Abstract
Mangroves of the Marine National Park constitute the second largest patch of mangroves in Gujarat, extending up to 11,000 ha, comprising six species of mangroves. Earlier studies carried out using remote sensing data pertained to baseline data generation and mapping and monitoring the mangroves (density-wise) of the Park from 1975 to 1993. Using IRS IC/ID LISS III data (1998–2001) supported by ground data, the distribution of different mangrove communities in the Park has been attempted. Amongst various image-processing techniques, band ratioing followed by supervised classification gave the best result (classification accuracy was 92%).Avicennia community is the most dominant community accounting for more than 70% of the area. TheRhizophora community occupies the inward margins of the creeks and theCeriops community is present in the interior regions. The ecotone between the marsh and mangrove communities has been identified as the transitional mangroves (Avicennia alba, Sueada), representing the transition from the less saline mangrove to the highly saline marsh community. The zoning of the mangroves has also helped in assessing the diversity of the region. Based on the richness of species, three areas, namely Bhains Bid, North-east Dide Ka Bet and South-east Chhad Island have been identified as highly diverse (most suitable area for preservation).
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References
Bahuguna, A., Ghosh, A., Nayak, S., Patel, A. and Aggarwal, J.P. (1992). Ecological status of the coral reefs of the Gulf of Kachchh and Lakshadweep, Proc. of the National Symposium on Remote Sensing for Sustainable Development, held at Lucknow, India, 1992, pp. 57–61.
Bahuguna, A. and Nayak, S. (1996). Mangrove community discrimination using IRS-1C data, Proc. of the National Symposium on Remote Sensing for Natural Resources with special emphasis to Water Management, held at Pune, India, 1996, pp. 311–319.
Benson, A.S. and DeGloria, S.D. (1985). Interpretation of Landsat-4 Thematic Mapper and multi-spectral scanner data for forest surveys. Photogrammetric Engineering & Remote Sensing,51: 1281–1289.
Cottam, G. and Curtis, J.T. (1956). The use of distance measures in phytosociological sampling. Ecology,37: 451–460.
Gray, D., Zisman, S. and Corves, C. (1990). Mapping of the mangroves of Belize. Technical Report. University of Edinburgh, Edinburgh.
Kay, R.J., Hick, P.T. and Houghton, H.J. (1991). Remote Sensing of Kimberley Rainforests. (Eds.: N.I. McKenzie, R.B. Johnston and P.G. Kendrick). Surrey Beatty & Sons, Chipping Norton, pp. 41–51.
Mumby, P.J. and Green, E.P. (2000). Mapping Mangroves. In: Remote Sensing for Tropical Coastal Management (Ed.: A. Edwards). UNESCO Publishing, pp. 64, 155.
Navalgund, R.R. and Bahuguna, A. (1999). Applications of remote sensing and GIS in coastal zone management and conservation: Indian experience, Proc. of U.N. ESCAP/ISRO Science Symposium, On Space Technology for improving Quality of Life in Developing Countries: a perspective for the next millennium, held at New Delhi from Nov. 15–17 1999, pp. 121–146.
Nayak, S.R. and Bahuguna, A. (2001). Application of RS data to Monitor Mangroves and Other Coastal Vegetation of India. Indian Jour. Marine Sciences,30(4): 195–213.
Nayak, S.R., Pandeya, A., Gupta, M.C., Trivedi, C.R., Prasad, K.N. and Kadri, S.A. (1989). Application of satellite data for monitoring degradation of tidal wetlands of the Gulf of Kachchh, Western India. Acta Astronautica,20: 171–178.
Patterson, W.G. (1986). Mangrove community boundary interpretation and detection of areal changes in Marco island, Florida: application of digital image processing and remote sensing techniques. Biological Report. U. S. Fish & Wildlife Service,86(10): 87.
Populus, J. and Lantieri, D. (1991). Use of High Resolution Satellite Data for Coastal Fisheries. FAO RSC Series No. 58, Rome.
Porwal, M.C., Roy, P.S., Singh, S. and Kurian, A.J. (1992). Importance of Middle Infrared Band for classifying mangrove vegetation and plantation in Middle Andaman Islands, Proc. Nat Symp., Remote Sensing for Sustainable Development, held at Lucknow, India, 1992, pp. 30–36.
Ranganath, B.K., Dutt, C.B.S. and Manikan, B. (1989). Digital Mapping of Mangroves in Middle Andamans of India, Proc. 6th Symp. on Coastal and Ocean Management, pp. 741–750.
Roy, P.S., Ranganath, B.K., Diwakar, P.G., Vohra, T.P.S., Bhan, S.K., Singh, I.J. and Pandian, V.C. (1991). Tropical Forest Type Mapping and Monitoring Using Remote Sensing. Ind. J. Remote Sensing,12(11): 2205–2225.
Spalding, M.D. (1997). The global distribution of status of mangrove ecosystems. In: Intercoast Network (International Newsletter of Coastal Management), Mangrove Edition, Published Quarterly by the Coastal Resources Management Project of the University of Rhode Island’s Coastal Resources Centre and the U.S. Agency for International Development (USAID), Narragansett, Rhode Island, USA. (Ed.: S. Olsen), pp. 20–21.
Terchunian, A., Klemas, V., Segovia, A., Vasconez, B. and Guerrero (1986). Mangrove mapping of Equador: the impact of shrimp pond construction.Environment Management,10(3): 345–350.
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Shah, D.G., Bahuguna, A., Deshmukh, B. et al. Zoning and monitoring dominant mangrove communities of a part of The Marine National Park, Gulf of Kachchh. J Indian Soc Remote Sens 33, 155–163 (2005). https://doi.org/10.1007/BF02990005
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DOI: https://doi.org/10.1007/BF02990005