2023 Vol. 44, No. 3
Article Contents

WANG Shangxiao, NIU Xiaonan, ZHANG Jie, ZHANG Ming, ZONG Leli, HUANG Dingling. 2023. Spatial and temporal variation features of NDVI and its influence factors in the Xin'an River Basin from 2000 to 2021. East China Geology, 44(3): 273-281. doi: 10.16788/j.hddz.32-1865/P.2023.03.003
Citation: WANG Shangxiao, NIU Xiaonan, ZHANG Jie, ZHANG Ming, ZONG Leli, HUANG Dingling. 2023. Spatial and temporal variation features of NDVI and its influence factors in the Xin'an River Basin from 2000 to 2021. East China Geology, 44(3): 273-281. doi: 10.16788/j.hddz.32-1865/P.2023.03.003

Spatial and temporal variation features of NDVI and its influence factors in the Xin'an River Basin from 2000 to 2021

  • As a pivotal ecological safeguard in the Yangtze River Delta, the Xin'an River Basin necessitates rigorous surveillance over its vegetation coverage to fully comprehend its shifting characteristics, which is of great significance to the local ecological environment protection. Taking Xin'an River Basin as a case, our study adopts MOD13Q1 data from 2000 to 2021 to unveil the spatial-temporal variability of the Normalized Difference Vegetation Index (NDVI) and its persistence of the change through the application of Theil-Sen Median trend analysis, the Mann-Kendall test and Hurst. Furthermore, the study decodes the relationship between NDVI trends, lithology construction, and diverse land usage types. The findings illustrated that the average annual NDVI within the Xin'an River Basin spanned from 0.5 to 0.9 for over two decades, exhibiting a generally upward ebb and flow trend. The pinnacle was recorded during July to September, while the low ebb occurred from January to March, reflecting a distinct "high in mountains, low in hills and plains" distribution characteristics. The NDVI changes are dominated by improvement type, especially the continuous improvement, accounting for over 70% of the local area, among which 85.71% of the area were slightly and significantly improved. Upon investigation of the Quaternary and Cretaceous red layer distributed area, the study found a higher proportion of substantial and slight NDVI degradation. Land types suffering pronounced NDVI degradation were construction land, grassland, and cropland, respectively. The conclusions drawn from our research elucidate the spatial-temporal NDVI fluctuations in the Xin'an River Basin, bearing substantial implications for ecological preservation and development in the region.
  • 加载中
  • [1] LIN M, HOU L, QI Z, et al. Impacts of climate change and human activities on vegetation NDVI in China's Mu Us sandy land during 2000-2019[J]. Ecological Indicators, 2022, 142:109164.

    Google Scholar

    [2] WANG S, LI R, WU Y, et al. Vegetation dynamics and their response to hydrothermal conditions in Inner Mongolia, China[J]. Global Ecology and Conservation, 2022, 34:e02034.

    Google Scholar

    [3] LI S, YANG S, LIU X, et al. NDVI-based analysis on the influence of climate change and human activities on vegetation restoration in the Shaanxi-Gansu-Ningxia Region, Central China[J]. Remote Sensing, 2015, 7(9):11163-11182.

    Google Scholar

    [4] ROUSE J, HAAS R, SCHELL J, et al. Monitoring vegetation systems in the great plains with ERTS[C]//Third ERTS Symposium, NASA, Washington, DC, 1973:309-317.

    Google Scholar

    [5] LENG S, HUETE A, CLEVERLY J, et al. Assessing the impact of extreme droughts on dryland vegetation by multi-satellite solar-induced chlorophyll fluorescence[J]. Remote Sensing, 2022, 14(7):1581-1599.

    Google Scholar

    [6] ZENG J, ZHANG R, QU Y, et al. Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018[J]. Weather and Climate Extremes, 2022, 35:100412.

    Google Scholar

    [7] DONG Y, YIN D, LI X, et al. Spatial-temporal evolution of vegetation NDVI in association with climatic, environmental and anthropogenic factors in the loess plateau, China during 2000-2015:Quantitative analysis based on geographical detector model[J]. Remote Sensing, 2021, 13(21):4380.

    Google Scholar

    [8] CHU H, VENEVYSKY S, WU C, et al. NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015[J]. Science of the Total Environment, 2019, 650:2051-2062.

    Google Scholar

    [9] HUANG S, TANG L, HUPY J P, et al. A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing[J]. Journal of Forestry Research, 2021, 32(1):1-6.

    Google Scholar

    [10] 宗加权,白淑英,冯朝阳,等.基于连续时间序列NDVI数据的中国生态状况时空变化特征[J].水土保持研究, 2021, 28(1):132-138.

    Google Scholar

    ZONG J Q, BAI S Y, FENG C Y, et al. Spatial and temporal characteristics of ecological conditions in China based on continuous time series NDVI data[J]. Soil and Water Conservation Research, 2021, 28(1):132-138.

    Google Scholar

    [11] JIA W, LIU M, YANG Y, et al. Estimation and uncertainty analyses of grassland biomass in Northern China:Comparison of multiple remote sensing data sources and modeling approaches[J]. Ecological Indicators, 2016, 60:1031-1040.

    Google Scholar

    [12] 孙红雨,王长耀,牛铮.中国地表植被覆盖变化及其与气候因子关系--基于NOAA时间序列数据分析[J].遥感学报, 1998, 2(3):204-210.

    Google Scholar

    SUN H Y, WANG C Y, NIU Z. Changes in surface vegetation cover and its relationship with climate factors in China:An analysis based on NOAA time series data[J]. Journal of Remote Sensing, 1998, 2(3):204-210.

