U contributes to first-ever nationwide mammal survey

This story is adapted from a release by the North Carolina Museum of Natural Sciences. Find the original here.

How are the squirrels doing this year? The bears? The armadillos? How would you know? A new paper sets up the framework for answering these questions across the United States by releasing the data from the first national mammal survey made up of 1,509 motion-activated camera traps from 110 sites located across all 50 states. The research results appeared on June 8 in Ecology, a publication of the Ecological Society of America, the nation’s largest organization of professional ecologists.

“This project required a massive amount of cooperation across the entire country,” said Austin Green, a doctoral student in the University of Utah’s School of Biological Sciences and a contributor to the project. “However, the effort has definitely paid off, as we are now sitting on a dataset that can help us understand more about some of our country’s most elusive animals than we ever thought possible. It also allows us to monitor these populations through time, something of critical importance in this era of rapid change.

When comparing particular species across the country, Utah stood out for being in the “Top 10” for the relative abundance of raccoons (No. 3, Wasatch); bobcats (No. 4, Red Cliffs); and red fox (No. 5, Wasatch). Nationally, ranking of top sites for select mammal species can be found here.

Unlike birds, which have multiple large-scale monitoring programs, there has been no standard way to monitor mammal populations at a national scale. To address this challenge, scientists from the North Carolina Museum of Natural Sciences and the Smithsonian Conservation Biology Institute recently collaborated with more than 150 scientists on the first-ever nationwide wildlife survey, called Snapshot USA. “Our goal was to provide a space for researchers from all 50 states to contribute a subset of their data to a broader initiative to maximize our coverage of the country and better understand drivers of mammal distributions to best inform conservation as rapidly as possible,” said Michael Cove, the museum’s curator of mammalogy and lead author of the new paper.

For two months in fall 2019 researchers collected more than 166,000 images of 83 different mammal species. White-tailed deer were the most common species detected (34,000+ times at 1,033 camera sites), followed by eastern gray squirrels and raccoons. Pygmy rabbits, mountain beavers, hog-nosed skunks and marsh rabbits were among the least common mammals photographed. Yet, the overall detection winner was the coyote, which was detected in all 49 continental states-they have not made it to Hawaii yet. All the data are archived at the Smithsonian Institution’s eMammal database and published as part of the new paper.

In an interesting twist, developed areas tended to have the highest overall mammal detections, with three of the top five sites for total mammal activity being urban: Urbana, Illinois; Baltimore, Maryland; and Washington, D.C. “These new data show that the urban mammal paradox, with more animals actually living close to people, is not just an isolated phenomenon,” said co-author Roland Kays, a scientist at the museum and at North Carolina State University.

The publication makes the 2019 survey data available online for anyone to use for research questions, such as the evaluation of changes in animal populations over time or informing conservation strategies for threatened and endangered species. “This project involved a remarkable level of cooperation and data sharing that will have to be the standard going forward to adequately monitor our valuable wildlife resources at the national scale,” adds William McShea of the Smithsonian Conservation Biology Institute.

The scientists repeated the survey in fall 2020 likely providing insights on the effects of the COVID-19 pandemic on wildlife distributions and habitat use-resulting data will be available as the eMammal database is updated in 2021.

Find the full study here.

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