Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters

Castanho, Andrea Dde Almeida; Coe, Michael T.; Costa, Marcos Heil; Malhi, Yadvinder Singh; Galbraith, David R.; Quesada, Carlos Alberto

Artigo

Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters

Dynamic vegetation models forced with spatially homogeneous biophysical parameters are capable of producing average productivity and biomass values for the Amazon basin forest biome that are close to the observed estimates, but these models are unable to reproduce observed spatial variability. Recen...

ver descrição completa

Autor principal:	Castanho, Andrea Dde Almeida
Outros Autores:	Coe, Michael T., Costa, Marcos Heil, Malhi, Yadvinder Singh, Galbraith, David R., Quesada, Carlos Alberto
Grau:	Artigo
Idioma:	English
Publicado em:	Biogeosciences 2020
Assuntos:	Aboveground Biomass Biome Ecological Modeling Forest Ecosystem Homogeneity Net Primary Production Numerical Model Physicochemical Property Spatial Variation Tropical Forest Amazonia
Acesso em linha:	https://repositorio.inpa.gov.br/handle/1/14897

id	oai:repositorio:1-14897
recordtype	dspace
spelling	oai:repositorio:1-14897 Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters Castanho, Andrea Dde Almeida Coe, Michael T. Costa, Marcos Heil Malhi, Yadvinder Singh Galbraith, David R. Quesada, Carlos Alberto Aboveground Biomass Biome Ecological Modeling Forest Ecosystem Homogeneity Net Primary Production Numerical Model Physicochemical Property Spatial Variation Tropical Forest Amazonia Dynamic vegetation models forced with spatially homogeneous biophysical parameters are capable of producing average productivity and biomass values for the Amazon basin forest biome that are close to the observed estimates, but these models are unable to reproduce observed spatial variability. Recent observational studies have shown substantial regional spatial variability of above-ground productivity and biomass across the Amazon basin, which is believed to be primarily driven by a combination of soil physical and chemical properties. In this study, spatial heterogeneity of vegetation properties is added to the Integrated Biosphere Simulator (IBIS) land surface model, and the simulated productivity and biomass of the Amazon basin are compared to observations from undisturbed forest. The maximum RuBiCo carboxylation capacity (Vcmax) and the woody biomass residence time (τw) were found to be the most important properties determining the modeled spatial variation of above-ground woody net primary productivity and biomass, respectively. Spatial heterogeneity of these properties may lead to simulated spatial variability of 1.8 times in the woody net primary productivity (NPPw) and 2.8 times in the woody above-ground biomass (AGBw). The coefficient of correlation between the modeled and observed woody productivity improved from 0.10 with homogeneous parameters to 0.73 with spatially heterogeneous parameters, while the coefficient of correlation between the simulated and observed woody above-ground biomass improved from 0.33 to 0.88. The results from our analyses with the IBIS dynamic vegetation model demonstrated that using single values for key ecological parameters in the tropical forest biome severely limits simulation accuracy. Clearer understanding of the biophysical mechanisms that drive the spatial variability of carbon allocation, τw and Vcmax is necessary to achieve further improvements to simulation accuracy. © 2013 Author(s). 2020-05-07T13:47:16Z 2020-05-07T13:47:16Z 2013 Artigo https://repositorio.inpa.gov.br/handle/1/14897 10.5194/bg-10-2255-2013 en Volume 10, Número 4, Pags. 2255-2272 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Biogeosciences
institution	Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection	INPA-RI
language	English
topic	Aboveground Biomass Biome Ecological Modeling Forest Ecosystem Homogeneity Net Primary Production Numerical Model Physicochemical Property Spatial Variation Tropical Forest Amazonia
spellingShingle	Aboveground Biomass Biome Ecological Modeling Forest Ecosystem Homogeneity Net Primary Production Numerical Model Physicochemical Property Spatial Variation Tropical Forest Amazonia Castanho, Andrea Dde Almeida Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters
topic_facet	Aboveground Biomass Biome Ecological Modeling Forest Ecosystem Homogeneity Net Primary Production Numerical Model Physicochemical Property Spatial Variation Tropical Forest Amazonia
description	Dynamic vegetation models forced with spatially homogeneous biophysical parameters are capable of producing average productivity and biomass values for the Amazon basin forest biome that are close to the observed estimates, but these models are unable to reproduce observed spatial variability. Recent observational studies have shown substantial regional spatial variability of above-ground productivity and biomass across the Amazon basin, which is believed to be primarily driven by a combination of soil physical and chemical properties. In this study, spatial heterogeneity of vegetation properties is added to the Integrated Biosphere Simulator (IBIS) land surface model, and the simulated productivity and biomass of the Amazon basin are compared to observations from undisturbed forest. The maximum RuBiCo carboxylation capacity (Vcmax) and the woody biomass residence time (τw) were found to be the most important properties determining the modeled spatial variation of above-ground woody net primary productivity and biomass, respectively. Spatial heterogeneity of these properties may lead to simulated spatial variability of 1.8 times in the woody net primary productivity (NPPw) and 2.8 times in the woody above-ground biomass (AGBw). The coefficient of correlation between the modeled and observed woody productivity improved from 0.10 with homogeneous parameters to 0.73 with spatially heterogeneous parameters, while the coefficient of correlation between the simulated and observed woody above-ground biomass improved from 0.33 to 0.88. The results from our analyses with the IBIS dynamic vegetation model demonstrated that using single values for key ecological parameters in the tropical forest biome severely limits simulation accuracy. Clearer understanding of the biophysical mechanisms that drive the spatial variability of carbon allocation, τw and Vcmax is necessary to achieve further improvements to simulation accuracy. © 2013 Author(s).
format	Artigo
author	Castanho, Andrea Dde Almeida
author2	Coe, Michael T. Costa, Marcos Heil Malhi, Yadvinder Singh Galbraith, David R. Quesada, Carlos Alberto
author2Str	Coe, Michael T. Costa, Marcos Heil Malhi, Yadvinder Singh Galbraith, David R. Quesada, Carlos Alberto
title	Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters
title_short	Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters
title_full	Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters
title_fullStr	Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters
title_full_unstemmed	Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters
title_sort	improving simulated amazon forest biomass and productivity by including spatial variation in biophysical parameters
publisher	Biogeosciences
publishDate	2020
url	https://repositorio.inpa.gov.br/handle/1/14897
_version_	1787141914793869312
score	11.755432

Improving simulated Amazon forest biomass and productivity by including spatial variation in biophysical parameters

Registros relacionados