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Ecosystem function in predator-prey food webs: confronting dynamic models with empirical data
Högskolan i Skövde, Institutionen för biovetenskap. Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden / Department of Environmental Sciences, Emory University, Atlanta, GA, Georgia, United States.ORCID-id: 0000-0001-6870-7924
Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, United States.
Undergraduate Research Opportunities Center (UROC), California State University, Monterey Bay, Seaside, CA, United States.
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
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2019 (Engelska)Ingår i: Journal of Animal Ecology, ISSN 0021-8790, E-ISSN 1365-2656, Vol. 88, nr 2, s. 196-210Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Most ecosystem functions and related services involve species interactions across trophic levels, for example, pollination and biological pest control. Despite this, our understanding of ecosystem function in multitrophic communities is poor, and research has been limited to either manipulation in small communities or statistical descriptions in larger ones. Recent advances in food web ecology may allow us to overcome the trade-off between mechanistic insight and ecological realism. Molecular tools now simplify the detection of feeding interactions, and trait-based approaches allow the application of dynamic food web models to real ecosystems. We performed the first test of an allometric food web model's ability to replicate temporally nonaggregated abundance data from the field and to provide mechanistic insight into the function of predation. We aimed to reproduce and explore the drivers of the population dynamics of the aphid herbivore Rhopalosiphum padi observed in ten Swedish barley fields. We used a dynamic food web model, taking observed interactions and abundances of predators and alternative prey as input data, allowing us to examine the role of predation in aphid population control. The inverse problem methods were used for simultaneous model fit optimization and model parameterization. The model captured >70% of the variation in aphid abundance in five of ten fields, supporting the model-embodied hypothesis that body size can be an important determinant of predation in the arthropod community. We further demonstrate how in-depth model analysis can disentangle the likely drivers of function, such as the community's abundance and trait composition. Analysing the variability in model performance revealed knowledge gaps, such as the source of episodic aphid mortality, and general method development needs that, if addressed, would further increase model success and enable stronger inference about ecosystem function. The results demonstrate that confronting dynamic food web models with abundance data from the field is a viable approach to evaluate ecological theory and to aid our understanding of function in real ecosystems. However, to realize the full potential of food web models, in ecosystem function research and beyond, trait-based parameterization must be refined and extended to include more traits than body size. © 2018 The Authors. Journal of Animal Ecology © 2018 British Ecological Society

Ort, förlag, år, upplaga, sidor
John Wiley & Sons, 2019. Vol. 88, nr 2, s. 196-210
Nyckelord [en]
agricultural pests, allometry, body mass, conservation biological control, herbivore suppression, multitrophic functioning, predator–prey interactions, species traits
Nationell ämneskategori
Bioinformatik och systembiologi
Forskningsämne
Ekologisk modellering
Identifikatorer
URN: urn:nbn:se:his:diva-16247DOI: 10.1111/1365-2656.12892ISI: 000458963200002PubMedID: 30079547Scopus ID: 2-s2.0-85052925738OAI: oai:DiVA.org:his-16247DiVA, id: diva2:1252479
Tillgänglig från: 2018-10-01 Skapad: 2018-10-01 Senast uppdaterad: 2020-01-27Bibliografiskt granskad

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Jonsson, Tomas

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Curtsdotter, AlvaJonsson, Tomas
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Institutionen för biovetenskapForskningsmiljön Systembiologi
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