Articles | Volume 18, issue 14
https://doi.org/10.5194/bg-18-4445-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-4445-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
29 Jul 2021
Research article | Highlight paper |
| 29 Jul 2021
| 29 Jul 2021
Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Ype van der Velde
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Florian Hofhansl
Biodiversity, Ecology, and Conservation Research Group, International Institute for Applied Systems Analysis (IIASA),
Laxenburg, Austria
Sebastiaan Luyssaert
Department of Ecological Science, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Kim Naudts
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Bart Driessen
Department of Computer Science, Universidad de Alcalá de Henares,
Madrid, Spain
Katrin Fleischer
Department of Biogeochemical Signals, Max Planck Institute for
Biogeochemistry, Jena, Germany
Han Dolman
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
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Jim Boonman, Mariet M. Hefting, Corine J. A. van Huissteden, Merit van den Berg, Jacobus (Ko) van Huissteden, Gilles Erkens, Roel Melman, and Ype van der Velde
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Lisa Noll, Shasha Zhang, Qing Zheng, Yuntao Hu, Florian Hofhansl, and Wolfgang Wanek
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Yitong Yao, Emilie Joetzjer, Philippe Ciais, Nicolas Viovy, Fabio Cresto Aleina, Jerome Chave, Lawren Sack, Megan Bartlett, Patrick Meir, Rosie Fisher, and Sebastiaan Luyssaert
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Tanya Juliette Rebecca Lippmann, Monique Heijmans, Han Dolman, Ype van der Velde, Dimmie Hendriks, and Ko van Huissteden
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-143, https://doi.org/10.5194/gmd-2022-143, 2022
Preprint withdrawn
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Guillaume Marie, B. Sebastiaan Luyssaert, Cecile Dardel, Thuy Le Toan, Alexandre Bouvet, Stéphane Mermoz, Ludovic Villard, Vladislav Bastrikov, and Philippe Peylin
Geosci. Model Dev., 15, 2599–2617, https://doi.org/10.5194/gmd-15-2599-2022, https://doi.org/10.5194/gmd-15-2599-2022, 2022
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Tiexi Chen, Renjie Guo, Qingyun Yan, Xin Chen, Shengjie Zhou, Chuanzhuang Liang, Xueqiong Wei, and Han Dolman
Biogeosciences, 19, 1515–1525, https://doi.org/10.5194/bg-19-1515-2022, https://doi.org/10.5194/bg-19-1515-2022, 2022
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Yousef Albuhaisi, Ype van der Velde, and Sander Houweling
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-55, https://doi.org/10.5194/bg-2022-55, 2022
Manuscript not accepted for further review
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Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efrén López-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Järvi Järveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St. Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, and Viacheslav I. Zyryanov
Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, https://doi.org/10.5194/essd-14-179-2022, 2022
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Tanya J. R. Lippmann, Michiel H. in 't Zandt, Nathalie N. L. Van der Putten, Freek S. Busschers, Marc P. Hijma, Pieter van der Velden, Tim de Groot, Zicarlo van Aalderen, Ove H. Meisel, Caroline P. Slomp, Helge Niemann, Mike S. M. Jetten, Han A. J. Dolman, and Cornelia U. Welte
Biogeosciences, 18, 5491–5511, https://doi.org/10.5194/bg-18-5491-2021, https://doi.org/10.5194/bg-18-5491-2021, 2021
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This paper is a step towards understanding the basal peat ecosystem beneath the North Sea. Plant remains followed parallel sequences. Methane concentrations were low with local exceptions, with the source likely being trapped pockets of millennia-old methane. Microbial community structure indicated the absence of a biofilter and was diverse across sites. Large carbon stores in the presence of methanogens and in the absence of methanotrophs have the potential to be metabolized into methane.
Jina Jeong, Jonathan Barichivich, Philippe Peylin, Vanessa Haverd, Matthew Joseph McGrath, Nicolas Vuichard, Michael Neil Evans, Flurin Babst, and Sebastiaan Luyssaert
Geosci. Model Dev., 14, 5891–5913, https://doi.org/10.5194/gmd-14-5891-2021, https://doi.org/10.5194/gmd-14-5891-2021, 2021
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We have proposed and evaluated the use of four benchmarks that leverage tree-ring width observations to provide more nuanced verification targets for land-surface models (LSMs), which currently lack a long-term benchmark for forest ecosystem functioning. Using relatively unbiased European biomass network datasets, we identify the extent to which presumed biases in the much larger International Tree-Ring Data Bank might degrade the validation of LSMs.
Peter Hoffmann, Vanessa Reinhart, Diana Rechid, Nathalie de Noblet-Ducoudré, Edouard L. Davin, Christina Asmus, Benjamin Bechtel, Jürgen Böhner, Eleni Katragkou, and Sebastiaan Luyssaert
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-252, https://doi.org/10.5194/essd-2021-252, 2021
Manuscript not accepted for further review
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This paper introduces the new high-resolution land-use land-cover change dataset LUCAS LUC historical and future land use and land cover change dataset (Version 1.0), tailored for use in regional climate models. Historical and projected future land use change information from the Land-Use Harmonization 2 (LUH2) dataset is translated into annual plant functional type changes from 1950 to 2015 and 2016 to 2100, respectively, by employing a newly developed land use translator.
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, and Robert B. Jackson
Earth Syst. Sci. Data, 13, 3607–3689, https://doi.org/10.5194/essd-13-3607-2021, https://doi.org/10.5194/essd-13-3607-2021, 2021
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Methane is an important greenhouse gas, yet we lack knowledge about its global emissions and drivers. We present FLUXNET-CH4, a new global collection of methane measurements and a critical resource for the research community. We use FLUXNET-CH4 data to quantify the seasonality of methane emissions from freshwater wetlands, finding that methane seasonality varies strongly with latitude. Our new database and analysis will improve wetland model accuracy and inform greenhouse gas budgets.
Vince P. Kaandorp, Hans Peter Broers, Ype van der Velde, Joachim Rozemeijer, and Perry G. B. de Louw
Hydrol. Earth Syst. Sci., 25, 3691–3711, https://doi.org/10.5194/hess-25-3691-2021, https://doi.org/10.5194/hess-25-3691-2021, 2021
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We reconstructed historical and present-day tritium, chloride, and nitrate concentrations in stream water of a catchment using
land-use-based input curves and calculated travel times of groundwater. Parameters such as the unsaturated zone thickness, mean travel time, and input patterns determine time lags between inputs and in-stream concentrations. The timescale of the breakthrough of pollutants in streams is dependent on the location of pollution in a catchment.
Jonathan Barichivich, Philippe Peylin, Thomas Launois, Valerie Daux, Camille Risi, Jina Jeong, and Sebastiaan Luyssaert
Biogeosciences, 18, 3781–3803, https://doi.org/10.5194/bg-18-3781-2021, https://doi.org/10.5194/bg-18-3781-2021, 2021
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The width and the chemical signals of tree rings have the potential to test and improve the physiological responses simulated by global land surface models, which are at the core of future climate projections. Here, we demonstrate the novel use of tree-ring width and carbon and oxygen stable isotopes to evaluate the representation of tree growth and physiology in a global land surface model at temporal scales beyond experimentation and direct observation.
Ana Maria Roxana Petrescu, Chunjing Qiu, Philippe Ciais, Rona L. Thompson, Philippe Peylin, Matthew J. McGrath, Efisio Solazzo, Greet Janssens-Maenhout, Francesco N. Tubiello, Peter Bergamaschi, Dominik Brunner, Glen P. Peters, Lena Höglund-Isaksson, Pierre Regnier, Ronny Lauerwald, David Bastviken, Aki Tsuruta, Wilfried Winiwarter, Prabir K. Patra, Matthias Kuhnert, Gabriel D. Oreggioni, Monica Crippa, Marielle Saunois, Lucia Perugini, Tiina Markkanen, Tuula Aalto, Christine D. Groot Zwaaftink, Hanqin Tian, Yuanzhi Yao, Chris Wilson, Giulia Conchedda, Dirk Günther, Adrian Leip, Pete Smith, Jean-Matthieu Haussaire, Antti Leppänen, Alistair J. Manning, Joe McNorton, Patrick Brockmann, and Albertus Johannes Dolman
Earth Syst. Sci. Data, 13, 2307–2362, https://doi.org/10.5194/essd-13-2307-2021, https://doi.org/10.5194/essd-13-2307-2021, 2021
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This study is topical and provides a state-of-the-art scientific overview of data availability from bottom-up and top-down CH4 and N2O emissions in the EU27 and UK. The data integrate recent emission inventories with process-based model data and regional/global inversions for the European domain, aiming at reconciling them with official country-level UNFCCC national GHG inventories in support to policy and to facilitate real-time verification procedures.
