Evaluating LiDAR-Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests.

ABSTRACT: Globally, many insects depend on forest habitat for critical nesting and floral resources. Forest structural complexity can affect the distribution of these resources and likewise alter insect assemblages within forests. Despite the importance of temperate deciduous forests for bees and their outsized contribution to pollination services within forests and beyond, the relationship between forest structure and bees has received scant attention. This is especially true in managed temperate deciduous forests, where management strategies alter forest structural complexity and may therefore affect bee communities. We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition

SUBMITTER: Chase MH 

PROVIDER: S-EPMC11949573 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature