2831 K
53 pp.
 
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TitleAssessing Impacts of Climate Change on Forests: The State of Biological Modeling
Author(s)Dale, V. H.; Rauscher, H. M.
Publication DateApril 06, 1993
Report NumberCONF-9302127--1
Unique IdentifierACC0247
Other NumbersLegacy ID: DE93015916; OSTI ID: 10166129
Research OrgOak Ridge National Laboratory (ORNL), TN (United States); Forest Service, Grand Rapids, MI (United States). North Central Forest Experiment Station
Contract NoAC05-84OR21400
Sponsoring OrgUSDOE, Washington, DC (United States)
Other InformationWorkshop on Integrated Assessments of the Impacts of Climate Change on Natural Resources, San Diego, CA (United States), 28 Feb - 4 Mar 1993
Subject54 Environmental Sciences; 63 Radiation, Thermal, and Other Environmental Pollutant Effects on Living Organisms and Biological Material; Climatic Change; Biological Effects; Forests; Land Use; Greenhouse Effect; Carbon Dioxide; Wild Animals; Habitat; Plant Growth; Comparative Evaluations; Simulation
Related Web PagesDOE Scientists Contribute to 2007 Nobel Peace Prize about Climate Change
AbstractModels that address the impacts to forests of climate change are reviewed by four levels of biological organization: global, regional or landscape, community, and tree. The models are compared as to their ability to assess changes in greenhouse gas flux, land use, maps of forest type or species composition, forest resource productivity, forest health, biodiversity, and wildlife habitat. No one model can address all of these impacts, but landscape transition models and regional vegetation and land-use models consider the largest number of impacts. Developing landscape vegetation dynamics models of functional groups is suggested as a means to integrate the theory of both landscape ecology and individual tree responses to climate change. Risk assessment methodologies can be adapted to deal with the impacts of climate change at various spatial and temporal scales. Four areas of research development are identified: (1) linking socioeconomic and ecologic models, (2) interfacing forest models at different scales, (3) obtaining data on susceptibility of trees and forest to changes in climate and disturbance regimes, and (4) relating information from different scales.
2831 K
53 pp.
 
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