Ana Maria Roxana Petrescu, Matthew J. McGrath, Robbie M. Andrew, Philippe Peylin, Glen P. Peters, Philippe Ciais, Gregoire Broquet, Francesco N. Tubiello, Christoph Gerbig, Julia Pongratz, Greet Janssens-Maenhout, Giacomo Grassi, Gert-Jan Nabuurs, Pierre Regnier, Ronny Lauerwald, Matthias Kuhnert, Juraj Balkovič, Mart-Jan Schelhaas, Hugo A. C. Denier van der
Gon, Efisio Solazzo, Chunjing Qiu, Roberto Pilli, Igor B. Konovalov, Richard A. Houghton, Dirk Günther, Lucia Perugini, Monica Crippa, Raphael Ganzenmüller, Ingrid T. Luijkx, Pete Smith, Saqr Munassar, Rona L. Thompson, Giulia Conchedda, Guillaume Monteil, Marko Scholze, Ute Karstens, Patrick Brockmann, and Albertus Johannes Dolman
Earth Syst. Sci. Data, 13, 2363–2406, https://doi.org/10.5194/essd-13-2363-2021, https://doi.org/10.5194/essd-13-2363-2021, 2021
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This study is topical and provides a state-of-the-art scientific overview of data availability from bottom-up and top-down CO2 fossil emissions and CO2 land fluxes in the EU27+UK. The data integrate recent emission inventories with ecosystem data, land carbon models and regional/global inversions for the European domain, aiming at reconciling CO2 estimates with official country-level UNFCCC national GHG inventories in support to policy and facilitating real-time verification procedures.
Wolfgang A. Obermeier, Julia E. M. S. Nabel, Tammas Loughran, Kerstin Hartung, Ana Bastos, Felix Havermann, Peter Anthoni, Almut Arneth, Daniel S. Goll, Sebastian Lienert, Danica Lombardozzi, Sebastiaan Luyssaert, Patrick C. McGuire, Joe R. Melton, Benjamin Poulter, Stephen Sitch, Michael O. Sullivan, Hanqin Tian, Anthony P. Walker, Andrew J. Wiltshire, Soenke Zaehle, and Julia Pongratz
Earth Syst. Dynam., 12, 635–670, https://doi.org/10.5194/esd-12-635-2021, https://doi.org/10.5194/esd-12-635-2021, 2021
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We provide the first spatio-temporally explicit comparison of different model-derived fluxes from land use and land cover changes (fLULCCs) by using the TRENDY v8 dynamic global vegetation models used in the 2019 global carbon budget. We find huge regional fLULCC differences resulting from environmental assumptions, simulated periods, and the timing of land use and land cover changes, and we argue for a method consistent across time and space and for carefully choosing the accounting period.
Ove H. Meisel, Joshua F. Dean, Jorien E. Vonk, Lukas Wacker, Gert-Jan Reichart, and Han Dolman
Biogeosciences, 18, 2241–2258, https://doi.org/10.5194/bg-18-2241-2021, https://doi.org/10.5194/bg-18-2241-2021, 2021
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Arctic permafrost lakes form thaw bulbs of unfrozen soil (taliks) beneath them where carbon degradation and greenhouse gas production are increased. We analyzed the stable carbon isotopes of Alaskan talik sediments and their porewater dissolved organic carbon and found that the top layers of these taliks are likely more actively degraded than the deeper layers. This in turn implies that these top layers are likely also more potent greenhouse gas producers than the underlying deeper layers.
Liang Yu, Joachim C. Rozemeijer, Hans Peter Broers, Boris M. van Breukelen, Jack J. Middelburg, Maarten Ouboter, and Ype van der Velde
Hydrol. Earth Syst. Sci., 25, 69–87, https://doi.org/10.5194/hess-25-69-2021, https://doi.org/10.5194/hess-25-69-2021, 2021
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The assessment of the collected water quality information is for the managers to find a way to improve the water environment to satisfy human uses and environmental needs. We found groundwater containing high concentrations of nutrient mixes with rain water in the ditches. The stable solutes are diluted during rain. The change in nutrients over time is determined by and uptaken by organisms and chemical processes. The water is more enriched with nutrients and looked
dirtierduring winter.
Cited articles
Albert, L. P., Wu, J., Prohaska, N., de Camargo, P. B., Huxman, T. E.,
Tribuzy, E. S., Ivanov, V. Y., Oliveira, R. S., Garcia, S., Smith, M. N.,
Oliveira Junior, R. C., Restrepo-Coupe, N., da Silva, R., Stark, S. C.,
Martins, G. A., Penha, D. V., and Saleska, S. R.: Age-dependent leaf
physiology and consequences for crown-scale carbon uptake during the dry
season in an Amazon evergreen forest, New Phytol., 219, 870–884,
https://doi.org/10.1111/nph.15056, 2018.
Andela, N., Liu, Y. Y., M. Van Dijk, A. I. J., De Jeu, R. A. M., and McVicar,
T. R.: Global changes in dryland vegetation dynamics (1988–2008) assessed by
satellite remote sensing: Comparing a new passive microwave vegetation
density record with reflective greenness data, Biogeosciences, 10,
6657–6676, https://doi.org/10.5194/bg-10-6657-2013, 2013.
Anderson, L. O., Malhi, Y., Aragão, L. E. O. C., Ladle, R., Arai, E.,
Barbier, N., and Phillips, O.: Remote sensing detection of droughts in
Amazonian forest canopies, New Phytol., 187, 733–750,
https://doi.org/10.1111/j.1469-8137.2010.03355.x, 2010.
Anderson, L. O., Neto, G. R., Cunha, A. P., Fonseca, M. G., De Moura, Y. M.,
Dalagnol, R., Wagner, F. H., and De Aragão, L. E. O. E. C.: Vulnerability of Amazonian forests to repeated droughts, Philos. T. R. Soc. B, 373, 20170411, https://doi.org/10.1098/rstb.2017.0411, 2018.
Aragão, L. E. O. C., Malhi, Y., Metcalfe, D. B., Silva-Espejo, J. E.,
Jiménez, E., Navarrete, D., Almeida, S., Costa, A. C. L., Salinas, N.,
Phillips, O. L., Anderson, L. O., Baker, T. R., Goncalvez, P. H.,
Huamán-Ovalle, J., Mamani-Solórzano, M., Meir, P., Monteagudo, A.,
Peñuela, M. C., Prieto, A., Quesada, C. A., Rozas-Dávila, A., Rudas,
A., Silva Junior, J. A., and Vásquez, R.: Above- and below-ground net
primary productivity across ten Amazonian forests on contrasting soils,
Biogeosciences, 6, 2441–2488, https://doi.org/10.5194/bgd-6-2441-2009, 2009.
Asner, G. P. and Alencar, A.: Drought impacts on the Amazon forest: The
remote sensing perspective, New Phytol., 187, 569–578,
https://doi.org/10.1111/j.1469-8137.2010.03310.x, 2010.
Asner, G. P., Townsend, A. R., and Braswell, B. H.: Satellite observation of
El Niiio effects on Amazon forest, Geophys. Res. Lett., 27, 981–984,
2000.
Baker, T. R., Affum-Baffoe, K., Burslem, D. F. R. P., and Swaine, M. D.:
Phenological differences in tree water use and the timing of tropical forest
inventories: Conclusions from patterns of dry season diameter change, Forest
Ecol. Manag., 171, 261–274, https://doi.org/10.1016/S0378-1127(01)00787-3, 2002.
Banin, L., Lewis, S. L., Lopez-Gonzalez, G., Baker, T. R., Quesada, C. A.,
Chao, K. J., Burslem, D. F. R. P., Nilus, R., Abu Salim, K., Keeling, H. C.,
Tan, S., Davies, S. J., Monteagudo Mendoza, A., Vásquez, R., Lloyd, J.,
Neill, D. A., Pitman, N., and Phillips, O. L.: Tropical forest wood
production: A cross-continental comparison, J. Ecol., 102, 1025–1037,
https://doi.org/10.1111/1365-2745.12263, 2014.
Batista, G. T., Shimabukuro, Y. E., and Lawrence, W. T.: The long-term
monitoring of vegetation cover in the Amazonian region of northern Brazil
using NOAA-AVHRR data, Int. J. Remote Sens., 18, 3195–3210,
https://doi.org/10.1080/014311697217044, 1997.
