生态系统服务价值与人类活动的时空关联分析——以长江中游华阳河湖群地区为例
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摘要
以1990、2002和2010年华阳河湖群地区LandSat TM影像为数据源,构建生态系统服务价值评估模型、生态系统服务价值流向损益模型和人类活动强度评估模型,应用双变量空间自相关分析生态系统服务价值和人类活动强度的时空关联特征.结果表明:1990~2010年生态系统服务价值持续减少,水域、湿地转为耕地和建设用地是价值损失的主要原因.生态系统服务价值高值区在中部和东北部水域,湖滨价值量减少最严重,北部地区价值量增加,南部减少.人类活动强度低影响区位于水域,中高影响区和中影响区交错分布于北部地区,高影响区集中在南部和西南部地区.3个时期生态系统服务价值和人类活动强度均呈空间负相关,高-低聚集分布于南部和西南部,低-高聚集主要分布于水域.
Based on multi-temporal remote-sensing images(1990, 2002, 2010) in the Huayang Lakes area, a typical lakes area in Yangtze river basin, we built the Ecosystem Services Value(ESV) assessment model using the equivalent factor method and developed the ecosystem service flow gain-and-loss matrix. Meanwhile, a human activity intensity index(HAI) was introduced and correlated with ESV by bivariate spatial autocorrelation method. The results indicated that: The ESV decreased continuously for 20 years mainly resulted from the conversions of water area, tidal-flat area into cultivated land and construction land. From 1990 to 2010, the lakeside area showed a massive reduction in ESV. The high ESV areas were distributed mainly in the central and northeastern lake areas because of the returning from farmland to forest in hilly areas. The southern lake areas decreased substantially with the decreased area expanded because of the agricultural bases and new cities construction. The supply and support services functions had been strengthened, conversely, the regulation and cultural services had been weakened. Spatially, human activities intensity was dominated by low-intensity, medium-intensity and medium-high intensity. The low-intensity human activities were mainly distributed around lake areas, with medium-intensity and medium-high intensity interlaced in the northern region and high-intensity in the southern and southwestern regions. According to the bivariate spatial autocorrelation analysis, HAI was discovered to have the significant negative correlation with ESV. Spatial correlation was significant and the degree of spatial agglomeration was relatively high in the study area. The bivariate LISA figures between HAI with ESV showed the high-low clusters located near the south shore of lakes and the low-high groups mainly gathered in the center water area. It is vital to establish the regional differentiated utilization management policies under the principle of ecological and economy coordinated development in this region and even in the whole Yangtze River basin.
Based on multi-temporal remote-sensing images(1990, 2002, 2010) in the Huayang Lakes area, a typical lakes area in Yangtze river basin, we built the Ecosystem Services Value(ESV) assessment model using the equivalent factor method and developed the ecosystem service flow gain-and-loss matrix. Meanwhile, a human activity intensity index(HAI) was introduced and correlated with ESV by bivariate spatial autocorrelation method. The results indicated that: The ESV decreased continuously for 20 years mainly resulted from the conversions of water area, tidal-flat area into cultivated land and construction land. From 1990 to 2010, the lakeside area showed a massive reduction in ESV. The high ESV areas were distributed mainly in the central and northeastern lake areas because of the returning from farmland to forest in hilly areas. The southern lake areas decreased substantially with the decreased area expanded because of the agricultural bases and new cities construction. The supply and support services functions had been strengthened, conversely, the regulation and cultural services had been weakened. Spatially, human activities intensity was dominated by low-intensity, medium-intensity and medium-high intensity. The low-intensity human activities were mainly distributed around lake areas, with medium-intensity and medium-high intensity interlaced in the northern region and high-intensity in the southern and southwestern regions. According to the bivariate spatial autocorrelation analysis, HAI was discovered to have the significant negative correlation with ESV. Spatial correlation was significant and the degree of spatial agglomeration was relatively high in the study area. The bivariate LISA figures between HAI with ESV showed the high-low clusters located near the south shore of lakes and the low-high groups mainly gathered in the center water area. It is vital to establish the regional differentiated utilization management policies under the principle of ecological and economy coordinated development in this region and even in the whole Yangtze River basin.
引文
[1]Leyk S,Maclaurin G J,Hunter L M,et al.Spatially and Temporally Varying Associations between Temporary Outmigration and Natural Resource Availability in Resource-Dependent Rural Communities in South Africa:A Modeling Framework[J].Applied Geography,2012,34(2):559-568.
[2]Mei Z,Xu S,Ouyang J.Spatio-temporal association analysis of county potential in the Pearl River Delta during 1990–2009[J].Journal of Geographical Sciences,2015,25(3):319-336.
