CLAMS
The goals of the CLAMS project are to develop and evaluate concepts and tools to understand pattern and dynamics of provincial ecosystems and to analyze the aggregate ecological and socio-economic consequences of different forest policies and strategies across multiple ownerships of the province. The study area is the Oregon Coast Range Physiographic Province, which contains all of the Coast Range hydrological province and part of the Willamette hydrological province. Our approach is based on the assumption that by knowing landscape structure and dynamics of vegetation we can project consequences of different forest policies on ecological outputs such as biological diversity and socio-economic outputs, such as employment and recreational opportunities. The major steps in our approach are:1. Build high resolution spatial models (grain size of 0.1 to 10 ha) of current biophysical conditions (e.g. vegetation, ownership patterns, topography, streams) across all ownerships using Landsat TM satellite imagery, forest inventory plots, and other GIS layers. 2. Conduct surveys and interviews of forest landowners to determine their expected management intentions (e.g. rotation ages, thinning regimes, riparian management intensity) under current policies and develop spatial land use change models based on retrospective studies. 3. Simulate expected successional changes in forest structure and composition under different management regimes using ORGANON and ZELIG stand dynamics models. 4. Build a landscape change simulation system based on forest management intentions and forest stand models to project future landscape structure for 100-200 years. 5. Develop habitat suitability models for selected terrestrial and aquatic vertebrate species, coarse filter measures of community and landscape conditions, historical range of natural variation of forest successional stages, and landslide and debris flow potential, and geomorphic dynamics. 6. Develop socio-economic response models for measures of employment and income by economic sector, timber value and production using IMPLAN; develop recreational opportunity spectrum models, and contingent value of biological diversity to the public. 7. Build landuse change models that are based on historical FIA data and driven by estimates of population change. 8. Estimate ecological and socio-economic consequences of current forest policies using the landscape simulator and the various response models. 9. Include outside influences such as effects of population growth on land use change. 10. Evaluate, test, and revise overall simulator system and sub-models. 11. Provide policy makers, landowners, and the public with results of spatial projections of consequences and interact with them to help inform debate and facilitate collaborative learning. Current policies and alternative policies will be simulated for all ownerships. Our approach to selecting alternative policies is to consult with agencies and landowners, especially the Oregon Department of Forestry's Policy Advisory Group for the State's Forestry Program for Oregon. Based on input from these groups and assessment of our capabilities, we have chosen several alternatives to examine that deal with private lands. We plan to consult with Federal and State managers to determine what policy alternatives, if any, they might be interested in us examining.
http://www.fsl.orst.edu/clams/ (No Longer Available)
Biodiversity Conservation
Forest Management
Land Use Planning
Silviculture
Timber Harvesting
Impact Assessment
Suitability Assessment
Oregon Coastal Landscape Analysis Project
Conservation Of Biodiversity
Forest Succession Modeling
Habitat Suitability
Land Use Allocation
Land Use Change
Landscape Analysis And Modeling
Management Process Modeling
Socioeconomic System Modeling
Vegetation Management
Condition Analysis And Assessment
Domain Knowledge Process Model Development
Scenario Simulation And Comparison
Visualization
Optimization Methods
Simulation
Trade-Off Analysis
Report Generation
Scenario Management And Comparison
Visualization
Biophysical Process
Economic Process
Management Process
Social Process
Graph
Map
Map Image
Regional Extent
Subregional Extent
Individual Object
Patch
Subregion
true
Forest Age Classes Or Successional Stages
Forest Fragmentation
Forest Management Classes
Species Diversity
Species Viability
true
false
true
Not Priced
Prototype Being Applied
Pacific Northwest Research Station, Forestry Sciences Laboratory
National Commission On Science For Sustainable Forestry
Thomas A. Spies
Sean Gordon
Software Tools And Models - All
Spatial Decision Support Systems
- biodiversity measures are some of the core outputs of the tool- forest stand structure is used to model the effects of forest practices on habitat for 17 focal species- population viability is modeled for one species (Northern spotted owl)- landslide/debris flow as a process diversity measure
Martin Wong
10/5/2009
6/5/2008
Condition Analysis And Assessment
Decision Alternatives Generation, Scenario Simulation
Domain Knowledge Modeling
Visualization
Spatial Decision Support Systems
Development Process
Timber Harvest Process
Evaluative Models
Simulation Models