Bischl, B., Lang, M., Kotthoff, L., Schratz, P., Schiffner, J., Richter, J.,
Jones, Z., and Al., E.: Machine Learning in R, available at:
https://mlr.mlr-org.com (last access: 28 April 2021), 2020.
Boisier, J. P., Ciais, P., Ducharne, A., and Guimberteau, M.: Projected
strengthening of Amazonian dry season by constrained climate model
simulations, Nat. Clim. Change, 5, 656–660, https://doi.org/10.1038/nclimate2658,
2015.
Bonal, D., Sabatier, D., Montpied, P., Tremeaux, D., and Guehl, J.-M.:
Interspecific variability of δ13C among trees in rainforests of
French Guiana: functional groups and canopy integration, Oecologia, 124,
454–468, https://doi.org/10.1007/pl00008871, 2000a.
Bonal, D., Barigah, T. S., Granier, A., and Guehl, J. M.: Late-stage canopy
tree species with extremely low δ13C and high stomatal sensitivity
to seasonal soil drought in the tropical rainforest of French Guiana, Plant
Cell Environ., 23, 445–459, https://doi.org/10.1046/j.1365-3040.2000.00556.x, 2000b.
Bonal, D., Atger, C., Barigah, T. S., Ferhi, A. A. A., Guehl, J.-M. M.,
Ferry, B., Atger, C., Barigah, T. S., Bonal, D., Guehl, J.-M. M., Ferry, B.,
Atger, C., Barigah, T. S., Ferhi, A. A. A., Guehl, J.-M. M., and Ferry, B.:
Water acquisition patterns of two wet tropical canopy tree species of French
Guiana as inferred from (H2O)-O-18 extraction profiles, Ann. For. Sci.,
57, 717–724, https://doi.org/10.1051/forest:2000152, 2000c.
Bonal, D., Bosc, A., Ponton, S., Goret, J. Y., Burban, B. T., Gross, P.,
Bonnefond, J. M., Elbers, J., Longdoz, B., Epron, D., Guehl, J. M., and
Granier, A.: Impact of severe dry season on net ecosystem exchange in the
Neotropical rainforest of French Guiana, Glob. Change Biol., 14,
1917–1933, https://doi.org/10.1111/j.1365-2486.2008.01610.x, 2008.
Borchert, R.: Water status and development of tropical trees during seasonal
drought, Trees, 8, 115–125, https://doi.org/10.1007/BF00196635, 1994.
Borchert, R., Rivera, G., and Hagnauer, W.: Modification of vegetative
phenology in a tropical semi-deciduous forest by abnormal drought and rain,
Biotropica, 34, 27–39, https://doi.org/10.1111/j.1744-7429.2002.tb00239.x, 2002.
Borchert, R., Calle, Z., Strahler, A. H., Baertschi, A., Magill, R. E.,
Broadhead, J. S., Kamau, J., Njoroge, J., and Muthuri, C.: Insolation and
photoperiodic control of tree development near the equator, New Phytol.,
205, 7–13, https://doi.org/10.1111/nph.12981, 2015.
Brum, M., López, J. G., Asbjornsen, H., Licata, J., Pypker, T., Sanchez,
G., and Oiveira, R. S.: ENSO effects on the transpiration of eastern Amazon trees, Philos. T. R. Soc. B, 373, 20180085,
https://doi.org/10.1098/rstb.2018.0085, 2018.
Brum, M., Vadeboncoeur, M. A., Ivanov, V., Asbjornsen, H., Saleska, S.,
Alves, L. F., Penha, D., Dias, J. D., Aragão, L. E. O. C., Barros, F.,
Bittencourt, P., Pereira, L., and Oliveira, R. S.: Hydrological niche
segregation defines forest structure and drought tolerance strategies in a
seasonal Amazon forest, J. Ecol., 107, 318–333,
https://doi.org/10.1111/1365-2745.13022, 2019.
Butler, E. E., Datta, A., Flores-Moreno, H., Chen, M., Wythers, K. R.,
Fazayeli, F., Banerjee, A., Atkin, O. K., Kattge, J., Amiaud, B., Blonder,
B., Boenisch, G., Bond-Lamberty, B., Brown, K. A., Byun, C., Campetella, G.,
Cerabolini, B. E. L., Cornelissen, J. H. C., Craine, J. M., Craven, D., de
Vries, F. T., Díaz, S., Domingues, T. F., Forey, E., González-Melo,
A., Gross, N., Han, W., Hattingh, W. N., Hickler, T., Jansen, S., Kramer,
K., Kraft, N. J. B., Kurokawa, H., Laughlin, D. C., Meir, P., Minden, V.,
Niinemets, Ü., Onoda, Y., Peñuelas, J., Read, Q., Sack, L., Schamp,
B., Soudzilovskaia, N. A., Spasojevic, M. J., Sosinski, E., Thornton, P. E.,
Valladares, F., van Bodegom, P. M., Williams, M., Wirth, C., and Reich, P.
B.: Mapping local and global variability in plant trait distributions, P.
Natl. Acad. Sci. USA, 114, E10937–E10946, https://doi.org/10.1073/pnas.1708984114, 2017.
Chave, J., Navarrete, D., Almeida, S., Álvarez, E., Aragão, L. E. O.
C., Bonal, D., Châtelet, P., Silva-Espejo, J. E., Goret, J. Y., Von
Hildebrand, P., Jiménez, E., Patiño, S., Peñuela, M. C.,
Phillips, O. L., Stevenson, P., and Malhi, Y.: Regional and seasonal patterns
of litterfall in tropical South America, Biogeosciences, 7, 43–55,
https://doi.org/10.5194/bg-7-43-2010, 2010.
Chen, T. and Guestrin, C.: Xgboost: A scalable tree boosting system, in: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, 785–794, 2016.
Chen, T., He, T., Benesty, M., Khotilovich, V., Tang, Y., Cho, H., Chen, K.,
Mitchel, R., Cano, I., Zhou, T., Li, M., Xie, J., Lin, M., Geng, Y., and Li,
Y.: Extreme Gradient Boosting, Packag. “xgboost”, available at: https://cran.r-project.org/web/packages/xgboost/index.html (last access: 19 July 2020),
https://doi.org/10.1145/2939672.2939785, 2020.
Clark, D. A., Piper, S. C., Keeling, C. D., and Clark, D. B.: Tropical rain
forest tree growth and atmospheric carbon dynamics linked to interannual
temperature variation during 1984–2000, P. Natl. Acad. Sci. USA, 100,
5852–5857, https://doi.org/10.1073/pnas.0935903100, 2003.
Cox, P. M., Harris, P. P., Huntingford, C., Betts, R. A., Collins, M.,
Jones, C. D., Jupp, T. E., Marengo, J. A., and Nobre, C. A.: Increasing risk
of Amazonian drought due to decreasing aerosol pollution, Nature, 453,
212–215, https://doi.org/10.1038/nature06960, 2008.
Dessay, N., Laurent, H., Machado, L. A. T., Shimabukuro, Y. E., Batista, G.
T., Diedhiou, A., and Ronchail, J.: Comparative study of the 1982–1983 and
1997–1998 El Nino events over different types of vegetation in South
America, Int. J. Remote Sens., 25, 4063–4077,
https://doi.org/10.1080/0143116031000101594, 2004.
Detto, M., Wright, S. J., Calderón, O., and Muller-Landau, H. C.:
Resource acquisition and reproductive strategies of tropical forest in
response to the El Niño-Southern Oscillation, Nat. Commun., 9, 1–8,
https://doi.org/10.1038/s41467-018-03306-9, 2018.
Dias, D. P. and Marenco, R. A.: Tree growth, wood and bark water content of
28 Amazonian tree species in response to variations in rainfall and wood
density, IForest, 9, 445–451, https://doi.org/10.3832/ifor1676-008, 2016.
Didan, K.: MOD13C2 MODIS/Terra Vegetation Indices Monthly L3 Global 0.05Deg CMG V006 [Data set], NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MOD13C2.006 (last access: 19 July 2021), 2015.
Doughty, C. E. and Goulden, M. L.: Seasonal patterns of tropical forest leaf
area index and CO2 exchange, J. Geophys. Res.-Biogeo., 114,
G1, https://doi.org/10.1029/2007JG000590, 2009.
