Animals select habitat at multiple spatial scales, suggesting that biodiversity modeling, for
example of species richness, should be based on environmental data gathered at multiple …

In this paper we investigate the relative predictive power of a number of remote sensing-
derived environmental descriptors of land cover and productivity to predict species richness …

Recent advances in remote sensing and ecological modeling warrant a timely and robust
investigation of the ecological variables that underlie large-scale patterns of breeding bird …

Bird species richness is highly dependent on the amount of energy available in an
ecosystem, with more available energy supporting higher species richness. A good indicator …

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 …

Human activities alter ecosystems everywhere, causing rapid biodiversity loss and biotic
homogenization. These losses necessitate coordinated conservation actions guided by …

Continuous-based predictors of habitat characteristics derived from satellite imagery are
increasingly used in species distribution models (SDM). This is especially the case of …

Biodiversity science and conservation alike require environmental indicators to understand
species richness and predict species distribution patterns. The Dynamic Habitat Indices …

Conserving multiple facets of biodiversity is important for sustaining ecosystems. However,
understanding relationships between faunal diversity and measurable ecosystem quantities …

Predicting broad‐scale patterns of biodiversity is challenging, particularly in ecosystems
where traditional methods of quantifying habitat structure fail to capture subtle but potentially …