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Multi-scale modeling of relationships between forest health and climatic factorsAuthor(s): Michael K. Crosby; Zhaofei Fan; Xingang Fan; Martin A. Spetich; Theodor D. Leininger
Source: In Proceedings of the 17th biennial southern silvicultural research conference. e–Gen. Tech. Rep. SRS–203. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 4 p.
Publication Series: Proceedings - Paper (PR-P)
Station: Southern Research Station
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DescriptionForest health and mortality trends are impacted by changes in climate. These trends can vary by species, plot location, forest type, and/or ecoregion. To assess the variation among these groups, Forest Inventory and Analysis (FIA) data were obtained for 10 states in the southeastern United States and combined with downscaled climate data from the Weather Research and Forecasting (WRF) model. A variable was created for analysis at the intersection of ecoregions, climate divisions, and forest type. Spatial autoregressive (SAR) modeling was employed to determine if mortality patterns over two inventory cycles were clustered and differed with climate variables. Models were developed showing the relationship between mortality and a series of climate indicators. This information could prove useful to forest managers if projected climate changes are verified.
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CitationCrosby, Michael K.; Fan, Zhaofei; Fan, Xingang; Spetich, Martin A.; Leininger, Theodor D. 2015. Multi-scale modeling of relationships between forest health and climatic factors. In Proceedings of the 17th biennial southern silvicultural research conference. e–Gen. Tech. Rep. SRS–203. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 4 p.
- Assessing forest mortality patterns using climate and FIA data at multiple scales
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- Updating Indiana Annual Forest Inventory and Analysis Plot Data Using Eastern Broadleaf Forest Diameter Growth Models
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