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Quantifying Spatial Variation in Ecosystem Services Demand: A Global Mapping Approach

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  • Wolff, S.
  • Schulp, C.J.E.
  • Kastner, T
  • Verburg, P.H.

Abstract

Understanding the spatial-temporal variability in ecosystem services (ES) demand can help anticipate externalities of land use change. This study presents new operational approaches to quantify and map demand for three non-commodity ES on a global scale: animal pollination, wild medicinal plants and outdoor recreation. We show how the demand for these ES differs between beneficiaries and world regions. While the demand for animal pollination is accounted for via the consumption preferences for pollinator-dependent crop products, the demand for wild medicinal plants is quantified by the direct reliance on wild medicinal plants for basic healthcare needs. The demand for outdoor recreation is represented by the possibility and interest to participate in related activities. For animal pollination and outdoor recreation, demand is highest in industrial countries; demand for wild medicinal plants is highest in least developed countries, given their direct reliance on this ES for healthcare. Spatial demand-supply mismatches can cause trade-offs between ES in distant provisioning areas and can lead to unintended impacts on human well-being. The study reveals that quantifying and mapping spatial patterns of ES demand on a global scale requires clear conceptualization and operationalization of specific ES to select the most appropriate methods and arrive at meaningful results.

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  • Wolff, S. & Schulp, C.J.E. & Kastner, T & Verburg, P.H., 2017. "Quantifying Spatial Variation in Ecosystem Services Demand: A Global Mapping Approach," Ecological Economics, Elsevier, vol. 136(C), pages 14-29.
    • Handle: RePEc:eee:ecolec:v:136:y:2017:i:c:p:14-29
    DOI: 10.1016/j.ecolecon.2017.02.005
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    12. Yujiang Yan & Jiangui Li & Junli Li & Teng Jiang, 2023. "Spatio-Temporal Measurement and Driving Factor Analysis of Ecosystem Service Trade-Offs and Synergy in the Kaidu–Kongque River Basin, Xinjiang, China," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    13. Derek Sheehan & Katrina Mullan & Thales A. P. West & Erin O. Semmens, 2024. "Protecting Life and Lung: Protected Areas Affect Fine Particulate Matter and Respiratory Hospitalizations in the Brazilian Amazon Biome," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 45-87, January.
    14. Jie Xu & Pengnan Xiao, 2022. "A Bibliometric Analysis on the Effects of Land Use Change on Ecosystem Services: Current Status, Progress, and Future Directions," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    15. Agudelo, César Augusto Ruiz & Bustos, Sandra Liliana Hurtado & Moreno, Carmen Alicia Parrado, 2020. "Modeling interactions among multiple ecosystem services. A critical review," Ecological Modelling, Elsevier, vol. 429(C).
    16. Klapper, Johanna & Schröter, Matthias, 2021. "Interregional flows of multiple ecosystem services through global trade in wild species," Ecosystem Services, Elsevier, vol. 50(C).
    17. Siyu Zhang & Weiyan Hu & Jiaojiao Zhang & Mengran Li & Qingying Zhu, 2020. "Mismatches in Suppliers’ and Demanders’ Cognition, Willingness and Behavior with Respect to Ecological Protection of Cultivated Land: Evidence from Caidian District, Wuhan, China," IJERPH, MDPI, vol. 17(4), pages 1-15, February.
    18. Jin Sun & Liming Liu & Klaus Müller & Peter Zander & Guoping Ren & Guanyi Yin & Yingjie Hu, 2018. "Surplus or Deficit? Spatiotemporal Variations of the Supply, Demand, and Budget of Landscape Services and Landscape Multifunctionality in Suburban Shanghai, China," Sustainability, MDPI, vol. 10(10), pages 1-21, October.

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