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Study on the spatial changes concerning ecosystem services value in Lhasa River Basin, China.

Lei Huang1,2, Chunli He3, Bo Wang3

  • 1Town and Country Planning Department, College of Tourism and Urban Rural Planning, Chengdu University of Technology, Chengdu, 610059, China. 18908174557@163.com.

Environmental Science and Pollution Research International
|September 4, 2021
PubMed
Summary

This study establishes a model to value ecosystem services in the Lhasa River Basin, finding significant regional differences. Scarcity and socio-economic factors heavily influence ecosystem service value, with the lower reaches showing the highest unit value.

Keywords:
ChinaEcological compensation mechanismEcosystem services valueLhasa River BasinLocation correctionSpatial changesWatershed

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Area of Science:

  • Environmental Economics
  • Ecosystem Valuation
  • Regional Ecological Assessment

Background:

  • Ecosystem services are crucial for human well-being and economic development.
  • Understanding the spatial variation in ecosystem service value is essential for effective environmental management.
  • The Lhasa River Basin faces unique challenges due to its specific natural and socio-economic context.

Purpose of the Study:

  • To develop a measurement model for quantifying ecosystem service value in the Lhasa River Basin.
  • To analyze the influence of natural and socio-economic factors on ecosystem service value.
  • To identify regional disparities in ecosystem service value across the basin.

Main Methods:

  • Established a study paradigm based on the principle of resource scarcity.
  • Incorporated natural and socio-economic location differences into the valuation model.
  • Calculated the total and unit ecosystem service values for different reaches of the basin.

Main Results:

  • The total ecosystem service value in the Lhasa River Basin is estimated at 104.503 billion yuan.
  • Unit ecosystem service value of natural grassland in the lower reaches is significantly higher than in the upper and middle reaches.
  • Ecosystem service value distribution shows distinct patterns, with the lower reaches contributing 74.35% of the total value.

Conclusions:

  • Ecosystem service value is significantly influenced by resource scarcity and socio-economic dependence.
  • Spatial heterogeneity in ecosystem service value is pronounced across the upper, middle, and lower reaches.
  • Findings support the development of targeted ecological compensation mechanisms and strategies for enhancing ecosystem service value.