基于GIS-RS的三峡库区消落带植被覆盖时空演变过程
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摘要
以三峡水库涪陵区段消落带为研究区域,对2003、2004、2008、2010、2013年的消落带土地利用类型进行分类与统计,估算消落带植被覆盖度,运用CA-Markov模型计算各时期消落带的土地利用类型概率转移矩阵,并运用CA-Markov模型模拟研究区2018、2023、2028、2033年湿地利用类型格局分布图。研究结果表明:在时间跨度上,消落带在1年或2年这样的短时期内,植被覆盖类型会发生比较大的变化,稳定性不高,长期变化则趋于稳定,尤其是在2008年首次实现175 m蓄水试验之后;在空间格局上,陆生植物与湿生植物大部分属于类别内部转移,即陆生转为湿生,总体植被覆盖度小幅降低,但后期基本稳定在各占植被类型50%左右。
The Fuling Hydro-Fluctuation Belt in the Three Gorges Reservoir was taken as a case study to carry out land use classification of hydro-fluctuation belts and estimate vegetation coverage of hydro-fluctuation belts based on remote sensing and geographic information systems.The CA-Markov model was used to calculate the transition probability matrix wetland use type,and at the same time the CA-Markov model was used to simulate the wetland landscape pattern of the study area in 2018,2023,2028,and 2033.The results show that for the hydro-fluctuation belt in a year or two,with this short a period,vegetation cover type will undertake relatively large changes with low stability and long-term change is stabilized,especially for the first time in2008 after a 175 m water test; For spatial pattern,terrestrial plants and wetland plants belong mostly to the category internal transfer,namely,terrestrial turned wet. The overall vegetation coverage is slightly reduced but later is basically stabilized at nearly 50% of the total vegetation in a later period of time.
The Fuling Hydro-Fluctuation Belt in the Three Gorges Reservoir was taken as a case study to carry out land use classification of hydro-fluctuation belts and estimate vegetation coverage of hydro-fluctuation belts based on remote sensing and geographic information systems.The CA-Markov model was used to calculate the transition probability matrix wetland use type,and at the same time the CA-Markov model was used to simulate the wetland landscape pattern of the study area in 2018,2023,2028,and 2033.The results show that for the hydro-fluctuation belt in a year or two,with this short a period,vegetation cover type will undertake relatively large changes with low stability and long-term change is stabilized,especially for the first time in2008 after a 175 m water test; For spatial pattern,terrestrial plants and wetland plants belong mostly to the category internal transfer,namely,terrestrial turned wet. The overall vegetation coverage is slightly reduced but later is basically stabilized at nearly 50% of the total vegetation in a later period of time.
引文
[1]LOWRANCE R R,LEONARD R,SHERIDAN J.Managing riparian ecosystems to control nonpoint pollution[J].Journal of Soil&Water Conservation,1985,40(1):87-91.
[2]GREGORY S V,SWANSON F J,MCKEE W A,et al.An ecosystem perspective of riparian zones-focus on links between land and water[J].Bio Science,1991,41(8):540-551.
[3]刘宗群.三峡水库水位涨落带的景观生态分析及其对策[J].重庆环境科学,1993(2):24-28.LIU Zongqun.Landscape ecological analysis and countermeasures of Three Gorges reservoir water level fluctuation zone[J].Chongqing Environmental Science,1993(2):24-28.
[4]许静,陈文惠,陈兴伟.图像机理方法提取水体信息的应用分析[J].地球信息科学学报,2009,11(1):98-103.XU Jing,CHEN Wenhui,CHEN Xingwei.Study of water body information extracting metheds based on spectrum characteristics[J].Journal of Geo-Information Science,2009,11(1):98-103.
[5]QI J,MARSETT R C,MORAN M S,et al.Spatial and temporal dynamics of vegetation in the San Pedro river basin area[J].Agricultural&Forest Meteorology,2000,105(1):55-68.
