鄂西北地区土地利用格局及其生态系统服务价值的时空变化
|
摘要
鄂西北地区位于湖北省西北部,是我国自然地理南北过渡的重要地区,亦是我国南水北调中线工程的重要水源区,生态环境保护意义重大。在鄂西北地区六期遥感数据基础上,利用地理信息技术和空间统计的方法,研究了该区域土地利用格局的时空变化,对不同用地类型所提供的生态系统服务价值进行评估,分析了生态系统服务价值与土地利用格局的驱动因素和相关性,计算了社会经济因素与生态系统服务价值的空间相关性。研究结果表明:(1)1990—2015年鄂西北主要土地利用类型的变化幅度较小,土地综合动态度为0.06%,土地类型斑块破碎化程度增加,斑块形状趋于复杂。(2)研究区间鄂西北生态服务价值处于上升趋势,生态系统服务价值与景观格局的时空变化具有相关性,其中与多样性指数呈正相关性,与蔓延度指数呈负相关性。(3)人均国内生产总值、人口密度和城镇化率是生态系统价值变化的主要驱动因素,与生态服务价值的局部空间相关性主要集中南部区域。研究结果为鄂西北生态环境可持续发展、合理开发土地资源提供理论依据。
Exibei, located in the northwestern Hubei Province, is recognized as an important region for the geographical transition from north to south. It is also an important water source area of the Central Line Project of South-to-North Water Diversion in China. Above all, conducting the ecological environment protection in the region is necessary. Combing with geographic information technology and spatial statistical methods, this research focused on the temporal and spatial changes of land use pattern in Exibei region based on remote sensing maps from 1990 to 2015. Also, ecosystem service value supported by different land types was evaluated, and the driving factors and correlation of ecosystem service value and land use patterns were analyzed. The spatial relevance of socio-economic factors and ecosystems service value were calculated. The results showed that:(1) Between1990 and 2015, the comprehensive dynamic degree in the study area was 0.06%, indicating that the total land use landscape in the study area changed little. The fragmentation of land use type in the study area increased, the shape of landscape patches tended to be complex.(2) The ecosystem service value in the study area showed an increasing trend. It was related to the spatial-temporal variability of landscape pattern, which was positive with landscape diversity index(SHDI), but negative with contagion index(CONTAG).(3) Per capita GDP, population density and urbanization rate were the main driving factors that decreased regional ecosystem services value, and the local spatial correlation of ecosystem service value was mainly concentrated in the south of study area. The results can provide a theoretical basis for the sustainable development of ecological environment in Exibei region and the rational use of land resources.
Exibei, located in the northwestern Hubei Province, is recognized as an important region for the geographical transition from north to south. It is also an important water source area of the Central Line Project of South-to-North Water Diversion in China. Above all, conducting the ecological environment protection in the region is necessary. Combing with geographic information technology and spatial statistical methods, this research focused on the temporal and spatial changes of land use pattern in Exibei region based on remote sensing maps from 1990 to 2015. Also, ecosystem service value supported by different land types was evaluated, and the driving factors and correlation of ecosystem service value and land use patterns were analyzed. The spatial relevance of socio-economic factors and ecosystems service value were calculated. The results showed that:(1) Between1990 and 2015, the comprehensive dynamic degree in the study area was 0.06%, indicating that the total land use landscape in the study area changed little. The fragmentation of land use type in the study area increased, the shape of landscape patches tended to be complex.(2) The ecosystem service value in the study area showed an increasing trend. It was related to the spatial-temporal variability of landscape pattern, which was positive with landscape diversity index(SHDI), but negative with contagion index(CONTAG).(3) Per capita GDP, population density and urbanization rate were the main driving factors that decreased regional ecosystem services value, and the local spatial correlation of ecosystem service value was mainly concentrated in the south of study area. The results can provide a theoretical basis for the sustainable development of ecological environment in Exibei region and the rational use of land resources.
引文
[1]朱昌丽,张继飞,赵宇鸾,等.青藏高原东缘典型流域生态系统服务的地形梯度效应——以岷江上游为例[J].长江流域资源与环境, 2017, 26(10):1687–1699.
[2] COSTANZA R, D'ARGE R, DE GROOT R, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997, 387:253–260.
[3] BOYD J, BANZHAF S. What are ecosystem services? The need for standardized environmental accounting units[J].Ecological Economics, 2007, 63(2):616–626.
[4]欧阳志云,王如松,赵景柱.生态系统服务功能及其生态经济价值评价[J].应用生态学报, 1999, 10(5):635–640.
[5]林栋,马晖玲,任正超,等.基于LUCC的兰州城市生态系统服务价值动态分析[J].生态科学, 2016, 35(2):134–142.
[6]吴娇,李月臣.三峡库区(重庆段)景观格局变化及其对生态系统服务价值的影响[J].生态与农村环境学报,2018, 34(4):308–317.
[7]刘纪远,张增祥,庄大方,等. 20世纪90年代中国土地利用变化时空特征及其成因分析[J].地理研究, 2003,22(01):1–12.
[8]朱永官,李刚,张甘霖,等.土壤安全:从地球关键带到生态系统服务[J].地理学报, 2015, 70(12):1859–1869.
[9]谭洁,赵赛男,谭雪兰,等. 1996-2016年洞庭湖区土地利用及景观格局演变特征[J].生态科学, 2017, 36(6):89–97.
[10]季军民,刘庆广,王爱.合肥市土地利用变化及其生态系统响应研究[J].生态科学, 2018, 37(3):91–95.
[11]朱方,易琳,杨敏华.快速城市化进程中深圳海岸带景观格局演变特征分析[J].测绘与空间地理信息, 2018,41(05):40–44.
[12] CAO K, SUO A N, SUN Y G. Spatial-temporal dynamics analysis of coastal landscape pattern on driving force of human activities:A case in south Yingkou, China. Applied Ecology&Environmental Research, 2017, 15(3):923–937.
[13]刘绿怡,刘慧敏,任嘉衍,等.生态系统服务形成机制研究进展[J].应用生态学报, 2017, 28(8):2731–2738.
[14]宋豫秦,张晓蕾.论湿地生态系统服务的多维度价值评估方法[J].生态学报, 2014, 34(06):1352–1360.
[15]谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J].自然资源学报, 2003,(02):189–196.
[16]高亚鸣,孙慧兰.基于土地分类利用下伊犁河谷地区的生态服务价值研究[J].生态科学, 2017, 36(1):193–200.
[17]刘亚茹,王聪,严力蛟.华北平原农区土地利用变化对生态系统服务的影响——以河南省商丘市为例[J].应用生态学报, 2018, 29(05):1597–1606.
[18]湖北统计局. 2016湖北统计年鉴[M].北京:中国统计出版社, 2016.
[19]张骞,高明,杨乐,等. 1988—2013年重庆市主城九区生态用地空间结构及其生态系统服务价值变化[J].生态学报, 2017, 37(02):566–575.
[20]胡绵好,袁菊红,蔡静远,周早弘.河流城市土地利用景观格局变化及其生态风险分析——以江西省德兴市为例[J].生态科学, 2018, 37(01):78–86.
[21]王航,秦奋,朱筠,等.土地利用及景观格局演变对生态系统服务价值的影响.生态学报, 2017, 37(4):1286–1296.
[22]谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报, 2008, 23(5):911–919.
[23]谢高地,张彩霞,张雷明,等.基于单位面积价值当量因子的生态系统服务价值化方法改进[J].自然资源学报,2015(8):1243–1254.
[24]湖北省统计局. 2011年湖北省统计年鉴[M].北京:中国统计出版社, 2011.
[25]罗盛锋,闫文德.广西北部湾沿岸地区生态系统服务价值变化及其驱动力[J].生态学报, 2018, 38(09):3248–3259.
[26]曾杰,李江风,姚小薇.武汉城市圈生态系统服务价值时空变化特征[J].应用生态学报, 2014, 25(3):883–891.
[27]王蓓,赵军,胡秀芳.基于InVEST模型的黑河流域生态系统服务空间格局分析[J].生态学杂志, 2016, 35(10):2783–2792.
[28]王丽群,张志强,李格,等.北京边缘地区景观格局变化及对生态系统服务的影响评价——以牛栏山-马坡镇为例[J].生态学报, 2018, 38(3):750–759.
[29]顾泽贤,赵筱青,高翔宇,等.澜沧县景观格局变化及其生态系统服务价值评价[J].生态科学, 2016(5):143–153.
[2] COSTANZA R, D'ARGE R, DE GROOT R, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997, 387:253–260.
