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.

PMID: 29742099
PMCID: PMC5962104
Funding: - Norges Forskningsråd: 255295

Documentation