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One of the strengths of a new biodiversity modeling framework developed by Michigan State University researchers is its ability to combine data frame various sources. The researchers demonstrated this strength using a case study involving 10 Midwestern butterfly species, including the Peck’s skipper, or Polites peckius.

October 26, 2023

MSU unveils tools, techniques that can inform conservation efforts for data-poor species

Tags:

Integrative Biology, biodiversity modeling, conservation, data gaps, eeb, quantitative ecology

Integrative biologist Elise Zipkin and her team at Michigan State University have developed a framework that can help scientists understand trends in biodiversity by using data from well-characterized species to provide insights on data-deficient species. They’re using information from well-quantified animals to reveal insights about less common, harder-to-observe species. Now, they’re sharing their methods with the wider research and conservation community in the Journal of Animal Ecology.