Multi-level networks for sustainability solutions: The case of The International Partnership for the Satoyama Initiative

Autor: Suneetha M. Subramanian, Raffaela Kozar, Jyoti Sedhain, Osamu Saito, Elson Ian Nyl Galang, Alvie Alip
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Current Opinion in Environmental Sustainability. :123-134
ISSN: 1877-3435
Popis: The loss of biodiversity and ecosystem services in landscapes and seascapes creates complex sustainability challenges in climate, biodiversity and food that span local to global levels. Collaborative networks such as The International Partnership for the Satoyama Initiative (IPSI) link scales through knowledge frameworks and implementation of solutions in response to challenges and opportunities for achieving biodiversity conservation and sustainable development in social-ecological production landscapes and seascapes (SEPLS). Multi-level networks possess an array of locally relevant solutions across ecosystems and scales. When solutions are co-analyzed through a systematic approach such as societal-based solution scanning, they offer pathways to realize resilient and sustainable societies through their prioritization and integration in the management of social-ecological production landscapes and seascapes. In this study we reviewed the solutions of the IPSI network with a societal-based solution scanning method to demonstrate how such networks contribute to solving sustainability challenges and how a systematic approach can capture alternative knowledge of solutions to promote knowledge integration with science and policy-makers for sustainability solutions. Institutional and governance solution types are favored in the Asia region, particularly those that involve greater inclusion of different types of actors in planning, and more integrated management forms that can account for the complexity of addressing sustainability challenges. The multi-level interactions of the network help promote new actions and policy for sustainable use and management of SEPLS.
Databáze: OpenAIRE