[1]周启刚,彭春花,刘栩位,等.基于VOR模型的三峡库区消落带2010-2020年生态系统健康评价[J].水土保持研究,2022,29(05):310-318.
　ZHOU Qigang,PENG Chunhua,LIU Xuwei,et al.Ecosystem Health Assessment of Water Level Fluctuating Zone in Three Gorges Reservoir Area Based on VOR Model[J].Research of Soil and Water Conservation,2022,29(05):310-318.
点击复制

基于VOR模型的三峡库区消落带2010-2020年生态系统健康评价

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 29 期数: 2022年05期 页码: 310-318 栏目: 出版日期: 2022-08-20
Title:
Ecosystem Health Assessment of Water Level Fluctuating Zone in Three Gorges Reservoir Area Based on VOR Model
文章编号:
1005-3409(2022)05-0310-09
作者:
周启刚1,2, 彭春花2,3, 刘栩位2,3, 向宇峰4, 周 浪2,3
(1.重庆工商大学 公共管理学院, 重庆 400067; 2.生态环境空间信息数据挖掘与大数据集成重庆市重点实验室, 重庆 401320; 3.重庆工商大学 环境与资源学院, 重庆 400067; 4.石柱土家族自治县精绘勘测有限公司, 重庆 409100)
Author(s):
ZHOU Qigang1,2, PENG Chunhua2,3, LIU Xuwei2,3, XIANG Yufeng4, ZHOU Lang2,3
(1.College of Public Management, Chongqing Technology and Business University, Chongqing 400067, China; 2.Chongqing Key Laboratory of Spatial Data mining and Big Data Integration for Ecology and Environment, Chongqing 401320,China; 3.College of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, China; 4.Shizhu Tujia Autonomous County Precision Survey Corpation, Chongqing 409100, China)
关键词:
生态系统健康评价;  VOR模型;  遥感;  三峡库区消落带
Keywords:
ecosystem health assessment;  VOR model;  remote sensing;  falling zone of the Three Gorges Reservoir Area
分类号:
X82
文献标志码:
A
摘要:
健康的生态系统可保障人类社会的可持续发展,三峡库区作为我国重点生态环境保护区域,其生态系统健康状况是判断库区可持续发展的重要指标。为综合诊断全面蓄水后三峡库区消落带的生态系统健康状况,研究以景观生态学理论和遥感影像数据为基础,从生态系统活力、组织力和恢复力3个方面构建VOR模型,定量评价消落带10年间的生态系统健康状况。结果表明:(1)VOR模型可适用于三峡库区消落带生态系统健康评价,具有快速、高效等特点;(2)10年间研究区生态系统健康水平总体保持良好状态,其中改善型健康特征总面积占比最大,为44.47%,消落带健康状况呈现逐年稳定并改善趋势;(3)空间分布上,健康水平数量结构呈“凸”形分布态势,库腹消落带生态系统健康状况好于库首和库尾;(4)库首消落带生态系统活力值偏低,低值面积占库首消落带面积比超过60%,需要重视。综上,通过评价消落带的生态系统健康状况,可为三峡库区消落带生态系统保护与修复提供参考和决策支持。
Abstract:
Healthy ecosystem ensures the sustainable development of human society, and the health status of regional ecosystem is an important indicator of regional sustainable development. In order to comprehensively diagnose the ecosystem health status of the water level fluctuating zone in the Three Gorges Reservoir area after the full impoundment, based on the theory of landscape ecology and remote sensing image data, a VOR model was constructed from three aspects of ecosystem vitality, organization and resilience to quantitatively evaluate the ecosystem health status of the water level fluctuating zone in 2010—2020. The results show that:(1)VOR model can be applied to the ecosystem health assessment of the water level fluctuating zone in the Three Gorges Reservoir area, which is fast and efficient;(2)in the past 10 years, the ecosystem health level in the study area remained in a good state, and the improved health characteristics accounted for the largest proportion, accounting for 44.47%;(3)in terms of spatial distribution, the quantitative structure of health level presented a ‘convex' distribution, and the ecosystem health status of the fluctuating zone at the bottom of the reservoir was better than that at the head and tail of the reservoir;(4)ecosystem vitality, organization and resilience had positive effects on the ecosystem health of the water level fluctuating zone, but the ecosystem vitality value of the water level fluctuating zone at the head of the reservoir was low, and the low value area accounted for more than 60% of the water level fluctuating zone area at the head of the reservoir. This study can provide reference and decision support for the protection and restoration of the water level fluctuating zone ecosystem in the Three Gorges Reservoir Area by evaluating the ecosystem health status of the water level fluctuating zone.

