Ecological acclimation: A framework to integrate fast and slow responses to climate change

被引:2
作者
Stemkovski, Michael [1 ,2 ]
Bernhardt, Joey R. [3 ]
Blonder, Benjamin Wong [4 ]
Bradford, John B. [5 ,6 ]
Clark-Wolf, Kyra [7 ]
Dee, Laura E. [8 ]
Evans, Margaret E. K. [9 ]
Iglesias, Virginia [10 ,11 ]
Johnson, Loretta C. [12 ]
Lynch, Abigail J. [13 ]
Malone, Sparkle L. [14 ]
Osborne, Brooke B. [15 ]
Pastore, Melissa A. [16 ]
Paterson, Michael [17 ]
Pinsky, Malin L. [18 ]
Rollinson, Christine R. [19 ]
Selmoni, Oliver [20 ]
Venkiteswaran, Jason J. [21 ]
Walker, Anthony P. [22 ,23 ]
Ward, Nicole K. [24 ]
Williams, John W. [25 ,26 ]
Zarakas, Claire M. [27 ]
Adler, Peter B. [1 ,2 ]
机构
[1] Utah State Univ, Dept Wildland Resources, Logan, UT 84322 USA
[2] Utah State Univ, Ecol Ctr, Logan, UT 84322 USA
[3] Univ Guelph, Dept Integrat Biol, Guelph, ON, Canada
[4] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA USA
[5] US Geol Survey, Northwest Climate Adaptat Sci Ctr, Flagstaff, AZ USA
[6] Southwest Biol Sci Ctr, Flagstaff, AZ USA
[7] Univ Colorado, Cooperat Inst Res Environm Sci, North Cent Climate Adaptat Sci Ctr, Boulder, CO USA
[8] Univ Colorado, Dept Ecol & Evolutionary Biol, Boulder, CO USA
[9] Univ Arizona, Lab Tree Ring Res, Tucson, AZ USA
[10] Univ Colorado, Earth Lab, Boulder, CO USA
[11] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO USA
[12] Kansas State Univ, Div Biol, Manhattan, KS USA
[13] US Geol Survey, Natl Climate Adaptat Sci Ctr, Reston, VA USA
[14] Yale Sch Environm, Yale Ctr Nat Carbon Capture, New Haven, CT USA
[15] Utah State Univ, Dept Environm & Soc, Moab, UT USA
[16] US Forest Serv, USDA, Northern Res Stn, St Paul, MN USA
[17] IISD Expt Lakes Area, Winnipeg, MB, Canada
[18] Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, Santa Cruz, CA USA
[19] Morton Arboretum, Ctr Tree Sci, Lisle, IL USA
[20] Carnegie Inst Sci, Stanford, CA USA
[21] Wilfrid Laurier Univ, Dept Geog & Environm Studies, Waterloo, ON, Canada
[22] Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN USA
[23] Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA
[24] Minnesota Dept Nat Resources, Lake City, MN USA
[25] Univ Wisconsin Madison, Dept Geog, Madison, WI USA
[26] Univ Wisconsin Madison, Ctr Climat Res, Madison, WI USA
[27] Univ Washington, Dept Atmospher Sci, Seattle, WA USA
基金
芬兰科学院;
关键词
climate adaptation; disequilibrium; ecoclimate sensitivity; forecast horizon; lags; nonstationarity; time-scale; transient dynamics; SOIL CARBON; PHENOTYPIC PLASTICITY; ELECTRON-TRANSPORT; TRANSIENT DYNAMICS; ECOSYSTEM DYNAMICS; LOCAL ADAPTATION; CORAL; VEGETATION; MANAGEMENT; RANGE;
D O I
10.1111/1365-2435.70079
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecological responses to climate change occur across vastly different time-scales, from minutes for physiological plasticity to decades or centuries for community turnover and evolutionary adaptation. Accurately predicting the range of ecosystem trajectories will require models that incorporate both fast processes that may keep pace with climate change and slower ones likely to lag behind and generate disequilibrium dynamics. However, the knowledge necessary for this integration is currently fragmented across disciplines. We develop 'ecological acclimation' as a unifying framework to emphasize the similarity of dynamics driven by processes operating on dramatically different time-scales and levels of biological organization. The framework focuses on ecoclimate sensitivities, measured as the change in an ecological response variable per unit of climate change. Acclimation processes acting at different time-scales cause these sensitivities to shift in magnitude and even direction over time. We highlight shifting ecoclimate sensitivities in case studies from diverse ecosystems, including terrestrial plant communities, coral reefs and soil microbiomes. Models predicting future ecosystem states inevitably make assumptions about acclimation processes; these assumptions must be explicit for users to evaluate whether a model is appropriate for a given forecast horizon. Similarly, decision frameworks that clearly account for multiple acclimation processes and their distinct time-scales will help natural resource managers plan for ecological impacts of climate change from years to many decades into the future. We outline a synthetic research programme focused on the time-scales of ecological acclimation to reduce uncertainty in ecological forecasts.Read the free Plain Language Summary for this article on the Journal blog.
引用
收藏
页码:1923 / 1939
页数:17
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