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Identifying spatial priorities for protecting ecosystem services.

Gary W Luck1, Kai Ma Chan2, Carissa J Klien3

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Summary
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Identifying ecosystem service priorities is key for human well-being. This study proposes a framework to better map and manage these vital services, considering supply, demand, and alternatives.

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Area of Science:

  • Ecology
  • Environmental Management
  • Conservation Science

Background:

  • Broad-scale spatial prioritization of ecosystem services is crucial for human well-being and conservation.
  • Existing methods often overlook key components like service supply, demand, and alternatives.
  • Alignment between ecosystem service protection and biodiversity conservation goals depends on the prioritization method used.

Purpose of the Study:

  • To review current approaches for broad-scale spatial prioritization of ecosystem services.
  • To identify limitations in existing methods, particularly the omission of critical components.
  • To propose a conceptual framework for a more comprehensive spatial prioritization of ecosystem services.

Main Methods:

  • Literature review of studies on broad-scale spatial prioritization of ecosystem services.
  • Analysis of components required for effective ecosystem service prioritization (supply, alternatives, demand, scale).
  • Development and illustration of a conceptual framework using water provision as a case study.

Main Results:

  • Most reviewed studies use diverse methods and do not incorporate all essential components for ecosystem service prioritization.
  • A significant gap exists in fully characterizing the biophysical and social contexts of ecosystem services.
  • The proposed framework integrates supply, alternatives, demand, and scale for improved prioritization.

Conclusions:

  • A comprehensive approach is needed to effectively prioritize ecosystem services for management.
  • Integrating all key components will improve the accuracy and utility of spatial prioritization efforts.
  • This framework can guide future research and identify cost-effective locations for ecosystem service management.