[6]熊春妮.基于遥感的广州市2005—2014年植被覆盖度时空动态分析[J].城市环境与城市生态,2015(4):7-10.XIONG Chunni.Spatial and temporal dynamic analysis of vegetation coverage in Guangzhou city from 2005 to 2014 based on remote sensing[J].Urban Environment Urban Ecology,2015(4):7-10.
[7]杨静雅,李新国,闫凯,等.基于遥感与像元二分模型的新疆和静县草地植被覆盖度时空变化特征研究[J].西北林学院学报,2017,32(1):210-217.YANG Jingya,LI Xinguo,YAN Kai,et al.Temporal and spatial variation characteristics of grassland vegetation coverage in hejing of xinjiang based on remote sensing and dimidiate pixel model[J].Journal of Northwest Forestry University,2017,32(1):210-217.
[8]吴柏清,何政伟,闫静,等.基于遥感与GIS技术的水电站库区植被覆盖度动态变化分析[J].水土保持研究,2008,15(3):39-42.WU Boqing,HE Zhengwei,YAN Jing,et al.Dynamic analysis of vegetation coverage in the reservoir area of hydropower station based on remote sensing and GIS technology[J].Research on Soil and water conservation,2008,15(3):39-42.
[9]徐娜,丁建丽,刘海霞.基于NDVI和LSMM的干旱区植被信息提取研究——以新疆吐鲁番市为例[J].测绘与空间地理信息,2012,35(7):52-57.XU Na,DING Jianli,LIU Haixia.extraction of vegetation information in arid area based on NDVI and LSMM:a case study of Turpan[J].Geomatics&Spatial Information Technology,2012,35(7):52-57.
[10]魏石磊,翟亮,桑会勇,等.像元分解模型的植被覆盖度遥感估算[J].测绘科学,2016,41(1):139-143.WEI Shilei,HUO Liang,SANG Huiyong,et al.Remote sensing estimation of vegetation coverage based on pixel decomposition model[J].Science of Surveying and Mapping,2016,41(1):139-143.
[11]江辉,周光文,刘成林.鄱阳湖区植被覆盖的遥感动态研究[J].江西农业学报,2007,19(1):103-106.JIANG Hui,ZHOU Guangwen,LIU Chenglin.Study on dynamics of vegetation coverage by remote sensing in poyang lake area[J].Acta Agriculture Jiangxi,2007,19(1):103-106.
[12]F OKEKE,A KARNIELI.Methods for fuzzy classification and accuracy assessment of historical aerial photographs for vegetation change analyses.part I:algorithm development[J].International Journal of Remote Sensing,2006,27(1):153-176.
[13]PU RL,GONG P,TIAN Y,et al.Using classification and NDVI differencing methods for monitoring sparse vegetation coverage:a case study of saltcedar in Nevada,USA[J].International Journal of Remote Sensing,2008,29(14):3987-4011.
[14]玛丽艳姑丽·阿西穆,塔西甫拉提·特依拜,买买提·沙吾提,等.基于Markov模型的植被覆盖动态变化预测研究[J].水土保持研究,2013,20(1):121-125.ASIMOW-M,TIYIP-T,MAIMAITI-S,et al.Prediction of vegetation cover change based on Markov mode[J].Research on Soil and water conservation,2013,20(1):121-125.
[15]程先富,张方方,邓良,等.安徽省霍山县植被覆盖度动态变化及预测[J].水土保持通报,2014,34(4):104-109.CHENG Xianfu,ZHANG Fangfang,DENG Liang,et al.Dynamic change and prediction of vegetation coverage in Huoshan county of Anhui province[J].Bulletin of Soil and Water Conservation,2014,34(4):104-109.
[16]林楠,姜琦刚,张红红,等.植被覆盖变化分析及其预测方法研究——以吉林东部为例[J].安徽农业科学,2012,40(25):12591-12593.LIN Nan,JIANG Qigang,ZHANG Honghong,et al.Analysis of vegetation cover change and its prediction method—a case study of eastern Jilin[J].Journal of Anhui Agricultural Sciences,2012,40(25):12591-12593.
