山岳型风光旅游地生态敏感性研究——以武陵源区为例
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摘要
以武陵源区为例,从自然和人文2个方面,选取高程、坡度、与水域的最小间距、与景源点的最小间距、与道路交通的最小间距、土地利用类型和地质敏感区等7个评价因子,构建生态敏感性评价指标体系,借助层次分析法确定其指标权重,采用综合评价法在Arc GIS平台的支撑下进行生态敏感性评价.结果表明:武陵源区生态敏感性呈现中部高而周边低的空间分布特征,高、中、低度敏感区和非敏感区分别占总面积的13. 90%、29. 47%、35. 24%和21. 39%,其中高度敏感区主要分布在张家界森林公园、黄龙洞以及3大保护区境内,共55. 32 km2.此类区域生态脆弱,应加大生态保护的强度,并提出不同生态敏感性的旅游用地保护策略.
Taking Wulingyuan District as an example,from the two aspects of nature and humanity,select the elevation,slope,minimum distance from the water,minimum distance from the source,minimum distance to road traffic,land use type and geological sensitive area. The evaluation factor is used to construct the ecological sensitivity evaluation index system. The analytic hierarchy process is used to determine the index weight. The comprehensive evaluation method is used to evaluate the ecological sensitivity under the support of ArcGIS platform. The results show that the ecological sensitivity of Wulingyuan District is high in the middle and low in the periphery. The spatial distribution characteristics of high,medium and low sensitive areas and non-sensitive areas account for 13. 90%,29. 47%,35. 24% and 21. 39% of the total area,respectively. The highly sensitive areas are mainly distributed in Zhangjiajie Forest Park,Huanglong Cave and the three major areas. Within the protected area,the total area is 55. 32 km2. Such areas are ecologically fragile,and the intensity of ecological protection should be increased, and different ecologically sensitive tourism land protection strategies should be proposed.
Taking Wulingyuan District as an example,from the two aspects of nature and humanity,select the elevation,slope,minimum distance from the water,minimum distance from the source,minimum distance to road traffic,land use type and geological sensitive area. The evaluation factor is used to construct the ecological sensitivity evaluation index system. The analytic hierarchy process is used to determine the index weight. The comprehensive evaluation method is used to evaluate the ecological sensitivity under the support of ArcGIS platform. The results show that the ecological sensitivity of Wulingyuan District is high in the middle and low in the periphery. The spatial distribution characteristics of high,medium and low sensitive areas and non-sensitive areas account for 13. 90%,29. 47%,35. 24% and 21. 39% of the total area,respectively. The highly sensitive areas are mainly distributed in Zhangjiajie Forest Park,Huanglong Cave and the three major areas. Within the protected area,the total area is 55. 32 km2. Such areas are ecologically fragile,and the intensity of ecological protection should be increased, and different ecologically sensitive tourism land protection strategies should be proposed.
引文
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[2] Hoover D L,Wilcox K R,Young K E. Experimental droughts with rainout shelters:a methodological review[J].Ecosphere,2018,9(1):e02088.
[3]Cairns J,Mccormick P V,Niederlehner B R. A proposed framework for developing indicators of ecosystem health[J].Hydrobiologia,1993,263(1):1-44.
[4]罗坤,汤小华,杨明.基于GIS的龙岩市土地利用生态敏感性评价[J].云南地理环境研究,2008,20(3):6-9.
[5]Kumar K S K,Parikh J. Indian agriculture and climate sensitivity[J]. Global Environmental Change,2001,11(2):147-154.
[6]杜悦悦,胡熠娜,杨旸,等.基于生态重要性和敏感性的西南山地生态安全格局构建———以云南省大理白族自治州为例[J].生态学报,2017,37(24):8241-8253.
[7]李广娣,冯长春,曹敏政.基于土地生态敏感性评价的城市空间增长策略研究———以铜陵市为例[J].城市发展研究,2013,20(11):69-74.
[8]甘琳,陈颖彪,吴志峰,等.近20年粤港澳大湾区生态敏感性变化[J].生态学杂志,2018,37(8):2453-2462.
[9]屈赛,林爱文,黎斌,等.基于生态敏感性的庐山区生态旅游用地策略[J].生态科学,2018,37(1):164-170.
[10]陈学华,周红艺,宋孟强,等.基于GIS的四川省生态旅游分区评价[J].山地学报,2004,22(5):637-640.
[11]Niu Z,Du L,Li J,et al. Ecological risk assessment of microcystin-LR in the upstream section of the Haihe River based on a species sensitivity distribution model[J]. Chemosphere,2018,193:403-411.
[12]吴金华,李纪伟,朱鸿儒.基于Arc GIS区统计的延安市土地生态敏感性评价[J].自然资源学报,2011(7):1180-1188.
[13]刘超琼,彭开丽,陈红蕾.安徽省土地利用变化下的生态敏感性时空规律[J].长江流域资源与环境,2015,24(9):1584-1590.
[14]韩贵锋,赵珂,袁兴中,等.基于空间分析的山地生态敏感性评价———以四川省万源市为例[J].山地学报,2008,26(5):531-537.
[15]张家界市统计局.张家界市国民经济和社会发展统计公报(2017)[EB/OL].(2018-04-25). http://tjj. zjj. gov. cn//c1995/index. html
[16]曾永年,冯兆东,曹广超.基于GIS的黄河上游龙羊峡库区生态环境遥感监测研究[J].山地学报,2003,21(2):140-148.
[17]陈学华,周建中.基于GIS和RS的四川省彭州市土壤侵蚀敏感性评价[J].山地学报,2011,29(6):707-712.
[18]熊善高,秦昌波,于雷,等.基于生态系统服务功能和生态敏感性的生态空间划定研究———以南宁市为例[J].生态学报,2018,38(22):7899-7911.
[19]尹海伟,徐建刚,陈昌勇,等.基于GIS的吴江东部地区生态敏感性分析[J].地理科学,2006,26(1):66-71.
[20]庞振凌,常红军,李玉英,等.层次分析法对南水北调中线水源区的水质评价[J].生态学报,2008,28(4):1810-1819.
[21]高蓓,卫海燕,郭彦龙,等.基于层次分析法和GIS的秦岭地区魔芋潜在分布研究[J].生态学报,2015,35(21):7108-7116.
[22]孙才志,杨磊,胡冬玲.基于GIS的下辽河平原地下水生态敏感性评价[J].生态学报,2011,31(24):7428-7440.
[23]侯志华,马义娟,贾宇平.太原市域生态敏感性综合评价[J].生态科学,2018,37(4):204-210.