A residence-time framework for biodiversity
- Published
- Accepted
- Subject Areas
- Biodiversity, Ecology, Ecosystem Science, Microbiology
- Keywords
- individual based modeling, ecological theory, trait diversity, growth dynamics, life history traits, chemostat theory, bioreactor, emergent properties, ecological constraints, dilution rate
- Copyright
- © 2017 Locey et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. A residence-time framework for biodiversity. PeerJ Preprints 5:e2727v1 https://doi.org/10.7287/peerj.preprints.2727v1
Abstract
Residence time (τ) is the average amount of time that particles spend in an ecosystem. Often estimated from the ratio of volume to flow rate, τ equates the physical environment with dynamics of growth. Here, we propose that τ is key to understanding relationships between biodiversity and the physical ecosystem. We hypothesize that τ acts as a force of selection on traits related to growth and persistence by coupling dispersal and resource supply. We test a suite of predictions using >10,000 stochastic individual-based models that simulate resource-limited life history among ecologically distinct species within complex environments. Predicted relationships between τ and abundance, productivity, and diversity emerged alongside realistic macroecological patterns. Abundance and productivity were greatest when τ equaled an emergent property ϕ, which captures energy-based trade-offs between growth and persistence. From individual metabolism to the dynamics of bioreactors, soils, lakes, and oceans, ecological systems should inherently be governed by τ.
Author Comment
This is the first version of the manuscript. This work is original research based on ecological modeling and is not part of conference proceedings. We intend to submit to a peer-reviewed general ecological journal.