1979-2015年松嫩高平原土地利用格局变化及影响因子分析
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  • 英文篇名:Land use pattern change and influential factors analysis of Songnen Plain in 1979-2015
  • 作者:王盼盼 ; 宋戈
  • 英文作者:Wang Panpan;Song Ge;Institute of Land Management,Northeast University;
  • 关键词:土地利用 ; 土地整治 ; 遥感 ; 影响因子 ; 典范对应分析 ; 径向基函数神经网络 ; 巴彦县
  • 英文关键词:land use;;land consolidation;;remote sensing;;influence factor;;canonical correlation analysis;;radial basis function neural network;;Bayan county
  • 中文刊名:NYGU
  • 英文刊名:Transactions of the Chinese Society of Agricultural Engineering
  • 机构:东北大学土地管理研究所;
  • 出版日期:2018-01-23
  • 出版单位:农业工程学报
  • 年:2018
  • 期:v.34;No.329
  • 基金:国家自然科学基金项目(41571165);; 中央高校基本科研业务费(N161406002)
  • 语种:中文;
  • 页:NYGU201802035
  • 页数:9
  • CN:02
  • ISSN:11-2047/S
  • 分类号:264-272
摘要
为明确松嫩高平原土地利用格局变化特征及影响因子对其作用方式。该文以巴彦县为例,在明确1979-1991年、1991-2003年、2003-2015年间研究区土地利用格局变化特征的基础上,运用典范对应分析(CCA,canonical correspondence analusis)和径向基函数(RBF,radial basis function)神经网络模型,分析3个不同时段研究区土地利用格局变化主要影响因子,及各影响因子对土地利用格局作用强度及方向的时间演变规律。研究结果表明:1)3个不同时段,研究区各土地利用类型的面积增减幅度不一,1991-2003年,旱地面积增加11 514.56 hm2,其他用地面积减少6 445.57 hm2,土地利用面积变化幅度最大。2)1991-2003年,坡度、土壤类型、土壤质地、土壤肥力、土壤水分、GDP、区位指数、集中化程度、多样性指数和土地利用强度等关键性影响因子与第1排序轴的影响系数分别为-0.386 6、-0.559 4、-0.342 3、0.648 3、0.352 6、0.187 1、0.393 6、0.417 0、0.388 8、-0.583 3,其强度明显高于1979-1991年和2003-2015年,是造成该期间土地利用类型之间转换频繁,土地利用面积变化幅度大的主要原因。3)3个不同时段,影响各土地利用类型变化的关键性因子不同,在影响因子的共同作用下,土地利用类型的面积增减幅度不一,促使旱地发生转变的土地利用强度,在1991-2003年间对旱地的作用强度明显下降,影响系数由0.485 4变为0.338 4,是旱地在该期间面积增加较多的主要原因。研究结论:3个不同时段内,各关键性影响因子对土地利用格局的作用强度、方向及方式均有所变化,导致研究区土地利用格局存在明显的分异特征。
        A series of ecological and socioeconomic problems were caused by the change of land use pattern.In order to clarify the characteristics of the change of land use pattern and the mode of action of the influence factors in Songnen high plain,this paper,taking Bayan County,Heilongjiang Province as a case,on the basis of the characteristics of land use patterns in the study area during 1979-1991,1991-2003 and 2003-2015,recognized the main influencing factors of land use pattern change in 3 periods and made clear temporal evolution of the strength and direction of the factors on land use patterns based on the canonical correlation analysis and radial basis function neural network.The results showed that,firstly,during 1979-1991,1991-2003 and 2003-2015,the land use types in the study area varied in magnitude and the areas of dry land,paddy field and other land use types varied greatly.The area of dry land increased by 11 514.56 hm2,and the area of other land use types reduced by 6 445.57 hm2 and the land use area changed the most in 1991-2003.Secondly,the change of land use pattern in the study area was influenced by both natural and human factors.The key factors that affected the change of land use pattern were different in the 3 different periods,and the influence intensity,direction and manner of the key influence factors on land use pattern changed.During 1991-2003,the correlation coefficients between key factors as slope,soil type,soil texture,soil fertility,soil moisture,GDP,population,location index,concentration degree,diversity index,land use intensity and the first sort axis were-0.386 6,-0.559 4,-0.342 3,0.648 3,0.352 6,0.187 1,0.091 8,0.393 6,0.417 0,0.388 8,and-0.583 3,respectively,which were higher than those in 1979-1991 and 2003-2015,and resulted in frequent conversion of land use types and large change in land use area during this period.The influence of elevation,slope and landform types on the land use pattern in the study area was greater,and the impact intensity increased firstly and then decreased,the strongest in 1991-2003; soil type,soil texture and soil fertility had great influence on land use pattern,and the soil factors of land use pattern in 1991-2003 were more; distance factors,i.e.distance from town center and distance from river had great influence on land use pattern,and the change of intensity was not significant; the land use degree factors,i.e.location index,degree of