[3]张俊.时空关联性分析方法研究与应用[D].重庆:重庆邮电大学,2011.
[4]Bolund P,Hunhammar S.Ecosystem services in urban areas[J].Ecological Economics,1999,29(2):293-301.
[5]Daily G C.Nature's services:societal dependence on natural ecosystems[J].Pacific Conservation Biology,2000,6(2):220-221.
[6]胡喜生,洪伟,吴承祯,等.福州市土地生态系统服务时空分异特征[J].中国环境科学,2013,33(5):881-888.
[7]李晋昌,王文丽,胡光印,等.玛曲县土地利用/覆盖变化对区域生态系统服务价值的影响[J].中国环境科学,2010,30(11):1579-1584.
[8]Yang W,Thomas D,Liu W,et al.Going Beyond the Millennium Ecosystem Assessment:An Index System of Human Dependence on Ecosystem Services[J].Plos One,2013,8(5):e64581.
[9]Costanza R,D'Arge R,Groot R D,et al.The value of the world's ecosystem services and natural capital[J].Ecological Economics,1997,387(1):3-15.
[10]姚小薇,曾杰,李旺君.武汉城市圈城镇化与土地生态系统服务价值空间相关特征[J].农业工程学报,2015,31(9):249-256.
[11]王燕,高吉喜,邹长新,等.生态保护红线划定及其生态资产变化研究[J].中国环境科学,2017,37(6):2369-2376.
[12]陈浮,葛小平,陈刚,等.城市边缘区景观变化与人为影响的空间分异研究[J].地理科学,2001,21(3):210-216.
[13]Xu M,Dong X,Yang X,et al.Using palaeolimnological data and historical records to assess long-term dynamics of ecosystem services in typical Yangtze shallow lakes(China)[J].Science of the Total Environment,2017,s584-585:791-802.
[14]陈忠升,陈亚宁,李卫红,等.塔里木河干流径流损耗及其人类活动影响强度变化[J].地理学报,2011,66(1):89-98.
[15]程江,杨凯,赵军,等.基于生态服务价值的上海土地利用变化影响评价[J].中国环境科学,2009,29(1):95-100.
[16]叶春,李春华,吴蕾,等.湖滨带生态退化及其与人类活动的相互作用[J].环境科学研究,2015,28(3):401-407.
[17]Li C,Xiao B,Wang Q,et al.Responses of Soil Seed Bank and Vegetation to the Increasing Intensity of Human Disturbance in a Semi-Arid Region of Northern China[J].Sustainability,2017,9(10):1837.
[18]贡璐,张海峰,尼瓦尔·阿木提,等.干旱区内陆河流域典型绿洲土地利用格局变化中的人为影响空间分异研究[J].干旱区地理,2009,32(4):585-591.
[19]张伟锋.基于RS/GIS的山西省土地利用景观格局动态研究[D].太原:山西大学,2008.
[20]张月,张飞,王娟,等.基于LUCC的艾比湖区域生态风险评价及预测研究[J].中国环境科学,2016,36(11):3465-3474.
[21]廖苗.基于CLUE-S模型的城市边缘区土地利用变化模拟[D].福州:福建师范大学,2016.
[22]李振鹏,刘黎明,谢花林.乡村景观分类的方法探析--以北京市海淀区白家疃村为例[J].资源科学,2005,27(2):167-173.
[23]梁发超,刘黎明.景观格局的人类干扰强度定量分析与生态功能区优化初探--以福建省闽清县为例[J].资源科学,2011,33(6):1138-1144.
[24]何念鹏,周道玮,孙刚,等.人为干扰强度对村级景观结构特征的影响[J].农村生态环境,2001,17(2):9-12.
[25]卢金友,姚仕明.关于长江中下游江湖治理的思考[J].中国水利,2010,(16):30-32.
[26]卢金友,张细兵,姚仕明.人类活动影响下长江中下游江湖治理问题探讨[J].人民长江,2013,44(10):18-22.
[27]陈璐,牟子平.太湖滨湖重要生态功能区生态服务功能研究:以苏州市吴中区为例[J].环境科学与技术,2014.37(12):218-224.
[28]赵志刚,余德,韩成云,等.2008~2016年鄱阳湖生态经济区生态系统服务价值的时空变化研究[J].长江流域资源与环境,2017,26(2):198-208.
[29]刘海,殷杰,林苗,等.基于GIS的鄱阳湖流域生态系统服务价值结构变化研究[J].生态学报,2017,37(8):2575-2587.
