Department of Life Sciences, Imperial College London, London, UK.
School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland.
J Anim Ecol. 2019 Nov;88(11):1670-1683. doi: 10.1111/1365-2656.13060. Epub 2019 Aug 9.
Global warming is one of the greatest threats to the persistence of populations: increased metabolic demands should strengthen pairwise species interactions, which could destabilize food webs at the higher organizational levels. Quantifying the temperature dependence of consumer-resource interactions is thus essential for predicting ecological responses to warming. We explored feeding interactions between different predator-prey pairs in controlled-temperature chambers and in a system of naturally heated streams. We found consistent temperature dependence of attack rates across experimental settings, though the magnitude and activation energy of attack rate were specific to each predator, which varied in mobility and foraging mode. We used these parameters along with metabolic rate measurements to estimate energetic efficiency and population abundance with warming. Energetic efficiency accurately estimated field abundance of a mobile predator that struggled to meet its metabolic demands, but was a poor predictor for a sedentary predator that operated well below its energetic limits. Temperature effects on population abundance may thus be strongly dependent on whether organisms are regulated by their own energy intake or interspecific interactions. Given the widespread use of functional response parameters in ecological modelling, reconciling outcomes from laboratory and field studies increases the confidence and precision with which we can predict warming impacts on natural systems.
代谢需求的增加应该会加强种间相互作用,从而使更高组织层次的食物网不稳定。因此,量化消费者-资源相互作用对温度的依赖关系对于预测对变暖的生态响应至关重要。我们在控温室和自然加热溪流系统中探索了不同捕食者-猎物对之间的摄食相互作用。我们发现,攻击率在实验环境中有一致的温度依赖性,尽管攻击率的幅度和活化能因移动性和觅食模式而异而特定于每种捕食者。我们使用这些参数以及代谢率测量值来估计随着变暖而增加的能量效率和种群丰度。能量效率准确估计了一种难以满足代谢需求的移动捕食者的实地丰度,但对于一种久坐不动的捕食者来说,其预测效果不佳,因为它的能量限制较低。因此,种群丰度对温度的影响可能强烈取决于生物体是受自身能量摄入还是种间相互作用调节的。鉴于功能反应参数在生态建模中的广泛应用,协调实验室和实地研究的结果可以提高我们预测自然系统对变暖影响的信心和精度。