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
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Data de Publicação: | 2016 |
Outros Autores: | |
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. |
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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 |