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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Marine & Wildlife Sign in to save

Food Webs and Ecosystems: Linking Species Interactions to the Carbon Cycle

Annual Review of Ecology Evolution and Systematics 2020 91 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Oswald J. Schmitz, Shawn Leroux

Summary

This review argues that wild animals — including herbivores and carnivores — play underappreciated roles in regulating ecosystem carbon cycling through their stoichiometric needs and functional traits in food webs, challenging carbon models that focus only on plants, microbes, and invertebrate decomposers. The authors call for integrating animal-mediated carbon fluxes into ecosystem carbon accounting to improve the accuracy of climate-relevant models.

All species within ecosystems contribute to regulating carbon cycling because of their functional integration into food webs. Yet carbon modeling and accounting still assumes that only plants, microbes, and invertebrate decomposer species are relevant to the carbon cycle. Our multifaceted review develops a case for considering a wider range of species, especially herbivorous and carnivorous wild animals. Animal control over carbon cycling is shaped by the animals’ stoichiometric needs and functional traits in relation to the stoichiometry and functional traits of their resources. Quantitative synthesis reveals that failing to consider these mechanisms can lead to serious inaccuracies in the carbon budget. Newer carbon-cycle models that consider food-web structure based on organismal functional traits and stoichiometry can offer mechanistically informed predictions about the magnitudes of animal effects that will help guide new empirical research aimed at developing a coherent understanding of the interactions and importance of all species within food webs.

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