Welcome to the NatSci news page! Check back often to learn about the latest innovations, discoveries and accomplishments of our faculty, staff, students and alumni.
July 27, 2023
As biodiversity loss wreaks havoc on grasslands throughout the world, many have hoped that soil seed banks would act as a “biodiversity reservoir” and preserve species that are disappearing. However, in a recent study published in Nature Communications, Michigan State University plant biologist Lauren Sullivan and her team challenge that assumption. Previous studies have shown that fertilization can lead to biodiversity loss in the above ground community, but this is the first multi-site study to show a link to the seed bank community.
March 2, 2023
New research led by Michigan State University integrative biologist Alisha Shah is showing how vulnerable the threatened meltwater stonefly is to climate change. Shah is part of a research team that’s examining the biology of these stoneflies against the backdrop of climate change. Their findings were recently published in the journal Functional Ecology.
May 27, 2022
Postdoctoral researcher Jeff Doser and his team at Michigan State have developed a unique model to analyze declining biodiversity and understand the changes occurring within individual species and across broader wildlife communities. In a new paper, published in Methods in Ecology and Evolution, the team shows how integrating data from multiple species and data sources can take analyses a step further than previous approaches.
February 5, 2021
According to a paper recently published in BioScience by MSU entomologist Anthony Cognato and master's student Erica Fischer, collaboration between amateur butterfly collectors and entomology researchers has never been so critical to ensuring that critically important large-scale contemporary and future ecological, conservation, and evolutionary hypotheses concerning insects can be tested.
September 29, 2023$1.1M alumni gift to support student development in sustainability, environmental studies as part of RISE program
September 15, 2023Accelerating nuclear science with machine learning