Neste estudo, fornecemos a descrição da espécie com base nos novos registros, a avaliação preliminar do risco de extinção, pranchas fotográficas, um mapa de distribuição geográfica atualizado, comentários ecológicos, e uma chave de identificação das espécies de Aristolochia subser. Anthocaulicae da Amazônia brasileira.
The lack of synthesized information regarding biodiversity is a major problem among researchers, leading to a pervasive cycle where ecologists make field campaigns to collect information that already exists and yet has not been made available for a broader audience. This problem leads to long-lasting effects in public policies such as spending money multiple times to conduct similar studies in the same area. We aim to identify this knowledge gap by synthesizing information available regarding two Brazilian long-term biodiversity programs and the metadata generated by them.
Cyrtocarpa is a generic name that has been applied to members of a complex of dry-habitat Neotropical taxa, but recent investigations have revealed that in fact this group represents three distinct genera. Tumultivenia and Uniostium, two new genera of Anacardiaceae-Spondioideae, are described and illustrated, as is one new species, Cyrtocarpa caribaea.
We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change.
Here, we use a machine learning approach to quantify the importance of environmental factors and apply it to generate spatial predictions of the species diversity of all trees (dbh ≥ 10 cm) and for very large trees (dbh ≥ 70 cm) using data from 243 forest plots (108,450 trees and 2832 species) distributed across different forest types and biogeographic regions of the Brazilian Amazon.