Recreational Ecosystem Services in the Qinghai–Tibet Plateau National Park Group: Mapping, Monetization, and Evaluation

Mengqi Yuan, Fang Han (), Xuankai Ma, Tian Wang and Qixiang Liang
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Mengqi Yuan: State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Fang Han: State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Xuankai Ma: State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Tian Wang: State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Qixiang Liang: State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

Land, 2024, vol. 13, issue 5, 1-25

Abstract: Recreational ecosystem services (RESs) are the subset of ecosystem services (ESs) that contribute to human society through recreation, recreation opportunities, and experiences. Existing RESs mostly focus on a single recreational landscape; alternatively, when mapping RESs, multiple types of landscapes are often drawn together, ignoring the differences in recreational landscape (RL) types and affecting the accuracy of the mapping. At the same time, quantifying the monetary value of RESs has been a challenge due to the lack of market substitutes that can approximate the prices associated with these non-excludable goods. This study used the MaxENT model, then classified and used recreational resource POI data, combined with environmental data on the existence or generation of different types of RL, mapped RES from the perspective of RL supply, and conducted monetization and evaluations of RL. The results show that the models’ AUC values are all greater than 0.7, and the distribution of RL supply can be drawn relatively accurately. The Qinghai–Tibet Plateau National Park Group (QTPNPG) has the largest high-quality geomorphic recreational landscape (69,081.02 km 2 ), followed by a high-quality biological recreational landscape (59,348.65 km 2 ) and a high-quality hydrological recreational landscape (33,251.20 km 2 ). The national parks in the eastern part of the Qinghai–Tibet Plateau have a larger proportion of high-value areas of the RES. The total monetary value of the RES is CNY 8.323 billion, and the average monetary value of RES per unit area is CNY 20,200/km 2 . Our study optimizes the method of mapping RESs and provides a new way of quantifying the monetary value of RESs. The results can provide a reference for the recreational development of THE QTPNPG and its contribution to regional sustainable development.

Keywords: recreational ecosystem services; recreational landscape; the Qinghai–Tibet Plateau National Park Group; recreation priority areas (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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