Response of tree biomass and wood litter to disturbance in a Central Amazon forest
We developed an individual-based stochastic-empirical model to simulate the carbon dynamics of live and dead trees in a Central Amazon forest near Manaus, Brazil. The model is based on analyses of extensive field studies carried out on permanent forest inventory plots, and syntheses of published stu...
| Autor principal: | Chambers, Jeffrey Quintin |
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| Outros Autores: | Higuchi, Niro, Teixeira, Liliane Martins, Santos, Joaquim dos, Laurance, Susan G.W., Trumbore, Susan Elizabeth |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Oecologia
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/18882 |
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oai:repositorio:1-18882 |
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oai:repositorio:1-18882 Response of tree biomass and wood litter to disturbance in a Central Amazon forest Chambers, Jeffrey Quintin Higuchi, Niro Teixeira, Liliane Martins Santos, Joaquim dos Laurance, Susan G.W. Trumbore, Susan Elizabeth Carbon Carbon Dioxide Carbon Cycle Decomposition Growth Rate Litter Logging (timber) Modeling Net Ecosystem Exchange Biological Model Biomass Brasil Comparative Study Environment Forestry Growth, Development And Aging Tree Tropic Climate Wood Biomass Brasil Carbon Carbon Dioxide Environment Forestry Models, Biological Trees Tropical Climate Wood Amazonas Brasil South America Western Hemisphere World We developed an individual-based stochastic-empirical model to simulate the carbon dynamics of live and dead trees in a Central Amazon forest near Manaus, Brazil. The model is based on analyses of extensive field studies carried out on permanent forest inventory plots, and syntheses of published studies. New analyses included: (1) growth suppression of small trees, (2) maximum size (trunk base diameter) for 220 tree species, (3) the relationship between growth rate and wood density, and (4) the growth response of surviving trees to catastrophic mortality (from logging). The model simulates a forest inventory plot, and tracks recruitment, growth, and mortality of live trees, decomposition of dead trees (coarse litter), and how these processes vary with changing environmental conditions. Model predictions were tested against aggregated field data, and also compared with independent measurements including maximum tree age and coarse litter standing stocks. Spatial analyses demonstrated that a plot size of ∼10 ha was required to accurately measure wood (live and dead) carbon balance. With the model accurately predicting relevant pools and fluxes, a number of model experiments were performed to predict forest carbon balance response to perturbations including: (1) increased productivity due to CO 2 fertilization, (2) a single semi-catastrophic (10%) mortality event, (3) increased recruitment and mortality (turnover) rates, and (4) the combined effects of increased turnover, increased tree growth rates, and decreased mean wood density of new recruits. Results demonstrated that carbon accumulation over the past few decades observed on tropical forest inventory plots (∼0.5 Mg C ha-1 year-1) is not likely caused by CO2 fertilization. A maximum 25% increase in woody tissue productivity with a doubling of atmospheric CO2 only resulted in an accumulation rate of 0.05 Mg C ha-1 year-1 for the period 1980-2020 for a Central Amazon forest, or an order of magnitude less than observed on the inventory plots. In contrast, model parameterization based on extensive data from a logging experiment demonstrated a rapid increase in tree growth following disturbance, which could be misinterpreted as carbon sequestration if changes in coarse litter stocks were not considered. Combined results demonstrated that predictions of changes in forest carbon balance during the twenty-first century are highly dependent on assumptions of tree response to various perturbations, and underscores the importance of a close coupling of model and field investigations. © Springer-Verlag 2004. 2020-06-15T22:03:40Z 2020-06-15T22:03:40Z 2004 Artigo https://repositorio.inpa.gov.br/handle/1/18882 10.1007/s00442-004-1676-2 en Volume 141, Número 4, Pags. 596-611 Restrito Oecologia |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Carbon Carbon Dioxide Carbon Cycle Decomposition Growth Rate Litter Logging (timber) Modeling Net Ecosystem Exchange Biological Model Biomass Brasil Comparative Study Environment Forestry Growth, Development And Aging Tree Tropic Climate Wood Biomass Brasil Carbon Carbon Dioxide Environment Forestry Models, Biological Trees Tropical Climate Wood Amazonas Brasil South America Western Hemisphere World |
