| Autor: |
Cherif, Mehdi, Brose, Ulrich, Hirt, Myriam R., Ryser, Remo, Silve, Violette, Albert, Georg, Arnott, Russell, Berti, Emilio, Cirtwill, Alyssa, Dyer, Alexander, Gauzens, Benoit, Gupta, Anhubav, Ho, Hsi‐Cheng, Portalier, Sébastien M. J., Wain, Danielle, Wootton, Kate |
| Předmět: |
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| Zdroj: |
Biological Reviews; Dec2024, Vol. 99 Issue 6, p1927-1947, 21p |
| Abstrakt: |
Understanding 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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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