Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon

Detalhes bibliográficos
Autor(a) principal: Vaz,Úrsula Lopes
Data de Publicação: 2016
Outros Autores: Nabout,João Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Botanica Brasilica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200290
Resumo: ABSTRACT We assess the impact of climate change on the geographic distribution and productivity of Euterpe oleracea (Arecaceae), commonly called açaí. To construct the ecological niche model of E. oleracea, we used 95 points of occurrence, five bioclimatic variables in current and future climate scenarios and Maxent software. The Akaike Information Criteria (AIC) was used to rank the ability of the models (considering ecological, socioeconomic and spatial variables) to explain the variation in productivity of E. oleracea among 200 municipalities. The maps showed that regions with higher environmental suitability for E. oleracea were concentrated in northern and northeastern Brazil, which was similar to the spatial pattern of productivity data of E. oleracea. Future climate conditions tend to promote an increase in the geographical distribution of this species, even though the new regions are in the arch of Amazon deforestation. Only space and the environmental suitability (indicated by the ecological niche model) were important for explaining the productivity of E. oleracea. That is, municipalities that are more productive are located in more suitable environmental regions. Therefore, it is important to use niche models to explain demographic changes and to estimate species demographic attributes.
id SBB-1_2aad1b18856f314ce1e45abff0dc9db4
oai_identifier_str oai:scielo:S0102-33062016000200290
network_acronym_str SBB-1
network_name_str Acta Botanica Brasilica
repository_id_str
spelling Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazonaçaíenvironmental suitabilityMaxentpalmsustainable harvestingABSTRACT We assess the impact of climate change on the geographic distribution and productivity of Euterpe oleracea (Arecaceae), commonly called açaí. To construct the ecological niche model of E. oleracea, we used 95 points of occurrence, five bioclimatic variables in current and future climate scenarios and Maxent software. The Akaike Information Criteria (AIC) was used to rank the ability of the models (considering ecological, socioeconomic and spatial variables) to explain the variation in productivity of E. oleracea among 200 municipalities. The maps showed that regions with higher environmental suitability for E. oleracea were concentrated in northern and northeastern Brazil, which was similar to the spatial pattern of productivity data of E. oleracea. Future climate conditions tend to promote an increase in the geographical distribution of this species, even though the new regions are in the arch of Amazon deforestation. Only space and the environmental suitability (indicated by the ecological niche model) were important for explaining the productivity of E. oleracea. That is, municipalities that are more productive are located in more suitable environmental regions. Therefore, it is important to use niche models to explain demographic changes and to estimate species demographic attributes.Sociedade Botânica do Brasil2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200290Acta Botanica Brasilica v.30 n.2 2016reponame:Acta Botanica Brasilicainstname:Sociedade Botânica do Brasil (SBB)instacron:SBB10.1590/0102-33062016abb0036info:eu-repo/semantics/openAccessVaz,Úrsula LopesNabout,João Carloseng2016-05-20T00:00:00Zoai:scielo:S0102-33062016000200290Revistahttps://www.scielo.br/j/abb/ONGhttps://old.scielo.br/oai/scielo-oai.phpacta@botanica.org.br||acta@botanica.org.br|| f.a.r.santos@gmail.com1677-941X0102-3306opendoar:2016-05-20T00:00Acta Botanica Brasilica - Sociedade Botânica do Brasil (SBB)false
dc.title.none.fl_str_mv Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
title Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
spellingShingle Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
Vaz,Úrsula Lopes
açaí
environmental suitability
Maxent
palm
sustainable harvesting
title_short Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
title_full Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
title_fullStr Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
title_full_unstemmed Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
title_sort Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon
author Vaz,Úrsula Lopes
author_facet Vaz,Úrsula Lopes
Nabout,João Carlos
author_role author
author2 Nabout,João Carlos
author2_role author
dc.contributor.author.fl_str_mv Vaz,Úrsula Lopes
Nabout,João Carlos
dc.subject.por.fl_str_mv açaí
environmental suitability
Maxent
palm
sustainable harvesting
topic açaí
environmental suitability
Maxent
palm
sustainable harvesting
description ABSTRACT We assess the impact of climate change on the geographic distribution and productivity of Euterpe oleracea (Arecaceae), commonly called açaí. To construct the ecological niche model of E. oleracea, we used 95 points of occurrence, five bioclimatic variables in current and future climate scenarios and Maxent software. The Akaike Information Criteria (AIC) was used to rank the ability of the models (considering ecological, socioeconomic and spatial variables) to explain the variation in productivity of E. oleracea among 200 municipalities. The maps showed that regions with higher environmental suitability for E. oleracea were concentrated in northern and northeastern Brazil, which was similar to the spatial pattern of productivity data of E. oleracea. Future climate conditions tend to promote an increase in the geographical distribution of this species, even though the new regions are in the arch of Amazon deforestation. Only space and the environmental suitability (indicated by the ecological niche model) were important for explaining the productivity of E. oleracea. That is, municipalities that are more productive are located in more suitable environmental regions. Therefore, it is important to use niche models to explain demographic changes and to estimate species demographic attributes.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200290
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200290
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-33062016abb0036
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Botânica do Brasil
publisher.none.fl_str_mv Sociedade Botânica do Brasil
dc.source.none.fl_str_mv Acta Botanica Brasilica v.30 n.2 2016
reponame:Acta Botanica Brasilica
instname:Sociedade Botânica do Brasil (SBB)
instacron:SBB
instname_str Sociedade Botânica do Brasil (SBB)
instacron_str SBB
institution SBB
reponame_str Acta Botanica Brasilica
collection Acta Botanica Brasilica
repository.name.fl_str_mv Acta Botanica Brasilica - Sociedade Botânica do Brasil (SBB)
repository.mail.fl_str_mv acta@botanica.org.br||acta@botanica.org.br|| f.a.r.santos@gmail.com
_version_ 1752126661714771968