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The European Union (EU) is committed to tackling the issue of climate change, which poses serious risks to the global environment and human well-being. Supporting renewable energy is a key policy direction for the EU to lower its contributions to climate change. However, renewable energy technologies have diverse effects on the environment and on society. These effects can be considered a complex system of interacting elements and are challenging to assess. Conceptual models are a way of synthesizing this information to obtain an overview of the system and essential insights. We present the results of an activity to assess the impacts of EU renewable energy policies on overseas biodiversity and the United Nations (UN) Sustainable Development Goals (SDGs). This was carried out as part of the EKLIPSE (EKLIPSE (Establishing a European Knowledge and Learning Mechanism to Improve the Policy-Science-Society Interface on Biodiversity and Ecosystem Services) mechanism to synthesise environmental knowledge in response to specific requests by decision-makers at the European level. We carried out a participatory process to collate expert knowledge into a conceptual model using a Fuzzy Cognitive Mapping Approach (Özesmi and Özesmi 2004), with the Mental Modeler software for mapping (Gray et al. 2013). The participants were guided to connect significant EU policies associated with renewable energy, the technologies they support, and known impacts of these technologies on biodiversity and the SDGs, drawing on a preliminary review of the literature. The individual models obtained were integrated into a single model (see Suppl. material 1 for images). This was then subject to network analysis, which reveals the collective effects of different renewable energy technologies (RETs) on the wider socioecological system. Our findings highlight that RETs have complex and at times disparate effects on biodiversity and the SDGs, acting through a variety of mediating processes. They benefit the SDGs on balance, particularly climate-related SDGs. Mitigation of biodiversity impacts remains a concern, and processes such as habitat change were found to be influential here. Our results suggest that policymakers must focus on implementing appropriate environmental impact assessments, guided by these mediating processes. This would minimize any negative environmental impacts of RETs, while maximizing the benefits.

The European Union (EU) is committed to tackling the issue of climate change, which poses serious risks to the global environment and human well-being. Supporting renewable energy is a key policy direction for the EU to lower its contributions to climate change. However, renewable energy technologies have diverse effects on the environment and on society. These effects can be considered a complex system of interacting elements and are challenging to assess. Conceptual models are a way of synthesizing this information to obtain an overview of the system and essential insights. We present the results of an activity to assess the impacts of EU renewable energy policies on overseas biodiversity and the United Nations (UN) Sustainable Development Goals (SDGs). This was carried out as part of the EKLIPSE (EKLIPSE (Establishing a European Knowledge and Learning Mechanism to Improve the Policy-Science-Society Interface on Biodiversity and Ecosystem Services) mechanism to synthesise environmental knowledge in response to specific requests by decision-makers at the European level. We carried out a participatory process to collate expert knowledge into a conceptual model using a Fuzzy Cognitive Mapping Approach (Özesmi and Özesmi 2004), with the Mental Modeler software for mapping (Gray et al. 2013). The participants were guided to connect significant EU policies associated with renewable energy, the technologies they support, and known impacts of these technologies on biodiversity and the SDGs, drawing on a preliminary review of the literature. The individual models obtained were integrated into a single model (see Suppl. material 1 for images). This was then subject to network analysis, which reveals the collective effects of different renewable energy technologies (RETs) on the wider socioecological system. Our findings highlight that RETs have complex and at times disparate effects on biodiversity and the SDGs, acting through a variety of mediating processes. They benefit the SDGs on balance, particularly ...

Die vorliegende Publikation ist die Kurzfassung der englischsprachigen Studie 'Transformative change for a sustainable management of global commons. Recommendations for international cooperation based on a review of global assessment reports and project experience' (veröffentlicht als UFZ-Bericht 3/2021) und wurde im Rahmen des Projekts 'Transformativer Wandel zum Schutz von globalen Gemeingütern' erstellt. Im ersten Teil werden die Folgen unserer Lebensweise für die globalen Gemeingüter Biodiversität, Wald und Meere beleuchtet und die Dringlichkeit des Handels betont. Warum eine Trendwende hin zu einem nachhaltigen Umgang mit unseren Lebensgrundlagen im Sinne der Agenda 2030 der Vereinten Nationen bisher nicht erreicht wurde und welche zentralen Herausforderungen in den Bereichen Biodiversität, Wald und Meere gelöst werden müssten, fasst der zweite Teil zusammen. Der letzte Teil wirbt für einen 'radikalen Inkrementalismus' der von einer übergeordneten, transformativen Vision für einen nachhaltigen Wandel geleitet ist und in dem zahlreiche unterschiedliche Maßnahmen gesamtgesellschaftlich verhandelt und neu ausgerichtet werden. Damit einher geht eine kluge Auswahl vieler Schritte, um schnell radikale Veränderungen in einzelnen Sektoren wie Energie, Wohnen, Landwirtschaft oder Finanzen, und in verschiedenen sozialen, ökonomischen und politischen Systemen einzuleiten. Der Kurzbericht schließt mit Handlungsoptionen für die drei zentralen Transformationshebel 1) strukturelle Verankerung des sozial-ökologischen Wandels und Gemeinwohlorientierung, 2) Ökologisierung der Landwirtschaft und 3) Globale Governance zum Schutz der globalen Gemeingüter Biodiversität, Wälder und Meere.