Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15515 |
Resumo: | Climate, species composition, and soils are thought to control carbon cycling and forest structure in Amazonian forests. Here, we add a demographics scheme (tree recruitment, growth, and mortality) to a recently developed non-demographic model—the Trait-based Forest Simulator (TFS)—to explore the roles of climate and plant traits in controlling forest productivity and structure. We compared two sites with differing climates (seasonal vs. aseasonal precipitation) and plant traits. Through an initial validation simulation, we assessed whether the model converges on observed forest properties (productivity, demographic and structural variables) using datasets of functional traits, structure, and climate to model the carbon cycle at the two sites. In a second set of simulations, we tested the relative importance of climate and plant traits for forest properties within the TFS framework using the climate from the two sites with hypothetical trait distributions representing two axes of functional variation (“fast” vs. “slow” leaf traits, and high vs. low wood density). The adapted model with demographics reproduced observed variation in gross (GPP) and net (NPP) primary production, and respiration. However, NPP and respiration at the level of plant organs (leaf, stem, and root) were poorly simulated. Mortality and recruitment rates were underestimated. The equilibrium forest structure differed from observations of stem numbers suggesting either that the forests are not currently at equilibrium or that mechanisms are missing from the model. Findings from the second set of simulations demonstrated that differences in productivity were driven by climate, rather than plant traits. Contrary to expectation, varying leaf traits had no influence on GPP. Drivers of simulated forest structure were complex, with a key role for wood density mediated by its link to tree mortality. Modeled mortality and recruitment rates were linked to plant traits alone, drought-related mortality was not accounted for. In future, model development should focus on improving allocation, mortality, organ respiration, simulation of understory trees and adding hydraulic traits. This type of model that incorporates diverse tree strategies, detailed forest structure and realistic physiology is necessary if we are to be able to simulate tropical forest responses to global change scenarios. © 2019 Fauset, Gloor, Fyllas, Phillips, Asner, Baker, Patrick Bentley, Brienen, Christoffersen, del Aguila-Pasquel, Doughty, Feldpausch, Galbraith, Goodman, Girardin, Honorio Coronado, Monteagudo, Salinas, Shenkin, Silva-Espejo, van der Heijden, Vasquez, Alvarez-Davila, Arroyo, Barroso, Brown, Castro, Cornejo Valverde, Davila Cardozo, Di Fiore, Erwin, Huamantupa-Chuquimaco, Núñez Vargas, Neill, Pallqui Camacho, Gutierrez, Peacock, Pitman, Prieto, Restrepo, Rudas, Quesada, Silveira, Stropp, Terborgh, Vieira and Malhi. |
id |
INPA-2_a50cfd5cfa19a28dfedfba39a4ae974d |
---|---|
oai_identifier_str |
oai:repositorio:1/15515 |
network_acronym_str |
INPA-2 |
network_name_str |
Repositório Institucional do INPA |
repository_id_str |
|
spelling |
Fauset, SophieGloor, Manuel U.Fyllas, Nikolaos M.Phillips, Oliver L.Asner, Gregory P.Baker, Timothy R.Patrick Bentley, LisaBrienen, Roel J.W.Christoffersen, Bradley O.Jhon, Del Aguila Pasquel,Doughty, Christopher E.Feldpausch, Ted R.Galbraith, David R.Goodman, Rosa C.Girardin, Cécile A.J.Honorio Coronado, Euridice N.Monteagudo, Abel LorenzoSalinas, NormaShenkin, AlexanderSilva-Espejo, Javier EduardoVan Der Heijden, Geertje M.F.Vásquez, Rodolfo V.