M., Luize, B.G., Núñez Vargas, P., Silva, T.S.F., de Leão Novo, E.M.M., Reis, N.F.C., Terborgh, J., Manzatto, A.G., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Duque, A., Costa, F.R.C., Castaño Arboleda, N., Schöngart, J., Zartman, C.E., Killeen, T.J., Marimon, B.S., Marimon-Junior, B.H., Vasquez, R., Mostacedo, B., Demarchi, L.O., Feldpausch, T.R., Engel, J., Petronelli, P., Baraloto, C., Assis, R.L., Castellanos, H., Simon, M.F., de Medeiros, M.B., Quaresma, A., Laurance, S.G.W., Rincón, L.M., Andrade, A., Sousa, T.R., Camargo, J.L., Schietti, J., Laurance, W.F., de Queiroz, H.L., Nascimento, H.E.M., Lopes, M.A., de Sousa Farias, E., Magalhães, J.L.L., Brienen, R., Aymard C, G.A., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Lopes, A., García-Villacorta, R., Draper, F., Vicentini, A., Cornejo Valverde, F., Lloyd, J., Gomes, V.H.F., Neill, D., Alonso, A., Dallmeier, F., de Souza, F.C., Gribel, R., Arroyo, L., Carvalho, F.A., de Aguiar, D.P.P., do Amaral, D.D., Pansonato, M.P., Feeley, K.J., Berenguer, E., Fine, P.V.A., Guedes, M.C., Barlow, J., Ferreira, J., Villa, B., Peñuela Mora, M.C., Jimenez, E.M., Licona, J.C., Cerón, C., Thomas, R., Maas, P., Silveira, M., Henkel, T.W., Stropp, J., Paredes, M.R., Dexter, K.G., Daly, D., Baker, T.R., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Tello, J.S., Pena, J.L.M., Peres, C.A., Klitgaard, B., Fuentes, A., Silman, M.R., Di Fiore, A., von Hildebrand, P., Chave, J., van Andel, T.R., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., Noronha, J.C., Prieto, A., Gonzales, T., de Sá Carpanedo, R., Gonzales, G.P.G., Gómez, R.Z., de Jesus Rodrigues, D., Zent, E.L., Ruschel, A.R., Vos, V.A., Fonty, É., Junqueira, A.B., Doza, H.P.D., Hoffman, B., Zent, S., Barbosa, E.M., Malhi, Y., de Matos Bonates, L.C., de Andrade Miranda, I.P., Silva, N., Barbosa, F.R., Vela, C.I.A., Pinto, L.F.M., Rudas, A., Albuquerque, B.W., Umaña, M.N., Carrero Márquez, Y.A., van der Heijden, G., Young, K.R., Tirado, M., Correa, D.F., Sierra, R., Costa, J.B.P., Rocha, M., Vilanova Torre, E., Wang, O., Oliveira, A.A., Kalamandeen, M., Vriesendorp, C., Ramirez-Angulo, H., Holmgren, M., Nascimento, M.T., Galbraith, D., Flores, B.M., Scudeller, V.V., Cano, A., Ahuite Reategui, M.A., Mesones, I., Baider, C., Mendoza, C., Zagt, R., Urrego Giraldo, L.E., Ferreira, C., Villarroel, D., Linares-Palomino, R., Farfan-Rios, W., Casas, L.F., Cárdenas, S., Balslev, H., Torres-Lezama, A., Alexiades, M.N., Garcia-Cabrera, K., Valenzuela Gamarra, L., Valderrama Sandoval, E.H., Ramirez Arevalo, F., Hernandez, L., Sampaio, A.F., Pansini, S., Palacios Cuenca, W., de Oliveira, E.A., Pauletto, D., Levesley, A., Melgaço, K., and Pickavance, G.
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. © 2020, The Author(s).
Published: 2020

16. Long-term thermal sensitivity of Earth's tropical forests

Author: Sullivan, M.J.P., Lewis, S.L., Affum-Baffoe, K., Castilho, C., Costa, F., Sanchez, A.C., Ewango, C.E.N., Hubau, W., Marimon, B., Monteagudo-Mendoza, A., Qie, L., Sonké, B., Martinez, R.V., Baker, T.R., Brienen, R.J.W., Feldpausch, T.R., Galbraith, D., Gloor, M., Malhi, Y., Aiba, S.-I., Alexiades, M.N., Almeida, E.C., de Oliveira, E.A., Dávila, E.Á., Loayza, P.A., Andrade, A., Vieira, S.A., Aragão, L.E.O.C., Araujo-Murakami, A., Arets, E.J.M.M., Arroyo, L., Ashton, P., Aymard C, G., Baccaro, F.B., Banin, L.F., Baraloto, C., Camargo, P.B., Barlow, J., Barroso, J., Bastin, J.-F., Batterman, S.A., Beeckman, H., Begne, S.K., Bennett, A.C., Berenguer, E., Berry, N., Blanc, L., Boeckx, P., Bogaert, J., Bonal, D., Bongers, F., Bradford, M., Brearley, F.Q., Brncic, T., Brown, F., Burban, B., Camargo, J.L., Castro, W., Céron, C., Ribeiro, S.C., Moscoso, V.C., Chave, J., Chezeaux, E., Clark, C.J., de Souza, F.C., Collins, M., Comiskey, J.A., Valverde, F.C., Medina, M.C., da Costa, L., Dančák, M., Dargie, G.C., Davies, S., Cardozo, N.D., de Haulleville, T., de Medeiros, M.B., Del Aguila Pasquel, J., Derroire, G., Di Fiore, A., Doucet, J.-L., Dourdain, A., Droissant, V., Duque, L.F., Ekoungoulou, R., Elias, F., Erwin, T., Esquivel-Muelbert, A., Fauset, S., Ferreira, J., Llampazo, G.F., Foli, E., Ford, A., Gilpin, M., Hall, J.S., Hamer, K.C., Hamilton, A.C., Harris, D.J., Hart, T.B., Hédl, R., Herault, B., Herrera, R., Higuchi, N., Hladik, A., Coronado, E.H., Huamantupa-Chuquimaco, I., Huasco, W.H., Jeffery, K.J., Jimenez-Rojas, E., Kalamandeen, M., Djuikouo, M.N.K., Kearsley, E., Umetsu, R.K., Kho, L.K., Killeen, T., Kitayama, K., Klitgaard, B., Koch, A., Labrière, N., Laurance, W., Laurance, S., Leal, M.E., Levesley, A., Lima, A.J.N., Lisingo, J., Lopes, A.P., Lopez-Gonzalez, G., Lovejoy, T., Lovett, J.C., Lowe, R., Magnusson, W.E., Malumbres-Olarte, J., Manzatto, ÂG., Marimon B.H., Jr, Marshall, A.R., Marthews, T., de Almeida Reis, S.M., Maycock, C., Melgaço, K., Mendoza, C., Metali, F., Mihindou, V., Milliken, W., Mitchard, E.T.A., Morandi, P.S., Mossman, H.L., Nagy, L., Nascimento, H., Neill, D., Nilus, R., Vargas, P.N., Palacios, W., Camacho, N.P., Peacock, J., Pendry, C., Peñuela Mora, M.C., Pickavance, G.C., Pipoly, J., Pitman, N., Playfair, M., Poorter, L., Poulsen, J.R., Poulsen, A.D., Preziosi, R., Prieto, A., Primack, R.B., Ramírez-Angulo, H., Reitsma, J., Réjou-Méchain, M., Correa, Z.R., de Sousa, T.R., Bayona, L.R., Roopsind, A., Rudas, A., Rutishauser, E., Abu Salim, K., Salomão, R.P., Schietti, J., Sheil, D., Silva, R.C., Espejo, J.S., Valeria, C.S., Silveira, M., Simo-Droissart, M., Simon, M.F., Singh, J., Soto Shareva, Y.C., Stahl, C., Stropp, J., Sukri, R., Sunderland, T., Svátek, M., Swaine, M.D., Swamy, V., Taedoumg, H., Talbot, J., Taplin, J., Taylor, D., Ter Steege, H., Terborgh, J., Thomas, R., Thomas, S.C., Torres-Lezama, A., Umunay, P., Gamarra, L.V., van der Heijden, G., van der Hout, P., van der Meer, P., van Nieuwstadt, M., Verbeeck, H., Vernimmen, R., Vicentini, A., Vieira, I.C.G., Torre, E.V., Vleminckx, J., Vos, V., Wang, O., White, L.J.T., Willcock, S., Woods, J.T., Wortel, V., Young, K., Zagt, R., Zemagho, L., Zuidema, P.A., Zwerts, J.A., Phillips, O.L., Sullivan, M.J.P., Lewis, S.L., Affum-Baffoe, K., Castilho, C., Costa, F., Sanchez, A.C., Ewango, C.E.N., Hubau, W., Marimon, B., Monteagudo-Mendoza, A., Qie, L., Sonké, B., Martinez, R.V., Baker, T.R., Brienen, R.J.W., Feldpausch, T.R., Galbraith, D., Gloor, M., Malhi, Y., Aiba, S.-I., Alexiades, M.N., Almeida, E.C., de Oliveira, E.A., Dávila, E.Á., Loayza, P.A., Andrade, A., Vieira, S.A., Aragão, L.E.O.C., Araujo-Murakami, A., Arets, E.J.M.M., Arroyo, L., Ashton, P., Aymard C, G., Baccaro, F.B., Banin, L.F., Baraloto, C., Camargo, P.B., Barlow, J., Barroso, J., Bastin, J.-F., Batterman, S.A., Beeckman, H., Begne, S.K., Bennett, A.C., Berenguer, E., Berry, N., Blanc, L., Boeckx, P., Bogaert, J., Bonal, D., Bongers, F., Bradford, M., Brearley, F.Q., Brncic, T., Brown, F., Burban, B., Camargo, J.L., Castro, W., Céron, C., Ribeiro, S.C., Moscoso, V.C., Chave, J., Chezeaux, E., Clark, C.J., de Souza, F.C., Collins, M., Comiskey, J.A., Valverde, F.C., Medina, M.C., da Costa, L., Dančák, M., Dargie, G.C., Davies, S., Cardozo, N.D., de Haulleville, T., de Medeiros, M.B., Del Aguila Pasquel, J., Derroire, G., Di Fiore, A., Doucet, J.-L., Dourdain, A., Droissant, V., Duque, L.F., Ekoungoulou, R., Elias, F., Erwin, T., Esquivel-Muelbert, A., Fauset, S., Ferreira, J., Llampazo, G.F., Foli, E., Ford, A., Gilpin, M., Hall, J.S., Hamer, K.C., Hamilton, A.C., Harris, D.J., Hart, T.B., Hédl, R., Herault, B., Herrera, R., Higuchi, N., Hladik, A., Coronado, E.H., Huamantupa-Chuquimaco, I., Huasco, W.H., Jeffery, K.J., Jimenez-Rojas, E., Kalamandeen, M., Djuikouo, M.N.K., Kearsley, E., Umetsu, R.K., Kho, L.K., Killeen, T., Kitayama, K., Klitgaard, B., Koch, A., Labrière, N., Laurance, W., Laurance, S., Leal, M.E., Levesley, A., Lima, A.J.N., Lisingo, J., Lopes, A.P., Lopez-Gonzalez, G., Lovejoy, T., Lovett, J.C., Lowe, R., Magnusson, W.E., Malumbres-Olarte, J., Manzatto, ÂG., Marimon B.H., Jr, Marshall, A.R., Marthews, T., de Almeida Reis, S.M., Maycock, C., Melgaço, K., Mendoza, C., Metali, F., Mihindou, V., Milliken, W., Mitchard, E.T.A., Morandi, P.S., Mossman, H.L., Nagy, L., Nascimento, H., Neill, D., Nilus, R., Vargas, P.N., Palacios, W., Camacho, N.P., Peacock, J., Pendry, C., Peñuela Mora, M.C., Pickavance, G.C., Pipoly, J., Pitman, N., Playfair, M., Poorter, L., Poulsen, J.R., Poulsen, A.D., Preziosi, R., Prieto, A., Primack, R.B., Ramírez-Angulo, H., Reitsma, J., Réjou-Méchain, M., Correa, Z.R., de Sousa, T.R., Bayona, L.R., Roopsind, A., Rudas, A., Rutishauser, E., Abu Salim, K., Salomão, R.P., Schietti, J., Sheil, D., Silva, R.C., Espejo, J.S., Valeria, C.S., Silveira, M., Simo-Droissart, M., Simon, M.F., Singh, J., Soto Shareva, Y.C., Stahl, C., Stropp, J., Sukri, R., Sunderland, T., Svátek, M., Swaine, M.D., Swamy, V., Taedoumg, H., Talbot, J., Taplin, J., Taylor, D., Ter Steege, H., Terborgh, J., Thomas, R., Thomas, S.C., Torres-Lezama, A., Umunay, P., Gamarra, L.V., van der Heijden, G., van der Hout, P., van der Meer, P., van Nieuwstadt, M., Verbeeck, H., Vernimmen, R., Vicentini, A., Vieira, I.C.G., Torre, E.V., Vleminckx, J., Vos, V., Wang, O., White, L.J.T., Willcock, S., Woods, J.T., Wortel, V., Young, K., Zagt, R., Zemagho, L., Zuidema, P.A., Zwerts, J.A., and Phillips, O.L.
Abstract: The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (-9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth's climate.
Published: 2020

