B24D:
Reducing Uuncertainty in Terrestrial Feedbacks to Climate Change through Global Change Experiments and Models II


Session ID#: 9175

Session Description:
Terrestrial feedbacks to climate change account for a large portion of the uncertainty in climate change projections. This uncertainty has many sources, including uncertainty surrounding changes in soil carbon turnover rates, nutrient limitation of CO2 fertilization, acclimation of warming responses, changes in species composition and disturbance regimes, and more. Many ecosystem experiments are being conducted to better constrain these sources of uncertainty, and model exercises are being conducted to identify which sources of uncertainty might be most important, and most easily constrained.

Submissions to this session are invited from individuals conducting experimental manipulations, model simulations, or model-experiment intercomparisons that seek to reduce uncertainty in terrestrial ecosystem feedbacks to climate change.

Primary Convener:  Jeffrey S Dukes, Purdue University, West Lafayette, IN, United States
Conveners:  Aimee Classen, University of Vermont, Burlington, United States and Peter E Thornton, Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, United States
Chairs:  Jeffrey S Dukes, Purdue University, West Lafayette, IN, United States and Peter E Thornton, Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, United States
OSPA Liaison:  Jeffrey S Dukes, Purdue University, West Lafayette, IN, United States

Cross-Listed:
  • GC - Global Environmental Change
Co-Sponsor(s):
  • IGBP: International Geosphere-Biosphere Programme -

Abstracts Submitted to this Session:

Hanna Lee, Uni Research, Bergen, Norway, Sean C Swenson, NSF National Center for Atmospheric Research, Boulder, United States, David M Lawrence, NSF National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, United States and Andrew G Slater, National Snow and Ice Data Center, Boulder, CO, United States
Kees Jan van Groenigen, University of Exeter, Exeter, United Kingdom
Sasha Reed1, Jayne Belnap2, Scott Ferrenberg2, Timothy Michael Wertin3, Anthony Darrouzet-Nardi4, Colin Tucker5 and William Austin Rutherford6, (1)U.S. Geological Survey, Southwest Biological Science Center, Moab, UT, United States, (2)Southwest Biological Science Center Moab, Moab, UT, United States, (3)University of Illinois at Urbana Champaign, Urbana, IL, United States, (4)University of Texas at El Paso, Biological Sciences, El Paso, United States, (5)Southwest Biological Science Center Moab, Moab, United States, (6)USGS, Southwest Biological Science Center, Canyonlands Research Station, Baltimore, United States
Nicholas G Smith, Texas Tech University, Lubbock, TX, United States and Jeffrey S Dukes, Purdue University, Department of Forestry and Natural Resources, West Lafayette, IN, United States
Kai Zhu1,2, Nona Chiariell01,2, Todd Tobeck1, Tadashi Fukami2 and Christopher B Field1,2, (1)Carnegie Institution for Science Stanford, Stanford, CA, United States, (2)Stanford University, Stanford, CA, United States
J. Adam Langley, Villanova University, Biology and Center for Biodiversity and Ecosystem Stewardship, Villanova, United States, Mark Joseph Hovenden, University of Tasmania, Hobart, TAS, Australia and Sebastian Leuzinger, AUT Auckland University of Technology, Auckland, New Zealand
Simone Fatichi1, Sebastian Leuzinger2, Athanasios Paschalis1, Alicia Donnellan-Barraclough2, Mark Joseph Hovenden3 and J. Adam Langley4, (1)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (2)AUT Auckland University of Technology, Auckland, New Zealand, (3)University of Tasmania, Hobart, TAS, Australia, (4)Villanova University, Biology and Center for Biodiversity and Ecosystem Stewardship, Villanova, United States

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