基于地形梯度的赣南地区生态系统服务价值对人为干扰的空间响应
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摘要
赣南地区是我国南方山地丘陵带的重要组成部分,属于我国重要的生态屏障带,生态保护意义重大。以赣南为研究区域,基于1990—2015年间的6期遥感影像,利用遥感、地理信息技术和空间统计的方法,研究了赣南地区基于地形梯度变化的土地利用结构及生态系统服务价值的时空分异,基于网格法分析了全区人为干扰度空间分布及其与地形梯度的关系,并对人为干扰度与生态系统服务价值的空间相关性进行了分析。研究结果表明:(1)随着地形梯度的上升,赣南地区的林地面积比例逐渐上升,其他用地类型的面积比例逐渐下降;其中林地和耕地的变化最为显著;(2) 1990—2015年间赣南地区的生态系统服务价值均随着地形梯度的上升而下降;在地形位指数为0.2164—0.6826的梯度1区域下降最为显著;(3)人为干扰分析显示,90%的高人为干扰度网格分布在低海拔和低坡度的地形梯度1区域,在其他地形梯度分布较少;(4)赣南地区生态系统服务价值和人为干扰度值存在极为显著的空间集聚现象,高-低型集聚区主要分布在地形梯度1的大余县、南康市、赣州市区、信丰县、瑞金市、会昌县、兴国县、于都县等8个县市,低-高型集聚区主要分布在地形梯度较高的崇义县和上犹县。分析了赣南地区生态系统服务价值的地形梯度变化及其与人为干扰度的空间聚类效应,为合理布局和保护我国南方丘陵的生态用地,发挥赣南地区的生态屏障作用提供了理论依据和决策支持。
Gannan region,an important ecological barrier in southern China,is a typical mountain-hill area in Jiangxi Province,China,and its ecological protection is of great significance. In this study,using data of 5-year intervals from 1990 to 2015,land-use types and ecosystem service value in Gannan region were evaluated on the basis of the terrain gradient by using remote-sensing,geographic information technology,and spatial statistical methods. In addition,human interference and spatial correlation with ecosystem service value were investigated using the grid method. The results showed that( 1)the proportion of forests increased as the terrain gradient increased,and the other types of land use have gradually decreased,especially forest and farmland.( 2) The ecosystem service value in the Gannan region declined over the study period,and per unit area ecosystem service value reduced as the terrain gradient increased. Especially,terrain gradient 1,where the terrain index is between 0.2164 and 0.6826,was extremely decreased.( 3) Spatial analysis of human interference grading showed that 90% of high human interference was distributed in the area of terrain gradient 1,where the terrain features are low altitude and low slope,and only 10% were scattered in other gradients.( 4) Significant spatial aggregation distributions were observed between ecosystem service value and human interference in Gannan region,and the high-low aggregation was mainly distributed in 8 counties,namely,Dayu County,Nankang City,Ganzhou City,Xinfeng County,Ruijin City,Huichang County,Xingguo County,and Yudu County. The low-high aggregation was mainly distributed in Chongyi County and Shangyou County. The ecosystem service value and its spatial response to human interference were analyzed on the basis of the terrain gradient in Gannan region,and the results provided a theoretical basis and decision support mechanism for the rational layout and protection of ecological land in the hilly areas of southern China.
Gannan region,an important ecological barrier in southern China,is a typical mountain-hill area in Jiangxi Province,China,and its ecological protection is of great significance. In this study,using data of 5-year intervals from 1990 to 2015,land-use types and ecosystem service value in Gannan region were evaluated on the basis of the terrain gradient by using remote-sensing,geographic information technology,and spatial statistical methods. In addition,human interference and spatial correlation with ecosystem service value were investigated using the grid method. The results showed that( 1)the proportion of forests increased as the terrain gradient increased,and the other types of land use have gradually decreased,especially forest and farmland.( 2) The ecosystem service value in the Gannan region declined over the study period,and per unit area ecosystem service value reduced as the terrain gradient increased. Especially,terrain gradient 1,where the terrain index is between 0.2164 and 0.6826,was extremely decreased.( 3) Spatial analysis of human interference grading showed that 90% of high human interference was distributed in the area of terrain gradient 1,where the terrain features are low altitude and low slope,and only 10% were scattered in other gradients.( 4) Significant spatial aggregation distributions were observed between ecosystem service value and human interference in Gannan region,and the high-low aggregation was mainly distributed in 8 counties,namely,Dayu County,Nankang City,Ganzhou City,Xinfeng County,Ruijin City,Huichang County,Xingguo County,and Yudu County. The low-high aggregation was mainly distributed in Chongyi County and Shangyou County. The ecosystem service value and its spatial response to human interference were analyzed on the basis of the terrain gradient in Gannan region,and the results provided a theoretical basis and decision support mechanism for the rational layout and protection of ecological land in the hilly areas of southern China.
