UNC-Chapel Hill GEOG 801 - Below-Ground Processes in Gap Models for Simulating Forest Response to Global Change (25 pages)

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Below-Ground Processes in Gap Models for Simulating Forest Response to Global Change



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Below-Ground Processes in Gap Models for Simulating Forest Response to Global Change

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Pages:
25
School:
University of North Carolina at Chapel Hill
Course:
Geog 801 - Earth System Sciences/Physical Geography Research Seminar

Unformatted text preview:

BELOW GROUND PROCESSES IN GAP MODELS FOR SIMULATING FOREST RESPONSE TO GLOBAL CHANGE STAN D WULLSCHLEGER 1 ROBERT B JACKSON 2 WILLIAM S CURRIE 3 ANDREW D FRIEND 4 YIQI LUO 5 FLORENT MOUILLOT 6 YUDE PAN 7 and GUOFAN SHAO 8 1 Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge TN 37831 6422 U S A E mail wullschlegsd ornl gov 2 Department of Botany and Nicholas School of the Environment Phytotron Building Duke University Durham NC 27708 U S A 3 Appalachian Laboratory Frostburg MD 21532 2307 U S A 4 Center for Environmental Prediction Rutgers University New Brunswick NJ 08901 U S A at NASA Goddard Institute for Space Studies New York NY 10025 U S A 5 Department of Botany and Microbiology University of Oklahoma Norman OK 73019 0245 U S A 6 Dynamique R actionnelle des Ecosyst mes Analyse spatiale et Mod lisation Unit CEFE CNRS F 34293 Montpellier cedex 5 France and Univ Corse Cevaren 20250 Corte France 7 USDA Forest Service Global Change Research Newtown Square Corporate Campus Newtown Square PA 19073 U S A 8 Department of Forestry and Natural Resources Purdue University West Lafayette IN 47907 1159 U S A Abstract Gap models have a rich history of being used to simulate individual tree interactions that impact species diversity and patterns of forest succession Questions arise however as to whether these same models can be used to study the response of forest structure and composition under a changing climate In contrast to many process based models gap models have traditionally been based on rather descriptive representations of species specific growth processes Opportunities now exist to expand upon these simple empirical relationships with more mechanistic descriptions of growth the response of growth to environmental variables and competition among species for available light water and nutrient resources In this paper we focus on several areas of below ground research with the potential to improve the utility of gap models for predicting forest



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