Journal
ECOLOGICAL ECONOMICS
Volume 111, Issue -, Pages 23-28Publisher
ELSEVIER
DOI: 10.1016/j.ecolecon.2015.01.003
Keywords
Remote sensing; Map accuracy; Misclassification bias; Valuation error
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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$ 1.92 trillion yr(-1) to US$ 2.79 trillion yr(-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$ 1118 billion yr(-1) to US$ 600 billion yr(-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. (C) 2015 Elsevier B.V. All rights reserved.
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