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Coordinated approaches to quantify long‐term ecosystem dynamics in response to global change
Authors:YIQI LUO  JERRY MELILLO  SHULI NIU  CLAUS BEIER  JAMES S. CLARK  AIMÉE T. CLASSEN  ERIC DAVIDSON  JEFFREY S. DUKES  R. DAVE EVANS  CHRISTOPHER B. FIELD  CLAUDIA I. CZIMCZIK  MICHAEL KELLER  BRUCE A. KIMBALL  LARA M. KUEPPERS  RICHARD J. NORBY  SHANNON L. PELINI  ELISE PENDALL  EDWARD RASTETTER  JOHAN SIX  MELINDA SMITH  MARK G. TJOELKER  MARGARET S. TORN
Affiliation:1. Department of Botany and Microbiology, University of Oklahoma, Norman, OK 73069, USA;2. The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543, USA;3. Ris? National Laboratory for Sustainable Energy, Biosystems Department, Technical University of Denmark – DTU, DK‐4000 Roskilde, Denmark;4. Department of Biology & Nicholas School of the Environment, Duke University, Durham, NC 27708, USA;5. Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, USA;6. Woods Hole Research Center, Falmouth, MA 02540, USA;7. Purdue University Department of Forestry and Natural Resources and Department of Biological Sciences, Purdue University, West Lafayette, IN 47907‐2061, USA;8. School of Biological Sciences, Washington State University, Pullman, WA 99164, USA;9. Department of Global Ecology, Carnegie Institution of Washington, Stanford, CA 94305, USA;10. Department of Earth System Science, University of California, Irvine, CA 92697, USA;11. National Ecological Observatory Network Inc., Boulder, CO 80301, USA;12. U.S. Arid‐Land Agricultural Research Center, Agricultural Research Service, US Department of Agriculture, Maricopa, AZ 85018, USA;13. School of Natural Sciences, University of California, Merced, CA 95343, USA;14. Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA;15. Harvard Forest, Harvard University, Petersham, MA 01366, USA;16. Department of Botany, University of Wyoming, Laramie, WY 82071, USA;17. Department of Plant Sciences, University of California, Davis, CA 95616, USA;18. Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA;19. Department of Ecosystem Science and Management, Texas A & M University, College Station, TX 77843‐2138, USA;20. Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Abstract:Many serious ecosystem consequences of climate change will take decades or even centuries to emerge. Long‐term ecological responses to global change are strongly regulated by slow processes, such as changes in species composition, carbon dynamics in soil and by long‐lived plants, and accumulation of nutrient capitals. Understanding and predicting these processes require experiments on decadal time scales. But decadal experiments by themselves may not be adequate because many of the slow processes have characteristic time scales much longer than experiments can be maintained. This article promotes a coordinated approach that combines long‐term, large‐scale global change experiments with process studies and modeling. Long‐term global change manipulative experiments, especially in high‐priority ecosystems such as tropical forests and high‐latitude regions, are essential to maximize information gain concerning future states of the earth system. The long‐term experiments should be conducted in tandem with complementary process studies, such as those using model ecosystems, species replacements, laboratory incubations, isotope tracers, and greenhouse facilities. Models are essential to assimilate data from long‐term experiments and process studies together with information from long‐term observations, surveys, and space‐for‐time studies along environmental and biological gradients. Future research programs with coordinated long‐term experiments, process studies, and modeling have the potential to be the most effective strategy to gain the best information on long‐term ecosystem dynamics in response to global change.
Keywords:climate change  data assimilation  earth system  experimentation  global change  process study  terrestrial ecosystems
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