引文
[1]王静,王克林,张明阳,章春华.南方丘陵山地带植被净第一性生产力时空动态特征.生态学报,2015,35(11):3722-3732.
[2]张海波,张明阳,王克林,秦建新,符静.南方丘陵山地带水源涵养功能变化特征.农业现代化研究,2014,35(3):345-348.
[3]王航,秦奋,朱筠,张传才.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.
[4] Costanza R,D'Arge R,De Groot R,Farber S,Grasso M,Hannon B,Limburg K,Naeem S,O'Neill R V,Paruelo J,Raskin R G,Sutton P,Van Den Belt M. The value of the world's ecosystem services and natural capital. Nature,1997,387(15):253-260.
[5]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.应用生态学报,1999,10(5):635-640.
[6]陈蝶,卫伟,陈利顶,于洋.梯田生态系统服务与管理研究进展.山地学报,2016,34(3):374-384.
[7] Ninan K N,Kontoleon A. Valuing forest ecosystem services and disservices-Case study of a protected area in India. Ecosystem Services,2016,20:1-14.
[8] Soy-Massoni E,Langemeyer J,Varga D,Sáez M,PintóJ. The importance of ecosystem services in coastal agricultural landscapes:case study from the Costa Brava,Catalonia. Ecosystem Services,2016,17:43-52.
[9] Yao J,He X Y,Chen W,Ye Y,Guo R C,Yu L Z. A local-scale spatial analysis of ecosystem services and ecosystem service bundles in the upper Hun River catchment,China. Ecosystem Services,2016,22:104-110.
[10] Kibria A S M G,Behie A,Costanza R,Groves C,Farrell T. The value of ecosystem services obtained from the protected forest of Cambodia:The case of Veun Sai-Siem pang national park. Ecosystem Services,2017,26:27-36.
[11] Li T H,Li W K,Qian Z H. Variations in ecosystem service value in response to land use changes in Shenzhen. Ecological Economics,2010,69(7):1427-1435.
[12] Brentrup F,Küsters J,Lammel J,Kuhlmann H. Life cycle impact assessment of land use based on the hemeroby concept. The International Journal of Life Cycle Assessment,2002,7(6):339-348.
[13] Fehrenbach H,Grahl B,Giegrich J,Busch M. Hemeroby as an impact category indicator for the integration of land use into life cycle(impact)assessment. The International Journal of Life Cycle Assessment,2015,20(11):1511-1527.
[14]刘晓娜,张微微,李红.基于LUCC的密云水库上游流域人为干扰动态变化.生态与农村环境学报,2016,32(6):951-957.
[15]冯志贤,张继贤,侯伟,翟亮.基于地表覆盖分类的生态环境人为干扰度分析——以北京市为例.生态学杂志,2017,36(2):508-516.
[16]郑文武,田亚平,邹君,邓运员,刘晓燕,邓美容.南方红壤丘陵区人类活动强度的空间模拟与特征分析——以衡阳盆地为例.地球信息科学学报,2010,12(5):628-633.
[17]刘吉平,董春月,盛连喜,刘雁. 1955~2010年小三江平原沼泽湿地景观格局变化及其对人为干扰的响应.地理科学,2016,36(6):879-887.
[18]孙永光,赵冬至,吴涛,卫宝泉,高树刚,李媛,曹芳芳.河口湿地人为干扰度时空动态及景观响应——以大洋河口为例.生态学报,2012,32(12):3645-3655.
[19]张月,张飞,王娟,任岩,Ghulam A,Kung H T,陈芸.近40年艾比湖湿地自然保护区生态干扰度时空动态及景观格局变化.生态学报,2017,37(21):7082-7097.
[20]肖翠,解雪峰,吴涛,蒋国俊,边华菁,徐伟.浙江西门岛湿地景观格局与人为干扰度动态变化.应用生态学报,2014,25(11):3255-3262.
[21]刘富强,吴涛,蒋国俊,Meng X L,童丽颖,张勇,索安宁,朱丽东.海岸线与海岸景观格局对人为干扰度的动态响应——以营口市南部海岸为例.生态学报,2017,37(22):7427-7437.
