GC13F-1215
Quantifying Carbon Consequences of Recent Land Management and Disturbances in the Greater Yellowstone Ecosystems (GYE) by linking inventory data, remote sensing and carbon modeling

Monday, 14 December 2015
Poster Hall (Moscone South)
Feng Zhao, University of Maryland College Park, Geographical Sciences, College Park, MD, United States, Chengquan Huang, University of Maryland, Department of Geographical Sciences, College Park, MD, United States, Sean P Healey, Rocky Mountain Research Statio, Ogden, UT, United States, James B. McCarter, North Carolina State University at Raleigh, Raleigh, NC, United States, Chris Garrard, Utah State University, RS/GIS Laboratory, Logan, United States and Zhiliang Zhu, USGS, Reston, VA, United States
Abstract:
Natural disturbances and land management directly change C stored in biomass and soil pools, and can have indirect impacts on long-term C balance. The Greater Yellowstone Ecosystem (GYE), located in Central Rocky Mountains of United States, is of different land ownerships within similar environmental settings, making it an ideal site to examine the impacts of management and disturbances on regional carbon dynamics. Recent advances in the remote sensing of vegetation condition and change, along with new techniques linking remote sensing with inventory records, have allowed investigations that are much more tightly constrained to actual landscape environment, instead of hypothetical or generalized conditions. These new capabilities are built into the Forest Carbon Management Framework (ForCaMF), which is being used by the National Forest System to not only model, but to monitor across very specific management units, the impact of different kinds of disturbance on carbon storage.

In this study, we used the ForCaMF approach to evaluate carbon effects of natural disturbances (e.g. wildfire) and land management (e.g. harvests) in GYE National Parks, Wilderness Area and National Forests. As might be expected, wildfire has been the dominant disturbance factor in the carbon cycle of GYE’s administratively protected areas since the mid-1980s, while harvests have dominated storage trends on the managed land in the region’s National Forests. Moving beyond this monitoring result but maintaining the same fidelity to historical vegetation patterns, we are also able to simulate alternative disturbance scenarios to provide landscape-specific insights to forest managers. We can estimate likely carbon storage impacts in GYE protected areas, for example, if more active fire suppression had been pursued since the mid-1980s. Likewise, we can identify differences in current carbon storage on managed lands if high harvest rates during the same period had been moderated. We discuss emerging links between carbon storage and management in GYE, and we consider the potential for expanding this kind of analysis using globally available satellite resources and nationally available inventory data.