Community and Conservation Ecology Group, Centre for Ecological and Evolutionary Studies, University of Groningen, PO Box 11103, 9700 CC Groningen, The Netherlands.
J Anim Ecol. 2011 Mar;80(2):484-94. doi: 10.1111/j.1365-2656.2010.01787.x. Epub 2010 Dec 14.
1. To address effects of land use and human overexploitation on wildlife populations, it is essential to better understand how human activities have changed species composition, diversity and functioning. Theoretical studies modelled how network properties change under human-induced, non-random species loss. However, we lack data on realistic species-loss sequences in threatened, real-world food webs to parameterize these models. 2. Here, we present a first size-structured topological food web of one of the most pristine terrestrial ecosystems in the world, the Serengeti ecosystem (Tanzania). The food web consists of 95 grouped nodes and includes both invertebrates and vertebrates ranging from body masses between 10(-7) and 10(4) kg. 3. We study the topological changes in this food web that result from the simulated IUCN-based species-loss sequence representing current species vulnerability to human disturbances in and around this savanna ecosystem. We then compare this realistic extinction scenario with other extinction sequences based on body size and connectance and perform an analysis of robustness of this savanna food web. 4. We demonstrate that real-world species loss in this case starts with the biggest (mega) herbivores and top predators, causing higher predator-prey mass ratios. However, unlike theoretically modelled linear species deletion sequences, this causes poor-connected species to be lost first, while more highly connected species become lost as human impact progresses. This food web shows high robustness to decreasing body size and increasing connectance deletion sequences compared with a high sensitivity to the decreasing connectance deletion scenario. 5. Furthermore, based on the current knowledge of the Serengeti ecosystem, we discuss how the focus on food web topology alone, disregarding nontrophic interactions, may lead to an underestimation of human impacts on wildlife communities, with the number of trophic links affected by a factor of two. 6. This study underlines the importance of integrative efforts between the development of food web theory and basic field work approaches in the quantification of the structure of interaction networks to sustain natural ecosystems in a changing world.
为了解决土地利用和人类过度开发对野生动物种群的影响,必须更好地了解人类活动如何改变物种组成、多样性和功能。理论研究模拟了在人类诱导的非随机物种损失下网络属性如何变化。然而,我们缺乏有关受威胁的现实世界食物网中实际物种损失序列的数据,无法对这些模型进行参数化。
在这里,我们首次提出了世界上最原始的陆地生态系统之一——塞伦盖蒂生态系统(坦桑尼亚)的结构化拓扑食物网。该食物网由 95 个分组节点组成,包括无脊椎动物和脊椎动物,其体重范围从 10(-7) 到 10(4) 千克。
我们研究了由于模拟的 IUCN 基于物种损失序列而导致的这种食物网的拓扑变化,该序列代表了当前该稀树草原生态系统内外的物种对人类干扰的脆弱性。然后,我们将这种现实的灭绝情景与基于体型和连接度的其他灭绝序列进行比较,并对这种稀树草原食物网的稳健性进行分析。
我们证明,在这种情况下,现实世界中的物种损失首先从最大的(巨型)食草动物和顶级捕食者开始,导致捕食者-猎物的质量比更高。然而,与理论上模拟的线性物种删除序列不同,这会导致连接较差的物种首先丢失,而随着人类影响的进展,连接度更高的物种会丢失。与对连接度删除场景的高敏感性相比,这种食物网对降低体型和增加连接度删除序列具有较高的稳健性。
此外,根据对塞伦盖蒂生态系统的现有了解,我们讨论了仅关注食物网拓扑结构而忽略非营养相互作用,可能会导致对野生动物群落受人类影响的低估,受影响的营养联系数量增加了一倍。
这项研究强调了在一个变化的世界中,为了维持自然生态系统,需要将食物网理论的发展与基本的实地工作方法相结合,以量化相互作用网络的结构。