[22]牛志君,赵建利,王晓晴,封乾,郝丽娜,哈凯,王树涛.基于地形梯度的冀西北山地丘陵区土地利用格局变化分析——以河北省怀来县为例.水土保持研究,2017,24(4):95-102.
[23]赵艳霞,武爱彬,刘欣,秦彦杰.浅山丘陵区土地利用地形梯度特征与生态服务价值响应.水土保持研究,2014,21(3):141-145.
[24]许宁,张广录,刘紫玉.基于地形梯度的河北省太行山区土地利用时空变异研究.中国生态农业学报,2013,21(10):1284-1292.
[25]吴见,王帅帅,谭靖.基于安徽省土地利用变化的地形梯度效应分析.长江流域资源与环境,2016,25(2):239-248.
[26]吴彦潮,赵翠薇,韩冰倩.山地流域土地利用时空演变的地形梯度特征——以乌江北源为例.水土保持研究,2017,24(1):161-166.
[27]谢高地,张彩霞,张昌顺,肖玉,鲁春霞.中国生态系统服务的价值.资源科学,2015,37(9):1740-1746.
[28]赣州市统计局,2010年赣州市统计年鉴.北京:中国统计出版社,2011.
[29]陈爱莲,朱博勤,陈利顶,吴艳华,孙然好.双台河口湿地景观及生态干扰度的动态变化.应用生态学报,2010,21(5):1120-1128.
[30]庄大方,刘纪远.中国土地利用程度的区域分异模型研究.自然资源学报,1997,12(2):105-111.
[31]陈鹏,傅世锋,文超祥,吴海燕,宋志晓. 1989~2010年间厦门湾滨海湿地人为干扰影响评价及景观响应.应用海洋学学报,2014,33(2):167-174.
[32]孙震.艾比湖湿地边缘带人为干扰与生态服务价值关系研究[D].乌鲁木齐:新疆师范大学,2015.
[33]赵志刚,余德,韩成云,王凯荣.鄱阳湖生态经济区生态系统服务价值预测与驱动力.生态学报,2017,37(24):8411-8421.
[34]刘海,殷杰,林苗,陈晓玲.基于GIS的鄱阳湖流域生态系统服务价值结构变化研究.生态学报,2017,37(8):2575-2587.
[35]陈美球,赵宝苹,罗志军,黄宏胜,魏晓华,吕添贵,许莉.基于RS与GIS的赣江上游流域生态系统服务价值变化.生态学报,2013,33(9):2761-2767.
[36]杨丽.不同土地利用情景下赣南森林生态系统服务价值的时空动态评估[D].南昌:南昌大学,2017.
[2]张海波,张明阳,王克林,秦建新,符静.南方丘陵山地带水源涵养功能变化特征.农业现代化研究,2014,35(3):345-348.
[3]王航,秦奋,朱筠,张传才.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.
[4] Costanza R,D'Arge R,De Groot R,Farber S,Grasso M,Hannon B,Limburg K,Naeem S,O'Neill R V,Paruelo J,Raskin R G,Sutton P,Van Den Belt M. The value of the world's ecosystem services and natural capital. Nature,1997,387(15):253-260.
[5]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.应用生态学报,1999,10(5):635-640.
[6]陈蝶,卫伟,陈利顶,于洋.梯田生态系统服务与管理研究进展.山地学报,2016,34(3):374-384.
[7] Ninan K N,Kontoleon A. Valuing forest ecosystem services and disservices-Case study of a protected area in India. Ecosystem Services,2016,20:1-14.
[8] Soy-Massoni E,Langemeyer J,Varga D,Sáez M,PintóJ. The importance of ecosystem services in coastal agricultural landscapes:case study from the Costa Brava,Catalonia. Ecosystem Services,2016,17:43-52.
[9] Yao J,He X Y,Chen W,Ye Y,Guo R C,Yu L Z. A local-scale spatial analysis of ecosystem services and ecosystem service bundles in the upper Hun River catchment,China. Ecosystem Services,2016,22:104-110.
[10] Kibria A S M G,Behie A,Costanza R,Groves C,Farrell T. The value of ecosystem services obtained from the protected forest of Cambodia:The case of Veun Sai-Siem pang national park. Ecosystem Services,2017,26:27-36.
[11] Li T H,Li W K,Qian Z H. Variations in ecosystem service value in response to land use changes in Shenzhen. Ecological Economics,2010,69(7):1427-1435.
[12] Brentrup F,Küsters J,Lammel J,Kuhlmann H. Life cycle impact assessment of land use based on the hemeroby concept. The International Journal of Life Cycle Assessment,2002,7(6):339-348.
