Data/hora: 07/06/2024 08:08:39

Provedor de dados: 	39	
País: 	Brazil	
Título: 	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	
Autores: 	Vaz,Úrsula Lopes; Nabout,João Carlos.	
Data: 	2016-06-01	
Ano: 	2016	
Palavras-chave: 	Açaí; Environmental suitability; Maxent; Palm; Sustainable harvesting.	
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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200290	
Editor: 	Sociedade Botânica do Brasil	
Relação: 	10.1590/0102-33062016abb0036	
Formato: 	text/html	
Fonte: 	Acta Botanica Brasilica  v.30 n.2 2016	
Fonte: 	info:eu-repo/semantics/openAccess