Modeling potential future individual tree-species distributions in the eastern United States under a climate change scenario: a case study with Pinus virginiana.
Authors:
Iverson, L.R. Prasad, A. Schwartz, M.W. USDA, FS
Source:
Ecological modelling. 1999 Feb. 1, v. 115, issue 1, p. 77-93.
NALT Subjects:
forest trees Pinus virginiana phytogeography geographical distribution forest ecology landscape ecology climate change elevated atmospheric gases carbon dioxide mathematical models stochastic processes forest stands botanical composition Eastern United States
Other Subjects:
regression tree analysis deterministic regression tree analysis model stochastic migration model
Issue Date:
1-Feb-1999
Abstract:
We are using a deterministic regression tree analysis model (DISTRIB) and a stochastic migration model (SHIFT) to examine potential distributions of approximately 66 individual species of eastern US trees under a 2xCO2 climate change scenario. This process is demonstrated for Virginia pine (Pinus virginiana). USDA Forest Service Forest Inventory and Analysis data for more than 100 000 plots and nearly 3 million trees east of the 100th meridian were analyzed and aggregated to the county level to provide species importance values for each of more than 2100 counties. County-level data also were compiled on climate, soils, land use, elevation, and spatial pattern. Regression tree analysis (RTA) was used to devise prediction rules from current species-environment relationships, which were then used to replicate the current distribution and predict the potential future distributions under two scenarios of climate change (2xCO2). RTA allows different variables to control importance value predictions at different regions, e.g. at the northern versus southern range limits of a species. RTA outputs represent the potential 'environmental envelope' shifts required by species, while the migration model predicts the more realistic shifts based on colonization probabilities from varying species abundances within a fragmented landscape. The model shows severely limited migration in regions of high forest fragmentation, particularly when the species is low in abundance near the range boundary. These tools are providing mechanisms for evaluating the relationships among various environmental and landscape factors associated with tree-species importance and potential migration in a changing global climate.
