Skip to Main Content
Assessing stand-level climate change risk using forest inventory data and species distribution modelsAuthor(s): Maria K. Janowiak; Louis R. Iverson; Jon Fosgitt; Stephen D. Handler; Matt Dallman; Scott Thomasma; Brad Hutnik; Christopher W. Swanston
Source: Journal of Forestry
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
View PDF (561.0 KB)
DescriptionClimate change is having important effects on forest ecosystems, presenting a challenge for natural resource professionals to reduce climate-associated impacts while still achieving diverse management objectives. Regional projections of climate change and forest response are becoming more readily available, but managers are still searching for practical ways to apply this information. We propose that commonly collected forest inventory data be used in conjunction with species distribution models to better understand the potential response of forests to climate change and inform management at the site level. In this article, we propose a new climate risk metric that incorporates stand-level forest inventory data with projections of tree species habitat from the Climate Change Tree Atlas. This climate risk metric can serve as a starting point for managers to consider how forests may be altered by climate change. We also describe two examples of how this metric was used in real-world management situations.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationJanowiak, Maria K.; Iverson, Louis R.; Fosgitt, Jon; Handler, Stephen D.; Dallman, Matt; Thomasma, Scott; Hutnik, Brad; Swanston, Christopher W. 2017. Assessing stand-level climate change risk using forest inventory data and species distribution models. Journal of Forestry. 115(3): 222-229. https://doi.org/10.5849/jof.2016-023R1.
Keywordsadaptation, climate change, management, measurement
- Quantitative metrics for assessing predicted climate change pressure on North American tree species
- Projecting the global distribution of the emerging amphibian fungal pathogen, batrachochytrium dendrobatidis, based on IPCC climate futures
- A risk-based approach to evaluating wildlife demographics for management in a changing climate: A case study of the Lewis's Woodpecker
XML: View XML