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Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services

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  • Foody, G.M.

Abstract

Valuations of ecosystem services often use data on land cover class areal extent. Area estimates from land cover maps may be biased by misclassification error resulting in flawed assessments and inaccurate valuations. Adjustment for misclassification error is possible for maps subjected to a rigorous validation programme including an accuracy assessment. Unfortunately, validation is rare and/or poorly undertaken as often not regarded as a high priority. The benefit of map validation and hence its value is indicated with two maps. The International Geosphere Biosphere Programme's DISCover map was used to estimate wetland value globally. The latter changed from US$ 1.92trillionyr−1 to US$ 2.79trillionyr−1 when adjusted for misclassification bias. For the conterminous USA, ecosystem services value based on six land cover classes from the National Land Cover Database (2006) changed from US$ 1118billionyr−1 to US$ 600billionyr−1 after adjustment for misclassification bias. The effect of error-adjustment on the valuations indicates the value of map validation to rigorous evidence-based science and policy work in relation to aspects of natural capital. The benefit arising from validation was orders of magnitude larger than mapping costs and it is argued that validation should be a high priority in mapping programmes and inform valuations.

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  • Foody, G.M., 2015. "Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services," Ecological Economics, Elsevier, vol. 111(C), pages 23-28.
  • Handle: RePEc:eee:ecolec:v:111:y:2015:i:c:p:23-28
    DOI: 10.1016/j.ecolecon.2015.01.003
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    3. Venter, Zander S. & Czúcz, Bálint & Stange, Erik & Nowell, Megan S. & Simensen, Trond & Immerzeel, Bart & Barton, David N., 2024. "‘Uncertainty audit’ for ecosystem accounting: Satellite-based ecosystem extent is biased without design-based area estimation and accuracy assessment," Ecosystem Services, Elsevier, vol. 66(C).
    4. Xiaohui Ding & Chen Zhou & Volker Mauerhofer & Weizhou Zhong & Guoping Li, 2019. "From Environmental Soundness to Sustainable Development: Improving Applicability of Payment for Ecosystem Services Scheme for Diverting Regional Sustainability Transition in Developing Countries," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    5. Wei Jiang & Bojie Fu & Yihe Lü, 2020. "Assessing Impacts of Land Use/Land Cover Conversion on Changes in Ecosystem Services Value on the Loess Plateau, China," Sustainability, MDPI, vol. 12(17), pages 1-26, September.
    6. Yanru Wang & Xiaojuan Zhang & Peihao Peng, 2021. "Spatio-Temporal Changes of Land-Use/Land Cover Change and the Effects on Ecosystem Service Values in Derong County, China, from 1992–2018," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    7. Jiang, Wei & Lü, Yihe & Liu, Yuanxin & Gao, Wenwen, 2020. "Ecosystem service value of the Qinghai-Tibet Plateau significantly increased during 25 years," Ecosystem Services, Elsevier, vol. 44(C).
    8. Yi, Hoonchong & Güneralp, Burak & Filippi, Anthony M. & Kreuter, Urs P. & Güneralp, İnci, 2017. "Impacts of Land Change on Ecosystem Services in the San Antonio River Basin, Texas, from 1984 to 2010," Ecological Economics, Elsevier, vol. 135(C), pages 125-135.
    9. Dong, Ming & Bryan, Brett A. & Connor, Jeffery D. & Nolan, Martin & Gao, Lei, 2015. "Land use mapping error introduces strongly-localised, scale-dependent uncertainty into land use and ecosystem services modelling," Ecosystem Services, Elsevier, vol. 15(C), pages 63-74.

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