用户名: 密码: 验证码:
苏北沿海森林植被动态及其区域气候效应
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
基于苏北沿海地区1961-2006年的气象资料,本文从较长时间尺度上分析了苏北沿海地区的区域气候变化规律,并从归一化植被指数和森林覆盖度变化角度入手,应用遥感和GIS技术,对沿海地区近10年来的森林植被动态、土地利用变化,及其对区域气候的影响进行了研究。主要研究结果如下:
     (1)在大环境气温升高的趋势下,苏北沿海地区的温度亦有所升高,但在近17a来的气温上升幅度有所减缓。在不同季节中,夏季气温增幅较其它3个季节的小,且有减弱趋势。各月份气温变化中,八月份气温变化趋势为负值,年代际变化幅度也呈减弱趋势。
     (2)苏北沿海地区的NDVI呈增加趋势,反映了该地区植被活动在增强。在植物生长季节,NDVI增加明显,且以7、8月尤为明显。6、11月份由于农作物的收获,NDVI偏低。
     (3)1999-2007年间,盐城、南通、连云港3各沿海城市的植被盖度,存在明显的区域差异性。1999年的植被覆盖度为:盐城>连云港>南通。至2007年,3个城市的植被状况虽然整体上得到改善,但局部地区有退化趋势。如2007年,连云港、南通地区的植被覆盖度提高幅度明显,盐城地区虽然整体有所增加,但局部区域有减少现象。
     (4)近年来,苏北沿海地区林地与城镇面积呈增长趋势,而水体、裸地、农田与草地的面积呈现出减少趋势。林地面积的增加对台风有很好的抑制作用,台风发生频次较少、强度较弱,有效保护了当地居民的生命财产安全。另外,对沿海典型县域(建湖)林地与地表温度的相关性研究发现,森林对小气候有明显的影响作用,对县域有整体降温作用。
Based on meteorological data of subei coastal areas from 1961 to 2006, this paper analyzed a long time scales regional climate change. Processing with normalized vegetation index and forest coverage change and applicating remote sensing, GIS technology,10 years of coastal areas of forest vegetation dynamics, the change of land use, and the influence of regional climate was studied. The main research results are as follows:
     (1) Under the trend of rising temperatures in the environment, temperature of subei coastal areas rise somewhat, but in recent 17a to temperatures rise by a slowdown. In different seasons, summer temperatures has a smaller growth than the other three seasons and has a decreasing trend. August has a negative trend in temperature change and also decadal variability range shows decreasing trend.
     (2) The increasing trend of NDVI in subei coastal area reflecting vegetation activities.In plant growth season, NDVI increase obviously, and in July and August is especially remarkable. While in the harvest season of June and November the NDVI is low.
     (3) There is obvious regional diversity of vegetation coverage in yancheng, nantong, Lianyungang from 1999 to 2007.The value of vegetation coverage in 1999:yancheng> lianyungang>nantong. To 2007, vegetation status of three cities has overall improved, but in some local region has degradation trend. For example, the vegetation coverage increase obviously in lianyungang, Nantong, but reduce in some local area of yancheng in 2007.
     (4) in recent years, the forestland area and urban area has a growing trend in subei coastal area, while the area of water, bare land, farmland and grassland show decreasing trend. The increase of forestland area has very good inhibition on typhoon to protect the local people's life and property security. Typhoon frequency is down and intensity is weak.In addition, the correlation study of forestland and surface temperature of coastal typical county(JianHu)found that forest has a significant impact on microclimate and has a whole cooling effect for county.
引文
[1]廖建华,李丹勋,王兴奎.长江上游植被覆盖的时空分异季节变化及其驱动因子研究[J].环境科学学报,2009,29(5):1103.
    [2]Chen X Q, Hu B, Yu R. Spatial and temporal variation of phenological growing season and climate change impacts in temperate eastern China[J].Global Change Biology,2005,11:1118-1130.
    [3]陈效逑,王恒.1982-2003年内蒙古植被带和植被覆盖度的时空变化[J].地理学报,2009,64(1):84.
    [4]朴世龙,方精云.1982-1999年我国陆地植被活动对气候变化响应的季节差异[J].地理学报,2003,58(1):119-125.