| spellingShingle |
Carbon Carbon Dioxide Carbon Cycle Decomposition Growth Rate Litter Logging (timber) Modeling Net Ecosystem Exchange Biological Model Biomass Brasil Comparative Study Environment Forestry Growth, Development And Aging Tree Tropic Climate Wood Biomass Brasil Carbon Carbon Dioxide Environment Forestry Models, Biological Trees Tropical Climate Wood Amazonas Brasil South America Western Hemisphere World Chambers, Jeffrey Quintin Response of tree biomass and wood litter to disturbance in a Central Amazon forest |
| topic_facet |
Carbon Carbon Dioxide Carbon Cycle Decomposition Growth Rate Litter Logging (timber) Modeling Net Ecosystem Exchange Biological Model Biomass Brasil Comparative Study Environment Forestry Growth, Development And Aging Tree Tropic Climate Wood Biomass Brasil Carbon Carbon Dioxide Environment Forestry Models, Biological Trees Tropical Climate Wood Amazonas Brasil South America Western Hemisphere World |
| description |
We developed an individual-based stochastic-empirical model to simulate the carbon dynamics of live and dead trees in a Central Amazon forest near Manaus, Brazil. The model is based on analyses of extensive field studies carried out on permanent forest inventory plots, and syntheses of published studies. New analyses included: (1) growth suppression of small trees, (2) maximum size (trunk base diameter) for 220 tree species, (3) the relationship between growth rate and wood density, and (4) the growth response of surviving trees to catastrophic mortality (from logging). The model simulates a forest inventory plot, and tracks recruitment, growth, and mortality of live trees, decomposition of dead trees (coarse litter), and how these processes vary with changing environmental conditions. Model predictions were tested against aggregated field data, and also compared with independent measurements including maximum tree age and coarse litter standing stocks. Spatial analyses demonstrated that a plot size of ∼10 ha was required to accurately measure wood (live and dead) carbon balance. With the model accurately predicting relevant pools and fluxes, a number of model experiments were performed to predict forest carbon balance response to perturbations including: (1) increased productivity due to CO 2 fertilization, (2) a single semi-catastrophic (10%) mortality event, (3) increased recruitment and mortality (turnover) rates, and (4) the combined effects of increased turnover, increased tree growth rates, and decreased mean wood density of new recruits. Results demonstrated that carbon accumulation over the past few decades observed on tropical forest inventory plots (∼0.5 Mg C ha-1 year-1) is not likely caused by CO2 fertilization. A maximum 25% increase in woody tissue productivity with a doubling of atmospheric CO2 only resulted in an accumulation rate of 0.05 Mg C ha-1 year-1 for the period 1980-2020 for a Central Amazon forest, or an order of magnitude less than observed on the inventory plots. In contrast, model parameterization based on extensive data from a logging experiment demonstrated a rapid increase in tree growth following disturbance, which could be misinterpreted as carbon sequestration if changes in coarse litter stocks were not considered. Combined results demonstrated that predictions of changes in forest carbon balance during the twenty-first century are highly dependent on assumptions of tree response to various perturbations, and underscores the importance of a close coupling of model and field investigations. © Springer-Verlag 2004. |
| format |
Artigo |
| author |
Chambers, Jeffrey Quintin |
| author2 |
Higuchi, Niro Teixeira, Liliane Martins Santos, Joaquim dos Laurance, Susan G.W. Trumbore, Susan Elizabeth |
| author2Str |
Higuchi, Niro Teixeira, Liliane Martins Santos, Joaquim dos Laurance, Susan G.W. Trumbore, Susan Elizabeth |
| title |
Response of tree biomass and wood litter to disturbance in a Central Amazon forest |
| title_short |
Response of tree biomass and wood litter to disturbance in a Central Amazon forest |
| title_full |
Response of tree biomass and wood litter to disturbance in a Central Amazon forest |
| title_fullStr |
Response of tree biomass and wood litter to disturbance in a Central Amazon forest |
| title_full_unstemmed |
Response of tree biomass and wood litter to disturbance in a Central Amazon forest |
| title_sort |
response of tree biomass and wood litter to disturbance in a central amazon forest |
| publisher |
Oecologia |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/18882 |
| _version_ |
1787141788231794688 |
| score |
11.755432 |