Environmental gradients, covering coastal central California, which are relevant to modeling habitat suitability of Deinandra increscens subsp. villosa
Data files
Jun 13, 2022 version files 1 GB
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GVTPAnnualCloudCover.tif
32.52 MB
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GVTPAspect.tif
68.38 MB
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GVTPBioclim1.tif
72.46 MB
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GVTPBioclim15.tif
74.97 MB
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GVTPBioclim18.tif
39.02 MB
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GVTPBioclim19.tif
60.41 MB
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GVTPBioclim2.tif
72.90 MB
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GVTPBioclim3.tif
75.96 MB
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GVTPBioclim4.tif
76.61 MB
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GVTPBioclim8.tif
68.15 MB
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GVTPGeology.tif
38.07 MB
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GVTPHydrologicCharacteristic.tif
35.17 MB
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GVTPInterAnnualCloudCover.tif
31.06 MB
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GVTPIntraAnnualCloudCover.tif
32.16 MB
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GVTPLandCover.tif
12.34 MB
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GVTPLandform.tif
19.09 MB
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GVTPSlope.tif
67.49 MB
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GVTPSoilDensity.tif
39.81 MB
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GVTPSoilDepth.tif
75.80 MB
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GVTPSoilTexture.tif
7.64 MB
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README.pdf
118.98 KB
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.
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
These map layers can be viewed in a variety of open source platforms, such as QGIS and R.