|Table of Contents|

Landscape Ecological Risk Assessment in Guangling District ofYangzhou City Based on Land Use Change(PDF)

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2019年01期
Page:
139-
Research Field:
·地理学·
Publishing date:

Info

Title:
Landscape Ecological Risk Assessment in Guangling District ofYangzhou City Based on Land Use Change
Author(s):
He Shasha12Li Xin13He Chunlong4Fang Bin13
(1.School of Geography,Nanjing Normal University,Nanjing 210023,China)(2.College of Environment and Planning,Henan University,Kaifeng 475004,China)(3.New-Type Urbanization and Rural Land Issues Research Center,Nanjing Normal University,Nanjing 210023,Ch
Keywords:
land uselandscape patternecological riskGuangling District
PACS:
X826
DOI:
10.3969/j.issn.1001-4616.2019.01.021
Abstract:
Based on land use data,combined with ArcGIS and Fragstats4.2 to calculate various landscape indices,the spatial pattern and process characteristics of landscape ecological risk in Guangling District from 2010 to 2015 are analyzed,which lay a solid foundation for the formulation of ecological risk management and control measures.The results show that:(1)From 2010 to 2015,the landscape pattern of Guangling District has changed significantly. The area of grassland,woodland,cultivated land and water has decreased significantly,and the expansion of construction land is obvious. The expansion area mainly comes from the transformation of cultivated land and water area. From 2010 to 2015,landscape fragmentation in Guangling District showed a decreasing trend as a whole. During this period,the degree of separation of the study area also decreased significantly,and the fractal dimension changed little as a whole. The fractal dimension of cultivated land was the highest and that of other land was the smallest.(2)Landscape ecological risk level tends to decrease gradually,the area of moderate risk area has decreased significantly,while the area of mild risk area has increased,and the area of high risk area has decreased significantly.(3)From the spatial distribution analysis,the overall risk type distribution in Guangling District tends to increase from the west to the east. The types of higher risk areas are mainly distributed in rural areas such as Shiqiao Town,Shatou Town and Touqiao Town. The main landscape types in this area are cultivated land,which is easily disturbed by human activities. The types of mild risk areas are mainly distributed in the rural areas around Tangwang Township and Hangji Town in the northwest. The types of slight risk levels are mostly in Guangling District,and the main landscape type is construction land. It has strong anti-interference ability and lowest risk value.Based on the ecological risk assessment of different land use changes,it is of great significance to establish the ecological risk early warning mechanism,reduce the ecological risk and maintain the regional ecosystem service function.

References:

