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PEWI: An interactive web-based ecosystem service model for a broad public audience

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  • Chennault, Carrie M.
  • Valek, Robert M.
  • Tyndall, John C.
  • Schulte, Lisa A.

Abstract

We present an open source web application and ecosystem services model, People in Ecosystems/Watershed Integration (PEWI). PEWI integrates ecological models within an intuitive interface, allowing users to rapidly and dynamically evaluate how changes to agricultural land cover, use, and management affect ecosystem service outcomes. Users create and evaluate land-use and management scenarios in a virtual watershed across years and variable weather conditions using spatially explicit environmental patterns and dynamic feedback on 16 ecosystem service indicators. Indicators include agricultural production (i.e., crop and livestock) and environmental outcomes (i.e., water quality, habitat provision for biodiversity, soil quality, and carbon management). We based initial indicator equations on literature review, empirical data, existing models, and expert consultation, and finalized equations using a combination of testing, sensitivity analysis, and expert review. Model results allow users to explore nuanced tradeoffs and co-benefits between types and levels of agricultural products and other ecosystem services generated in a watershed. PEWI's niche as an ecological model is as a tool for engaging broad public audiences in understanding the science and management of landscapes and watersheds.

Suggested Citation

  • Chennault, Carrie M. & Valek, Robert M. & Tyndall, John C. & Schulte, Lisa A., 2020. "PEWI: An interactive web-based ecosystem service model for a broad public audience," Ecological Modelling, Elsevier, vol. 431(C).
    • Handle: RePEc:eee:ecomod:v:431:y:2020:i:c:s0304380020302362
    DOI: 10.1016/j.ecolmodel.2020.109165
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    References listed on IDEAS

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    1. Bagstad, Kenneth J. & Semmens, Darius J. & Waage, Sissel & Winthrop, Robert, 2013. "A comparative assessment of decision-support tools for ecosystem services quantification and valuation," Ecosystem Services, Elsevier, vol. 5(C), pages 27-39.
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    4. Ferdinando Villa & Kenneth J Bagstad & Brian Voigt & Gary W Johnson & Rosimeiry Portela & Miroslav Honzák & David Batker, 2014. "A Methodology for Adaptable and Robust Ecosystem Services Assessment," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-18, March.
    5. Lal, R., 2011. "Sequestering carbon in soils of agro-ecosystems," Food Policy, Elsevier, vol. 36(Supplemen), pages 33-39, January.
    6. Brandes, Elke & McNunn, Gabriel Sean & Schulte, Lisa A. & Bonner, Ian J. & Muth, D. J. & Babcock, Bruce A. & Sharma, Bhavna & Heaton, Emily A., 2016. "Subfield profitability analysis reveals an economic case for cropland diversification," ISU General Staff Papers 3442, Iowa State University, Department of Economics.
    7. García-Barrios, L.E. & Speelman, E.N. & Pimm, M.S., 2008. "An educational simulation tool for negotiating sustainable natural resource management strategies among stakeholders with conflicting interests," Ecological Modelling, Elsevier, vol. 210(1), pages 115-126.
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    1. Schirpke, Uta & Ghermandi, Andrea & Sinclair, Michael & Van Berkel, Derek & Fox, Nathan & Vargas, Leonardo & Willemen, Louise, 2023. "Emerging technologies for assessing ecosystem services: A synthesis of opportunities and challenges," Ecosystem Services, Elsevier, vol. 63(C).

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