Cost–benefit analysis of mangrove ecosystems in flood risk reduction: A case study of the Tana Delta, Kenya

Joseph Karanja and Saito, Osamu, (2017). Cost–benefit analysis of mangrove ecosystems in flood risk reduction: A case study of the Tana Delta, Kenya. Sustainability Science, 1-14

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  • Sub-type Journal article
    Author Joseph Karanja
    Saito, Osamu
    Title Cost–benefit analysis of mangrove ecosystems in flood risk reduction: A case study of the Tana Delta, Kenya
    Appearing in Sustainability Science
    Publication Date 2017-03-03
    Place of Publication Tokyo
    Publisher Springer Japan
    Start page 1
    End page 14
    Language eng
    Abstract Mangrove ecosystems are valuable and productive coastal ecosystems that provide several ecosystem services. Nevertheless, trivialization of the value of mangrove ecosystems has led to their decline at an annual global rate of 1–2%. Degradation undermines the resilience of these ecosystems and threatens the continuous supply of goods and services that they provide. Diverse mangroves that contribute to the well-being of coastal communities characterize Kenya’s coastal region. Despite their importance, 0.7% of the mangroves are destroyed annually. In this study, the value of mangroves with regard to coastal flood risk reduction was estimated via a case study of the Tana Delta, Kenya. The valuation was calculated using the total economic value framework where both direct and indirect use values that influence flood risk are calculated using flood-avoided damage approach and local market prices. For comparative purposes, all the estimates presented in this paper were standardized to the 2015 US$/ha equivalent value using the United States Consumer Price Index for all urban consumers. The net value of mangroves for flood reduction was estimated to be between US$238/ha/yr and US$311/ha/yr. The skewed distribution was largely attributed to a variation in flood frequency and mangrove forest density.
    UNBIS Thesaurus FLOODS
    ECOSYSTEMS
    KENYA
    COST-BENEFIT ANALYSIS
    Copyright Holder The Authors
    Copyright Year 2017
    Copyright type All rights reserved
    ISBN 18624057
    DOI 10.1007/s11625-017-0427-3
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