17. TRY plant trait database – enhanced coverage and open access

Author: Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I.C., Leadley, P., Tautenhahn, S., Werner, G.D.A., Aakala, T., Abedi, M., Acosta, A.T.R., Adamidis, G.C., Adamson, K., Aiba, M., Albert, C.H., Alcántara, J.M., Alcázar, C.C., Aleixo, I., Ali, H., Amiaud, B., Ammer, C., Amoroso, M.M., Anand, M., Anderson, C., Anten, N., Antos, J., Apgaua, D.M.G., Ashman, T‐L, Asmara, D.H., Asner, G.P., Aspinwall, M., Atkin, O., Aubin, I., Baastrup‐Spohr, L., Bahalkeh, K., Bahn, M., Baker, T., Baker, W.J., Bakker, J.P., Baldocchi, D., Baltzer, J., Banerjee, A., Baranger, A., Barlow, J., Barneche, D.R., Baruch, Z., Bastianelli, D., Battles, J., Bauerle, W., Bauters, M., Bazzato, E., Beckmann, M., Beeckman, H., Beierkuhnlein, C., Bekker, R., Belfry, G., Belluau, M., Beloiu, M., Benavides, R., Benomar, L., Berdugo‐Lattke, M.L., Berenguer, E., Bergamin, R., Bergmann, J., Bergmann Carlucci, M., Berner, L., Bernhardt‐Römermann, M., Bigler, C., Bjorkman, A.D., Blackman, C., Blanco, C., Blonder, B., Blumenthal, D., Bocanegra‐González, K.T., Boeckx, P., Bohlman, S., Böhning‐Gaese, K., Boisvert‐Marsh, L., Bond, W., Bond‐Lamberty, B., Boom, A., Boonman, C.C.F., Bordin, K., Boughton, E.H., Boukili, V., Bowman, D.M.J.S., Bravo, S., Brendel, M.R., Broadley, M.R., Brown, K.A., Bruelheide, H., Brumnich, F., Bruun, H.H., Bruy, D., Buchanan, S.W., Bucher, S.F., Buchmann, N., Buitenwerf, R., Bunker, D.E., Bürger, J., Burrascano, S., Burslem, D.F.R.P., Butterfield, B.J., Byun, C., Marques, M., Scalon, M.C., Caccianiga, M., Cadotte, M., Cailleret, M., Camac, J., Camarero, J.J., Campany, C., Campetella, G., Campos, J.A., Cano‐Arboleda, L., Canullo, R., Carbognani, M., Carvalho, F., Casanoves, F., Castagneyrol, B., Catford, J.A., Cavender‐Bares, J., Cerabolini, B.E.L., Cervellini, M., Chacón‐Madrigal, E., Chapin, K., Chapin, F.S., Chelli, S., Chen, S‐C, Chen, A., Cherubini, P., Chianucci, F., Choat, B., Chung, K‐S, Chytrý, M., Ciccarelli, D., Coll, L., Collins, C.G., Conti, L., Coomes, D., Cornelissen, J.H.C., Cornwell, W.K., Corona, P., Coyea, M., Craine, J., Craven, D., Cromsigt, J.P.G.M., Csecserits, A., Cufar, K., Cuntz, M., Silva, A.C., Dahlin, K.M., Dainese, M., Dalke, I., Dalle Fratte, M., Dang‐Le, A.T., Danihelka, J., Dannoura, M., Dawson, S., Beer, A.J., De Frutos, A., De Long, J.R., Dechant, B., Delagrange, S., Delpierre, N., Derroire, G., Dias, A.S., Diaz‐Toribio, M.H., Dimitrakopoulos, P.G., Dobrowolski, M., Doktor, D., Dřevojan, P., Dong, N., Dransfield, J., Dressler, S., Duarte, L., Ducouret, E., Dullinger, S., Durka, W., Duursma, R., Dymova, O., E‐Vojtkó, A., Eckstein, R.L., Ejtehadi, H., Elser, J., Emilio, T., Engemann, K., Erfanian, M.B., Erfmeier, A., Esquivel‐Muelbert, A., Esser, G., Estiarte, M., Domingues, T.F., Fagan, W.F., Fagúndez, J., Falster, D.S., Fan, Y., Fang, J., Farris, E., Fazlioglu, F., Feng, Y., Fernandez‐Mendez, F., Ferrara, C., Ferreira, J., Fidelis, A., Finegan, B., Firn, J., Flowers, T.J., Flynn, D.F.B., Fontana, V., Forey, E., Forgiarini, C., François, L., Frangipani, M., Frank, D., Frenette‐Dussault, C., Freschet, G.T., Fry, E.L., Fyllas, N.M., Mazzochini, G.G., Gachet, S., Gallagher, R., Ganade, G., Ganga, F., García‐Palacios, P., Gargaglione, V., Garnier, E., Garrido, J.L., Gasper, A.L., Gea‐Izquierdo, G., Gibson, D., Gillison, A.N., Giroldo, A., Glasenhardt, M‐C, Gleason, S., Gliesch, M., Goldberg, E., Göldel, B., Gonzalez‐Akre, E., Gonzalez‐Andujar, J.L., González‐Melo, A., González‐Robles, A., Graae, B.J., Granda, E., Graves, S., Green, W.A., Gregor, T., Gross, N., Guerin, G.R., Günther, A., Gutiérrez, A.G., Haddock, L., Haines, A., Hall, J., Hambuckers, A., Han, W., Harrison, S.P., Hattingh, W., Hawes, J.E., He, T., He, P., Heberling, J.M., Helm, A., Hempel, S., Hentschel, J., Hérault, B., Hereş, A‐M, Herz, K., Heuertz, M., Hickler, T., Hietz, P., Higuchi, P., Hipp, A.L., Hirons, A., Hock, M., Hogan, J.A., Holl, K., Honnay, O., Hornstein, D., Hou, E., Hough‐Snee, N., Hovstad, K.A., 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P.L., Petisco‐Souza, A.C., Petraglia, A., Petritan, A.M., Phillips, O.L., Pierce, S., Pillar, V.D., Pisek, J., Pomogaybin, A., Poorter, H., Portsmuth, A., Poschlod, P., Potvin, C., Pounds, D., Powell, A.S., Power, S.A., Prinzing, A., Puglielli, G., Pyšek, P., Raevel, V., Rammig, A., Ransijn, J., Ray, C.A., Reich, P.B., Reichstein, M., Reid, D.E. 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Valderrama, M.Y., Vassilev, K., Vellend, M., Veneklaas, E.J., Verbeeck, H., Verheyen, K., Vibrans, A., Vieira, I., Villacís, J., Violle, C., Vivek, P., Wagner, K., Waldram, M., Waldron, A., Walker, A.P., Waller, M., Walther, G., Wang, H., Wang, F., Wang, W., Watkins, H., Watkins, J., Weber, U., Weedon, J.T., Wei, L., Weigelt, P., Weiher, E., Wells, A.W., Wellstein, C., Wenk, E., Westoby, M., Westwood, A., White, P.J., Whitten, M., Williams, M., Winkler, D.E., Winter, K., Womack, C., Wright, I.J., Wright, S.J., Wright, J., Pinho, B.X., Ximenes, F., Yamada, T., Yamaji, K., Yanai, R., Yankov, N., Yguel, B., Zanini, K.J., Zanne, A.E., Zelený, D., Zhao, Y‐P, Zheng, J., Ziemińska, K., Zirbel, C.R., Zizka, G., Zo‐Bi, I.C., Zotz, G., Wirth, C., Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I.C., Leadley, P., Tautenhahn, S., Werner, G.D.A., Aakala, T., Abedi, M., Acosta, A.T.R., Adamidis, G.C., Adamson, K., Aiba, M., Albert, C.H., Alcántara, J.M., Alcázar, C.C., Aleixo, I., 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Garrido, J.L., Gasper, A.L., Gea‐Izquierdo, G., Gibson, D., Gillison, A.N., Giroldo, A., Glasenhardt, M‐C, Gleason, S., Gliesch, M., Goldberg, E., Göldel, B., Gonzalez‐Akre, E., Gonzalez‐Andujar, J.L., González‐Melo, A., González‐Robles, A., Graae, B.J., Granda, E., Graves, S., Green, W.A., Gregor, T., Gross, N., Guerin, G.R., Günther, A., Gutiérrez, A.G., Haddock, L., Haines, A., Hall, J., Hambuckers, A., Han, W., Harrison, S.P., Hattingh, W., Hawes, J.E., He, T., He, P., Heberling, J.M., Helm, A., Hempel, S., Hentschel, J., Hérault, B., Hereş, A‐M, Herz, K., Heuertz, M., Hickler, T., Hietz, P., Higuchi, P., Hipp, A.L., Hirons, A., Hock, M., Hogan, J.A., Holl, K., Honnay, O., Hornstein, D., Hou, E., Hough‐Snee, N., Hovstad, K.A., Ichie, T., Igić, B., Illa, E., Isaac, M., Ishihara, M., Ivanov, L., Ivanova, L., Iversen, C.M., Izquierdo, J., Jackson, R.B., Jackson, B., Jactel, H., Jagodzinski, A.M., Jandt, U., Jansen, S., Jenkins, T., Jentsch, A., Jespersen, J.R.P., Jiang, G‐F, Johansen, J.L., Johnson, D., Jokela, E.J., Joly, C.A., Jordan, G.J., Joseph, G.S., Junaedi, D., Junker, R.R., Justes, E., Kabzems, R., Kane, J., Kaplan, Z., Kattenborn, T., Kavelenova, L., Kearsley, E., Kempel, A., Kenzo, T., Kerkhoff, A., Khalil, M.I., Kinlock, N.L., Kissling, W.D., Kitajima, K., Kitzberger, T., Kjøller, R., Klein, T., Kleyer, M., Klimešová, J., Klipel, J., Kloeppel, B., Klotz, S., Knops, J.M.H., Kohyama, T., Koike, F., Kollmann, J., Komac, B., Komatsu, K., König, C., Kraft, N.J.B., Kramer, K.., Kreft, H., Kühn, I., Kumarathunge, D., Kuppler, J., Kurokawa, H., Kurosawa, Y., Kuyah, S., Laclau, J‐P, Lafleur, B., Lallai, E., Lamb, E., Lamprecht, A., Larkin, D.J., Laughlin, D., Le Bagousse‐Pinguet, Y., Maire, G., Roux, P.C., Roux, E., Lee, T., Lens, F., Lewis, S.L., Lhotsky, B., Li, Y., Li, X., Lichstein, J.W., Liebergesell, M., Lim, J.Y., Lin, Y‐S, Linares, J.C., Liu, C., Liu, D., Liu, U., Livingstone, S., Llusià, J., Lohbeck, M., López‐García, Á., 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L., Mueller, S., Muir, C.D., Müller, S.C., Munoz, F., Myers‐Smith, I.H., Myster, R.W., Nagano, M., Naidu, S., Narayanan, A., Natesan, B., Negoita, L., Nelson, A.S., Neuschulz, E.L., Ni, J., Niedrist, G., Nieto, J., Niinemets, Ü., Nolan, R., Nottebrock, H., Nouvellon, Y., Novakovskiy, A., Nystuen, K.O., O'Grady, A., O'Hara, K., O'Reilly‐Nugent, A., Oakley, S., Oberhuber, W., Ohtsuka, T., Oliveira, R., Öllerer, K., Olson, M.E., Onipchenko, V., Onoda, Y., Onstein, R.E., Ordonez, J.C., Osada, N., Ostonen, I., Ottaviani, G., Otto, S., Overbeck, G.E., Ozinga, W.A., Pahl, A.T., Paine, C.E.T., Pakeman, R.J., Papageorgiou, A.C., Parfionova, E., Pärtel, M., Patacca, M., Paula, S., Paule, J., Pauli, H., Pausas, J.G., Peco, B., Penuelas, J., Perea, A., Peri, P.L., Petisco‐Souza, A.C., Petraglia, A., Petritan, A.M., Phillips, O.L., Pierce, S., Pillar, V.D., Pisek, J., Pomogaybin, A., Poorter, H., Portsmuth, A., Poschlod, P., Potvin, C., Pounds, D., Powell, A.S., Power, S.A., Prinzing, A., 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B., Réjou‐Méchain, M., Dios, V.R., Ribeiro, S., Richardson, S., Riibak, K., Rillig, M.C., Riviera, F., Robert, E.M.R., Roberts, S., Robroek, B., Roddy, A., Rodrigues, A.V., Rogers, A., Rollinson, E., Rolo, V., Römermann, C., Ronzhina, D., Roscher, C., Rosell, J.A., Rosenfield, M.F., Rossi, C., Roy, D.B., Royer‐Tardif, S., Rüger, N., Ruiz‐Peinado, R., Rumpf, S.B., Rusch, G.M., Ryo, M., Sack, L., Saldaña, A., Salgado‐Negret, B., Salguero‐Gomez, R., Santa‐Regina, I., Santacruz‐García, A.C., Santos, J., Sardans, J., Schamp, B., Scherer‐Lorenzen, M., Schleuning, M., Schmid, B., Schmidt, M., Schmitt, S., Schneider, J.V., Schowanek, S.D., Schrader, J., Schrodt, F., Schuldt, B., Schurr, F., Selaya Garvizu, G., Semchenko, M., Seymour, C., Sfair, J.C., Sharpe, J.M., Sheppard, C.S., Sheremetiev, S., Shiodera, S., Shipley, B., Shovon, T.A., Siebenkäs, A., Sierra, C., Silva, V., Silva, M., Sitzia, T., Sjöman, H., Slot, M., Smith, N.G., Sodhi, D., Soltis, P., Soltis, D., Somers, B., Sonnier, G., Sørensen, M.V., Sosinski, E.E., Soudzilovskaia, N.A., Souza, A.F., Spasojevic, M., Sperandii, M.G., Stan, A.B., Stegen, J., Steinbauer, K., Stephan, J.G., Sterck, F., Stojanovic, D.B., Strydom, T., Suarez, M.L., Svenning, J‐C, Svitková, I., Svitok, M., Svoboda, M., Swaine, E., Swenson, N., Tabarelli, M., Takagi, K., Tappeiner, U., Tarifa, R., Tauugourdeau, S., Tavsanoglu, C., Beest, M., Tedersoo, L., Thiffault, N., Thom, D., Thomas, E., Thompson, K., Thornton, P.E., Thuiller, W., Tichý, L., Tissue, D., Tjoelker, M.G., Tng, D.Y.P., Tobias, J., Török, P., Tarin, T., Torres‐Ruiz, J.M., Tóthmérész, B., Treurnicht, M., Trivellone, V., Trolliet, F., Trotsiuk, V., Tsakalos, J.L., Tsiripidis, I., Tysklind, N., Umehara, T., Usoltsev, V., Vadeboncoeur, M., Vaezi, J., Valladares, F., Vamosi, J., Bodegom, P.M., Breugel, M., Van Cleemput, E., Weg, M., Merwe, S., Plas, F., Sande, M.T., Kleunen, M., Van Meerbeek, K., Vanderwel, M., Vanselow, K.A., Vårhammar, A., Varone, L., Vasquez Valderrama, M.Y., Vassilev, K., Vellend, M., Veneklaas, E.J., Verbeeck, H., Verheyen, K., Vibrans, A., Vieira, I., Villacís, J., Violle, C., Vivek, P., Wagner, K., Waldram, M., Waldron, A., Walker, A.P., Waller, M., Walther, G., Wang, H., Wang, F., Wang, W., Watkins, H., Watkins, J., Weber, U., Weedon, J.T., Wei, L., Weigelt, P., Weiher, E., Wells, A.W., Wellstein, C., Wenk, E., Westoby, M., Westwood, A., White, P.J., Whitten, M., Williams, M., Winkler, D.E., Winter, K., Womack, C., Wright, I.J., Wright, S.J., Wright, J., Pinho, B.X., Ximenes, F., Yamada, T., Yamaji, K., Yanai, R., Yankov, N., Yguel, B., Zanini, K.J., Zanne, A.E., Zelený, D., Zhao, Y‐P, Zheng, J., Ziemińska, K., Zirbel, C.R., Zizka, G., Zo‐Bi, I.C., Zotz, G., and Wirth, C.
Abstract: Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Published: 2020

18. Rarity of monodominance in hyperdiverse Amazonian forests

Author: Ter Steege, H., Henkel, T.W., Helal, N., Marimon, B.S., Marimon-Junior, B.H., Huth, A., Groeneveld, J., Sabatier, D., Coelho, L.S., Filho, D.A.L., Salomão, R.P., Amaral, I.L., Matos, F.D.A., Castilho, C.V., Phillips, O.L., Guevara, J.E., Carim, M.J.V., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Irume, M.V., Martins, M.P., Guimarães, J.R.D.S., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Mendoza, A.M., Ramos, J.F., Luize, B.G., Moraes de Leão Novo, E.M., Núñez Vargas, P., Silva, T.S.F., Venticinque, E.M., Manzatto, A.G., Reis, N.F.C., Terborgh, J., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Feldpausch, T.R., Duque, A., Costa, F.R.C., Arboleda, N.C., Schöngart, J., Killeen, T.J., Vasquez, R., Mostacedo, B., Demarchi, L.O., Assis, R.L., Baraloto, C., Engel, J., Petronelli, P., Castellanos, H., de Medeiros, M.B., Quaresma, A., Simon, M.F., Andrade, A., Camargo, J.L., Laurance, S.G.W., Laurance, W.F., Rincón, L.M., Schietti, J., Sousa, T.R., de Sousa Farias, E., Lopes, M.A., Magalhães, J.L.L., Mendonça Nascimento, H.E., Lima de Queiroz, H., Aymard C, G.A., Brienen, R., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Draper, F., García-Villacorta, R., Lopes, A., Vicentini, A., Alonso, A., Dallmeier, F., Gomes, V.H.F., Lloyd, J., Neill, D., de Aguiar, D.P.P., Arroyo, L., Carvalho, F.A., de Souza, F.C., do Amaral, D.D., Feeley, K.J., Gribel, R., Pansonato, M.P., Barlow, J., Berenguer, E., Ferreira, J., Fine, P.V.A., Guedes, M.C., Jimenez, E.M., Licona, J.C., Peñuela Mora, M.C., Villa, B., Cerón, C., Maas, P., Silveira, M., Stropp, J., Thomas, R., Baker, T.R., Daly, D., Dexter, K.G., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Ríos Paredes, M., Fuentes, A., Klitgaard, B., Pena, J.L.M., Peres, C.A., Silman, M.R., Tello, J.S., Chave, J., Cornejo Valverde, F., Di Fiore, A., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., van Andel, T.R., von Hildebrand, P., Noronha, J.C., Barbosa, E.M., Barbosa, F.R., de Matos Bonates, L.C., Carpanedo, R.S., Dávila Doza, H.P., Fonty, É., GómeZárate Z, R., Gonzales, T., Gallardo Gonzales, G.P., Hoffman, B., Junqueira, A.B., Malhi, Y., Miranda, I.P.A., Pinto, L.F.M., Prieto, A., Rodrigues, D.J., Rudas, A., Ruschel, A.R., Silva, N., Vela, C.I.A., Vos, V.A., Zent, E.L., Zent, S., Weiss Albuquerque, B., Cano, A., Carrero Márquez, Y.A., Correa, D.F., Costa, J.B.P., Flores, B.M., Galbraith, D., Holmgren, M., Kalamandeen, M., Nascimento, M.T., Oliveira, A.A., Ramirez-Angulo, H., Rocha, M., Scudeller, V.V., Sierra, R., Tirado, M., Umaña Medina, M.N., van der Heijden, G., Vilanova Torre, E., Vriesendorp, C., Wang, O., Young, K.R., Ahuite Reategui, M.A., Baider, C., Balslev, H., Cárdenas, S., Casas, L.F., Farfan-Rios, W., Ferreira, C., Linares-Palomino, R., Mendoza, C., Mesones, I., Torres-Lezama, A., Giraldo, L.E.U., Villarroel, D., Zagt, R., Alexiades, M.N., de Oliveira, E.A., Garcia-Cabrera, K., Hernandez, L., Palacios Cuenca, W., Pansini, S., Pauletto, D., Ramirez Arevalo, F., Sampaio, A.F., Sandoval, E.H.V., Valenzuela Gamarra, L., Levesley, A., Pickavance, G., Melgaço, K., Ter Steege, H., Henkel, T.W., Helal, N., Marimon, B.S., Marimon-Junior, B.H., Huth, A., Groeneveld, J., Sabatier, D., Coelho, L.S., Filho, D.A.L., Salomão, R.P., Amaral, I.L., Matos, F.D.A., Castilho, C.V., Phillips, O.L., Guevara, J.E., Carim, M.J.V., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Irume, M.V., Martins, M.P., Guimarães, J.R.D.S., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Mendoza, A.M., Ramos, J.F., Luize, B.G., Moraes de Leão Novo, E.M., Núñez Vargas, P., Silva, T.S.F., Venticinque, E.M., Manzatto, A.G., Reis, N.F.C., Terborgh, J., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Feldpausch, T.R., Duque, A., Costa, F.R.C., Arboleda, N.C., Schöngart, J., Killeen, T.J., Vasquez, R., Mostacedo, B., Demarchi, L.O., Assis, R.L., Baraloto, C., Engel, J., Petronelli, P., Castellanos, H., de Medeiros, M.B., Quaresma, A., Simon, M.F., Andrade, A., Camargo, J.L., Laurance, S.G.W., Laurance, W.F., Rincón, L.M., Schietti, J., Sousa, T.R., de Sousa Farias, E., Lopes, M.A., Magalhães, J.L.L., Mendonça Nascimento, H.E., Lima de Queiroz, H., Aymard C, G.A., Brienen, R., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Draper, F., García-Villacorta, R., Lopes, A., Vicentini, A., Alonso, A., Dallmeier, F., Gomes, V.H.F., Lloyd, J., Neill, D., de Aguiar, D.P.P., Arroyo, L., Carvalho, F.A., de Souza, F.C., do Amaral, D.D., Feeley, K.J., Gribel, R., Pansonato, M.P., Barlow, J., Berenguer, E., Ferreira, J., Fine, P.V.A., Guedes, M.C., Jimenez, E.M., Licona, J.C., Peñuela Mora, M.C., Villa, B., Cerón, C., Maas, P., Silveira, M., Stropp, J., Thomas, R., Baker, T.R., Daly, D., Dexter, K.G., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Ríos Paredes, M., Fuentes, A., Klitgaard, B., Pena, J.L.M., Peres, C.A., Silman, M.R., Tello, J.S., Chave, J., Cornejo Valverde, F., Di Fiore, A., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., van Andel, T.R., von Hildebrand, P., Noronha, J.C., Barbosa, E.M., Barbosa, F.R., de Matos Bonates, L.C., Carpanedo, R.S., Dávila Doza, H.P., Fonty, É., GómeZárate Z, R., Gonzales, T., Gallardo Gonzales, G.P., Hoffman, B., Junqueira, A.B., Malhi, Y., Miranda, I.P.A., Pinto, L.F.M., Prieto, A., Rodrigues, D.J., Rudas, A., Ruschel, A.R., Silva, N., Vela, C.I.A., Vos, V.A., Zent, E.L., Zent, S., Weiss Albuquerque, B., Cano, A., Carrero Márquez, Y.A., Correa, D.F., Costa, J.B.P., Flores, B.M., Galbraith, D., Holmgren, M., Kalamandeen, M., Nascimento, M.T., Oliveira, A.A., Ramirez-Angulo, H., Rocha, M., Scudeller, V.V., Sierra, R., Tirado, M., Umaña Medina, M.N., van der Heijden, G., Vilanova Torre, E., Vriesendorp, C., Wang, O., Young, K.R., Ahuite Reategui, M.A., Baider, C., Balslev, H., Cárdenas, S., Casas, L.F., Farfan-Rios, W., Ferreira, C., Linares-Palomino, R., Mendoza, C., Mesones, I., Torres-Lezama, A., Giraldo, L.E.U., Villarroel, D., Zagt, R., Alexiades, M.N., de Oliveira, E.A., Garcia-Cabrera, K., Hernandez, L., Palacios Cuenca, W., Pansini, S., Pauletto, D., Ramirez Arevalo, F., Sampaio, A.F., Sandoval, E.H.V., 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

