ArticlePLoS computational biology2018
The AmP project: Comparing species on the basis of dynamic energy budget parameters.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed.
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- Nutrient storage links past thermal exposure to current performance in phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Whole-Colony Dynamic Energy Budget Model for Bumble Bees: Assessing the Impact of Wildflower Patches on Crop Pollination.Bulletin of mathematical biology · 2025Article
- Microclimate variability impacts the coexistence of highland and lowland ectotherms.The Journal of animal ecology · 2025Article
- Structured Demographic Buffering: A Framework to Explore the Environmental Components and Demographic Mechanisms Underlying Demographic Buffering.Ecology letters · 2025Article
- Modeling the Bioenergetics and Life History Traits ofInsects · 2024Article
- Dynamic Energy Budget model for E. coli growth in carbon and nitrogen limitation conditions.Applied microbiology and biotechnology · 2024Article
- DEBBIES Dataset to study Life Histories across Ectotherms.Scientific data · 2024Article
- Biophysical models accurately characterize the thermal energetics of a small invasive passerine bird.iScience · 2023Article
- The ATTAC guiding principles to openly and collaboratively share wildlife ecotoxicology data.MethodsX · 2023Article
- The consequences of sea lamprey parasitism on lake trout energy budgets.Conservation physiology · 2023Article
- A Dynamic Energy Budget Model for Kuruma ShrimpAnimals : an open access journal from MDPI · 2022Article
- The comparative energetics of the turtles and crocodiles.Ecology and evolution · 2022Article
- Effects of Microplastic on the Population Dynamics of a Marine Copepod: Insights from a Laboratory Experiment and a Mechanistic Model.Environmental toxicology and chemistry · 2022Article
- Modelling the effects of variability in feeding rate on growth - a vital step for DEB-TKTD modelling.Ecotoxicology and environmental safety · 2022Article
- Dynamic Energy Budget models: fertile ground for understanding resource allocation in plants in a changing world.Conservation physiology · 2022Article
- Geographic variation and thermal plasticity shape salamander metabolic rates under current and future climates.Ecology and evolution · 2022Article
- Physiological performance of native and invasive crayfish species in a changing environment: insights from Dynamic Energy Budget models.Conservation physiology · 2022Article
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed new methods for parameter estimation-in-context and, with the help of 125 authors, built the AmP (Add-my-Pet) database of Dynamic Energy Budget (DEB) models, parameters and referenced underlying data for animals, where each species constitutes one database entry. The combination of DEB parameters covers all aspects of energetics throughout the full organism's life cycle, from the start of embryo development to death by aging. The species-specific parameter values capture biodiversity and can now, for the first time, be compared between animals species. An important insight brought by the AmP project is the classification of animal energetics according to a family of related DEB models that is structured on the basis of the mode of metabolic acceleration, which links up with the development of larval stages. We discuss the evolution of metabolism in this context, among animals in general, and ray-finned fish, mollusks and crustaceans in particular. New DEBtool code for estimating DEB parameters from data has been written. AmPtool code for analyzing patterns in parameter values has also been created. A new web-interface supports multiple ways to visualize data, parameters, and implied properties from the entire collection as well as on an entry by entry basis. The DEB models proved to fit data well, the median relative error is only 0.07, for the 1035 animal species at 2018/03/12, including some extinct ones, from all large phyla and all chordate orders, spanning a range of body masses of 16 orders of magnitude. This study is a first step to include evolutionary aspects into parameter estimation, allowing to infer properties of species for which very little is known.
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