GIS-based integration of interdisciplinary ecological data to detect land-cover changes in Creek Mangroves at Gazi Bay, Kenya

P. T Obade, F Dahdouh-Guebas, N Koedam, R De Wulf, Jurgen Tack

    Research output: Contribution to journalA2: Article in a journal with peer review, not included in A1

    Abstract

    Historic environmental, faunal, floral and socioeconomic data of Gazi Bay in coastal Kenya were collated and integrated into a GIS environment and data of impacts due to various factors were then related to remotely sensed data. Rhizophora mucronata, a valuable mangrove species, was investigated. Very low values of basal area (7.7 m2/ha and 4.9 m2/ha) and complexity indices (1.86 and 1.12) at Makongeni and Kinondo 1, respectively, reflected intense human pressure in these areas. Areas that were easily accessible or close to human settlements appeared more vulnerable. Accrued information from a socioeconomic survey carried out over the same period corroborates the hypothesis that human influence was a major contributor to these changes. Historic aerial photographs together with satellite imagery indicate less than 20% decrease in coverage of R. mucronata between 1965 and 1992, but an increase of almost 35% in sand cover over the same period. The approach that was used in this study, one largely unprecedented in the East African region, was useful in drawing the conclusion that human influence was the most probable trigger of the observed changes.
    Original languageEnglish
    JournalWestern Indian Ocean Journal of Marine Science
    Volume3
    Issue number1
    Pages (from-to)11-27
    Number of pages17
    Publication statusPublished - 2004

    Fingerprint Dive into the research topics of 'GIS-based integration of interdisciplinary ecological data to detect land-cover changes in Creek Mangroves at Gazi Bay, Kenya'. Together they form a unique fingerprint.

    Cite this