Álvarez-Dávila, EstebanArroyo, Luzmila P.Barroso, JorcelyBrown, Foster I.Castro, WendesonCornejo-Valverde, FernandoDávila, NállarettDi Fiore, AnthonyErwin, Terry L.Huamantupa-Chuquimaco, IsauNúñez-Vargas, PercyNeill, David A.Pallqui Camacho, Nadir CarolinaGutierrez, Alexander ParadaPeacock, JuliePitman, Nigel C.A.Prieto, AdrianaRestrepo, ZoraydaRudas, AgustínQuesada, Carlos AlbertoSilveira, MarcosStropp, JulianaTerborgh, John W.Vieira, Simone AparecidaMalhi, Yadvinder Singh2020-05-14T16:32:36Z2020-05-14T16:32:36Z2019https://repositorio.inpa.gov.br/handle/1/1551510.3389/feart.2019.00083Climate, species composition, and soils are thought to control carbon cycling and forest structure in Amazonian forests. Here, we add a demographics scheme (tree recruitment, growth, and mortality) to a recently developed non-demographic model—the Trait-based Forest Simulator (TFS)—to explore the roles of climate and plant traits in controlling forest productivity and structure. We compared two sites with differing climates (seasonal vs. aseasonal precipitation) and plant traits. Through an initial validation simulation, we assessed whether the model converges on observed forest properties (productivity, demographic and structural variables) using datasets of functional traits, structure, and climate to model the carbon cycle at the two sites. In a second set of simulations, we tested the relative importance of climate and plant traits for forest properties within the TFS framework using the climate from the two sites with hypothetical trait distributions representing two axes of functional variation (“fast” vs. “slow” leaf traits, and high vs. low wood density). The adapted model with demographics reproduced observed variation in gross (GPP) and net (NPP) primary production, and respiration. However, NPP and respiration at the level of plant organs (leaf, stem, and root) were poorly simulated. Mortality and recruitment rates were underestimated. The equilibrium forest structure differed from observations of stem numbers suggesting either that the forests are not currently at equilibrium or that mechanisms are missing from the model. Findings from the second set of simulations demonstrated that differences in productivity were driven by climate, rather than plant traits. Contrary to expectation, varying leaf traits had no influence on GPP. Drivers of simulated forest structure were complex, with a key role for wood density mediated by its link to tree mortality. Modeled mortality and recruitment rates were linked to plant traits alone, drought-related mortality was not accounted for. In future, model development should focus on improving allocation, mortality, organ respiration, simulation of understory trees and adding hydraulic traits. This type of model that incorporates diverse tree strategies, detailed forest structure and realistic physiology is necessary if we are to be able to simulate tropical forest responses to global change scenarios. © 2019 Fauset, Gloor, Fyllas, Phillips, Asner, Baker, Patrick Bentley, Brienen, Christoffersen, del Aguila-Pasquel, Doughty, Feldpausch, Galbraith, Goodman, Girardin, Honorio Coronado, Monteagudo, Salinas, Shenkin, Silva-Espejo, van der Heijden, Vasquez, Alvarez-Davila, Arroyo, Barroso, Brown, Castro, Cornejo Valverde, Davila Cardozo, Di Fiore, Erwin, Huamantupa-Chuquimaco, Núñez Vargas, Neill, Pallqui Camacho, Gutierrez, Peacock, Pitman, Prieto, Restrepo, Rudas, Quesada, Silveira, Stropp, Terborgh, Vieira and Malhi.Volume 7Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessIndividual-based modeling of amazon forests suggests that climate controls productivity while traits control demographyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFrontiers in Earth Scienceengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf4127892https://repositorio.inpa.gov.br/bitstream/1/15515/1/artigo-inpa.pdf782e40d961c02dbaf5d1d311eb0a1d25MD511/155152020-07-14 11:08:31.095oai:repositorio:1/15515Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:08:31Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