Doughty, C. E., Malhi, Y., Araujo-murakami, A., Metcalfe, D. B.,
Silva-Espejo, J. E., Arroyo, L., Heredia, J. P., Pardo-Toledo, E.,
Mendizabal, L. M., Rojas-Landivar, V. D., Vega-Martinez, M.,
Flores-Valencia, M., Sibler-Rivero, R., Moreno-Vare, L., Jessica Viscarra,
L., Chuviru-Castro, T., Osinaga-Becerra, M., Ledezma, R., Javier, E.,
Arroyo, L., Heredia, J. P., Pardo-Toledo, E., Mendizabal, L. M., and Victor,
D.: Allocation trade-offs dominate the response of tropical forest growth to
seasonal and interannual drought, Ecology, 95, 1–6,
https://doi.org/10.1890/13-1507.1, 2014.
Doughty, C. E., Metcalfe, D. B., Girardin, C. A. J., Amézquita, F. F.,
Cabrera, D. G., Huasco, W. H., 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.: Drought impact on forest
carbon dynamics and fluxes in Amazonia, Nature, 519, 78–82,
https://doi.org/10.1038/nature14213, 2015a.
Doughty, C. E., Metcalfe, D. B., Girardin, C. a J., Amezquita, F. F.,
Durand, L., Huasco, W. H., Costa, M. C., Costa, a C. L., Rocha, W., Meir,
P., Galbraith, D., and Malhi, Y.: Source and sink carbon dynamics and carbon
allocation in the Amazon basin, Global Biogeochem. Cy., 29, 1–11,
https://doi.org/10.1002/2014GB005028, 2015b.
Elliott, S., Baker, P. J., and Borchert, R.: Leaf flushing during the dry
season: the paradox of Asian monsoon forests, Glob. Ecol. Biogeogr., 15,
248–257, https://doi.org/10.1111/j.1466-822x.2006.00213.x, 2006.
Fan, J., Yue, W., Wu, L., Zhang, F., Cai, H., Wang, X., Lu, X., and Xiang,
Y.: Evaluation of SVM, ELM and four tree-based ensemble models for
predicting daily reference evapotranspiration using limited meteorological
data in different climates of China, Agr. Forest Meteorol., 263,
225–241, https://doi.org/10.1016/j.agrformet.2018.08.019, 2018.
Feldpausch, T. R., Phillips, O. L., Brienen, R. J. W., Gloor, E., Lloyd, J.,
Malhi, Y., Alarcón, A., Dávila, E. Á., Andrade, A., Aragao, L.
E. O. C., Arroyo, L., Aymard, G. A. C., Baker, T. R., Baraloto, C., Barroso,
J., Bonal, D., Castro, W., Chama, V., Chave, J., Domingues, T. F., Fauset,
S., Groot, N., Coronado, E. H., Laurance, S., Laurance, W. F., Lewis, S. L.,
Licona, J. C., Marimon, B. S., Bautista, C. M., Neill, D. A., Oliveira, E.
A., Santos, C. O., Camacho, N. C. P., Prieto, A., Quesada, C. A.,
Ramírez, F., Rudas, A., Saiz, G., Salomão, R. P., Silveira, M.,
Steege, H., Stropp, J., Terborgh, J., Heijden, G. M. F., Martinez, R. V.,
Vilanova, E., and Vos, V. A.: Amazon forest response to repeated droughts,
Global Biogeochem. Cy., 30, 964–982,
https://doi.org/10.1002/2015GB005133.Received, 2016.
Fleischer, K., Rammig, A., De Kauwe, M. G., Walker, A. P., Domingues, T. F.,
Fuchslueger, L., Garcia, S., Goll, D. S., Grandis, A., Jiang, M., Haverd,
V., Hofhansl, F., Holm, J. A., Kruijt, B., Leung, F., Medlyn, B. E.,
Mercado, L. M., Norby, R. J., Pak, B., von Randow, C., Quesada, C. A.,
Schaap, K. J., Valverde-Barrantes, O. J., Wang, Y.-P., Yang, X., Zaehle, S.,
Zhu, Q., and Lapola, D. M.: Amazon forest response to CO2 fertilization
dependent on plant phosphorus acquisition, Nat. Geosci., 12, 736–741,
https://doi.org/10.1038/s41561-019-0404-9, 2019.
Frappart, F., Wigneron, J. P., Li, X., Liu, X., Al-Yaari, A., Fan, L., Wang,
M., Moisy, C., Le Masson, E., Lafkih, Z. A., Vallé, C., Ygorra, B., and
Baghdadi, N.: Global monitoring of the vegetation dynamics from the
vegetation optical depth (VOD): A review, Remote Sens., 12, 7–10,
https://doi.org/10.3390/RS12182915, 2020.
Frolking, S., Milliman, T., Palace, M., Wisser, D., Lammers, R., and
Fahnestock, M.: Tropical forest backscatter anomaly evident in SeaWinds
scatterometer morning overpass data during 2005 drought in Amazonia, Remote
Sens. Environ., 115, 897–907, https://doi.org/10.1016/j.rse.2010.11.017, 2011.
Frolking, S., Hagen, S., Braswell, B., Milliman, T., Herrick, C., Peterson,
S., Roberts, D., Keller, M., and Palace, M.: Evaluating multiple causes of
persistent low microwave backscatter from Amazon forests after the 2005
drought, PLoS One, 12, 1–22, https://doi.org/10.1371/journal.pone.0183308, 2017.
Fu, R., Yin, L., Li, W., Arias, P. A., Dickinson, R. E., Huang, L.,
Chakraborty, S., Fernandes, K., Liebmann, B., Fisher, R., and Myneni, R. B.:
Increased dry-season length over southern Amazonia in recent decades and its
implication for future climate projection, P. Natl. Acad. Sci. USA, 110,
18110–18115, https://doi.org/10.1073/pnas.1302584110, 2013.
Gao, X., Huete, A. R., Ni, W., and Miura, T.: Optical-biophysical
relationships of vegetation spectra without background contamination, Remote
Sens. Environ., 74, 609–620, https://doi.org/10.1016/S0034-4257(00)00150-4, 2000.
Girardin, C. A., Malhi, Y., Doughty, C. E., Metcalfe, D. B., Meir, P., del Aguila‐Pasquel, J., Araujo‐Murakami, A., Da Costa, A. C., Silva‐Espejo, J. E., Farfan Amézquita, F., and Rowland, L.: Seasonal trends of Amazonian
rainforest phenology, net primary productivity, and carbon allocation,
Global Biogeochem. Cy., 30, 700–715,
https://doi.org/10.1002/2015GB005270.Received, 2016.
Gloor, M., Brienen, R. J. W., Galbraith, D., Feldpausch, T. R.,
Schöngart, J., Guyot, J. L., Espinoza, J. C., Lloyd, J., and Phillips, O.
L.: Intensification of the Amazon hydrological cycle over the last two
decades, Geophys. Res. Lett., 40, 1729–1733, https://doi.org/10.1002/grl.50377,
2013.
Gonçalves, N. B., Lopes, A. P., Dalagnol, R., Wu, J., Pinho, D. M., and
Nelson, B. W.: Both near-surface and satellite remote sensing confirm
drought legacy effect on tropical forest leaf phenology after 2015/2016 ENSO
drought, Remote Sens. Environ., 237, 111489,
https://doi.org/10.1016/j.rse.2019.111489, 2020.
Guyon, I. and Elisseeff, A.: An Introduction to Variable and Feature
Selection Isabelle, J. Mach. Learn. Res., 3, 1157–1182, 2003.
Hansen, M. and Song, X.: Vegetation Continuous Fields (VCF) Yearly Global 0.05 Deg [Data set], NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MEaSUREs/VCF/VCF5KYR.001 (last access: 19 July 2021), 2018.
Heineman, K. D., Caballero, P., Morris, A., Velasquez, C., Serrano, K.,
Ramos, N., Gonzalez, J., Mayorga, L., Corre, M. D., and Dalling, J. W.:
Variation in canopy litterfall along a precipitation and soil fertility
gradient in a panamanian lower montane forest, Biotropica, 47, 300–309,
https://doi.org/10.1111/btp.12214, 2015.
Hengl, T., Heuvelink, G. B. M., Kempen, B., Leenaars, J. G. B., Walsh, M.
G., Shepherd, K. D., Sila, A., MacMillan, R. A., Mendes de Jesus, J.,
Tamene, L., and Tondoh, J. E.: Mapping Soil Properties of Africa at 250 m
Resolution: Random Forests Significantly Improve Current Predictions, PLoS
One, 10, e0125814, https://doi.org/10.1371/journal.pone.0125814, 2015.
