Literature DB >> 26854767

Crossing regimes of temperature dependence in animal movement.

Jean P Gibert1, Marie-Claire Chelini1, Malcolm F Rosenthal1, John P DeLong1.   

Abstract

A pressing challenge in ecology is to understand the effects of changing global temperatures on food web structure and dynamics. The stability of these complex ecological networks largely depends on how predator-prey interactions may respond to temperature changes. Because predators and prey rely on their velocities to catch food or avoid being eaten, understanding how temperatures may affect animal movement is central to this quest. Despite our efforts, we still lack a mechanistic understanding of how the effect of temperature on metabolic processes scales up to animal movement and beyond. Here, we merge a biomechanical approach, the Metabolic Theory of Ecology and empirical data to show that animal movement displays multiple regimes of temperature dependence. We also show that crossing these regimes has important consequences for population dynamics and stability, which depend on the parameters controlling predator-prey interactions. We argue that this dependence upon interaction parameters may help explain why experimental work on the temperature dependence of interaction strengths has so far yielded conflicting results. More importantly, these changes in the temperature dependence of animal movement can have consequences that go well beyond ecological interactions and affect, for example, animal communication, mating, sensory detection, and any behavioral modality dependent on the movement of limbs. Finally, by not taking into account the changes in temperature dependence reported here we might not be able to properly forecast the impact of global warming on ecological processes and propose appropriate mitigation action when needed.
© 2016 John Wiley & Sons Ltd.

Keywords:  activation energy; animal movement; biomechanics; interaction strengths; metabolic theory; temperature sensitivity; warming

Mesh:

Year:  2016        PMID: 26854767     DOI: 10.1111/gcb.13245

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  8 in total

1.  Nonlinear changes in selection on a mating display across a continuous thermal gradient.

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Journal:  Proc Biol Sci       Date:  2019-07-24       Impact factor: 5.349

2.  Protist Predation Influences the Temperature Response of Bacterial Communities.

Authors:  Jennifer D Rocca; Andrea Yammine; Marie Simonin; Jean P Gibert
Journal:  Front Microbiol       Date:  2022-04-07       Impact factor: 5.640

3.  The combined effects of reactant kinetics and enzyme stability explain the temperature dependence of metabolic rates.

Authors:  J P DeLong; J P Gibert; T M Luhring; G Bachman; B Reed; A Neyer; K L Montooth
Journal:  Ecol Evol       Date:  2017-04-23       Impact factor: 2.912

4.  Temperature alters the shape of predator-prey cycles through effects on underlying mechanisms.

Authors:  John P DeLong; Shelby Lyon
Journal:  PeerJ       Date:  2020-06-19       Impact factor: 2.984

5.  Temperature directly and indirectly influences food web structure.

Authors:  Jean P Gibert
Journal:  Sci Rep       Date:  2019-03-29       Impact factor: 4.379

6.  Increasing temperature weakens the positive effect of genetic diversity on population growth.

Authors:  Alexandra L Singleton; Megan H Liu; Samantha Votzke; Andrea Yammine; Jean P Gibert
Journal:  Ecol Evol       Date:  2021-12-14       Impact factor: 2.912

7.  Abiotic and Biotic Influences on the Movement of Reintroduced Chinese Giant Salamanders (Andrias davidianus) in Two Montane Rivers.

Authors:  Qijun Wang; Lu Zhang; Hu Zhao; Qing Zhao; Jie Deng; Fei Kong; Wei Jiang; Hongxing Zhang; Hong Liu; Andrew Kouba
Journal:  Animals (Basel)       Date:  2021-05-21       Impact factor: 2.752

8.  Antagonistic effects of intraspecific cooperation and interspecific competition on thermal performance.

Authors:  Hsiang-Yu Tsai; Dustin R Rubenstein; Bo-Fei Chen; Mark Liu; Shih-Fan Chan; De-Pei Chen; Syuan-Jyun Sun; Tzu-Neng Yuan; Sheng-Feng Shen
Journal:  Elife       Date:  2020-08-18       Impact factor: 8.140

  8 in total

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