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.
Original language | English |
---|---|
Article number | e06125 |
Journal | Ecography |
Volume | 2022 |
Issue number | 11 |
Early online date | 13 Sep 2022 |
DOIs | |
Publication status | Published - Nov 2022 |
Keywords
- Amazon basin
- HAND
- species composition
- tree diversity
- wood density
Access to Document
- 10.1111/ecog.06125Licence: CC BY
- Ecography - 2022 - Marca‐Zevallos - Local hydrological conditions influence tree diversity and composition across theFinal published version, 3.92 MBLicence: CC BY
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Local hydrological conditions influence tree diversity and composition across the Amazon basin. / Marca-Zevallos, Manuel J.; Moulatlet, Gabriel M.; Sousa, Thaiane R. et al.
In: Ecography, Vol. 2022, No. 11, e06125, 11.2022.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Local hydrological conditions influence tree diversity and composition across the Amazon basin
AU - Marca-Zevallos, Manuel J.
AU - Moulatlet, Gabriel M.
AU - Sousa, Thaiane R.
AU - Schietti, Juliana
AU - Coelho, Luiz de Souza
AU - Ramos, José Ferreira
AU - Lima Filho, Diogenes de Andrade
AU - Amaral, Iêda Leão
AU - de Almeida Matos, Francisca Dionízia
AU - Rincón, Lorena M.
AU - Cardenas Revilla, Juan David
AU - Pansonato, Marcelo Petratti
AU - Gribel, Rogério
AU - Barbosa, Edelcilio Marques
AU - Miranda, Ires Paula de Andrade
AU - Bonates, Luiz Carlos de Matos
AU - Guevara, Juan Ernesto
AU - Salomão, Rafael P.
AU - Ferreira, Leandro Valle
AU - Dantas do Amaral, Dário
AU - Pitman, Nigel C.A.
AU - Vriesendorp, Corine
AU - Baker, Tim R.
AU - Brienen, Roel
AU - Carim, Marcelo de Jesus Veiga
AU - Guimarães, José Renan da Silva
AU - Núñez Vargas, Percy
AU - Huamantupa-Chuquimaco, Isau
AU - Laurance, William F.
AU - Laurance, Susan G.W.
AU - Andrade, Ana
AU - Camargo, José Luís
AU - Monteagudo Mendoza, Abel
AU - Vasquez, Rodolfo
AU - Valenzuela Gamarra, Luis
AU - Mogollón, Hugo F.
AU - Marimon-Junior, Ben Hur
AU - Marimon, Beatriz S.
AU - Killeen, Timothy J.
AU - Farias, Emanuelle de Sousa
AU - Neill, David
AU - de Medeiros, Marcelo Brilhante
AU - Simon, Marcelo Fragomeni
AU - Terborgh, John
AU - Carlos Montero, Juan
AU - Licona, Juan Carlos
AU - Mostacedo, Bonifacio
AU - García-Villacorta, Roosevelt
AU - Araujo-Murakami, Alejandro
AU - Arroyo, Luzmila
AU - Villarroel, Daniel
AU - Dávila, Nállarett
AU - Coelho de Souza, Fernanda
AU - Carvalho, Fernanda Antunes
AU - Comiskey, James A.
AU - Alonso, Alfonso
AU - Dallmeier, Francisco
AU - Oliveira, Alexandre A.
AU - Castilho, Carolina V.
AU - Lloyd, Jon
AU - Feldpausch, Ted R.
AU - Ríos Paredes, Marcos
AU - Castaño Arboleda, Nicolás
AU - Cárdenas López, Dairon
AU - Aymard Corredor, Gerardo A.
AU - Di Fiore, Anthony
AU - Rudas, Agustín
AU - Prieto, Adriana
AU - Barbosa, Flávia Rodrigues
AU - Noronha, Janaína Costa
AU - Rodrigues, Domingos de Jesus
AU - Carpanedo, Rainiellen de Sá
AU - Honorio Coronado, Eurídice N.
AU - Peres, Carlos A.
AU - Milliken, William
AU - Fuentes, Alfredo
AU - Tello, J. Sebastián
AU - Cerón, Carlos
AU - Klitgaard, Bente
AU - Tirado, Milton
AU - Sierra, Rodrigo
AU - Young, Kenneth R.
AU - Rivas-Torres, Gonzalo Francisco
AU - Stevenson, Pablo R.
AU - Cano, Angela
AU - Wang, Ophelia
AU - Baider, Cláudia
AU - Barlow, Jos
AU - Ferreira, Joice
AU - Berenguer, Erika
AU - Stropp, Juliana
AU - Balslev, Henrik
AU - Ahuite Reategui, Manuel Augusto
AU - Mesones, Italo
AU - Valderrama Sandoval, Elvis H.
AU - Gonzales, Therany
AU - Pansini, Susamar
AU - Reis, Neidiane Farias Costa
AU - Sampaio, Adeilza Felipe
AU - Vos, Vincent Antoine
AU - Palacios Cuenca, Walter
AU - Manzatto, Angelo Gilberto
AU - Farfan-Rios, William
AU - Silman, Miles R.
AU - Garcia-Cabrera, Karina
AU - von Hildebrand, Patricio
AU - Guedes, Marcelino Carneiro
AU - Costa, Janaina Barbosa Pedrosa
AU - Phillips, Juan Fernando
AU - Vela, César I.A.
AU - de Toledo, José Julio
AU - Pauletto, Daniela
AU - Valverde, Fernando Cornejo
AU - Umaña, Maria Natalia
AU - Phillips, Oliver L.
AU - Magnusson, William E.
AU - ter Steege, Hans
AU - Costa, Flávia R.C.
N1 - Funding Information: This work was part of the MSc thesis of the first author developed at the Graduate Program in Ecology of the National Institute of Amazonian Research (INPA). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Gabriel M. Moulatlet acknowledges the postdoctoral grant from the Project SEP‐CONACYT CB‐2017–2018 (grant no. A1‐S‐34563). We thank all ATDN members and field assistants involved for making a very rich database available. We thank Pedro Pequeno and Thiago Cavalcante for helping in data analysis; Camilo Rennó for support in the handling and interpretation of the HAND data; Bruce Nelson and Davieliton Mesquita for support in the handling and interpretation of climate data and all members of INPA Plant Ecology Laboratory for comments and suggestions.
PY - 2022/11
Y1 - 2022/11
N2 - 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.
AB - 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.
KW - Amazon basin
KW - HAND
KW - species composition
KW - tree diversity
KW - wood density
UR - http://www.scopus.com/inward/record.url?scp=85137865788&partnerID=8YFLogxK
U2 - 10.1111/ecog.06125
DO - 10.1111/ecog.06125
M3 - Article
AN - SCOPUS:85137865788
VL - 2022
JO - Ecography
JF - Ecography
SN - 0906-7590
IS - 11
M1 - e06125
ER -