...
首页> 外文期刊>Lakes & Reservoirs >Use of geographical information system and remote sensing techniques for planning culture-based fisheries in non-perennial reservoirs of Sri Lanka
【24h】

Use of geographical information system and remote sensing techniques for planning culture-based fisheries in non-perennial reservoirs of Sri Lanka

机译:利用地理信息系统和遥感技术规划斯里兰卡非多年生水库中以文化为基础的渔业

获取原文
获取原文并翻译 | 示例
           

摘要

The presence of a wide areal extent of small-sized village reservoirs offers a considerable potential for the development of culture-based fisheries (CBFs) in Sri Lanka. To this end, this study uses geographical information systems (GISs) and remote sensing (RS) techniques to determine the morphometric and biological characteristics most useful for classifying non-perennial reservoirs for CBF development and for assessing the influence of catchment land-use patterns on potential CBF 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 CBF yields, could be reliably quantified using RS techniques. The areal extent of reservoirs, quantified with RS techniques (RS extent), was used to estimate the ratio of forest cover plus scrubland cover to RS extent and was found to be significantly related to the CBF yield (R~2 = 0.400; P < 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 RS and GIS techniques.
机译:范围广泛的小型乡村水库的存在为斯里兰卡发展以养殖为基础的渔业提供了巨大潜力。为此,本研究使用地理信息系统(GIS)和遥感技术(RS)来确定形态学和生物学特征,这些特征对于对CBF开发的非多年生水库进行分类以及评估流域土地利用方式对CBF的影响最有用。潜在的CBF产量。使用全球定位系统绘制满水位的水库岸线,以确定海岸线长度和水库面积。据报道,海岸线长度与储层范围之比是CBF产量的有力预测变量,可以使用RS技术可靠地量化。用RS技术定量的水库面积范围(RS范围)用于估算森林覆盖率和灌丛覆盖率对RS范围的比率,发现与CBF产量显着相关(R〜2 = 0.400; P < 0.05)。这项研究的结果表明,形态学特征和流域土地利用模式可以被视为生物生产力的指标,可以使用RS和GIS技术进行量化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号