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Rocky Mountain Section–58th Annual Meeting (17–19 May 2006)

Paper No. 1
Presentation Time: 10:00 AM

A MODULAR MODELING APPROACH TO INTEGRATING ADAPTIVE MODELING SYSTEMS WITH RESOURCE MANAGEMENT IN THE FRAME PROJECT


LEAVESLEY, George1, VIGER, Roland1, CHEW, Jim2, TURNER, Christine3, ZIRBES, Richard1, ROMME, William4, MILLER, Mark5, SAN MIGUEL, George6, COBB, Neil7 and FLOYD-HANNA, Lisa8, (1)U.S. Geological Survey, Denver, CO 80225, (2)USDA Forest Service, Missoula, MT 59807, (3)U. S. Geol Survey, Federal Center M.S. 939, Box 25046, Denver, CO 80225, (4)Department of Foresty Sciences, Colorado State Univ, Fort Collins, CO 80523, (5)National Park Service, Moab, UT 84532, (6)National Park Service, Mesa Verde, CO 81330, (7)Northern Arizona University, Flagstaff, AZ 86011, (8)Prescott College, Prescott, AZ 86301, george@usgs.gov

The FRAME (Framing Research to support Adaptive Management of Ecosystems) project is a collaborative, multi-disciplinary effort currently focusing on pinyon-juniper woodland management on the Colorado Plateau. The USGS Modular Modeling System (MMS) (http://wwwbrr.cr.usgs.gov/mms) provides a modular framework to address a variety of pinyon-juniper management issues using a set of adaptive modeling tools. MMS is being coupled with the U.S. Forest Service model SIMulating Patterns and Processes at Landscape Scales (SIMPPLLE) (http://www.fs.fed.us/rm/missoula/4151/SIMPPLLE) to enable the assessment of the effects of alternative resource-management options on a variety of hydrologic and ecosystem processes. A variety of watershed, erosion, hydraulic, and ecosystem models in MMS will be used to evaluate the spatially explicit output of SIMPPLLE. Output from SIMPPLLE is an ensemble of potential vegetation conditions years to decades into the future. Key components of the linked MMS and SIMPPLLE models are 1) tools to estimate parameters in MMS process-based models using vegetation and ecosystem attribute data from SIMPPLLE output, and 2) a climate generator to provide time series of meteorological variables, such as precipitation and temperature, for use as input to the process-based models. The magnitude and timing of these meteorological variables must be spatially and temporally representative of possible future climate conditions. Initial application of the coupled MMS-SIMPPLLE modeling tools is to support fire-management planning at Mesa Verde National Park. A major objective of the development and application of these tools is to allow resource managers to develop more flexible management scenarios that can adjust to changing conditions, and to develop spatially explicit landscape-management scenarios that incorporate the social, economic, legal, and environmental constraints that managers face. A review of the modular framework and selected framework tools will be presented.

Session No. 11

T8. Collaborative Efforts to Link Science to Natural Resource Management in the West
Thursday, 18 May 2006: 10:00 AM-11:40 AM
Geological Society of America Abstracts with Programs. Vol. 38, No.6, p.30
© Copyright 2006 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.
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