19. Compositional response of Amazon forests to climate change

Author: Esquivel-Muelbert, A., Baker, T.R., Dexter, K.G., Lewis, S.L., Brienen, R.J.W., Feldpausch, T.R., Lloyd, J., Monteagudo-Mendoza, A., Arroyo, L., Álvarez-Dávila, E., Higuchi, N., Marimon, B.S., Marimon-Junior, B.H., Silveira, M., Vilanova, E., Gloor, E., Malhi, Y., Chave, J., Barlow, J., Bonal, D., Davila Cardozo, N., Erwin, T., Fauset, S., Hérault, B., Laurance, S., Poorter, L., Qie, L., Stahl, C., Sullivan, M.J.P., ter Steege, H., Vos, V.A., Zuidema, P.A., Almeida, E., Almeida de Oliveira, E., Andrade, A., Vieira, S.A., Aragão, L., Araujo-Murakami, A., Arets, E., Aymard C, G.A., Baraloto, C., Camargo, P.B., Barroso, J.G., Bongers, F., Boot, R., Camargo, J.L., Castro, W., Chama Moscoso, V., Comiskey, J., Cornejo Valverde, F., Lola da Costa, A.C., del Aguila Pasquel, J., Di Fiore, A., Fernanda Duque, L., Elias, F., Engel, J., Flores Llampazo, G., Galbraith, D., Herrera Fernández, R., Honorio Coronado, E., Hubau, W., Jimenez-Rojas, E., Lima, A.J.N., Umetsu, R.K., Laurance, W., Lopez-Gonzalez, G., Lovejoy, T., Aurelio Melo Cruz, O., Morandi, P.S., Neill, D., Núñez Vargas, P., Pallqui Camacho, N.C., Parada Gutierrez, A., Pardo, G., Peacock, J., Peña-Claros, M., Peñuela-Mora, M.C., Petronelli, P., Pickavance, G.C., Pitman, N., Prieto, A., Quesada, C., Ramírez-Angulo, H., Réjou-Méchain, M., Restrepo Correa, Z., Roopsind, A., Rudas, A., Salomão, R., Silva, N., Silva Espejo, J., Singh, J., Stropp, J., Terborgh, J., Thomas, R., Toledo, M., Torres-Lezama, A., Valenzuela Gamarra, L., van de Meer, P.J., van der Heijden, G., van der Hout, P., Vasquez Martinez, R., Vela, C., Vieira, I.C.G., Phillips, O.L., Esquivel-Muelbert, A., Baker, T.R., Dexter, K.G., Lewis, S.L., Brienen, R.J.W., Feldpausch, T.R., Lloyd, J., Monteagudo-Mendoza, A., Arroyo, L., Álvarez-Dávila, E., Higuchi, N., Marimon, B.S., Marimon-Junior, B.H., Silveira, M., Vilanova, E., Gloor, E., Malhi, Y., Chave, J., Barlow, J., Bonal, D., Davila Cardozo, N., Erwin, T., Fauset, S., Hérault, B., Laurance, S., Poorter, L., Qie, L., Stahl, C., Sullivan, M.J.P., ter Steege, H., Vos, V.A., Zuidema, P.A., Almeida, E., Almeida de Oliveira, E., Andrade, A., Vieira, S.A., Aragão, L., Araujo-Murakami, A., Arets, E., Aymard C, G.A., Baraloto, C., Camargo, P.B., Barroso, J.G., Bongers, F., Boot, R., Camargo, J.L., Castro, W., Chama Moscoso, V., Comiskey, J., Cornejo Valverde, F., Lola da Costa, A.C., del Aguila Pasquel, J., Di Fiore, A., Fernanda Duque, L., Elias, F., Engel, J., Flores Llampazo, G., Galbraith, D., Herrera Fernández, R., Honorio Coronado, E., Hubau, W., Jimenez-Rojas, E., Lima, A.J.N., Umetsu, R.K., Laurance, W., Lopez-Gonzalez, G., Lovejoy, T., Aurelio Melo Cruz, O., Morandi, P.S., Neill, D., Núñez Vargas, P., Pallqui Camacho, N.C., Parada Gutierrez, A., Pardo, G., Peacock, J., Peña-Claros, M., Peñuela-Mora, M.C., Petronelli, P., Pickavance, G.C., Pitman, N., Prieto, A., Quesada, C., Ramírez-Angulo, H., Réjou-Méchain, M., Restrepo Correa, Z., Roopsind, A., Rudas, A., Salomão, R., Silva, N., Silva Espejo, J., Singh, J., Stropp, J., Terborgh, J., Thomas, R., Toledo, M., Torres-Lezama, A., Valenzuela Gamarra, L., van de Meer, P.J., van der Heijden, G., van der Hout, P., Vasquez Martinez, R., Vela, C., Vieira, I.C.G., and Phillips, O.L.
Abstract: 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 CO 2 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 CO 2 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.
Published: 2019

20. A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach

Author: Shchepashchenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Banki, O., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S.Y., Bissiengou, P., Blanc, L., Bobkova, K.S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Doff Sotta, E., d'Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K., Susanty, F.H., Higuchi, N., Honorio Coronado, E.N., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Konan, J.K., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon Junior, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M.S., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Monteagudo-Mendoza, A., Morozyuk, O.V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A.F., Gutierrez, A.P., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silva-Espejo, J.E., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Sullivan, M.J.P., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Valenzuela Gamarra, L.V., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T.A.P., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Zamah Shari, N.H., Zo-Bi, I.C., Shchepashchenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Banki, O., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S.Y., Bissiengou, P., Blanc, L., Bobkova, K.S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Doff Sotta, E., d'Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K., Susanty, F.H., Higuchi, N., Honorio Coronado, E.N., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Konan, J.K., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon Junior, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M.S., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Monteagudo-Mendoza, A., Morozyuk, O.V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A.F., Gutierrez, A.P., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silva-Espejo, J.E., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Sullivan, M.J.P., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Valenzuela Gamarra, L.V., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T.A.P., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Zamah Shari, N.H., and Zo-Bi, I.C.
Abstract: Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities. Live, most up-to-date dataset is available at https://forest-observation-system.net
Published: 2019

21. The Importance of Consistent Global Forest Aboveground Biomass Product Validation

Author: Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., Crowther, T.W., Falkowski, M., Kellner, J.R., Labrière, N., Lucas, R., Macbean, N., Mcroberts, R.E., Meyer, V., Næsset, E., Nickeson, J.E., Paul, K.I., Phillips, O.L., Réjou-méchain, M., Román, M., Roxburgh, S., Saatchi, S., Schepaschenko, D., Scipal, K., Siqueira, P.R., Whitehurst, A., Williams, M., Duncanson, L., Armston, J., Disney, M., Avitabile, V., Barbier, N., Calders, K., Carter, S., Chave, J., Herold, M., Crowther, T.W., Falkowski, M., Kellner, J.R., Labrière, N., Lucas, R., Macbean, N., Mcroberts, R.E., Meyer, V., Næsset, E., Nickeson, J.E., Paul, K.I., Phillips, O.L., Réjou-méchain, M., Román, M., Roxburgh, S., Saatchi, S., Schepaschenko, D., Scipal, K., Siqueira, P.R., Whitehurst, A., and Williams, M.
Abstract: Several upcoming satellite missions have core science requirements to produce data for accurate forest aboveground biomass mapping. Largely because of these mission datasets, the number of available biomass products is expected to greatly increase over the coming decade. Despite the recognized importance of biomass mapping for a wide range of science, policy and management applications, there remains no community accepted standard for satellite-based biomass map validation. The Committee on Earth Observing Satellites (CEOS) is developing a protocol to fill this need in advance of the next generation of biomass-relevant satellites, and this paper presents a review of biomass validation practices from a CEOS perspective. We outline the wide range of anticipated user requirements for product accuracy assessment and provide recommendations for the validation of biomass products. These recommendations include the collection of new, high-quality in situ data and the use of airborne lidar biomass maps as tools toward transparent multi-resolution validation. Adoption of community-vetted validation standards and practices will facilitate the uptake of the next generation of biomass products.
Published: 2019

22. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Author: Schepaschenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S., Bissiengou, P., Blanc, L., Bobkova, .S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Sotta, E.D., d’Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K.C., Susanty, F.H., Higuchi, N., Coronado, E.N.H., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V.V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Koffi, J.-C., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Mendoza, A.M., Moroziuk, Olga V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V.G., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Stonozhenko, L., Sullivan, M., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Gamarra, L.V., Vasiliev, S., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Nur Hajar, Z., Zo-Bi, I., Schepaschenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S., Bissiengou, P., Blanc, L., Bobkova, .S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Sotta, E.D., d’Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K.C., Susanty, F.H., Higuchi, N., Coronado, E.N.H., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V.V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Koffi, J.-C., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Mendoza, A.M., Moroziuk, Olga V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V.G., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Stonozhenko, L., Sullivan, M., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Gamarra, L.V., Vasiliev, S., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Nur Hajar, Z., and Zo-Bi, I.
Abstract: Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.
Published: 2019

23. Ground Data are Essential for Biomass Remote Sensing Missions

Author: Chave, J., Davies, S.J., Phillips, O.L., Lewis, S.L., Sist, P., Schepaschenko, D., Armston, J., Baker, T.R., Coomes, D., Disney, M., Duncanson, L., Hérault, B., Labrière, N., Meyer, V., Réjou-Méchain, M., Scipal, K., Saatchi, S., Chave, J., Davies, S.J., Phillips, O.L., Lewis, S.L., Sist, P., Schepaschenko, D., Armston, J., Baker, T.R., Coomes, D., Disney, M., Duncanson, L., Hérault, B., Labrière, N., Meyer, V., Réjou-Méchain, M., Scipal, K., and Saatchi, S.
Abstract: Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these ‘supersites’. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved.
Published: 2019

24. Global trait–environment relationships of plant communities

Author: Bruelheide, H., Dengler, J., Purschke, O., Lenoir, J., Jiménez‐Alfaro, B., Hennekens, S.M., Botta-Dukát, Z., Chytrý, 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-Dávila, E., Khan, M.A.S.A., Attorre, F., Aubin, I., Baraloto, C., Barroso, J.G., Bauters, M., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Blonder, B., Čarni, A., Cayuela, L., Černý, T., Cornelissen, J.H.C., Craven, Dylan, Dainese, M., Derroire, G., De Sanctis, M., Díaz, S., Doležal, J., Farfan-Rios, W., Feldpausch, T.R., Fenton, N.J., Garnier, E., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hattab, T., Henry, G., Hérault, B., Higuchi, P., Hölzel, N., Homeier, J., Jentsch, A., Jürgens, N., Kącki, Z., Karger, D.N., Kessler, M., Kleyer, M., Knollová, I., Korolyuk, A.Y., Kühn, Ingolf, Laughlin, D.C., Lens, F., Loos, J., Louault, F., Lyubenova, M.I., Malhi, Y., Marcenò, C., Mencuccini, M., Müller, J.V., Munzinger, J., Myers-Smith, I.H., Neill, D.A., Niinemets, Ü., Orwin, K.H., Ozinga, W.A., Penuelas, J., Pérez-Haase, A., Petřík, P., Phillips, O.L., Pärtel, M., Reich, P.B., Römermann, 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, Risto, Weiher, E., Bruelheide, H., Dengler, J., Purschke, O., Lenoir, J., Jiménez‐Alfaro, B., Hennekens, S.M., Botta-Dukát, Z., Chytrý, 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-Dávila, E., Khan, M.A.S.A., Attorre, F., Aubin, I., Baraloto, C., Barroso, J.G., Bauters, M., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Blonder, B., Čarni, A., Cayuela, L., Černý, T., Cornelissen, J.H.C., Craven, Dylan, Dainese, M., Derroire, G., De Sanctis, M., Díaz, S., Doležal, J., Farfan-Rios, W., Feldpausch, T.R., Fenton, N.J., Garnier, E., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hattab, T., Henry, G., Hérault, B., Higuchi, P., Hölzel, N., Homeier, J., Jentsch, A., Jürgens, N., Kącki, Z., Karger, D.N., Kessler, M., Kleyer, M., Knollová, I., Korolyuk, A.Y., Kühn, Ingolf, Laughlin, D.C., Lens, F., Loos, J., Louault, F., Lyubenova, M.I., Malhi, Y., Marcenò, C., Mencuccini, M., Müller, J.V., Munzinger, J., Myers-Smith, I.H., Neill, D.A., Niinemets, Ü., Orwin, K.H., Ozinga, W.A., Penuelas, J., Pérez-Haase, A., Petřík, P., Phillips, O.L., Pärtel, M., Reich, P.B., Römermann, 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, Risto, and Weiher, E.
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

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

Author: Levis, C., Costa, F.R.C., Bongers, F., Pena-Claros, M., Clement, C.R., Junqueira, A.B., Neves, E.G., Tamanaha, E.K., Figueiredo, R.P., Salomao, R.P., Castilho, C.V., Magnusson, W.E., Phillips, O.L., Guevara, J.E., Sabatier, Daniel, and Molino, Jean-François
Abstract: The extent to which pre-Columbian societies altered Amazonian landscapes is hotly debated. We performed a basin-wide analysis of pre-Columbian impacts on Amazonian forests by overlaying known archaeological sites in Amazonia with the distributions and abundances of 85 woody species domesticated by pre-Columbian peoples. Domesticated species are five times more likely than nondomesticated species to be hyperdominant. Across the basin, the relative abundance and richness of domesticated species increase in forests on and around archaeological sites. In southwestern and eastern Amazonia, distance to archaeological sites strongly influences the relative abundance and richness of domesticated species. Our analyses indicate that modern tree communities in Amazonia are structured to an important extent by a long history of plant domestication by Amazonian peoples.
Published: 2017