参考文献/References:

[1] 马克明,孔红梅,关文彬,等.生态系统健康评价:方法与方向[J].生态学报,2001,21(12):2106-2116.
[2] 惠婷婷.生态系统健康评价研究进展[J].环境保护与循环经济,2020,40(2):52-54.
[3] Harrison C. Ecosystem health-New goals for environmental management[J]. Ecological Engineering, 1993, 2(4):378-379.
[4] Rapport D J. Ecosystem health: exploring the territory[J]. Ecosystem Health, 1995,1(1):5-13.
[5] Liu X F, Yi H J, Shu T, et al. Restoration of marine coastal ecosystem health as a new goal for integrated catchment management in Tolo Harbor, Hong Kong, China[J]. Environmental Management, 2006,37(4):540-552.
[6] 张虹.三峡重庆库区消落区基本特征与生态功能分析[J].长江流域资源与环境,2008,17(3):374-378.
[7] 刁承泰,黄京鸿.三峡水库水位涨落带土地资源的初步研究[J].长江流域资源与环境,1999,8(1):75-80.
[8] 张晟,杨春华,雷波,等.三峡水库蓄水初期消落带植被分布格局[J].环境影响评价,2013,6(5):45-50.
[9] 许文杰,许士国.湖泊生态系统健康评价的熵权综合健康指数法[J].水土保持研究,2008,15(1):125-127.
[10] 刘祥,陈凯,王敏,等.基于O/E模型和化学—生物综合指数的淮河流域关键断面生态健康评价[J].环境科学学报,2017,37(7):2767-2776.
[11] 杨林,万晓安,魏小煕.熵权综合健康指数法在鲁湖健康评价中的应用[J].广州化工,2016,44(8):146-150.
[12] 胡立刚.基于层次分析法的贵州省六硐河健康评估研究[J].中国农村水利水电,2019,443(9):87-93.
[13] 董金茂,崔一民.基于层次分析法的森林健康状况评价研究[J].林业调查规划,2020,45(1):15-18.
[14] 狄磊.基于层次分析法的河长制下流域健康评价[J].地下水,2019,41(6):151-154.
[15] Walz R. Development of environmental indicator systems: Experiences from Germany[J]. Environmental Management, 2000,25(6):613-623.
[16] 钟少华,时鹏,杨文刚,等.基于PSR模型的土地利用系统健康评价及障碍因子诊断:以延长县为例[J].水土保持研究,2019,26(2):283-289.
[17] 杨予静,李昌晓,丽娜·热玛赞.基于PSR框架模型的三峡库区忠县汝溪河流域生态系统健康评价[J].长江流域资源与环境,2013,22(Z1):66-74.
[18] 张渊.基于VOR模型的滇池流域生态系统健康多尺度评价研究[D].昆明:云南财经大学,2020.
[19] 彭翠华,吴文佑,孙景昆,等.用综合指数评价法对大渡河猴子岩工程河段水生态系统进行健康评价[J].四川水力发电,2018,37(5):117-119.
[20] 马行天,曹涵.基于层次分析法的陕西省城市生态系统健康动态评价[J].四川环境,2019,38(3):150-158.
[21] 徐国荣,马维伟,李广,等.基于PSR模型的甘南尕海湿地生态系统健康评价[J].水土保持通报,2019,39(6):275-280.
[22] 李翠漫.钦州湾海岸带景观格局时空演变及生态系统健康评价[D].南宁:南宁师范大学,2019.
[23] 袁毛宁,刘焱序,王曼,等.基于“活力—组织力—恢复力—贡献力”框架的广州市生态系统健康评估[J].生态学杂志,2019,38(4):1249-1257.
[24] 朱捷缘,卢慧婷,王慧芳,等.汶川地震重灾区恢复期生态系统健康评价[J].生态学报,2018,38(24):9001-9011.
[25] 孙永光,赵冬至,吴涛,等.河口湿地人为干扰度时空动态及景观响应:以大洋河口为[J].生态学报,2012,32(12):3645-3655.
[26] 陈爱莲,朱博勤,陈利顶,等.双台河口湿地景观及生态干扰度的动态变化[J].应用生态学报,2010,21(5):1120-1128.
[27] Peng J, Liu Y X, Li T Y, et al. Regional ecosystem health response to rural land use change: A case study in Lijiang City, China[J]. Ecological Indicators, 2017,72(8):399-410.
[28] Peng J, Liu Y X, Wu J S, et al. Linking ecosystem services and landscape patterns to assess urban ecosystem health: A case study in Shenzhen City, China[J]. Landscape and Urban Planning, 2015,143(6):56-68.
[29] 李建龙.村庄压煤山丘区土地生态系统健康及其管控机制研究[D].北京:中国地质大学,2017.
[30] 于伟宣.基于隐马尔可夫模型的城市群生态系统健康评价研究[D].武汉:武汉大学,2019.
[31] 王春叶.基于遥感的生态系统健康评价与生态红线划分[D].上海:上海海洋大学,2016.

