基于缓冲区分析的土地利用程度空间分布规律——以福州市马尾区为例
|
摘要
土地利用程度的研究多停留于单一环境影响因子,且缺少定量化研究。引入不同土地利用类型与空间概念,探讨土地利用程度的空间分布规律。以福州市马尾为研究区,选取Landsat-8OLI影像为数据源,利用决策树分类法解译土地利用类型,建立缓冲区并辅以区域统计与空间自相关的方法分析土地利用程度与林地、耕地、水域、未利用地、建设用地的空间分布关系。结果表明:(1)研究区综合指数处于0～400之间,区内土地利用程度大部分处于中等水平,且土地利用程度较高的区域都集中在河流沿岸;(2)研究区内建设用地与林地对土地利用程度综合指数的影响最大;(3)土地利用程度综合指数平均数值分别在林地、水域的200m处达到最大,应设立缓冲带避免用地的破坏;(4)耕地的土地利用程度热点区域与林地的冷点区域较为分散;(5)水域周围400～500m与600～800m、耕地周围500～600m、未利用地周围200～800m处综合指数数值减小速率相对较高且为土地利用程度的"冷点"区域,对此距离应重点监控。该研究可以为科学管理土地提供有效的依据,为城市规划提供理性指导。
The study of land use degree mostly stays in a single environmental impact factor,and lacks quantitative research.This paper introduced different land use types and spatial concepts,and explored the spatial distribution of land use degree.This paper took Fuzhou Mawei as the research area,and Landsat-8 OLI image was selected as the data source.Based on the decision tree classification method,the types of land use in the study area were analyzed,and based on the buffer zone,the spatial distribution of forestland,farmland,water,unused land and construction land was studied by using regional statistics and spatial autocorrelation.The results show that:(1)The comprehensive index of the study area is between 0 and 400.Most of the land use in the region is at a moderate level,and the areas with high land use are concentrated in the river.(2)The construction land and forestland in the study area have the greatest influence on the comprehensive index of land use degree.(3)The average value of land use comprehensive index is the largest at 200 min forestland and water respectively,and the buffer zone should be set up to protect land security.(4)The land use degree of farmland is more dispersed,and the cold spot area of forest land is more dispersed.(5)In the area 400～500 mand 600～800 maround the water,500～600 maround the cultivated land,and200～800 maround the unused land,the composite index is relatively high and it is the"cold spot"area of the land use degree,while this distance should be monitored with high priority.This study can provide effective basis for scientific management of land and rational guidance for urban planning.
The study of land use degree mostly stays in a single environmental impact factor,and lacks quantitative research.This paper introduced different land use types and spatial concepts,and explored the spatial distribution of land use degree.This paper took Fuzhou Mawei as the research area,and Landsat-8 OLI image was selected as the data source.Based on the decision tree classification method,the types of land use in the study area were analyzed,and based on the buffer zone,the spatial distribution of forestland,farmland,water,unused land and construction land was studied by using regional statistics and spatial autocorrelation.The results show that:(1)The comprehensive index of the study area is between 0 and 400.Most of the land use in the region is at a moderate level,and the areas with high land use are concentrated in the river.(2)The construction land and forestland in the study area have the greatest influence on the comprehensive index of land use degree.(3)The average value of land use comprehensive index is the largest at 200 min forestland and water respectively,and the buffer zone should be set up to protect land security.(4)The land use degree of farmland is more dispersed,and the cold spot area of forest land is more dispersed.(5)In the area 400～500 mand 600～800 maround the water,500～600 maround the cultivated land,and200～800 maround the unused land,the composite index is relatively high and it is the"cold spot"area of the land use degree,while this distance should be monitored with high priority.This study can provide effective basis for scientific management of land and rational guidance for urban planning.
引文
[1]MEYFROIDT P,LAMBIN E F,ERB K H,et al.Globalization of land use:distant drivers of land change and geographic displacement of land use[J].Current Opinion in Environmental Sustainability,2013,5(5):438-444.