26. Long-term decline of Amazon carbon the sink

Author: Brienen, R.J.W., Phillips, O.L., Feldpausch, T., Gloor, E., Baker, T.R., Arets, E.J.M.M., Pena Claros, M., and Poorter, L.
Subjects: plots, biomass, growth, experimental drought, food and beverages, Soil Biology, PE&RC, sensitivity, Forest Ecology and Forest Management, tropical rain-forests, turnover rates, wood productivity, tree mortality, co2, Vegetatie, Bos- en Landschapsecologie, Bosecologie en Bosbeheer, Vegetation, Forest and Landscape Ecology, Bodembiologie
Abstract: Atmospheric carbon dioxide records indicate that the land surface has acted as a strong global carbon sink over recent decades1, 2, with a substantial fraction of this sink probably located in the tropics3, particularly in the Amazon4. Nevertheless, it is unclear how the terrestrial carbon sink will evolve as climate and atmospheric composition continue to change. Here we analyse the historical evolution of the biomass dynamics of the Amazon rainforest over three decades using a distributed network of 321 plots. While this analysis confirms that Amazon forests have acted as a long-term net biomass sink, we find a long-term decreasing trend of carbon accumulation. Rates of net increase in above-ground biomass declined by one-third during the past decade compared to the 1990s. This is a consequence of growth rate increases levelling off recently, while biomass mortality persistently increased throughout, leading to a shortening of carbon residence times. Potential drivers for the mortality increase include greater climate variability, and feedbacks of faster growth on mortality, resulting in shortened tree longevity5. The observed decline of the Amazon sink diverges markedly from the recent increase in terrestrial carbon uptake at the global scale1, 2, and is contrary to expectations based on models6.
Published: 2015

27. Global variability in leaf respiration in relation to climate, plant functional types and leaf traits

Author: Atkin, O.K. Bloomfield, K.J. Reich, P.B. Tjoelker, M.G. Asner, G.P. Bonal, D. Bönisch, G. Bradford, M.G. Cernusak, L.A. Cosio, E.G. Creek, D. Crous, K.Y. Domingues, T.F. Dukes, J.S. Egerton, J.J.G. Evans, J.R. Farquhar, G.D. Fyllas, N.M. Gauthier, P.P.G. Gloor, E. Gimeno, T.E. Griffin, K.L. Guerrieri, R. Heskel, M.A. Huntingford, C. Ishida, F.Y. Kattge, J. Lambers, H. Liddell, M.J. Lloyd, J. Lusk, C.H. Martin, R.E. Maksimov, A.P. Maximov, T.C. Malhi, Y. Medlyn, B.E. Meir, P. Mercado, L.M. Mirotchnick, N. Ng, D. Niinemets, U. O'Sullivan, O.S. Phillips, O.L. Poorter, L. Poot, P. Prentice, I.C. Salinas, N. Rowland, L.M. Ryan, M.G. Sitch, S. Slot, M. Smith, N.G. Turnbull, M.H. Vanderwel, M.C. Valladares, F. Veneklaas, E.J. Weerasinghe, L.K. Wirth, C. Wright, I.J. Wythers, K.R. Xiang, J. Xiang, S. Zaragoza-Castells, J.
Abstract: Summary: Leaf dark respiration (R dark ) is an important yet poorly quantified component of the global carbon cycle. Given this, we analyzed a new global database of R dark and associated leaf traits. Data for 899 species were compiled from 100 sites (from the Arctic to the tropics). Several woody and nonwoody plant functional types (PFTs) were represented. Mixed-effects models were used to disentangle sources of variation in R dark . Area-based R dark at the prevailing average daily growth temperature (T) of each site increased only twofold from the Arctic to the tropics, despite a 20°C increase in growing T (8-28°C). By contrast, R dark at a standard T (25°C, R dark 25 ) was threefold higher in the Arctic than in the tropics, and twofold higher at arid than at mesic sites. Species and PFTs at cold sites exhibited higher R dark 25 at a given photosynthetic capacity (V cmax 25 ) or leaf nitrogen concentration ([N]) than species at warmer sites. R dark 25 values at any given V cmax 25 or [N] were higher in herbs than in woody plants. The results highlight variation in R dark among species and across global gradients in T and aridity. In addition to their ecological significance, the results provide a framework for improving representation of R dark in terrestrial biosphere models (TBMs) and associated land-surface components of Earth system models (ESMs). © 2015 New Phytologist Trust.
Published: 2015

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

Author: Ter Steege, H., Pitman, N.C.A., Killeen, T.J., Laurance, W.F., Peres, C.A., Guevara, J.E., Salomao, R.P., Castilho, C.V., Leao Amaral, L., De Almeida Matos, D., De Souza Coelho, L., Magnusson, W.E., Phillips, O.L., De Andrade Lima Filho, D., Veiga Carim, M. de J., Irume, M.V., Pires Martins, M., Molino, Jean-François, and Sabatier, Daniel
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 thatmost 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

29. Edaphic, structural and physiological contrasts across Amazon Basin forest-savanna ecotones suggest a role for potassium as a key modulator of tropical woody vegetation structure and function

Author: Lloyd, J., Domingues, T.F., Schrodt, F., Ishida, F.Y., Feldpausch, T.R., Saiz, G., Quesada, C.A., Schwarz, M., Torello-Raventos, M., Gilpin, M., Marimon, B.S., Marimon-Junior, B.H., Ratter, J.A., Grace, J., Nardoto, G.B., Veenendaal, E., Arroyo, L., Villarroel, D., Killeen, T.J., Steininger, M., Phillips, O.L., Lloyd, J., Domingues, T.F., Schrodt, F., Ishida, F.Y., Feldpausch, T.R., Saiz, G., Quesada, C.A., Schwarz, M., Torello-Raventos, M., Gilpin, M., Marimon, B.S., Marimon-Junior, B.H., Ratter, J.A., Grace, J., Nardoto, G.B., Veenendaal, E., Arroyo, L., Villarroel, D., Killeen, T.J., Steininger, M., and Phillips, O.L.
Abstract: Sampling along a precipitation gradient in tropical South America extending from ca. 0.8 to 2.0 m ag-1, savanna soils had consistently lower exchangeable cation concentrations and higher C/N ratios than nearby forest plots. These soil differences were also reflected in canopy averaged leaf traits with savanna trees typically having higher leaf mass per unit area but lower mass-based nitrogen (Nm) and potassium (Km). Both Nm and Km also increased with declining mean annual precipitation (PA), but most area-based leaf traits such as leaf photosynthetic capacity showed no systematic variation with PA or vegetation type. Despite this invariance, when taken in conjunction with other measures such as mean canopy height, area-based soil exchangeable potassium content, [K]sa , proved to be an excellent predictor of several photosynthetic properties (including 13C isotope discrimination). Moreover, when considered in a multivariate context with PA and soil plant available water storage capacity (θP) as covariates, [K]sa also proved to be an excellent predictor of stand-level canopy area, providing drastically improved fits as compared to models considering just PA and/or θP. Neither calcium, nor magnesium, nor soil pH could substitute for potassium when tested as alternative model predictors (ΔAIC > 10). Nor for any model could simple soil texture metrics such as sand or clay content substitute for either [K]sa or θP. Taken in conjunction with recent work in Africa and the forests of the Amazon Basin, this suggests-in combination with some newly conceptualised interacting effects of PA and θP also presented here-a critical role for potassium as a modulator of tropical vegetation structure and function.
Published: 2015

30. Structural, physiognomic and above-ground biomass variation in savanna-forest transition zones on three continents - how different are co-occurring savanna and forest formations?

Author: Veenendaal, E.M., Torello-Raventos, M., Feldpausch, T.R., Domingues, T.F., Gerard, F., Schrodt, F., Saiz, G., Quesada, C.A., Djagbletey, G., Ford, A., Kemp, J., Marimon, B.S., Marimon-Junior, B.H., Lenza, E., Ratter, J.A., Maracahipes, L., Sasaki, D., Sonke, B., Zapfack, L., Villarroel, D., Schwarz, M., Ishida, F. Yoko, Gilpin, M., Nardoto, G.B., Affum-Baffoe, K., Arroyo, L., Bloomfield, K., Ceca, G., Compaore, H., Davies, K., Diallo, A., Fyllas, N.M., Gignoux, J., Hien, F., Johnson, M., Mougin, E., Hiernaux, P., Killeen, T., Metcalfe, D., Miranda, H.S., Steininger, M., Sykora, K., Bird, M.I., Grace, J., Lewis, S., Phillips, O.L., Lloyd, J., Veenendaal, E.M., Torello-Raventos, M., Feldpausch, T.R., Domingues, T.F., Gerard, F., Schrodt, F., Saiz, G., Quesada, C.A., Djagbletey, G., Ford, A., Kemp, J., Marimon, B.S., Marimon-Junior, B.H., Lenza, E., Ratter, J.A., Maracahipes, L., Sasaki, D., Sonke, B., Zapfack, L., Villarroel, D., Schwarz, M., Ishida, F. Yoko, Gilpin, M., Nardoto, G.B., Affum-Baffoe, K., Arroyo, L., Bloomfield, K., Ceca, G., Compaore, H., Davies, K., Diallo, A., Fyllas, N.M., Gignoux, J., Hien, F., Johnson, M., Mougin, E., Hiernaux, P., Killeen, T., Metcalfe, D., Miranda, H.S., Steininger, M., Sykora, K., Bird, M.I., Grace, J., Lewis, S., Phillips, O.L., and Lloyd, J.
Abstract: Through interpretations of remote-sensing data and/or theoretical propositions, the idea that forest and savanna represent “alternative stable states” is gaining increasing acceptance. Filling an observational gap, we present detailed stratified floristic and structural analyses for forest and savanna stands located mostly within zones of transition (where both vegetation types occur in close proximity) in Africa, South America and Australia. Woody plant leaf area index variation was related to tree canopy cover in a similar way for both savanna and forest with substantial overlap between the two vegetation types. As total woody plant canopy cover increased, so did the relative contribution of middle and lower strata of woody vegetation. Herbaceous layer cover declined as woody cover increased. This pattern of understorey grasses and herbs progressively replaced by shrubs as the canopy closes over was found for both savannah and forests and on all continents. Thus, once subordinate woody canopy layers are taken into account, a less marked transition in woody plant cover across the savanna–forest species discontinuum is observed compared to that inferred when trees of a basal diameter > 0:1m are considered in isolation. This is especially the case for shrub-dominated savannas and in taller savannas approaching canopy closure. An increased contribution of forest species to the total subordinate cover is also observed as savanna stand canopy closure occurs. Despite similarities in canopy-cover haracteristics, woody vegetation in Africa and Australia attained greater heights and stored a greater amount of above-ground biomass than in South America. Up to three times as much aboveground biomass is stored in forests compared to savannas under equivalent climatic conditions. Savanna–forest transition zones were also found to typically occur at higher precipitation regimes for South America than for Africa. Nevertheless,consistent across all three continents coexistence was
Published: 2015

31. Fires increase Amazon forest productivity through increases in diffuse radiation

Author: Rap, A., Spracklen, D.V., Mercado, L., Reddington, C.L., Haywood, J.M., Ellis, R.J., Phillips, O.L., Artaxo, P., Bonal, D., Restrepo Coupe, N., Butt, N., Rap, A., Spracklen, D.V., Mercado, L., Reddington, C.L., Haywood, J.M., Ellis, R.J., Phillips, O.L., Artaxo, P., Bonal, D., Restrepo Coupe, N., and Butt, N.
Abstract: Atmospheric aerosol scatters solar radiation increasing the fraction of diffuse radiation and the efficiency of photosynthesis. We quantify the impacts of biomass burning aerosol (BBA) on diffuse radiation and plant photosynthesis across Amazonia during 1998–2007. Evaluation against observed aerosol optical depth allows us to provide lower and upper BBA emissions estimates. BBA increases Amazon basin annual mean diffuse radiation by 3.4–6.8% and net primary production (NPP) by 1.4–2.8%, with quoted ranges driven by uncertainty in BBA emissions. The enhancement of Amazon basin NPP by 78–156 Tg C a−1 is equivalent to 33–65% of the annual regional carbon emissions from biomass burning. This NPP increase occurs during the dry season and acts to counteract some of the observed effect of drought on tropical production. We estimate that 30–60 Tg C a−1 of this NPP enhancement is within woody tissue, accounting for 8–16% of the observed carbon sink across mature Amazonian forests.
Published: 2015

