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Updated: Sep 20, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

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Published on: July 24, 2016

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Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation.

Lifang Fan1,2

  • 1School of Resources and Environmental Science, Hubei University, Wuhan 430062, China.

Computational Intelligence and Neuroscience
|June 9, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a big data framework for evaluating wetland ecosystem services. China

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Area of Science:

  • Ecological economics
  • Environmental science
  • Big data analytics

Background:

  • Wetland ecosystem services are crucial but challenging to value due to geographical heterogeneity.
  • Big data technologies offer new opportunities for comprehensive ecosystem assessment.

Purpose of the Study:

  • To develop and apply a big data coupling analysis framework for evaluating wetland ecosystem services.
  • To assess the spatial attributes of wetland ecosystem services using a big data approach.

Main Methods:

  • Proposed a wetland dimension-oriented framework utilizing big data coupling analysis.
  • Employed China's coastal wetlands as a case study for empirical research.
  • Integrated data from Wetland Ecosystem Observation Networks and remote sensing Earth observation.

Main Results:

  • Developed a wetland ecological big data observation system by combining observation networks and remote sensing.
  • Calculated the service value of China's coastal wetland ecosystem to be 5010.32 × 10^8 yuan.
  • Demonstrated the framework's ability to address geographical heterogeneity.

Conclusions:

  • The proposed big data framework effectively evaluates wetland ecosystem service values.
  • The findings provide valuable insights for wetland protection and management strategies.
  • Highlights the future research directions for wetland ecosystem service valuation in the big data era.