Application of remote sensing and GIS in the management of mangrove forests within and adjacent to Kiunga Marine Protected Area, Lamu, Kenya

被引：30
作者：
Kairo J.G. [1 ,2 ]
Kivyatu B. [3 ]
Koedam N. [2 ]
机构：
[1] Kenya Marine and Fisheries Research Institute, Mombasa
[2] Laboratory of General Botany and Nature Management, Mangrove Management Group, Vrije Universiteit Brussel, Brussels B-1050
[3] Forest Department, Ministry of Environment and Natural Resources, Nairobi
来源：
Environment, Development and Sustainability | 2002年 / 4卷 / 2期
关键词：
GIS; Kenya; Kiunga; Mangrove management; Remote sensing;
D O I：
10.1023/A:1020890711588
中图分类号：
学科分类号：
摘要：
The status of mangroves within and adjacent to Kiunga Marine Protected Area (MPA) were assessed by means of aerial photographs and intensive ground truthing. Vegetation maps (1:25,000) were produced on GIS environment making it possible to store, retrieve and analyze various types of information very quickly. The maps together with the digitized information provide important tools to the management of mangroves of Kiunga MPA since various proposed treatments can now be entered and summarized thus providing useful overviews for planning, implementation and monitoring. The present inventory revealed that the existing mangrove forests within and adjacent to Kiunga MPA have a net standing volume of 2,354,004.85 m 3 in 16,035.94 ha. There are eight species of mangrove trees, of which Rhizophora mucronata and Ceriops tagal are dominant. The standing volume ranges between 6.85 to 710.0 m 3 ha -1 for stem with diameter above 5.0 cm. The average volume of the entire study area was 145.88 m 3 ha -1, which corresponds to a stocking rate of 1736 stems per ha. Given its high potential productivity and regeneration, mangroves within and adjacent to Kiunga MPA have excellent prospects for sustainable exploitation.
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页码：153 / 166
页数：13
相关论文
共 47 条
  • [1] Aksornkae S., Ecology and Management of Mangrove Forests, (1993)
  • [2] Aschbacher J., Ofren R., Delsol J.P., Suselo T.B., Vibulsresth S., An integrated comparative approach to mangrove vegetation mapping using advanced remote sensing and GIS technologies: Preliminary results, Hydrobiologia, 295, pp. 285-294, (1995)
  • [3] Blasco F., Gauquelin T., Rasolofoharinoro M., Denis J., Aizpuru M., Caldairou V., Recent advances in mangrove studies using remote sensing data, Marine Freshwater Research, 49, pp. 287-296, (1998)
  • [4] Boxem H.W., De. Meester T., Smaling E.M.A., Soils of the Kilifi Area, (1987)
  • [5] Brakel W.H., Seasonal dynamics of suspended-sediment plumes from the Tana and Sabaki Rivers, Kenya: Analysis of Landsat Imagery, Remote Sensing of the Environment, 16, pp. 165-173, (1984)
  • [6] Chong P.W., Proposed Integrated Forest Management Planning and Utilization of Mangrove Resources in the Terraba-Sierpe Reserve, Costa Rica, (1988)
  • [7] Cintron G., Schaeffer-Novelli Y., Methods for studying mangrove structure, The Mangrove Ecosystem: Research Methods, pp. 91-113, (1984)
  • [8] Dahdouh-Guebas F., Mathenge C., Kairo J.G., Koedam N., Utilization of mangrove wood products around Mida Creek (Kenya) among subsistence and commercial users, Economic Botany, 54, 4, pp. 513-527, (2000)
  • [9] Dahdouh-Guebas, Verheyden F.A., De. Genst W., Hettiarachchi S., Koedam N., Four decade vegetation dynamics in Sri Lankan mangroves as detected from sequential aerial photography: A case study in Galle, Bulletin of Marine Science, 67, 2, pp. 741-759, (2000)
  • [10] Davis J.H. Jr., The Ecology and Geological Role of Mangroves in Florida, 32, pp. 303-412, (1940)
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