Models that address the impacts of climate change on forests are revie
wed at four levels of biological organization: global, regional or lan
dscape, community, and tree. The models are compared for their ability
to assess changes in fluxes of biogenic greenhouse gases, land use, p
atterns of forest type or species composition, forest resource product
ivity, 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 have been used to consider mo
re impacts than the other models. The development of landscape vegetat
ion dynamics models of functional groups is suggested as a means to in
tegrate the theory of both landscape ecology and individual tree respo
nses to climate change. Risk assessment methodologies can be adapted t
o deal with the impacts of climate change at various spatial and tempo
ral scales. Four areas of research needing additional effort are ident
ified: (1) linking socioeconomic and ecologic models; (2) interfacing
forest models at different scales; (3) obtaining data on susceptibilit
y of trees and forest to changes in climate and disturbance regimes; a
nd (4) relating information from different scales.