[1] 何莎莎,叶露培,朱文博,等. 太行山淇河流域2000—2015年土壤侵蚀和水源供给变化研究[J]. 地理研究,2018,37(9):1775-1788.
[2]HUNSAKER C T,GRAHAM R L,SUTERII G W. Assessing ecological risk on a regional scale[J]. Environmental management,1990,14(3):325-332.
[3]CHEN S Q,CHEN B,FATH B D. Ecological risk assessment on the system scale:a review of state-of-the-artmodels and future perspectives[J]. Ecological modeling,2013,250(1573):25-33.
[4]赵越,罗志军,曹丽萍,等. 基于土地利用变化的鄱阳湖流域生态风险评价[J]. 江西农业大学学报,2018,40(3):635-644.
[5]徐建昭,郝仕龙,王玉英. 黄土丘陵区的土地利用变化及其生态风险[J]. 水土保持通报,2017,37(5):157-162.
[6]胡金龙,周志翔,滕明君,等. 基于土地利用变化的典型喀斯特流域生态风险评估:以漓江流域为例[J]. 应用生态学报,2017,28(6):2003-2012.
[7]KAPUSTKA L A,GALBRAITH H,LUXON B M,et al. Using landscape ecology to focus ecological risk assessment and guide risk management decision-making[J]. Toxicology & industrial health,2001,17(5/10):236-246.
[8]李加林,徐谅慧,杨磊,等. 浙江省海岸带景观生态风险格局演变研究[J]. 水土保持学报,2016,30(1):293-299,314.
[9]王伟,陆健健. 生态系统服务功能分类与价值评估探讨[J]. 生态学杂志,2005,24(11):1314-1316.
[10]黄桂林,赵峰侠,李仁强,等. 生态系统服务功能评估研究现状、挑战和趋势[J]. 林业资源管理,2012(4):17-23.
[11]温晓金,杨新军,王子侨. 多适应目标下的山地城市社会—生态系统脆弱性评价[J]. 地理研究,2016,35(2):299-312.
[12]朱艳景,张彦,高思,等. 生态风险评价方法学研究进展与评价模型选择[J]. 城市环境与城市生态,2015,28(1):17-21.
[13]崔佳凤. 湿地区域生态风险评价理论与方法探究[J]. 经济研究导刊,2015(9):224-225.
[14]常青,邱瑶,谢苗苗,等. 基于土地破坏的矿区生态风险评价:理论与方法[J]. 生态学报,2012,32(16):5164-5174.
[15]陈克亮,时亚楼,林志兰,等. 基于突变理论的近岸海域生态风险综合评价方法:以罗源湾为例[J]. 应用生态学报,2012,23(1):213-221.
[16]张思锋,张立,张一恒. 基于生态梯度风险评价方法的榆林煤炭开采区生态风险评价[J]. 资源科学,2011,33(10):1914-1923.
[17]夏南凯,乔玮,刘晟. 基于土地利用视角的区域生态风险指数评价方法分析[J]. 城市规划学刊,2011(1):53-57.
[18]张思锋,刘晗梦. 生态风险评价方法述评[J]. 生态学报,2010,30(10):2735-2744.
[19]周汝佳,张永战,何华春. 基于土地利用变化的盐城海岸带生态风险评价[J]. 地理研究,2016,35(6):1017-1028.
[20]刘晓,苏维词,王铮,等. 基于RRM模型的三峡库区重庆开县消落区土地利用生态风险评价[J]. 环境科学学报,2012,32(1):248-256.
[21]周启刚,张晓媛,王兆林. 基于正态云模型的三峡库区土地利用生态风险评价[J]. 农业工程学报,2014,30(23):289-297.
[22]虞燕娜,朱江,吴绍华,等. 多风险源驱动下的土地生态风险评价:以江苏省射阳县为例[J]. 自然资源学报,2016,31(8):1264-1274.
[23]赵岩洁,李阳兵,邵景安. 基于土地利用变化的三峡库区小流域生态风险评价:以草堂溪为例[J]. 自然资源学报,2013,28(6):944-956.
[24]田鹏,史小丽,李加林,等. 杭州市土地利用变化及生态风险评价[J]. 水土保持通报,2018,38(4):274-281.
[25]肖杨,毛显强. 区域景观生态风险空间分析[J]. 中国环境科学,2006(5):623-626.
[26]张皓玮,李欣,殷如梦,等. 旅游城镇化地区土地利用景观格局指数的粒度效应:以扬州市广陵区为例[J]. 南京师大学报(自然科学版),2018,41(3):122-130.
[27]童小容,杨庆媛,毕国华. 重庆市2000—2015年土地利用变化时空特征分析[J]. 长江流域资源与环境,2018(11):2481-2495.
[28]刘永超,李加林,袁麒翔,等. 象山港流域景观生态风险格局分析[J]. 海洋通报,2016,35(1):21-29.
[29]李谢辉,王磊,李景宜. 基于GIS的渭河下游河流沿线区域生态风险评价[J]. 生态学报,2009,29(10):5523-5534.
[30]王亮. 盐城海岸带土地利用及其生态安全评价与优化研究[D]. 徐州:中国矿业大学,2016.
[31]张荞,王萍,陈慧,等. 长江上游地区土地利用格局时空演变:以四川省宜宾市为例[J]. 水土保持通报,2018,38(2):2,210-216.
[32]张学斌,石培基,罗君,等. 基于景观格局的干旱内陆河流域生态风险分析:以石羊河流域为例[J]. 自然资源学报,2014,29(3):410-419.
[33]柯丽娜,庞琳,王权明,等. 围填海景观格局演变及存量资源分析:以大连长兴岛附近海域为例[J]. 生态学报,2018,38(15):5498-5508.
[34]简卿,张立强,张蓬涛,等. 基于显隐性分析的青龙满族自治县景观生态风险评价空间分异研究[J]. 水土保持研究,2018,25(6):228-235.
[35]董玉红,刘世梁,安南南,等. 基于景观指数和空间自相关的吉林大安市景观格局动态研究[J]. 自然资源学报,2015,30(11):1860-1871.
[36]赵彩霞. 甘肃白龙江流域生态风险评价[D]. 兰州:兰州大学,2013.
[37]吕乐婷,张杰,孙才志,等. 基于土地利用变化的细河流域景观生态风险评估[J]. 生态学报,2018,38(16):5952-5960.
[38]李潇然,李阳兵,韩芳芳. 基于土地利用的三峡库区生态屏障带生态风险评价[J]. 水土保持通报,2015,35(4):2,188-194.
[39]王娟,崔保山,姚华荣,等. 纵向岭谷区澜沧江流域景观生态安全时空分异特征[J]. 生态学报,2008,28(4):1681-1690.
[40]石浩朋,于开芹,冯永军. 基于景观结构的城乡结合部生态风险分析:以泰安市岱岳区为例[J]. 应用生态学报,2013,24(3):705-712.
[41]GAO B,XIAOYU L I,ZHIGANG L I,et al. Assessment of ecological risk of coastal economic developing zone in Jinzhou Bay based on landscape pattern[J]. Acta ecologica sinica,2011,31(12):3441-3450.
[42]李雅婷,赵牡丹,张帅兵,等. 基于景观结构的眉县土地利用生态风险空间特征[J]. 水土保持研究,2018,25(5):220-225,233.
[43]任红玉,周旭,张迪,等. 快速城市化过程中喀斯特山区城镇生态风险变化:以贵阳市花溪区为例[J]. 贵州师范大学学报(自然科学版),2018,36(5):16-23.
[44]刘琪. 基于土地利用变化的延河流域景观生态风险评价[D]. 西安:西北大学,2016.

Memo

Memo:
-
Last Update: 2019-03-30