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A new flexible model for maintenance and feeding expenses that improves description of individual growth in insects
University of Skövde, Systems Biology Research Environment. University of Skövde, School of Bioscience. Ecological and Environmental Modeling, Department of Physics, Chemistry and Biology, Linköping University, Sweden. (Ecological Modelling Group)ORCID iD: 0000-0003-0097-1379
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. Ecological and Environmental Modeling, Department of Physics, Chemistry and Biology, Linköping University, Sweden. (Ecological Modelling Group)ORCID iD: 0000-0002-5234-9576
2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 16751Article in journal (Refereed) Published
Abstract [en]

Metabolic theories in ecology interpret ecological patterns at different levels through the lens of metabolism, typically applying allometric scaling to describe energy use. This requires a sound theory for individual metabolism. Common mechanistic growth models, such as ‘von Bertalanffy’, ‘dynamic energy budgets’ and the ‘ontogenetic growth model’ lack some potentially important aspects, especially regarding regulation of somatic maintenance. We develop a model for ontogenetic growth of animals, applicable to ad libitum and food limited conditions, based on an energy balance that expresses growth as the net result of assimilation and metabolic costs for maintenance, feeding and food processing. The most important contribution is the division of maintenance into a ‘non-negotiable’ and a ‘negotiable’ part, potentially resulting in hyperallometric scaling of maintenance and downregulated maintenance under food restriction. The model can also account for effects of body composition and type of growth at the cellular level. Common mechanistic growth models often fail to fully capture growth of insects. However, our model was able to capture empirical growth patterns observed in house crickets.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 13, no 1, article id 16751
National Category
Ecology Zoology
Research subject
Ecological Modelling Group
Identifiers
URN: urn:nbn:se:his:diva-23327DOI: 10.1038/s41598-023-43743-1PubMedID: 37798309Scopus ID: 2-s2.0-85173773729OAI: oai:DiVA.org:his-23327DiVA, id: diva2:1807045
Funder
Swedish Research Council, 2018-05523University of Skövde
Note

CC BY 4.0

Ecological Modelling Group, School of Bioscience, University of Skövde, Skövde, Sweden. email: karl.mauritsson@his.se

Funding was provided by the Swedish research council, Grant number 2018-05523.

Open access funding provided by University of Skövde.

Author correction in: Scientific Reports, Volume 13, 18808 (2023). https://doi.org/10.1038/s41598-023-45923-5

Available from: 2023-10-24 Created: 2023-10-24 Last updated: 2023-11-17Bibliographically approved

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Mauritsson, KarlJonsson, Tomas

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