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[1]Xue Hua,Liu Ping.Spatiotemporal Variation of Ecological Environmental Quality and Its Response to Different Driving Factors in the Section of Yellow River Basinin Recent 31 Years-Taking Yan'an City as an Example[J].Research of Soil and Water Conservation,2024,31(01):373-384.[doi:10.13869/j.cnki.rswc.2024.01.024]

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Spatiotemporal Variation of Ecological Environmental Quality and Its Response to Different Driving Factors in the Section of Yellow River Basinin Recent 31 Years-Taking Yan'an City as an Example

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 31 Number of periods: 2024 01 Page number: 373-384 Column: Public date: 2024-02-20

Title:: Spatiotemporal Variation of Ecological Environmental Quality and Its Response to Different Driving Factors in the Section of Yellow River Basinin Recent 31 Years-Taking Yan'an City as an Example

Author(s):: Xue Hua, Liu Ping; (Shanxi Conservancy Technical Institute, Yuncheng, Shanxi 044000, China)

Keywords:: ecological environmental quality; land use; topographic; climate; Yellow River Basin; Yan'an City

CLC:: TP79, X87; X826

DOI:: 10.13869/j.cnki.rswc.2024.01.024

Abstract:: [Objective] Ecological environment quality assessment is an important basis for ecological environment protection and ecological civilization construction in the middle reaches of the Yellow River. Exploring the dynamic of ecological environment quality and the influence of different leading factors on it can provide a theoretical basis for the coordinated development of ecological environment protection strategy and economic development strategy. [Methods] Based on remote sensing ecological index, Sen trend analysis, Manna-Kendall mutation point test, coefficient of variation and Hurst method were used to analyze the past and future evolution characteristics of ecological environment of Yan'an City in the middle reaches of the Yellow River from 1990 to 2020. The sensitivity of RSEI to different driving factors at different stages was investigated by using random forest and structural equation model. [Results](1)In recent 31 years, the ecological environment quality of Yan'an City showed a good trend. Among them, the indexes of greenness and humidity were increasing, and the indexes of heat and dryness were decreasing, which jointly promoted the change of ecological environment quality in Yan'an City.(2)RSEI showed an upward trend before 1995, a downward trend during 1995—2001, and an increasing trend after 2001.(3)The RSEI changes from 1990 to 1995 belonged to high volatility changes, the RSEI changes from 1996 to 2001 were mainly high volatility changes, and the RSEI changes from 2002 to 2020 belonged to low volatility changes. RSEI will show a large area of decline in the coming period of time.(4)During 1990—1995, RSEI was positively affected by extremely low daily minimum temperature, and negatively affected by extremely high daily maximum temperature, extremely low daily maximum temperature and drought. The positive effect of land use on RSEI was the greatest during 1996—2001, and the very low daily maximum temperature, drought and the very low daily minimum temperature had the greatest negative effect on RSEI. From 2002 to 2020, the 5-day maximum rainfall had the greatest negative impact on RSEI, and the very low daily maximum temperature, the very high daily maximum temperature and the very low daily minimum temperature had little negative impact on RSEI, but they all had an impact on the 5-day maximum rainfall and thus had a greater indirect impact on RSEI. This study can provide practical reference and theoretical support for the assessment and improvement of ecological environment quality in Yan'an City. [Conclusion] In recent 31 years, the ecological environment quality of Yan'an City had shown an overall increasing trend, but the ecological degradation caused by climate change needs to attract the attention of the government, and put forward a series of ecological restoration measures as soon as possible to prevent the further deterioration of its ecological environment.