[2]PAPA G L,PALERMO V,DAZZI C.Is land-use change a cause of loss of pedodiversity?the case of the Mazzarrone study area,Sicily[J].Geomorphology,2011,135(3/4):332-342.
[3]朱会义,孙明慧.土地利用集约化研究的回顾与未来工作重点[J].地理学报,2014,69(9):1346-1357.
[4]孙传谆,甄霖,王超,等.生态建设工程对鄱阳湖区域土地利用/覆被变化的影响[J].资源科学,2015,37(10):1953-1961.
[5]OVERMARS K P,DE KONING G H J,VEIDKAMP A.Spatial autocorrelation in multi-scale land use models[J].Ecological Modelling,2003,(164):257-270.
[6]FERREIRA M P,ALVES D S,SHIMABUKURO Y E.Forest dynamics and land-use transitions in the Brazilian Atlantic Forest:the case of sugarcane expansion[J].Regional Environmental Change,2015,15(2):365-377.
[7]CARMONA A,NAHUELHUAL L.Combining land transitions and trajectories in assessing forest cover change[J].Applied Geography,2012,32(2):904-915.
[8]LIU Y,LONG H,LI T,et al.Land use transitions and their effects on water environment in Huang-Huai-Hai Plain,China[J].Land Use Policy,2015,47(47):293-301.
[9]吕晓,黄贤金,钟太洋,等.土地利用规划对建设用地扩张的管控效果分析:基于一致性与有效性的复合视角[J].自然资源学报,2015,30(2):177-187.
[10]杨胜天,周旭,刘晓燕,等.黄河中游多沙粗沙区(渭河段)土地利用对植被盖度的影响[J].地理学报,2014,69(1):31-41.
[11]ZHAO Y,MURAYAMA Y.Effect of spatial scale on urban land-use pattern analysis[J].Theory&Applications of GIS,2011,14(1):29-42.
[12]孙倩,塔西甫拉提·特依拜,张飞,等.渭干河库车河三角洲绿洲土地利用/覆被时空变化遥感研究[J].生态学报,2012,32(10):3252-3265.
[13]胡和兵,刘红玉,郝敬锋,等.城市化流域生态系统服务价值时空分异特征及其对土地利用程度的响应[J].生态学报,2013,33(8):2565-2576.
[14]李启权,张新,高雪松,等.川中丘陵县域土地利用程度与效益耦合协调格局分析[J].农业现代化研究,2014,35(1):97-102.
[15]徐羽,钟业喜,冯兴华,等.江西省土地利用变化及其对人类活动的响应[J].水土保持研究,2017,24(1):181-186.
[16]刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社,1996:86-186.
[17]TONG D,MURRAY A T.Spatial optimization in geography[J].Annals of the Association of American Geographers,2012,102(6):1290-1309.
[18]TODD M J,MUNEEPEERAKUL R,PUMO D,et al.Hydrological drivers of wetland vegetation community distribution within Everglades National Park,Florida[J].Advances in Water Resources,2010,33(10):1279-1289.
[19]王润,刘家明,陈田,等.北京市郊区游憩空间分布规律[J].地理学报,2010,65(6):745-754.
[20]吴桂平,叶春,刘元波.鄱阳湖自然保护区湿地植被生物量空间分布规律[J].生态学报,2015,35(2):361-369.
[21]DELEGIDO J,VERRELST J,MEZA C M,et al.A red-edge spectral index for remote sensing estimation of green LAIover agroecosystems[J].European Journal of Agronomy,2013,46(46):42-52.
[22]BEQUET R,CAMPIOLI M,KINT V,et al.Spatial variability of leaf area index in Homogeneous Forests relates to local variation in tree characteristics[J].Forest Science,2012,58(6):633-640.
[23]韦仕川,熊昌盛,栾乔林,等.基于耕地质量指数局部空间自相关的耕地保护分区[J].农业工程学报,2014,30(18):249-256.
