SYSU-Alberta Joint Lab for Biodiversity Conservation, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-sen University, Building No. 408, No. 135, Xingangxi Road, Guangzhou 510275, China.
Department of Wildland Resources and the Ecology Center, Utah State University, Logan, Utah 84322, USA.
Nat Commun. 2016 Jun 8;7:11766. doi: 10.1038/ncomms11766.
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.
理论预测,当竞争者之间的生态位差异较小时,环境变化的强烈间接影响将对群落产生影响,而竞争者所经历的直接影响的变化较大时,这种影响更为明显,但缺乏实证检验。在这里,我们估计了负频率依赖性,这是生态位差异的一个指标,并量化了气候变化对每个物种的直接和间接影响。与理论一致的是,在五个群落中的四个群落中,间接效应在表现出较弱负频率依赖性的物种中最强。在直接效应变化较大的群落中,间接效应也更强。对气候干扰的总体反应主要是由直接效应驱动的,这表明在这些群落中,单一物种模型可能足以预测气候变化的影响。