32. The number of tree species on Earth

Author: Roberto Cazzolla Gatti, Peter B. Reich, Javier G. P. Gamarra, Tom Crowther, Cang Hui, Albert Morera, Jean-Francois Bastin, Sergio de-Miguel, Gert-Jan Nabuurs, Jens-Christian Svenning, Josep M. Serra-Diaz, Cory Merow, Brian Enquist, Maria Kamenetsky, Junho Lee, Jun Zhu, Jinyun Fang, Douglass F. Jacobs, Bryan Pijanowski, Arindam Banerjee, Robert A. Giaquinto, Giorgio Alberti, Angelica Maria Almeyda Zambrano, Esteban Alvarez-Davila, Alejandro Araujo-Murakami, Valerio Avitabile, Gerardo A. Aymard, Radomir Balazy, Chris Baraloto, Jorcely G. Barroso, Meredith L. Bastian, Philippe Birnbaum, Robert Bitariho, Jan Bogaert, Frans Bongers, Olivier Bouriaud, Pedro H. S. Brancalion, Francis Q. Brearley, Eben North Broadbent, Filippo Bussotti, Wendeson Castro da Silva, Ricardo Gomes César, Goran Češljar, Víctor Chama Moscoso, Han Y. H. Chen, Emil Cienciala, Connie J. Clark, David A. Coomes, Selvadurai Dayanandan, Mathieu Decuyper, Laura E. Dee, Jhon Del Aguila Pasquel, Géraldine Derroire, Marie Noel Kamdem Djuikouo, Tran Van Do, Jiri Dolezal, Ilija Đ. Đorđević, Julien Engel, Tom M. Fayle, Ted R. Feldpausch, Jonas K. Fridman, David J. Harris, Andreas Hemp, Geerten Hengeveld, Bruno Herault, Martin Herold, Thomas Ibanez, Andrzej M. Jagodzinski, Bogdan Jaroszewicz, Kathryn J. Jeffery, Vivian Kvist Johannsen, Tommaso Jucker, Ahto Kangur, Victor N. Karminov, Kuswata Kartawinata, Deborah K. Kennard, Sebastian Kepfer-Rojas, Gunnar Keppel, Mohammed Latif Khan, Pramod Kumar Khare, Timothy J. Kileen, Hyun Seok Kim, Henn Korjus, Amit Kumar, Ashwani Kumar, Diana Laarmann, Nicolas Labrière, Mait Lang, Simon L. Lewis, Natalia Lukina, Brian S. Maitner, Yadvinder Malhi, Andrew R. Marshall, Olga V. Martynenko, Abel L. Monteagudo Mendoza, Petr V. Ontikov, Edgar Ortiz-Malavasi, Nadir C. Pallqui Camacho, Alain Paquette, Minjee Park, Narayanaswamy Parthasarathy, Pablo Luis Peri, Pascal Petronelli, Sebastian Pfautsch, Oliver L. Phillips, Nicolas Picard, Daniel Piotto, Lourens Poorter, John R. Poulsen, Hans Pretzsch, Hirma Ramírez-Angulo, Zorayda Restrepo Correa, Mirco Rodeghiero, Rocío Del Pilar Rojas Gonzáles, Samir G. Rolim, Francesco Rovero, Ervan Rutishauser, Purabi Saikia, Christian Salas-Eljatib, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Vladimír Šebeň, Marcos Silveira, Ferry Slik, Bonaventure Sonké, Alexandre F. Souza, Krzysztof Jan Stereńczak, Miroslav Svoboda, Hermann Taedoumg, Nadja Tchebakova, John Terborgh, Elena Tikhonova, Armando Torres-Lezama, Fons van der Plas, Rodolfo Vásquez, Helder Viana, Alexander C. Vibrans, Emilio Vilanova, Vincent A. Vos, Hua-Feng Wang, Bertil Westerlund, Lee J. T. White, Susan K. Wiser, Tomasz Zawiła-Niedźwiecki, Lise Zemagho, Zhi-Xin Zhu, Irié C. Zo-Bi, Jingjing Liang, Cazzolla Gatti, Roberto, Reich, Peter B, Gamarra, Javier GP, Crowther, Tom, Keppel, Gunnar, Liang, Jingjing, Cazzolla Gatti R., Reich P.B., Gamarra J.G.P., Crowther T., Hui C., Morera A., Bastin J.-F., de-Miguel S., Nabuurs G.-J., Svenning J.-C., Serra-Diaz J.M., Merow C., Enquist B., Kamenetsky M., Lee J., Zhu J., Fang J., Jacobs D.F., Pijanowski B., Banerjee A., Giaquinto R.A., Alberti G., Almeyda Zambrano A.M., Alvarez-Davila E., Araujo-Murakami A., Avitabile V., Aymard G.A., Balazy R., Baraloto C., Barroso J.G., Bastian M.L., Birnbaum P., Bitariho R., Bogaert J., Bongers F., Bouriaud O., Brancalion P.H.S., Brearley F.Q., Broadbent E.N., Bussotti F., Castro da Silva W., Cesar R.G., Cesljar G., Chama Moscoso V., Chen H.Y.H., Cienciala E., Clark C.J., Coomes D.A., Dayanandan S., Decuyper M., Dee L.E., Del Aguila Pasquel J., Derroire G., Djuikouo M.N.K., Van Do T., Dolezal J., Dordevic I.D., Engel J., Fayle T.M., Feldpausch T.R., Fridman J.K., Harris D.J., Hemp A., Hengeveld G., Herault B., Herold M., Ibanez T., Jagodzinski A.M., Jaroszewicz B., Jeffery K.J., Johannsen V.K., Jucker T., Kangur A., Karminov V.N., Kartawinata K., Kennard D.K., Kepfer-Rojas S., Keppel G., Khan M.L., Khare P.K., Kileen T.J., Kim H.S., Korjus H., Kumar A., Laarmann D., Labriere N., Lang M., Lewis S.L., Lukina N., Maitner B.S., Malhi Y., Marshall A.R., Martynenko O.V., Monteagudo Mendoza A.L., Ontikov P.V., Ortiz-Malavasi E., Pallqui Camacho N.C., Paquette A., Park M., Parthasarathy N., Peri P.L., Petronelli P., Pfautsch S., Phillips O.L., Picard N., Piotto D., Poorter L., Poulsen J.R., Pretzsch H., Ramirez-Angulo H., Restrepo Correa Z., Rodeghiero M., Rojas Gonzales R.D.P., Rolim S.G., Rovero F., Rutishauser E., Saikia P., Salas-Eljatib C., Schepaschenko D., Scherer-Lorenzen M., Seben V., Silveira M., Slik F., Sonke B., Souza A.F., Sterenczak K.J., Svoboda M., Taedoumg H., Tchebakova N., Terborgh J., Tikhonova E., Torres-Lezama A., van der Plas F., Vasquez R., Viana H., Vibrans A.C., Vilanova E., Vos V.A., Wang H.-F., Westerlund B., White L.J.T., Wiser S.K., Zawila-Niedzwiecki T., Zemagho L., Zhu Z.-X., Zo-Bi I.C., Liang J., Purdue University [West Lafayette], University of Wisconsin-Madison, FAO Forestry, Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), Cazzolla Gatti, Roberto [0000-0001-5130-8492], Reich, Peter B [0000-0003-4424-662X], Hui, Cang [0000-0002-3660-8160], Morera, Albert [0000-0002-6777-169X], de-Miguel, Sergio [0000-0002-9738-0657], Svenning, Jens-Christian [0000-0002-3415-0862], Serra-Diaz, Josep M [0000-0003-1988-1154], Alberti, Giorgio [0000-0003-2422-3009], Bongers, Frans [0000-0002-8431-6189], Bouriaud, Olivier [0000-0002-8046-466X], Brancalion, Pedro HS [0000-0001-8245-4062], César, Ricardo Gomes [0000-0002-3392-8089], Chen, Han YH [0000-0001-9477-5541], Cienciala, Emil [0000-0002-1254-4254], Coomes, David [0000-0002-8261-2582], Djuikouo, Marie Noel Kamdem [0000-0003-0064-5151], Van Do, Tran [0000-0001-9059-5842], Feldpausch, Ted R [0000-0002-6631-7962], Jaroszewicz, Bogdan [0000-0002-2042-8245], Jeffery, Kathryn J [0000-0002-2632-0008], Kennard, Deborah K [0000-0003-4842-8260], Kim, Hyun Seok [0000-0002-3440-6071], Labrière, Nicolas [0000-0002-8037-2001], Maitner, Brian S [0000-0002-2118-9880], Malhi, Yadvinder [0000-0002-3503-4783], Peri, Pablo Luis [0000-0002-5398-4408], Phillips, Oliver L [0000-0002-8993-6168], Poorter, Lourens [0000-0003-1391-4875], Poulsen, John R [0000-0002-1532-9808], Salas-Eljatib, Christian [0000-0002-8468-0829], Schepaschenko, Dmitry [0000-0002-7814-4990], Silveira, Marcos [0000-0003-0485-7872], Slik, Ferry [0000-0003-3988-7019], Sonké, Bonaventure [0000-0002-4310-3603], Terborgh, John [0000-0003-1853-8311], Wiser, Susan K [0000-0002-8938-8181], Liang, Jingjing [0000-0001-9439-9320], Apollo - University of Cambridge Repository, and Coomes, David A [0000-0002-8261-2582]
Subjects: Cambios Antropogénicos, Richness, SAMPLE, Earth, Planet, Rarity, Bos- en Landschapsecologie, DIVERSITY, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Trees, forest, Bioma, Laboratory of Geo-information Science and Remote Sensing, Biome, espèce (taxon), HETEROGENEITY, Forest and Landscape Ecology, Forest Biodiversity, hyperdominance, Riqueza de Especies, Ecosystem Services, biodiversity, forests, hyperdominance, rarity, richness, biodiversity, Multidisciplinary, Hyperdominance, Overall Scale, F70 - Taxonomie végétale et phytogéographie, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Écologie des populations, PE&RC, COVERAGE, Boscos i silvicultura, Biometris, Forest Ecosystems, ABUNDANCE, Anthropogenic Changes, Vegetatie, Bos- en Landschapsecologie, Biodiversité, леса, Conservation of Natural Resources, F40 - Écologie végétale, Servicios de los Ecosistemas, Vulnerability, ECOLOGIA DE POPULAÇÕES, Arbre, ECOLOGY, Biodiversidad, forests, rarity, richness, Ecosistemas Forestales, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, COMPLETENESS, Árboles, Settore BIO/07 - ECOLOGIA, Richness Species, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, K70 - Dégâts causés aux forêts et leur protection, Biodiversidad Forestal, Escala Global, Vegetatie, деревья, Vegetation, Forest Ecology and Forest Management, biodiversité forestière, биоразнообразие, PATTERNS, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Vulnerabilidad
Abstract: One of the most fundamental questions in ecology is how many species inhabit the Earth. However, due to massive logistical and financial challenges and taxonomic difficulties connected to the species concept definition, the global numbers of species, including those of important and well-studied life forms such as trees, still remain largely unknown. Here, based on global ground-sourced data, we estimate the total tree species richness at global, continental, and biome levels. Our results indicate that there are ∼73,000 tree species globally, among which ∼9,000 tree species are yet to be discovered. Roughly 40% of undiscovered tree species are in South America. Moreover, almost one-third of all tree species to be discovered may be rare, with very low populations and limited spatial distribution (likely in remote tropical lowlands and mountains). These findings highlight the vulnerability of global forest biodiversity to anthropogenic changes in land use and climate, which disproportionately threaten rare species and thus, global tree richness., Proceedings of the National Academy of Sciences of the United States of America, 119 (6), ISSN:0027-8424, ISSN:1091-6490
Published: 2022

33. Aboveground forest biomass varies across continents, ecological zones and successional stages: refined IPCC default values for tropical and subtropical forests

Author: Danaë M A Rozendaal, Daniela Requena Suarez, Veronique De Sy, Valerio Avitabile, Sarah Carter, C Y Adou Yao, Esteban Alvarez-Davila, Kristina Anderson-Teixeira, Alejandro Araujo-Murakami, Luzmila Arroyo, Benjamin Barca, Timothy R Baker, Luca Birigazzi, Frans Bongers, Anne Branthomme, Roel J W Brienen, João M B Carreiras, Roberto Cazzolla Gatti, Susan C Cook-Patton, Mathieu Decuyper, Ben DeVries, Andres B Espejo, Ted R Feldpausch, Julian Fox, Javier G P Gamarra, Bronson W Griscom, Nancy Harris, Bruno Hérault, Eurídice N Honorio Coronado, Inge Jonckheere, Eric Konan, Sara M Leavitt, Simon L Lewis, Jeremy A Lindsell, Justin Kassi N’Dja, Anny Estelle N’Guessan, Beatriz Marimon, Edward T A Mitchard, Abel Monteagudo, Alexandra Morel, Anssi Pekkarinen, Oliver L Phillips, Lourens Poorter, Lan Qie, Ervan Rutishauser, Casey M Ryan, Maurizio Santoro, Dos Santos Silayo, Plinio Sist, J W Ferry Slik, Bonaventure Sonké, Martin J P Sullivan, Gaia Vaglio Laurin, Emilio Vilanova, Maria M H Wang, Eliakimu Zahabu, Martin Herold, Rozendaal D.M.A., Requena Suarez D., De Sy V., Avitabile V., Carter S., Adou Yao C.Y., Alvarez-Davila E., Anderson-Teixeira K., Araujo-Murakami A., Arroyo L., Barca B., Baker T.R., Birigazzi L., Bongers F., Branthomme A., Brienen R.J.W., Carreiras J.M.B., Cazzolla Gatti R., Cook-Patton S.C., Decuyper M., Devries B., Espejo A.B., Feldpausch T.R., Fox J., G P Gamarra J., Griscom B.W., Harris N., Herault B., Honorio Coronado E.N., Jonckheere I., Konan E., Leavitt S.M., Lewis S.L., Lindsell J.A., N'Dja J.K., N'Guessan A.E., Marimon B., Mitchard E.T.A., Monteagudo A., Morel A., Pekkarinen A., Phillips O.L., Poorter L., Qie L., Rutishauser E., Ryan C.M., Santoro M., Silayo D.S., Sist P., Slik J.W.F., Sonke B., Sullivan M.J.P., Vaglio Laurin G., Vilanova E., Wang M.M.H., Zahabu E., Herold M., and University of St Andrews. School of Geography & Sustainable Development
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Suivi et d’évaluation, forest plot, forêt tropicale, E-DAS, Tropical and subtropical forests, 7. Clean energy, 01 natural sciences, biomasse aérienne des arbres, Laboratory of Geo-information Science and Remote Sensing, Environmental Science(all), надземная биомасса, SDG 13 - Climate Action, старовозрастные леса, General Environmental Science, GE, Enquête, IPCC, tropical and subtropical forests, Aboveground biomass, PE&RC, Forest plots, secondary and old-growth forest, Plant Production Systems, aboveground bioma, Collecte de données, P01 - Conservation de la nature et ressources foncières, Crop and Weed Ecology, aboveground biomass, GE Environmental Sciences, Monitoring, тропические леса, Secondary and old-growth forests, 010603 evolutionary biology, Objectif 13 Mesures relatives à la lutte contre les changements climatique, лесные участки, forest plots, SDG 3 - Good Health and Well-being, вторичные леса, forêt primaire, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, SDG 7 - Affordable and Clean Energy, 0105 earth and related environmental sciences, MCC, Renewable Energy, Sustainability and the Environment, Public Health, Environmental and Occupational Health, субтропические леса, 15. Life on land, Forest Ecology and Forest Management, K10 - Production forestière, secondary and old-growth forests, monitoring, 13. Climate action, Plantaardige Productiesystemen, forêt secondaire
Abstract: Funding: We acknowledge funding from the following organizations: Norwegian Agency for Development Cooperation (Norad); Norwegian International Climate and Forest Initiative (NICFI); International Climate Initiative (IKI) of the German; Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB); CGIAR Research Program on Forests, Trees and Agroforestry (CRP‐FTA) with financial support from the CGIAR Fund Donors; EU Horizon 2020 project VERIFY (776810); European Space Agency GlobBiomass project (ESRIN Contract No. 4000113100/14/I-NB); European Research Council (ERC) Advanced Grants T-FORCES (291585) and PANTROP (834775); JAXA (RA-6, EO-RA2); UK Natural Environment Research Council (NERC; including NE/F005806/, NE/D005590/1, NE/T01279X/1, NE/P008755/1 and NE/N012542/1); agreement PR140015 between NERC and the National Centre for Earth Observation; Gordon and Betty Moore Foundation; CNPq (National Council of Science and Technology, Brazil), Grants #401279/2014‐4 (PVE) and #441244/2016‐5 (PELD); Doris Duke Charitable Foundation; the Children's Investment 309 Fund Foundation; COmON Foundation and Good Energies Foundation. For monitoring and reporting forest carbon stocks and fluxes, many countries in the tropics and subtropics rely on default values of forest aboveground biomass (AGB) from the Intergovernmental Panel on Climate Change (IPCC) guidelines for National Greenhouse Gas (GHG) Inventories. Default IPCC forest AGB values originated from 2006, and are relatively crude estimates of average values per continent and ecological zone. The 2006 default values were based on limited plot data available at the time, methods for their derivation were not fully clear, and no distinction between successional stages was made. As part of the 2019 Refinement to the 2006 IPCC Guidelines for GHG Inventories, we updated the default AGB values for tropical and subtropical forests based on AGB data from >25 000 plots in natural forests and a global AGB map where no plot data were available. We calculated refined AGB default values per continent, ecological zone, and successional stage, and provided a measure of uncertainty. AGB in tropical and subtropical forests varies by an order of magnitude across continents, ecological zones, and successional stage. Our refined default values generally reflect the climatic gradients in the tropics, with more AGB in wetter areas. AGB is generally higher in old-growth than in secondary forests, and higher in older secondary (regrowth >20 years old and degraded/logged forests) than in young secondary forests (20 years old). While refined default values for tropical old-growth forest are largely similar to the previous 2006 default values, the new default values are 4.0-7.7-fold lower for young secondary forests. Thus, the refined values will strongly alter estimated carbon stocks and fluxes, and emphasize the critical importance of old-growth forest conservation. We provide a reproducible approach to facilitate future refinements and encourage targeted efforts to establish permanent plots in areas with data gaps. Publisher PDF
Published: 2022