[3] BOYD J, BANZHAF S. What are ecosystem services? The need for standardized environmental accounting units[J].Ecological Economics, 2007, 63(2):616–626.
[4]欧阳志云,王如松,赵景柱.生态系统服务功能及其生态经济价值评价[J].应用生态学报, 1999, 10(5):635–640.
[5]林栋,马晖玲,任正超,等.基于LUCC的兰州城市生态系统服务价值动态分析[J].生态科学, 2016, 35(2):134–142.
[6]吴娇,李月臣.三峡库区(重庆段)景观格局变化及其对生态系统服务价值的影响[J].生态与农村环境学报,2018, 34(4):308–317.
[7]刘纪远,张增祥,庄大方,等. 20世纪90年代中国土地利用变化时空特征及其成因分析[J].地理研究, 2003,22(01):1–12.
[8]朱永官,李刚,张甘霖,等.土壤安全:从地球关键带到生态系统服务[J].地理学报, 2015, 70(12):1859–1869.
[9]谭洁,赵赛男,谭雪兰,等. 1996-2016年洞庭湖区土地利用及景观格局演变特征[J].生态科学, 2017, 36(6):89–97.
[10]季军民,刘庆广,王爱.合肥市土地利用变化及其生态系统响应研究[J].生态科学, 2018, 37(3):91–95.
[11]朱方,易琳,杨敏华.快速城市化进程中深圳海岸带景观格局演变特征分析[J].测绘与空间地理信息, 2018,41(05):40–44.
[12] CAO K, SUO A N, SUN Y G. Spatial-temporal dynamics analysis of coastal landscape pattern on driving force of human activities:A case in south Yingkou, China. Applied Ecology&Environmental Research, 2017, 15(3):923–937.
[13]刘绿怡,刘慧敏,任嘉衍,等.生态系统服务形成机制研究进展[J].应用生态学报, 2017, 28(8):2731–2738.
[14]宋豫秦,张晓蕾.论湿地生态系统服务的多维度价值评估方法[J].生态学报, 2014, 34(06):1352–1360.
[15]谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J].自然资源学报, 2003,(02):189–196.
[16]高亚鸣,孙慧兰.基于土地分类利用下伊犁河谷地区的生态服务价值研究[J].生态科学, 2017, 36(1):193–200.
[17]刘亚茹,王聪,严力蛟.华北平原农区土地利用变化对生态系统服务的影响——以河南省商丘市为例[J].应用生态学报, 2018, 29(05):1597–1606.
[18]湖北统计局. 2016湖北统计年鉴[M].北京:中国统计出版社, 2016.
[19]张骞,高明,杨乐,等. 1988—2013年重庆市主城九区生态用地空间结构及其生态系统服务价值变化[J].生态学报, 2017, 37(02):566–575.
[20]胡绵好,袁菊红,蔡静远,周早弘.河流城市土地利用景观格局变化及其生态风险分析——以江西省德兴市为例[J].生态科学, 2018, 37(01):78–86.
[21]王航,秦奋,朱筠,等.土地利用及景观格局演变对生态系统服务价值的影响.生态学报, 2017, 37(4):1286–1296.
[22]谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报, 2008, 23(5):911–919.
[23]谢高地,张彩霞,张雷明,等.基于单位面积价值当量因子的生态系统服务价值化方法改进[J].自然资源学报,2015(8):1243–1254.
[24]湖北省统计局. 2011年湖北省统计年鉴[M].北京:中国统计出版社, 2011.
[25]罗盛锋,闫文德.广西北部湾沿岸地区生态系统服务价值变化及其驱动力[J].生态学报, 2018, 38(09):3248–3259.
[26]曾杰,李江风,姚小薇.武汉城市圈生态系统服务价值时空变化特征[J].应用生态学报, 2014, 25(3):883–891.
[27]王蓓,赵军,胡秀芳.基于InVEST模型的黑河流域生态系统服务空间格局分析[J].生态学杂志, 2016, 35(10):2783–2792.
[28]王丽群,张志强,李格,等.北京边缘地区景观格局变化及对生态系统服务的影响评价——以牛栏山-马坡镇为例[J].生态学报, 2018, 38(3):750–759.
[29]顾泽贤,赵筱青,高翔宇,等.澜沧县景观格局变化及其生态系统服务价值评价[J].生态科学, 2016(5):143–153.
© 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 |