Identifying the Optimal Area Threshold of Mapping Units for Cultural Ecosystem Services in a River Basin

Ye Li, Junda Huang and Yuncai Wang ()
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Ye Li: Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
Junda Huang: Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
Yuncai Wang: Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China

Land, 2024, vol. 13, issue 3, 1-16

Abstract: Mapping cultural ecosystem services (CES) in river basins is crucial for spatially identifying areas that merit conservation due to their significant CES contributions. However, precise quantification of the appropriate area of mapping units, which is the basis for CES assessment, is rare in existing studies. In this study, the optimal area threshold of mapping units (OATMU) identification, consisting of a multi-dimensional indicator framework and a methodology for validation, was established to clarify the boundary and the appropriate area of the mapping units for CES. The multi-dimensional indicator framework included geo-hydrological indicator (GI), economic indicator (EI) and social management indicator (SMI). The OATMU for each indicator was determined by seeking the inflection point in the second-order derivative of the power function. The minimum value of the OATMU for each indicator was obtained as the OATMU for CES. Finally, the OATMU for CES was validated by comparing it with the area of administrative villages in the river basin. The results showed the OATMU for CES was 3.60 km 2 . This study adopted OATMU identification, with easy access to basic data and simplified calculation methods, to provide clear and generic technical support for optimizing CES mapping.

Keywords: watershed landscapes; mapping units; CES assessment; minimal unit; multi-dimensional indicators (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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