residence-time
residence-time quantifies residence time (τ) from the ratio of volume to flow rate to link physical ecosystem dynamics with biological growth and biodiversity patterns.
Key Features:
- Residence time calculation: Computes τ as the ratio of ecosystem volume to flow rate (τ = volume/flow rate).
- Individual-based modeling: Implements over 20,000 individual-based models to test ecological predictions and energetic cost hypotheses.
- Residence-time range: Evaluates ecological dynamics across six orders of magnitude of τ.
- Dispersal and resources integration: Incorporates dispersal mechanisms and resource availability into models to connect physical transport with biological processes.
- Multimetric outputs: Analyzes growth, productivity, abundance, diversity, turnover, commonness, rarity, and trait syndromes.
- Metabolic alignment analysis: Assesses alignment between dilution rate (1/τ) and basal metabolic rates to identify conditions for peak abundance, productivity, and species richness.
Scientific Applications:
- Ecological selection and energetic costs: Tests predictions about ecological selection and energetic cost trade-offs using individual-based simulations.
- Biodiversity patterns across residence-time gradients: Examines how abundance, productivity, species richness, and diversity metrics vary with τ and dilution rate.
- Dispersal–resource interactions: Investigates how dispersal mechanisms and resource availability jointly influence community composition and trait syndromes.
- Scaling from organisms to ecosystems: Links basal metabolic rates to ecosystem-scale dilution rates to predict conditions for optimal biodiversity across scales.
Methodology:
Calculates τ as volume/flow rate; runs over 20,000 individual-based models spanning six orders of magnitude of τ; integrates dispersal mechanisms and resource availability into those models; tests predictions related to ecological selection and energetic costs; and analyzes outputs for growth, productivity, abundance, diversity, turnover, commonness, rarity, and trait syndromes while evaluating dilution rate (1/τ) relative to basal metabolic rates.
Topics
Details
- Programming Languages:
- Python
- Added:
- 1/9/2020
- Last Updated:
- 1/15/2021
Operations
Publications
Locey KJ, Lennon JT. A residence-time framework for biodiversity. Unknown Journal. 2017. doi:10.7287/peerj.preprints.2727v2.