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Using functional groups to investigate community response to environmental changes: two grassland case studies

机译:利用职能小组调查社区对环境变化的反应:两个草原案例研究

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摘要

Functional groups (FG) are an useful generalization to investigate environmental change effects on biotic communities. Assigning species to FGs is a contextual task and carries an arbitrary element, regardless of whether the grouping is obtained a priori or by sophisticated numerical methods. Using two grassland community case studies, we show that even simple FG allocation based on growth form, architecture and longevity (plants and mosses), or foraging characteristics (above-ground invertebrates) can be useful to increase our understanding of community processes. For example, the sensitivity of organisms to climate change increases with trophic rank and is higher in disturbed than in undisturbed communities. Complexity of interaction webs (in terms of web connectance), however, is larger in undisturbed than in disturbed communities. A significant and important relationship is likely to exist between anthropogenic disturbances, community complexity and the ecosystem effects of climate change. Trophic interactions may be disrupted much easier by climate changes in disturbed than in undisturbed communities where complexity may be buffering these effects.
机译:官能团(FG)是研究环境变化对生物群落影响的有用概括。将物种分配给FG是一项上下文任务,并且带有任意元素,无论该分组是先验获得还是通过复杂的数值方法获得。通过两个草原社区案例研究,我们表明,即使基于生长形式,建筑和寿命(植物和苔藓)或觅食特性(地上无脊椎动物)的简单FG分配也可以用于增进我们对社区过程的理解。例如,生物对气候变化的敏感性随营养等级的提高而增加,受干扰的生物体比未受干扰的社区要高。但是,交互网络的复杂度(就网络连接性而言)在不受干扰的情况下要比在受干扰的社区中大。人为干扰,社区复杂性和气候变化对生态系统的影响之间可能存在重要而重要的关系。与不受干扰的社区相比,受干扰的气候变化可能会更容易破坏营养相互作用,而在受干扰的社区中,复杂性可能会缓冲这些影响。

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