centralization,diversity index and land use intensity of land use pattern in the research area were very strong,and the impact strength increased firstly and then decreased,the strongest in 1991-2003.Thirdly,the main factors that affected the change of land use types were different.Moreover,the effects,intensities,directions and ways of different factors on land use types were different.Under the combined effects of various factors,the area change of land use types was different.The change of dry land was greatly affected by the intensity of land use.The land use intensity caused by the change of dry land decreased obviously in the 1991-2003 years.The influence coefficient was 0.485 4,0.338 4 and 0.335 5 respectively in 3 different periods,which promoted the intensity of land use change in dry land.The intensity of land use decreased significantly in the 1991-2003 years,which was the main reason to the increase of dry land area during this period.The change of paddy field was increased due to the influence of the distance from water areas and the soil moisture.The influence coefficient increased from 0.144 1,0.332 3 in 1979-1991 to 0.295,0.343 in 2003-2015 respectively.The conclusion is that:In 3 different periods,the key factors on the intensity,direction and way of the land use pattern have changed more or less,which leads to the obvious differentiation characteristics of land use pattern in the study area.
引文
[1]杨丽,谢高地,甄霖,等.泾河流域土地利用格局的时空变化分析[J].资源科学,2005,27(4):26-32.Yang Li,Xie Gaodi,Zhen Lin,et al.Spatio-temporal changes of land use in Jinghe watershed[J].Resources Science,2005,27(4):26-32.(in Chinese with English abstract)
    [2]魏莲,刘学录.基于GIS和DEM的土地利用空间格局分析:以兰州市为例[J].干旱区资源与环境,2014,28(4):54-59.Wei Lian,Liu Xuelu.Spatial pattern of land use in Lanzhou city based on GIS[J].Journal of Arid Land Resources and Environment,2014,28(4):54-59.(in Chinese with English abstract)
    [3]郭洪峰,许月卿,吴艳芳.基于地形梯度的土地利用格局与时空变化分析:以北京市平谷区为例[J].经济地理,2013,33(1):160-166.Guo Hongfeng,Xu Yueqing,Wu Yanfang.Analysis of the land use spatial pattern and spatio-temporal changes based on terrain gradient:A case study of Pinggu district in Beijing[J].Economic Geography,2013,33(1):160-166.(in Chinese with English abstract)
    [4]阳柏苏,何平,赵同谦.张家界国家森林公园土地利用格局变化[J].生态学报,2006,26(6):2027-2034.Yang Bosu,He Ping,Zhao Tongqian.Land use pattern changes from 1990 to 2000 in Zhangjiajie national forest park[J].Acta Ecologica Sinica,2006,26(6):2027-2034.(in Chinese with English abstract)
    [5]宋戈,王盼盼,王越,等.黑龙江省巴彦县土地利用类型变化特征及其空间格局分异[J].经济地理,2015,35(3):163-170.Song Ge,Wang Panpan,Wang Yue,et al.Land-use types change characteristics and spatial heterogeneity in Bayan of Heilongjiang province[J].Economic Geography,2015,35(3):163-170.(in Chinese with English abstract)
    [6]刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.Liu Jiyuan,Kuang Wenhui,Zhang Zengxiang,et al.Spatiotemporal characteristics,patterns and causes of land use changes in China since the late 1980s[J].Acta Geographica Sinica,2014,69(1):3-14.(in Chinese with English abstract)
    [7]满苏尔·沙比提,祖丽胡玛尔·达吾提.南疆典型绿洲土地利用空间格局变化特征分析:以疏勒县为例[J].干旱区资源与环境,2012,26(8):84-88.Mansur·Shabit,Zulhumar·Dawut.Dynamic characteristics of spatial pattern of the typical oasis land use in Shule county,southern Xinjiang[J].Journal of Arid Land Resources and Environment,2012,26(8):84-88.(in Chinese with English abstract)
    [8]贡璐,潘晓玲,师庆东,等.塔里木河上游土地利用格局变化及其影响因子分析[J].资源科学,2005,27(4):71-75.Gong Lu,Pan Xiaoling,Shi Qingdong,et al.Land use pattern and influential factors in the upper reaches of Tarim river[J].Resources Science,2005,27(4):71-75.(in Chinese with English abstract)
    [9]张健,陈凤,濮励杰,等.近20年苏锡常地区土地利用格局变化及其驱动因素分析[J].资源科学,2007,29(4):61-69.Zhang Jian,Chen Feng,Pu Lijie,et al.Analyzing land use change and its driving forces in SXC region over the past 20years[J].Resources Science,2007,29(4):61-69.(in Chinese with English abstract)
    [10]Wang Xiuhong,Zheng Du,Shen Yuancun.Land use change and its driving forces on the Tibetan Plateau during 1990-2000[J].Catena,2008,72(1):56-66.
