Environmental gradients, covering coastal central California, which are relevant to modeling habitat suitability of Deinandra increscens subsp. villosa

Simons, Ariel, University of California, Santa Cruz, https://orcid.org/0000-0003-0492-5492

Meyer, Rachel, University of California, Santa Cruz, https://orcid.org/0000-0002-4907-5797

Wishingrad, Van, University of California, Santa Cruz, https://orcid.org/0000-0002-6256-4018

alsimons@ucsc.edu, rameyer@ucsc.edu, vwishing@ucsc.edu

Research facility: University of California, Santa Cruz

Published Jun 13, 2022 on Dryad. https://doi.org/10.5068/D1V105

Cite this dataset

Simons, Ariel; Meyer, Rachel; Wishingrad, Van (2022). Environmental gradients, covering coastal central California, which are relevant to modeling habitat suitability of Deinandra increscens subsp. villosa [Dataset]. Dryad. https://doi.org/10.5068/D1V105

Abstract

Species distribution models (SDMs) are often used to predict areas of suitable habitat for a species across a geographic extent, or to predict range changes due to climate change. These models rely on presence-only data for individuals distributed across a landscape, together with environmental conditions at the points at which individuals occur, in order to predict suitable habitats outside of the observed area. MaxEnt has been commonly used to model the distribution of species when presence-only data is available, as opposed to scenarios where we also have true absence data. MaxEnt is being used in this study since only presence-only data are available. Here, a habitat suitability model of the Gaviota tarplant in western portions of Santa Barbara and San Luis Obispo counties is carried out.

Methods

Metadata descriping the source and characteristics of these environmental map layers are described here: https://docs.google.com/spreadsheets/d/1Sj3h2E7fIOweSX5IA57hFcskyVkZAqw1Sj7WRBumy-M/edit?usp=sharing

Usage notes

These map layers can be viewed in a variety of open source platforms, such as QGIS and R.