    [5]王思远,张增祥,周全斌.遥感与GIS支持下的中国森林植被动态变化分析[J].资源科学,2002,24(5):65.
    [6]章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408.
    [7]张云霞,李晓兵,陈云浩.草地植被覆盖度的多尺度遥感与实地测量方法综述[J].地球科学进展,2003,18(1):85-93.
    [8]赵春玲,李志刚,吕海军等.中德合作宁夏贺兰山封山育林育草项目区植被覆盖度监测[J].宁夏农林科技,2000,(6):6-14.
    [9]盛永伟,陈维英.利用气象卫星植被指数进行我国植被的宏观分类[J].科学通报,1995,40(1):68.
    [10]Lunetta R S, Knight J F, Ediriwickrema J,et al.Land-cover change detection using multi-temporal MODISNDVI data [J].Remote Sensing of Environment,2006,105:142-154.
    [11]Reed B, Brown D, Vanderzee D,et al. Measuringphenological variability from satellite imagery[J].Journal of Vegetation Science,1994,5:703-714.
    [12]Hansen M, DeFiles R, Townshend J R G, et al.Global land cover classification at 1 km spatialresolution using a classification tree approach[J].International Journal of Remote Sensing,2000,21:1331-1364.
    [13]GUO Jian-kun,HUANG Guo-man(郭建坤,黄国满)Land cover dynamics in inner Mongolia between 1998and 2003[J].Resources Sciencei(资源科学),2005,27(4):84-89(in Chinese)
    [14]赵群,陈建平.太原盆地植被覆盖度遥感估算[J].现代农业科技,2008(23):298.
    [15]章文波,符素华,刘宝元.目估法测!植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408.
    [16]李剑泉,李智勇,易浩若.森林与全球气候变化的关系[J].西北林学院学报,2010,25(4):23-28.
    [17]王祝雄.林业应对气候变化作用和意义重大[J].今日国土,2009(7);13-17.
    [18]江泽慧.中国现代林业(第二版)[M].北京:中国林业出版社.2008:178-205.
    [19]森林在应对气候变化中的独特功能[EB/OL].(2008-8-20),[2009-12-16], http://www.bjyl.gov.cn/bjyl-outside/ineludes/ articleContent.jsp?cmArticleID=12175589930001
    [20]科技部.森林受损有可能加速气候变化[EB/OL].(2009-07-02).[2009-12-16],http:i/www.mostgov,cn/gnwkjdt/200907/ t2009070171580.htm
    [21]朱建华,侯振宏,张治军,等.气候变化与森林生态系统:影响、脆弱性与适应性[J].林业科学.2007,43(11);138-145.
    [22]周璋,李意德,林明献.海南岛尖峰岭热带山地雨林区26年的热量因子变化特征[J].生态学杂志2009,28(6):1006-1012.
    [23]杨哗.浅析森林对气候的影响[J].林业科技情报,2010,42(3):26-29.
    [24]周璋,李意德,林明献,等.1980-2005年海南岛尖峰岭热带山地雨林区气候突变与异常的初步研究[J].气象与环境学报,2009,25(3):66-72.
    [25]潘勇军,王兵,陈步峰.帽峰山森林气温与区域气温变化趋势分析[J].林业科学研究,2011,24(1):45-50.
    [26]游广永,张一平,刘玉洪等.哀牢山亚热带常绿阔叶林地温特征及变化趋势[J].北京林业大学学报,2011,.33(2):53-58.
    [27]刘贤德,牛赞,敬文茂.祁连山森林内外主要气象因子对比研究[J].干旱区地理,2009,32(1):32-36.
    [28]武永利,田国珍.基于MERSI数据的山西森林覆盖监测[J].林业科学,2011,47(2):25-29.
    [29]王冰,杨胜天基于NOAA/AVHRR的贵州喀斯特地区植被覆盖变化研究[J].中国岩溶,2006,25(2):157.
    [30]Defries R,HansenM, Towneshend J. Global discrimination of land cover types from metrics derived from AVHRR pathfinder data[J].Remote Sensing of Environment,1995,54:209-222.
    [31]Colstoun D E. B,WalthallC. L. Improving global scale land cover classifications with multi-directional POLDER data and a decision tree classifier[J].Remote Sensing of Environment,2006,100(4):474-485.