Hengl, T., De Jesus, J. M., Heuvelink, G. B. M., Gonzalez, M. R., Kilibarda,
M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X.,
Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A.,
Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S., and
Kempen, B.: SoilGrids250m: Global gridded soil information based on machine
learning, PLoS one, 12, e0169748, https://doi.org/10.1371/journal.pone.0169748, 2017.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková,
M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay,
P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5
global reanalysis, Q. J. R. Meteorol. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
Hofhansl, F., Kobler, J., Ofner, J., Drage, S., Pölz, E. M., and Wanek,
W.: Sensitivity of tropical forest aboveground productivity to climate
anomalies in SW Costa Rica, Global Biogeochem. Cy., 28, 1437–1454,
https://doi.org/10.1002/2014GB004934, 2014.
Hofhansl, F., Org Schnecker, J., Singer, G., and Wanek, W.: New insights into
mechanisms driving carbon allocation in tropical forests, New Phytol., 205,
137–146, https://doi.org/10.1111/nph.13007, 2015.
Hofhansl, F., Andersen, K. M., Fleischer, K., Fuchslueger, L., Rammig, A.,
Schaap, K. J., Valverde-Barrantes, O. J., and Lapola, D. M.: Amazon Forest
Ecosystem Responses to Elevated Atmospheric CO2 and Alterations in Nutrient
Availability: Filling the Gaps with Model-Experiment Integration, Front.
Earth Sci., 4, 1–9, https://doi.org/10.3389/feart.2016.00019, 2016.
Hofhansl, F., Chacón-Madrigal, E., Fuchslueger, L., Jenking, D.,
Morera-Beita, A., Plutzar, C., Silla, F., Andersen, K. M., Buchs, D. M.,
Dullinger, S., Fiedler, K., Franklin, O., Hietz, P., Huber, W., Quesada, C.
A., Rammig, A., Schrodt, F., Vincent, A. G., Weissenhofer, A., and Wanek, W.:
Climatic and edaphic controls over tropical forest diversity and vegetation
carbon storage, Sci. Rep., 10, 1–11, https://doi.org/10.1038/s41598-020-61868-5,
2020.
Holm, J. A., Knox, R. G., Zhu, Q., Fisher, R. A., Koven, C. D., Nogueira
Lima, A. J., Riley, W. J., Longo, M., Negrón-Juárez, R. I., de
Araujo, A. C., Kueppers, L. M., Moorcroft, P. R., Higuchi, N., and Chambers,
J. Q.: The Central Amazon Biomass Sink Under Current and Future Atmospheric
CO2: Predictions From Big-Leaf and Demographic Vegetation Models, J.
Geophys. Res.-Biogeo., 125, 1–23, https://doi.org/10.1029/2019JG005500, 2020.
Huete, A., Didan, K., Shimabokuro, Y., Ferreira, L., and Rodriguez, E.:
Regional amazon basin and global analyses of MODIS vegetation indices: Early
results and comparisons with AVHRR, in: International Geoscience and Remote
Sensing Symposium (IGARSS), 2, 536–538, 2000.
Jackson, T. J. and Schmugge, T. J.: Vegetation effects on the microwave
emission of soils, Remote Sens. Environ., 36, 203–212,
https://doi.org/10.1016/0034-4257(91)90057-D, 1991.
Janssen, T.: Replication Data for: Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest; reconciling remote sensing data and field observations, DataverseNL [data set], https://doi.org/10.34894/LY77IN, 2021.
Janssen, T., Fleischer, K., Luyssaert, S., Naudts, K., and Dolman, H.:
Drought resistance increases from the individual to the ecosystem level in
highly diverse Neotropical rainforest: a meta-analysis of leaf, tree and
ecosystem responses to drought, Biogeosciences, 17, 2621–2645,
https://doi.org/10.5194/bg-17-2621-2020, 2020a.
Janssen, T. A. J., Hölttä, T., Fleischer, K., Naudts, K., and Dolman,
A. H.: Wood allocation trade-offs between fiber wall, fiber lumen and axial
parenchyma drive drought resistance in neotropical trees, Plant. Cell
Environ., 43, 965–980, https://doi.org/10.1111/pce.13687, 2020b.
Jiménez-Muñoz, J. C., Mattar, C., Barichivich, J.,
Santamaría-Artigas, A., Takahashi, K., Malhi, Y., Sobrino, J. A., and
Schrier, G. van der: Record-breaking warming and extreme drought in the
Amazon rainforest during the course of El Niño 2015–2016, Sci. Rep., 6,
33130, https://doi.org/10.1038/srep33130, 2016.
Jones, M. O., Jones, L. A., Kimball, J. S., and McDonald, K. C.: Satellite
passive microwave remote sensing for monitoring global land surface
phenology, Remote Sens. Environ., 115, 1102–1114,
https://doi.org/10.1016/j.rse.2010.12.015, 2011.
Jones, M. O., Kimball, J. S., and Nemani, R. R.: Asynchronous Amazon forest
canopy phenology indicates adaptation to both water and light availability,
Environ. Res. Lett., 9, 124021, https://doi.org/10.1088/1748-9326/9/12/124021, 2014.
Kitajima, K., Mulkey, S. S., Samaniego, M., and Wright, S. J.: Decline of
photosynthetic capacity with leaf age and position in two tropical pioneer
tree species, Am. J. Bot., 89, 1925–1932, https://doi.org/10.3732/ajb.89.12.1925,
2002.
Koren, G., Van Schaik, E., Araújo, A. C., Boersma, K. F., Gärtner,
A., Killaars, L., Kooreman, M. L., Kruijt, B., Van Der Laan-Luijkx, I. T.,
Von Randow, C., Smith, N. E., and Peters, W.: Widespread reduction in
sun-induced fluorescence from the Amazon during the 2015/2016 El Niño,
Philos. T. R. Soc. B, 373, 20170408, https://doi.org/10.1098/rstb.2017.0408,
2018.
Körner, C. and Basel, M. L.: Growth Controls Photosynthesis – Mostly,
Nov. Acta Leopoldina, 283, 273–283, 2013.
Lapola, D. M., Oyama, M. D., and Nobre, C. A.: Exploring the range of climate
biome projections for tropical South America: The role of CO2 fertilization
and seasonality, Global Biogeochem. Cy., 23, 1–16,
https://doi.org/10.1029/2008GB003357, 2009.
Lee, J.-E., Frankenberg, C., van der Tol, C., Berry, J. A., Guanter, L.,
Boyce, C. K., Fisher, J. B., Morrow, E., Worden, J. R., Asefi, S., Badgley,
G., and Saatchi, S.: Forest productivity and water stress in Amazonia:
observations from GOSAT chlorophyll fluorescence, Proc. R. Soc. B, 280, 20130171, https://doi.org/10.1098/rspb.2013.0171, 2013.
Liu, X., Zeng, X., Zou, X., González, G., Wang, C., and Yang, S.:
Litterfall production prior to and during Hurricanes Irma and Maria in four
puerto Rican forests, Forests, 9, 367, https://doi.org/10.3390/f9060367, 2018a.
Liu, Y., de Jeu, R. A. M., van Dijk, A. I. J. M., and Owe, M.: TRMM-TMI
satellite observed soil moisture and vegetation density (1998-2005) show
strong connection with El Niño in eastern Australia, Geophys. Res.
Lett., 34, 15, https://doi.org/10.1029/2007GL030311, 2007.
Liu, Y. Y., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P., and de Jeu,
R. A. M.: Global vegetation biomass change (1988–2008) and attribution to
environmental and human drivers, Glob. Ecol. Biogeogr., 22, 692–705,
https://doi.org/10.1111/geb.12024, 2013.
Liu, Y. Y., van Dijk, A. I. J. M. J. M., de Jeu, R. A. M. M., Canadell, J.
G., McCabe, M. F., Evans, J. P., and Wang, G.: Recent reversal in loss of
global terrestrial biomass, Nat. Clim. Change, 5, 470–474,
https://doi.org/10.1038/nclimate2581, 2015.
Liu, Y. Y., van Dijk, A. I. J. M., Miralles, D. G., McCabe, M. F., Evans, J.
P., de Jeu, R. A. M., Gentine, P., Huete, A., Parinussa, R. M., Wang, L.,
Guan, K., Berry, J., and Restrepo-Coupe, N.: Enhanced canopy growth precedes
senescence in 2005 and 2010 Amazonian droughts, Remote Sens. Environ.,
211, 26–37, https://doi.org/10.1016/j.rse.2018.03.035, 2018b.
Malhi, Y., Aragão, L. E. O. C., Metcalfe, D. B., Paiva, R., Quesada, C.
A., Almeida, S., Anderson, L., Brando, P., Chambers, J. Q., da Costa, A. C.
L., Hutyra, L. R., Oliveira, P., Patiño, S., Pyle, E. H., Robertson, A.