[30]卢金友,朱勇辉.三峡水库下游江湖演变与治理若干问题探讨[J].长江科学院院报,2014,31(2):98-107.
[31]万荣荣,杨桂山,王晓龙,等.长江中游通江湖泊江湖关系研究进展[J].湖泊科学,2014,26(1):1-8.
[32]妙丹,王石英,李波,等.华阳河湖群地区滩涂地动态遥感监测研究[J].水土保持研究,2014,21(6):158-163.
[33]南箔,毕海洋,李波,等.华阳河湖群地区湖滨带生态农业模式设计研究[J].中国生态农业学报,2014,22(10):1222-1230.
[34]涂小松,龙花楼.2000~2010年鄱阳湖地区生态系统服务价值空间格局及其动态演化[J].资源科学,2015,37(12):2451-2460.
[35]Li-Xia G U,Chang-Nian W U,Hui-Min P U,et al.Ecosystem services value of wetland in Suzhou Taihu Lake[J].Ecological Economy,2010,6(4):349-355.
[36]李哲,张飞,Hsiang-Te Kung,等.1998~2014年艾比湖湿地自然保护区生态系统服务价值及其时空变异[J].生态学报,2017,37(15):4984-4997.
[37]喻露露,张晓祥,李杨帆,等.海口市海岸带生态系统服务及其时空变异[J].生态学报,2016,36(8):2431-2441.
[38]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.
[39]谢高地,肖玉,甄霖,等.我国粮食生产的生态服务价值研究[J].中国生态农业学报,2005,13(3):10-13.
[40]王宽,蔡正华,齐增湘,等.2000-2013年衡阳市土地利用格局转变对生态系统服务的影响[J].中国生态农业学报,2017,25(7):1060-1070.
[41]Chambers F M.The Human Impact:Man's Role in Environmental Change by A.Goudie[J].Geography,1982,67(1):93,95.
[42]荣益,李超,许策,等.城镇化过程中生态系统服务价值变化及人类活动影响的空间分异--以黄骅市为例[J].生态学杂志,2017,36(5):1374-1381.
[43]杨丽霞,杨桂山,姚士谋,等.基于ESDA-GWR的粮食单产及其驱动因子的空间异质性研究[J].经济地理,2012,32(6):120-126.
[2]Mei Z,Xu S,Ouyang J.Spatio-temporal association analysis of county potential in the Pearl River Delta during 1990–2009[J].Journal of Geographical Sciences,2015,25(3):319-336.
[3]张俊.时空关联性分析方法研究与应用[D].重庆:重庆邮电大学,2011.
[4]Bolund P,Hunhammar S.Ecosystem services in urban areas[J].Ecological Economics,1999,29(2):293-301.
[5]Daily G C.Nature's services:societal dependence on natural ecosystems[J].Pacific Conservation Biology,2000,6(2):220-221.
[6]胡喜生,洪伟,吴承祯,等.福州市土地生态系统服务时空分异特征[J].中国环境科学,2013,33(5):881-888.
[7]李晋昌,王文丽,胡光印,等.玛曲县土地利用/覆盖变化对区域生态系统服务价值的影响[J].中国环境科学,2010,30(11):1579-1584.
[8]Yang W,Thomas D,Liu W,et al.Going Beyond the Millennium Ecosystem Assessment:An Index System of Human Dependence on Ecosystem Services[J].Plos One,2013,8(5):e64581.
[9]Costanza R,D'Arge R,Groot R D,et al.The value of the world's ecosystem services and natural capital[J].Ecological Economics,1997,387(1):3-15.
[10]姚小薇,曾杰,李旺君.武汉城市圈城镇化与土地生态系统服务价值空间相关特征[J].农业工程学报,2015,31(9):249-256.
[11]王燕,高吉喜,邹长新,等.生态保护红线划定及其生态资产变化研究[J].中国环境科学,2017,37(6):2369-2376.
[12]陈浮,葛小平,陈刚,等.城市边缘区景观变化与人为影响的空间分异研究[J].地理科学,2001,21(3):210-216.
[13]Xu M,Dong X,Yang X,et al.Using palaeolimnological data and historical records to assess long-term dynamics of ecosystem services in typical Yangtze shallow lakes(China)[J].Science of the Total Environment,2017,s584-585:791-802.
[14]陈忠升,陈亚宁,李卫红,等.塔里木河干流径流损耗及其人类活动影响强度变化[J].地理学报,2011,66(1):89-98.
[15]程江,杨凯,赵军,等.基于生态服务价值的上海土地利用变化影响评价[J].中国环境科学,2009,29(1):95-100.
