
浏览全部资源
扫码关注微信
1. 北部湾大学 资源与环境学院,广西,钦州,535011
2. 钦州市国土资源利用与监测重点实验室,广西,钦州,535011
3. 广西北部湾海洋灾害研究重点实验室,广西,钦州,535011
4. 北部湾大学 经济管理学院,广西,钦州,535011
5. 南宁师范大学 北部湾环境演变与资源利用教育部重点实验室,广西,南宁,530001
Published:2021
移动端阅览
Zhang Zhongqiu, Lao Yanling, Wang Lili, et al. Evaluation on Coupling and Coordination Status of Mountain, Water, Forest, Field, and Lake Life Community in Guangxi Zhuang Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2021, 41(3): 320-332.
Zhang Zhongqiu, Lao Yanling, Wang Lili, et al. Evaluation on Coupling and Coordination Status of Mountain, Water, Forest, Field, and Lake Life Community in Guangxi Zhuang Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2021, 41(3): 320-332. DOI: 10.13961/j.cnki.stbctb.2021.03.042.
[目的] 分析区域山水林田湖生命共同体各要素的耦合协调状态,为更精准开展国土空间规划、生态修复和自然资源要素综合监测提供科学依据。[方法] 以综合评价指数、协调度指数、耦合度指数和关联度指数为基础构建评价分析框架。基于PSR模型,从“山、水、林、田、湖”5个方面构建评价指标体系,运用综合评价模型、耦合协调模型和灰色关联模型探究广西壮族自治区2005—2017年山水林田湖生命共同体的耦合协调时空分异特征及其驱动因素。[结果] ①山水林田湖生命共同体的综合评价指数由2005年的0.918上升至2017年的0.931,具体表现为:水系统 > 田系统 > 林系统 > 湖系统 > 山系统。②山水林田湖生命共同体的耦合协调度由2005年的0.909下降至2017年的0.861,虽然为良好耦合协调状态,但有下降态势。两要素间耦合协调度较高的为“水—田”,3要素间较高的为“水—林—田”,4要素间较高的为“水—林—田—湖”。③影响山水林田湖生命共同体耦合协调发展的主要驱动因素是水要素,灰色关联度为0.723,具体指标因子为水土流失治理。[结论] 山水林田湖生命共同体是一个开放性的“山水林田湖+”的概念范畴,可依据各要素的典型性进行耦合叠加重组,其中水要素是山水林田湖生命共同体各要素耦合关联的核心,水土流失治理是关键因素。广西区内山水林田湖生命共同体综合水平虽然有所改善,但耦合协调情况不容乐观,应以水土流失治理为出发点,串联山水林田湖各要素,进行统筹规划与生态整治,搭建自然资源要素综合监测与质量管理体系,提高耦合协调状态,实现高质量的可持续发展。
[Objective] The coupling and coordination status of various elements of the life community of regional mountains
water
forests
fields
and lakes were analyzed in order to carry out more accurate land space planning
ecological restoration
and comprehensive monitoring of natural resources. [Methods] An evaluation framework was constructed based on the indexes of comprehensive evaluation
coordination degree
coupling degree
and correlation index. Based on the PSR model
the evaluation index system was constructed from the five aspects of “mountain
water
forest
field
and lake”. The comprehensive evaluation model
the coupled coordination model
and the grey correlation model were used to explore the spatio-temporal differentiation characteristics and driving factors of the coupled coordination of the life communities in mountains
water
forests
fields
and lakes in Guangxi Zhuang Autonomous Region from 2005 to 2017. [Results] ① The comprehensive evaluation index of the life community of mountains
water
fields
and lakes rose from 0.918 in 2005 to 0.931 in 2017. Specific performance followed the order of water system > field system > forest system > lake system > mountain system. ② The coupling coordination degree of mountain
water
forest
field
and lake life communities decreased from 0.909 in 2005 to 0.861 in 2017. Although the coupling coordination status was considered good
it had experienced a downward trend. The highest combination coordination between two elements occurred for “water-field”. The highest combination coordination among three elements occurred for “water-forest-field”. The highest combination coordination among four elements occurred for “water-forest-field-lake”. ③ The main driving factor affecting the coupled and coordinated development of the life community in mountains
water
fields
and lakes was water
and the gray correlation degree was 0.723. The specific index factor was soil erosion control. [Conclusion] The life community of mountains
water
forest
field
and lake is an open conceptual category of “mountains
water
forest
field
and lake+”. According to the typical nature of each element
a coupling superposition recombination can be carried out
among which the water element is central to the coupling correlation of each element of the life community of mountains
water
forests
fields
and lakes
and soil erosion control is the key factor. Although the comprehensive level of the life community of mountains
water
forests
fields
and lakes in Guangxi has been improved
the coupling coordination is not likely to be good. Soil and water loss control should be taken as the starting point
and all elements of mountains
water
forests
fields
and lakes should be connected to carry out overall planning and ecological renovation. Integrated monitoring and a quality management system of natural resources needs to be developed in order to improve the state of coupling coordination and to realize sustainable
high quality development.
Sagoff M. Ethics, ecology, and the environment:Integrating science and law[J]. Tennessee Law Review, 1988,56:77-171.
Angelo M J. Harnessing the power of science in environmental law:Why we should, why we don't, and how we can[J]. Texas Law Review, 2007,86:1527.
Birat J P. The environment and materials, from the standpoints of ethics, social sciences, law and politics[J]. Matériaux & Techniques, 2019,107(1):102.
