Department of Ecology, Swedish University of Agricultural Sciences, Box 7044, SE-75007, Uppsala, Sweden.
Ecological Modelling group, School of Bioscience, University of Skövde, Box 408, SE-54128, Skövde, Sweden.
Ecol Lett. 2018 May;21(5):702-712. doi: 10.1111/ele.12938. Epub 2018 Mar 25.
Food web models parameterised using body size show promise to predict trophic interaction strengths (IS) and abundance dynamics. However, this remains to be rigorously tested in food webs beyond simple trophic modules, where indirect and intraguild interactions could be important and driven by traits other than body size. We systematically varied predator body size, guild composition and richness in microcosm insect webs and compared experimental outcomes with predictions of IS from models with allometrically scaled parameters. Body size was a strong predictor of IS in simple modules (r = 0.92), but with increasing complexity the predictive power decreased, with model IS being consistently overestimated. We quantify the strength of observed trophic interaction modifications, partition this into density-mediated vs. behaviour-mediated indirect effects and show that model shortcomings in predicting IS is related to the size of behaviour-mediated effects. Our findings encourage development of dynamical food web models explicitly including and exploring indirect mechanisms.
基于体型参数化的食物网模型有望预测营养相互作用强度(IS)和丰度动态。然而,这在体型以外的其他特征驱动的、具有间接和种内相互作用的复杂食物网中,仍需要严格检验。我们在微宇宙昆虫网中系统地改变了捕食者体型、 guild 组成和丰富度,并将实验结果与具有比例参数的模型的 IS 预测进行了比较。体型是简单模块中 IS 的一个强有力的预测因子(r=0.92),但随着复杂性的增加,预测能力下降,模型 IS 始终被高估。我们量化了观察到的营养相互作用修饰的强度,将其分为密度介导的与行为介导的间接效应,并表明模型在预测 IS 方面的不足与行为介导效应的大小有关。我们的发现鼓励开发明确包含和探索间接机制的动态食物网模型。