相似文献/References:

[1]杨位飞,李铁松,叶兴东.邛海水生生态系统健康评价[J].水土保持研究,2006,13(02):162.
　YANG Wei-fei,LI TIE-song,YE Xing-dong.Health Assessments on the Hydrophytic Ecosystem of Qionghai Lake[J].Research of Soil and Water Conservation,2006,13(05):162.
[2]许文杰,许士国.湖泊生态系统健康评价的熵权综合健康指数法[J].水土保持研究,2008,15(01):125.
　XU Wen-jie,XU Shi-guo.Entropy Weight Comprehensive Health Index Method for Assessment of Lake Ecosystem Health[J].Research of Soil and Water Conservation,2008,15(05):125.
[3]赵鹏宇,崔嫱,冯文勇,等.滹沱河山区县域农业生态系统健康评价[J].水土保持研究,2015,22(03):315.
　ZHAO Pengyu,CUI Qiang,FENG Wenyong,et al.Assessment on Agroecosystem Health in Mountain Area of Hutuo River[J].Research of Soil and Water Conservation,2015,22(05):315.
[4]汪娜,韩永刚,黄义雄,等.福州市建成区生态系统健康评价研究[J].水土保持研究,2014,21(02):200.
　WANG Na,HAN Yong-gang,HUANG Yi-xiong,et al.Study on the Assessment of Ecosystem Health of Fuzhou Built-up Area[J].Research of Soil and Water Conservation,2014,21(05):200.

备注/Memo

收稿日期:2021-06-19 修回日期:2021-08-25
资助项目:重庆市自然科学基金(cstc2020jcyj-msxmX0493); 重庆市基础研究与前沿探索项目(cstc2018jcyjAX0497); 重庆市技术创新与应用发展重点研发项目(cstc2018jszx-zdyfxmX0021)
第一作者:周启刚(1976—),男,重庆铜梁人,博士,教授,博士生导师,主要研究方向为环境规划与管理。E-mail:zqg1050@126.com
通信作者:彭春花(1995—),女,重庆开州人,硕士研究生,主要研究方向为环境规划与管理。E-mail:827055619@qq.com

更新日期/Last Update: 2022-08-20