    [32]Zhan X,DeFriesR,Townshend JR G, eta.l The 250m global land cover change product from themoderate resolution imaging spectroradiometer of NASA's Earth Observing System[J]. International Journal of Remote Sensing.2000,21(6):1433-1460.
    [33]D.Mehrholz,L.Leushacke.Detecting,Tracking and Imaging Space Debris [EB/OL]. (2002-02) [2010-01-05]. http://www.esa. int/esapub/bulletin/bullet109.
    [34]Liu JY, LiuM L, Deng X Z et a.l The Land-use and land cover change database and its relative studies in China[J]. Journal of Geographical Sciences,2002,12(3):275-282.
    [35]Tucker C J,Townshend J R G.African land-cover classification using satellite data[J].Science,1985,227:369-374.
    [36]延昊,王长耀,牛铮等.多时相NOAA-AVHRR数据主成分分析的生物学意义[J].遥感技术与应用,2001,16:209-213.
    [37]Moller-Jensen L. Classification of Urban Land Cover Based on Expert Systems, Object Models and Texture[J]. Computers Environ Mental and Urban System,1997,21(3):291-302.
    [38]Lu H, Raupacha M R., McVicar T R, et al. Barrett. Decom-position of vegetation cover into woody and herbaceous compo-nents using AVHRR NDVI time series[J].Remote Sensing of Environment,2003,86:1-18.
    [39]Deferis R S, Townshend J R G.NDVI-derived land cover classification at a global scale[J].International Journal of Remote Sensing,1994,15:3567-3586.
    [40]Hansen M C,DeFries R S,Townshend JR G,etal Development of a MODIS validation dataset for Western Province,Zambia[J]. Remote Sensing of Environment,2002,83:320-335.
    [41]Mark C,Gretchen GM,Lihong S,Large area mapping of southwestern forest crown cover, canopy height and biomass using the NASA Multiangle Imaging Spectro-Radiometer[J].Remote Sensing of Environment,2008,112(5):2051-2063.
    [42]Jeffrey D K,Alissa M, Ralph JA. Integrating urbanization into landscape level ecological assessments[J]. Ecosystems,2001,4: 3-18.
    [43]Armando A A,Mark SP.Mapping and analysis of changes in the riparian landscape structure of the Lockyer valley catchmen t [J].Queensland,Australia. Landscape and Urban Planning,2002,59:43-57.
    [44]吴雪琼,覃先林,周汝良等.森林覆盖变化遥感监测方法研究进展[J].林业资源管理,2010(4):82-87.
    [45]盛永伟,陈维英,肖乾广.利用气象卫星植被指数进行我国植被的宏观分类[J].科学通报,1995,40:68-71.
    [46]李晓兵,史培军.基于NOAA/AVHRR数据的中国主要植被类型NDVI变化规律研究[J].植物学报,1999,41:314-324.
    [47]李俊祥,达良俊,王玉洁等.基于NOAA-AVHRR数据的中国东部地区植被遥感分类研究[J].植物生态学报,2005,29:436-443.
    [48]毛飞,侯英雨,唐世浩等.基于近20年遥感数据的藏北草地分类及其动态变化[J].应用生态学报,2007,18:1745-1750.
    [49]陈效逑,喻蓉.1982-1999年我国东部暖温带植被生长季节的时空变化[J].地理学报,2007,62(1):41-51.
    [50]杨胜天,刘昌明,孙容.近二十年来黄河流域植被覆盖变化分析[J].地理学报,2002,57(6):679-684.
    [51]陈云浩,李晓兵,史培军等.北京海淀区植被覆盖的遥感动态研究[J].植物生态学报,2001,25(5):588-593.
    [52]除多.基于NOAA AVHRR NDVI的西藏拉萨地区植被季节变化[J].高原气象,2003,22(增刊):145-151.
    [53]Liu JY, LiuM L, Deng X Z et a.l The Land-use and land-cover change database and its relative studies in China[J]. Journal of Geographical Sciences,2002,12(3):275-282.
    [54]伍菲MODIS数据的土地利用分类研究[D].北京:中国林业科学研究院,2005.
    [55]郭志华,彭少麟,王伯荪.利用TM数据提取粤西地区的森林生物量[J]生态学报,2002,22(11):1832-1839.
