B100
Simulating the future of North American Forests with Next Generation Dynamic Global Vegetation Models
Session ID#: 83820
Session Description:
A new generation of dynamic global vegetation models are being developed, calibrated and applied to North American forests. The new generation of models simulate both fast biophysical and biogeochemical processes and the slower stand dynamics, demography, biogeography and disturbance regimes. The new models are applied at the stand level, as well as at larger scales across different landscapes, and use a variety of observation data to calibrate and constrain the parameters.
This session aims to bring together all those working on modeling the future of North American forests using the next generation of vegetation models, including those improving model design, calibrating model to new study areas in North America, exploring novel approaches to leveraging new observation datasets for model parameterization and evaluation, and practical approaches to embed into land surface models. Implementation of new models on predicting future mass and energy budgets are also proposed to present in this session.
Index Terms:
0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1622 Earth system modeling [GLOBAL CHANGE]
1637 Regional climate change [GLOBAL CHANGE]
Primary Convener: John B Kim, USFS, Pacific Northwest Research Station, Corvallis, OR, United States
Conveners: Christopher J Still, Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States and Yueyang Jiang, Marine Biological Laboratory, Woods Hole, MA, United States
Primary Liaison: John B Kim, USFS, Pacific Northwest Research Station, Corvallis, OR, United States
Resilience of an old-growth coniferous forest in the Pacific Northwest, USA in warmer and drier summers (497637)
Yueyang Jiang1, John B Kim2, Christopher J Still1, Frederick C Meinzer3 and Xiangtao Xu4, (1)Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States, (2)USDA Forest Service Pacific Northwest Research Station, Corvallis, OR, United States, (3)USDA Forest Service, Corvallis, OR, United States, (4)Harvard University, Organismic and Evolutionary Biology, Cambridge, MA, United States
Discretizing diversity: What do two decades of plant functional ecology tell us about parameterizing plants in vegetation models? (519872)
Leander DL Anderegg1, Daniel M Griffith2, Joseph A Berry3, Jeannine Cavender-Bares4, Todd E Dawson5, William J Riley6 and Christopher J Still2, (1)University of California Berkeley, Berkeley, CA, United States, (2)Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States, (3)Carnegie Institution for Science, Global Ecology, Stanford, CA, United States, (4)University of Minnesota, Dept. of Ecology, Evolution and Behavior, Saint Paul, MN, United States, (5)University of California Berkeley, Integrative Biology, Berkeley, CA, United States, (6)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Benchmarking and parameter sensitivity of a vegetation demographic model in a mixed conifer forest of the Sierra Nevada Mountains, California (604505)
Polly Buotte, University of California Berkeley, Berkeley, CA, United States, Lara M Kueppers, University of California Berkeley, Energy and Resources Group, Berkeley, CA, United States, Junyan Ding, Lawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States, Charlie Koven, Earth Sciences Division, Lawrence Berkeley National Laboratory,, Berkeley, CA, United States, Michael Goulden, Univesity of California, Irvine, CA, United States and Chonggang Xu, Los Alamos National Laboratory, Los Alamos, NM, United States
A sink-enabled model explains the inter-annual variability of woody growth in a temperate forest (605948)
Yizhao Chen1, Annemarie H. Eckes1, Tim Tito Rademacher2,3, Andrew D Richardson4, Patrick Fonti5, Jim Le Moine6 and Andrew D Friend1, (1)University of Cambridge, Cambridge, United Kingdom, (2)Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, United States, (3)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, United States, (4)Northern Arizona University, Flagstaff, AZ, United States, (5)Swiss Federal Research Institute WSL, Birmensdorf, Switzerland, (6)Northern Arizona University, Flagstaff, United States
Understanding Forest-Snow Dynamics for Wenatchee Watershed in Canopy Gaps Scenario in a Distributed Hydrologic Model (633401)
Golam Arif Rabbani1, Zhuoran Duan2, Ning Sun3, Miles Lefevre4, Brion Salter5, Nicholas Povak6, Mark S Wigmosta7 and Paul F Hessburg Sr5, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Hydrology, Richland, WA, United States, (3)Pacific Northwest National Lab, Richland, WA, United States, (4)USDA Forest Service, Wenatchee, United States, (5)USDA-Forest Service, Wenatchee, WA, United States, (6)US Forest Service Seattle, Seattle, WA, United States, (7)Pacific Northwest National Laboratory, Energy and Environment Directorate, Richland, WA, United States
