Using a Dynamic Global Vegetation Model to Help Inform Management Decisions
Dates
Publication Date
2015-09
Citation
Halofsky, Joshua S., Halofsky, Jessica E., Conklin, David R., Bachelet, Dominique, Hemstrom, Miles A., Kerns, Becky K., and Morzillo, Anita T., Using a Dynamic Global Vegetation Model to Help Inform Management Decisions: John Wiley & Sons, Inc.
Summary
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/9781119011705.ch10/summary): This chapter discusses an approach that uses MC1 results to create climate-informed state-and-transition simulation model (cSTSMs) in two contrasting landscapes: dry forests in central Oregon and wet forests in western Washington. The studies presented here examine trends in different socioecological values under different climate and management assumptions using a dynamic global vegetation model/STSM approach. The authors found that simulated management actions did not prevent climate-induced vegetation change. Simulated management did in some cases promote desired forest structures and increase resilience to climate change. The chapter describes [...]
Summary
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/9781119011705.ch10/summary): This chapter discusses an approach that uses MC1 results to create climate-informed state-and-transition simulation model (cSTSMs) in two contrasting landscapes: dry forests in central Oregon and wet forests in western Washington. The studies presented here examine trends in different socioecological values under different climate and management assumptions using a dynamic global vegetation model/STSM approach. The authors found that simulated management actions did not prevent climate-induced vegetation change. Simulated management did in some cases promote desired forest structures and increase resilience to climate change. The chapter describes in detail the method that uses MC1 projections to create climate-informed STSMs. Finally, it explains the potential improvements and applications for future work, including a fully integrated approach using both the direct effect of climate change on vegetation and indirect effects of human activities, including changes in land use.
