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Download Envision Datasets for the Eugene Study Area IDU coverage (1GB)and the Eugene Study Area Inputs (55MB) Draft Scenario Results are available here
We employ an approach that downscales from the coarse scales Dynamic Global Vegetation Models to the fine scales at which human land use and management decisions are made, and then scales back up to represent the landscape-scale effects of human actions on vegetation and fire hazard. Through the use of an agent-based model, individual decision makers respond to a suite of factors including climate, land use regulation and incentives, land markets, fire hazard, land management costs and aesthetics. Agent behaviors are parameterized probabilistically based on a survey of study area landowners as well as census and other local data. We test three hypotheses: 1) climate change will lead to altered fuel loads and greater wildfire hazard at fine spatial extents in the WVE; 2) current WVE land use trajectories will lead to increased wildland-urban interface area and changes in vegetation that together increase the risk of wildfire and loss of imperiled ecosystems; and 3) some policy sets will be more robust than others in reducing fire risk and sustaining imperiled ecosystems across a range of future climate scenarios. Study Areas: We are examining two study areas, in Linn and Lane Counties, Oregon
Collaborators include: Bart R. Johnson (1), Robert G. Ribe (1), David W. Hulse (1), John P. Bolte (2), Scott D. Bridgham(1), Gabriel I. Yospin (1), Timothy Sheehan (1), Max Nielson-Pincus (1), Alan A. Ager (3), Jane A. Kertis (4), Dominique Bachelet (2), Ronald P. Neilson (4), David Conklin (2), Constance A. Harrington (5) and Peter J. Gould (5). (1) University of Oregon, Eugene, OR, (2) Oregon State University, Corvallis, OR, (3) USDA Forest Service, Prineville, OR, (4) USDA Forest Service, Corvallis, OR, (5) USDA Forest Service, Olympia WA |
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