34. Co-limitation towards lower latitudes shapes global forest diversity gradients

Author: Jingjing Liang, Javier G. P. Gamarra, Nicolas Picard, Mo Zhou, Bryan Pijanowski, Douglass F. Jacobs, Peter B. Reich, Thomas W. Crowther, Gert-Jan Nabuurs, Sergio de-Miguel, Jingyun Fang, Christopher W. Woodall, Jens-Christian Svenning, Tommaso Jucker, Jean-Francois Bastin, Susan K. Wiser, Ferry Slik, Bruno Hérault, Giorgio Alberti, Gunnar Keppel, Geerten M. Hengeveld, Pierre L. Ibisch, Carlos A. Silva, Hans ter Steege, Pablo L. Peri, David A. Coomes, Eric B. Searle, Klaus von Gadow, Bogdan Jaroszewicz, Akane O. Abbasi, Meinrad Abegg, Yves C. Adou Yao, Jesús Aguirre-Gutiérrez, Angelica M. Almeyda Zambrano, Jan Altman, Esteban Alvarez-Dávila, Juan Gabriel Álvarez-González, Luciana F. Alves, Bienvenu H. K. Amani, Christian A. Amani, Christian Ammer, Bhely Angoboy Ilondea, Clara Antón-Fernández, Valerio Avitabile, Gerardo A. Aymard, Akomian F. Azihou, Johan A. Baard, Timothy R. Baker, Radomir Balazy, Meredith L. Bastian, Rodrigue Batumike, Marijn Bauters, Hans Beeckman, Nithanel Mikael Hendrik Benu, Robert Bitariho, Pascal Boeckx, Jan Bogaert, Frans Bongers, Olivier Bouriaud, Pedro H. S. Brancalion, Susanne Brandl, Francis Q. Brearley, Jaime Briseno-Reyes, Eben N. Broadbent, Helge Bruelheide, Erwin Bulte, Ann Christine Catlin, Roberto Cazzolla Gatti, Ricardo G. César, Han Y. H. Chen, Chelsea Chisholm, Emil Cienciala, Gabriel D. Colletta, José Javier Corral-Rivas, Anibal Cuchietti, Aida Cuni-Sanchez, Javid A. Dar, Selvadurai Dayanandan, Thales de Haulleville, Mathieu Decuyper, Sylvain Delabye, Géraldine Derroire, Ben DeVries, John Diisi, Tran Van Do, Jiri Dolezal, Aurélie Dourdain, Graham P. Durrheim, Nestor Laurier Engone Obiang, Corneille E. N. Ewango, Teresa J. Eyre, Tom M. Fayle, Lethicia Flavine N. Feunang, Leena Finér, Markus Fischer, Jonas Fridman, Lorenzo Frizzera, André L. de Gasper, Damiano Gianelle, Henry B. Glick, Maria Socorro Gonzalez-Elizondo, Lev Gorenstein, Richard Habonayo, Olivier J. Hardy, David J. Harris, Andrew Hector, Andreas Hemp, Martin Herold, Annika Hillers, Wannes Hubau, Thomas Ibanez, Nobuo Imai, Gerard Imani, Andrzej M. Jagodzinski, Stepan Janecek, Vivian Kvist Johannsen, Carlos A. Joly, Blaise Jumbam, Banoho L. P. R. Kabelong, Goytom Abraha Kahsay, Viktor Karminov, Kuswata Kartawinata, Justin N. Kassi, Elizabeth Kearsley, Deborah K. Kennard, Sebastian Kepfer-Rojas, Mohammed Latif Khan, John N. Kigomo, Hyun Seok Kim, Carine Klauberg, Yannick Klomberg, Henn Korjus, Subashree Kothandaraman, Florian Kraxner, Amit Kumar, Relawan Kuswandi, Mait Lang, Michael J. Lawes, Rodrigo V. Leite, Geoffrey Lentner, Simon L. Lewis, Moses B. Libalah, Janvier Lisingo, Pablito Marcelo López-Serrano, Huicui Lu, Natalia V. Lukina, Anne Mette Lykke, Vincent Maicher, Brian S. Maitner, Eric Marcon, Andrew R. Marshall, Emanuel H. Martin, Olga Martynenko, Faustin M. Mbayu, Musingo T. E. Mbuvi, Jorge A. Meave, Cory Merow, Stanislaw Miscicki, Vanessa S. Moreno, Albert Morera, Sharif A. Mukul, Jörg C. Müller, Agustinus Murdjoko, Maria Guadalupe Nava-Miranda, Litonga Elias Ndive, Victor J. Neldner, Radovan V. Nevenic, Louis N. Nforbelie, Michael L. Ngoh, Anny E. N’Guessan, Michael R. Ngugi, Alain S. K. Ngute, Emile Narcisse N. Njila, Melanie C. Nyako, Thomas O. Ochuodho, Jacek Oleksyn, Alain Paquette, Elena I. Parfenova, Minjee Park, Marc Parren, Narayanaswamy Parthasarathy, Sebastian Pfautsch, Oliver L. Phillips, Maria T. F. Piedade, Daniel Piotto, Martina Pollastrini, Lourens Poorter, John R. Poulsen, Axel Dalberg Poulsen, Hans Pretzsch, Mirco Rodeghiero, Samir G. Rolim, Francesco Rovero, Ervan Rutishauser, Khosro Sagheb-Talebi, Purabi Saikia, Moses Nsanyi Sainge, Christian Salas-Eljatib, Antonello Salis, Peter Schall, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Bernhard Schmid, Jochen Schöngart, Vladimír Šebeň, Giacomo Sellan, Federico Selvi, Josep M. Serra-Diaz, Douglas Sheil, Anatoly Z. Shvidenko, Plinio Sist, Alexandre F. Souza, Krzysztof J. Stereńczak, Martin J. P. Sullivan, Somaiah Sundarapandian, Miroslav Svoboda, Mike D. Swaine, Natalia Targhetta, Nadja Tchebakova, Liam A. Trethowan, Robert Tropek, John Tshibamba Mukendi, Peter Mbanda Umunay, Vladimir A. Usoltsev, Gaia Vaglio Laurin, Riccardo Valentini, Fernando Valladares, Fons van der Plas, Daniel José Vega-Nieva, Hans Verbeeck, Helder Viana, Alexander C. Vibrans, Simone A. Vieira, Jason Vleminckx, Catherine E. Waite, Hua-Feng Wang, Eric Katembo Wasingya, Chemuku Wekesa, Bertil Westerlund, Florian Wittmann, Verginia Wortel, Tomasz Zawiła-Niedźwiecki, Chunyu Zhang, Xiuhai Zhao, Jun Zhu, Xiao Zhu, Zhi-Xin Zhu, Irie C. Zo-Bi, Cang Hui, Liang, Jingjing, Gamarra, Javier GP, Picard, Nicolas, Zhou, Mo, Keppel, Gunnar, Hui, Cang, Liang J., Gamarra J.G.P., Picard N., Zhou M., Pijanowski B., Jacobs D.F., Reich P.B., Crowther T.W., Nabuurs G.-J., de-Miguel S., Fang J., Woodall C.W., Svenning J.-C., Jucker T., Bastin J.-F., Wiser S.K., Slik F., Herault B., Alberti G., Keppel G., Hengeveld G.M., Ibisch P.L., Silva C.A., ter Steege H., Peri P.L., Coomes D.A., Searle E.B., von Gadow K., Jaroszewicz B., Abbasi A.O., Abegg M., Yao Y.C.A., Aguirre-Gutierrez J., Zambrano A.M.A., Altman J., Alvarez-Davila E., Alvarez-Gonzalez J.G., Alves L.F., Amani B.H.K., Amani C.A., Ammer C., Ilondea B.A., Anton-Fernandez C., Avitabile V., Aymard G.A., Azihou A.F., Baard J.A., Baker T.R., Balazy R., Bastian M.L., Batumike R., Bauters M., Beeckman H., Benu N.M.H., Bitariho R., Boeckx P., Bogaert J., Bongers F., Bouriaud O., Brancalion P.H.S., Brandl S., Brearley F.Q., Briseno-Reyes J., Broadbent E.N., Bruelheide H., Bulte E., Catlin A.C., Cazzolla Gatti R., Cesar R.G., Chen H.Y.H., Chisholm C., Cienciala E., Colletta G.D., Corral-Rivas J.J., Cuchietti A., Cuni-Sanchez A., Dar J.A., Dayanandan S., de Haulleville T., Decuyper M., Delabye S., Derroire G., DeVries B., Diisi J., Do T.V., Dolezal J., Dourdain A., Durrheim G.P., Obiang N.L.E., Ewango C.E.N., Eyre T.J., Fayle T.M., Feunang L.F.N., Finer L., Fischer M., Fridman J., Frizzera L., de Gasper A.L., Gianelle D., Glick H.B., Gonzalez-Elizondo M.S., Gorenstein L., Habonayo R., Hardy O.J., Harris D.J., Hector A., Hemp A., Herold M., Hillers A., Hubau W., Ibanez T., Imai N., Imani G., Jagodzinski A.M., Janecek S., Johannsen V.K., Joly C.A., Jumbam B., Kabelong B.L.P.R., Kahsay G.A., Karminov V., Kartawinata K., Kassi J.N., Kearsley E., Kennard D.K., Kepfer-Rojas S., Khan M.L., Kigomo J.N., Kim H.S., Klauberg C., Klomberg Y., Korjus H., Kothandaraman S., Kraxner F., Kumar A., Kuswandi R., Lang M., Lawes M.J., Leite R.V., Lentner G., Lewis S.L., Libalah M.B., Lisingo J., Lopez-Serrano P.M., Lu H., Lukina N.V., Lykke A.M., Maicher V., Maitner B.S., Marcon E., Marshall A.R., Martin E.H., Martynenko O., Mbayu F.M., Mbuvi M.T.E., Meave J.A., Merow C., Miscicki S., Moreno V.S., Morera A., Mukul S.A., Muller J.C., Murdjoko A., Nava-Miranda M.G., Ndive L.E., Neldner V.J., Nevenic R.V., Nforbelie L.N., Ngoh M.L., N'Guessan A.E., Ngugi M.R., Ngute A.S.K., Njila E.N.N., Nyako M.C., Ochuodho T.O., Oleksyn J., Paquette A., Parfenova E.I., Park M., Parren M., Parthasarathy N., Pfautsch S., Phillips O.L., Piedade M.T.F., Piotto D., Pollastrini M., Poorter L., Poulsen J.R., Poulsen A.D., Pretzsch H., Rodeghiero M., Rolim S.G., Rovero F., Rutishauser E., Sagheb-Talebi K., Saikia P., Sainge M.N., Salas-Eljatib C., Salis A., Schall P., Schepaschenko D., Scherer-Lorenzen M., Schmid B., Schongart J., Seben V., Sellan G., Selvi F., Serra-Diaz J.M., Sheil D., Shvidenko A.Z., Sist P., Souza A.F., Sterenczak K.J., Sullivan M.J.P., Sundarapandian S., Svoboda M., Swaine M.D., Targhetta N., Tchebakova N., Trethowan L.A., Tropek R., Mukendi J.T., Umunay P.M., Usoltsev V.A., Vaglio Laurin G., Valentini R., Valladares F., van der Plas F., Vega-Nieva D.J., Verbeeck H., Viana H., Vibrans A.C., Vieira S.A., Vleminckx J., Waite C.E., Wang H.-F., Wasingya E.K., Wekesa C., Westerlund B., Wittmann F., Wortel V., Zawila-Niedzwiecki T., Zhang C., Zhao X., Zhu J., Zhu X., Zhu Z.-X., Zo-Bi I.C., Hui C., Purdue University [West Lafayette], Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Groupement d'Interêt Public Ecosystèmes Forestiers GIP ECOFOR (GIP ECOFOR ), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), 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), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-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)-Université de Montpellier (UM), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National Polytechnique Félix Houphouët-Boigny, and Stellenbosch University
Subjects: Bos- en Landschapsecologie, WASS, Plant Ecology and Nature Conservation, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Co-limitation, Ontwikkelingseconomie, Forest and Nature Conservation Policy, Trees, Soil, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Development Economics, Laboratory of Geo-information Science and Remote Sensing, Settore BIO/07 - ECOLOGIA, Life Science, Laboratorium voor Moleculaire Biologie, Bos- en Natuurbeleid, Forest and Landscape Ecology, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, BIOS Plant Development Systems, Vegetatie, Ecology, Evolution, Behavior and Systematics, biogeography, biodiversity, Vegetation, Ecology, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Latitudinal gradients, PE&RC, Forest Ecology and Forest Management, Bioclimatic dominance, Biogeography, LATITUDE, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, Laboratory of Molecular Biology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Corporate Governance & Legal Services, Tree, Global LDG
Abstract: The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers. The team collaboration and manuscript development are supported by the web-based team science platform: science-i.org, with the project number 202205GFB2. We thank the following initiatives, agencies, teams and individuals for data collection and other technical support: the Global Forest Biodiversity Initiative (GFBI) for establishing the data standards and collaborative framework; United States Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program; University of Alaska Fairbanks; the SODEFOR, Ivory Coast; University Félix Houphouët-Boigny (UFHB, Ivory Coast); the Queensland Herbarium and past Queensland Government Forestry and Natural Resource Management departments and staff for data collection for over seven decades; and the National Forestry Commission of Mexico (CONAFOR). We thank M. Baker (Carbon Tanzania), together with a team of field assistants (Valentine and Lawrence); all persons who made the Third Spanish Forest Inventory possible, especially the main coordinator, J. A. Villanueva (IFN3); the French National Forest Inventory (NFI campaigns (raw data 2005 and following annual surveys, were downloaded by GFBI at https://inventaire-forestier.ign.fr/spip.php?rubrique159; site accessed on 1 January 2015)); the Italian Forest Inventory (NFI campaigns raw data 2005 and following surveys were downloaded by GFBI at https://inventarioforestale.org/; site accessed on 27 April 2019); Swiss National Forest Inventory, Swiss Federal Institute for Forest, Snow and Landscape Research WSL and Federal Office for the Environment FOEN, Switzerland; the Swedish NFI, Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU; the National Research Foundation (NRF) of South Africa (89967 and 109244) and the South African Research Chair Initiative; the Danish National Forestry, Department of Geosciences and Natural Resource Management, UCPH; Coordination for the Improvement of Higher Education Personnel of Brazil (CAPES, grant number 88881.064976/2014-01); R. Ávila and S. van Tuylen, Instituto Nacional de Bosques (INAB), Guatemala, for facilitating Guatemalan data; the National Focal Center for Forest condition monitoring of Serbia (NFC), Institute of Forestry, Belgrade, Serbia; the Thünen Institute of Forest Ecosystems (Germany) for providing National Forest Inventory data; the FAO and the United Nations High Commissioner for Refugees (UNHCR) for undertaking the SAFE (Safe Access to Fuel and Energy) and CBIT-Forest projects; and the Amazon Forest Inventory Network (RAINFOR), the African Tropical Rainforest Observation Network (AfriTRON) and the ForestPlots.net initiative for their contributions from Amazonian and African forests. The Natural Forest plot data collected between January 2009 and March 2014 by the LUCAS programme for the New Zealand Ministry for the Environment are provided by the New Zealand National Vegetation Survey Databank https://nvs.landcareresearch.co.nz/. We thank the International Boreal Forest Research Association (IBFRA); the Forestry Corporation of New South Wales, Australia; the National Forest Directory of the Ministry of Environment and Sustainable Development of the Argentine Republic (MAyDS) for the plot data of the Second National Forest Inventory (INBN2); the National Forestry Authority and Ministry of Water and Environment of Uganda for their National Biomass Survey (NBS) dataset; and the Sabah Biodiversity Council and the staff from Sabah Forest Research Centre. All TEAM data are provided by the Tropical Ecology Assessment and Monitoring (TEAM) Network, a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution and the Wildlife Conservation Society, and partially funded by these institutions, the Gordon and Betty Moore Foundation and other donors, with thanks to all current and previous TEAM site manager and other collaborators that helped collect data. We thank the people of the Redidoti, Pierrekondre and Cassipora village who were instrumental in assisting with the collection of data and sharing local knowledge of their forest and the dedicated members of the field crew of Kabo 2012 census. We are also thankful to FAPESC, SFB, FAO and IMA/SC for supporting the IFFSC. This research was supported in part through computational resources provided by Information Technology at Purdue, West Lafayette, Indiana.This work is supported in part by the NASA grant number 12000401 ‘Multi-sensor biodiversity framework developed from bioacoustic and space based sensor platforms’ (J. Liang, B.P.); the USDA National Institute of Food and Agriculture McIntire Stennis projects 1017711 (J. Liang) and 1016676 (M.Z.); the US National Science Foundation Biological Integration Institutes grant NSF‐DBI‐2021898 (P.B.R.); the funding by H2020 VERIFY (contract 776810) and H2020 Resonate (contract 101000574) (G.-J.N.); the TEAM project in Uganda supported by the Moore foundation and Buffett Foundation through Conservation International (CI) and Wildlife Conservation Society (WCS); the Danish Council for Independent Research | Natural Sciences (TREECHANGE, grant 6108- 00078B) and VILLUM FONDEN grant number 16549 (J.-C.S.); the Natural Environment Research Council of the UK (NERC) project NE/T011084/1 awarded to J.A.-G. and NE/S011811/1; ERC Advanced Grant 291585 (‘T-FORCES’) and a Royal Society-Wolfson Research Merit Award (O.L.P.); RAINFOR plots supported by the Gordon and Betty Moore Foundation and the UK Natural Environment Research Council, notably NERC Consortium Grants ‘AMAZONICA’ (NE/F005806/1), ‘TROBIT’ (NE/D005590/1) and ‘BIO-RED’ (NE/N012542/1); CIFOR’s Global Comparative Study on REDD+ funded by the Norwegian Agency for Development Cooperation, the Australian Department of Foreign Affairs and Trade, the European Union, the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) and donors to the CGIAR Fund; AfriTRON network plots funded by the local communities and NERC, ERC, European Union, Royal Society and Leverhume Trust; a grant from the Royal Society and the Natural Environment Research Council, UK (S.L.L.); National Science Foundation CIF21 DIBBs: EI: number 1724728 (A.C.C.); National Natural Science Foundation of China (31800374) and Shandong Provincial Natural Science Foundation (ZR2019BC083) (H.L.). UK NERC Independent Research Fellowship (grant code: NE/S01537X/1) (T.J.); a Serra-Húnter Fellowship provided by the Government of Catalonia (Spain) (S.d.-M.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.A.S.); a grant from the Franklinia Foundation (D.A.C.); Russian Science Foundation project number 19-77-300-12 (R.V.); the Takenaka Scholarship Foundation (A.O.A.); the German Research Foundation (DFG), grant number Am 149/16-4 (C.A.); the Romania National Council for Higher Education Funding, CNFIS, project number CNFIS-FDI-2022-0259 (O.B.); Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-05109 and STPGP506284) and the Canadian Foundation for Innovation (36014) (H.Y.H.C.); the project SustES—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797) (E.C.); Consejo de Ciencia y Tecnología del estado de Durango (2019-01-155) (J.J.C.-R.); Science and Engineering Research Board (SERB), New Delhi, Government of India (file number PDF/2015/000447)— ‘Assessing the carbon sequestration potential of different forest types in Central India in response to climate change’ (J.A.D.); Investissement d’avenir grant of the ANR (CEBA: ANR-10-LABEX-0025) (G.D.); National Foundation for Science & Technology Development of Vietnam, 106-NN.06-2013.01 (T.V.D.); Queensland government, Department of Environment and Science (T.J.E.); a Czech Science Foundation Standard grant (19-14620S) (T.M.F.); European Union Seventh Framework Program (FP7/2007– 2013) under grant agreement number 265171 (L. Finer, M. Pollastrini, F. Selvi); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (J.F.); CNPq productivity grant number 311303/2020-0 (A.L.d.G.); DFG grant HE 2719/11-1,2,3; HE 2719/14-1 (A. Hemp); European Union’s Horizon Europe research project OpenEarthMonitor grant number 101059548, CGIAR Fund INIT-32-MItigation and Transformation Initiative for GHG reductions of Agrifood systems RelaTed Emissions (MITIGATE+) (M.H.); General Directorate of the State Forests, Poland (1/07; OR-2717/3/11; OR.271.3.3.2017) and the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (A.M.J.); Czech Science Foundation 18-10781 S (S.J.); Danish of Ministry of Environment, the Danish Environmental Protection Agency, Integrated Forest Monitoring Program—NFI (V.K.J.); State of São Paulo Research Foundation/FAPESP as part of the BIOTA/FAPESP Program Project Functional Gradient-PELD/BIOTA-ECOFOR 2003/12595-7 & 2012/51872-5 (C.A.J.); Danish Council for Independent Research—social sciences—grant DFF 6109– 00296 (G.A.K.); Russian Science Foundation project 21-46-07002 for the plot data collected in the Krasnoyarsk region (V.K.); BOLFOR (D.K.K.); Department of Biotechnology, New Delhi, Government of India (grant number BT/PR7928/ NDB/52/9/2006, dated 29 September 2006) (M.L.K.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (J.N.K.); Korea Forest Service (2018113A00-1820-BB01, 2013069A00-1819-AA03, and 2020185D10- 2022-AA02) and Seoul National University Big Data Institute through the Data Science Research Project 2016 (H.S.K.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.K.); CSIR, New Delhi, government of India (grant number 38(1318)12/EMR-II, dated: 3 April 2012) (S.K.); Department of Biotechnology, New Delhi, government of India (grant number BT/ PR12899/ NDB/39/506/2015 dated 20 June 2017) (A.K.); Coordination for the Improvement of Higher Education Personnel (CAPES) #88887.463733/2019-00 (R.V.L.); National Natural Science Foundation of China (31800374) (H.L.); project of CEPF RAS ‘Methodological approaches to assessing the structural organization and functioning of forest ecosystems’ (AAAA-A18-118052590019-7) funded by the Ministry of Science and Higher Education of Russia (N.V.L.); Leverhulme Trust grant to Andrew Balmford, Simon Lewis and Jon Lovett (A.R.M.); Russian Science Foundation, project 19-77-30015 for European Russia data processing (O.M.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (M.T.E.M.); the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (S.M.); the Secretariat for Universities and of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund (A. Morera); Queensland government, Department of Environment and Science (V.J.N.); Pinnacle Group Cameroon PLC (L.N.N.); Queensland government, Department of Environment and Science (M.R.N.); the Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-05201) (A.P.); the Russian Foundation for Basic Research, project number 20-05-00540 (E.I.P.); European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 778322 (H.P.); Science and Engineering Research Board, New Delhi, government of India (grant number YSS/2015/000479, dated 12 January 2016) (P.S.); the Chilean Government research grants Fondecyt number 1191816 and FONDEF number ID19 10421 (C.S.-E.); the Deutsche Forschungsgemeinschaft (DFG) Priority Program 1374 Biodiversity Exploratories (P.S.); European Space Agency projects IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) (D. Schepaschenko); FunDivEUROPE, European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement number 265171 (M.S.-L.); APVV 20-0168 from the Slovak Research and Development Agency (V.S.); Manchester Metropolitan University’s Environmental Science Research Centre (G.S.); the project ‘LIFE+ ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques’ which is co-funded by the EU Life Plus programme (contract number LIFE13 ENV/PL/000048) and the National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D) (K.J.S.); Global Challenges Research Fund (QR allocation, MMU) (M.J.P.S.); Czech Science Foundation project 21-27454S (M.S.); the Russian Foundation for Basic Research, project number 20-05-00540 (N. Tchebakova); Botanical Research Fund, Coalbourn Trust, Bentham Moxon Trust, Emily Holmes scholarship (L.A.T.); the programmes of the current scientific research of the Botanical Garden of the Ural Branch of Russian Academy of Sciences (V.A.U.); FCT—Portuguese Foundation for Science and Technology—Project UIDB/04033/2020. Inventário Florestal Nacional—ICNF (H. Viana); Grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (C.W.); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (B.W.); ATTO project (grant number MCTI-FINEP 1759/10 and BMBF 01LB1001A, 01LK1602F) (F.W.); ReVaTene/ PReSeD-CI 2 is funded by the Education and Research Ministry of Côte d’Ivoire, as part of the Debt Reduction-Development Contracts (C2Ds) managed by IRD (I.C.Z.-B.); the National Research Foundation of South Africa (NRF, grant 89967) (C.H.). The Tropical Plant Exploration Group 70 1 ha plots in Continental Cameroon Mountains are supported by Rufford Small Grant Foundation, UK and 4 ha in Sierra Leone are supported by the Global Challenge Research Fund through Manchester Metropolitan University, UK; the National Geographic Explorer Grant, NGS-53344R-18 (A.C.-S.); University of KwaZulu-Natal Research Office grant (M.J.L.); Universidad Nacional Autónoma de México, Dirección General de Asuntos de Personal Académico, Grant PAPIIT IN-217620 (J.A.M.). Czech Science Foundation project 21-24186M (R.T., S. Delabye). Czech Science Foundation project 20-05840Y, the Czech Ministry of Education, Youth and Sports (LTAUSA19137) and the long-term research development project of the Czech Academy of Sciences no. RVO 67985939 (J.A.). The American Society of Primatologists, the Duke University Graduate School, the L.S.B. Leakey Foundation, the National Science Foundation (grant number 0452995) and the Wenner-Gren Foundation for Anthropological Research (grant number 7330) (M.B.). Research grants from Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq, Brazil) (309764/2019; 311303/2020) (A.C.V., A.L.G.). The Project of Sanya Yazhou Bay Science and Technology City (grant number CKJ-JYRC-2022-83) (H.-F.W.). The Ugandan NBS was supported with funds from the Forest Carbon Partnership Facility (FCPF), the Austrian Development Agency (ADC) and FAO. FAO’s UN-REDD Program, together with the project on ‘Native Forests and Community’ Loan BIRF number 8493-AR UNDP ARG/15/004 and the National Program for the Protection of Native Forests under UNDP funded Argentina’s INBN2.
Published: 2022

35. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author: Ben Sparrow, V. B. Martynenko, Jonathan Lenoir, Eszter Ruprecht, Idoia Biurrun, Luzmila Arroyo, Borja Jiménez-Alfaro, Aníbal Pauchard, Roberto Venanzoni, Stephan M. Hennekens, Mohamed Z. Hatim, Cyrus Samimi, Arkadiusz Nowak, Gerhard E. Overbeck, Petr Sklenář, Renata Ćušterevska, Valentin Golub, Eduardo Vélez-Martin, Gwendolyn Peyre, Inger Greve Alsos, Ioannis Tsiripidis, Tarek Hattab, Andrey Yu. Korolyuk, Jutta Kapfer, Jörg Ewald, Donald M. Waller, Ute Jandt, Tetiana Dziuba, Marco Schmidt, Alvaro G. Gutiérrez, Thomas Wohlgemuth, Adrian Indreica, Zygmunt Kącki, Jürgen Dengler, Željko Škvorc, Dirk Nikolaus Karger, Panayotis Dimopoulos, Viktor Onyshchenko, Hanhuai Shan, John Janssen, Hua Feng Wang, Holger Kreft, Jérôme Munzinger, Brian J. Enquist, Frederic Lens, Wannes Hubau, Birgit Jedrzejek, Alexander Christian Vibrans, Miguel D. Mahecha, Emmanuel Garbolino, Sophie Gachet, Abel Monteagudo Mendoza, Josep Peñuelas, Melisa A. Giorgis, Svetlana Aćić, Débora Vanessa Lingner, Victor V. Chepinoga, Richard Field, Ladislav Mucina, Michele De Sanctis, Mohamed A. El-Sheikh, Isabelle Aubin, Hamid Gholizadeh, Fahmida Sultana, Fabio Attorre, Valerijus Rašomavičius, Cindy Q. Tang, Tomáš Černý, Gonzalo Rivas-Torres, Donald A. Walker, Alicia Teresa Rosario Acosta, Timothy J. Killeen, Francesco Maria Sabatini, Susan K. Wiser, Urban Šilc, Andraž Čarni, Florian Jansen, Valério D. Pillar, Jonas V. Müller, Aaron Pérez-Haase, Els De Bie, Antonio Galán-de-Mera, Zhiyao Tang, Anne D. Bjorkman, Sylvia Haider, Kiril Vassilev, Risto Virtanen, Henrik von Wehrden, Hjalmar S. Kühl, Manfred Finckh, Zvjezdana Stančić, Pavel Shirokikh, Elizabeth Kearsley, Petr Petřík, Yves Bergeron, Iva Apostolova, Emiliano Agrillo, Jozef Šibík, Norbert Jürgens, Marta Gaia Sperandii, Anna Kuzemko, Jens-Christian Svenning, Timothy J. S. Whitfeld, Michael Kessler, Bruno Hérault, John-Arvid Grytnes, Laura Casella, Tomáš Peterka, Miguel Alvarez, Tsipe Aavik, Gregory Richard Guerin, André Luis de Gasper, Corrado Marcenò, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens Kattge, Guillermo Hinojos Mendoza, Anke Jentsch, Arindam Banerjee, Jesper Erenskjold Moeslund, Mohammed Abu Sayed Arfin Khan, Patrice de Ruffray, Milan Chytrý, S. M. Yamalov, Tatiana Lysenko, Meelis Pärtel, Viktoria Bondareva, Helge Bruelheide, John S. Rodwell, Jiri Dolezal, Oliver L. Phillips, Rasmus Revermann, Larisa Khanina, Erwin Bergmeier, Robert K. Peet, Jörg Brunet, Solvita Rūsiņa, Oliver Purschke, Gianmaria Bonari, Jürgen Homeier, Martin Zobel, János Csiky, Marijn Bauters, Jalil Noroozi, Karsten Wesche, Kim André Vanselow, Norbert Hölzel, Flavia Landucci, Farideh Fazayeli, Wolfgang Willner, Viktoria Wagner, Alireza Naqinezhad, Aurora Levesley, Vadim Prokhorov, Hongyan Liu, Ali Kavgaci, Rodolfo Vásquez Martínez, Franziska Schrodt, Attila Lengyel, Elise A. Arnst, Sabatini F.M., Lenoir J., Hattab T., Arnst E.A., Chytry M., Dengler J., De Ruffray P., Hennekens S.M., Jandt U., Jansen F., Jimenez-Alfaro B., Kattge J., Levesley A., Pillar V.D., Purschke O., Sandel B., Sultana F., Aavik T., Acic S., Acosta A.T.R., Agrillo E., Alvarez M., Apostolova I., Arfin Khan M.A.S., Arroyo L., Attorre F., Aubin I., Banerjee A., Bauters M., Bergeron Y., Bergmeier E., Biurrun I., Bjorkman A.D., Bonari G., Bondareva V., Brunet J., Carni A., Casella L., Cayuela L., Cerny T., Chepinoga V., Csiky J., Custerevska R., De Bie E., de Gasper A.L., De Sanctis M., Dimopoulos P., Dolezal J., Dziuba T., El-Sheikh M.A.E.-R.M., Enquist B., Ewald J., Fazayeli F., Field R., Finckh M., Gachet S., Galan-de-Mera A., Garbolino E., Gholizadeh H., Giorgis M., Golub V., Alsos I.G., Grytnes J.-A., Guerin G.R., Gutierrez A.G., Haider S., Hatim M.Z., Herault B., Hinojos Mendoza G., Holzel N., Homeier J., Hubau W., Indreica A., Janssen J.A.M., Jedrzejek B., Jentsch A., Jurgens N., Kacki Z., Kapfer J., Karger D.N., Kavgaci A., Kearsley E., Kessler M., Khanina L., Killeen T., Korolyuk A., Kreft H., Kuhl H.S., Kuzemko A., Landucci F., Lengyel A., Lens F., Lingner D.V., Liu H., Lysenko T., Mahecha M.D., Marceno C., Martynenko V., Moeslund J.E., Monteagudo Mendoza A., Mucina L., Muller J.V., Munzinger J., Naqinezhad A., Noroozi J., Nowak A., Onyshchenko V., Overbeck G.E., Partel M., Pauchard A., Peet R.K., Penuelas J., Perez-Haase A., Peterka T., Petrik P., Peyre G., Phillips O.L., Prokhorov V., Rasomavicius V., Revermann R., Rivas-Torres G., Rodwell J.S., Ruprecht E., Rusina S., Samimi C., Schmidt M., Schrodt F., Shan H., Shirokikh P., Sibik J., Silc U., Sklenar P., Skvorc Z., Sparrow B., Sperandii M.G., Stancic Z., Svenning J.-C., Tang Z., Tang C.Q., Tsiripidis I., Vanselow K.A., Vasquez Martinez R., Vassilev K., Velez-Martin E., Venanzoni R., Vibrans A.C., Violle C., Virtanen R., von Wehrden H., Wagner V., Walker D.A., Waller D.M., Wang H.-F., Wesche K., Whitfeld T.J.S., Willner W., Wiser S.K., Wohlgemuth T., Yamalov S., Zobel M., Bruelheide H., Sabatini, Fm, Lenoir, J, Hattab, T, Arnst, Ea, Chytry, M, Dengler, J, De Ruffray, P, Hennekens, Sm, Jandt, U, Jansen, F, Jimenez-Alfaro, B, Kattge, J, Levesley, A, Pillar, Vd, Purschke, O, Sandel, B, Sultana, F, Aavik, T, Acic, S, Acosta, Atr, Agrillo, E, Alvarez, M, Apostolova, I, Khan, Masa, Arroyo, L, Attorre, F, Aubin, I, Banerjee, A, Bauters, M, Bergeron, Y, Bergmeier, E, Biurrun, I, Bjorkman, Ad, Bonari, G, Bondareva, V, Brunet, J, Carni, A, Casella, L, Cayuela, L, Cerny, T, Chepinoga, V, Csiky, J, Custerevska, R, De Bie, E, de Gasper, Al, De Sanctis, M, Dimopoulos, P, Dolezal, J, Dziuba, T, El-Sheikh, Mam, Enquist, B, Ewald, J, Fazayeli, F, Field, R, Finckh, M, Gachet, S, Galan-de-Mera, A, Garbolino, E, Gholizadeh, H, Giorgis, M, Golub, V, Alsos, Ig, Grytnes, Ja, Guerin, Gr, Gutierrez, Ag, Haider, S, Hatim, Mz, Herault, B, Mendoza, Gh, Holzel, N, Homeier, J, Hubau, W, Indreica, A, Janssen, Jam, Jedrzejek, B, Jentsch, A, Jurgens, N, Kacki, Z, Kapfer, J, Karger, Dn, Kavgaci, A, Kearsley, E, Kessler, M, Khanina, L, Killeen, T, Korolyuk, A, Kreft, H, Kuhl, H, Kuzemko, A, Landucci, F, Lengyel, A, Lens, F, Lingner, Dv, Liu, Hy, Lysenko, T, Mahecha, Md, Marceno, C, Martynenko, V, Moeslund, Je, Mendoza, Am, Mucina, L, Muller, Jv, Munzinger, Jm, Naqinezhad, A, Noroozi, J, Nowak, A, Onyshchenko, V, Overbeck, Ge, Partel, M, Pauchard, A, Peet, Rk, Penuelas, J, Perez-Haase, A, Peterka, T, Petrik, P, Peyre, G, Phillips, Ol, Prokhorov, V, Rasomavicius, V, Revermann, R, Rivas-Torres, G, Rodwell, J, Ruprecht, E, Rusina, S, Samimi, C, Schmidt, M, Schrodt, F, Shan, Hh, Shirokikh, P, Sibik, J, Silc, U, Sklenar, P, Skvorc, Z, Sparrow, B, Sperandii, Mg, Stancic, Z, Svenning, Jc, Tang, Zy, Tang, Cq, Tsiripidis, I, Vanselow, Ka, Martinez, Rv, Vassilev, K, Velez-Martin, E, Venanzoni, R, Vibrans, Ac, Violle, C, Virtanen, R, von Wehrden, H, Wagner, V, Walker, Da, Waller, Dm, Wang, Hf, Wesche, K, Whitfeld, Tj, Willner, W, Wiser, Sk, Wohlgemuth, T, Yamalov, S, Zobel, M, Bruelheide, H, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), 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), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Centre de recherche sur les Risques et les Crises (CRC), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), 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), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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)-Institut Agro - 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), ANR-07-BDIV-0006,BIONEOCAL,L'endémisme en Nouvelle-Calédonie : étude phylogénétique et populationnelle des son émergence.(2007), ANR-07-BDIV-0008,INC,Incendies et biodiversité de écosystèmes en Nouvelle-Calédonie.(2007), ANR-07-BDIV-0010,ULTRABIO,Biodiversité et stratégies adaptatives végétales et microbiennes des écosystèmes ultramafiques en Nouvelle-Calédonie.(2007), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-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), and 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 National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, Biome, Bos- en Landschapsecologie, Biodiversity, DIVERSITY, FOREST VEGETATION, 01 natural sciences, purl.org/becyt/ford/1 [https], Abundance (ecology), big data, Vegetation type, PHYTOSOCIOLOGICAL DATABASE, parcelle, Forest and Landscape Ecology, functional traits, vascular plants, biodiversity, biogeography, database, macroecology, vegetation plots, Macroecology, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Global and Planetary Change, Ecology, vascular plant, Vegetation, F70 - Taxonomie végétale et phytogéographie, PE&RC, Vegetation plot, Geography, 580: Pflanzen (Botanik), Ecosystems Research, Diffusion de l'information, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Biodiversité, ARCHIVE, Communauté végétale, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, Biogéographie, GRASSLAND VEGETATION, Plant Ecology and Nature Conservation, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, Behavior and Systematics, Couverture végétale, 577: Ökologie, PLANT, purl.org/becyt/ford/1.6 [https], functional trait, Biology, Ecology, Evolution, Behavior and Systematics, Vegetatie, 010604 marine biology & hydrobiology, Impact sur l'environnement, DRY GRASSLANDS, Plant community, 15. Life on land, Végétation, WETLAND VEGETATION, Earth and Environmental Sciences, UNIVERSITY, Physical geography, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, données ouvertes
Abstract: Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code, EU H2020 project BACI, Grant No. 640176 (...), Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E.A., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jiménez-Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Alvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., de Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El-Sheikh, M.A.E.-R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán-de-Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J.-A., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Peñuelas, J., Pérez-Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas-Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J.-C., Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez-Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., von Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H.-F., Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H.
Published: 2021

