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Person

Stacie A Hathaway

Ecologist

Email: sahathaway@usgs.gov
Office Phone: 619-225-6431
Fax: 619-225-6436
ORCID: 0000-0002-4167-8059

Location
4165 Spruance Road
Suite 200
San Diego , CA 92101
US
Observations (reduced to detected/not detected) of 45 vertebrate species (seven mammals, seven amphibians, and 31 reptiles) across Southern California pitfall sampling projects conducted between 1995 through 2015. Habitat patch locations of every pitfall sampling project presented in a shapefile. Habitat patches were measured based on the size when pitfall sampling began within each. Sampling projects within the same geographic area may have different sized patches based on date of project sampling and if patch erosion occurred. A matrix of whether each species was expected within each habitat patch's species pool based on range maps and published records is also included. These data support the following publication:...
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The data set consists of 12 input data rasters that cover San Diego County, California. These input rasters represent criteria used in a Pareto ranking algorithm in the manuscript. These include three rasters related to fire threats, three rasters related to habitat fragmentation threats, four rasters related to species biodiversity, and two rasters related to genetic biodiversity. (see the PLOS ONE paper for details). These data support the following publication: Tracey JA, Rochester CJ, Hathaway SA, Preston KL, Syphard AD, Vandergast AG, et al. (2018) Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management. PLoS ONE 13(9): e0200203. https://doi.org/10.1371/journal.pone.0200203
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A new analysis approach in landscape genetics and phylogeography is the creation of “genetic landscapes” to visualize genetic structure across geographic space. The Genetic Landscapes GIS Toolbox contains four tools to map genetic landscapes and to summarize multiple genetic landscapes as average and variance surfaces in ArcGIS ® (Environmental Science Research Institute, Redlands, CA, USA). Together, these tools automate a series of calculations and data manipulations to create genetic landscape surfaces directly from tables containing genetic distance or diversity data and sample location coordinates. This allows users with little GIS experience to create and analyze these complex raster surfaces with efficiency...
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