The environment to the rescue: can physics help predict predator–prey interactions?

Author:

Cherif Mehdi1ORCID,Brose Ulrich23,Hirt Myriam R.23,Ryser Remo23,Silve Violette1,Albert Georg4ORCID,Arnott Russell5ORCID,Berti Emilio23,Cirtwill Alyssa6,Dyer Alexander23,Gauzens Benoit23,Gupta Anhubav7,Ho Hsi‐Cheng8,Portalier Sébastien M. J.9ORCID,Wain Danielle10ORCID,Wootton Kate11

Affiliation:

1. Aquatic Ecosystems and Global Change Research Unit National Research Institute for Agriculture Food and the Environment 50 avenue de Verdun Cestas Cedex 33612 France

2. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Puschstrasse 4 Leipzig 04103 Germany

3. Institute of Biodiversity Friedrich Schiller University Jena Dornburger Straße 159 Jena 07743 Germany

4. Department of Forest Nature Conservation Georg‐August‐Universität Büsgenweg 3 Göttingen 37077 Germany

5. Sainsbury Laboratory University of Cambridge 47 Bateman Street, Cambridge Cambridgeshire CB2 1LR UK

6. Spatial Foodweb Ecology Group, Research Centre for Ecological Change (REC), Faculty of Biological and Environmental Sciences University of Helsinki P.O. Box 4 (Yliopistonkatu 3) Helsinki 00014 Finland

7. Department of Evolutionary Biology and Environmental Studies University of Zurich Winterthurerstrasse 190 Zürich 8057 Switzerland

8. Institute of Ecology and Evolutionary Biology National Taiwan University No. 1, Sec. 4, Roosevelt Rd Taipei 106 Taiwan

9. Department of Mathematics and Statistics University of Ottawa STEM Complex, room 342, 150 Louis‐Pasteur Pvt Ottawa Ontario K1N 6N5 Canada

10. 7 Lakes Alliance, Belgrade Lakes 137 Main St Belgrade Lakes ME 04918 USA

11. School of Biological Sciences University of Canterbury Private Bag 4800 Christchurch 8140 New Zealand

Abstract

ABSTRACTUnderstanding the factors that determine the occurrence and strength of ecological interactions under specific abiotic and biotic conditions is fundamental since many aspects of ecological community stability and ecosystem functioning depend on patterns of interactions among species. Current approaches to mapping food webs are mostly based on traits, expert knowledge, experiments, and/or statistical inference. However, they do not offer clear mechanisms explaining how trophic interactions are affected by the interplay between organism characteristics and aspects of the physical environment, such as temperature, light intensity or viscosity. Hence, they cannot yet predict accurately how local food webs will respond to anthropogenic pressures, notably to climate change and species invasions. Herein, we propose a framework that synthesises recent developments in food‐web theory, integrating body size and metabolism with the physical properties of ecosystems. We advocate for combination of the movement paradigm with a modular definition of the predation sequence, because movement is central to predator–prey interactions, and a generic, modular model is needed to describe all the possible variation in predator–prey interactions. Pending sufficient empirical and theoretical knowledge, our framework will help predict the food‐web impacts of well‐studied physical factors, such as temperature and oxygen availability, as well as less commonly considered variables such as wind, turbidity or electrical conductivity. An improved predictive capability will facilitate a better understanding of ecosystem responses to a changing world.

Publisher

Wiley

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