Data from: A data-driven geospatial workflow to map species distributions for conservation assessments

Palacio, Ruben Dario, Duke University, https://orcid.org/0000-0001-9029-3094

Negret, Pablo Jose, University of Queensland

Veláquez-Tibatá, Jorge, National Audubon Society

Jacobson, Andrew P, Catawba College

ruben.palacio@duke.edu

Published Mar 30, 2022 on Dryad. https://doi.org/10.5061/dryad.9cnp5hqjm

Cite this dataset

Palacio, Ruben Dario; Negret, Pablo Jose; Veláquez-Tibatá, Jorge; Jacobson, Andrew P (2022). Data from: A data-driven geospatial workflow to map species distributions for conservation assessments [Dataset]. Dryad. https://doi.org/10.5061/dryad.9cnp5hqjm

Abstract

We developed a geospatial workflow that refines the distribution of a species from its extent of occurrence (EOO) to area of habitat (AOH) within the species range map. The range maps are produced with an inverse distance weighted (IDW) interpolation procedure using presence and absence points derived from primary biodiversity data (GBIF and eBird hotspots respectively). Here we provide sample data to run the geospatial workflow for nine forest species across Mexico and Central America.

Usage notes

The data consists of species occurrences and absences, in addition to environmental layers required for the geoworkflow (habitat and elevation layers). All data is provided in open file formats (.csv, .tif, .gpkg).