Universal Niche Geometry Governs the Response of Ecosystems to Environmental Perturbations
How ecosystems respond to environmental perturbations is a fundamental question in ecology, made especially challenging due to the strong coupling between species and their environment. Here, we introduce a theoretical framework for calculating the steady-state response of ecosystems to environmental perturbations in generalized consumer-resource models. Our construction is applicable to a wide class of systems, including models with nonreciprocal interactions, cross-feeding, and nonlinear growth/consumption rates. Within our framework, all ecological variables are embedded into four distinct vector spaces, and ecological interactions are represented by geometric transformations between these spaces. We show that, near a steady state, such geometric transformations directly map environmental perturbations-in resource availability and mortality rates-to shifts in niche structure. We illustrate these ideas in a variety of settings including a minimal model for pH-induced toxicity in bacterial denitrification. We end by discussing the biological implications of our framework. We show that it is extremely difficult to distinguish cooperative and competitive interactions by measuring the responses of species to external perturbations.
Authors
- Pankaj Mehta (ORCID: https://orcid.org/0000-0003-1290-5897)
- Akshit Goyal (ORCID: https://orcid.org/0000-0002-9425-8269)
- Jason W. Rocks (ORCID: https://orcid.org/0000-0002-0285-0119)
Institutions
- Tata Institute of Fundamental Research (IN)
- International Centre for Theoretical Sciences (IN)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- PRX Life
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1103/prxlife.3.013010
- Citations
- 6
- Primary Topic
- Earth Systems and Cosmic Evolution
- Type
- article
- Field-Weighted Citation Impact
- 7.80
Funders
- Gordon and Betty Moore Foundation
- Department of Biotechnology, Ministry of Science and Technology, India
- National Institutes of Health
- National Institute of General Medical Sciences