Spatio-temporal changes of NDVI and its response to climate in China from 2001 to 2021
SUN Rui1, ZHANG Fang-min1, WENG Sheng-heng2, LIU Qian1
1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2. Fujian Institute of Meteorological Sciences, Fuzhou 350007, China
Abstract:Based on the MODIS MOD13A3 dataset and climate data to analyze the spatio-temporal variations of NDVI in the nine major basins in China from 2001 to 2021 by statistical methods of linear regression, Theil-Sen trend and Mann-Kendall significance test. Further, the responses of NDVI to precipitation, air temperature, solar radiation and saturated water pressure difference in the nine major basins in China were investigated by using Geodetector analysis. The results showed that NDVI showed a significant upward trend (P<0.05) both in China and the nine major river basins from 2001 to 2021. The change rate of NDVI in the Yangtze River Basin, the Pearl River Basin, the Southeast River Basin and the Huaihe River Basin was the largest in winter, the Haihe River Basin in spring, the Southwest River Basin in autumn, and the other river basins in summer. From the perspective of land use change types, the NDVI change rate was ranking in the order of non-urbanized area (0.0026/a) > non-type change area (0.0021/a) > urbanized area (0.0013/a). Moreover, the NDVI of the urbanization areas was degraded in the Southeast River Basin and the Southwest River Basin. Spatially, the change rate of NDVI decreased from east to west and from south to north. The areas with stable vegetation growth accounted for 26.43% of the total area of China, mainly concentrated in the Inland River Basin and the northwest of the Southwest River Basin. The areas with vegetation improvement accounted for 70.31%, mainly distributed in the non-urbanized area of the nine major river basins. The area with vegetation degradation accounted for 3.25%, which was concentrated in the north of the Inland River Basin, the east of the Southwest River Basin, the west of Yangtze River Basin and the coastal basins in the east China. The factor detection results showed precipitation was the main factor controlling the spatial distribution of NDVI across China, followed by air temperature, saturated water pressure difference and solar radiation. In most of the nine river basins, precipitation was still the main determinant, but the saturated water pressure difference was the main determinant in the Yangtze River Basin, the Pearl River Basin and the Huaihe River Basin. In the past 21years, the influence of climatic factors on NDVI in the Yangtze River Basin, the Songliao River Basin, the Yellow River Basin and the Southwest River Basin has mostly increased, while the influence of climatic factors in other river basins has basically decreased.
孙瑞, 张方敏, 翁升恒, 刘倩. 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): 5519-5528.
SUN Rui, ZHANG Fang-min, WENG Sheng-heng, LIU Qian. Spatio-temporal changes of NDVI and its response to climate in China from 2001 to 2021. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(10): 5519-5528.
Zhu Y, Zhang J, Zhang Y, et al. Responses of vegetation to climatic variations in the desert region of northern China[J]. Catena, 2019,175:27-36.
[2]
Jiang P, Ding W, Yuan Y, et al. Interannual variability of vegetation sensitivity to climate in China[J]. Journal of Environmental Management, 2022,301:113768.
[3]
Zhu Z, Piao S, Myneni R, et al. Greening of the Earth and its drivers.[J]. Nature Clim Change, 2016,6:791-795.
[4]
Virtanen R, Luoto M, Rämä T, et al. Recent vegetation changes at the high-latitude tree line ecotone are controlled by geomorphological disturbance, productivity and diversity[J]. Global Ecology and Biogeography, 2010,19(6):810-821.
[5]
Svenning J C, Sandel B. Disequilibrium vegetation dynamics under future climate change[J]. American Journal of Botany, 2013,100(7):1266-1286.
[6]
Yin G, Hu Z, Chen X, et al. Vegetation dynamics and its response to climate change in Central Asia[J]. Journal of Arid Land, 2016,8:375-388.
[7]
Wu X, Wang S, Fu B, et al. Socio-ecological changes on the Loess Plateau of China after Grain to Green Program[J]. Science of the Total Environment, 2019,678:565-573.
[8]
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. JIN Kai, WANG Fei, HAN Jianqiao, et al. Contribution of climatic change and human activities to vegetation NDVI change over China during 1982~2015[J]. Acta Geographica Sinica, 2020,75(5):961-974.