    [11]Xie Yichun,Yu Mei,Tian Guangjin,et al.Socio-economic driving forces of arable land conversion:A case study of Wuxian city,China[J].Global Environmental Change,2005,15(3):238-252.
    [12]吴桂平,曾永年,邹滨,等.Auto Logistic方法在土地利用格局模拟中的应用:以张家界市永定区为例[J].地理学报,2008,63(2):156-164.Wu Guiping,Zeng Yongnian,Zou Bin,et al.Simulation on spatial land use patterns using auto logistic method:a case study of Yongding county,Zhangjiajie[J].Acta Geographica Sinica,2008,63(2):156-164.(in Chinese with English abstract)
    [13]崔卫国,文倩,刘艳艳,等.基于DEM的醴陵市土地利用空间格局分析[J].资源科学,2008,30(2):228-234.Cui Weiguo,Wen Qian,Liu Yanyan,et al.Analyzing spatial pattern of land use in Liling city based on DEM[J].Resources Science,2008,30(2):228-234.(in Chinese with English abstract)
    [14]王学志,张正祥,盛连喜,等.基于地貌特征的东北土地利用格局[J].生态学杂志,2010,29(12):2444-2451.Wang Xuezhi,Zhang Zhengxiang,Sheng Lianxi,et al.Land use patterns in northest China based on landform characteristics[J].Chinese Journal of Ecology,2010,29(12):2444-2451.(in Chinese with English abstract)
    [15]龚文峰,袁力,范文义.基于地形梯度的哈尔滨市土地利用格局变化分析[J].农业工程学报,2013,29(2):250-259.Gong Wenfeng,Yuan Li,Fan Wenyi.Analysis on land use pattern changes in Harbin based on terrain gradient[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2013,29(2):250-259.(in Chinese with English abstract)
    [16]杨涵,王芳芳,吴世新,等.基于分形理论的新疆土地利用空间格局分析[J].干旱区研究,2009,26(2):194-199.Yang Han,Wang Fangfang,Wu Shixin,ea al.Evaluation of the spatial pattern of landuse in Xinjiang in the last 15 years based on fractal theory[J].Arid Zone Research,2009,26(2):194-199.(in Chinese with English abstract)
    [17]段增强,张凤荣,苗利梅.基于邻域因子的土地利用空间格局分析:以北京市海淀区为例[J].农业工程学报,2006,22(6):71-76.Duan Zengqiang,Zhang Fengrong,Miao Limei.Neighborhoodbased method for land-use spatial pattern analysis and its application[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2006,22(6):71-76.(in Chinese with English abstract)
    [18]霍明明,张轶莹,陈伟强.基于CA-Markov的土地利用变化及预测研究:以巩义市鲁庄镇为例[J].中国农学通报,2015,31(12):279-284.Huo Mingming,Zhang Yiying,Chen Weiqiang.The land use change and prediction based on CA-Markov model:a case of Luzhuang town,Gongyi city[J].Chinese Agricultural Science Bulletin,2015,31(12):279-284.(in Chinese with English abstract)
    [19]黄明,张学霞,张建军,等.基于CLUE-S模型的罗玉沟流域多尺度土地利用变化模拟[J].资源科学,2012,34(4):769-776.Huang Ming,Zhang Xuexia,Zhang Jianjun,et al.A multi-scale simulation of land use change in Luoyugou watershed based on CLUE-S model[J].Resources Science,2012,34(4):769-776.(in Chinese with English abstract)
    [20]张荣天,焦华富.长江经济带城市土地利用效率格局演变及驱动机制研究[J].长江流域资源与环境,2015,24(3):387-394.Zhang Rongtian,Jiao Huafu.Urban land use efficiency pattern evolution and driving mechanism in the Yangtze river economic belt[J].Resources and Environment in the Yangtze Basin,2015,24(3):387-394.(in Chinese with English abstract)
    [21]韩会然,杨成凤,宋金平.北京市土地利用空间格局演化模拟及预测[J].地理科学进展,2015,34(8):976-986.Han Huiran,Yang Chengfeng,Song Jinping.Simulation and projection of land-use change in Beijing under different scenarios[J].Progress in Geography,2015,34(8):976-986.(in Chinese with English abstract)
