Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests
Tropical forests contain an important proportion of the carbon stored in terrestrial vegetation, but estimated aboveground biomass (AGB) in tropical forests varies two-fold, with little consensus on the relative importance of climate, soil and forest structure in explaining spatial patterns. Here, w...
| Autor principal: | Baraloto, Christopher |
|---|---|
| Outros Autores: | Rabaud, Suzanne, Molto, Quentin, Blanc, Lilian, Fortunel, Claire, Hérault, Bruno, Dávila, Nállarett, Mesones, Italo, Ríos, Marcos, Valderrama, Elvis, Van Antwerp Fine, Paul |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Global Change Biology
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/18170 |
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oai:repositorio:1-18170 |
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dspace |
| spelling |
oai:repositorio:1-18170 Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests Baraloto, Christopher Rabaud, Suzanne Molto, Quentin Blanc, Lilian Fortunel, Claire Hérault, Bruno Dávila, Nállarett Mesones, Italo Ríos, Marcos Valderrama, Elvis Van Antwerp Fine, Paul Aboveground Biomass Climate Effect Climate Variation Forest Ecosystem Hierarchical System Lowland Environment Numerical Model Remote Sensing Soil Property Spatial Variation Stand Dynamics Terrestrial Environment Tropical Forest Amazon Basin French Guiana Peru Tropical forests contain an important proportion of the carbon stored in terrestrial vegetation, but estimated aboveground biomass (AGB) in tropical forests varies two-fold, with little consensus on the relative importance of climate, soil and forest structure in explaining spatial patterns. Here, we present analyses from a plot network designed to examine differences among contrasting forest habitats (terra firme, seasonally flooded, and white-sand forests) that span the gradient of climate and soil conditions of the Amazon basin. We installed 0.5-ha plots in 74 sites representing the three lowland forest habitats in both Loreto, Peru and French Guiana, and we integrated data describing climate, soil physical and chemical characteristics and stand variables, including local measures of wood specific gravity (WSG). We use a hierarchical model to separate the contributions of stand variables from climate and soil variables in explaining spatial variation in AGB. AGB differed among both habitats and regions, varying from 78Mgha-1 in white-sand forest in Peru to 605Mgha-1 in terra firme clay forest of French Guiana. Stand variables including tree size and basal area, and to a lesser extent WSG, were strong predictors of spatial variation in AGB. In contrast, soil and climate variables explained little overall variation in AGB, though they did co-vary to a limited extent with stand parameters that explained AGB. Our results suggest that positive feedbacks in forest structure and turnover control AGB in Amazonian forests, with richer soils (Peruvian terra firme and all seasonally flooded habitats) supporting smaller trees with lower wood density and moderate soils (French Guianan terra firme) supporting many larger trees with high wood density. The weak direct relationships we observed between soil and climate variables and AGB suggest that the most appropriate approaches to landscape scale modeling of AGB in the Amazon would be based on remote sensing methods to map stand structure. © 2011 Blackwell Publishing Ltd. 2020-06-15T21:52:16Z 2020-06-15T21:52:16Z 2011 Artigo https://repositorio.inpa.gov.br/handle/1/18170 10.1111/j.1365-2486.2011.02432.x en Volume 17, Número 8, Pags. 2677-2688 Restrito Global Change Biology |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Aboveground Biomass Climate Effect Climate Variation Forest Ecosystem Hierarchical System Lowland Environment Numerical Model Remote Sensing Soil Property Spatial Variation Stand Dynamics Terrestrial Environment Tropical Forest Amazon Basin French Guiana Peru |
| spellingShingle |
Aboveground Biomass Climate Effect Climate Variation Forest Ecosystem Hierarchical System Lowland Environment Numerical Model Remote Sensing Soil Property Spatial Variation Stand Dynamics Terrestrial Environment Tropical Forest Amazon Basin French Guiana Peru Baraloto, Christopher Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests |
| topic_facet |
Aboveground Biomass Climate Effect Climate Variation Forest Ecosystem Hierarchical System Lowland Environment Numerical Model Remote Sensing Soil Property Spatial Variation Stand Dynamics Terrestrial Environment Tropical Forest Amazon Basin French Guiana Peru |
| description |
Tropical forests contain an important proportion of the carbon stored in terrestrial vegetation, but estimated aboveground biomass (AGB) in tropical forests varies two-fold, with little consensus on the relative importance of climate, soil and forest structure in explaining spatial patterns. Here, we present analyses from a plot network designed to examine differences among contrasting forest habitats (terra firme, seasonally flooded, and white-sand forests) that span the gradient of climate and soil conditions of the Amazon basin. We installed 0.5-ha plots in 74 sites representing the three lowland forest habitats in both Loreto, Peru and French Guiana, and we integrated data describing climate, soil physical and chemical characteristics and stand variables, including local measures of wood specific gravity (WSG). We use a hierarchical model to separate the contributions of stand variables from climate and soil variables in explaining spatial variation in AGB. AGB differed among both habitats and regions, varying from 78Mgha-1 in white-sand forest in Peru to 605Mgha-1 in terra firme clay forest of French Guiana. Stand variables including tree size and basal area, and to a lesser extent WSG, were strong predictors of spatial variation in AGB. In contrast, soil and climate variables explained little overall variation in AGB, though they did co-vary to a limited extent with stand parameters that explained AGB. Our results suggest that positive feedbacks in forest structure and turnover control AGB in Amazonian forests, with richer soils (Peruvian terra firme and all seasonally flooded habitats) supporting smaller trees with lower wood density and moderate soils (French Guianan terra firme) supporting many larger trees with high wood density. The weak direct relationships we observed between soil and climate variables and AGB suggest that the most appropriate approaches to landscape scale modeling of AGB in the Amazon would be based on remote sensing methods to map stand structure. © 2011 Blackwell Publishing Ltd. |
| format |
Artigo |
| author |
Baraloto, Christopher |
| author2 |
Rabaud, Suzanne Molto, Quentin Blanc, Lilian Fortunel, Claire Hérault, Bruno Dávila, Nállarett Mesones, Italo Ríos, Marcos Valderrama, Elvis Van Antwerp Fine, Paul |
| author2Str |
Rabaud, Suzanne Molto, Quentin Blanc, Lilian Fortunel, Claire Hérault, Bruno Dávila, Nállarett Mesones, Italo Ríos, Marcos Valderrama, Elvis Van Antwerp Fine, Paul |
| title |
Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests |
| title_short |
Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests |
| title_full |
Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests |
| title_fullStr |
Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests |
| title_full_unstemmed |
Disentangling stand and environmental correlates of aboveground biomass in Amazonian forests |
| title_sort |
disentangling stand and environmental correlates of aboveground biomass in amazonian forests |
| publisher |
Global Change Biology |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/18170 |
| _version_ |
1787142432972865536 |
| score |
11.755432 |