title |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
spellingShingle |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography Fauset, Sophie |
title_short |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
title_full |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
title_fullStr |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
title_full_unstemmed |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
title_sort |
Individual-based modeling of amazon forests suggests that climate controls productivity while traits control demography |
author |
Fauset, Sophie |
author_facet |
Fauset, Sophie Gloor, Manuel U. Fyllas, Nikolaos M. Phillips, Oliver L. Asner, Gregory P. Baker, Timothy R. Patrick Bentley, Lisa Brienen, Roel J.W. Christoffersen, Bradley O. Jhon, Del Aguila Pasquel, Doughty, Christopher E. Feldpausch, Ted R. Galbraith, David R. Goodman, Rosa C. Girardin, Cécile A.J. Honorio Coronado, Euridice N. Monteagudo, Abel Lorenzo Salinas, Norma Shenkin, Alexander Silva-Espejo, Javier Eduardo Van Der Heijden, Geertje M.F. Vásquez, Rodolfo V. Álvarez-Dávila, Esteban Arroyo, Luzmila P. Barroso, Jorcely Brown, Foster I. Castro, Wendeson Cornejo-Valverde, Fernando Dávila, Nállarett Di Fiore, Anthony Erwin, Terry L. Huamantupa-Chuquimaco, Isau Núñez-Vargas, Percy Neill, David A. Pallqui Camacho, Nadir Carolina Gutierrez, Alexander Parada Peacock, Julie Pitman, Nigel C.A. Prieto, Adriana Restrepo, Zorayda Rudas, Agustín Quesada, Carlos Alberto Silveira, Marcos Stropp, Juliana Terborgh, John W. Vieira, Simone Aparecida Malhi, Yadvinder Singh |
author_role |
author |
author2 |
Gloor, Manuel U. Fyllas, Nikolaos M. Phillips, Oliver L. Asner, Gregory P. Baker, Timothy R. Patrick Bentley, Lisa Brienen, Roel J.W. Christoffersen, Bradley O. Jhon, Del Aguila Pasquel, Doughty, Christopher E. Feldpausch, Ted R. Galbraith, David R. Goodman, Rosa C. Girardin, Cécile A.J. Honorio Coronado, Euridice N. Monteagudo, Abel Lorenzo Salinas, Norma Shenkin, Alexander Silva-Espejo, Javier Eduardo Van Der Heijden, Geertje M.F. Vásquez, Rodolfo V. Álvarez-Dávila, Esteban Arroyo, Luzmila P. Barroso, Jorcely Brown, Foster I. Castro, Wendeson Cornejo-Valverde, Fernando Dávila, Nállarett Di Fiore, Anthony Erwin, Terry L. Huamantupa-Chuquimaco, Isau Núñez-Vargas, Percy Neill, David A. Pallqui Camacho, Nadir Carolina Gutierrez, Alexander Parada Peacock, Julie Pitman, Nigel C.A. Prieto, Adriana Restrepo, Zorayda Rudas, Agustín Quesada, Carlos Alberto Silveira, Marcos Stropp, Juliana Terborgh, John W. Vieira, Simone Aparecida Malhi, Yadvinder Singh |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Fauset, Sophie Gloor, Manuel U. Fyllas, Nikolaos M. Phillips, Oliver L. Asner, Gregory P. Baker, Timothy R. Patrick Bentley, Lisa Brienen, Roel J.W. Christoffersen, Bradley O. Jhon, Del Aguila Pasquel, Doughty, Christopher E. Feldpausch, Ted R. Galbraith, David R. Goodman, Rosa C. Girardin, Cécile A.J. Honorio Coronado, Euridice N. Monteagudo, Abel Lorenzo Salinas, Norma Shenkin, Alexander Silva-Espejo, Javier Eduardo Van Der Heijden, Geertje M.F. Vásquez, Rodolfo V. Álvarez-Dávila, Esteban Arroyo, Luzmila P. Barroso, Jorcely Brown, Foster I. Castro, Wendeson Cornejo-Valverde, Fernando Dávila, Nállarett Di Fiore, Anthony Erwin, Terry L. Huamantupa-Chuquimaco, Isau Núñez-Vargas, Percy Neill, David A. Pallqui Camacho, Nadir Carolina Gutierrez, Alexander Parada Peacock, Julie Pitman, Nigel C.A. Prieto, Adriana Restrepo, Zorayda Rudas, Agustín Quesada, Carlos Alberto Silveira, Marcos Stropp, Juliana Terborgh, John W. Vieira, Simone Aparecida Malhi, Yadvinder Singh |
description |
