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Design and validation of a spatially explicit simulation model for bottomland hardwood forests
Institution:1. Department of Zoology, University of Wisconsin–Madison, Madison, WI 53706, USA;2. Department of Natural Sciences, Mars Hill College, Mars Hill, NC 28754, USA;1. Ecosystem Science and Management, The Pennsylvania State University, University Park, 16802, USA;2. National Park Service, USA;1. USDA-Agricultural Research Service, Rangeland Resources and Systems Research Unit, Cheyenne, WY, 82009, United States;2. USDA-Agricultural Research Service, Rangeland Resources and Systems Research Unit, Fort Collins, CO, 80526, United States;3. Fish, Wildlife, and Conservation Biology Department, Colorado State University, Fort Collins, CO, 80523, United States;4. Forest and Rangeland Stewardship Department and Natural Resources Ecology Laboratory, Colorado State University, Fort Collins, CO, 80523, United States
Abstract:Species composition in forests depends on the interaction of species traits and species availability. Yet many forest simulation models focus only on interactions of adult trees and saplings, ignoring how species become members of the community. We modify a published forest model for bottomland hardwood forests (program SWAMP Phipps, R.L., 1979. Simulation of wetlands forest vegetation dynamics. Ecol. Modell. 7, 257–288]) to make it spatially explicit and incorporate explicit seed production and dispersal algorithms. The resulting individual-based, spatially explicit forest simulator (YAFSIM) combines mechanistic seed dispersal with growth and mortality of trees to track forest dynamics over time. We describe the structure of the model and test its validity for dynamics in small bottomland hardwood patches in the Mississippi Alluvial Valley. Dynamics of species composition and basal areas of trees predicted by Yazoo Forest Simulator (YAFSIM) were similar to those of natural second- and old-growth bottomland forests. However, diversity of simulated forest patches declined over time largely because of random dynamics acting on small, isolated populations.
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