The last violin plot (C-D) show respectively the distribution of the weighted richness score and the TEV of ES into the different types of LC. Diagram indicates the proportion of each LC on the study area. We show the distribution of LC (A) and the TEV of ES (B) in function of elevation with a violin plot. Our study paves the way toward further integration of multiple biodiversity groups and components, ecosystem services and various socio-economic scenarios, ultimately fuelling the development of more informed, evidence-based spatial planning decisions for conservation.Īnalysis of the distribution of the TEV per site (CHF/ha/year) and the diversity (N species) in function of the elevation and the land cover types (LC). Our analyses stress the need for an appropriate weighting of biodiversity within decision making that seek to integrate multiple ecosystem services. Moreover, the analysis to identify priority areas that best compromise the conservation of α-diversity and ecosystem services are predominantly not located within the current protected area network. Our results illustrate how increasing priorities to ecosystem services can be disadvantageous to biodiversity. Different weighting scenarios for the α-diversity in four taxonomic groups and 10 mapped ecosystem services were used to simulate varying priorities of policymakers in a mountain region. Here, we propose a prioritization approach based on scenarios maximising both the provision of ecosystem services and the conservation of biodiversity hotspots. Hence, biodiversity conservation planning should be integrated in a framework of prioritizing services in order to inform decision-making. Biodiversity has often been used in spatial conservation planning and has been regarded as one among multiple services delivered by ecosystems. As anthropogenic degradation of biodiversity and ecosystems increases, so does the potential threat to the supply of ecosystem services, a key contribution of nature to people.
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