[13] Fehrenbach H,Grahl B,Giegrich J,Busch M. Hemeroby as an impact category indicator for the integration of land use into life cycle(impact)assessment. The International Journal of Life Cycle Assessment,2015,20(11):1511-1527.
[14]刘晓娜,张微微,李红.基于LUCC的密云水库上游流域人为干扰动态变化.生态与农村环境学报,2016,32(6):951-957.
[15]冯志贤,张继贤,侯伟,翟亮.基于地表覆盖分类的生态环境人为干扰度分析——以北京市为例.生态学杂志,2017,36(2):508-516.
[16]郑文武,田亚平,邹君,邓运员,刘晓燕,邓美容.南方红壤丘陵区人类活动强度的空间模拟与特征分析——以衡阳盆地为例.地球信息科学学报,2010,12(5):628-633.
[17]刘吉平,董春月,盛连喜,刘雁. 1955~2010年小三江平原沼泽湿地景观格局变化及其对人为干扰的响应.地理科学,2016,36(6):879-887.
[18]孙永光,赵冬至,吴涛,卫宝泉,高树刚,李媛,曹芳芳.河口湿地人为干扰度时空动态及景观响应——以大洋河口为例.生态学报,2012,32(12):3645-3655.
[19]张月,张飞,王娟,任岩,Ghulam A,Kung H T,陈芸.近40年艾比湖湿地自然保护区生态干扰度时空动态及景观格局变化.生态学报,2017,37(21):7082-7097.
[20]肖翠,解雪峰,吴涛,蒋国俊,边华菁,徐伟.浙江西门岛湿地景观格局与人为干扰度动态变化.应用生态学报,2014,25(11):3255-3262.
[21]刘富强,吴涛,蒋国俊,Meng X L,童丽颖,张勇,索安宁,朱丽东.海岸线与海岸景观格局对人为干扰度的动态响应——以营口市南部海岸为例.生态学报,2017,37(22):7427-7437.
[22]牛志君,赵建利,王晓晴,封乾,郝丽娜,哈凯,王树涛.基于地形梯度的冀西北山地丘陵区土地利用格局变化分析——以河北省怀来县为例.水土保持研究,2017,24(4):95-102.
[23]赵艳霞,武爱彬,刘欣,秦彦杰.浅山丘陵区土地利用地形梯度特征与生态服务价值响应.水土保持研究,2014,21(3):141-145.
[24]许宁,张广录,刘紫玉.基于地形梯度的河北省太行山区土地利用时空变异研究.中国生态农业学报,2013,21(10):1284-1292.
[25]吴见,王帅帅,谭靖.基于安徽省土地利用变化的地形梯度效应分析.长江流域资源与环境,2016,25(2):239-248.
[26]吴彦潮,赵翠薇,韩冰倩.山地流域土地利用时空演变的地形梯度特征——以乌江北源为例.水土保持研究,2017,24(1):161-166.
[27]谢高地,张彩霞,张昌顺,肖玉,鲁春霞.中国生态系统服务的价值.资源科学,2015,37(9):1740-1746.
[28]赣州市统计局,2010年赣州市统计年鉴.北京:中国统计出版社,2011.
[29]陈爱莲,朱博勤,陈利顶,吴艳华,孙然好.双台河口湿地景观及生态干扰度的动态变化.应用生态学报,2010,21(5):1120-1128.
[30]庄大方,刘纪远.中国土地利用程度的区域分异模型研究.自然资源学报,1997,12(2):105-111.
[31]陈鹏,傅世锋,文超祥,吴海燕,宋志晓. 1989~2010年间厦门湾滨海湿地人为干扰影响评价及景观响应.应用海洋学学报,2014,33(2):167-174.
[32]孙震.艾比湖湿地边缘带人为干扰与生态服务价值关系研究[D].乌鲁木齐:新疆师范大学,2015.
[33]赵志刚,余德,韩成云,王凯荣.鄱阳湖生态经济区生态系统服务价值预测与驱动力.生态学报,2017,37(24):8411-8421.
[34]刘海,殷杰,林苗,陈晓玲.基于GIS的鄱阳湖流域生态系统服务价值结构变化研究.生态学报,2017,37(8):2575-2587.
[35]陈美球,赵宝苹,罗志军,黄宏胜,魏晓华,吕添贵,许莉.基于RS与GIS的赣江上游流域生态系统服务价值变化.生态学报,2013,33(9):2761-2767.
[36]杨丽.不同土地利用情景下赣南森林生态系统服务价值的时空动态评估[D].南昌:南昌大学,2017.
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