PREDICTION OF THE GEOGRAPHIC DISTRIBUTION AND CONSERVATION OF AMAZONIAN PALM TREES Astrocaryum acaule MART. AND Astrocaryum aculeatum MART.

Author:

Cordeiro Adriel Lira1ORCID,Tomaz Jennifer Souza1ORCID,Bezerra Caroline de Souza1ORCID,Meneses Carlos Henrique Salvino Gadêlha2ORCID,Aguiar Ananda Virgínia de3ORCID,Wrege Marcos Silveira3ORCID,Ramos Santiago Linorio Ferreyra1ORCID,Lopes Ricardo4ORCID,Fraxe Therezinha de Jesus Pinto1ORCID,Lopes Maria Teresa Gomes1ORCID

Affiliation:

1. Universidade Federal do Amazonas, Brasil

2. Universidade Estadual da Paraíba, Brasil

3. Embrapa Florestas, Brasil

4. Empresa Brasileira de Pesquisa Agropecuária, Brasil

Abstract

ABSTRACT Astrocaryum aculeatum Mart. Moreover, Astrocaryum acaule Mart. are palm trees with ecological and extractive importance in the Amazon. These are hearty species that have been associated with archaeological sites and thrive in the presence of humans in certain areas. This work aimed to verify the effect of global climate change on the potential geographic distribution of A. acaule and A. aculeatum in the current period and future climate scenarios using ecological niche modeling in Brazilian phytogeographic domains. The modeling was based on 19 bioclimatic variables obtained from the Worldclim website and four algorithms (Climate space model, Envelope Score, Niche Mosaic, and Environmental Distance). Additionally, the Environmental Distance algorithm showed greater similarity regarding species distribution with potential occurrence in the five Brazilian domains (Amazon, Pantanal, Caatinga, Cerrado, and Atlantic Forest). The dispersion patterns were very similar between the two Astrocaryum palms though A. aculeatum was more sensitive to climatic variations. A. acaule may be more resilient to changes, as demonstrated by being able to recolonize in the southern portion of the Amazon in future scenarios in the year 2070. The modeling helped to delimit potential areas for A. aculeatum and A. acaule, indicating the need for the conservation of the species in more sensitive regions.

Publisher

FapUNIFESP (SciELO)

Subject

Forestry

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