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Forest overstory-understory relationships in Alabama forests
Institution:1. Rocky Mountain Forest and Range Experiment Station, 240 W. Prospect, Fort Collins, CO 80526, U.S.A.;2. SFA Station, Box 7600, Nacogdoches, TX 75962, U.S.A.;1. Technical University of Munich (TUM), Chair for Forest Growth and Yield Science, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany;2. Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Steyrergasse 17, 8010 Graz, Austria;3. Graz University of Technology, Institute of Remote Sensing and Photogrammetry, Steyrergasse 30, 8010 Graz, Austria;1. State Engineering Laboratory of Efficient Water Use of Crops and Disaster Loss Mitigation/MOA Key Laboratory for Dryland Agriculture, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China;2. Department of Research Management, Chinese Academy of Agricultural Sciences, 100081, PR China;3. Department of Civil and Environmental Engineering, Princeton University, Princeton 08544, USA
Abstract:This study developed regional overstory-understory models for four forest types in southeastern Alabama and tested the ability of these models to predict understory vegetation using overstory data from southern and southwestern Alabama. Cross-sectional data from the USDA Forest Service Forest Inventory and Analysis Unit Multiresource Survey of Alabama was used to analyze the relationship between timber stand characteristics and herbaceous cover under planted pine, natural pine, mixed pine-hardwoods, and upland hardwoods. Herbaceous cover was significantly related to total growing stock volume of timber in all forest types. Stand characteristics and management activities that affected herbaceous cover varied by forest type. The models for planted pine, mixed pine-hardwoods, and upland hardwoods captured a significant amount of the variation in the original data. Extrapolation of southeastern Alabama overstory-understory relationship to southern and southwestern forests was not possible with these models.
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