Bringing the sharing-sparing debate down to the ground—Lessons learnt for participatory scenario development. (February 2020)

• Record Type: Journal Article
• Authors: Hagemann, N.; van der Zanden, E.H.; Willaarts, B.A.; Holzkämper, A.; Volk, M.; Rutz, C.; Priess, J.A.; Schönhart, M.
• Is Part Of: Land use policy. Volume 91(2020)
• Publication Date: 2020-02
• Subjects: Participatory scenarios -- Case studies -- Land management -- Land sharing -- Land sparing -- Transdisciplinary; Land use -- Periodicals; Land use -- Government policy -- Periodicals; Sol, Utilisation du -- Périodiques; Sol, Utilisation du -- Politique gouvernementale -- Périodiques; Electronic journals; 333.7305
• DOI: 10.1016/j.landusepol.2019.104262
• Languages: English
• ISSNs: 0264-8377

Abstract

Highlights: SSPs are used for developing explorative scenarios on land sharing and land sparing. The land sharing / sparing concept operationalised for scenario development. Concept for stakeholder integration into participatory scenario development in five regional European case studies. Abstract: The concepts of Land Sharing (LSH) and Land Sparing (LSP) shall help to manage trade-offs between land use and biodiversity conservation but applications in real world contexts are scarce. We review the literature on scenario and stakeholder processes and present a participatory approach to translate the LSH/LSP concept into practice. It is based on a scenario definition process harmonized across five case studies in Europe and resulted in semi-quantitative participative LSH and LSP scenarios. Harmonization eases comparability among case studies despite fundamentally different scenarios due to heterogeneous conditions across the regions. A key challenge was the right level of standardization for the scenario process to reach a common understanding across case study regions while acknowledging regional peculiarities. The resulting scenarios support for regional specific planning recommendations and can be input to quantitative ecosystem service and biodiversity models.