[1]Xie Huijun,Cao Cong,Fan Zeying,et al.Spatial-temporal variation characteristics and obstacle factors of ‘Four Mountains' ecological environment in Chongqing[J].Research of Soil and Water Conservation,2025,32(02):353-365.[doi:10.13869/j.cnki.rswc.2025.02.038]
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Spatial-temporal variation characteristics and obstacle factors of ‘Four Mountains' ecological environment in Chongqing
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
32
Number of periods:
2025 02
Page number:
353-365
Column:
Public date:
2025-01-20
- Title:
- Spatial-temporal variation characteristics and obstacle factors of ‘Four Mountains' ecological environment in Chongqing
- Keywords:
- ecological environment quality; temporal and spatial characteristics; human activities; obstacle factors; AHP-PCA entropy weight model
- CLC:
- X826; X171.1
- DOI:
- 10.13869/j.cnki.rswc.2025.02.038
- Abstract:
- [Objective]The ‘Four Mountains' area in Chongqing is a key ecological function zone in the city. The aims of this study are to investigate the ecological environment status and obstacle factors in this area, and to present the guiding for further protecting and rationally utilizing the resources of the Four Mountains. [Methods]Based on data such as DEM, land use type, vegetation coverage, and groundwater level monitoring stations, methods such as the AHP-PCA entropy weight model, spatial autocorrelation analysis, and obstacle degree model were employed to analyze the spatiotemporal variation characteristics of ecological environmental quality in the Four Mountains area of Chongqing. Additionally, the trend of ecological environmental quality changes under different aggregation modes was explored, and the obstacle degree of each influencing factor on the ecological environmental quality of the Four Mountains was quantified. [Results](1)From 2014 to 2021, the ecological environment quality of the Four Mountains area in Chongqing was relatively good, with an overall improving trend(accounting for 36.24% of the area). A localized deteriorating trend(accounting for 24.20% of the area)was mainly distributed in the frequently human-active trough areas.(2)There were shifts in ecological environmental quality levels in the study area. The regions with extremely poor and excellent ecological environmental quality exhibited a certain stability, with 59.36% and 73.22% of the areas remaining unchanged, respectively. The mobility of regions with poor, average, and good ecological environmental quality was relatively high, with 63.69%, 54.09%, and 43.65% of the areas undergoing shifts, respectively. Among the different mountains, Mingyue Mountain had higher ecological environmental quality stability, Zhongliang Mountain had the smallest trend of ecological environmental quality improvement, and Jinyun Mountain faced a greater risk of ecological environmental quality deterioration compared to other mountains.(3)Spatial autocorrelation analysis results showed that high and low ecological environmental quality areas in the Four Mountains had significant spatial clustering characteristics(p<0.01). The ecological environmental quality faced the possibility of further deterioration under the high-low pattern, while the low-high pattern reflected a potential state of ecological environment damage.(4)Among the factors affecting the ecological environment in the Four Mountains area of Chongqing, the groundwater level had the greatest obstacle degree, followed by vegetation coverage, biological abundance, and urban development intensity. The obstacle degrees that had undergone significant changes were tunnel construction density, groundwater level, and surface water abundance. Specifically, the obstacle degree of tunnel construction density had increased, while the obstacle degrees of groundwater level and surface water abundance had decreased. [Conclusion]The ecological environment in Four Mountains area is developing well, the local ecological quality is poor, and the influence of tunnel density on the ecological environment is increasing.
- References:
-
[1]林凤.基于生态安全格局的村镇空间扩展研究:以重庆市中梁镇为例[D].重庆:重庆大学,2020.
Lin F. Study on spatial expansion of villages and towns based on ecological security pattern:a case study of Zhongliang Town, Chongqing[D].Chongqing:Chongqing University, 2020.
[2]郭高轩,代垠东,许亮,等.北京市岩溶地下水质量评价及其生态环境效应[J].中国地质,2024,51(4):1266-1279.
Guo G X, Dai Y D, Xu L, et al. Assessment of karst groundwater quality and its ecological environmental effects in Beijing[J]. Geology in China, 2024, 51(4):1266-1279.
[3]刘栩位,周启刚,周浪,等.基于RSEI的三峡库区重庆段水土保持生态功能区生态环境质量动态监测[J].水土保持研究,2021,28(5):278-286.
Liu X W, Zhou Q G, Zhou L, et al. RSEI-based dynamic monitoring of ecological quality of the soil and water conservation functional area in the Chongqing section of the three gorges reservoir area[J]. Research of Soil and Water Conservation, 2021,28(5):278-286.
[4]皇彦,宋海清,胡琦,等.2000—2020年内蒙古NDVI时空动态及其对水热条件的响应[J].水土保持研究,2024,31(4):197-204,213.
