Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon

Detalhes bibliográficos
Autor(a) principal: Marques, Maria José
Data de Publicação: 2024
Outros Autores: Bezerra, Caroline de Souza, Tomaz, Jennifer Souza, Lopes, Ricardo, Wrege, Marcos Silveira, Aguiar, Ananda Virginia de, Ramos, Santiago Linorio Ferreyra, Meneses, Carlos Henrique Salvino Gadêlha, Fraxe, Therezinha de Jesus Pinto, Lopes, Maria Teresa Gomes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/78108
Resumo: Euterpe precatoria Mart. (açaí-do-amazonas) and Euterpe oleracea Mart. (açaí-do-pará) are palm trees of socioeconomic importance to Brazil, and fruit demand has increased due to its nutritional characteristics. This study aimed to evaluate the effect of global climate change on the current geographic distribution of E. precatoria and E. oleracea and in future climate scenarios using the ecological niche modeling in the scope of Brazilian territories. The modelings used 28 environmental variables, including climatic and edaphic data. The current distribution was verified for the reference period (2009-2019) and future projections were evaluated in two scenarios (Shared Socioeconomic Pathways - SSP): SSP 245 (less pessimistic) and SSP 585 (more pessimistic), in the time interval of 2061-2080. All algorithms presented satisfactory evaluation indexes. Euterpe precatoria has a predominant geographic distribution in the Amazon domain, while E. oleracea has potential occurrence in three Brazilian phytogeographic domains: Amazon, Cerrado and Atlantic Forest. Euterpe oleracea showed to be more sensitive to climate change in both scenarios, while E. precatoria was more resilient up to a certain level of temperature increase (SSP 245). KEYWORDS: Euterpe ssp., climate change, species distribution modeling.
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spelling Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the AmazonPredição de distribuição geográfica e modelagem de nicho ecológico de açaizeiros na AmazôniaEuterpe precatoria Mart. (açaí-do-amazonas) and Euterpe oleracea Mart. (açaí-do-pará) are palm trees of socioeconomic importance to Brazil, and fruit demand has increased due to its nutritional characteristics. This study aimed to evaluate the effect of global climate change on the current geographic distribution of E. precatoria and E. oleracea and in future climate scenarios using the ecological niche modeling in the scope of Brazilian territories. The modelings used 28 environmental variables, including climatic and edaphic data. The current distribution was verified for the reference period (2009-2019) and future projections were evaluated in two scenarios (Shared Socioeconomic Pathways - SSP): SSP 245 (less pessimistic) and SSP 585 (more pessimistic), in the time interval of 2061-2080. All algorithms presented satisfactory evaluation indexes. Euterpe precatoria has a predominant geographic distribution in the Amazon domain, while E. oleracea has potential occurrence in three Brazilian phytogeographic domains: Amazon, Cerrado and Atlantic Forest. Euterpe oleracea showed to be more sensitive to climate change in both scenarios, while E. precatoria was more resilient up to a certain level of temperature increase (SSP 245). KEYWORDS: Euterpe ssp., climate change, species distribution modeling.Euterpe precatoria Mart. (açaí-do-amazonas) e Euterpe oleracea Mart. (açaí-do-pará) são palmeiras de importância socioeconômica para o Brasil, e a demanda por frutos vem aumentando devido às suas características nutricionais. Objetivou-se avaliar o efeito das mudanças climáticas globais na distribuição geográfica atual de E. precatoria e E. oleracea e em cenários climáticos futuros, por meio de modelagem de nicho ecológico, nos âmbitos dos territórios brasileiros. As modelagens foram realizadas utilizando-se 28 variáveis ambientais, incluindo dados climáticos e edáficos. A distribuição atual foi verificada para o período de referência (2009-2019) e as projeções futuras em dois cenários (Shared Socioeconomic Pathways - SSP): SSP 245 (menos pessimista) e SSP 585 (mais pessimista), no intervalo de tempo 2061-2080. Todos os algoritmos apresentaram índices de avaliação satisfatórios. Euterpe precatoria possui distribuição geográfica predominante no domínio Amazônia, enquanto E. oleracea possui ocorrência potencial em três domínios fitogeográficos brasileiros: Amazônia, Cerrado e Mata Atlântica. Euterpe oleracea se mostrou mais sensível às alterações climáticas nos dois cenários, enquanto E. precatoria foi mais resiliente até certo nível de aumento de temperatura (SSP 245). PALAVRAS-CHAVE: