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SILVIS LAB
Spatial Analysis For Conservation and Sustainability
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Biodiversity

Species richness varies by orders of magnitude across the globe and so does the richness of endangered species. We are interested in both the macroecological processes causing richness patterns, and the socioeconomic processes determining where biodiversity is threatened.

Map of habitat heterogeneity across the conterminous U.S., based on 30-m resolution standard deviation texture (21x21 moving window) of NDVI (index of vegetation greenness) from Landsat 8 imagery. Darker green areas indicate regions with higher habitat heterogeneity.

Characterizing habitat heterogeneity using image texture

Dec 2018 - Biodiversity - Birds - Conservation - Remote Sensing

Laura Farwell is using image texture measures as powerful predictors of regional and global biodiversity patterns.

Moose abundance in the former Soviet Union can be predicted from the DHI Photo source: pexels.com

Predicting Moose Abundance from Space

Dec 2018 - Biodiversity - Conservation - Remote Sensing

Elena Razenkova found that remote measures of productivity like DHI can help explain moose abundance over the last 3 decades.

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Contact Us

  • Dept of Forest & Wildlife Ecology
    Russell Laboratories
    1630 Linden Drive
    Madison, WI 53706
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  • Email: helmers@wisc.edu
  • Phone: (608) 265-9219
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Website feedback, questions or accessibility issues: helmers@wisc.edu.

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