{"refrec":{"BRefID":254478,"RR":"<b>Ghermandi, A.; Nunes, P.A.L.D.</b> (2013). A global map of coastal recreation values: results from a spatially explicit meta-analysis. <i>Ecol. Econ. 86</i>: 1-15. <a href=\"https://dx.doi.org/10.1016/j.ecolecon.2012.11.006\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecolecon.2012.11.006</a>","BEntID":246303,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Ecol. Econ. 86</i>: 1-15. <a href=\"https://dx.doi.org/10.1016/j.ecolecon.2012.11.006\" target=\"_blank\">https://dx.doi.org/10.1016/j.ecolecon.2012.11.006</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Ghermandi, A.; Nunes, P.A.L.D.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Ghermandi, A.; Nunes, P.A.L.D.","Englishabstract":"This paper examines the welfare dimension of the recreational services of coastal ecosystems. First, we construct a global database of primary valuation studies that focus on recreational benefits of coastal ecosystems. Second, the profile of each of the 253 individual observations is enriched with characteristics of the built coastal environment (accessibility, anthropogenic pressure, human development level), natural coastal environment (presence of protected area, ecosystem type, marine biodiversity), geo-climatic factors (temperature, precipitation), and sociopolitical context. We then propose a meta-analytical framework that is built upon a Geographic Information System (GIS) and allow for the exploration of the spatial dimension of the valued ecosystems, including the role of spatial heterogeneity of the selected meta-regression variables as well as the spatial profile of the transferred values. 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