Huang Y, Song H Q, Hu Q, et al. Spatial-temporal dynamics of NDVI and its response to hydrot hermal conditions in Inner Mongolia from 2000 to 2020 [J]. Research of Soil and Water Conservation, 2024,31(4):197-204,213.
[5]Wang Y N, Yi G H, Zhou X B, et al. Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017[J]. Ecological Indicators, 2021,125:107533.
[6]Li J L, Li Y, Yin L, et al. A novel composite drought index combining precipitation, temperature and evapotranspiration used for drought monitoring in the Huang-Huai-Hai Plain[J]. Agricultural Water Management, 2024,291:108626.
[7]Chen Y, Zhang T B, Zhou X B, et al. Ecological sensitivity and its driving factors in the area along the Sichuan-Tibet Railway[J]. Environment, Development and Sustainability, 2024,26(8):20189-20208.
[8]汪士为,吴伟.近31年嘉陵江流域生态环境质量时空演变及驱动因子探测[J].水土保持研究,2024,31(1):427-439.
Wang S W, Wu W. Spatiotemporal variation of ecological environmental quality and its response to different driving factors in Jialing River Basin in recent 31 years[J]. Research of Soil and Water Conservation, 2024,31(1):427-439.
[9]Li S J, Liu C L, Ge C Z, et al. Ecosystem health assessment using PSR model and obstacle factor diagnosis for Haizhou Bay, China[J]. Ocean & Coastal Management, 2024,250:107024.
[10]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.
Li Y H, Fan Q, Wang X, et al. Spatial and temporal differentiation of ecological vulnerability under the frequency of natural hazard based on SRP model:a case study in Chaoyang County[J]. Scientia Geographica Sinica, 2015,35(11):1452-1459.
[11]孙平军,修春亮,王忠芝.基于PSE模型的矿业城市生态脆弱性的变化研究:以辽宁阜新为例[J].经济地理,2010,30(8):1354-1359.
Sun P J, Xiu C L, Wang Z Z. Assessment of mining-city's ecological-fragility on changes based on the pse mode[J]. Economic Geography, 2010,30(8):1354-1359.
[12]姚昆,周兵,李小菊,等.基于AHP-PCA熵权模型的大渡河流域中上游地区生态环境脆弱性评价[J].水土保持研究,2019,26(5):265-271.
Yao K, Zhou B, Li X X, et al. Evaluation of ecological environment vulnerability in the Upper-Middle reaches of Dadu River Basin based on AHP-PCA entropy weight model[J]. Research of Soil and Water Conservation, 2019,26(5):265-271.
[13]邹桃红,常雅轩,陈鹏,等.基于AHP-PCA熵权组合模型的吉林省生态环境脆弱性动态评价[J].中国生态农业学报(中英文),2023,31(9):1511-1524.
Zou T H, Chang Y X, Chen P, et al. Evaluation of eco-environmental vulnerability in Jilin Province based on an AHP-PCA entropy weight model[J]. Chinese Journal of Eco-Agriculture, 2023,31(9):1511-1524.
[14]彭金艳,王世东,潘金胤.基于遥感绿色指数的矿区生态环境质量评价研究:以义马矿区为例[J].矿业科学学报,2023,8(5):704-713.
Peng J Y, Wang S D, Pan J Y. Study on ecological quality evaluation of mining area based on remote sensing green index:taking Yima mining area as an example[J]. Journal of mining Science and Technology, 2023,8(5):704-713.
[15]Meng D T, Bao N S, Tayier K, et al. A remote sensing based index for assessing long-term ecological impact in arid mined land[J]. Environmental and Sustainability Indicators, 2024,22:100364.
[16]王奎峰,李娜.基于AHP和GIS耦合模型的山东半岛地质环境承载力评价[J].中国人口·资源与环境,2015,25(S1):224-227.
Wang K F, Li N. Evaluation of geo-environmental carrying capacity in Shandong Peninsula based on AHP and GIS coupling model[J]. China Population, Resources and Environment, 2015,25(S1):224-227.
[17]杨德虎,孟丹,李雨露,等.大型工程建设前后周边地区生态质量遥感评估:以北京大兴国际机场为例[J].地球科学与环境学报,2022,44(5):839-849.
Yang D H, Meng D, Li Y L, et al. Remote sensing assessment of ecological quality in the surrounding area before and after the construction of large-scale proj ect:a case study of Beijing Daxing international airport, China[J]. Journal of Earth Sciences and Environment, 2022,44(5):839-849.
[18]Guo Y K, Zhao S Q, Zhao X, et al. Evaluation of the spatiotemporal change of ecological quality under the context of urban expansion:a case study of typical urban agglomerations in China[J]. Remote Sensing, 2023,16(1):45.
