Phase-separation physics underlies new theory for the resilience of patchy ecosystems
Siteur, K.; Liu, Q-X; Rottschäfer, V.; van der Heide, T.; Rietkerk, M.; Doelman, A.; Boström, C.; van de Koppel, J. (2023). Phase-separation physics underlies new theory for the resilience of patchy ecosystems. Proc. Natl. Acad. Sci. U.S.A. 120(2): e2202683120. https://dx.doi.org/10.1073/pnas.2202683120
Bijhorende data:
In: Proceedings of the National Academy of Sciences of the United States of America. The Academy: Washington, D.C.. ISSN 0027-8424; e-ISSN 1091-6490, meer
|   |
| Author keywords |
self-organization; pattern formation; ecosystem resilience; early-warning signals |
| Auteurs | | Top |
- Siteur, K., meer
- Liu, Q-X, meer
- Rottschäfer, V.
- van der Heide, T., meer
|
- Rietkerk, M.
- Doelman, A.
- Boström, C., meer
- van de Koppel, J., meer
|
|
| Abstract |
Spatial self-organization of ecosystems into large-scale (from micron to meters) patterns is an important phenomenon in ecology, enabling organisms to cope with harsh environmental conditions and buffering ecosystem degradation. Scale-dependent feedbacks provide the predominant conceptual framework for self-organized spatial patterns, explaining regular patterns observed in, e.g., arid ecosystems or mussel beds. Here, we highlight an alternative mechanism for self-organized patterns, based on the aggregation of a biotic or abiotic species, such as herbivores, sediment, or nutrients. Using a generalized mathematical model, we demonstrate that ecosystems with aggregation-driven patterns have fundamentally different dynamics and resilience properties than ecosystems with patterns that formed through scale-dependent feedbacks. Building on the physics theory for phase-separation dynamics, we show that patchy ecosystems with aggregation patterns are more vulnerable than systems with patterns formed through scale-dependent feedbacks, especially at small spatial scales. This is because local disturbances can trigger large-scale redistribution of resources, amplifying local degradation. Finally, we show that insights from physics, by providing mechanistic understanding of the initiation of aggregation patterns and their tendency to coarsen, provide a new indicator framework to signal proximity to ecological tipping points and subsequent ecosystem degradation for this class of patchy ecosystems. |
|