Euterpe spp., mudanças climáticas, modelagem de distribuição de espécies.Escola de Agronomia - Universidade Federal de Goiás2024-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/78108Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 54 (2024); e78108Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 54 (2024); e78108Pesquisa Agropecuária Tropical; v. 54 (2024); e781081983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/78108/40942Copyright (c) 2024 Pesquisa Agropecuária Tropicalinfo:eu-repo/semantics/openAccessMarques, Maria JoséBezerra, Caroline de SouzaTomaz, Jennifer SouzaLopes, RicardoWrege, Marcos SilveiraAguiar, Ananda Virginia deRamos, Santiago Linorio FerreyraMeneses, Carlos Henrique Salvino GadêlhaFraxe, Therezinha de Jesus PintoLopes, Maria Teresa Gomes2024-04-19T19:33:07Zoai:ojs.revistas.ufg.br:article/78108Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:40.983332Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
Predição de distribuição geográfica e modelagem de nicho ecológico de açaizeiros na Amazônia
title Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
spellingShingle Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
Marques, Maria José
title_short Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
title_full Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
title_fullStr Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
title_full_unstemmed Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
title_sort Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
author Marques, Maria José
author_facet Marques, Maria José
Bezerra, Caroline de Souza
Tomaz, Jennifer Souza
Lopes, Ricardo
Wrege, Marcos Silveira
Aguiar, Ananda Virginia de
Ramos, Santiago Linorio Ferreyra
Meneses, Carlos Henrique Salvino Gadêlha
Fraxe, Therezinha de Jesus Pinto
Lopes, Maria Teresa Gomes
author_role author
author2 Bezerra, Caroline de Souza
Tomaz, Jennifer Souza
Lopes, Ricardo
Wrege, Marcos Silveira
Aguiar, Ananda Virginia de
Ramos, Santiago Linorio Ferreyra
Meneses, Carlos Henrique Salvino Gadêlha
Fraxe, Therezinha de Jesus Pinto
Lopes, Maria Teresa Gomes
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Marques, Maria José
Bezerra, Caroline de Souza
Tomaz, Jennifer Souza
Lopes, Ricardo
Wrege, Marcos Silveira
Aguiar, Ananda Virginia de
Ramos, Santiago Linorio Ferreyra
Meneses, Carlos Henrique Salvino Gadêlha
Fraxe, Therezinha de Jesus Pinto
Lopes, Maria Teresa Gomes
description Euterpe precatoria Mart. (açaí-do-amazonas) and Euterpe oleracea Mart. (açaí-do-pará) are palm trees of socioeconomic importance to Brazil, and fruit demand has increased due to its nutritional characteristics. This study aimed to evaluate the effect of global climate change on the current geographic distribution of E. precatoria and E. oleracea and in future climate scenarios using the ecological niche modeling in the scope of Brazilian territories. The modelings used 28 environmental variables, including climatic and edaphic data. The current distribution was verified for the reference period (2009-2019) and future projections were evaluated in two scenarios (Shared Socioeconomic Pathways - SSP): SSP 245 (less pessimistic) and SSP 585 (more pessimistic), in the time interval of 2061-2080. All algorithms presented satisfactory evaluation indexes. Euterpe precatoria has a predominant geographic distribution in the Amazon domain, while E. oleracea has potential occurrence in three Brazilian phytogeographic domains: Amazon, Cerrado and Atlantic Forest. Euterpe oleracea showed to be more sensitive to climate change in both scenarios, while E. precatoria was more resilient up to a certain level of temperature increase (SSP 245). KEYWORDS: Euterpe ssp., climate change, species distribution modeling.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/78108
url https://revistas.ufg.br/pat/article/view/78108
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/78108/40942
dc.rights.driver.fl_str_mv Copyright (c) 2024 Pesquisa Agropecuária Tropical
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Pesquisa Agropecuária Tropical
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 54 (2024); e78108
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 54 (2024); e78108
Pesquisa Agropecuária Tropical; v. 54 (2024); e78108
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
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instname_str Universidade Federal de Goiás (UFG)
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institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
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