    Google Scholar

    [13] FENSHOLT R, PROUD S R. Evaluation of earth observation based global long term vegetation trends-Comparing GIMMS and MODIS global NDVI time series[J]. Remote Sensing of Environment, 2012, 119:131-147.

    Google Scholar

    [14] TIAN F, FENSHLOT R, VERBESSELT J, et al. Evaluating temporal consistency of long-term global NDVI datasets for trend analysis[J]. Remote Sensing of Environment, 2015, 163:326-340.

    Google Scholar

    [15] 袁丽华,蒋卫国,申文明,等.2000-2010年黄河流域植被覆盖的时空变化.生态学报,2013,33(24):7798-7806.

    Google Scholar

    YUAN L H, JIANG W G, SHEN W M,et al. Spatial and temporal variation of vegetation cover in the Yellow River Basin from 2000 to 2010. Journal of Ecology, 2013, 33(24):7798-7806.

    Google Scholar

    [16] 刘咏梅,李京忠,夏露.黄土高原植被覆盖变化动态分析[J].西北大学学报(自然科学版), 2011, 41(6):1054-1058.

    Google Scholar

    LIU Y M, LI J Z, XIA L. Dynamic analysis of vegetation cover changes on the Loess Plateau[J]. Journal of Northwestern University (Natural Science Edition), 2011, 41(6):1054-1058.

    Google Scholar

    [17] 徐勇,郑志威,郭振东,等. 2000-2020年长江流域植被NDVI动态变化及影响因素探测[J].环境科学, 2022, 43(7):3730-3740.

    Google Scholar

    XU Y, ZHENG Z W, GUO Z D, et al. Detection of NDVI dynamics of vegetation in the Yangtze River basin from 2000 to 2020 and the influencing factors[J]. Environmental Science, 2022, 43(7):3730-3740.

    Google Scholar

    [18] 杨啸.基于时序NDVI的湖北省植被覆盖动态变化监测分析[J].长江流域资源与环境, 2013, 22(2):195-205.

    Google Scholar

    YANG X. Monitoring of vegetation cover dynamics in Hubei Province based on time-series NDVI[J]. Yangtze River Basin Resources and Environment, 2013, 22(2):195-205.

    Google Scholar

    [19] HEIN L, DE RIDDER N, HIERNAUX P, et al. Desertification in the Sahel:Towards better accounting for ecosystem dynamics in the interpretation of remote sensing images[J]. Journal of Arid Environments, 2011, 75(11):1164-1172.

    Google Scholar

    [20] 唐志敏,张晓东,张明,等.新安江流域土壤元素地球化学特征:来自岩石建造类型的约束[J].华东地质, 2023, 44(2):172-185.

    Google Scholar

    TANG Z M, ZHANG X D, ZHANG M, et al. Geochemical characteristics of soil elements in the Xin'anjiang River Basin:Constraints from rock construction types[J]. East China Geology, 2023, 44(2):172-185.

    Google Scholar

    [21] 田福金,马青山,张明,等.基于主成分分析和熵权法的新安江流域水质评价[J].中国地质, 2023, 50(2):495-505.

    Google Scholar

    TIAN F J, MA Q S, ZHANG M, et al. Water quality evaluation of Xin'an River Basin based on principal component analysis and entropy weight method[J]. Geology of China,2023, 50(2):495-505.

    Google Scholar

    [22] 曹芳芳,李雪,王东,等.新安江流域土地利用结构对水质的影响[J].环境科学,2013,34(7):2582-2587.

    Google Scholar

    CAO F F, LI X, WANG D, et al. Impact of land use structure on water quality in the Xin'an River Basin[J]. Environmental Science,2013,34(7):2582-2587.

    Google Scholar

    [23] 天娜.黄山市旅游资源开发与可持续发展研究[D].芜湖:安徽师范大学,2014. TIAN N. Research on the development and sustainable development of tourism resources in Huangshan City[D]. Wuhu:Anhui Normal University,2014.

    Google Scholar

    [24] 徐鹏炜,赵多.基于RS和GIS的杭州城市生态环境质量综合评价技术[J].应用生态学报,2006,17(6):1034-1038.

    Google Scholar

    XU P W, ZHAO D. RS-and GIS-based comprehensive evaluation technology for urban ecological environment quality in Hangzhou[J]. Journal of Applied Ecology,2006,17(6):1034-1038.

    Google Scholar

    [25] 杭州发布经济社会发展报告城市经济实力大步跃升[N/OL]. 2021-07-01[2023-04-10] .http://zj.sina.com.cn/news/2021-07-01/detail-ikqcfnca4312917.shtml.

    Google Scholar

    [26] 中国地质调查局南京地质调查中心.华东地区自然资源综合调查成果报告[R].南京:中国地质调查局南京地质调查中心, 2021:41-42.

    Google Scholar

    Nanjing Center,China Geological Survey. Report on the results of the comprehensive survey of natural resources in East China[R].Nanjing:Nanjing Center, China Geological Survey,2021:41-42.

    Google Scholar

    [27] SANDHOLT I, RASMUSSEN K, ANDERSEN J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2002, 79:213-224.

    Google Scholar

    [28] FENG T, RASMUS F,JAN V, et al. Evaluating temporal consistency of long-term global NDVI datasets for trend analysis[J]. Remote Sensing of Environment, 2015, 163:326-340.

    Google Scholar

    [29] 侯西勇,应兰兰,高猛,等. 1998-2008年中国东部沿海植被覆盖变化特征[J].地理科学, 2010,30(5):735-741.

    Google Scholar

    HOU X Y, YING L L, GAO M, et al. Characteristics of vegetation cover change in eastern coastal China from 1998 to 2008[J]. Geoscience, 2010,30(5):735-741.

    Google Scholar

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(1136) PDF downloads(56) Cited by(0)

Access History

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint