1. 贵州师范大学 喀斯特研究院/地理与环境科学学院,贵州,贵阳,550001
2. 贵州省喀斯特山地生态 环境国家重点实验室培育基地,贵州,贵阳,550001
3. 国家喀斯特石漠化防治工程技术研究中心,贵州,贵阳,550001
纸质出版:2020
移动端阅览
张霞, 周忠发, 朱昌丽, 等. 喀斯特山区生态脆弱性与经济贫困的耦合关系——以贵州省荔波县为例[J]. 水土保持通报, 2020,40(5):227-233.
Zhang Xia, Zhou Zhongfa, Zhu Changli, et al. Coupling Relation Between Ecological Vulnerability and Economic Poverty in Karst Mountain Area - A Case Study at Libo County of Guizhou Province[J]. Bulletin of Soiland Water Conservation, 2020, 40(5): 227-233.
张霞, 周忠发, 朱昌丽, 等. 喀斯特山区生态脆弱性与经济贫困的耦合关系——以贵州省荔波县为例[J]. 水土保持通报, 2020,40(5):227-233. DOI: 10.13961/j.cnki.stbctb.2020.05.033.
Zhang Xia, Zhou Zhongfa, Zhu Changli, et al. Coupling Relation Between Ecological Vulnerability and Economic Poverty in Karst Mountain Area - A Case Study at Libo County of Guizhou Province[J]. Bulletin of Soiland Water Conservation, 2020, 40(5): 227-233. DOI: 10.13961/j.cnki.stbctb.2020.05.033.
[目的] 对贵州省荔波县的生态脆弱性与经济贫困的耦合关系进行研究,为该区域的生态环境建设和经济发展提供科学参考。[方法] 以荔波县为例,以行政村为评价单元,采用敏感性—恢复力—压力度(SRP)的概念模型构建生态脆弱性评价指标体系,并从经济和社会两个维度,构建村级尺度上的经济贫困的评价指标体系,建立荔波县生态脆弱性和经济贫困耦合模型,由此分析生态脆弱性和经济贫困耦合协调度及其空间分布。[结果] ①荔波县的轻度脆弱和中度脆弱行政村比例较大,中部和南部的生态脆弱性相对较高,东北部的生态脆弱性相对较低。②荔波县中度贫困所占的行政村比例最大,较重度和重度贫困主要分布在东北部和南部。③将荔波县的生态脆弱性与经济贫困的耦合关系分为6种类型,协调同步型的行政村比例仅占10.6%,协调环境滞后型行政村比例最多,主要分布在西部。[结论] 荔波县的生态脆弱性与经济贫困的耦合协调度整体较低,未来发展中,要协调好环境的保护与经济的发展两者之间的关系,促进区域的可持续发展。
[Objective] The coupling relationship between ecological vulnerability and economic poverty in Libo County
Guizhou Province
was studied to provide a scientific reference for the ecological environment and economic development of the region.[Methods] Libo County was studied as an example
with single administrative villages taken as the evaluation unit. The sensitivity-resilience-stress conceptual model was selected to build an evaluation index system of ecological vulnerability and construct an economic poverty evaluation index system of the village from social dimensions and economic dimensions. The two evaluation index systems were then combined to establish a coupling model of ecological vulnerability and economic poverty in Libo County
which was analyzed for the degree of coordination and the spatial distribution of the coupling of ecological vulnerability and economic poverty.[Results] ① Libo County had a relatively large proportion of lightly and moderately vulnerable administrative villages
with relatively higher ecological vulnerability in the central and southern regions and relatively lower vulnerability in the northeast. ② In Libo County
the largest proportion of administrative villages had moderate poverty
with comparatively severe poverty mainly distributed in the northeast and the south. ③ The coordination degree of the coupling of ecological vulnerability and economic poverty in Libo County was divided into six types. The proportion of coordinated and synchronous administrative villages accounted for only 10.6% of the total. The largest proportion belonged to administrative villages with a lagging environment
which were mainly in the west.[Conclusion] The coupling degree of ecological vulnerability and economic poverty in Libo County was generally low. In future developments
the relation between environmental protection and economic development must be coordinated to promote sustainable regional development.
中共中央,国务院.中国农村扶贫开发纲要(2011-2020年)[EB/OL](2011-12-20)[2020-05-12].http://www.gov.cn/jrzg/2011-12101/content_2008462.htm.
张笑楠,王克林,张伟,等.桂西北喀斯特区域生态环境脆弱性[J].生态学报,2009,29(2):749-757.
王贝贝,丁明军,管琪卉,等.基于格网的南昌市生态环境脆弱性评价[J].生态学报,2019,39(15):5460-5472.
刘正佳,于兴修,李蕾,等.基于SRP概念模型的沂蒙山区生态环境脆弱性评价[J].应用生态学报,2011,22(8):2084-2090.
曾永明.基于GIS和BP神经网络的区域贫困与扶贫现状空间模拟分析[D].四川成都:四川师范大学, 2011.
刘小鹏,苏胜亮,王亚娟,等.集中连片特殊困难地区村域空间贫困测度指标体系研究[J].地理科学,2014,34(4):447-453.
李响,齐文平,谭畅,等.生态环境脆弱性与多维贫困的耦合关系:基于广西河池市1586个贫困村的实证分析[J].应用生态学报,2019,30(12):4303-4312.
佟玉权,龙花楼.脆弱生态环境耦合下的贫困地区可持续发展研究[J].中国人口·资源与环境,2003,13(2):47-51.
祁新华,叶士琳,程煜,等.生态脆弱区贫困与生态环境的博弈分析[J].生态学报,2013,33(19):6411-6417.
刘耀彬,李仁东,宋学锋.中国区域城市化与生态环境耦合的关联分析[J].地理学报,2005,60(2):237-247.
刘晶晶.集中连片特困区生态环境脆弱性评价研究[D].湖北武汉:华中师范大学, 2019.
Oliveira C, Antunes C H. A multi-objective multi-sectoral economy-energy-environment model:Application to Portugal[J]. Energy, 2011, 36(5):2856-2866.
Barbier E B, Hochard J P. The impacts of climate change on the poor in disadvantaged regions[J]. Review of Environmental Economics and Policy, 2018, 12(1):26-47.
曹诗颂,王艳慧,段福洲,等.中国贫困地区生态环境脆弱性与经济贫困的耦合关系:基于连片特困区714个贫困县的实证分析[J].应用生态学报,2016,27(8):2614-2622.
牛亚琼,王生林.甘肃省脆弱生态环境与贫困的耦合关系[J].生态学报,2017,37(19):6431-6439.
武鹏,李同昇,李卫民.县域农村贫困化空间分异及其影响因素:以陕西山阳县为例[J].地理研究,2018,37(3):593-606.
李静怡,王艳慧.吕梁地区生态环境质量与经济贫困的空间耦合特征[J].应用生态学报,2014,25(6):1715-1724.
陈全,周忠发,闫利会.国家重点生态功能区生态文明建设评价:以贵州省荔波县为例[J].中国农业资源与区划,2016,37(9):1-6.
李永化,范强,王雪,等.基于SRP模型的自然灾害多发区生态脆弱性时空分异研究:以辽宁省朝阳县为例[J].地理科学,2015,35(11):1452-1459.
齐姗姗,巩杰,钱彩云,等.基于SRP模型的甘肃省白龙江流域生态环境脆弱性评价[J].水土保持通报,2017,37(1):224-228.
刘康,欧阳志云,王效科,等.甘肃省生态环境敏感性评价及其空间分布[J].生态学报,2003,23(12):2711-2718.
王昭,刘建红,李同昇,等.秦巴特困区生态脆弱性与经济贫困的耦合关系:以陕西省山阳县为例[J].生态学报,2019,39(11):3908-3917.
林金煌,胡国建,祁新华,等.闽三角城市群生态环境脆弱性及其驱动力[J].生态学报,2018,38(12):4155-4166.
谢人栋.喀斯特山区生态环境脆弱性评价[D].贵州贵阳:贵州师范大学, 2018.
卢亚灵,颜磊,许学工.环渤海地区生态脆弱性评价及其空间自相关分析[J].资源科学,2010,32(2):303-308.
庞莎,刘康,冀文慧.延安市生态脆弱性评价研究[J].干旱区资源与环境,2011,25(5):63-66.
陈烨烽,王艳慧,王小林.中国贫困村测度与空间分布特征分析[J].地理研究,2016,35(12):2298-2308.
陈烨烽,王艳慧,赵文吉,等.中国贫困村致贫因素分析及贫困类型划分[J].地理学报,2017,72(10):1827-1844.
王艳慧,钱乐毅,段福洲,等.村级贫困人口多维测算及其贫困特征分析:以河南省内乡县为例[J].人口与经济,2014(5):114-120.
罗庆,樊新生,高更和,等.秦巴山区贫困村的空间分布特征及其影响因素[J].经济地理,2016,36(4):126-132.
朱昌丽,周忠发,谭玮颐.喀斯特山区村域多维贫困空间异质性研究:以盘州市为例[J].山地学报,2019,37(3):438-450.
杨志恒,黄秋昊,李满春,等.产业扶贫视角下村域空间贫困陷阱识别与策略分析:以湘西保靖县为例[J].地理科学,2018,38(6):885-894.
罗刚,廖和平,李涛,等.地理资本视角下村级多维贫困测度及贫困类型划分:基于重庆市1919个市级贫困村调研数据[J].中国农业资源与区划,2018,39(8):244-254.
曹诗颂,赵文吉,段福洲.秦巴特困连片区生态资产与经济贫困的耦合关系[J].地理研究,2015,34(7):1295-1309.
0
浏览量
799
下载量
5
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621