About the Node Hosts: The North Central Climate Science Center is one of eight regional climate centers created by the US Department of Interior to help meet the changing needs of land and resource managers across the US. The Center brings together the latest data, tools, and knowledge on the impacts of climate change, and works directly with resource managers to promote climate-informed conservation and provides researchers an opportunity to work with an engaged and proactive applied management community.
The Natural Resource Ecology Laboratory (NREL) began in 1968 as a world leader in grassland research. Over three decades, the scope of research at NREL has expanded to include projects on every continent and topics ranging from the soil microbial dynamics associated with the grazing of bison to global-scale studies of climate change and its impact on the terrestrial carbon cycle. NREL scientists have been pioneers in linking ecosystem theory, experimentation, field measurements and computer modeling. In particular, NREL has emphasized the use of systems analysis and computer modeling to reduce ecosystem complexity to a manageable level. CENTURY, one of the first and most widely used ecosystem models in the world, was developed at NREL.
History of the DEVELOP Node: The DEVELOP USGS at Colorado State University node was one of the first nodes at an academic location, opening in 2012. The node is located at the Natural and Environmental Sciences Building, and is housed within the North Central Climate Science Center and the Natural Resource Ecology Laboratory.
About the Node: Our node hosts roughly 8 participants each term, for an average of 24 participants each year. These participants engage in 6 projects per year. The node typically specializes in ecological forecasting, climate, and agriculture projects. The node principal investigator and Lead Science Advisor, Dr. Paul H. Evangelista and, the node science advisor Dr. Amanda West, both hold a broad array of ecological research interests including invasive species, forestry, rare and endangered wildlife, ecosystem services, resource management, fire ecology, and climate change. Their interests are frequently examined in the context of space and time through a suite of integrative spatial modeling techniques that combine field data, traditional and expert knowledge, geographic information systems (GIS), remote sensing and spatial statistics.
GIS in the Rockies, Denver, CO. September 20th, 2016. Mapping Spruce Beetle Outbreak Severity and Distribution in the Gunnison National Forest Using Landsat and Integrative Spatial Modelling.
Chignell, S. M., Anderson, R. S., Evangelista, P. H., Laituri, M. J., & Merritt, D. M. (2015). Multi-temporal independent component analysis and Landsat 8 for delineating maximum extent of the 2013 Colorado front range flood. Remote Sensing, 7(8), 9822-9843.