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Medientyp:
E-Artikel
Titel:
Use of geographical information system and remote sensing techniques for planning culture‐based fisheries in non‐perennial reservoirs of Sri Lanka
Beteiligte:
Wijenayake, W. M. Hiranya Kelum;
Gunaratne, A. B. Ajith Kumara;
De Silva, Sena S.;
Amarasinghe, Upali S.
Erschienen:
Wiley, 2014
Erschienen in:Lakes & Reservoirs: Science, Policy and Management for Sustainable Use
Beschreibung:
<jats:title>Abstract</jats:title><jats:p>The presence of a wide areal extent of small‐sized village reservoirs offers a considerable potential for the development of culture‐based fisheries (<jats:styled-content style="fixed-case">CBF</jats:styled-content>s) in Sri Lanka. To this end, this study uses geographical information systems (<jats:styled-content style="fixed-case">GIS</jats:styled-content>s) and remote sensing (<jats:styled-content style="fixed-case">RS</jats:styled-content>) techniques to determine the morphometric and biological characteristics most useful for classifying non‐perennial reservoirs for <jats:styled-content style="fixed-case">CBF</jats:styled-content> development and for assessing the influence of catchment land‐use patterns on potential <jats:styled-content style="fixed-case">CBF</jats:styled-content> yields. The reservoir shorelines at full water supply level were mapped with a Global Positioning System to determine shoreline length and reservoir areal extent. The ratio of shoreline length to reservoir extent, which was reported to be a powerful predictor variable of <jats:styled-content style="fixed-case">CBF</jats:styled-content> yields, could be reliably quantified using <jats:styled-content style="fixed-case">RS</jats:styled-content> techniques. The areal extent of reservoirs, quantified with <jats:styled-content style="fixed-case">RS</jats:styled-content> techniques (<jats:styled-content style="fixed-case">RS</jats:styled-content> extent), was used to estimate the ratio of forest cover plus scrubland cover to <jats:styled-content style="fixed-case">RS</jats:styled-content> extent and was found to be significantly related to the <jats:styled-content style="fixed-case">CBF</jats:styled-content> yield (R<jats:sup>2</jats:sup> = 0.400; <jats:italic>P</jats:italic> < 0.05). The results of this study indicated that morphometric characteristics and catchment land‐use patterns, which might be viewed as indices of biological productivity, can be quantified using <jats:styled-content style="fixed-case">RS</jats:styled-content> and <jats:styled-content style="fixed-case">GIS</jats:styled-content> techniques.</jats:p>