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An assessment of status and distribution of mangrove forest cover in Pakistan

Sawaid Abbas, Faisal Mueen Qamer, Ghaffar Ali, Nitin Kumar Tripathi, Khurram Shehzad, Rashid Saleem, Hammad Gilani

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J. Bio. Env. Sci.3(6), 64-78, June 2013


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Since 1980, a 25% global reduction in mangrove area has been observed, categorizing mangrove as one of the most threatened and vulnerable ecosystems of the world. Pakistan is home to five of the world’s largest mangroves and receives special attention for their ecological importance and coastal stabilization potential. Anthropogenic and climatic influences, along with slack institutional management, have raised questions about qualitative and quantitative deformation of the country’s forest resources. To our knowledge, a comprehensive assessment of the current mangrove cover of Pakistan has not been made. In 1999, in the Forestry Sector Master Plan (FSMP), the mangrove forest extent was visually determined from Landsat images of 1988 – 1991, and was estimated to be 155,369 ha; whereas, in the National Forest and Range Resources Assessment Study (NFRRAS), Landsat images of 1997-2001 were automatically processed and the mangrove areas was estimated to be 158,000 ha. Since then, there have been hardly any studies describing the extent of mangrove cover at the end of first decade of 21st century. To address this gap, this study is particularly carried out to estimate the current mangroves cover of Pakistan based on multi-scale Object Based Image Analysis of ALOS-AVNIR-2 images for the year 2009. Results of current image analysis deciphered that the overall mangroves cover of Pakistan is approximately 98,128 ha, and is distribute distinct five geographic pockets. This national assessment disintegrated at sub-district administrative division is anticipated to support informed decision making and sustainable development of coastal regions of Pakistan.


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An assessment of status and distribution of mangrove forest cover in Pakistan

Abbas S, Qamer FM, Rana AD, Hussain N, Saleem R. 2010. Application of Object Based Image Analysis for Forest Cover Assessment of Moist Temperate Himalayan Forest in Pakistan. GEOBIA 2010 (June 29 – July 2), 2010, Ghent, Belgium.

Ali G, Nitivattananon V, Mehmood H, Sabir M, Sheikh SR, Abbas S. 2012. A synthesis approach to investigate and validate carbon sources and sinks of a mega city of developing country. Environmental Development 4, 54-72.

Alongi D, Sasekumar A, Tirendi F, Dixon P. 1998. The influence of stand age on benthic decomposition and recycling of organic matter in managed mangrove forests of Malaysia. Journal of Experimental Marine Biology and Ecology 225,197– 218.

Amir A. 2012. Canopy gaps and the natural regeneration of Matang mangroves. Forest Ecology and Management 269, 60–67.

Ashraf SQ, Nadeem, Hasan M. 2004. Mapping mangrove forest extent in a selected part of Indus delta. In Proceedings of the consultative workshop on the Indus Delta Eco-region. WWF-Pakistan, Lahore.

Avishek K, Yu X, Liu J. 2012. Ecosystem management in Asia Pacific: Bridging science–policy gap. Environmental Development 3, 77–90.

Baatz M, Bentz U, Dehghani S, Heynen M et al. 2004. eCognition User Guide 4. Definiens Imaging, Muenchen/München.

Blaschke T. 2010. Object Based Image Analysis for Remote Sensing. ISPRS Journal of Phtogrammetry and Remote Sensing 65, 2-16.

Champion G, Harry, Seth SK. 1965. Forest types of Pakistan. Pakistan Forest Institute, Peshawar

Cherrington et al. 2010. SERVIR – Forest Cover and Deforestation in Belize: 1980-2010, 1980–2010.

Conchedda G, Durieux L, Mayaux P. 2008. An object-based method for mapping and change analysis in mangrove ecosystems. ISPRS Journal of Photogrammetry & Remote Sensing 63, 578–589.

Datta D, Chattopadhyay RN, Guha P. 2012. Community based mangrove management: a review on status and sustainability. Journal of environmental management 107, 84–95.

Diaz-Chavez R. 2012. Land use for integrated systems: A bioenergy perspective. Environmental Development 3, 91–99.

