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Increasing decision relevance of ecosystem service science

Author

Listed:
  • Lisa Mandle

    (Stanford University)

  • Analisa Shields-Estrada

    (The University of Texas at Austin)

  • Rebecca Chaplin-Kramer

    (Stanford University)

  • Matthew G. E. Mitchell

    (University of British Columbia
    University of British Columbia)

  • Leah L. Bremer

    (University of Hawaiʻi Economic Research Organization
    University of Hawaiʻi Water Resources Research Center)

  • Jesse D. Gourevitch

    (University of Vermont
    University of Vermont)

  • Peter Hawthorne

    (University of Minnesota)

  • Justin A. Johnson

    (University of Minnesota)

  • Brian E. Robinson

    (McGill University)

  • Jeffrey R. Smith

    (Stanford University)

  • Laura J. Sonter

    (University of Vermont
    The University of Queensland
    The University of Queensland)

  • Gregory M. Verutes

    (Stanford University
    Universidade de Santiago de Compostela)

  • Adrian L. Vogl

    (Stanford University)

  • Gretchen C. Daily

    (Stanford University
    Stanford University)

  • Taylor H. Ricketts

    (University of Vermont
    University of Vermont)

Abstract

The ecosystem service (ES) community aspires to illuminate how nature contributes to human well-being, and thereby elevate consideration of nature in decision making. So far, however, policy impact of ES research has been limited. To understand why, we identify five key elements of ES research that help inform decisions by connecting the supply of ES to those who benefit from them. Our structured review of the ES literature reveals that only 13% of assessments included the full ES chain from place to value. Only 7% of assessments considered the distribution of ES benefits explicitly across demographic or other beneficiary groups (for example, private landowners versus the broader public), although disaggregation across regions or spatial units was more common (44%). Finally, crucial mediating factors that affect who benefits and how (for example, the vulnerability of beneficiaries or the availability of substitutes for ES) were considered in only 35% of assessments. Our results suggest that increasing the decision relevance of ES research requires more effectively predicting the impacts of specific decisions on the value and distribution of ES across beneficiary groups. Such efforts will need to integrate ecological models with socioeconomic and cultural dimensions of ES more closely than does the current ES literature.

Suggested Citation

  • Lisa Mandle & Analisa Shields-Estrada & Rebecca Chaplin-Kramer & Matthew G. E. Mitchell & Leah L. Bremer & Jesse D. Gourevitch & Peter Hawthorne & Justin A. Johnson & Brian E. Robinson & Jeffrey R. Sm, 2021. "Increasing decision relevance of ecosystem service science," Nature Sustainability, Nature, vol. 4(2), pages 161-169, February.
  • Handle: RePEc:nat:natsus:v:4:y:2021:i:2:d:10.1038_s41893-020-00625-y
    DOI: 10.1038/s41893-020-00625-y
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