Revealing Spatial Patterns of Cultural Ecosystem Services in Four Agricultural Landscapes: A Case Study from Hangzhou, China

Shan He, Chenxia Hu, Jianfeng Li, Jieyi Wu, Qian Xu, Lin Lin, Congmou Zhu, Yongjun Li, Mengmeng Zhou and Luyao Zhu
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Shan He: College of Economics and Management, China Jiliang University, Hangzhou 310018, China
Chenxia Hu: College of Economics and Management, China Jiliang University, Hangzhou 310018, China
Jianfeng Li: College of Economics and Management, China Jiliang University, Hangzhou 310018, China
Jieyi Wu: College of Economics and Management, China Jiliang University, Hangzhou 310018, China
Qian Xu: College of Economics and Management, China Jiliang University, Hangzhou 310018, China
Lin Lin: College of Humanities and Foreign Languages, China Jiliang University, Hangzhou 310018, China
Congmou Zhu: Department of Land Resources Management, Zhejiang Gongshang University, Hangzhou 310018, China
Yongjun Li: College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China
Mengmeng Zhou: School of Business, Changzhou University, Changzhou 213164, China
Luyao Zhu: College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China

IJERPH, 2022, vol. 19, issue 15, 1-14

Abstract: Monitoring and mapping agricultural cultural ecosystem services (CES) is essential, especially in areas with a sharp contradiction between agricultural land protection and urban development. Despite research assessing CES increasing exponentially in recent years, our knowledge of the CES of agricultural landscapes is still inadequate. This study used four types of agricultural landscapes in Hangzhou, China, as the study area, analyzed their CES spatial patterns, and explored their societal preferences by integrating the multi-sourced datasets, clustering algorithms, and Maxent model. The results indicated that hot spots of agricultural CES correspond to river valley plains, which were also easily vulnerable to urbanization. Moreover, we found that the CES level of paddy field and dry farmland were higher than tea garden and orchard. Based on the above spatial patterns of supply, demand, and flow of CES, we identified four groups of agricultural land by cluster analysis, distinguishing between significant, unimportant, little used, and potential CES. Further, our results showed that natural and human factors could explain societal preferences. This study can provide a valuable basis for stakeholders to develop balanced strategies by the aforementioned results.

Keywords: cultural ecosystem services; agricultural landscape; spatial patterns; societal preference (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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