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Associations among ecosystem services from local perspectives.

Shuna Xu1, Yanfang Liu2

  • 1School of Urban & Rural Planning and Landscape Architecture, Xuchang University, 88 Bayi Road, Xuchang, Henan Province, China; School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan, Hubei Province, China.

The Science of the Total Environment
|July 15, 2019
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Summary
This summary is machine-generated.

Global analysis of ecosystem services (ES) overlooks local variations. This study introduces a local association model, revealing that spatial heterogeneity significantly impacts ES relationships, necessitating localized management strategies.

Keywords:
Dynamic associationGlobal associationLocal association modelStatic associationSynergyTrade-off

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Area of Science:

  • Ecology
  • Environmental Science
  • Spatial Analysis

Background:

  • Existing research on ecosystem services (ES) relationships primarily uses a global perspective, neglecting spatial heterogeneity.
  • This oversight limits the accurate understanding and management of interconnected ecosystem functions.

Purpose of the Study:

  • To propose and validate a static local association model for analyzing pairwise ecosystem services.
  • To investigate the spatial variations in relationships among grain production, livestock production, soil conservation, and carbon sequestration.
  • To compare global and local association analyses for ecosystem services.

Main Methods:

  • Development of a static local association model for pairwise ecosystem services.
  • Application and testing of the model in the Ningxia Hui Autonomous Region, China.
  • Utilizing Spearman's correlation analysis for global comparisons and the proposed model for local assessments.

Main Results:

  • All six pairwise ecosystem service combinations showed significant global correlations.
  • Local analysis revealed reversed trends in some strongly correlated ES pairs and those with lower global coefficients.
  • Identified artifact-driven trade-offs and synergies, such as between grain and livestock production, and grain production and carbon sequestration in specific regions.

Conclusions:

  • Local association analysis provides nuanced insights into ecosystem service mechanisms at specific spatial locations.
  • Ecosystem service management requires localized strategies, as global relationships do not apply universally.
  • The proposed local association analysis is crucial for identifying region-specific ES issues and informing effective ecosystem management.