Prediction of geographic distribution and ecological niche modeling of açaí palm trees in the Amazon
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , , , , , |
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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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) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
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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1799874821665849344 |