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Restoration ecology meets design-engineering: Mimicking emergent traits to restore feedback-driven ecosystems.
- Source :
-
The Science of the total environment [Sci Total Environ] 2023 Dec 01; Vol. 902, pp. 166460. Date of Electronic Publication: 2023 Aug 21. - Publication Year :
- 2023
-
Abstract
- Ecosystems shaped by habitat-modifying organisms such as reefs, vegetated coastal systems and peatlands, provide valuable ecosystem services, such as carbon storage and coastal protection. However, they are declining worldwide. Ecosystem restoration is a key tool for mitigating these losses but has proven failure-prone, because ecosystem stability often hinges on self-facilitation generated by emergent traits from habitat modifiers. Emergent traits are not expressed by the single individual, but emerge at the level of an aggregation: a minimum patch-size or density-threshold must be exceeded to generate self-facilitation. Self-facilitation has been successfully harnessed for restoration by clumping transplanted organisms, but requires large amounts of often-limiting and costly donor material. Recent advancements highlight that kickstarting self-facilitation by mimicking emergent traits can similarly increase restoration success. Here, we provide a framework for combining expertise from ecologists, engineers and industrial product designers to transition from trial-and-error to emergent trait design-based, cost-efficient approaches to support large-scale restoration.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Feedback
Engineering
Ecosystem
Ecology
Subjects
Details
- Language :
- English
- ISSN :
- 1879-1026
- Volume :
- 902
- Database :
- MEDLINE
- Journal :
- The Science of the total environment
- Publication Type :
- Academic Journal
- Accession number :
- 37611724
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2023.166460