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The multi-criteria assessment of ecosystem services at a landscape level to support decision-making in regional and landscape planning

The growing pressure on natural resources and biodiversity has led to a widespread acknowledgement of the services nature provides for humans. The appropriate representation of the benefits of sustainable land use in decision-making is still a challenge and tools that facilitate land use planning processes are needed.

The dissertation presents a multicriteria assessment approach for a qualitative estimation of regional potentials to provide ecosystem services. This approach has been applied in several case studies in Saxony, Eastern Germany and Brasil. The ecosystem services concept builts the methodological framework for the assessment as it offers a universal approach to evaluate the impact of Land use/ Land cover change (LULCC) on human well-being. Since standardized methodical approaches for ecosystem services assessment at the landscape level are lacking, a particular requirement was to conceive a method that is easily transferable to other case study areas. Further the method should enable the use of existing and easily available environmental data, and it should be transparent for stakeholders and decision makers.

The results of our study show that the combination of selected ecosystem services and land cover data such as CORINE Land Cover (CLC) can contribute to regional planning by communicating the effect of LULCC on ecosystem services, especially when applied as an evaluation basis in the tool GISCAME. The approach supports also the assessment of the performance of a region to provide ecosystem services and the comparison of regions towards this aspect. In the discussion section, the limitations of the developed approach are discussed. Main sources of uncertainty are related to coarse land cover data, lacking knowledge on the provision of ecosystem services at a landscape scale, and the difficulty to make relevant the ecosystem services concept in regional planning processes.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:29021
Date24 April 2015
CreatorsKoschke, Lars
ContributorsMakeschin, Franz, Burkhard, Benjamin, Volk, Martin, Technische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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