Published June 4, 2026 | Version v1
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Supplement to: Mapping Landscape Suitability for Wind Energy in Germany: An Interdisciplinary Approach Combining Local Acceptance and Spatial Conflict Risks

Description

This is the cleaned data and questionnaire (in German (original) and English (translated), Please see file "Picture Sources" for licenses and picutre credits) supporting the findings of the paper: Mapping Landscape Suitability for Wind Energy in Germany: An Interdisciplinary Approach Combining Local Acceptance and Spatial Conflict Risks (currently under review). Building upon conflict risk classes, our study proposes an interdisciplinary framework that considers public acceptance, landscape characteristics and techno-economic constraints within a spatial planning approach for renewable energy projects. Therefore, using a questionnaire, we empirically assess the socially perceived suitability of and the potential for protests regarding the construction of wind turbines in thirteen different landscape types. Furthermore, we investigated on the effect of ecological compensation measures on the perceived landscape suitability and the willingness to protest. 

Specifically, the questionnaire was designed to answer the following questions: 

RQ1: What is the current level of public acceptance of wind energy expansion in Germany in 2025, and how does it vary across regions?

RQ2: How do different landscape types differ in perceived suitability for wind energy development and willingness to protest?

RQ3: How can the empirical acceptance data be translated into landscape-specific conflict risk classes, and what spatial patterns emerge from this classification?

RQ4: How can acceptance-based conflict risks be integrated with technically derived conflict risks, and what implications does this integration hold for landscape planning and the technical expansion potential of wind energy?

Please refer to the related journal article for the references of the questionnaire items. 

The cleaned data set comprises n = 1014 individual data sets that were used for analysis.

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Additional details

Funding

Federal Ministry for Economic Affairs and Climate Action
03EI5253