[17]石亮亮,杨存建.震区植被覆盖度动态变化及其受损研究——以芦山县为例[J].四川林业科技,2014,35(3):21-26.SHI Liangliang,YANG Cunjian.Study on dynamic change and damage of vegetation coverage in the earthquake area:a case study in lushan county[J].Sichuan Forestry Science&Technology,2014,35(3):21-26.
[18]孙雷刚,郑振华.基于RS的近30年滹沱河流域植被覆盖度动态变化研究[J].地理与地理信息科学,2014,30(6):36-40.SUN Leigang,ZHENG Zhenhua.The dynamic change of Vegetation covered in nearly 30 years of Hutuo river basin based on RS[J].Geography and Geo-Information Science,2014,30(6):36-40.
[19]符静,秦建新,张猛,等.2001—2013年洞庭湖流域植被覆盖度时空变化特征[J].地球信息科学学报,2016,18(9):1209-1216.FU Jing,QIN Jianxin,ZHANG Meng,et al.Spatial and temporal variation characteristics research of vegetation coverage in Dongting lake basin during 2001—2013[J].Journal of Geo-Information Science,2016,18(9):1209-1216.
[20]高晓惠,相里斌,魏儒义,等.基于光谱分类的端元提取算法研究[J].光谱学与光谱分析,2011,31(7):1995-1998.GAO Xiaohui,XIANG Libin,WEI Ruyi,et al.Research on the algorithm of end element extraction based on spectral classification[J].Spectroscopy and Spectral Analysis,2011,31(7):1995-1998.
[21]于龙,周宇峰,丁丽霞,等.基于波谱角分类的土地利用动态监测[J].浙江农林大学学报,2014,31(3):386-393.YU Long,ZHOU Yufeng,DING Lixia,et al.Dynamic monitoring of land use based on spectral angle classification[J].Journal of ZheJiang A&F Univercity,2014,31(3):386-393.
[22]汤洁,汪雪格,李昭阳,等.基于CA-Markov模型的吉林省西部土地利用景观格局变化趋势预测[J].吉林大学学报(地球科学版),2010,40(2):405-411.YANG Jie,WANG Xuege,LI Zhaoyang,et al.Prediction of land use landscape pattern change in the west of Jilin province based on CA-Markov model[J].Journal of Jilin University(Earth Science Edition),2010,40(2):405-411.
[23]王强,刘红,张跃伟,等.三峡水库蓄水后典型消落带植物群落时空动态——以开县白夹溪为例[J].重庆师范大学学报(自然科学版),2012,29(3):66-69.WANG Qiang,LIU Hong,ZHANG Yuewei,et al.Spatial-temporal dynamics of vegetation in the newly created water-level-fluctuation zone of three gorges reservoir:a case study in Baijia stream,Kaixian county,China[J].Journal of Chongqing Normal University(Natural Science),2012,29(3):66-69.
[24]蒙金华,张正栋,袁宇志,等.基于CA-Markov模型的流溪河流域景观格局分析及动态预测[J].华南师范大学学报(自然科学版),2015,47(4):122-127.MENG Jinhua,ZHANG Zhidong,YUAN Yuzhi,et al.Landscape pattern analysis and dynamic prediction of river basin based on CA-Markov model[J].Journal of South China Normal University(Natural Science Edition),2015,47(4):122-127.
[2]GREGORY S V,SWANSON F J,MCKEE W A,et al.An ecosystem perspective of riparian zones-focus on links between land and water[J].Bio Science,1991,41(8):540-551.
[3]刘宗群.三峡水库水位涨落带的景观生态分析及其对策[J].重庆环境科学,1993(2):24-28.LIU Zongqun.Landscape ecological analysis and countermeasures of Three Gorges reservoir water level fluctuation zone[J].Chongqing Environmental Science,1993(2):24-28.
[4]许静,陈文惠,陈兴伟.图像机理方法提取水体信息的应用分析[J].地球信息科学学报,2009,11(1):98-103.XU Jing,CHEN Wenhui,CHEN Xingwei.Study of water body information extracting metheds based on spectrum characteristics[J].Journal of Geo-Information Science,2009,11(1):98-103.
[5]QI J,MARSETT R C,MORAN M S,et al.Spatial and temporal dynamics of vegetation in the San Pedro river basin area[J].Agricultural&Forest Meteorology,2000,105(1):55-68.
[6]熊春妮.基于遥感的广州市2005—2014年植被覆盖度时空动态分析[J].城市环境与城市生态,2015(4):7-10.XIONG Chunni.Spatial and temporal dynamic analysis of vegetation coverage in Guangzhou city from 2005 to 2014 based on remote sensing[J].Urban Environment Urban Ecology,2015(4):7-10.
[7]杨静雅,李新国,闫凯,等.基于遥感与像元二分模型的新疆和静县草地植被覆盖度时空变化特征研究[J].西北林学院学报,2017,32(1):210-217.YANG Jingya,LI Xinguo,YAN Kai,et al.Temporal and spatial variation characteristics of grassland vegetation coverage in hejing of xinjiang based on remote sensing and dimidiate pixel model[J].Journal of Northwest Forestry University,2017,32(1):210-217.
[8]吴柏清,何政伟,闫静,等.基于遥感与GIS技术的水电站库区植被覆盖度动态变化分析[J].水土保持研究,2008,15(3):39-42.WU Boqing,HE Zhengwei,YAN Jing,et al.Dynamic analysis of vegetation coverage in the reservoir area of hydropower station based on remote sensing and GIS technology[J].Research on Soil and water conservation,2008,15(3):39-42.
[9]徐娜,丁建丽,刘海霞.基于NDVI和LSMM的干旱区植被信息提取研究——以新疆吐鲁番市为例[J].测绘与空间地理信息,2012,35(7):52-57.XU Na,DING Jianli,LIU Haixia.extraction of vegetation information in arid area based on NDVI and LSMM:a case study of Turpan[J].Geomatics&Spatial Information Technology,2012,35(7):52-57.
[10]魏石磊,翟亮,桑会勇,等.像元分解模型的植被覆盖度遥感估算[J].测绘科学,2016,41(1):139-143.WEI Shilei,HUO Liang,SANG Huiyong,et al.Remote sensing estimation of vegetation coverage based on pixel decomposition model[J].Science of Surveying and Mapping,2016,41(1):139-143.
[11]江辉,周光文,刘成林.鄱阳湖区植被覆盖的遥感动态研究[J].江西农业学报,2007,19(1):103-106.JIANG Hui,ZHOU Guangwen,LIU Chenglin.Study on dynamics of vegetation coverage by remote sensing in poyang lake area[J].Acta Agriculture Jiangxi,2007,19(1):103-106.
[12]F OKEKE,A KARNIELI.Methods for fuzzy classification and accuracy assessment of historical aerial photographs for vegetation change analyses.part I:algorithm development[J].International Journal of Remote Sensing,2006,27(1):153-176.
[13]PU RL,GONG P,TIAN Y,et al.Using classification and NDVI differencing methods for monitoring sparse vegetation coverage:a case study of saltcedar in Nevada,USA[J].International Journal of Remote Sensing,2008,29(14):3987-4011.
[14]玛丽艳姑丽·阿西穆,塔西甫拉提·特依拜,买买提·沙吾提,等.基于Markov模型的植被覆盖动态变化预测研究[J].水土保持研究,2013,20(1):121-125.ASIMOW-M,TIYIP-T,MAIMAITI-S,et al.Prediction of vegetation cover change based on Markov mode[J].Research on Soil and water conservation,2013,20(1):121-125.
[15]程先富,张方方,邓良,等.安徽省霍山县植被覆盖度动态变化及预测[J].水土保持通报,2014,34(4):104-109.CHENG Xianfu,ZHANG Fangfang,DENG Liang,et al.Dynamic change and prediction of vegetation coverage in Huoshan county of Anhui province[J].Bulletin of Soil and Water Conservation,2014,34(4):104-109.
[16]林楠,姜琦刚,张红红,等.植被覆盖变化分析及其预测方法研究——以吉林东部为例[J].安徽农业科学,2012,40(25):12591-12593.LIN Nan,JIANG Qigang,ZHANG Honghong,et al.Analysis of vegetation cover change and its prediction method—a case study of eastern Jilin[J].Journal of Anhui Agricultural Sciences,2012,40(25):12591-12593.
[17]石亮亮,杨存建.震区植被覆盖度动态变化及其受损研究——以芦山县为例[J].四川林业科技,2014,35(3):21-26.SHI Liangliang,YANG Cunjian.Study on dynamic change and damage of vegetation coverage in the earthquake area:a case study in lushan county[J].Sichuan Forestry Science&Technology,2014,35(3):21-26.
[18]孙雷刚,郑振华.基于RS的近30年滹沱河流域植被覆盖度动态变化研究[J].地理与地理信息科学,2014,30(6):36-40.SUN Leigang,ZHENG Zhenhua.The dynamic change of Vegetation covered in nearly 30 years of Hutuo river basin based on RS[J].Geography and Geo-Information Science,2014,30(6):36-40.
[19]符静,秦建新,张猛,等.2001—2013年洞庭湖流域植被覆盖度时空变化特征[J].地球信息科学学报,2016,18(9):1209-1216.FU Jing,QIN Jianxin,ZHANG Meng,et al.Spatial and temporal variation characteristics research of vegetation coverage in Dongting lake basin during 2001—2013[J].Journal of Geo-Information Science,2016,18(9):1209-1216.
[20]高晓惠,相里斌,魏儒义,等.基于光谱分类的端元提取算法研究[J].光谱学与光谱分析,2011,31(7):1995-1998.GAO Xiaohui,XIANG Libin,WEI Ruyi,et al.Research on the algorithm of end element extraction based on spectral classification[J].Spectroscopy and Spectral Analysis,2011,31(7):1995-1998.
[21]于龙,周宇峰,丁丽霞,等.基于波谱角分类的土地利用动态监测[J].浙江农林大学学报,2014,31(3):386-393.YU Long,ZHOU Yufeng,DING Lixia,et al.Dynamic monitoring of land use based on spectral angle classification[J].Journal of ZheJiang A&F Univercity,2014,31(3):386-393.
[22]汤洁,汪雪格,李昭阳,等.基于CA-Markov模型的吉林省西部土地利用景观格局变化趋势预测[J].吉林大学学报(地球科学版),2010,40(2):405-411.YANG Jie,WANG Xuege,LI Zhaoyang,et al.Prediction of land use landscape pattern change in the west of Jilin province based on CA-Markov model[J].Journal of Jilin University(Earth Science Edition),2010,40(2):405-411.
[23]王强,刘红,张跃伟,等.三峡水库蓄水后典型消落带植物群落时空动态——以开县白夹溪为例[J].重庆师范大学学报(自然科学版),2012,29(3):66-69.WANG Qiang,LIU Hong,ZHANG Yuewei,et al.Spatial-temporal dynamics of vegetation in the newly created water-level-fluctuation zone of three gorges reservoir:a case study in Baijia stream,Kaixian county,China[J].Journal of Chongqing Normal University(Natural Science),2012,29(3):66-69.
[24]蒙金华,张正栋,袁宇志,等.基于CA-Markov模型的流溪河流域景观格局分析及动态预测[J].华南师范大学学报(自然科学版),2015,47(4):122-127.MENG Jinhua,ZHANG Zhidong,YUAN Yuzhi,et al.Landscape pattern analysis and dynamic prediction of river basin based on CA-Markov model[J].Journal of South China Normal University(Natural Science Edition),2015,47(4):122-127.