Spatio-temporal explicit mapping and quantification of ecosystem services provision area: An application for wind erosion prevention service in northern China

被引:0
|
作者
Yin, Hang [1 ,2 ]
Xu, Liyan [1 ]
Ning, Jing [1 ]
Lu, Qing [1 ,2 ]
机构
[1] Peking Univ, Coll Architecture & Landscape Architecture, 5 Summer Palace Rd, Beijing 100871, Peoples R China
[2] Peking Univ, Coll Urban & Environm Sci, 5 Summer Palace Rd, Beijing 100871, Peoples R China
关键词
Wind erosion prevention service; Ecosystem service flows; Service provision areas; Service benefit areas; Spatio-temporal explicit mapping; FLOW; DYNAMICS; DEMAND; CAPACITY; PAYMENTS; PROGRAM; RWEQ;
D O I
10.1016/j.ecolind.2023.111132
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Many ecosystem service (ES) items, such as the wind erosion prevention service (WEPS), have spatially separated service provision and benefit areas (SPA & SBA), which are connected by directional ecosystem services flows (ESF). Clarifying the specific spatial relationships between the SPA and SBA is of potential scientific and policy importance for such directional flow-conveyed ES. Much of the existing research has focused on the identification of SBA based on a given SPA. However, due to the asymmetry of supply-based and demand-based ESFs and geospatial heterogeneity, this relationship cannot be directly inferred backward to obtain the SPA for a given SBA. In this paper, we propose a methodological framework along with computational methods to delineate the SPA of a given SBA. Our methods feature ESF carrier dynamics-based algorithms to determine the specific path of the ESF which is enabled by an adapted Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, as well as quantification approaches for evaluating the actual realization of ecosystem services value (RESV) with the support of the Revised Wind Erosion Equation (RWEQ) model. We demonstrate the applicability of our methods with the example of three mega-cities in northern China that are severely affected by the wind erosion problem. The results show that the spatial distribution of wind erosion source areas in the three cities are different, and the SPA based on the trajectory weights shows a decreasing trend from the city center to periphery, with those in the cities of Beijing and Taiyuan mainly concentrated in the northwestern direction, while the high RESV zones in the SPA are mainly concentrated in the desert areas. In the time series, wind erosion affecting these three cities mainly occurred in late April and May. The study provides a methodological and empirical basis for applied ecological analysis including the delineation of the ecological hinterlands of cities, or the formulation of precise ecological compensation programs.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Integrating key ecosystem services to study the spatio-temporal dynamics and determinants of ecosystem health in Wuhan's central urban area
    Han, Pingyang
    Hu, Haozhi
    Zhou, Jiayan
    Wang, Min
    Zhou, Zhixiang
    ECOLOGICAL INDICATORS, 2024, 166
  • [32] Spatio-temporal variation of ecosystem services value in the Northern Tianshan Mountain Economic zone from 1980 to 2030
    Shi, Lei
    Halik, Umut
    Mamat, Zulpiya
    Wei, Zhicheng
    PEERJ, 2020, 8
  • [33] Spatio-Temporal Relationship between Land Use Carbon Emissions and Ecosystem Service Value in Guanzhong, China
    Zhang, Ruijie
    Yu, Kanhua
    Luo, Pingping
    Chaplot, Vincent
    LAND, 2024, 13 (01)
  • [34] Preliminary Evaluation and Spatio-Temporal Evolution Characteristics of the Ecosystem Service Value in Jiangsu Province, East China
    Jiang, Lifu
    Hu, Sai
    Li, Xiaoping
    Han, Bing
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2024, 33 (01): : 697 - 710
  • [35] Urban expansion simulation and the spatio-temporal changes of ecosystem services, a case study in Atlanta Metropolitan area, USA
    Sun, Xiao
    Crittenden, John C.
    Li, Feng
    Lu, Zhongming
    Dou, Xiaolin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 : 974 - 987
  • [36] Spatio-temporal interaction and constraint effects between ecosystem services and human activity intensity in Shaanxi Province,China
    An, Qimin
    Yuan, Xuefeng
    Zhang, Xinrong
    Yang, Yue
    Chen, Jinhong
    An, Jianji
    ECOLOGICAL INDICATORS, 2024, 160
  • [37] Analyzing spatio-temporal changes and trade-offs to support the supply of multiple ecosystem services in Beijing, China
    Sun, Xiao
    Lu, Zhongming
    Li, Feng
    Crittenden, John C.
    ECOLOGICAL INDICATORS, 2018, 94 : 117 - 129
  • [38] Computing payments for wind erosion prevention service incorporating ecosystem services flow and regional disparity in Yanchi County
    Xu, Jie
    Xiao, Yu
    Xie, Gaodi
    Wang, Yangyang
    Jiang, Yuan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 674 : 563 - 579
  • [39] An approach to assess spatio-temporal heterogeneity of rural ecosystem health: A case study in Chongqing mountainous area, China
    Liu, Yu
    Yang, Chun
    Tan, Shaohua
    Zhou, Hantao
    Zeng, Wei
    ECOLOGICAL INDICATORS, 2022, 136
  • [40] Spatio-Temporal Patterns of Ecosystem Services Provided by Urban Green Spaces and Their Equity along Urban-Rural Gradients in the Xi'an Metropolitan Area, China
    Peng, Lixian
    Zhang, Liwei
    Li, Xupu
    Wang, Pengtao
    Zhao, Wudong
    Wang, Zhuangzhuang
    Jiao, Lei
    Wang, Hao
    REMOTE SENSING, 2022, 14 (17)