Richard D Inman, PhD
Rich Inman is a biologist at the Fort Collins Science Center, whose research spans the intersection of geographic information science, landscape ecology and conservation biology.
I address broad questions about the mechanisms influencing patterns of biodiversity, such as how ecological processes and land management actions can alter habitat and species distributions through time. A key goal of my work is to provide a scientifically rigorous basis for spatially explicit natural resource management decisions; therefore, my research interests are driven largely by the information needs of regional conservation efforts and planning agencies.
Professional Experience
Biologist, U.S. Geological Survey, 2023-Present
Ecologist, U.S. Geological Survey, 2021-2023
Wildlife Biologist, U.S. Geological Survey, 2008-2021
Biological Science Technician, U.S. Geological Survey, 2006-2008
Research Assistant, University of Nevada, 2005-2006
Desert Tortoise Assistant Project Manager, The Redlands Institute, 2001-2004
Education and Certifications
Ph.D. Geography, Arizona State University, 2018
M.S. Biology, University of Nevada Reno, 2008
B.S. Environmental Science & Biology, University of Redlands 2001
Science and Products
Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models
An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area
Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes
Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park
Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA
Multi-scale connectivity and graph theory highlight critical areas for conservation under climate change Multi-scale connectivity and graph theory highlight critical areas for conservation under climate change
Testing taxon tenacity of tortoises: evidence for a geographical selection gradient at a secondary contact zone Testing taxon tenacity of tortoises: evidence for a geographical selection gradient at a secondary contact zone
Mapping habitat for multiple species in the Desert Southwest Mapping habitat for multiple species in the Desert Southwest
Is there room for all of us? Renewable energy and Xerospermophilus mohavensis Is there room for all of us? Renewable energy and Xerospermophilus mohavensis
Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts
Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling
Evolutionary hotspots in the Mojave Desert Evolutionary hotspots in the Mojave Desert
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models
An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area An assessment of food habits, prey availability, and nesting success of golden eagles within the Desert Renewable Energy Conservation Plan Area
Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes
Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park Comparison of methods to monitor the distribution and impacts of unauthorized travel routes in a border park
Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA Impacts of climate change and renewable energy development on habitat of an endemic squirrel, Xerospermophilus mohavensis, in the Mojave Desert, USA
Multi-scale connectivity and graph theory highlight critical areas for conservation under climate change Multi-scale connectivity and graph theory highlight critical areas for conservation under climate change
Testing taxon tenacity of tortoises: evidence for a geographical selection gradient at a secondary contact zone Testing taxon tenacity of tortoises: evidence for a geographical selection gradient at a secondary contact zone
Mapping habitat for multiple species in the Desert Southwest Mapping habitat for multiple species in the Desert Southwest
Is there room for all of us? Renewable energy and Xerospermophilus mohavensis Is there room for all of us? Renewable energy and Xerospermophilus mohavensis
Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts Comparative phylogeography reveals deep lineages and regional evolutionary hotspots in the Mojave and Sonoran Deserts
Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling
Evolutionary hotspots in the Mojave Desert Evolutionary hotspots in the Mojave Desert
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.