Food webs coupled in space: Consumer foraging movement affects both stocks and fluxesShow others and affiliations
2023 (English)In: Ecology, ISSN 0012-9658, E-ISSN 1939-9170, Vol. 104, no 8, article id e4101Article in journal (Refereed) Published
Abstract [en]
The exchange of material and individuals between neighboring food webs is ubiquitous and affects ecosystem functioning. Here, we explore animal foraging movement between adjacent, heterogeneous habitats and its effect on a suite of interconnected ecosystem functions. Combining dynamic food web models with nutrient-recycling models, we study foraging across habitats that differ in fertility and plant diversity. We found that net foraging movement flowed from high to low fertility or high to low diversity and boosted stocks and flows across the whole loop of ecosystem functions, including biomass, detritus, and nutrients, in the recipient habitat. Contrary to common assumptions, however, the largest flows were often between the highest and intermediate fertility habitats rather than highest and lowest. The effect of consumer influx on ecosystem functions was similar to the effect of increasing fertility. Unlike fertility, however, consumer influx caused a shift toward highly predator-dominated biomass distributions, especially in habitats that were unable to support predators in the absence of consumer foraging. This shift resulted from both direct and indirect effects propagated through the interconnected ecosystem functions. Only by considering both stocks and fluxes across the whole loop of ecosystem functions do we uncover the mechanisms driving our results. In conclusion, the outcome of animal foraging movements will differ from that of dispersal and diffusion. Together we show how considering active types of animal movement and the interconnectedness of ecosystem functions can aid our understanding of the patchy landscapes of the Anthropocene.
Place, publisher, year, edition, pages
John Wiley & Sons, 2023. Vol. 104, no 8, article id e4101
National Category
Ecology
Research subject
Ecological Modelling Group
Identifiers
URN: urn:nbn:se:his:diva-23049DOI: 10.1002/ecy.4101ISI: 001021620600001PubMedID: 37203417Scopus ID: 2-s2.0-85163791488OAI: oai:DiVA.org:his-23049DiVA, id: diva2:1783305
Funder
Swedish Research Council, 2016‐06872Swedish Research Council, 2018‐05523EU, Horizon 2020, 856506EU, European Research Council, 856506
Note
CC BY-NC 4.0
Correspondence: Kate L. Wootton Email: kate.l.wootton@gmail.com Present address Kate L. Wootton, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
We thank Kevin McCann, David Gilljam, and YuvalZelnick for helpful comments on an earlier version of this manuscript. Kate L. Wootton, Tomas Roslin, and Tomas Jonsson were funded by Vetenskapsrådet (VR) Grant 2016-06872, and Tomas Jonsson was also partially fundedby VR Grant 2018-05523. Tomas Roslin was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement 856506; ERC-synergy project LIFEPLAN). Open access publishing facilitated by University of Canterbury, as part of the Wiley - University of Canterbury agreement via the Council of Australian University Librarians.
2023-07-202023-07-202023-12-19Bibliographically approved