PDF Download

[1]FU Jianxin.Temporal and Spatial Changes of NDVI of Different Land Covers and Their Responses to Temperature and Precipitation in the Yellow River Basin of Shanxi[J].Research of Soil and Water Conservation,2023,30(03):364-372.[doi:10.13869/j.cnki.rswc.2023.03.005]

Copy

Temporal and Spatial Changes of NDVI of Different Land Covers and Their Responses to Temperature and Precipitation in the Yellow River Basin of Shanxi

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 03 Page number: 364-372 Column: Public date: 2023-04-10

Title:: Temporal and Spatial Changes of NDVI of Different Land Covers and Their Responses to Temperature and Precipitation in the Yellow River Basin of Shanxi

Author(s):: FU Jianxin; (Institute of Urban and Regional Development, Taiyuan Normal University, Jinzhong, Shanxi 030619, China)

Keywords:: NDVI; land cover; ecological restoration; climate change; Yellow River Basin of Shanxi

CLC:: Q948.112

DOI:: 10.13869/j.cnki.rswc.2023.03.005

Abstract:: [Objective]Understanding the temporal and spatial changes of NDVI of different land use types and their responses to temperature and precipitation is of great significance to the ecological protection, restoration and high-quality development of the Yellow River Basin in Shanxi. [Methods] Based on NDVI data from 1998 to 2018, the methods of mathematical such as NDVI change trend, coefficient of variation, and spatial autocorrelation were used to illustrate temporal and spatial variation characteristics of NDVI of different land covers in the Yellow River Basin of Shanxi and their relationship with temperature and precipitation. [Results] The NDVI change trend of the whole region and different land cover showed a positive trend, and the coverage of grassland and woodland was better than the overall level. NDVI as a whole showed a spatial distribution pattern of north-south arrays and mosaic of high and low levels, value of NDVI was high in Lüliang Mountain and Taiyue-Zhongtiao Mountain, and it was low in western plateau hills and Fenhe Valley. The spatial heterogeneity of the NDVI change trend was significant, and the vegetation was mainly improved significantly. The improvement trend of woodland had the best stability. NDVI presented obvious spatial agglomeration characteristics, among which the change trend of cultivated land NDVI was the most obvious. The sensitivity of NDVI of different land types to precipitation was stronger than that of temperature. [Conclusion] The spatial and temporal variation of NDVI varied significantly among different land use types in the Yellow River Basin of Shanxi Province, and there was a responsive relationship to temperature and precipitation. This research can provide more accurate basic data for vegetation restoration and its relationship with temperature and precipitation for the ecological protection and construction of the Yellow River Basin in Shanxi.

