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Journal of Animal Ecology
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Consistent temperature dependence of functional response parameters and their use in predicting population abundance

Authors: Louise C. Archer; Louise C. Archer; Bruno Gallo; Guy Woodward; Eoin J. O'Gorman; Malte Jochum; Björn C. Rall; +3 Authors

Consistent temperature dependence of functional response parameters and their use in predicting population abundance

Abstract

Abstract 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.

Countries
Germany, United Kingdom, Ireland, Switzerland, Germany
Keywords

05 Environmental Sciences, PREY, 580 Plants (Botany), Global Warming, population dynamics, Climate change, freshwater, CLIMATE-CHANGE, Ecology, Temperature, consumer-resource, Trophic Interactions, TROPHIC INTERACTIONS, climate change, Trophic interactions, predator-prey, Predator-prey, Life Sciences & Biomedicine, 570, Food Chain, Population dynamics, METABOLIC THEORY, aquatic; climate change; consumer-resource; freshwater; population dynamics; predator-prey; predictive modelling; trophic interactions, Consumer-resource, Environmental Sciences & Ecology, FEEDING ECOLOGY, Freshwater, 07 Agricultural and Veterinary Sciences, Animals, trophic interactions, Science & Technology, STABILITY, Predictive modelling, 500, aquatic, PREDATOR, 06 Biological Sciences, BODY-MASS, Aquatic, SIZE, Predatory Behavior, predictive modelling, Zoology, SENTINEL SYSTEMS

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Average
Top 10%
Green
hybrid