[16]叶春,李春华,吴蕾,等.湖滨带生态退化及其与人类活动的相互作用[J].环境科学研究,2015,28(3):401-407.
[17]Li C,Xiao B,Wang Q,et al.Responses of Soil Seed Bank and Vegetation to the Increasing Intensity of Human Disturbance in a Semi-Arid Region of Northern China[J].Sustainability,2017,9(10):1837.
[18]贡璐,张海峰,尼瓦尔·阿木提,等.干旱区内陆河流域典型绿洲土地利用格局变化中的人为影响空间分异研究[J].干旱区地理,2009,32(4):585-591.
[19]张伟锋.基于RS/GIS的山西省土地利用景观格局动态研究[D].太原:山西大学,2008.
[20]张月,张飞,王娟,等.基于LUCC的艾比湖区域生态风险评价及预测研究[J].中国环境科学,2016,36(11):3465-3474.
[21]廖苗.基于CLUE-S模型的城市边缘区土地利用变化模拟[D].福州:福建师范大学,2016.
[22]李振鹏,刘黎明,谢花林.乡村景观分类的方法探析--以北京市海淀区白家疃村为例[J].资源科学,2005,27(2):167-173.
[23]梁发超,刘黎明.景观格局的人类干扰强度定量分析与生态功能区优化初探--以福建省闽清县为例[J].资源科学,2011,33(6):1138-1144.
[24]何念鹏,周道玮,孙刚,等.人为干扰强度对村级景观结构特征的影响[J].农村生态环境,2001,17(2):9-12.
[25]卢金友,姚仕明.关于长江中下游江湖治理的思考[J].中国水利,2010,(16):30-32.
[26]卢金友,张细兵,姚仕明.人类活动影响下长江中下游江湖治理问题探讨[J].人民长江,2013,44(10):18-22.
[27]陈璐,牟子平.太湖滨湖重要生态功能区生态服务功能研究:以苏州市吴中区为例[J].环境科学与技术,2014.37(12):218-224.
[28]赵志刚,余德,韩成云,等.2008~2016年鄱阳湖生态经济区生态系统服务价值的时空变化研究[J].长江流域资源与环境,2017,26(2):198-208.
[29]刘海,殷杰,林苗,等.基于GIS的鄱阳湖流域生态系统服务价值结构变化研究[J].生态学报,2017,37(8):2575-2587.
[30]卢金友,朱勇辉.三峡水库下游江湖演变与治理若干问题探讨[J].长江科学院院报,2014,31(2):98-107.
[31]万荣荣,杨桂山,王晓龙,等.长江中游通江湖泊江湖关系研究进展[J].湖泊科学,2014,26(1):1-8.
[32]妙丹,王石英,李波,等.华阳河湖群地区滩涂地动态遥感监测研究[J].水土保持研究,2014,21(6):158-163.
[33]南箔,毕海洋,李波,等.华阳河湖群地区湖滨带生态农业模式设计研究[J].中国生态农业学报,2014,22(10):1222-1230.
[34]涂小松,龙花楼.2000~2010年鄱阳湖地区生态系统服务价值空间格局及其动态演化[J].资源科学,2015,37(12):2451-2460.
[35]Li-Xia G U,Chang-Nian W U,Hui-Min P U,et al.Ecosystem services value of wetland in Suzhou Taihu Lake[J].Ecological Economy,2010,6(4):349-355.
[36]李哲,张飞,Hsiang-Te Kung,等.1998~2014年艾比湖湿地自然保护区生态系统服务价值及其时空变异[J].生态学报,2017,37(15):4984-4997.
[37]喻露露,张晓祥,李杨帆,等.海口市海岸带生态系统服务及其时空变异[J].生态学报,2016,36(8):2431-2441.
[38]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.
[39]谢高地,肖玉,甄霖,等.我国粮食生产的生态服务价值研究[J].中国生态农业学报,2005,13(3):10-13.
[40]王宽,蔡正华,齐增湘,等.2000-2013年衡阳市土地利用格局转变对生态系统服务的影响[J].中国生态农业学报,2017,25(7):1060-1070.
[41]Chambers F M.The Human Impact:Man's Role in Environmental Change by A.Goudie[J].Geography,1982,67(1):93,95.
[42]荣益,李超,许策,等.城镇化过程中生态系统服务价值变化及人类活动影响的空间分异--以黄骅市为例[J].生态学杂志,2017,36(5):1374-1381.
[43]杨丽霞,杨桂山,姚士谋,等.基于ESDA-GWR的粮食单产及其驱动因子的空间异质性研究[J].经济地理,2012,32(6):120-126.