References:: [1] 金凤君.黄河流域生态保护与高质量发展的协调推进策略[J].改革,2019,309(11):33-39.
[2] 薛澜,杨越,陈玲,等.黄河流域生态保护和高质量发展战略立法的策略[J].中国人口·资源与环境,2020,30(12):1-7.
[3] 安树伟,李瑞鹏.黄河流域高质量发展的内涵与推进方略[J].改革,2020,311(1):76-86.
[4] 徐辉,师诺,武玲玲,等.黄河流域高质量发展水平测度及其时空演变[J].资源科学,2020,42(1):115-126.
[5] 徐勇,王传胜.黄河流域生态保护和高质量发展:框架、路径与对策[J].中国科学院院刊,2020,35(7):875-883.
[6] 刘宪锋,潘耀忠,朱秀芳,等.2000—2014年秦巴山区植被覆盖时空变化特征及其归因[J].地理学报,2015,70(5):705-716.
[7] 杨达,易桂花,张廷斌,等.青藏高原植被生长季NDVI时空变化与影响因素[J].应用生态学报,2021,32(4):1361-1372.
[8] 徐光来,李爱娟,徐晓华,等.中国生态功能保护区归一化植被指数动态及气候因子驱动[J].植物生态学报,2021,45(3):213-223.
[9] 付建新,曹广超,郭文炯.1998—2017年祁连山南坡不同海拔、坡度和坡向生长季NDVI变化及其与气象因子的关系[J].应用生态学报,2020,31(4):1203-1212.
[10] 邵周玲,周文佐,李凤,等.2003—2018年米仓山地区植被物候时空变化及对气候的响应[J].生态学报,2021,41(9):3701-3712.
[11] 李净,刘红兵,李彩云,等.基于GIMMS 3g NDVI的近30年中国北部植被生长季始期变化研究[J].地理科学,2017,37(4):620-629.
[12] 仝莉棉,曾彪,王鑫.山西省不同生态区NDVI时空变化及其影响因素[J].水土保持研究,2016,23(3):71-76.
[13] 刘洋,李诚志,刘志辉,等.1982—2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J].生态学报,2016,36(19):6198-6208.
[14] 金凯,王飞,韩剑桥,等.1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报,2020,75(5):961-974.
[15] 马海云,张林林,魏学琼,等.2000—2015年西南地区土地利用与植被覆盖的时空变化[J].应用生态学报,2020,32(2):618-628.
[16] 韩炳宏,周秉荣,颜玉倩,等.2000—2018年青藏高原植被覆盖变化及其与气候因素的关系分析[J].草地学报,2019,27(6):1651-1658.
[17] 崔利芳,王伦澈,屈赛,等.气温、降水量和人类活动对长江流域植被NDVI的影响[J].地球科学,2019,45(6):1905-1917.
[18] 付含培,王让虎,王晓军.1999—2018年黄河流域NDVI时空变化及驱动力分析[J].水土保持研究,2022,29(2):145-153,162.
[19] 孙高鹏,刘宪锋,王小红,等.2001—2020年黄河流域植被覆盖变化及其影响因素[J].中国沙漠,2021,41(4):205-212.
[20] 张乐艺,李霞,冯京辉,等.2000—2018年黄河流域NDVI时空变化及其对气候和人类活动的双重响应[J].水土保持通报,2021,41(5):276-286.
[21] 李晴晴,曹艳萍,苗书玲.黄河流域植被时空变化及其对气候要素的响应研究[J].生态学报,2022,42(10):1-14.
[22] 赵倩倩,李建华,张桂琴,等.气候变化背景下黄河流域植被变化及其成因[J].气候与环境研究,2022,27(1):157-169.
[23] 徐建华.现代地理学中的数学方法.[M].2版.北京:高等教育出版社,2002.
[24] 孙锐,陈少辉,苏红波.2000—2016年黄土高原不同土地覆盖类型植被NDVI时空变化[J].地理科学进展,2019,38(8):1248-1258.
[25] 杨斯棋,邢潇月,董卫华,等.北京市甲型H1N1流感对气象因子的时空响应[J].地理学报,2018,73(3):460-473.
[26] 熊俊楠,李进,程维明,等.西南地区山洪灾害时空分布特征及其影响因素[J].地理学报,2019,74(7):1374-1391.
[27] 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[J].生态学报,2013,33(24):7798-7806.
[28] Wang, J, Wang K L, Zhang M Y. Impacts of climate change and human activities on vegetation cover in hilly southern China[J]. Ecological Engineering the Journal of Ecotechnology, 2015,81:451-461.
[29] Zhao W, Hu Z M, Guo Q, et al. Contributions of climatic factors to inter-annual variability of vegetation index in northern China grasslands[J]. Journal of Climate, 2019,33(1):175-183.
[30] 汲玉河,周广胜,王树东,等.2000—2019年秦岭地区植被生态质量演变特征及驱动力分析[J].植物生态学报,2021,45(6):617-625.
[31] 张志强,刘欢,左其亭,等.2000—2019年黄河流域植被覆盖度时空变化[J].资源科学,2021,43(4):849-858.
[32] 张镱锂,李兰晖,丁明军,等新世纪以来青藏高原绿度变化及动因[J].自然杂志,2017,39(3):173-178.
[33] 贾丹阳,熊祯祯,高岩,等.近30年台特玛湖地区土地利用/土地覆被变化及其影响因素[J].干旱区地理,2021,44(4):1022-1031.
[34] 高江波,焦珂伟,吴绍洪.1982—2013年中国植被NDVI空间异质性的气候影响分析[J].地理学报,2019,74(3):534-543.
[35] 刘恒,汤弟伟,孙毅,等.武陵山区植被生长季NDVI时空变化及其对气候变化的响应[J].水土保持研究,2021,28(5):245-253.

Similar References:

Memo

Last Update: 2023-04-10