L., and Teixeira, L. M.: Comprehensive assessment of carbon productivity,
allocation and storage in three Amazonian forests, Glob. Change Biol.,
15, 1255–1274, https://doi.org/10.1111/j.1365-2486.2008.01780.x, 2009a.
Malhi, Y., Aragao, L. E. O. C., Galbraith, D., Huntingford, C., Fisher, R.,
Zelazowski, P., Sitch, S., McSweeney, C., and Meir, P.: Exploring the
likelihood and mechanism of a climate-change-induced dieback of the Amazon
rainforest, P. Natl. Acad. Sci. USA, 106, 20610–20615,
https://doi.org/10.1073/pnas.0804619106, 2009b.
Maréchaux, I., Bonal, D., Bartlett, M. K., Burban, B., Coste, S.,
Courtois, E. A., Dulormne, M., Goret, J.-Y. Y., Mira, E., Mirabel, A., Sack,
L., Stahl, C., and Chave, J.: Dry-season decline in tree sapflux is
correlated with leaf turgor loss point in a tropical rainforest, Funct.
Ecol., 32, 2285–2297, https://doi.org/10.1111/1365-2435.13188, 2018.
Marengo, J. A., Ambrizzi, T., da Rocha, R. P., Alves, L. M., Cuadra, S. V.,
Valverde, M. C., Torres, R. R., Santos, D. C., and Ferraz, S. E. T.: Future
change of climate in South America in the late twenty-first century:
Intercomparison of scenarios from three regional climate models, Clim. Dynam.,
35, 1089–1113, https://doi.org/10.1007/s00382-009-0721-6, 2010.
Marengo, J. A., Tomasella, J., Alves, L. M., Soares, W. R., and Rodriguez, D.
A.: The drought of 2010 in the context of historical droughts in the Amazon
region, Geophys. Res. Lett., 38, 12, https://doi.org/10.1029/2011GL047436, 2011.
Meesters, A. G. C. A., De Jeu, R. A. M., and Owe, M.: Analytical derivation
of the vegetation optical depth from the microwave polarization difference
index, IEEE Geosci. Remote Sens. Lett., 2, 121–123,
https://doi.org/10.1109/LGRS.2005.843983, 2005.
Meinzer, C. F., Andrade, L. J., Goldstein, G., Holbrook, M. N., Cavelier, J.,
and Wright, J. S.: Partitioning of soil water among canopy trees in a
seasonally dry tropical forest, Oecologia, 121, 293–301,
https://doi.org/10.1007/s004420050931, 1999.
Meinzer, F. C., James, S. A., Goldstein, G., and Woodruff, D.: Whole-tree
water transport scales with sapwood capacitance in tropical forest canopy
trees, Plant, Cell Environ., 26, 1147–1155,
https://doi.org/10.1046/j.1365-3040.2003.01039.x, 2003.
Menezes, J., Garcia, S., Grandis, A., Nascimento, H., Domingues, T. F.,
Guedes, A., Aleixo, I., Camargo, P., Campos, J., Damasceno, A., Dias-Silva,
R., Fleischer, K., Kruijt, B., Longhi, A., Martins, N., Meir, P., Norby, R.
J., Pereira, I., Portela, B., Rammig, A., Ribeiro, A. G., Lapola, D. M., and
Quesada, C. A.: Changes in leaf functional traits with leaf age: When do
leaves decrease their photosynthetic capacity in Amazonian trees?, Tree
Physiol., 2021, tpab042, https://doi.org/10.1093/treephys/tpab042, 2021.
Mitchard, E. T. A., Saatchi, S. S., Gerard, F. F., Lewis, S. L., and Meir,
P.: Measuring woody encroachment along a forest-savanna boundary in Central
Africa, Earth Interact., 13, 1–29, https://doi.org/10.1175/2009EI278.1, 2009a.
Mitchard, E. T. A., Saatchi, S. S., Woodhouse, I. H., Nangendo, G., Ribeiro,
N. S., Williams, M., Ryan, C. M., Lewis, S. L., Feldpausch, T. R., and Meir,
P.: Using satellite radar backscatter to predict above-ground woody biomass:
A consistent relationship across four different African landscapes, Geophys.
Res. Lett., 36, 1–6, https://doi.org/10.1029/2009GL040692, 2009b.
Moesinger, L., Dorigo, W., De Jeu, R., Van Der Schalie, R., Scanlon, T.,
Teubner, I., and Forkel, M.: The global long-term microwave Vegetation
Optical Depth Climate Archive (VODCA), Earth Syst. Sci. Data, 12,
177–196, https://doi.org/10.5194/essd-12-177-2020, 2020.
Momen, M., Wood, J. D., Novick, K. A., Pangle, R., Pockman, W. T., McDowell,
N. G., and Konings, A. G.: Interacting Effects of Leaf Water Potential and
Biomass on Vegetation Optical Depth, J. Geophys. Res.-Biogeo.,
122, 3031–3046, https://doi.org/10.1002/2017JG004145, 2017.
Morton, D. C., Nagol, J., Carabajal, C. C., Rosette, J., Palace, M., Cook,
B. D., Vermote, E. F., Harding, D. J., and North, P. R. J.: Amazon forests
maintain consistent canopy structure and greenness during the dry season,
Nature, 506, 221–224, https://doi.org/10.1038/nature13006, 2014.
Muller, B., Pantin, F., Génard, M., Turc, O., Freixes, S., Piques, M.,
and Gibon, Y.: Water deficits uncouple growth from photosynthesis, increase
C content, and modify the relationships between C and growth in sink organs,
J. Exp. Bot., 62, 1715–1729, https://doi.org/10.1093/jxb/erq438, 2011.
Nardi, F., Annis, A., Baldassarre, G. Di, Vivoni, E. R., and Grimaldi, S.:
GFPLAIN250m, a global high-resolution dataset of earth's floodplains, Sci.
Data, 6, 1–6, https://doi.org/10.1038/sdata.2018.309, 2019.
Nepstad, D. C., de Carvalho, C. R., Davidson, E. A., Jipp, P. H., Lefebvre,
P. A., Negreiros, G. H., da Silva, E. D., Stone, T. A., Trumbore, S. E., and
Vieira, S.: The role of deep roots in the hydrological and carbon cycles of
Amazonian forests and pastures, Nature, 372, 666–669,
https://doi.org/10.1038/372666a0, 1994.
Oliva Carrasco, L., Bucci, S. J., Di Francescantonio, D., Lezcano, O. A.,
Campanello, P. I., Scholz, F. G., Rodriguez, S., Madanes, N., Cristiano, P.
M., Hao, G. Y. G.-Y., Holbrook, N. M., Goldstein, G., Rodríguez, S.,
Madanes, N., Cristiano, P. M., Hao, G. Y. G.-Y., Holbrook, N. M., and
Goldstein, G.: Water storage dynamics in the main stem of subtropical tree
species differing in wood density, growth rate and life history traits, Tree
Physiol., 35, 354–365, https://doi.org/10.1093/treephys/tpu087, 2015.
Oliveira, R. S., Costa, F. R. C., van Baalen, E., de Jonge, A., Bittencourt,
P. R., Almanza, Y., Barros, F. de V., Cordoba, E. C., Fagundes, M. V.,
Garcia, S., Guimaraes, Z. T. M., Hertel, M., Schietti, J., Rodrigues-Souza,
J., and Poorter, L.: Embolism resistance drives the distribution of Amazonian
rainforest tree species along hydro-topographic gradients, New Phytol.,
221, 1457–1465, https://doi.org/10.1111/nph.15463, 2019.
Owe, M., De Jeu, R., and Walker, J.: A methodology for surface soil moisture
and vegetation optical depth retrieval using the microwave polarization
difference index, IEEE Trans. Geosci. Remote Sens., 39, 1643–1654,
https://doi.org/10.1109/36.942542, 2001.
Pan, Y., Birdsey, R. A., Fang, J., Houghton, R., Kauppi, P. E., Kurz, W. A.,
Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., Ciais, P.,
Jackson, R. B., Pacala, S. W., McGuire, A. D., Piao, S., Rautiainen, A.,
Sitch, S., and Hayes, D.: A large and persistent carbon sink in the world's
forests, Science, 333, 988–993, https://doi.org/10.1126/science.1201609,
2011.
Phillips, O. L., Lewis, S. L., Baker, T. R., Chao, K.-J., and Higuchi, N.:
The changing Amazon forest, Philos. T. R. Soc. B, 363,
1819–1827, https://doi.org/10.1098/rstb.2007.0033, 2008.
