Direct effects dominate responses to climate perturbations in grassland plant communities

被引:35
作者
Chu, Chengjin [1 ,2 ,3 ,4 ]
Kleinhesselink, Andrew R. [3 ,4 ]
Havstad, Kris M. [5 ]
McClaran, Mitchel P. [6 ]
Peters, Debra P. [5 ]
Vermeire, Lance T. [7 ]
Wei, Haiyan [6 ]
Adler, Peter B. [3 ,4 ]
机构
[1] Sun Yat Sen Univ, SYSU Alberta Joint Lab Biodivers Conservat, State Key Lab Biocontrol & Sch Life Sci, Bldg 408,135 Xingangxi Rd, Guangzhou 510275, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Life Sci, Bldg 408,135 Xingangxi Rd, Guangzhou 510275, Guangdong, Peoples R China
[3] Utah State Univ, Dept Wildland Resources, Logan, UT 84322 USA
[4] Utah State Univ, Ctr Ecol, Logan, UT 84322 USA
[5] New Mexico State Univ, ARS, USDA, Jornada Expt Range & Jornada Basin Long Term Ecol, Las Cruces, NM 88003 USA
[6] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ 85721 USA
[7] USDA ARS, Ft Keogh Livestock & Range Res Lab, Miles City, MT 59301 USA
来源
NATURE COMMUNICATIONS | 2016年 / 7卷
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
INTEGRAL PROJECTION MODELS; SPECIES INTERACTIONS; GLOBAL CHANGE; COEXISTENCE; PRAIRIE; VARIABILITY; COMPETITION; MECHANISMS; DEMOGRAPHY; FRAMEWORK;
D O I
10.1038/ncomms11766
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Theory predicts that strong indirect effects of environmental change will impact communities when niche differences between competitors are small and variation in the direct effects experienced by competitors is large, but empirical tests are lacking. Here we estimate negative frequency dependence, a proxy for niche differences, and quantify the direct and indirect effects of climate change on each species. Consistent with theory, in four of five communities indirect effects are strongest for species showing weak negative frequency dependence. Indirect effects are also stronger in communities where there is greater variation in direct effects. Overall responses to climate perturbations are driven primarily by direct effects, suggesting that single species models may be adequate for forecasting the impacts of climate change in these communities.
引用
收藏
页数:10
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