References:: [1] Zhang T, Peng J, Liang W, et al. Spatial-temporal patterns of water use efficiency and climate controls in China's Loess Plateau during 2000—2010[J]. Science of the Total Environment, 2016,565:105-122.
[2] 郜国明,田世民,曹永涛,等.黄河流域生态保护问题与对策探讨[J].人民黄河,2020,421(9):126-130.
Gao G M, Tian S M, Cao Y T, et al. Discussion on the issues and countermeasures of ecological conservation of the Yellow River Basin[J]. Yellow Rive, 2020,421(9):126-130.
[3] 山仑,徐炳成.新时期延安市林草植被建设若干问题研究[J].人民黄河,2022,44(9):6-11.
Shan L, Xu B C. Some issues about afforestation and grassland construction in Yan'an City in the New Era[J]. Yellow River, 2022,44(9):6-11.
[4] Yuan M, Zhao L, Lin A, et al. Impacts of preseason drought on vegetation spring phenology across the northeast China Transect[J]. Science of the Total Environment, 2020,738:140297.
[5] Gerland P, Raftery A E, Sevcikova H, et al. World population stabilization unlikely this century[J]. Science, 2014,346; 234-237.
[6] 孙亚荣,白应飞,王亚娟,等.1999—2018年延安市各区县退耕还林草实施效果分析[J].水土保持研究,2023,30(1):209-215.
Sun Y R, Bai Y F, Wang Y J, et al. Analysis on the implementation effect of returning farmland to forestland and grassland in various districts and counties of Yan'an City from 1999 to 2018[J]. Research of Soil and Water Conservation, 2023,30(1):209-215.
[7] 周璐红,王盼婷,曹瑞超.2000—2020年延安市土壤侵蚀驱动因素分析及生态安全评价[J].生态与农村环境学报,2022,38(4):511-520.
Zhou L H, Wang P T, Cao R C. Soil erosion driving factors and ecological security evaluation for Yan'an City from 2000 to 2020[J]. Journal of Ecology and Rural Environment, 2022,38(4):511-520.
[8] Feng X, Fu B, Piao S, et al. Revegetation in China's loess plateau is approaching sustainable water resource limits[J]. Nature Clim Change, 2016,6:1019-1022.
[9] Wang S, Fu B, Piao S, et al. Reduced sediment transport in the Yellow River due to anthropogenic changes[J]. Nature Geoscience, 2015,9(1):38-41.
[10] Fu B, Wang S, Liu Y, et al. Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China[J]. Annual Review of Earth & Planetary Sciences, 2016,45(1):223-243.
[11] Qin G X, Meng Z Y, Fu Y. Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China[J]. Science of the Total Environment, 2022,834:155479.
[12] 张家政,闵志强,王得军,等.基于延安市不同植被类型NDVI对气象因子影响及空间异质性[J].西北林学院学报,2021,36(6):55-64.
Zhang J Z, min Z Q, Wang D J, et al. Effects of NDVI on meteorological factors and spatial heterogeneity based on different vegetation types in Yan'an City[J]. Journal of Northwest Forestry University, 2021,36(6):55-64.
[13] 杨致远,刘琪璟,秦立厚,等.延安市退耕还林工程生态效益评价[J].西北林学院学报,2022,37(1):259-266.
Yang Z Y, Liu Q J, Qin L H, et al. Ecological Benefit Assessment of the Grain for Green Project in Yan'an[J]. Journalof Northwest Forestry University, 2022,37(1):259-266.
[14] 侯青青,裴婷婷,陈英,等.1986—2019年黄土高原干旱变化特征及趋势[J].应用生态学报,2021,32(2):649-660.
Hou Q Q, Pei T T, Chen Y, et al. Variations of drought and its trend in the Loess Plateau from 1986 to 2019[J]. Chinese Journal of Applied Ecology, 2021,32(2):649-660.
[15] 裴婷婷,李小雁,吴华武,等.黄土高原植被水分利用效率对气候和植被指数的敏感性研究[J].农业工程学报,2019,35(5):119-125.
Pei T T, Li X Y, Wu H W, et al. Sensitivity of vegetation water use efficiency toclimate and vegetation index in Loess Plateau, China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019,35(5):119-125.
[16] Tian F, Liu L Z, Yang J H, et al. Vegetation greening in more than 94%of the Yellow River Basin(YRB)region in China during the 21 st century caused jointly by warming and anthropogenic activities[J]. Ecological Indicators, 2021,125:107479.
[17] 韩磊,火红,刘钊,等.基于地形梯度的黄河中游地区植被覆盖时空分异特征:以延安市为例[J].应用生态学报,2021,32(5):1581-1592.
Han L, Huo H, Liu Z, et al. Spatial and temporal variations of vegetation coverage in the middle section of Yellow River Basin based on terrain gradient:Taking Yan'an City as an example[J]. Chinese Journal of Applied Ecology, 2021,32(5):1581-1592.
[18] Xu H, Wang Y, Guan H, et al. Detecting ecological changes with a remote sensing based ecological index(RSEI)produced time series and change vector analysis[J]. Remote Sens-Basel, 2019,11(20):2345.
[19] 徐涵秋.区域生态环境变化的遥感评价指数[J].中国环境科学,2013,33(5):889-897.
Xu H Q. Remote sensing index for assessment of regional ecological changes[J]. China Environmental Science, 2013,33(5):889-897.
[20] 宋慧敏,薛亮.基于遥感生态指数模型的渭南市生态环境质量动态监测与分析[J].应用生态学报,2016,27(12):3913-3919.
Song H M, Xue L. Dynamic monitoring and analysis of ecological environment in Weinan City, Northwest China based onRSEI model[J]. Chinese Journal of Applied Ecology, 2016,27(12):3913-3919.
[21] 王丽霞,赵蕊,刘招,等.基于RSEI的延河流域生态环境质量监测与预估[J].干旱区研究,2022,39(3):943-954.
Wang L X, Zhao R, Liu Z, et al. Monitoring and prediction of ecological environmental quality in the Yanhe RiverBasin based on the remote sensing ecological index[J]. Arid Zone Research, 2022,39(3):943-954.
[22] 杨悦,赵雨,员学锋,等.乡村振兴背景下陕西省生态环境质量影响因素探究[J].生态与农村环境学报,2023,39(1), doi:10,19741/j. issn.1673-4831.2022.0783.
Yang Y, Zhao Y, Yuan X F, et al. Study on the factors influencing ecological environment quality in Shaanxi province in the context of rural revitalization[J]. Journal of Ecology and Rural Environment, 2023,39(1), doi:10.19741/j. issn.1673-4831.2022.0783.
[23] 谢明阳,焦春萌,韩小雨,等.1990—2020年延安市土壤侵蚀演变及其时空偏移特征[J].水土保持通报,2022,42(5):187-192.
Xie M Y, Jiao C M, Han X Y, et al. Evolution and spatial-temporal shift characteristics of soil erosion in Yan'An city during 1990—2020[J]. Bulletin of Soil and Water Conservation, 2022,42(5):187-192.
[24] Piao S, Yin G, Tan J, et al. Detection and attribution of vegetation greening trend in China over the last 30 years[J]. Global Change Biology, 2015,21(4):1601-1609.
[25] 谷佳贺,薛华柱,董国涛.黄河流域NDVI/土地利用对蒸散发时空变化的影响[J].干旱区地理,2021,44(11):158-167.
Gu J H, Xue H Z, Dong G T. Effects of NDVI/landuse on spatiotemporal changes of evapotranspiration in the Yellow River Basin[J]. Arid Land Geography, 2021,44(11):158-167.
[26] Zheng H, Lin H, Zhu X, et al. Divergent spatial responses of plant and ecosystem water-use efficiency to climate and vegetation gradients in the Chinese Loess Plateau[J]. Global and Planetary Change, 2019,181:102995.

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Last Update: 2024-02-20