    [56]喻庆国.TM影像在热带林林地资源调查中的应用[J].云南林业科技,2001(1):70-76.
    [57]李选利,张海永,田金伟.TM影像的植被类型信息提取方法研究[J].技术应用,2008(1):50-52.
    [58]张铁夫,由伯成,高雪莲.TM影像用于春小麦播种面积调查[J].遥感信息,1989(4):37-38.
    [59]刘同海,吴新宏,董永平.基于TM影像的草原沙漠化植被盖度分析研究[J].干旱区资源与环境,2010,24(2):141-144.
    [60]张京红,陶忠良,刘少军.基于TM影像的海南岛橡胶种植面积信息提取[J].热带作物学报,2010,31(4):66]-665.
    [61]覃先林,陈尔学,李增元,等.基于MODIS数据的森林覆盖变化检测方法[J].遥技术与应用,2006,21,37(3):178-183.
    [62]甘淑,何大明,袁希平.NDVI在澜沧江流域山区林地覆盖遥感监测中的应用研究[J].林业科学,2001,37(4):134-136.
    [63]马明国,董立新,王雪梅.过去21a中国西北植被覆盖动态监测与模拟[J].冰川冻土,2003,25(2):232-236.
    [64]丁一汇,任国玉,石广玉,等.气候变化国家评估报告(Ⅰ):中国气候变化的历史和未来趋势明.气候变化研究进展,2006,2(1):3-8.
    [65]任国玉,初子莹,周雅清,等.中国气温变化研究最新进展[J].气候与环境研究,2005,10(2):701-716.
    [66]李超,陈兵林,孟亚利等.江苏省植被覆盖度影响因子研究[J].生态经济(学术版),2008,(2):372-379.
    [67]朱会义,李秀彬,何书金.环渤海地区土地利用的时空变化分析[J].地理学报,2001,56(3):253-260.
    [68]索俊锋.千岛湖镇土地利用变化及其驱动力分析[J].云南地理环境研究,2010,22(3):81-86.
    [69]李璐,史志华,朱惇等.南水北调中线水源区森林覆盖变化及其影响因子分析[J].自然资源学报,2009,24(6):1049-1057.
    [70]张远东,徐应涛,顾峰雪等.荒漠绿洲NDVI与气候、水文因子的相关分析[J].植物生态学报,2003,27(6):816-821.
    [71]牛建明,呼和.我国植被与环境关系研究进展[J].内蒙古大学学报(自然科学版),2000,31(1):76-80.
    [72]陈云浩,李晓兵,史培军.1983-1992年中国陆地NDVI变化的气候因子驱动分析[J].植物生态学报,2001,25(6):716-720.
    [73]孙红雨,王长耀,牛铮等.中国地表植被覆盖变化及其与气候因子关系—基于NOAA时间序列数据分析[J]遥感学报,1998,12(3):204-210.
    [74]季灵运,许建东,林旭东.利用卫星热红外遥感技术监测长白山天池火山活动性[J].地震地质,2009,31(4):617-627.
    [75]丁凤,徐涵秋.TM热波段图像的地表温度反演算法与实验分析[J]地球信息科学,2006,8(3):125-130.
    [76]宫阿都,徐捷,赵静.城市热岛研究方法概述[J].自然灾害学报,2008,17(6):96-99.
    [77]覃志豪,ZHANG Ming_hua, Arnon Karnieli用NOAA-AVHRR热通道数据演算地表温度的劈窗算法[J].国士资源遥感,2001,(2):33-42.
    [78]冯海霞,朱爱民,何必.基于遥感反演的山东省森林资源调节温度服务的研究[J].地理科学,2009,29(5):760-765.
    [79]房世波,李佑国,杨武年等.基于TM6数据的成都市地表温度反演[J].应用技术,2004(1):35-37.
    [80]陆丽云,陈君,张忍顺.江苏沿海的风暴潮灾害及其防御对策[J].灾害学,2002,17(1):26-31.
    [81]代国林.植被对台风形成的影响[J].科技成果纵横,2007,(5):45-47.
    [82]Puyravaud J P. Standardizing the calculation of the annual rate of deforestation[J].ForestEcology&Management,2003,177: 593-596.
    [83]地球系统科学数据共享网项目,“长江中下游遥感影像数据库”,2006.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700