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Coastal Landscape Analysis And Modeling System

Simulate and analyze the aggregate ecological, economic, and social consequences of potential forest practices of different land owners in the Oregon Coast Range over a 100 year time span.

Supports Analysis Of Interdisciplinary Interactions



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.

Last Updated (No Longer Available)

Systems Functional Components

Biodiversity Conservation

Forest Management

Land Use Planning


Timber Harvesting

Tool Maker

Impact Assessment

Suitability Assessment

Model Type

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

For Application Domains

Condition Analysis And Assessment

Domain Knowledge Process Model Development

Scenario Simulation And Comparison


Analysis Extent

Optimization Methods


Trade-Off Analysis

Used In Case Studies

Report Generation

Scenario Management And Comparison


Model Type

Biophysical Process

Economic Process

Management Process

Social Process

Parent Categories



Map Image

Glossary Display Property

Regional Extent

Subregional Extent

Contact Person

Individual Object



Planning And Decision Process Phases/Steps Served


Domain Knowledge Modeling Area

Forest Age Classes Or Successional Stages

Forest Fragmentation

Forest Management Classes

Species Diversity

Species Viability

Methods And Techniques Implemented


Output Type


Last Updated


Output Type

Not Priced

Analysis Unit

Prototype Being Applied

Planning And Decision Process Phases/Steps Served

Pacific Northwest Research Station, Forestry Sciences Laboratory


National Commission On Science For Sustainable Forestry

Analysis Unit

Thomas A. Spies

Analysis Unit

Sean Gordon

Developer Assistance Needed For Installation/Configuration

Software Tools And Models - All

Spatial Decision Support Systems

Indicators Used

- 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

Indicators Used



Decision Process Activity Types Served

Condition Analysis And Assessment

Decision Alternatives Generation, Scenario Simulation

Domain Knowledge Modeling


Decision Problem Types Targeted

Spatial Decision Support Systems

Accepts Data Of Process Types

Development Process

Timber Harvest Process


Evaluative Models

Simulation Models

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