I am a Research Ecologist with the Human Dimensions Program at Rocky Mountain Research Station. I specialize in use of remote sensing and GIS to facilitate evaluation of contemporary issues facing US rangelands. I am keenly interested in facilitating management and administration of our Nations’ rangelands and am pursuing numerous efforts to partner with the National Forest System to improve the quality and usefulness of Forest Plan Revisions. An example of spatially explicit information describing rangeland trends can be found at: https://doi.org/10.2737/RDS-2017-0004. My research portfolio spans 4 themes:
I am the Forest Service liaison to the Northern Plains Regional Climate Hub, and I serve on the Sustainable Rangelands Roundtable (http://sustainablerangelands.org/) while being a member of the Resources Planning Act (RPA) scientist cadre.
Reeves, Matthew C.; Krebs, Michael; Leinwand, Ian; Theobald, David M.; Mitchell, John E. 2018. Rangelands on the Edge: Quantifying the modification, fragmentation, and future residential development of U.S. rangelands. Gen. Tech. Rep. RMRS-GTR-382. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 31 p.
Reeves, Matt C.; Manning, Mary E.; DiBenedetto, Jeff P.; Palmquist, Kyle A.; Lauenroth, William K.; Bradford, John B.; Schlaepfer, Daniel R. 2018. Effects of climate change on rangeland vegetation in the Northern Rockies Region [Chapter 7]. In: Halofsky, Jessica E.; Peterson, David L.; Dante-Wood, S. Karen; Hoang, Linh; Ho, Joanne J.; Joyce, Linda A., eds. Climate change vulnerability and adaptation in the Northern Rocky Mountains [Part 2]. Gen. Tech. Rep. RMRS-GTR-374. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 275-316.
Reeves, Matthew Clark; Bagne, Karen E.; Tanaka, John. 2017. Potential climate change impacts on four biophysical indicators of cattle production from western US rangelands. Rangeland Ecology and Management. 70(5): 529-539.
I focus on developing novel rangeland analysis tools aimed at helping managers and regional stakeholders to make more cost effective and efficacious management decisions. The latest of these is the Rangeland Production Monitoring Service (RPMS) offering both retrospective analysis and in season projections of fuel and forage.
These weekly fuel and forage projections can be viewed and downloaded here:
Rangeland Fuel and Forage Projections (Please note that an ArcGIS login is required)
Fire and fuel professionals now have unprecedented data to support weekly fire behavior projections while range managers can more effectively communicate forage expectations with stakeholders. This new service provides analysis across US rangelands for managers, producers and all stakeholders. In addition, I am focused on climate change effects on rangelands and livestock; Development of simulation models for understanding effects of management and climate on vegetation performance and subsequent fuelbed properties; and use of remote sensing for wide area and inter-annual quantification of fuels on US rangelands and Inventory and monitoring of US rangelands.
Reeves, Matt; Frid, Leonardo. 2016. The Rangeland Vegetation Simulator: A user-driven system for quantifying production, succession, disturbance and fuels in non-forest environments. In: Iwaasa, Alan; Lardner, H. A. (Bart); Schellenberg, Mike; Willms, Walter; Larson, Kathy, eds. Proceedings of the 10th International Rangelands Congress: The Future Management of Grazing and Wild Lands in a High-Tech World; 16-22 July, 2016; Saskatoon, Saskatchewan. The International Rangeland Congress. p. 1062-1063.
Reeves, Matthew C.; Ryan, Kevin C.; Rollins, Matthew G.; Thompson, Thomas G. 2009. Spatial fuel data products of the LANDFIRE Project. International Journal of Wildland Fire. 18: 250-267.
Reeves, Matthew C.; Bagget, L. Scott. 2014. A remote sensing protocol for identifying rangelands with degraded productive capacity. Ecological Indicators. 43: 172-182.
My past research has been diverse ranging from evaluating big game habitat and creating vegetation classifications in southwestern ecosystems to mapping wildland fuels for the coterminous US. I have developed a significant number of geospatial models and quantitative prediction systems using remote sensing as a primary driver.
Budgets for land management activities are shrinking while escalating wildfire costs make future prioritization of projects increasingly more important. There is a paucity of decision support tools and quantitative models aimed at improving and predicting management outcomes, or climatic change. The great uncertainty regarding probable management efficacy (especially when complicated by greater climatic uncertainty), large loss of resources from wildfires, and increasing emphasis on key species such as sage grouse obviate the need for more timely, accurate and useful spatially explicit information. My research is helping improve this situation and I have developed ecological simulation and mapping protocols for understanding climatic change and management effects on rangeland ecosystems.