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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
Tags: Botany,
Genetics,
MCDA,
Mediterranean-type Ecosystems,
Multi-criteria decision analysis, All tags...
Pareto ranking,
San Diego,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota,
ecosystems,
environment,
fires,
genetics,
habitat alteration,
species diversity,
wildfires, Fewer tags
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