[19]王桂林,强壮,曹聪,等.基于地理探测器与层次分析法的岩溶地面塌陷易发性评价:以重庆中梁山地区为例[J].中国岩溶,2022,41(1):79-87.
Wang G L, Qiang Z, Cao C, et al. Evaluation of susceptibility to Karst collapse based on the geodetector and analytic hierarchy method:an example of the Zhongliangshan Area in Chongqing[J]. Carsologica Sinica, 2022,41(1):79-87.
[20]姜巽,曹聪,刘智,等.歌乐山地区隧道工程诱发的岩溶塌陷发育规律与形成条件[J].水文地质工程地质,2023,50(5):181-191.
Jiang X, Cao C, Liu Z, et al. Development and formation conditions of Karst collapse induced by tunnel engineering in the Gele Mountain Area[J]. Hydrogeology & Engineering Geology, 2023,50(5):181-191.
[21]张艳,史飞航,张悦,等.黄河中游土壤侵蚀时空变化及驱动因素[J].水土保持研究,2023,30(5):1-12.
Zhang Y, Shi F H, Zhang Y, et al. Temporal and spatial changes and driving factors of soil erosion in the middle reaches of the Yellow River[J]. Research of Soil and Water Conservation, 2023,30(5):1-12.
[22]Jiao Z J, Sun G Y, Zhang A Z, et al. Water benefit-based ecological index for urban ecological environment quality assessments[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,14:7557-7569.
[23]程东亚,李旭东.喀斯特地区植被覆盖度变化及地形与人口效应研究[J].地球信息科学学报,2019,21(8):1227-1239.
Cheng D Y, Li X D. Vegetation coverage change in a Karst Area and effects of terrain and population[J]. Journal of Geo-Information Science, 2019,21(8):1227-1239.
[24]白芳芳,齐学斌,乔冬梅,等.黄河流域九省区农业水资源利用效率评价和障碍因子分析[J].水土保持学报,2022,36(3):146-152.
Bai F F, Qi X B, Qiao D M, et al. Evaluation of agricultural water resource utilization efficiency and obstacle factor diagnoses in nine provinces of the Yellow River Basin[J]. Journal of Soil and Water Conservation, 2022,36(3):146-152.
[25]张仕超,刘竞宇,冉龙池,等.基于提高森林覆盖率目标的跨区县横向生态补偿与供需对接:以重庆市为例[J].生态学报,2023,43(11):4651-4663.
Zhang S C, Liu J Y, Ran L C, et al. Cross-county horizontal ecological compensation and supply-demand docking to increase forest coverage:a case study of Chongqing[J]. Acta Ecologica Sinica, 2023,43(11):4651-4663.
[26]徐川.重庆“四山” 地区城乡结合部一三产融合发展模式研究[D].四川绵阳:西南科技大学,2021.
Xu C. A Study on the integrated development model of primary and tertiary industry in the urban-rural junction of Chongqing's “Four Mountains”[D]. Mianyang, Sichuan:Southwest University of Science and Technology, 2021.
[27]郝庆.以流域为单元的山水林田湖草沙一体化保护修复[J].中国国土资源经济,2022,35(9):31-36,53.
Hao Q. Protection and restoration for the integration of mountains, rivers, forests, fields, lakes, grasslands and sands based on watershed[J]. Natural Resource Economics of China, 2022,35(9):31-36,53.
[28]吕玉香,蒋勇军,王正雄,等.西南岩溶槽谷区隧道建设的水文生态环境效应研究进展[J].生态学报,2020,40(6):1851-1864.
Lü Y X, Jiang Y J, Wang Z X, et al. Review on the hydrology and the ecological and environmental effects of tunnel construction in the Karst valley of Southwest China[J]. Acta Ecologica Sinica, 2020,40(6):1851-1864.
[29]朱帅,曹建华,杨慧,等.岩溶区植被与岩石地球化学背景间相互作用机制研究进展[J].岩矿测试,2023,42(1):59-71.
Zhu S, Cao J H, Yang H, et al. A review of the interaction mechanism and law between vegetation and rock geochemical background in karst areas[J]. Rock and Mineral Analysis, 2023,42(1):59-71.
[30]李昊宸,刘莉,肖卓棱,等.重庆中梁山矿区生态环境质量时空变化分析[J].环境科学与技术,2022,45(S1):220-226.
Li H C, Liu L, Xiao Z L, et al. Ecological environment quality assessment of Chongqing Zhongliangshan mining area based on remote sensing ecological index[J]. Environmental Science & Technology, 2022,45(S1):220-226.
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Last Update:
2025-01-20