Approach
Replace plant association group/habitat typing with an index based on biophysical variables.
Tactics
- Identify a set of biophysical predictors related to habitat types
- site productivity
- vegetation composition
- and structure. Possible predictors include landform
- soil depth
- texture
- type
- actual and potential evapotranspiration
- and water balance defici
- Predict site productivity based on biophysical predictors; make concept operationally implementable so it can be used to support planting decisions
- and aid understanding of long-term effects of management and long-term goals for a site.
Citation
Halofsky, J.E.; Peterson, D.L.; Dante-Wood, S.K.; Hoang, L.; Ho, J.J.; Joyce, L.A., eds. (2018). Climate change vulnerability and adaptation in the Northern Rocky Mountains. Gen. Tech. Rep. RMRS-GTR-374. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station., Halofsky, J.E.; Warziniack, T.W.; Peterson, D.L.; Ho, J.J. (2017). Understanding and managing the effects of climate change on ecosystem services in the Rocky Mountains. Mountain Research and Development. 37: 340–352. https://doi.org/10.1659/MRD-JOURNAL-D-16-00087.1.,