Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland.
Ecol Lett. 2018 Dec;21(12):1845-1852. doi: 10.1111/ele.13163. Epub 2018 Oct 1.
The impact of species loss from competitive communities partly depends on how populations of the surviving species respond. Predicting the response should be straightforward using models that describe population growth as a function of competitor densities; but these models require accurate estimates of interaction strengths. Here, we quantified how well we could predict responses to competitor removal in a community of annual plants, using a combination of observation and experiment. It was straightforward to fit models to multi-species communities, which passed standard diagnostic tests and provided apparently sensible estimates of interaction strengths. However, the models consistently underpredicted the response to competitor removal, by a factor of at least 50%. We argue that this poor predictive ability is likely to be general in plant communities due to 'the ghost of competition present' that confines species to parts of the environment in which they compete best.
物种从竞争群落中消失的影响在一定程度上取决于幸存物种的种群如何响应。使用描述种群增长与竞争者密度之间关系的模型来预测这种反应应该很简单;但是这些模型需要对相互作用强度进行准确的估计。在这里,我们通过观察和实验相结合的方式,量化了我们在一年生植物群落中预测对竞争者去除反应的能力。对多物种群落进行模型拟合非常简单,这些模型通过了标准的诊断测试,并提供了相互作用强度的明显合理估计。然而,模型始终低估了对竞争者去除的反应,低估幅度至少为 50%。我们认为,由于“竞争幽灵”的存在,这种较差的预测能力在植物群落中可能是普遍存在的,因为“竞争幽灵”将物种限制在它们竞争最激烈的环境部分。