[2]PAPA G L,PALERMO V,DAZZI C.Is land-use change a cause of loss of pedodiversity?the case of the Mazzarrone study area,Sicily[J].Geomorphology,2011,135(3/4):332-342.
[3]朱会义,孙明慧.土地利用集约化研究的回顾与未来工作重点[J].地理学报,2014,69(9):1346-1357.
[4]孙传谆,甄霖,王超,等.生态建设工程对鄱阳湖区域土地利用/覆被变化的影响[J].资源科学,2015,37(10):1953-1961.
[5]OVERMARS K P,DE KONING G H J,VEIDKAMP A.Spatial autocorrelation in multi-scale land use models[J].Ecological Modelling,2003,(164):257-270.
[6]FERREIRA M P,ALVES D S,SHIMABUKURO Y E.Forest dynamics and land-use transitions in the Brazilian Atlantic Forest:the case of sugarcane expansion[J].Regional Environmental Change,2015,15(2):365-377.
[7]CARMONA A,NAHUELHUAL L.Combining land transitions and trajectories in assessing forest cover change[J].Applied Geography,2012,32(2):904-915.
[8]LIU Y,LONG H,LI T,et al.Land use transitions and their effects on water environment in Huang-Huai-Hai Plain,China[J].Land Use Policy,2015,47(47):293-301.
[9]吕晓,黄贤金,钟太洋,等.土地利用规划对建设用地扩张的管控效果分析:基于一致性与有效性的复合视角[J].自然资源学报,2015,30(2):177-187.
[10]杨胜天,周旭,刘晓燕,等.黄河中游多沙粗沙区(渭河段)土地利用对植被盖度的影响[J].地理学报,2014,69(1):31-41.
[11]ZHAO Y,MURAYAMA Y.Effect of spatial scale on urban land-use pattern analysis[J].Theory&Applications of GIS,2011,14(1):29-42.
[12]孙倩,塔西甫拉提·特依拜,张飞,等.渭干河库车河三角洲绿洲土地利用/覆被时空变化遥感研究[J].生态学报,2012,32(10):3252-3265.
[13]胡和兵,刘红玉,郝敬锋,等.城市化流域生态系统服务价值时空分异特征及其对土地利用程度的响应[J].生态学报,2013,33(8):2565-2576.
[14]李启权,张新,高雪松,等.川中丘陵县域土地利用程度与效益耦合协调格局分析[J].农业现代化研究,2014,35(1):97-102.
[15]徐羽,钟业喜,冯兴华,等.江西省土地利用变化及其对人类活动的响应[J].水土保持研究,2017,24(1):181-186.
[16]刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社,1996:86-186.
[17]TONG D,MURRAY A T.Spatial optimization in geography[J].Annals of the Association of American Geographers,2012,102(6):1290-1309.
[18]TODD M J,MUNEEPEERAKUL R,PUMO D,et al.Hydrological drivers of wetland vegetation community distribution within Everglades National Park,Florida[J].Advances in Water Resources,2010,33(10):1279-1289.
[19]王润,刘家明,陈田,等.北京市郊区游憩空间分布规律[J].地理学报,2010,65(6):745-754.
[20]吴桂平,叶春,刘元波.鄱阳湖自然保护区湿地植被生物量空间分布规律[J].生态学报,2015,35(2):361-369.
[21]DELEGIDO J,VERRELST J,MEZA C M,et al.A red-edge spectral index for remote sensing estimation of green LAIover agroecosystems[J].European Journal of Agronomy,2013,46(46):42-52.
[22]BEQUET R,CAMPIOLI M,KINT V,et al.Spatial variability of leaf area index in Homogeneous Forests relates to local variation in tree characteristics[J].Forest Science,2012,58(6):633-640.
[23]韦仕川,熊昌盛,栾乔林,等.基于耕地质量指数局部空间自相关的耕地保护分区[J].农业工程学报,2014,30(18):249-256.
© 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 |