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Climate, food and humans predict communities of mammals in the United States

June 27, 2024

Aim

The assembly of species into communities and ecoregions is the result of interacting factors that affect plant and animal distribution and abundance at biogeographic scales. Here, we empirically derive ecoregions for mammals to test whether human disturbance has become more important than climate and habitat resources in structuring communities.

Location

Conterminous United States.

Time Period

2010–2021.

Major Taxa Studied

Twenty-five species of mammals.

Methods

We analysed data from 25 mammal species recorded by camera traps at 6645 locations across the conterminous United States in a joint modelling framework to estimate relative abundance of each species. We then used a clustering analysis to describe 8 broad and 16 narrow mammal communities.

Results

Climate was the most important predictor of mammal abundance overall, while human population density and agriculture were less important, with mixed effects across species. Seed production by forests also predicted mammal abundance, especially hard-mast tree species. The mammal community maps are similar to those of plants, with an east–west split driven by different dominant species of deer and squirrels. Communities vary along gradients of temperature in the east and precipitation in the west. Most fine-scale mammal community boundaries aligned with established plant ecoregions and were distinguished by the presence of regional specialists or shifts in relative abundance of widespread species. Maps of potential ecosystem services provided by these communities suggest high herbivory in the Rocky Mountains and eastern forests, high invertebrate predation in the subtropical south and greater predation pressure on large vertebrates in the west.

Main Conclusions

Our results highlight the importance of climate to modern mammals and suggest that climate change will have strong impacts on these communities. Our new empirical approach to recognizing ecoregions has potential to be applied to expanded communities of mammals or other taxa.

Publication Year 2024
Title Climate, food and humans predict communities of mammals in the United States
DOI 10.1111/ddi.13900
Authors Roland Kays, Matthew Snider, George Hess, Michael Cove, Alex Jensen, Hila Shamon, William McShea, Brigit Rooney, Maximilian Allen, Charles Pekins, Christopher C. Wilmers, Mary Pendergast, Austin Green, Justin Suraci, Matthew Leslie, Sophie Nasrallah, Dan Farkas, Mark Jordan, Melissa Grigione, Michael LaScaleia, Miranda Davis, Chris Hansen, Josh Millspaugh, Jesse Lewis, Michael Havrda, Robert Long, Kathryn Remine, Kodi Jaspers, Diana Lafferty, Tru Hubbard, Colin Studds, Erika Barthelmess, Katherine Andy, Andrea Romero, Brian O’Neill, Melissa Hawkins, Jason Lombardi, Maksim Sergeyev, M. Fisher-Reid, Michael Rentz, Christopher Nagy, Jon Davenport, Christine Rega-Brodsky, Cara Appel, Damon Lesmeister, Sean Giery, Christopher Whittier, Jesse M. Alston, Chris Sutherland, Christopher Rota, Thomas Murphy, Thomas Lee, Alessio Mortelliti, Dylan Bergman, Justin Compton, Brian Gerber, Jess Burr, Kylie Rezendes, Brett DeGregorio, Nathaniel Wehr, John Benson, M. O’Mara, David S. Jachowski, Morgan Gray, Dean Beyer, Jerrold L. Belant, Robert Horan, Robert Lonsinger, Kellie Kuhn, Steven Hasstedt, Marketa Zimova, Sophie Moore, Daniel Herrera, Sarah Fritts, Andrew Edelman, Elizabeth Flaherty, Tyler Petroelje, Sean Neiswenter, Derek Risch, Fabiola Iannarilli, Marius van der Merwe, Sean Maher, Zach Farris, Stephen Webb, David Mason, Marcus Lashley, Andrew Wilson, John Vanek, Samuel Wehr, L. Conner, James Beasley, Helen Bontrager, Carolina Baruzzi, Susan Ellis-Felege, Mike Proctor, Jan Schipper, Katherine Weiss, Andrea Darracq, Evan Barr, Peter Alexander, Cagan Sekercioglu, Daniel Bogan, Christopher Schalk, Jean Fantle-Lepczyk, Christopher Lepczyk, Scott LaPoint, Laura Whipple, Helen Rowe, Kayleigh Mullen, Tori Bird, Adam Zorn, LaRoy Brandt, Richard G. Lathrop, Craig McCain, Anthony Crupi, James Clark, Arielle Parsons
Publication Type Article
Publication Subtype Journal Article
Series Title Diversity and Distributions
Index ID 70257547
Record Source USGS Publications Warehouse
USGS Organization Coop Res Unit Leetown
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