Golam Rasul, Bikash Sharma. The nexus approach to water-energy-food security:an option for adaptation to climate change[J]. Climate Policy, 2016,16(6):682-702.
Siegwald L, Jong C D. Anthropogenic impacts on water quality in a small, forested mountain catchment:A case study of the Seebächle, black forest, Southern Germany[J]. Sustainability, 2020,12(21):9022.
王志芳,高世昌,苗利梅,等.国土空间生态保护修复范式研究[J].中国土地科学,2020,34(3):1-8.
吴钢,赵萌,王辰星.山水林田湖草生态保护修复的理论支撑体系研究[J].生态学报,2019,39(23):8685-8691.
彭建,吕丹娜,张甜,等.山水林田湖草生态保护修复的系统性认知[J].生态学报,2019,39(23):8755-8762.
王波,王夏晖,张笑千."山水林田湖草生命共同体"的内涵、特征与实践路径:以承德市为例[J].环境保护,2018,46(7):60-63.
罗明,于恩逸,周妍,等.山水林田湖草生态保护修复试点工程布局及技术策略[J].生态学报,2019,39(23):8692-8701.
叶艳妹,林耀奔,刘书畅,等.山水林田湖草生态修复工程的社会-生态系统(SES)分析框架及应用:以浙江省钱塘江源头区域为例[J].生态学报,2019,39(23):8846-8856.
张翼,王波.石川河富平(城区段)山水林田湖草综合整治效益评价[J].西部大开发(土地开发工程研究),2019,4(7):19-24.
王夏晖,何军,饶胜,等.山水林田湖草生态保护修复思路与实践[J].环境保护,2018,46(3):17-20.
张海燕,樊江文,黄麟,等.中国自然资源综合区划理论研究与技术方案[J].资源科学,2020,42(10):1870-1882.
李红举,宇振荣,梁军,等.统一山水林田湖草生态保护修复标准体系研究[J].生态学报,2019,39(23):8771-8779.
吕思思,苏维词,赵卫权,等.山水林田湖生命共同体健康评价:以红枫湖区域为例[J].长江流域资源与环境,2019,28(8):1987-1997.
王晓峰,勒斯木初,张明明."两屏三带"生态系统格局变化及其影响因素[J].生态学杂志,2019,38(7):2138-2148.
Asokan V A, Yarime M, Onuki M. Bridging practices, institutions, and landscapes through a scale-based approach for research and practice:A case study of a business association in south india[J]. Ecological Economics, 2019,160:240-250.
许胜晴,胡德胜.基于生命共同体理念的自然资源法治建设:关联的视角[J].长江流域资源与环境,2020,29(12):2335-2344.
魏莉华,马琳.心怀法治梦想推进法治进程:自然资源法治建设与时俱进的发展历程[J].国土资源,2019(10).13-19.
成金华,尤喆."山水林田湖草是生命共同体"原则的科学内涵与实践路径[J].中国人口·资源与环境,2019,29(2):1-6.
李达净,张时煌,刘兵,等."山水林田湖草-人"生命共同体的内涵、问题与创新[J].中国农业资源与区划,2018,39(11):1-5,93.
张仕超,周仪琪,李英杰,等.基于DPSIRM模型的全域综合整治前后山水林田湖草村健康评价[J].重庆师范大学学报(自然科学版),2020,37(5):45-58.
曾春芬,周仪琪,段振东,等.山水林田湖草·城生命共同体健康轨迹评价:以三峡库区重庆段为例[J].重庆师范大学学报(自然科学版),2020,37(4):57-67.
杨吉.基于县域尺度的三峡库区(重庆段)山水林田湖生命共同体健康研究[D].重庆:重庆师范大学,2017.
陈晶,余振国,孙晓玲,等.基于山水林田湖草统筹视角的矿山生态损害及生态修复指标研究[J].环境保护,2020,48(12):58-63.
吴昱璟.山西省区域物流发展水平及对策研究[D].重庆:西南大学,2016.
张筱娟,徐维祥,刘程军.粤港澳"经济-土地-人口-社会"城镇化耦合协调时空分异及其影响机制研究[J].经济问题探索,2019,447(10):54-64.
廖重斌.环境与经济协调发展的定量评判及其分类体系:以珠江三角洲城市群为例[J].热带地理,1999,19(2):171-177.
张中秋,胡宝清.区域土地利用结构与能耗碳排放关联测度方法与应用:以南宁市为例[J].广东农业科学,2012,39(9):207-211.
张迅,吕华权.基于DEM的宁明县地形因子分析[J].测绘与空间地理信息,2014,37(12):157-158,162.
唐庆,羊秀娟,王娜娜.基于DEM的重庆市水土流失地形因子分析[J].安徽农学通报,2018,24(16):115-116,120.
周文龙,赵卫权,杨家芳,等.基于DEM的贵州沟壑特征及其空间分异规律研究[J].绿色科技,2015(10):16-20.
张贺,王绍强,王梁,等.自然资源要素综合观测指标体系探讨[J].资源科学,2020,42(10):1883-1899.
刘玖芬,高阳,冯欣,等.自然资源要素综合观测质量管理体系构建[J].资源科学,2020,42(10):1944-1952.
苏维词,杨吉.山水林(草)田湖人生命共同体健康评价及治理对策:以长江三峡水库重庆库区为例[J].水土保持通报,2020,40(5):209-217.
郑艳,庄贵阳.山水林田湖草系统治理:理论内涵与实践路径探析[J].城市与环境研究,2020(4):12-27.
0
Views
790
下载量
7
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621