Phillips, O. L., Aragão, L. E. O. C., Lewis, S. L., Fisher, J. B.,
Lloyd, J., López-González, G., Malhi, Y., Monteagudo, A., Peacock,
J., Quesada, C. A., Van Der Heijden, G., Almeida, S., Amaral, I., Arroyo,
L., Aymard, G., Baker, T. R., Bánki, O., Blanc, L., Bonal, D., Brando,
P., Chave, J., De Oliveira, Á. C. A., Cardozo, N. D., Czimczik, C. I.,
Feldpausch, T. R., Freitas, M. A., Gloor, E., Higuchi, N., Jiménez, E.,
Lloyd, G., Meir, P., Mendoza, C., Morel, A., Neill, D. A., Nepstad, D.,
Patiño, S., Peñuela, M. C., Prieto, A., Ramírez, F., Schwarz,
M., Silva, J., Silveira, M., Thomas, A. S., Steege, H. Ter, Stropp, J.,
Vásquez, R., Zelazowski, P., Dávila, E. A., Andelman, S., Andrade,
A., Chao, K. J., Erwin, T., Di Fiore, A., Honorio, E. C., Keeling, H.,
Killeen, T. J., Laurance, W. F., Cruz, A. P., Pitman, N. C. A., Vargas, P.
N., Ramírez-Angulo, H., Rudas, A., Salamão, R., Silva, N.,
Terborgh, J., and Torres-Lezama, A.: Drought sensitivity of the amazon
rainforest, Science, 323, 1344–1347,
https://doi.org/10.1126/science.1164033, 2009.
Phillips, O. L., Brienen, R. J. W., and the RAINFOR collaboration: Carbon
uptake by mature Amazon forests has mitigated Amazon nations' carbon
emissions, Carbon Balance Manag., 12, 1–9,
https://doi.org/10.1186/s13021-016-0069-2, 2017.
Poorter, L.: The relationships of wood-, gas- and water fractions of tree
stems to performance and life history variation in tropical trees, Ann.
Bot., 102, 367–375, https://doi.org/10.1093/aob/mcn103, 2008.
Quesada, C. A., Phillips, O. L., Schwarz, M., Czimczik, C. I., Baker, T. R., Patiño, S., Fyllas, N. M., Hodnett, M. G., Herrera, R., Almeida, S., Alvarez Dávila, E., Arneth, A., Arroyo, L., Chao, K. J., Dezzeo, N., Erwin, T., di Fiore, A., Higuchi, N., Honorio Coronado, E., Jimenez, E. M., Killeen, T., Lezama, A. T., Lloyd, G., López-González, G., Luizão, F. J., Malhi, Y., Monteagudo, A., Neill, D. A., Núñez Vargas, P., Paiva, R., Peacock, J., Peñuela, M. C., Peña Cruz, A., Pitman, N., Priante Filho, N., Prieto, A., Ramírez, H., Rudas, A., Salomão, R., Santos, A. J. B., Schmerler, J., Silva, N., Silveira, M., Vásquez, R., Vieira, I., Terborgh, J., and Lloyd, J.: Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate, Biogeosciences, 9, 2203–2246, https://doi.org/10.5194/bg-9-2203-2012, 2012.
Rammig, A., Jupp, T., Thonicke, K., Tietjen, B., Heinke, J., Ostberg, S.,
Lucht, W., Cramer, W., and Cox, P.: Estimating the risk of Amazonian forest
dieback, New Phytol., 187, 694–706,
https://doi.org/10.1111/j.1469-8137.2010.03318.x, 2010.
Reich, P. B. and Borchert, R.: Phenology and ecophysiology of the tropical
tree Tabebuia neochrysantha (Bignoniaceae) (Guanacaste, Costa Rica),
Ecology, 63, 294–299, https://doi.org/10.2307/1938945, 1982.
Reich, P. B. and Borchert, R.: Changes with Leaf Age in Stomatal Function
and Water Status of Several Tropical Tree Species, Biotropica, 20, 60–69,
https://doi.org/10.2307/2388427, 1988.
Restrepo-Coupe, N., da Rocha, H. R., Hutyra, L. R., da Araujo, A. C., Borma,
L. S., Christoffersen, B., Cabral, O. M. R., de Camargo, P. B., Cardoso, F.
L., da Costa, A. C. L., Fitzjarrald, D. R., Goulden, M. L., Kruijt, B.,
Maia, J. M. F., Malhi, Y. S., Manzi, A. O., Miller, S. D., Nobre, A. D., von
Randow, C., Sá, L. D. A., Sakai, R. K., Tota, J., Wofsy, S. C., Zanchi,
F. B., and Saleska, S. R.: What drives the seasonality of photosynthesis
across the Amazon basin? A cross-site analysis of eddy flux tower
measurements from the Brasil flux network, Agr. Forest Meteorol., 182/183,
128–144, https://doi.org/10.1016/j.agrformet.2013.04.031, 2013.
Rice, A. H., Hammond, E. P., Saleska, S. R., Hutyra, L. R., Palace, M. W.,
Keller, M. M., de Camargo, P. B., Portilho, K., Marques, D., and Wofsy, S.
C.: LBA-ECO CD-10 Forest Litter Data for km 67 Tower Site, Tapajos National
Forest, ORNL Distrib. Act. Arch. Cent., https://doi.org/10.3334/ORNLDAAC/862, 2008.
Rifai, S. W., Girardin, C. A. J., Berenguer, E., Del Aguila-Pasquel, J.,
Dahlsjö, C. A. L., Doughty, C. E., Jeffery, K. J., Moore, S., Oliveras,
I., Riutta, T., Rowland, L. M., Murakami, A. A., Addo-Danso, S. D., Brando,
P., Burton, C., Ondo, F. E., Duah-Gyamfi, A., Amézquita, F. F., Freitag,
R., Pacha, F. H., Huasco, W. H., Ibrahim, F., Mbou, A. T., Mihindou, V. M.,
Peixoto, K. S., Rocha, W., Rossi, L. C., Seixas, M., Silva-Espejo, J. E.,
Abernethy, K. A., Adu-Bredu, S., Barlow, J., da Costa, A. C. L., Marimon, B.
S., Marimon-Junior, B. H., Meir, P., Metcalfe, D. B., Phillips, O. L.,
White, L. J. T., and Malhi, Y.: ENSO Drives interannual variation of forest
woody growth across the tropics, Philos. T. R. Soc. Lond. B, 373, 20170410, https://doi.org/10.1098/rstb.2017.0410, 2018.
Roberts, D. A., Nelson, B. W., Adams, J. B., and Palmer, F.: Spectral changes
with leaf aging in Amazon caatinga, Trees – Struct. Funct., 12, 315–325,
https://doi.org/10.1007/s004680050157, 1998.
Roberts, J., Cabral, O. M. R., and Aguiar, L. F. De: Stomatal and
Boundary-Layer Conductances in an Amazonian terra Firme Rain Forest, Br.
Ecol. Soc., 27, 336–353, https://doi.org/10.2307/2403590, 1990.
Rohatgi, A.: WebPlotDigitizer, available at:
https://automeris.io/WebPlotDigitizer (last access: 19 May 2021), 2018.
Saatchi, S., Asefi-Najafabady, S., Malhi, Y., Aragao, L. E. O. C., Anderson,
L. O., Myneni, R. B., and Nemani, R.: Persistent effects of a severe drought
on Amazonian forest canopy, P. Natl. Acad. Sci., 110, 565–570,
https://doi.org/10.1073/pnas.1204651110, 2013.
Saleska, S. R., Didan, K., Huete, A. R., and da Rocha, H. R.: Amazon Forests
Green-Up During 2005 Drought, Science, 318, 612 pp.,
https://doi.org/10.1126/science.1146663, 2007.
Samanta, A., Ganguly, S., Hashimoto, H., Devadiga, S., Vermote, E.,
Knyazikhin, Y., Nemani, R. R., and Myneni, R. B.: Amazon forests did not
green-up during the 2005 drought, Geophys. Res. Lett., 37, 5,
https://doi.org/10.1029/2009GL042154, 2010.
Sanches, L., Valentini, C. M. A., Pinto Júnior, O. B., Nogueira, J. de
S., Vourlitis, G. L., Biudes, M. S., da Silva, C. J., Bambi, P., and Lobo, F.
de A.: Seasonal and interannual litter dynamics of a tropical semideciduous
forest of the southern Amazon Basin, Brazil, J. Geophys. Res.-Biogeo., 113, G04007, https://doi.org/10.1029/2007JG000593, 2008.