36. Tree mode of death and mortality risk factors across Amazon forests

Author: Lily Rodriguez Bayona, Zorayda Restrepo Correa, Marisol Toledo, Ben Hur Marimon Junior, José Luís Camargo, Ima Célia Guimarães Vieira, Georgia Pickavance, Pieter A. Zuidema, Christopher Baraloto, Javier Silva Espejo, Maria Cristina Peñuela-Mora, Nadir Pallqui Camacho, Wendeson Castro, Simon L. Lewis, Susan G. Laurance, Marcos Silveira, Karina Liana Lisboa Melgaço Ladvocat, René G. A. Boot, Simone Aparecida Vieira, Isau Huamantupa-Chuquimaco, Lourens Poorter, Eurídice N. Honorio Coronado, Jeanneth Villalobos Cayo, Armando Torres-Lezama, David A. Neill, Eric Arets, Thomas E. Lovejoy, Gerardo Flores Llampazo, Benoit Burban, Carlos A. Quesada, Kuo-Jung Chao, Casimiro Mendoza, Hans ter Steege, Gabriela Lopez-Gonzalez, Paulo S. Morandi, Adriana Prieto, Juliana Stropp, Eliana Jimenez-Rojas, James Singh, Jon Lloyd, Timothy R. Baker, Jérôme Chave, Ana Andrade, Patrick Meir, Roderick Zagt, Fernando Cornejo Valverde, Joey Talbot, Marielos Peña-Claros, Luzmila Arroyo, Nigel C. A. Pitman, Frans Bongers, Michel Baisie, Plínio Barbosa de Camargo, Alejandro Araujo-Murakami, Varun Swamy, Julio Serrano, Raquel Thomas, Aurora Levesley, Emanuel Gloor, Julie Peacock, David W. Galbraith, Nallaret Davila Cardozo, Adriane Esquivel-Muelbert, Jeanne Houwing-Duistermaat, Timothy J. Killeen, Yadvinder Malhi, Rodolfo Vásquez Martínez, Abel Monteagudo-Mendoza, Edmar Almeida de Oliveira, Natalino Silva, Rafael de Paiva Salomão, Hirma Ramírez-Angulo, Jorcely Barroso, Adriano José Nogueira Lima, Simone Matias Reis, Emilio Vilanova Torre, William F. Laurance, Guido Pardo, James A. Comiskey, Agustín Rudas, Sophie Fauset, Martin J. P. Sullivan, Everton Cristo de Almeida, Luiz E. O. C. Aragão, Rafael Herrera, Percy Núñez Vargas, John Terborgh, Victor Chama Moscoso, Ted R. Feldpausch, Aurélie Dourdain, Damien Bonal, Beatriz Schwantes Marimon, Gerardo A. Aymard C, Esteban Alvarez Dávila, Peter J. Van Der Meer, Luis Valenzuela Gamarra, Terry L. Erwin, Lilian Blanc, Anthony Di Fiore, Antonio Carlos Lola da Costa, Haiyan Liu, Vincent A. Vos, Foster Brown, Roel J. W. Brienen, Patricia Alvarez Loayza, Oliver L. Phillips, Clément Stahl, Niro Higuchi, John Pipoly, Jhon del Aguila Pasquel, Thomas A. M. Pugh, Maxime Rejou-Machain, Geertje M. F. van der Heijden, Peter van der Hout, University of Leeds, Plymouth University, SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), 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), 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), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), University of Plymouth, 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, Esquivel-Muelbert A., Phillips O.L., Brienen R.J.W., Fauset S., Sullivan M.J.P., Baker T.R., Chao K.-J., Feldpausch T.R., Gloor E., Higuchi N., Houwing-Duistermaat J., Lloyd J., Liu H., Malhi Y., Marimon B., Marimon Junior B.H., Monteagudo-Mendoza A., Poorter L., Silveira M., Torre E.V., Davila E.A., del Aguila Pasquel J., Almeida E., Loayza P.A., Andrade A., Aragao L.E.O.C., Araujo-Murakami A., Arets E., Arroyo L., Aymard C G.A., Baisie M., Baraloto C., Camargo P.B., Barroso J., Blanc L., Bonal D., Bongers F., Boot R., Brown F., Burban B., Camargo J.L., Castro W., Moscoso V.C., Chave J., Comiskey J., Valverde F.C., da Costa A.L., Cardozo N.D., Di Fiore A., Dourdain A., Erwin T., Llampazo G.F., Vieira I.C.G., Herrera R., Honorio Coronado E., Huamantupa-Chuquimaco I., Jimenez-Rojas E., Killeen T., Laurance S., Laurance W., Levesley A., Lewis S.L., Ladvocat K.L.L.M., Lopez-Gonzalez G., Lovejoy T., Meir P., Mendoza C., Morandi P., Neill D., Nogueira Lima A.J., Vargas P.N., de Oliveira E.A., Camacho N.P., Pardo G., Peacock J., Pena-Claros M., Penuela-Mora M.C., Pickavance G., Pipoly J., Pitman N., Prieto A., Pugh T.A.M., Quesada C., Ramirez-Angulo H., de Almeida Reis S.M., Rejou-Machain M., Correa Z.R., Bayona L.R., Rudas A., Salomao R., Serrano J., Espejo J.S., Silva N., Singh J., Stahl C., Stropp J., Swamy V., Talbot J., ter Steege H., Terborgh J., Thomas R., Toledo M., Torres-Lezama A., Gamarra L.V., van der Heijden G., van der Meer P., van der Hout P., Martinez R.V., Vieira S.A., Cayo J.V., Vos V., Zagt R., Zuidema P., Galbraith D., University of St Andrews. School of Geography & Sustainable Development, and Systems Ecology
Subjects: 0106 biological sciences, Chemistry(all), Software_GENERAL, Bos- en Landschapsecologie, General Physics and Astronomy, Forests, 01 natural sciences, Amazonegebied, Carbon sink, Trees, Growth–survival trade-off, Risk Factors, Tropical climate, Forest and Landscape Ecology, Biomass, lcsh:Science, Biomass (ecology), GE, Multidisciplinary, Ecology, Amazon rainforest, Bomen, Mortality rate, food and beverages, risk factors, mortality, trees, PE&RC, Tropical ecology, Tree (data structure), population characteristics, Vegetatie, Bos- en Landschapsecologie, InformationSystems_MISCELLANEOUS, Brazil, geographic locations, GE Environmental Sciences, Environmental Monitoring, Carbon Sequestration, Science, Physics and Astronomy(all), Models, Biological, 010603 evolutionary biology, General Biochemistry, Genetics and Molecular Biology, Article, Tree mortality, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Amazonia, Tropische bossen, parasitic diseases, Forest ecology, Life Science, Bosecologie en Bosbeheer, Ecosystem, Author Correction, Vegetatie, Proportional Hazards Models, Tropical Climate, Vegetation, Biochemistry, Genetics and Molecular Biology(all), DAS, social sciences, General Chemistry, Carbon Dioxide, 15. Life on land, Forest Ecology and Forest Management, Sterfte, lcsh:Q, Vegetation, Forest and Landscape Ecology, 010606 plant biology & botany
Abstract: The carbon sink capacity of tropical forests is substantially affected by tree mortality. However, the main drivers of tropical tree death remain largely unknown. Here we present a pan-Amazonian assessment of how and why trees die, analysing over 120,000 trees representing > 3800 species from 189 long-term RAINFOR forest plots. While tree mortality rates vary greatly Amazon-wide, on average trees are as likely to die standing as they are broken or uprooted—modes of death with different ecological consequences. Species-level growth rate is the single most important predictor of tree death in Amazonia, with faster-growing species being at higher risk. Within species, however, the slowest-growing trees are at greatest risk while the effect of tree size varies across the basin. In the driest Amazonian region species-level bioclimatic distributional patterns also predict the risk of death, suggesting that these forests are experiencing climatic conditions beyond their adaptative limits. These results provide not only a holistic pan-Amazonian picture of tree death but large-scale evidence for the overarching importance of the growth–survival trade-off in driving tropical tree mortality., Tree mortality has been shown to be the dominant control on carbon storage in Amazon forests, but little is known of how and why Amazon forest trees die. Here the authors analyse a large Amazon-wide dataset, finding that fast-growing species face greater mortality risk, but that slower-growing individuals within a species are more likely to die, regardless of size.
Published: 2020

37. Leaf‐level photosynthetic capacity in lowland Amazonian and high‐elevation Andean tropical moist forests of Peru

Author: Jon Lloyd, Roberta E. Martin, Odhran S. O'Sullivan, Felipe Sinca, Katherine Quispe Huaypar, Israel Cuba Torres, Benedict M. Long, Tomas F. Domingues, Jhon del Aguila-Pasquel, Carlos A. Quesada, F. Yoko Ishida, Paola P. Zuloaga Ccorimanya, Norma Salinas, Patrick Meir, Rossella Guerrieri, Eric G. Cosio, Yulina Pelaez Tapia, Keith J. Bloomfield, John R. Evans, Judit Huaman Ovalle, Rosalbina Butrón Loayza, Alberto Escudero Vega, Oliver L. Phillips, Lasantha K. Weerasinghe, Nur H. A. Bahar, Yadvinder Malhi, Owen K. Atkin, Gregory P. Asner, Bahar N.H.A., Ishida F.Y., Weerasinghe L.K., Guerrieri R., O'Sullivan O.S., Bloomfield K.J., Asner G.P., Martin R.E., Lloyd J., Malhi Y., Phillips O.L., Meir P., Salinas N., Cosio E.G., Domingues T.F., Quesada C.A., Sinca F., Escudero Vega A., Zuloaga Ccorimanya P.P., del Aguila-Pasquel J., Quispe Huaypar K., Cuba Torres I., Butron Loayza R., Pelaez Tapia Y., Huaman Ovalle J., Long B.M., Evans J.R., and Atkin O.K.
Subjects: 0106 biological sciences, elevation, Physiology, phosphorus (P), Enzyme Assay, Plant Science, Forests, 01 natural sciences, Tropic Climate, chemistry.chemical_compound, Abundance, ribulose bisphosphate regeneration, Abundance (ecology), nitrogen (N), Peru, Ribulose-bisphosphate Carboxylase, Photosynthesis, Tropical and subtropical moist broadleaf forests, leaf trait, biology, Amazon rainforest, Altitude, Temperature, Phosphorus, Chemistry, Plant Leave, Carboxylic Acid, tropical forest, Nitrogen, Ribulose-Bisphosphate Carboxylase, Species Difference, chemistry.chemical_element, Amazonas, Andes, Anatomy And Histology, Models, Biological, 010603 evolutionary biology, Enzyme Activity, Biological Model, Photosynthesi, Species Specificity, Botany, Moisture Content, Tropical Forest, Plant Leaf, Forest, Enzyme Assays, Kinetic, Tropical Climate, Forest Ecosystem, Brasil, RuBisCO, carboxylation capacity, Humidity, Carbon Dioxide, 15. Life on land, Photosynthetic capacity, Leaf Area, Plant Leaves, Kinetics, Metabolism, Temperature Effect, chemistry, CICLO DO CARBONO, Chlorophyll, Elevation, biology.protein, 010606 plant biology & botany
Abstract: We examined whether variations in photosynthetic capacity are linked to variations in the environment and/or associated leaf traits for tropical moist forests (TMFs) in the Andes/western Amazon regions of Peru. We compared photosynthetic capacity (maximal rate of carboxylation of Rubisco (Vcmax), and the maximum rate of electron transport (Jmax)), leaf mass, nitrogen (N) and phosphorus (P) per unit leaf area (Ma, Na and Pa, respectively), and chlorophyll from 210 species at 18 field sites along a 3300-m elevation gradient. Western blots were used to quantify the abundance of the CO2-fixing enzyme Rubisco. Area- and N-based rates of photosynthetic capacity at 25°C were higher in upland than lowland TMFs, underpinned by greater investment of N in photosynthesis in high-elevation trees. Soil [P] and leaf Pa were key explanatory factors for models of area-based Vcmax and Jmax but did not account for variations in photosynthetic N-use efficiency. At any given Na and Pa, the fraction of N allocated to photosynthesis was higher in upland than lowland species. For a small subset of lowland TMF trees examined, a substantial fraction of Rubisco was inactive. These results highlight the importance of soil- and leaf-P in defining the photosynthetic capacity of TMFs, with variations in N allocation and Rubisco activation state further influencing photosynthetic rates and N-use efficiency of these critically important forests. © 2016 The Authors. New Phytologist © 2016 New Phytologist Trust
Published: 2016

38. 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

39. An integrated pan-tropical biomass map using multiple reference datasets

Author: Hans Verbeeck, Slik J.W. Ferry, Terry Sunderland, Cécile A. J. Girardin, Pascal Boeckx, John Armston, Lindsay F. Banin, Lan Qie, Marcela J. Quinones, Bernardus H. J. de Jong, Gabriela Lopez-Gonzalez, Richard Lucas, Edward T. A. Mitchard, Riccardo Valentini, Martin Herold, Valerio Avitabile, Laszlo Nagy, Jeremy A. Lindsell, Elizabeth Kearsley, Simon L. Lewis, Arief Wijaya, Nicolas Bayol, Nicholas J. Berry, Casey M. Ryan, Gaia Vaglio Laurin, Ben DeVries, Roberto Cazzolla Gatti, Yadvinder Malhi, Gerard B. M. Heuvelink, Oliver L. Phillips, Alexandra C. Morel, Peter S. Ashton, Gregory P. Asner, Simon Willcock, Avitabile V., Herold M., Heuvelink G.B.M., Lewis S.L., Phillips O.L., Asner G.P., Armston J., Ashton P.S., Banin L., Bayol N., Berry N.J., Boeckx P., de Jong B.H.J., Devries B., Girardin C.A.J., Kearsley E., Lindsell J.A., Lopez-Gonzalez G., Lucas R., Malhi Y., Morel A., Mitchard E.T.A., Nagy L., Qie L., Quinones M.J., Ryan C.M., Ferry S.J.W., Sunderland T., Laurin G.V., Cazzolla Gatti R., Valentini R., Verbeeck H., Wijaya A., and Willcock S.
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Mean squared error, Forest plot, Climate change, Datasets as Topic, Structural basin, 010603 evolutionary biology, 01 natural sciences, Ecology and Environment, Trees, Laboratory of Geo-information Science and Remote Sensing, Tropical forest, Environmental Chemistry, Satellite imagery, Laboratorium voor Geo-informatiekunde en Remote Sensing, Biomass, Aboveground bioma, 0105 earth and related environmental sciences, General Environmental Science, Remote sensing, Global and Planetary Change, Tropical Climate, Forest inventory, Ecology, Tropics, Aboveground biomass, Carbon cycle, 15. Life on land, Models, Theoretical, Sensor fusion, PE&RC, Forest plots, Satellite mapping, 13. Climate action, Spatial ecology, Environmental science, Physical geography, REDD+, ISRIC - World Soil Information, Maps as Topic
Abstract: We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns indicated by the reference data. The method was applied independently in areas (strata) with homogeneous error patterns of the input (Saatchi and Baccini) maps, which were estimated from the reference data and additional covariates. Based on the fused map, we estimated AGB stock for the tropics (23.4 N-23.4 S) of 375 Pg dry mass, 9-18% lower than the Saatchi and Baccini estimates. The fused map also showed differing spatial patterns of AGB over large areas, with higher AGB density in the dense forest areas in the Congo basin, Eastern Amazon and South-East Asia, and lower values in Central America and in most dry vegetation areas of Africa than either of the input maps. The validation exercise, based on 2118 estimates from the reference dataset not used in the fusion process, showed that the fused map had a RMSE 15-21% lower than that of the input maps and, most importantly, nearly unbiased estimates (mean bias 5Mg dry massha-1 vs. 21 and 28Mgha-1 for the input maps). The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets.
Published: 2016

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