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Trade-Offs between Ecosystem Services in a Mountain Region

Mountain ecosystems provide a broad range of ecosystem services (ES). Trade-offs between different ES are an important aspect in the assessment of future sustainable land-use. Management of ES in mountain regions must confront the challenges of spatial and temporal heterogeneity, and interaction with structural changes in agriculture and forestry. Using a social-ecological modeling framework, we assess the relationships between forest and agricultural ES in a mountain region in Switzerland. Based on the concept of jointness in production, we evaluated trade-offs and synergies among food provision, biodiversity conservation, carbon sequestration, and protection against natural hazards. Results show that increasing the provision of a focal ES in a mountain region may result in alternating trade-offs and synergies, depending on the interaction of economic and technological interdependencies. Thus, management schemes aiming to increase the provision of one focal ES have to consider not only the technological or biological nature of interrelationships, but also the economic interdependencies among different ES. Trade-offs and synergies from these interactions strongly depend on the underlying structural and environmental conditions driven by socioeconomic and climatic developments.
- Swiss Federal Institute for Forest, Snow and Landscape Research Switzerland
- ETH Zurich (Suisse) Switzerland
- Department of Environmental System Science Switzerland
- Department of Environmental Systems Sciences Switzerland
- University of Technology Zurich Switzerland
Ecology, QH301-705.5, forestry, model-based scenario analysis, mountainous regions, land-use change, climate change, trade-offs, Biology (General), ecosystem services, QH540-549.5, agriculture
Ecology, QH301-705.5, forestry, model-based scenario analysis, mountainous regions, land-use change, climate change, trade-offs, Biology (General), ecosystem services, QH540-549.5, agriculture
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).122 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