Climate, species composition, and soils are thought to control carbon cycling and forest structure in Amazonian forests. Here, we add a demographics scheme (tree recruitment, growth, and mortality) to a recently developed non-demographic model—the Trait-based Forest Simulator (TFS)—to explore the roles of climate and plant traits in controlling forest productivity and structure. We compared two sites with differing climates (seasonal vs. aseasonal precipitation) and plant traits. Through an initial validation simulation, we assessed whether the model converges on observed forest properties (productivity, demographic and structural variables) using datasets of functional traits, structure, and climate to model the carbon cycle at the two sites. In a second set of simulations, we tested the relative importance of climate and plant traits for forest properties within the TFS framework using the climate from the two sites with hypothetical trait distributions representing two axes of functional variation (“fast” vs. “slow” leaf traits, and high vs. low wood density). The adapted model with demographics reproduced observed variation in gross (GPP) and net (NPP) primary production, and respiration. However, NPP and respiration at the level of plant organs (leaf, stem, and root) were poorly simulated. Mortality and recruitment rates were underestimated. The equilibrium forest structure differed from observations of stem numbers suggesting either that the forests are not currently at equilibrium or that mechanisms are missing from the model. Findings from the second set of simulations demonstrated that differences in productivity were driven by climate, rather than plant traits. Contrary to expectation, varying leaf traits had no influence on GPP. Drivers of simulated forest structure were complex, with a key role for wood density mediated by its link to tree mortality. Modeled mortality and recruitment rates were linked to plant traits alone, drought-related mortality was not accounted for. In future, model development should focus on improving allocation, mortality, organ respiration, simulation of understory trees and adding hydraulic traits. This type of model that incorporates diverse tree strategies, detailed forest structure and realistic physiology is necessary if we are to be able to simulate tropical forest responses to global change scenarios. © 2019 Fauset, Gloor, Fyllas, Phillips, Asner, Baker, Patrick Bentley, Brienen, Christoffersen, del Aguila-Pasquel, Doughty, Feldpausch, Galbraith, Goodman, Girardin, Honorio Coronado, Monteagudo, Salinas, Shenkin, Silva-Espejo, van der Heijden, Vasquez, Alvarez-Davila, Arroyo, Barroso, Brown, Castro, Cornejo Valverde, Davila Cardozo, Di Fiore, Erwin, Huamantupa-Chuquimaco, Núñez Vargas, Neill, Pallqui Camacho, Gutierrez, Peacock, Pitman, Prieto, Restrepo, Rudas, Quesada, Silveira, Stropp, Terborgh, Vieira and Malhi. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-05-14T16:32:36Z |
dc.date.available.fl_str_mv |
2020-05-14T16:32:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15515 |
dc.identifier.doi.none.fl_str_mv |
10.3389/feart.2019.00083 |
url |
https://repositorio.inpa.gov.br/handle/1/15515 |
identifier_str_mv |
10.3389/feart.2019.00083 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 7 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Frontiers in Earth Science |
publisher.none.fl_str_mv |
Frontiers in Earth Science |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
instname_str |
Instituto Nacional de Pesquisas da Amazônia (INPA) |
instacron_str |
INPA |
institution |
INPA |
reponame_str |
Repositório Institucional do INPA |
collection |
Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/15515/1/artigo-inpa.pdf |
bitstream.checksum.fl_str_mv |
782e40d961c02dbaf5d1d311eb0a1d25 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA) |
repository.mail.fl_str_mv |
|
_version_ |
1809928902295945216 |