AmPtools
AmPtools analyzes parameter patterns in the Add-my-Pet (AmP) database to summarize and compare Dynamic Energy Budget (DEB) model parameters across animal species.
Key Features:
- Parameter estimation-in-context: Estimates DEB parameters from species-specific empirical datasets to derive species energetic profiles.
- Comparative analysis across species: Standardizes and compares DEB parameters across diverse taxa, including extinct species, enabling cross-species energetic comparisons among ray-finned fish, mollusks, and crustaceans.
- DEB model classification: Classifies animal energetics using a structured family of DEB models based on metabolic acceleration modes.
- Visualization of parameters and derived properties: Visualizes parameter distributions and derived properties at both aggregate and individual species levels.
- Model fit statistics: Reports model fit metrics, including a median relative error of 0.07 across over a thousand animal species.
- Wide body-mass coverage: Handles datasets spanning 16 orders of magnitude in body mass.
- AmP database integration: Operates on Add-my-Pet (AmP) database entries representing full life-cycle energetics from embryonic development to senescence.
Scientific Applications:
- Evolutionary biology: Integrates evolutionary aspects into parameter estimation to study metabolic evolution across taxa.
- Ecology and biodiversity inference: Infers energetic properties of lesser-known or poorly sampled species to expand understanding of biodiversity.
- Comparative energetics and macroecology: Enables studies of metabolic strategies and energetics across the animal kingdom spanning vast body-mass scales.
Methodology:
Uses DEBtool code for parameter estimation from empirical datasets and AmPtool code for pattern analysis of the resulting DEB parameters.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- MATLAB
- Added:
- 7/14/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Marques GM, Augustine S, Lika K, Pecquerie L, Domingos T, Kooijman SALM. The AmP project: Comparing species on the basis of dynamic energy budget parameters. PLOS Computational Biology. 2018;14(5):e1006100. doi:10.1371/journal.pcbi.1006100. PMID:29742099. PMCID:PMC5962104.