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Bitte verwenden Sie diesen Link, wenn Sie dieses Dokument zitieren oder verlinken wollen: https://nbn-resolving.org/urn:nbn:de:gbv:9-opus-76763

Taking stock of and advancing knowledge on interaction archetypes at the nexus between land, biodiversity, food and climate

  • AbstractGlobal challenges related to land, biodiversity, food and climate interact in diverse ways depending on local conditions and the broader context in which they are embedded. This diversity challenges learning and integrated decision-making to sustainably transform the nexus, that is to say the interactions between these land-based challenges. Providing aggregated insights, archetype analysis has revealed recurrent patterns within the multitude of interactions, i.e. interaction archetypes that are essential to enhance the understanding of nexus relations. This paper synthesises the state of knowledge on interaction or nexus archetypes related to land, biodiversity, food and climate based on a systematic literature review. It focusses on the coverage of thematic aspects, regional distribution, social dimensions and methodologies. The results show that consideration of comprehensive land–biodiversity–food–climate interactions is rare. Furthermore, there are pronounced regional knowledge gaps, social dimensions are inadequately captured, and methodological shortcomings are evident. To enhance the investigation of interaction archetypes, we have framed a future research agenda providing directions to fully capture interactions across space and time, better use the potential of scenario archetypes and up-scale transformative actions. These advances will constructively contribute insights that help to achieve the ambitious objective to sustainably transform the nexus between land, biodiversity, food and climate.

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Metadaten
Author: Diana Sietz, Regina Neudert
URN:urn:nbn:de:gbv:9-opus-76763
DOI:https://doi.org/10.1088/1748-9326/ac9a5c
ISSN:1748-9326
Parent Title (English):Environmental Research Letters
Publisher:IOP Publishing
Place of publication:Bristol
Document Type:Article
Language:English
Date of first Publication:2022/11/14
Release Date:2022/11/28
Tag:knowledge transfer; land system; nexus archetype; pattern; scaling; social-ecological system
GND Keyword:-
Volume:17
Article Number:113004
Page Number:14
Faculties:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Botanik und Landschaftsökologie & Botanischer Garten
Licence (German):License LogoCreative Commons - Namensnennung