Landscape analyses using eDNA metabarcoding and Earth observation predict community biodiversity in California.

ABSTRACT: Ecosystems globally are under threat from ongoing anthropogenic environmental change. Effective conservation management requires more thorough biodiversity surveys that can reveal system-level patterns and that can be applied rapidly across space and time. Using modern ecological models and community science, we integrate environmental DNA and Earth observations to produce a time snapshot of regional biodiversity patterns and provide multi-scalar community-level characterization. We collected 278 samples in spring 2017 from coastal, shrub, and lowland forest sites in California, a complex ecosystem and biodiversity hotspot. We recovered 16,118 taxonomic entries from eDNA analyses and compiled associated traditional observations and environmental data to assess how well they predicted alpha

SUBMITTER: Lin M 

PROVIDER: S-EPMC9297316 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature