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标题：Atributos ecológicos e modelagem de nicho climático de Allagoptera brevicalyx Moraes, espécie ameaada de extino
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作者：Daniel da Paixo Menezes ; Edineide Leite Santos ; Lara Fabian Rodrigues de Jesus 等
期刊名称：Research, Society and Development
电子版ISSN：2525-3409
出版年度：2021
卷号：10
期号：12
页码：1-11
DOI：10.33448/rsd-v10i12.19630
语种：English
出版社：Grupo de Pesquisa Metodologias em Ensino e Aprendizagem em Ciências
摘要：This study aims to evaluate the population structure of Allagoptera brevicalyx Moraes in the Parque Nacional Serra de Itabaiana, SE and its susceptibility to occurrence in the northeastern of Brazil. For this, 20 plots of 25 m2 were plotted, as all individuals of the species were counted and measured inside these sampling units. With these data, density, spatial dispersion, correlation between ontogenetic stages and individuals were calculated in diametric and hypsometric frequency classes. For modeling, georeferenced occurrence points of the species were collected in SpeciesLink and GBIF. Different algorithms were used to generate a consensual model and the maps were made in Qgis. A total of 111 individuals (0.22 ind.m2) were sampled, of which 44 (0.09 ind.m2) were adults and 67 (0.13 ind.m2) were regenerating. The species showed aggregated dispersion for the entire population (Id = 1.12), as well as for adults (Id = 1.18) and for regenerants (Id = 1.51). Concerning to the distribution of individuals in diametric frequency classes, an inverted “J” distribution was obtained. Regarding the distribution of individuals in hypsometric frequency classes, the highest concentration of individuals was observed in the intermediate classes. The species showed an occurrence susceptibility ranging from medium to high in a good part of the northeastern coast and in some wild areas. The species A. brevicalyx showed low density, however the population is stable. The potential distribution of the species indicates the northeastern coast as the most favorable region for its conservation and for the search for new populations.
关键词：Arecaceae;Population structure;Climate niche modeling.