Globally, more than one million species are at risk of extinction. Without precise information on where those species are likely to be found, conservationists struggle to prioritise their efforts. Regulations for protecting endangered species inhibit agriculture, housing and infrastructure development in areas where there is uncertainty about the presence of at-risk species.


By integrating biological field data from the NatureServe Network, digital climate and environmental maps and Azure Machine Learning, NatureServe generates predictive habitat maps for thousands of at-risk species, delivering precision conservation at the scale of a nation. When armed with intelligent data, we can reduce negative impacts and more effectively act to conserve our natural heritage.

How NatureServe uses Azure

Piping plover seabird

NatureServe connects science with conservation

Gray’s lily flower

Photo notes:

  1. Florida scrub-jay (Aphelocoma coerulescens), NatureServe Global Conservation Status: Imperilled (G2); ESA Listing Status: Threatened.
  2. Piping plover (Charadrius melodus), NatureServe Global Conservation Status: Vulnerable (G3); ESA Listing Status: Endangered (Great Lakes population), Threatened (Atlantic Coast and Northern Great Plains populations). Photo by Casey Weissburg, CC BY-NC 4.0.
  3. Gray’s lily (Lilium grayi), NatureServe Global Conservation Status: Critically Imperilled (G1). Photo by Annkatrin Rose, CC BY-NC-SA 2.0.