Data integration reveals dynamic and systematic patterns of breeding habitat use by a threatened shorebird.

ABSTRACT: Incorporating species distributions into conservation planning has traditionally involved long-term representations of habitat use where temporal variation is averaged to reveal habitats that are most suitable across time. Advances in remote sensing and analytical tools have allowed for the integration of dynamic processes into species distribution modeling. Our objective was to develop a spatiotemporal model of breeding habitat use for a federally threatened shorebird (piping plover, Charadrius melodus). Piping plovers are an ideal candidate species for dynamic habitat models because they depend on habitat created and maintained by variable hydrological processes and disturbance. We integrated a 20-year (2000-2019) nesting dataset with volunteer-collected sightings (eBird) using point pro

SUBMITTER: Ellis KS 

PROVIDER: S-EPMC10102276 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature