西北干旱半干旱区NDVI季节性变化及其影响因素

doi:10.13866/j.azr.2023.12.10

Abstract

Abstract:

The study of vegetation dynamics and its influencing factors can reveal the response mechanism between vegetation cover dynamics and climate change and has important significance for regional vegetation restoration and ecological sustainability. Based on MODIS multitemporal remote sensing satellite data, this study investigated the quarterly changes in vegetation cover in the arid and semi-arid regions of Northwest China from 2000-2020 using variation coefficient, Theil-Sen median trend analysis, Mann-Kendall significance test, correlation analysis, and Hurst index. The study found that: (1) The spatial variability of the Normalized Difference Vegetation Index (NDVI) was high in winters, and the high fluctuation areas were mainly in the grasslands and unused land areas in the Daxinganling region of Xinjiang and Inner Mongolia. (2) NDVI fluctuates more with the seasons and is most obvious in forests and cultivated areas. (3) NDVI is mainly improving, with the largest improvement in springs (84.63%), the smallest in winters (72.52%), and the most significant improvement in the woodland areas. (4) Surface temperature and precipitation influenced NDVI in all seasons (Significance = 0.05), with precipitation changes significantly affecting NDVI trends in summers and weakly during winters and surface temperature changes significantly affecting NDVI trends in springs and weakly in autumns. (5) The future NDVI also mainly shows an improving trend, with an area of 70.89%; notably, the degraded areas are sporadically distributed in the Tarim and Junggar Basins of Xinjiang. This study’s results provide theoretical references for ecological restoration and management in the arid and semi-arid regions of Northwest China and the response to local climate warming and humidification.

Key words: NDVI, trends in vegetation cover, influencing factors, MODIS, future projections, arid and semi-arid region, Northwest China

WU Wanmin, LIU Tao, CHEN Xin. Seasonal changes of NDVI in the arid and semi-arid regions of Northwest China and its influencing factors[J].Arid Zone Research, 2023, 40(12): 1969-1981.

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References 44

[1]	Fabricante I, Oesterheld M, Paruelo J M. Annual and seasonal variation of NDVI explained by current and previous precipitation across Northern Patagonia[J]. Journal of Arid Environments, 2009, 73(8): 745-753 doi: 10.1016/j.jaridenv.2009.02.006
[2]	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.
	[Fu Hanpei, Wang Ranghu, Wang Xiaojun. Analysis of spatiotemporal variations and driving forces of NDVI in the Yellow River Basin during 1999-2018[J]. Research of Soil and Water Conservation, 2022, 29(2): 145-153, 162. ]
[3]	范松克, 郝成元. 2001—2016年河南省NDVI时空变化特征分析[J]. 江苏农业学报, 2019, 35(4): 860-867.
	[Fan Songke, Hao Chengyuan. Temporal and spatial variation analysis of NDVI in Henan from 2001 to 2016[J]. Jiangsu Journal of Agricultural Sciences, 2019, 35(4): 860-867. ]
[4]	张一然, 文小航, 罗斯琼, 等. 近20年若尔盖湿地植被覆盖变化与气候因子关系研究[J]. 高原气象, 2022, 41(2): 317-327. doi: 10.7522/j.issn.1000-0534.2021.00076
	[Zhang Yiran, Wen Xiaohang, Luo Siqiong, et al. Study on the Relationship between vegetation cover change and climate factors in zoige wetland in recent 20 years[J]. Plateau Meteorology, 2022, 41(2): 317-327. ] doi: 10.7522/j.issn.1000-0534.2021.00076
[5]	高娜. 中国荒漠治理的实践反思及其对生态文明建设的当代价值[D]. 延安: 延安大学, 2022.
	[Gao Na. Practical Reflection on Desert Governance in China and Its Contemporary Value to Ecological Civilization Construction[D]. Yan’an: Yan’an University, 2022. ]
[6]	冯德乾, 王珊, 赵义民, 等. 中国森林资源变化趋势及龄组结构优化研究[J]. 西南林业大学学报: 自然科学, 2023, 43(4): 122-131.
	[Feng Deqian, Wang Shan, Zhao Yimin, et al. Analysis of changes in China’s forest resources and age group optimization[J]. Journal of Southwest Forestry University(Natural Sciences), 2023, 43(4): 122-131. ]
[7]	谢彦林. 西北干旱地区生态修复措施与对策[J]. 防护林科技, 2017, 30(7): 108-109.
	[Xie Yanlin. Measures and countermeasures for ecological restoration in arid areas of Northwest China[J]. Protection Forest Science and Technology, 2017, 30(7): 108-109. ]
[8]	郑度. 中国西北干旱区环境问题与生态建设[J]. 河北师范大学学报: 自然科学版, 2006, 30(3): 349-352.
	[Zheng Du. Environmental issues and eco-reconstruction in Northwest arid region of China[J]. Journal of Hebei Normal University(Natural Science Edition), 2006, 30(3): 349-352. ]
[9]	阿力木·依明, 木合塔尔·艾买提, 朱敏. 近二十年喀什地区植被覆盖的时空变化与影响因素分析[J]. 北方园艺, 2023(4): 60-70.
	[Alimu Yiming, Muhtar Amat, Zhu Min. Spatio-temporal variations of vegetation cover and influencing factors in Kashi Region from recent 20 years[J]. Northern Horticulture, 2023(4): 60-70. ]
[10]	孙瑞, 张方敏, 翁升恒, 等. 2001—2021年中国NDVI时空格局变化及对气候的响应[J]. 中国环境科学, 2023, 43(10): 1-15.
	[Sun Rui, Zhang Fangmin, Weng Shengheng, et al. Spatio-temporal changes of NDVI and its response to climate in China from 2001 to 2021[J]. China Environmental Science, 2023, 43(10): 1-15. ]
[11]	徐佳, 高云飞, 刘伟伟, 等. 2000—2019年青海省同仁市NDVI时空动态变化[J]. 水土保持通报, 2021, 41(5): 115-122.
	[Xu Jia, Gao Yunfei, Liu Weiwei, et al. Temporal and spatial dynamics of NDVI in Tongren City, Qinghai Province from 2000-2019[J]. Bulletin of Soil and Water Conservation, 2021, 41(5): 115-122. ]
[12]	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.
	[Xu Yong, Zheng Zhiwei, Guo Zhendong, et al. Dynamic variation in vegetation cover and its influencing factor detection in the Yangtze River Basin from 2000 to 2020[J]. Environmental Science, 2022, 43(7): 3730-3740. ]
[13]	邓玉娇, 王捷纯, 徐杰, 等. 广东省NDVI时空变化特征及其对气候因子的响应[J]. 生态环境学报, 2021, 30(1): 37-43. doi: 10.16258/j.cnki.1674-5906.2021.01.005
	[Deng Yujiao, Wang Jiechun, Xu Jie, et al. Spatiotemporal variation of NDVI and its response to climatic factors in Guangdong Province[J]. Ecology and Environment, 2021, 30(1): 37-43. ] doi: 10.16258/j.cnki.1674-5906.2021.01.005
[14]	Easdale M H, Farina C, Hara S, et al. Trend-cycles of vegetation dynamics as a tool for land degradation assessment and monitoring[J]. Ecological Indicators, 2019, 107: 105545. doi: 10.1016/j.ecolind.2019.105545
[15]	Sharma M, Bangotra P, Gautam A S, et al. Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India[J]. Stochastic Environmental Research and Risk Assessment, 2022, 36(6): 1779-1789. doi: 10.1007/s00477-021-02066-1
[16]	Moses O, Blamey R C, Reason C J C. Relationships between NDVI, river discharge and climate in the Okavango River Basin region[J]. International Journal of Climatology, 2022, 42(2): 691-713. doi: 10.1002/joc.v42.2
[17]	石淞, 李文, 曲琛, 等. 大兴安岭林草交错带植被NDVI时空演变及定量归因[J/OL]. 环境科学: 1-16[2023-11-16]. https://doi.org/10.13227/j.hjkx.202211190.
	[Shi Song, Li Wen, Qu Chen, et al. Spatiotemporal evolution and quantitative attribution analysis of vegetation NDVI in Greater Khingan Mountains forest-steppe ecotone[J/OL]. Environmental Science: 1-16[2023-11-16]. https://doi.org/10.13227/j.hjkx.202211190. ]
[18]	陈春波, 李刚勇. 1981—2020年昆仑山-阿尔金山草地NDVI时空变化及其对气温、降水的响应[J]. 中国草地学报, 2023, 45(2): 13-25.
	[Chen Chunbo, Li Gangyong. Temporal and spatial variation of grassland NDVI in Kunlun Mountains, Altun Mountains and its responses to temperature and precipitation from 1981 through 2020[J]. Chinese Journal of Grassland, 2023, 45(2): 13-25. ]
[19]	方贺, 严佩文, 石见, 等. 阿克苏地区植被生态质量时空变化及其驱动机制[J]. 干旱区研究, 2022, 39(6): 1907-1916.
	[Fang He, Yan Peiwen, Shi Jian, et al. Temporal and spatial variation of vegetation ecological quality and its driving mechanism in Aksu prefecture[J]. Arid Zone Research, 2022, 39(6): 1907-1916. ]
[20]	姚俊强, 杨青, 陈亚宁, 等. 西北干旱区气候变化及其对生态环境影响[J]. 生态学杂志, 2013, 32(5): 1283-1291.
	[Yao Junqiang, Yang Qin, Chen Yaning, et al. Climate change in arid areas of Northwest China in past 50 years and its effects on the local ecological environment[J]. Journal of Ecology, 2013, 32(5): 1283-1291. ]
[21]	王玉洁. 中国西北干旱区气候变化及典型流域影响适应研究[D]. 南京: 南京大学, 2017.
	[Wang Yujie. Research of Climate Change in the Arid Regions of Northwest China and Its Impacts and Adaptation on Typical Basins[D]. Nanjing: Nanjing University, 2017. ]
[22]	黄蕊, 徐利岗, 刘俊民. 中国西北干旱区气温时空变化特征[J]. 生态学报, 2013, 33(13): 4078-4089. doi: 10.5846/stxb
	[Huang Rui, Xu Ligang, Liu Junmin. Research on spatio-temporal change of temperature in the Northwest Arid Area[J]. Acta Ecologica Sinica, 2013, 33(13): 4078-4089. ] doi: 10.5846/stxb
[23]	刘益锋, 汪小钦, 吴思颖, 等. GPM与TRMM卫星降雨数据在福建省的适用性对比分析[J]. 水土保持研究, 2019, 26(6): 311-316.
	[Liu Yifeng, Wang Xiaoqin, Wu Siying, et al. Comparative analysis of applicability of GPM and TRMM satellite precipitation data in Fujian Province[J]. Research of Soil and Water Conservation, 2019, 26(6): 311-316. ]
[24]	李茜荣, 杨东, 冯磊, 等. 成渝经济圈2000—2018年植被NDVI的动态变化[J]. 生态学杂志, 2021, 40(9): 2967-2977.
	[Li Xirong, Yang Dong, Feng Lei, et al. Dynamics of vegetation NDVI in Chengdu-Chongqing Economic Circle from 2000 to 2018[J]. Journal of Ecology, 2021, 40(9): 2967-2977. ]
[25]	徐光来, 杨先成, 徐晓华, 等. 气候变暖背景下安徽省月NDVI动态变化研究[J]. 长江流域资源与环境, 2021, 30(2): 397-406.
	[Xu Guanglai, Yang Xiancheng, Xu Xiaohua, et al. Dynamic changes of monthly NDVI in Anhui Province under background of climate warming[J]. Resources and Environment in The Yangtze Basin, 2021, 30(2): 397-406. ]
[26]	王婧姝, 毕如田, 贺鹏, 等. 气候变化下黄土高原植被生长期NDVI动态变化特征[J]. 生态学杂志, 2023, 42(1): 67-76.
	[Wang Jingshu, Bi Rutian, HE Peng, et al. Variations of NDVI during main growing season in the Loess Plateau under climate change[J]. Journal of Ecology, 2023, 42(1): 67-76. ]
[27]	Tucker C J, Newcomb W W, Los S O, et al. Mean and inter-year variation of growing-season normalized difference vegetation index for the Sahel 1981-1989[J]. International Journal of Remote Sensing, 1991, 12(6): 1133-1135. doi: 10.1080/01431169108929717
[28]	秦格霞, 芦倩, 孟治元, 等. 1982—2015年中国北方草地NDVI时空动态及其对气候变化的响应[J]. 水土保持研究, 2021, 28(1): 101-108, 117.
	[Qin Gexia, Lu Qian, Meng Zhiyuan, et al. Spatial-temporal dynamics of grassland NDVI and its response to climate change in Northern China from 1982 to 2015[J]. Research of Soil and Water Conservation, 2021, 28(1): 101-108, 117. ]
[29]	张莉, 陈芸芝, 汪小钦. 基于时序MODIS NDVI数据的长汀县植被趋势特征研究[J]. 福州大学学报(自然科学版), 2016, 44(5): 661-667.
	[Zhang Li, Chen Yunzhi, Wang Xiaoqin. Vegetation trends research of Changting County based on time series of MODIS NDVI[J]. Journal of Fuzhou University(Philosophy and Social Sciences), 2016, 44(5): 661-667. ]
[30]	陈文裕, 夏丽华, 徐国良, 等. 2000—2020年珠江流域NDVI动态变化及影响因素研究[J]. 生态环境学报, 2022, 31(7): 1306-1316. doi: 10.16258/j.cnki.1674-5906.2022.07.003
	[Chen Wenyu, Xia Lihua, Xu Guoliang, et al. Dynamic variation of NDVI and its influencing factors in the Pearl River Basin from 2000 to 2020[J]. Ecology and Environment, 2022, 31(7): 1306-1316. ] doi: 10.16258/j.cnki.1674-5906.2022.07.003
[31]	刘子军. 基于Pearson相关系数的低渗透砂岩油藏重复压裂井优选方法[J]. 油气地质与采收率, 2022, 29(2): 140-144.
	[Liu Zijun. Method for selecting repeated fracturing wells in low-permeability sandstone reservoirs based on Pearson correlation coefficient[J]. Petroleum Geology and Recovery Efficiency, 2022, 29(2): 140-144. ]
[32]	Coscia M. Pearson correlations on complex networks[J]. Journal of Complex Networks, 2021, 9(6): cnab036. doi: 10.1093/comnet/cnab036
[33]	Hurst H E. The problem of long-term storage in reservoirs[J]. International Association of Scientific Hydrology Bulletin, 1956, 1(3): 13-27. doi: 10.1080/02626665609493644
[34]	程兀杰, 孟妮娜, 蔡昕楠, 等. 陕西省NDVI时空变化及其对气候和人类活动的响应[J]. 人民黄河, 2023, 45(4): 28-34.
	[Cheng Wujie, Meng Nina, Cai Xinnan, et al. Temporal and spatial variation of NDVI in Shaanxi Province and its response to climate change and human activities[J]. Yellow River, 2023, 45(4): 28-34. ]
[35]	袁全勇, 杨阳, 李春, 等. 基于Hurst指数的风速时间序列研究[J]. 应用数学和力学, 2018, 39(7): 798-810.
	[Yuan Quanyong, Yang Yang, Li Chun, et al. Research of wind speed time series based on the Hurst exponent[J]. Applied Mathematics and Mechanics, 2018, 39(7): 798-810. ]
[36]	Jiang L, Liu Y, Wu S, et al. Analyzing ecological environment change and associated driving factors in China based on NDVI time series data[J]. Ecological Indicators, 2021, 129: 107933. doi: 10.1016/j.ecolind.2021.107933
[37]	马小梅, 杜秉晨曦, 程勇翔, 等. 准噶尔盆地植被变化趋势及相关因素分析[J]. 干旱区研究, 2021, 38(5): 1401-1410.
	[Ma Xiaomei, Du Bingchenxi, Cheng Yongxiang, et al. Analysis of vegetation variation trend and correlative factors in Junggar Basin[J]. Arid Zone Research, 2021, 38(5): 1401-1410. ]
[38]	焦阿永, 陈伏龙, 闫俊杰, 等. 北疆地区草地TI-NDVI与NDVImax时空异质性评价[J]. 干旱区研究, 2022, 39(4): 1155-1165.
	[Jiao Ayong, Chen Fulong, Yan Junjie, et al. Spatio-temporal heterogeneity evaluation of grassland TI-NDVI and NDVImax in northern Xinjiang[J]. Arid Zone Research, 2022, 39(4): 1155-1165. ]
[39]	张兴龙, 何明. 西北干旱半干旱地区抗旱造林技术[J]. 乡村科技, 2019(5): 70, 72.
	[Zhang Xinglong, He Ming. Drought-resistant afforestation technology in arid and semi-arid regions of Northwest China[J]. Rural Science & Technology, 2019(5): 70, 72. ]
[40]	韩刚, 韩恩贤. 我国西北干旱半干旱地区抗旱造林技术[J]. 林业实用技术, 2010(8): 11-13.
	[Han Gang, Han Enxian. Drought resistant afforestation techniques in arid and semi-arid areas of Northwest China[J]. Practical Forestry Technology, 2010(8): 11-13. ]
[41]	Liu Ke, Du Lingtong, Hou Jing, et al. Spatiotemporal variations of NDVI in terrestrial ecosystems in China from 1982-2012[J]. Acta Ecologica Sinica, 2018, 38(6): 1885-1896.
[42]	文妙霞, 何学高, 刘欢, 等. 基于地理探测器的宁夏草地植被覆被时空分异及驱动因子[J]. 干旱区研究, 2023, 40(8): 1322-1332.
	[Wen Miaoxia, He Xuegao, Liu Huan, et al. Analysis of the spatiotemporal variation characteristics and driving factors of grassland vefetation cover in Ningxia based on geographical detectors[J]. Arid Zone Research, 2023, 40(8): 1322-1332. ]
[43]	周贵臣. 干旱半干旱地区抗旱造林技术的研究[J]. 农业与技术, 2017, 37(20): 186-186.
	[Zhou Guichen. Research on drought-resistant afforestation technology in arid and semi-arid areas[J]. Agriculture and Technology, 2017, 37(20): 186-186. ]
[44]	唐希明. 刍议我国西北干旱地区的抗旱造林技术[J]. 福建农业, 2014(9): 164.
	[Tang Ximing. Ruminating on drought-resistant afforestation techniques in arid areas of Northwest China[J]. Fujian Agriculture, 2014(9): 164. ]

S_NDVI	\|Z\|	变化趋势
S>0	\|Z\|≥ 2.58	极显著改善
S>0	1.96≤ \|Z\|<2.58	显著改善
S>0	\|Z\|<1.96	不显著改善
S<0	\|Z\| ≥2.58	极显著退化
S<0	1.96 ≤\|Z\|<2.58	显著退化
S<0	\|Z\|<1.96	不显著退化

近年NDVI变化趋势	所占面积百分比/%
极显著改善	25.05
显著改善	13.98
不显著改善	31.86
极显著退化	6.58
显著退化	5.12
不显著退化	17.41

近年NDVI变化趋势	所占面积百分比/%
短期预测	35.29
长期预测	64.71

Seasonal changes of NDVI in the arid and semi-arid regions of Northwest China and its influencing factors

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