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.
The aim of the study was to investigate the effects of environmental conditions on the intra- and interspecific variability of WD for tree assemblages in forests of the northern Brazilian Amazon.