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A conservation decision-making framework based on ecosystem service hotspot and interaction analyses on multiple

Ying Hou1, Bo Li2, Felix Müller3

  • 1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.

The Science of the Total Environment
|June 26, 2018
PubMed
Summary

This study introduces a decision-making framework for ecosystem service (ES) conservation, using hotspot mapping across multiple scales. The framework aids in identifying conservation priorities and tailoring policies for different administrative levels.

Keywords:
Administrative levelsConservation priorityEcosystem service modelingHotspot identificationScale dependencySpatial pattern

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Area of Science:

  • Ecology
  • Environmental Science
  • Conservation Planning

Background:

  • Ecosystem service (ES) hotspot mapping is crucial for identifying conservation priorities.
  • Spatial scale significantly influences the identification and management of ES hotspots.
  • Existing frameworks often lack integration across administrative levels.

Purpose of the Study:

  • To develop a decision-making framework for ES conservation using hotspot and interaction analyses.
  • To integrate multi-scale spatial analyses for conservation planning.
  • To provide a tool for decision-making at various administrative levels.

Main Methods:

  • Quantified six key ecosystem services: crop productivity, water yield, habitat quality, soil conservation, total phosphorus retention, and recreation potential.
  • Generated hotspot maps for single and multiple ES across pixel, sub-river basin, and river basin scales.
  • Analyzed correlations and overlaps between ES hotspots at different spatial scales.

Main Results:

  • Spatial patterns of ES hotspots and their interactions are scale-dependent.
  • Hotspot overlaps between different ES were generally poor and varied based on the services considered.
  • The study demonstrated the framework's applicability in the Dianchi Lake watershed, China.

Conclusions:

  • The developed framework effectively identifies decision-makers, priority conservation areas, and conservation strategies.
  • It facilitates tailored policy generation for regional and local administrative bodies.
  • The multi-scale approach enhances ES conservation planning and decision-making processes.