Using satellite data to assess spatial drivers of bird diversity.

ABSTRACT: Birds are useful indicators of overall biodiversity, which continues to decline globally, despite targets to reduce its loss. The aim of this paper is to understand the importance of different spatial drivers for modelling bird distributions. Specifically, it assesses the importance of satellite-derived measures of habitat productivity, heterogeneity and landscape structure for modelling bird diversity across Great Britain. Random forest (RF) regression is used to assess the extent to which a combination of satellite-derived covariates explain woodland and farmland bird diversity and richness. Feature contribution analysis is then applied to assess the relationships between the response variable and the covariates in the final RF models. We show that much of the variation in farmland and w

SUBMITTER: Hunt ML 

PROVIDER: S-EPMC10946777 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature