Predicting ecosystem stability from community composition and biodiversity
Predicting ecosystem stability from community composition and biodiversity
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DOI：
10.1111/ele.12088
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发表时间：
2013-05-01
期刊：
影响因子：
8.8
通讯作者：
Loreau, Michel
中科院分区：
文献类型：
--
作者：
de Mazancourt, Claire;Isbell, Forest;Loreau, Michel
由于生物多样性正在以前所未有的速度下降，当前的一个重要科学挑战是了解和预测生物多样性丧失的后果。在这里，我们开发了一个理论，预测的时间变化的群落生物量的单个组成物种在单一栽培的属性。我们的理论表明，生物多样性通过三个主要机制来稳定生态系统：（1）物种对环境波动的反应，（2）由于物种混合物的过度生产而减少人口统计随机性，（3）减少观测误差（包括空间和采样变异性）。参数化的经验数据，从四个长期的草原生物多样性实验，我们的预测解释了2275%的观测到的变化，并捕获了物种丰富度的影响。丰富稳定社区主要是通过增加社区生物量和减少人口统计随机性的强度。我们的方法要求重新评估解释生物多样性对生态系统稳定性影响的机制。
As biodiversity is declining at an unprecedented rate, an important current scientific challenge is to understand and predict the consequences of biodiversity loss. Here, we develop a theory that predicts the temporal variability of community biomass from the properties of individual component species in monoculture. Our theory shows that biodiversity stabilises ecosystems through three main mechanisms: (1) asynchrony in species' responses to environmental fluctuations, (2) reduced demographic stochasticity due to overyielding in species mixtures and (3) reduced observation error (including spatial and sampling variability). Parameterised with empirical data from four long-term grassland biodiversity experiments, our prediction explained 2275% of the observed variability, and captured much of the effect of species richness. Richness stabilised communities mainly by increasing community biomass and reducing the strength of demographic stochasticity. Our approach calls for a re-evaluation of the mechanisms explaining the effects of biodiversity on ecosystem stability.