Petchey Owen L, Beckerman Andrew P, Riede Jens O, Warren Philip H
Department of Animal and Plant Sciences, Alfred Denny Building, University of Sheffield, Western Bank, Sheffield S10 2TN, United Kingdom.
Proc Natl Acad Sci U S A. 2008 Mar 18;105(11):4191-6. doi: 10.1073/pnas.0710672105. Epub 2008 Mar 12.
Understanding what structures ecological communities is vital to answering questions about extinctions, environmental change, trophic cascades, and ecosystem functioning. Optimal foraging theory was conceived to increase such understanding by providing a framework with which to predict species interactions and resulting community structure. Here, we use an optimal foraging model and allometries of foraging variables to predict the structure of real food webs. The qualitative structure of the resulting model provides a more mechanistic basis for the phenomenological rules of previous models. Quantitative analyses show that the model predicts up to 65% of the links in real food webs. The deterministic nature of the model allows analysis of the model's successes and failures in predicting particular interactions. Predacious and herbivorous feeding interactions are better predicted than pathogenic, parasitoid, and parasitic interactions. Results also indicate that accurate prediction and modeling of some food webs will require incorporating traits other than body size and diet choice models specific to different types of feeding interaction. The model results support the hypothesis that individual behavior, subject to natural selection, determines individual diets and that food web structure is the sum of these individual decisions.
了解生态群落的构成对于回答有关物种灭绝、环境变化、营养级联和生态系统功能的问题至关重要。最优觅食理论的提出是为了通过提供一个预测物种相互作用及由此产生的群落结构的框架来增进这种理解。在此,我们使用最优觅食模型和觅食变量的异速生长关系来预测真实食物网的结构。所得模型的定性结构为先前模型的现象学规则提供了更具机制性的基础。定量分析表明,该模型能预测真实食物网中高达65%的联系。模型的确定性使得我们能够分析其在预测特定相互作用时的成功与失败之处。与致病性、寄生性和寄生蜂相互作用相比,捕食性和食草性取食相互作用能得到更好的预测。结果还表明,要准确预测和模拟某些食物网,需要纳入除体型之外的其他特征以及针对不同类型取食相互作用的特定饮食选择模型。模型结果支持这样的假设,即受自然选择影响的个体行为决定个体饮食,而食物网结构是这些个体决策的总和。