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

Archer, Louise C and Sohlström, Esra H and Gallo, Bruno and Jochum, Malte and Woodward, Guy and Kordas, Rebecca L and Rall, Björn C and O'Gorman, Eoin J (2019) 'Consistent temperature dependence of functional response parameters and their use in predicting population abundance.' Journal of Animal Ecology. ISSN 0021-8790

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Abstract

1. Global warming is one of the greatest threats to the persistence of populations: increased metabolic demands should strengthen pairwise species interactions, which could destabilise food webs at the higher organisational levels. Quantifying the temperature dependence of consumer‐resource interactions is thus essential for predicting ecological responses to warming. 2. We explored feeding interactions between different predator‐prey pairs in temperature‐controlled 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 was specific to each predator, which varied in mobility and foraging mode. 3. 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. 4. 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.

Item Type: Article
Uncontrolled Keywords: climate change, consumer-resource, predator-prey, trophic interactions, aquatic, freshwater, population dynamics, predictive modelling
Divisions: Faculty of Science and Health > Life Sciences, School of
Depositing User: Elements
Date Deposited: 07 Aug 2019 08:44
Last Modified: 09 Aug 2019 09:15
URI: http://repository.essex.ac.uk/id/eprint/25115

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