ForCaMF - Decision Support for Landscape-Level Forest Carbon Management
Sean
P
Healey, USDA Forest Service, seanhealey@fs.fed.us
(Presenter)
Forests have the capacity to store atmospheric carbon, and forest management is seen as a potential way to partially offset high anthropogenic greenhouse gas emissions. However, application of carbon cycle research in this area will depend upon development of new approaches for decision support which address, in a transparent way, the local ecological complexities facing managers without relying upon specialized monitoring campaigns. The Forest Carbon Management Framework (ForCaMF) has been developed to meet these needs. Forest carbon stocks and flows are modeled by applying carbon dynamics from a robust simulation tool (FVS: the Forest Vegetation Simulator) to high-resolution (30m) maps of forest structure and disturbance over the last 25 years. The defining feature of ForCaMF is that the maps used to represent landscape dynamics are modified in two ways: 1) stochastically, to simulate the potential effects of map bias and random error on flux estimates, and 2) purposively, to investigate effects of alternative disturbance scenarios. Presentation Type: Poster Session: Science in Support of Decision Making (Wed 10:00 AM) Associated Project(s):
Poster Location ID: 166
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