Assessing the success of marine ecosystem restoration using meta-analysis
Rattachement africain : it, us, fi, no, es, ie, Tunisie, fr, pt, gr, ca, nl. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Marine ecosystem restoration success stories are needed to incentivize society and private enterprises to build capacity and stimulate investments. Yet, we still must demonstrate that restoration efforts can effectively contribute to achieving the targets set by the UN Decade on Ecosystem Restoration. Here, we conduct a meta-analysis on 764 active restoration interventions across a wide range of marine habitats worldwide. We show that marine ecosystem restorations have an average success of ~64% and that they are: viable for a large variety of marine habitats, including deep-sea ecosystems; highly successful for saltmarshes, tropical coral reefs and habitat-forming species such as animal forests; successful at all spatial scales, so that restoration over large spatial scales can be done using multiple interventions at small-spatial scales that better represent the natural variability, and scalable through dedicated policies, regulations, and financing instruments. Restoration interventions were surprisingly effective even in areas where human impacts persisted, demonstrating that successful restorations can be initiated before all stressors have been removed. These results demonstrate the immediate feasibility of a global ‘blue restoration’ plan even for deep-sea ecosystems, enabled by increasing availability of new and cost-effective technologies. This study evaluated the success of marine ecosystem restoration efforts through a descriptive statistical comparison, a formal meta-analysis conducted on 764 active restoration interventions, and by using a mixed model based on a spectrum of survival data reported in the reviewed literature.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Assessing the success of marine ecosystem restoration using meta-analysis
- Date Crossref
- 29/03/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.