2007 GSA Denver Annual Meeting (28–31 October 2007)

Paper No. 3
Presentation Time: 2:05 PM

SIMULATING RIPARIAN VEGETATION AND AQUATIC HABITAT DYNAMICS IN RESPONSE TO NATURAL AND ANTHROPOGENIC DISTURBANCE REGIMES IN THE UPPER GRANDE RONDE RIVER, OREGON, USA


WONDZELL, Steven M., Pacific Northwest Research Station, U.S. Forest Service, 3625 93rd SW, Olympia, WA 98512, HEMSTROM, Miles A., Pacific Northwest Research Station, U.S. Forest Service, 620 SW Main St, Suite 400, Portland, OR 97205 and BISSON, Peter A., Pacific Northwest Research Station, U.S. Forest Service, 3625 93rd SW, Olympia, WA 98512, Albania, swondzel@fs.fed.us

We developed a series of state and transition models (STMs) to evaluate the effects of natural disturbances and land-use practices on aquatic and riparian habitats in a mountainous stream network in the interior western United States. The STMs consisted of discrete states defined by channel morphology and riparian vegetation. Transitions between states resulted from plant succession and from natural and anthropogenic disturbances. Channel conditions and habitat suitability for anadromous salmonids, based on known habitat associations, were ranked by using a qualitative four-factor scale for each state in the STMs. Disturbance probabilities were varied to define both historical and current disturbance regimes. Models were run for 120 years with the current disturbance regime to illustrate changes associated with Euro-American land management actions, and then run for an additional 50 years under the historical disturbance regime to illustrate the potential for passive recovery. Results suggested that Euro-American development dramatically changed riparian vegetation and channel conditions, which resulted in substantial declines in habitat quality. Passive recovery of channel conditions and habitat suitability was quick in some stream types, but slow in others. Overall, our results underestimated the effects of human land uses on streams and overestimated the rate of recovery under passive restoration because the models do not yet include the effects of multiple management activities, especially those resulting from forest harvest and roads. This project is continuing with further development of the STMs, including integration of STMs with riparian zone mapping and classification techniques based on lidar and other advanced remote-sensing technologies. The long-term objective is to produce a spatially explicit decision support tool for riparian and stream restoration planning.