J.F. Blumenbach Institute of Zoology and Anthropology, University of Göttingen, Berliner Strasse 28, 37073 Göttingen, Germany.
Philos Trans R Soc Lond B Biol Sci. 2012 Nov 5;367(1605):2923-34. doi: 10.1098/rstb.2012.0242.
Knowledge of feeding rates is the basis to understand interaction strength and subsequently the stability of ecosystems and biodiversity. Feeding rates, as all biological rates, depend on consumer and resource body masses and environmental temperature. Despite five decades of research on functional responses as quantitative models of feeding rates, a unifying framework of how they scale with body masses and temperature is still lacking. This is perplexing, considering that the strength of functional responses (i.e. interaction strengths) is crucially important for the stability of simple consumer-resource systems and the persistence, sustainability and biodiversity of complex communities. Here, we present the largest currently available database on functional response parameters and their scaling with body mass and temperature. Moreover, these data are integrated across ecosystems and metabolic types of species. Surprisingly, we found general temperature dependencies that differed from the Arrhenius terms predicted by metabolic models. Additionally, the body-mass-scaling relationships were more complex than expected and differed across ecosystems and metabolic types. At local scales (taxonomically narrow groups of consumer-resource pairs), we found hump-shaped deviations from the temperature and body-mass-scaling relationships. Despite the complexity of our results, these body-mass- and temperature-scaling models remain useful as a mechanistic basis for predicting the consequences of warming for interaction strengths, population dynamics and network stability across communities differing in their size structure.
对摄食率的了解是理解相互作用强度以及生态系统和生物多样性稳定性的基础。摄食率与所有生物率一样,取决于消费者和资源的体重以及环境温度。尽管对功能反应(作为摄食率的定量模型)进行了五十年的研究,但它们与体重和温度的缩放比例仍然缺乏统一的框架。这令人困惑,因为功能反应的强度(即相互作用强度)对于简单的消费者-资源系统的稳定性以及复杂群落的持久性、可持续性和生物多样性至关重要。在这里,我们提供了目前关于功能反应参数及其与体重和温度的缩放关系的最大数据库。此外,这些数据是跨生态系统和物种代谢类型整合的。令人惊讶的是,我们发现了与代谢模型预测的阿累尼乌斯项不同的一般温度依赖性。此外,体重缩放关系比预期的更复杂,并且在不同的生态系统和代谢类型之间存在差异。在局部尺度(消费者-资源对的分类狭窄组)上,我们发现偏离温度和体重缩放关系的驼峰形状偏差。尽管我们的结果很复杂,但这些体重和温度缩放模型仍然可以作为预测变暖对不同大小结构群落的相互作用强度、种群动态和网络稳定性的影响的机制基础。