TY - JOUR
T1 - Tree mode of death and mortality risk factors across Amazon forests
AU - Esquivel-Muelbert, Adriane
AU - Phillips, Oliver L.
AU - Brienen, Roel J.W.
AU - Fauset, Sophie
AU - Sullivan, Martin J.P.
AU - Baker, Timothy R.
AU - Chao, Kuo Jung
AU - Feldpausch, Ted R.
AU - Gloor, Emanuel
AU - Higuchi, Niro
AU - Houwing-Duistermaat, Jeanne
AU - Lloyd, Jon
AU - Liu, Haiyan
AU - Malhi, Yadvinder
AU - Marimon, Beatriz
AU - Marimon Junior, Ben Hur
AU - Monteagudo-Mendoza, Abel
AU - Poorter, Lourens
AU - Silveira, Marcos
AU - Torre, Emilio Vilanova
AU - Dávila, Esteban Alvarez
AU - del Aguila Pasquel, Jhon
AU - Almeida, Everton
AU - Loayza, Patricia Alvarez
AU - Andrade, Ana
AU - Aragão, Luiz E.O.C.
AU - Araujo-Murakami, Alejandro
AU - Arets, Eric
AU - Arroyo, Luzmila
AU - Aymard C, Gerardo A.
AU - Baisie, Michel
AU - Baraloto, Christopher
AU - Camargo, Plínio Barbosa
AU - Barroso, Jorcely
AU - Blanc, Lilian
AU - Bonal, Damien
AU - Bongers, Frans
AU - Boot, René
AU - Brown, Foster
AU - Burban, Benoit
AU - Camargo, José Luís
AU - Castro, Wendeson
AU - Moscoso, Victor Chama
AU - Chave, Jerome
AU - Comiskey, James
AU - Valverde, Fernando Cornejo
AU - da Costa, Antonio Lola
AU - Cardozo, Nallaret Davila
AU - Di Fiore, Anthony
AU - Honorio Coronado, Eurídice
N1 - Funding Information: The analysis undertaken here was largely funded by the NERC-funded TREMOR project (NE/N004655/1) to D.G., R.J.W.B., E.G. and O.L.P. A.E.-M. was funded by TREMOR and by two ERC awards (T-FORCES 291585, TreeMort 758873). D.G. acknowledges further support from a Newton-funded consortium award (ARBOLES, NE/S011811/1). O.L.P. was supported by an ERC Advanced Grant and a Royal Society Wolfson Research Merit Award. T.A.M.P. was funded by the ERC award TreeMort 758873. This is paper number 47 of the Birmingham Institute of Forest Research. T.R.F., L.E.O.C.A. and O.L.P. were supported by NERC NE/N011570/1. Support for RAINFOR has come from the Natural Environment Research Council (NERC) Urgency Grants and NERC Consortium Grants AMAZONICA (NE/F005806/ 1), TROBIT (NE/D005590/1) and BIO-RED (NE/N012542/1), a European Research Council (ERC) grant T-FORCES (291585), the Gordon and Betty Moore Foundation (#1656), the European Union’s Seventh Framework Programme (282664, AMAZA-LERT) and the Royal Society (CH160091). This is paper #47 of the Birmingham Institute of Forest Research (BIFoR).
PY - 2020/11/9
Y1 - 2020/11/9
N2 - 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.
AB - 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.
U2 - 10.1038/s41467-020-18996-3
DO - 10.1038/s41467-020-18996-3
M3 - Article
C2 - 33168823
AN - SCOPUS:85095701315
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
M1 - 5515
ER -