Planificación participativa para la restauración ecológica de un paisaje semiárido altamente antropizado

  1. Elysa Silva
  2. Mchich Derak
  3. Emilio Climent-Gil
  4. Antonio Aledo
  5. Andreu Bonet
  6. Germán López
  7. Jordi Cortina-Segarra
Aldizkaria:
Ecosistemas: Revista científica y técnica de ecología y medio ambiente

ISSN: 1697-2473

Argitalpen urtea: 2021

Zenbakien izenburua: Desertificación: nuevos enfoques para un viejo problema

Alea: 30

Zenbakia: 3

Mota: Artikulua

DOI: 10.7818/ECOS.2266 SCOPUS: 2-s2.0-85123102791 WoS: 000736978200007 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Ecosistemas: Revista científica y técnica de ecología y medio ambiente

Laburpena

Ecological restoration has enormous potential to protect biodiversity, increase the supply of ecosystem services, and improve human well-being. To fully develop this potential and do so efficiently, it is necessary to design operating procedures that allow the identification of priority actions and areas for restoration. These procedures must also harmonize the multiple prioritization criteria and the multiple expectations about their results. In this study we have designed and applied a system for the identification of high priority areas for the restoration of a highly anthropized semi-arid landscape in the southeast of the Iberian Peninsula. Our approach combines the priority criteria identified and weighted by a stakeholder platform, and the effectiveness of restoration, measured as a potential increase in the provision of services. Stakeholders identified and weighted 33 prioritization criteria and 24 ecosystem services. The high priority areas for restoration, according to the platform's criteria, substantially coincided with areas of high supply of services. On the contrary, these areas hardly overlapped with areas of high effectiveness. Our study shows that both approaches can contribute, in a complementary way, to improve the quality of decisions and facilitate consensus between the parties. Our methodology is flexible and can be replicated in other landscapes, even outside the scope of the study.

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Finantzaketari buruzko informazioa

We thank the creators of the LeaP Corpus as well as C-C. Cheng and C-J. Lin for LibSVM. This work was supported by NSF IIS: 0414919.

Finantzatzaile

Datuen iturria: Dialnet