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NATIONAL LEVEL ASSESSMENT OF MANGROVE FOREST COVER IN PAKISTAN

机译:巴基斯坦美洲红树林覆盖的国家一级评估

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Mangroves ecosystems consist of inter tidal flora and fauna found in the tropical and subtropical regions of the world. Mangroves forest is a collection of halophytic trees, shrubs, and other plants receiving inputs from regular tidal flushing and from fres hwater streams and rivers. A global reduction of 25 % mangroves’ area has been observed since 1980 and it is categorized as one of to the most threatened and vulnerable ecosystems of the world. Forest resources in Pakistan are being deteriorating both quantitatively and qualitatively due to anthropogenic activities, climatic v and loose institutional management. According to the FAO (2007), extent of forest cover of Pakistan in 2005 is 1,902,000 ha, which is 2.5% of its total land area. Annual change rate during 2000-2005 was -2.1% which is highest among all the countries in Asia. The Indus delta region contains the world's fifth-largest mangrove forest which provides a range of important ecosystem services, including coastal stabilisation, primary production and provision of nursery habitat for marine fish. Given their ecological importance in coastal settings, mangroves receive special attenti on in the assessment of conservation efforts and sustainable coastal developments. Coastline of Pakistan is 1050km long shared by the provinces, Sind (350km) and Baluchistan (700 km). The coastline, with typical arid subtropical climate, possesses five significant sites that are blessed with mangroves. In the Sindh province, mangroves are found in the Indus Delta and Sandspit. The Indus Delta is host to the most extensive mangroves areas and extends from Korangi Creek in the West to Sir Creek in the East, whereas Sandspit is a small locality in the West of Karachi city. In the Balochistan provinc e, mangroves are located at three sites, Miani Hor, Kalmat Khor and Jiwani. Contemporary methods of Earth observation sciences are being incorporated as an integral part of environmental assessment related studies in coastal areas. GIS and Remote Sensing based technologies and methods are in use to map forest cover since the last two decades in Pakistan. The national level forest cover studies based upon satellite images include, Forestry Sector Master Plan (FSMP) and National Forest & Range Resources Assessment Study (NF RRAS). In FSMP, the mangrove forest extent was visually determined from Landsat images of 1988 - 1991, and was estimated to be 155,369 ha; whereas, in NFRRAS, Landsat images of 1997-2001 were automated processed and the mangroves areas was estimated to be 158,000 ha. To our knowledge, a comprehensive assessment of current mangroves cover of Pakistan has not been made over the last decade, although the mangroves ecosystems have become the focus of intention in context of recent climate change scenarios. This study was conducted to support the informed decision making for sustainable development in coastal areas of Pakistan by providing up-to-date mangroves forest cover assessment of Pakistan. Various types of Earth Observation satellite images and processing methods have been tested in relation to mangroves mapping. Most of the studies have applied classical pixel – based approached, there are a few studies which used object – based methods of image analysis to map the mangroves ecosystems. Object – based methods have the advantage of incorporating spatial neighbourhood properties and hierarchical structures into the classification process to produce more accurate surface patterns recognition compared with classical pixel – based approaches. In this research, we applied multi-scale hierarchical approach of object-based methods of image analysis to ALOS – AVNIR-2 images of the year 2008-09 to map the land cover in the mangroves ecosystems of Pakistan. Considering the tide height and phonological effects of vegetation, particularly the algal mats, these data sets were meticulously chosen. Incorporation of multi-scale hierarchical structures made it easy to effectively discrim
机译:红树林生态系统由潮汐植物群和动物群组成,在世界上热带和亚热带地区发现。红树林是一系列嗜睡树木,灌木和其他植物的集合,接受来自普通潮红的冲洗和Fres Hwater流和河流的投入。自1980年以来,已经观察到全球减少25%的红树林区域,并被归类为世界上最威胁和脆弱的生态系统之一。由于人为活动,气候V和宽松的制度管理,巴基斯坦的森林资源在定量和质量上劣化。根据粮农组织(2007年),2005年巴基斯坦森林覆盖范围是1,902,000公顷,占其土地面积的2.5%。 2000-2005期间的年度变化率为-2.1%,是亚洲所有国家中最高的。印第安纳三角洲地区包含世界上第五大红树林,提供一系列重要的生态系统服务,包括沿海稳定,初级生产和为海洋鱼类的苗圃栖息地提供。鉴于沿海地区的生态重要性,红树林在评估保护努力和可持续的沿海发展方面得到了特殊的特征。巴基斯坦海岸线105万千克,省份,Sind(350公里)和巴鲁克斯坦(700公里)共用。海岸线,典型的干旱亚热带气候,拥有五个与红树林有福的重要网站。在Sindh省,在印度三角洲和Sandspit中发现了红树林。印第安斯州德国是最广泛的红树林地区,并从西部的Korangi Creek延伸到东部的克里克,而Sandspit是卡拉奇市西部的一个小型地位。在俾路支省Province E中,红树林位于三个地点,Miani Hor,Kalmat Khor和Jiwani。地球观测科学的当代方法被纳入沿海地区环境评估相关研究的一个组成部分。 GIS和基于遥感的技术和方法在巴基斯坦过去二十年以来以来地图林覆盖。基于卫星图像的国家一级森林覆盖研究包括林业部门大型计划(FSMP)和国家林和范围资源评估研究(NF RRA)。在FSMP中,红树林范围是从1988年至1991年的Landsat图像视觉上确定的,估计为155,369公顷;虽然,在NFRRAS中,1997-2001的Landsat图像被自动化处理,红树林区估计为158,000公顷。为了我们的知识,在过去十年中,仍未在过去十年中对巴基斯坦的当前红树林封面进行了全面评估,尽管红树林生态系统已成为最近的气候变化情景的背景下的意图焦点。通过提供最新的红树林森林审计评估巴基斯坦,对巴基斯坦沿海地区的可持续发展提供明智的决策,以支持巴基斯坦沿岸地区的可持续发展决策。已经测试了各种类型的地球观测卫星图像和处理方法,以与红树林映射有关。大多数研究已经应用了基于古典像素的方法,存在一些研究基于对象的图像分析方法来映射红树林生态系统。基于对象的方法具有将空间邻域属性和分层结构结合到分类过程中,以产生与基于典型像素的方法相比的更准确的表面图案识别。在本研究中,我们应用了基于对象的图像分析方法的多尺度分层方法 - 2008 - 09年的Alos - Avnir-2图像,以映射巴基斯坦美洲红树生态系统中的土地覆盖。考虑到植被的潮汐高度和语音效应,特别是藻类垫,这些数据集被精心地选择。掺入多尺度分层结构使得易于有效地辨别

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