The knowledge transfer potential of online data pools on nature-based solutions
Publikation: Beiträge in Zeitschriften › Übersichtsarbeiten › Forschung
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in: Science of the Total Environment, Jahrgang 762, 143074, 25.03.2021.
Publikation: Beiträge in Zeitschriften › Übersichtsarbeiten › Forschung
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TY - JOUR
T1 - The knowledge transfer potential of online data pools on nature-based solutions
AU - Schröter, Barbara
AU - Zingraff-Hamed, Aude
AU - Ott, Edward
AU - Huang, Joshua
AU - Hüesker, Frank
AU - Nicolas, Claire
AU - Schröder, Nadine Jenny Shirin
N1 - Publisher Copyright: © 2020 Elsevier B.V.
PY - 2021/3/25
Y1 - 2021/3/25
N2 - Improving the adoption of Nature-based Solutions (NBS) requires learning from successes and failures. Knowledge derived from implemented cases helps to identify for instance drivers and barriers of NBS implementation, generates lessons learned, and supports their upscaling. Online data pools that catalogue information from NBS case studies may help scientists and practitioners to create this knowledge. The aim of this review is to assess the knowledge transfer potential of online data pools for implementing and upscaling NBS. For that, we compared 21 online data pools that report on NBS case studies in terms of topics, availability and quality of information on NBS. We found a high variability in quantity, type and quality of the information documented, hindering comparability and limiting knowledge transfer. Our results show that the most common knowledge provided was on actions undertaken on NBS, their outcomes, case study site descriptions, specific challenges and information on responsible entities and partners. Information on key attributes of NBS, such as on ecosystem processes and services as well as on governance and financing issues, was often omitted. The missing information however would be important for further comparative research to overcome implementation gaps for NBS. Based on the discussion of our findings we propose categories for a more efficient online data pool and give recommendations for further research on NBS.
AB - Improving the adoption of Nature-based Solutions (NBS) requires learning from successes and failures. Knowledge derived from implemented cases helps to identify for instance drivers and barriers of NBS implementation, generates lessons learned, and supports their upscaling. Online data pools that catalogue information from NBS case studies may help scientists and practitioners to create this knowledge. The aim of this review is to assess the knowledge transfer potential of online data pools for implementing and upscaling NBS. For that, we compared 21 online data pools that report on NBS case studies in terms of topics, availability and quality of information on NBS. We found a high variability in quantity, type and quality of the information documented, hindering comparability and limiting knowledge transfer. Our results show that the most common knowledge provided was on actions undertaken on NBS, their outcomes, case study site descriptions, specific challenges and information on responsible entities and partners. Information on key attributes of NBS, such as on ecosystem processes and services as well as on governance and financing issues, was often omitted. The missing information however would be important for further comparative research to overcome implementation gaps for NBS. Based on the discussion of our findings we propose categories for a more efficient online data pool and give recommendations for further research on NBS.
KW - Amplification
KW - Ecosystem services
KW - Financing
KW - Governance
KW - Implementation barriers
KW - Upscaling
KW - Sustainability Governance
UR - http://www.scopus.com/inward/record.url?scp=85094840371&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/97976692-88a7-3ab5-a640-8b8eaf4b0716/
U2 - 10.1016/j.scitotenv.2020.143074
DO - 10.1016/j.scitotenv.2020.143074
M3 - Scientific review articles
C2 - 33131847
AN - SCOPUS:85094840371
VL - 762
JO - Science of the Total Environment
JF - Science of the Total Environment
SN - 0048-9697
M1 - 143074
ER -