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Governance models for nature-based solutions: Seventeen cases from Germany.

ABSTRACT: Nature-based solutions (NBS) for mitigating climate change are gaining popularity. The number of NBS is increasing, but research gaps still exist at the governance level. The objectives of this paper are (i) to give an overview of the implemented NBS for flood risk management and mitigation in Germany, (ii) to identify governance models that are applied, and (iii) to explore the differences between these models. The results of a hierarchical clustering procedure and a qualitative analysis show that while no one-size-fits-all governance model exists, polycentricism is an important commonality between the projects. The study concludes by highlighting the need for further research on traditional governance model reconversion and paradigm changes. We expect the findings to identify what has worked in the past, as well as what is important for the implementation of NBS for flood risk management in future projects.

SUBMITTER: Zingraff-Hamed A

PROVIDER: S-EPMC8249549 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Governance models for nature-based solutions: Seventeen cases from Germany.

Zingraff-Hamed Aude A Hüesker Frank F Albert Christian C Brillinger Mario M Huang Joshua J Lupp Gerd G Scheuer Sebastian S Schlätel Mareen M Schröter Barbara B

Ambio 20201231 8

Nature-based solutions (NBS) for mitigating climate change are gaining popularity. The number of NBS is increasing, but research gaps still exist at the governance level. The objectives of this paper are (i) to give an overview of the implemented NBS for flood risk management and mitigation in Germany, (ii) to identify governance models that are applied, and (iii) to explore the differences between these models. The results of a hierarchical clustering procedure and a qualitative analysis show t ...[more]

PMID: 33382443

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Project description:Abstract Actions to protect against biodiversity loss and climate change will require a framework that addresses synergies between these interrelated issues. In this study, we present methods for identifying areas important for the implementation of nature‐based climate solutions and biodiversity conservation by intersecting high‐resolution spatial data for carbon storage and landscape connectivity. We explored the spatial congruence of carbon and connectivity in Ontario, Canada and examined effectiveness of current protected areas coverage. We found a weak positive relationship between carbon stocks and landscape connectivity; however, our maps revealed large hotspots, with high values of both indices, throughout the boreal forest and northern peatlands and smaller, isolated hotspots, in the settled landscapes of the south. Location of hotspots varied depending on whether we considered forest or soil carbon. Further, our results show that current protected and conserved areas in Ontario only cover 13% of landscapes with the highest values for both carbon storage and connectivity. Protection or restoration of areas that maximize the co‐benefits of carbon storage and connectivity would make significant contributions toward ambitious national targets to reduce greenhouse gas emissions and conserve biodiversity. We identified areas important for the implementation of nature‐based climate solutions and biodiversity conservation in Ontario, Canada by intersecting high‐resolution spatial data for carbon storage and landscape connectivity. We found large hotspots, with high values for both indices, throughout the boreal forest and northern peatlands of the province. Further, our results show that current protected and conserved areas in Ontario only cover 13% of landscapes with the highest values for both carbon storage and connectivity suggesting these areas are priorities for protection and would make significant contributions toward ambitious national targets to reduce greenhouse gas emissions and conserve biodiversity.

Dataset Information

Governance models for nature-based solutions: Seventeen cases from Germany.

Publications

Governance models for nature-based solutions: Seventeen cases from Germany.

Similar Datasets

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