Mike Duniway, Ph.D.
Dr. Michael (Mike) Duniway is a soil scientist focused on soils and soil processes in dryland environments. His work provides crucial information for stakeholders, agencies and the public to assess and manage lands across the Colorado Plateau and southwest US.
In his research and outreach activities, Dr. Duniway seeks to provide information for land managers and owners to facilitate sustainable land-use activities. He works closely with federal and state agency partners and others in designing research studies, conducting technology transfer, and outreach activities. His research focuses include understanding the impacts of drought on Colorado Plateau rangelands, evaluating the recovery of oil and gas pads and seeking opportunities for improved reclamation practices, and developing new maps and tools for land management. In his work, he is interested in maintaining and balancing the important ecosystem services these landscapes provide, including clean water and air, food and fiber, tourism and cultural values, and energy.
Professional Experience
2011-Present: Research Ecologist, USGS Southwest Biological Science Center, Moab, UT
2010-2011: Research Soil Scientist, US Department of Agriculture Agricultural Research Service, Jornada, Las Cruces, NM
2006-2010: Research Soil Scientist (post doc), US Department of Agriculture Agricultural Research Service, Jornada, Las Cruces, NM
2012-Present: Adjunct Faculty, Utah State University, Logan, UT
2007-Present: Adjunct Faculty, NM State University, Las Cruces, NM
Education and Certifications
Ph.D., 2006 — Agronomy (Soil Science), New Mexico State University, Las Cruces, NM
B.S., 1994 — Environmental Resource Science, University of California, Davis, CA
Science and Products
The automated reference toolset: A soil-geomorphic ecological potential matching algorithm The automated reference toolset: A soil-geomorphic ecological potential matching algorithm
Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau
Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland
The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management
Spatially explicit rangeland erosion monitoring using high-resolution digital aerial imagery Spatially explicit rangeland erosion monitoring using high-resolution digital aerial imagery
Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape scale Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape scale
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
The automated reference toolset: A soil-geomorphic ecological potential matching algorithm The automated reference toolset: A soil-geomorphic ecological potential matching algorithm
Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau Testing the apparent resistance of three dominant plants to chronic drought on the Colorado Plateau
Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland Small-scale barriers mitigate desertification processes and enhance plant recruitment in a degraded semiarid grassland
The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management The National Wind Erosion Research Network: Building a standardized long-term data resource for aeolian research, modeling and land management
Spatially explicit rangeland erosion monitoring using high-resolution digital aerial imagery Spatially explicit rangeland erosion monitoring using high-resolution digital aerial imagery
Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape scale Rangeland monitoring reveals long-term plant responses to precipitation and grazing at the landscape scale
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.