Santoro, M. and Cartus, O.: Dataset Record: ESA Biomass Climate Change
Initiative (Biomass_cci): Global datasets of forest
above-ground biomass for the year 2017, v1., available at: https://catalogue.ceda.ac.uk/uuid/bedc59f37c9545c981a839eb552e4084 (last access: 5 June 2020), 2019.
Santos, V. A. H. F. dos, Ferreira, M. J., Rodrigues, J. V. F. C., Garcia, M.
N., Ceron, J. V. B., Nelson, B. W., and Saleska, S. R.: Causes of reduced
leaf-level photosynthesis during strong El Niño drought in a Central
Amazon forest, Glob. Change Biol., 24, 4266–4279, https://doi.org/10.1111/gcb.14293,
2018.
Schessl, M., Da Silva, W. L., and Gottsberger, G.: Effects of fragmentation
on forest structure and litter dynamics in Atlantic rainforest in
Pernambuco, Brazil, Flora Morphol. Distrib. Funct. Ecol. Plants, 203,
215–228, https://doi.org/10.1016/j.flora.2007.03.004, 2008.
Selva, E. C., Couto, E. G., Johnson, M. S., and Lehmann, J.: Litterfall
production and fluvial export in headwater catchments of the southern
Amazon, J. Trop. Ecol., 23, 329–335, https://doi.org/10.1017/S0266467406003956,
2007.
Sizer, N. C., Tanner, E. V. J., and Kossmann Ferraz, I. D.: Edge effects on
litterfall mass and nutrient concentrations in forest fragments in central
Amazonia, J. Trop. Ecol., 16, 853–863, https://doi.org/10.1017/S0266467400001760,
2000.
Sombroek, W.: Spatial and Temporal Patterns of Amazon Rainfall, AMBIO A J.
Hum. Environ., 30, 388–396, https://doi.org/10.1579/0044-7447-30.7.388, 2001.
Soong, J. L., Janssens, I. A., Grau, O., Margalef, O., Stahl, C., Van
Langenhove, L., Urbina, I., Chave, J., Dourdain, A., Ferry, B., Freycon, V.,
Herault, B., Sardans, J., Peñuelas, J., and Verbruggen, E.: Soil
properties explain tree growth and mortality, but not biomass, across
phosphorus-depleted tropical forests, Sci. Rep., 10, 1–13,
https://doi.org/10.1038/s41598-020-58913-8, 2020.
Stahl, C., Burban, B., Bompy, F., Jolin, Z. B., Sermage, J., and Bonal, D.:
Seasonal variation in atmospheric relative humidity contributes to
explaining seasonal variation in trunk circumference of tropical rain-forest
trees in French Guiana, J. Trop. Ecol., 26, 393–405,
https://doi.org/10.1017/S0266467410000155, 2010.
Stahl, C., Burban, B., Wagner, F., Goret, J.-Y., Bompy, F., and Bonal, D.:
Influence of Seasonal Variations in Soil Water Availability on Gas Exchange
of Tropical Canopy Trees, Biotropica, 45, 155–164,
https://doi.org/10.1111/j.1744-7429.2012.00902.x, 2013.
Tadono, T., Ishida, H., Oda, F., Naito, S., Minakawa, K., and Iwamoto, H.:
Precise Global DEM Generation by ALOS PRISM, ISPRS Ann. Photogramm. Remote
Sens. Spat. Inf. Sci., 4, 71–76,
https://doi.org/10.5194/isprsannals-ii-4-71-2014, 2014.
Thomas, R. S.: Forest Productivity and Resource Availability in Lowland
Tropical Forests of Guyana by Thesis submitted for the degree of Doctor of
Philosophy of the University of London and for the Diploma of Imperial
College, 1999.
van Emmerik, T., Steele-Dunne, S. C., Paget, A., Oliveira, R. S. de,
Bittencourt, P. R. L. L., Barros, F. de V., and van de Giesen, N.: Water stress detection in the Amazon using
radar, Geophys. Res. Lett., 44, 6841–6849, https://doi.org/10.1002/2017GL073747,
2017.
van Marle, M. J. E., van der Werf, G. R., de Jeu, R. A. M., and Liu, Y. Y.: Annual South American forest loss estimates based on passive microwave remote sensing (1990–2010), Biogeosciences, 13, 609–624, https://doi.org/10.5194/bg-13-609-2016, 2016.
van Schaik, E., Kooreman, M. L., Stammes, P., Tilstra, L. G., Tuinder, O. N. E., Sanders, A. F. J., Verstraeten, W. W., Lang, R., Cacciari, A., Joiner, J., Peters, W., and Boersma, K. F.: Improved SIFTER v2 algorithm for long-term GOME-2A satellite retrievals of fluorescence with a correction for instrument degradation, Atmos. Meas. Tech., 13, 4295–4315, https://doi.org/10.5194/amt-13-4295-2020, 2020.
Vasconcelos, S. S., Zarin, D. J., Araújo, M. M., and Miranda, I. de S.:
Aboveground net primary productivity in tropical forest regrowth increases
following wetter dry-seasons, Forest Ecol. Manag., 276, 82–87,
https://doi.org/10.1016/j.foreco.2012.03.034, 2012.
Veneklaas, E. J.: Litterfall and Nutrient Fluxes in Two Montane Tropical
Rain Forests, Colombia, J. Trop. Ecol., 7, 319–336, 1991.
Wagner, F., Rossi, V., Stahl, C., Bonal, D., and Hérault, B.:
Asynchronism in leaf and wood production in tropical forests: A study
combining satellite and ground-based measurements, Biogeosciences, 10,
7307–7321, https://doi.org/10.5194/bg-10-7307-2013, 2013.
Whigham, D. F., Olmsted, I., Cano, E. C., and Harmon, M. E.: The Impact of
Hurricane Gilbert on Trees, Litterfall, and Woody Debris in a Dry Tropical
Forest in the Northeastern Yucatan Peninsula, Biotropica, 23, 434–441,
1991.
Wieder, K. R. and Wright, S. J.: Tropical Forest Litter Dinamic and dry
Irrigation on Barro Colorado Island, Panama, Ecology, 76, 1971–1979,
2001.
Wolfe, B. T., Sperry, J. S., and Kursar, T. A.: Does leaf shedding protect
stems from cavitation during seasonal droughts? A test of the hydraulic fuse
hypothesis, New Phytol., 212, 1007–1018, https://doi.org/10.1111/nph.14087, 2016.
Wolter, K. and Timlin, M. S.: El Niño/Southern Oscillation behaviour
since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext),
Int. J. Climatol., 31, 1074–1087, https://doi.org/10.1002/joc.2336, 2011.
Worbes, M.: Annual growth rings, rainfall-dependent growth and long-term
growth patterns of tropical trees from the Caparo Forest Reserve in
Venezuela, J. Ecol., 87, 391–403, https://doi.org/10.1046/j.1365-2745.1999.00361.x,
1999.
Xu, L., Samanta, A., Costa, M. H., Ganguly, S., Nemani, R. R., and Myneni, R.
B.: Widespread decline in greenness of Amazonian vegetation due to the 2010
drought, Geophys. Res. Lett., 38, 2–5, https://doi.org/10.1029/2011GL046824, 2011.
Yang, J., Tian, H., Pan, S., Chen, G., Zhang, B., and Dangal, S.: Amazon
drought and forest response: Largely reduced forest photosynthesis but
slightly increased canopy greenness during the extreme drought of 2015/2016,
Glob. Change Biol., 24, 1919–1934, https://doi.org/10.1111/gcb.14056, 2018.
Zhu, Z., Bi, J., Pan, Y., Ganguly, S., Anav, A., Xu, L., Samanta, A., Piao,
S., Nemani, R. R., and Myneni, R. B.: Global data sets of vegetation leaf
area index (LAI)3g and fraction of photosynthetically active radiation
(FPAR)3g derived from global inventory modeling and mapping studies (GIMMS)
normalized difference vegetation index (NDVI3G) for the period 1981 to 2,
Remote Sens., 5, 927–948, https://doi.org/10.3390/rs5020927, 2013.
Short summary
Satellite images show that the Amazon forest has greened up during past droughts. Measurements of tree stem growth and leaf litterfall upscaled using machine-learning algorithms show that leaf flushing at the onset of a drought results in canopy rejuvenation and green-up during drought while simultaneously trees excessively shed older leaves and tree stem growth declines. Canopy green-up during drought therefore does not necessarily point to enhanced tree growth and improved forest health.
Satellite images show that the Amazon forest has greened up during past droughts. Measurements...
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