2016
DOI: 10.1007/978-3-319-43633-3_2
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Valuing Ecosystems as an Economic Part of Climate-Compatible Development Infrastructure in Coastal Zones of Kenya & Sri Lanka

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Cited by 10 publications
(6 citation statements)
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“…Here we provide an overview of the methods used; more detailed information is available from Emerton (2014) and Huxham (2013). Figures are expressed as net values, the costs of harvesting, producing or using ecosystem services are deducted, and at constant, 2014 prices.…”
Section: Valuation Methodsmentioning
confidence: 99%
“…Here we provide an overview of the methods used; more detailed information is available from Emerton (2014) and Huxham (2013). Figures are expressed as net values, the costs of harvesting, producing or using ecosystem services are deducted, and at constant, 2014 prices.…”
Section: Valuation Methodsmentioning
confidence: 99%
“…For example, values may be inflated as they are estimated from global values, such as those from Costanza et al (2014), who originally created values by statistically extrapolating value estimates to entire biomes (Pendleton et al, 2015). Moreover, benefit transfer values can be laden with inaccuracies due to the use of values for one site that were originally calculated for another biophysically, ecologically and socioeconomically distinct location (Emerton, 2014;Himes-Cowell et al, 2018b). Valuation studies that rely heavily on benefit transfer data (secondary data) also suffer from insufficient primary studies or meta-analyses that include comprehensive socio-economic information (Himes-Cornell et al, 2018b), which could be vital to decision making.…”
Section: Introductionmentioning
confidence: 99%
“…An important attribute for the classification of the studies included in the database is the location of the mangrove forest to be investigated. Table 1 presents an overview of the database, and details the countries, in which mangrove forests were objects of research on the valuation of ecosystem services (detailed references are presented in the reference list: [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 ])...…”
Section: Descriptive Resultsmentioning
confidence: 99%