FAO. 2007. The world’s mangroves 1980–2005. A thematic study prepared in the framework of the Global Forest Resources Assessment 2005.

FSMP. 1992. Forestry Sector Master Plan, Pakistan.

Giri CP, Delsol JP. 1993. Mangrove Forest cover mapping Phangnga Bay, Thailand; using SPOT HRV and JERS-1 Data in conjunction with GIS. Presented at International seminar on remote sensing for coastal zone and coral reef applications at Asian Institute of Technology, Bangkok, 25th Oct – 1st Nov, 1993.

Giri C, Zhu Z, Tieszen LL, Singh A, Gillette S, Kelmelis J. 2008. Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia. Journal of Biogeography 35(3), 519– 528.

Giri C, Pengra B, Zhu Z, Singh A, Tieszen LL. 2007. Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000. Estuarine, Coastal and Shelf Science 73(1-2),91–100.

Jensen JR. 2005. Introductory Digital Image Processing- A Remote Sensing Perspective. New Jersey: Prentice-Hall, 1-187

Kamal M, Phinn S. 2011. Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach. Remote Sensing 3, 2222–2242.

Kristensen E. Bouillon S. Dittmar T. Marchand C. 2008. Organic carbon dynamics in mangrove ecosystems: A review. Aquatic Botany 89, 201–219.

Kuenzer C, Bluemel A, Gebhardt S, Quoc TV, Dech S. 2011. Remote Sensing of Mangrove Ecosystems: A Review. Remote Sensing 3, 878–928.

Lillesand TM, Kiefer RW, Chipman JW. 2004. Remote sensing and image interpretation, fifth ed. John Wiley and Sons (Asia) Pte. Ltd., Singapore

Linneweber V, de Lacerda LD. 2002. Mangrove Ecosystems: Function and Management, first ed. Springer, Berlin.

Mallinis G, Koutsias N, Tsakiri-Strati M, Karteris M. 2008. Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site. ISPRS Journal of Photogrammetry & Remote Sensing 63, 237–250

Mather P. 2004. Computer Processing of Remotely Sensing Images—An introduction, third ed. John Wiley and Sons Ltd., The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, England.

Mathieu R, Aryal J, Chong AK. 2007. Object-based classification of IKONOS imagery for mapping large-scale vegetation communities in urban areas. MDPI, Sensors 7, 2860-2880.

Memon AA. 2005. Devastation of Indus River Delta. World Water & Environmental Resources Congress 2005, American Society of Civil Engineers, Environmental and Water Resources Institute, Anchorage, Alaska.

Munji C. Bele MY, Nkwatoh AF, Idinoba ME, Somorin OA, Sonwa DJ. 2013. Vulnerability to coastal flooding and response strategies: The case of settlements in Cameroon mangrove forests. Environmental Development 5, 54–72.

NFRRAS. 2004. National Forest & Range Resources Assessment, Pakistan Forest Institute, Peshawar.

Pathak J. 2012. Measuring glacier change in the Himalayas. Environmental Development 4, 172–183.

Roy AKD. Alam K. Gow J. 2012. A review of the role of property rights and forest policies in the management of the Sundarbans Mangrove Forest in Bangladesh. Forest Policy and Economics 15, 46–53.

Saeed U, Gilani H, Shehzad N, Gill K. 2008. Remote Sensing based forest change trend analysis – a case study of mangrove forest of Keti Bunder, Indus Delta (Botanic Gardens Conference, Government College University, Lahore, Pakistan).

Schwarzer S. 2012. Keeping Track of Our Changing Environment ‐ From Rio to Rio. Environmental Development 3, 166–179.

Song C, Woodcock CE, Seto KC, Pax-lenney M, Macomber SA. 2001. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of Environment 75, 230–244.

Stow DA. 1999. Reducing mis-registration effects for pixel-level analysis of land-cover change. International Journal of Remote Sensing 20, 2477– 2483.

Yao T. Thompson LG, Mosbrugger V, Zhang FM, Luo T, Xu B, et al. 2012. Third Pole Environment (TPE). Environmental Development 3, 52–64.