    [22]王日明,熊兴耀,肖洋.重庆市永川区土地利用空间格局变化模拟[J].中国农学通报,2014,30(35):166-171.Wang Riming,Xiong Xingyao,Xiao Yang.Simulation of land use spatial pattern change on county scale of Yongchuan district in Chongqing[J].Chinese Agricultural Science Bulletin,2014,30(35):166-171.(in Chinese with English abstract)
    [23]宋戈,李丹,王越,等.松嫩高平原黑土区耕地利用系统安全格局及其空间演变[J].农业工程学报,2014,30(4):212-221.Song Ge,Li Dan,Wang Yue,et al.Security pattern and spatial evolution of cultivated land use system in black soil region,Songnen high plain[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2014,30(4):212-221.(in Chinese with English abstract)
    [24]徐珊,宋戈,李丹,等.东北粮食主产区耕地资源时空变化及其对粮食生产能力的影响[J].农业工程学报,2012,28(21):1-9.Xu Shan,Song Ge,Li Dan,et al.Spatial-temporal variation of cultivated land and its effects on grain production capacity of northeast grain main production area[J].Transactions of the Chinese Society of Agricultural Engineering(Transactionsof the CSAE),2012,28(21):1-9.(in Chinese with English abstract)
    [25]田超,杨金泽,石博安,等.怀来县土地利用格局的影响因子分析[J].中国生态农业学报,2016,24(7):957-968.Tian Chao,Yang Jinze,Shi Boan,et al.Analysis of landscape pattern and affecting factors in Huailai county[J].Chinese Journal of Eco-Agriculture.2016,24(7):957-968.(in Chinese with English abstract)
    [26]耿润哲,李明涛,王晓燕,等.基于SWAT模型的流域土地利用格局变化对面源污染的影响[J].农业工程学报,2015,31(16):241-250.Geng Runzhe,Li Mingtao,Wang Xiaoyan,et al.Effect of land use/landscape changes on diffuse pollution load from watershed based on SWAT model[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2015,31(16):241-250.(in Chinese with English abstract)
    [27]贾文臣,王卷乐,杜佳.胶东地区主要土地利用变化类型与影响因子的关系[J].地理科学进展,2009,28(4):591-596.Jia Wenchen,Wang Juanle,Du Jia.Analysis on relationship between main land use conversion types and influencing factors in Jiaodong region,China[J].Progress in Geography,2009,28(4):591-596.(in Chinese with English abstract)
    [28]孙汉儒,付梅臣.基于CCA的南京市土地利用变化人文影响分析[J].中国人口·资源与环境,2014,25(4):422-425.Sun Hanru,Fu Meichen.Research on human dimensions of land use changes in Nanjing based on canonical correlation analysis[J].China Population Resources and Environment,2014,25(4):422-425.(in Chinese with English abstract)
    [29]向敬伟,李江风,曾杰.鄂西贫困县耕地利用转型空间分异及其影响因素[J].农业工程学报,2016,32(1):272-279.Xiang Jingwei,Li Jiangfeng,Zeng Jie.Spatial difference and its influence factors of cultivated land transition of poverty counties inwest of Hubei[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2016,32(1):272-279.(in Chinese with English abstract)
    [30]吴明,姚尧,贾冯睿,等.基于径向基函数神经网络方法的城市生态压力预测[J].自然资源学报,2013,28(2):328-335.Wu Ming,Yao Yao,Jia Fengrui,et al.Urban ecosystem pressure based on radial basis function neural network[J].Journal of Natural Resources,2013,28(2):328-335.(in Chinese with English abstract)

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