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http://dx.doi.org/10.25673/111826
Titel: | Towards a better future for biodiversity and people : modelling Nature Futures |
Autor(en): | Kim, HyeJin Pereira, Henrique M. [und viele weitere] |
Erscheinungsdatum: | 2023 |
Art: | Artikel |
Sprache: | Englisch |
Zusammenfassung: | The Nature Futures Framework (NFF) is a heuristic tool for co-creating positive futures for nature and people. It seeks to open up a diversity of futures through mainly three value perspectives on nature – Nature for Nature, Nature for Society, and Nature as Culture. This paper describes how the NFF can be applied in modelling to support decision-making. First, we describe key considerations for the NFF in developing qualitative and quantitative scenarios: i) multiple value perspectives on nature as a state space where pathways improving nature toward a frontier can be represented, ii) mutually reinforcing key feedbacks of social-ecological systems that are important for nature conservation and human wellbeing, iii) indicators of multiple knowledge systems describing the evolution of complex social-ecological dynamics. We then present three approaches to modelling Nature Futures scenarios in the review, screening, and design phases of policy processes. This paper seeks to facilitate the integration of relational values of nature in models and strengthen modelled linkages across biodiversity, nature’s contributions to people, and quality of life. |
URI: | https://opendata.uni-halle.de//handle/1981185920/113783 http://dx.doi.org/10.25673/111826 |
Open-Access: | Open-Access-Publikation |
Nutzungslizenz: | (CC BY 4.0) Creative Commons Namensnennung 4.0 International |
Journal Titel: | Global environmental change |
Verlag: | Elsevier |
Verlagsort: | Amsterdam [u.a.] |
Band: | 82 |
Originalveröffentlichung: | 10.1016/j.gloenvcha.2023.102681 |
Enthalten in den Sammlungen: | Open Access Publikationen der MLU |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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1-s2.0-S095937802300047X-main.pdf | 3.5 MB | Adobe PDF | Öffnen/Anzeigen |