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
Revista:
Ecosistemas: Revista científica y técnica de ecología y medio ambiente

ISSN: 1697-2473

Ano de publicación: 2021

Título do exemplar: Desertificación: nuevos enfoques para un viejo problema

Volume: 30

Número: 3

Tipo: Artigo

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

Outras publicacións en: Ecosistemas: Revista científica y técnica de ecología y medio ambiente

Resumo

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.

Información de financiamento

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.

Financiadores