[9]
高峥,刘赛艳,秦璇,等.淮河流域1999~2018年NDVI时空演变特征研究[J]. 人民珠江, 2023,44(3):66-73. GAO Zheng, LIU Saiyan, QIN Xuan, et al. Spatial-temporal evolution of the normalized difference vegetation index(NDVI)in the Huaihe River Basin from 1999 to 2018[J]. Pearl River, 2023,44(3):66-73.
[10]
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):1306-16. 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 Environmental Sciences, 2022,31(7):1306-16.
[11]
Zhang W, Wang L, Xiang F, et al. Vegetation dynamics and the relations with climate change at multiple time scales in the Yangtze River and Yellow River Basin, China[J]. Ecological Indicators, 2020, 110:105892.
[12]
Qu S, Wang L, Lin A, et al. What drives the vegetation restoration in Yangtze River basin, China:climate change or anthropogenic factors?[J]. Ecological Indicators, 2018,90:438-450.
[13]
Qu S, Wang L, Lin A, et al. Distinguishing the impacts of climate change and anthropogenic factors on vegetation dynamics in the Yangtze River Basin, China[J]. Ecological Indicators, 2020,108:105724.
[14]
Zheng Y, Han J, Huang Y, et al. Vegetation response to climate conditions based on NDVI simulations using stepwise cluster analysis for the Three-River Headwaters region of China[J]. Ecological indicators, 2018,92:18-29.
[15]
Chu H, Venevsky 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.
[16]
Buitenwerf R, Rose L, Higgins S I. Three decades of multi-dimensional change in global leaf phenology[J]. Nature Climate Change, 2015,5(4):364-368.
[17]
Nemani R R, Keeling C D, Hashimoto H, et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999[J]. science, 2003,300(5625):1560-1563.
[18]
袁瑞瑞,黄萧霖,郝璐.近40年中国饱和水汽压差时空变化及影响因素分析[J]. 气候与环境研究, 2021,26(4):413-424. Yuan Ruirui, Huang Xiaolin, Hao Lu. Spatio-temporal variation of vapor pressure deficit and impact factors in China in the past 40 years[J]. Climatic and Environmental Research, 2021,26(4):413-424.
[19]
耿庆玲,陈晓青,赫晓慧,等.中国不同植被类型归一化植被指数对气候变化和人类活动的响应[J]. 生态学报, 2022,42(9):3557-3568. Geng Qingling, Chen Xiaoqing, He Xiaohui, et al. Vegetation dynamics and its response to climate change and human activities based on different vegetation types in China[J]. Acta Ecologica Sinica, 2022,42(9):3557-3568.
[20]
涂又,姜亮亮,刘睿,等.1982~2015年中国植被NDVI时空变化特征及其驱动分析[J]. 农业工程学报, 2021,37(22):75-84. Tu You, Jiang Liangliang, Liu Rui, et al. Spatiotemporal changes of vegetation NDVI and its driving forces in China during 1982~2015[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021,37(22):75-84.
[21]
莫露,巫兆聪,张熠.中国XCO2时空分布与影响因素分析[J]. 中国环境科学, 2021,41(6):2562-2570. Mo Lu, Wu Zhaocong, Zhang Yi. Spatial and temporal varuations of XCO2 in China and its influencing factors analysis[J]. China Environmental Science, 2021,41(6):2562-2570.
[22]
和清华,谢云.我国太阳总辐射气候学计算方法研究[J]. 自然资源学报, 2010,25(2):308-19. He Qinghua, Xie Yun. Research on the climatological calculation method of solar radiation in China[J]. Journal of Natural Resources, 2010,25(2):308-19.
[23]
黄萧霖.生态水文变化对城市干岛效应的影响机制研究[D]. 南京:南京信息工程大学, 2022. Huang Xiaolin. Study on the mechanism of ecohydrological changes on urban dry island effect[D]. Nanjing:Nanjing University of Information Science and Technology, 2022.
[24]
李月臣,何志明,刘春霞.基于站点观测数据的气温空间化方法评述[J]. 地理科学进展, 2014,33(8):1019-28. Li Yuechen, He Zhiming, Liu Chunxia. Review on spatial interpolationmethods of temperature data from meteorological stations[J]. Progress in Geography, 2014,33(8):1019-28.
[25]
Yang J, Huang X. 30m annual land cover and its dynamics in China from 1990 to 2019[J]. Earth System Science Data Discussions, 2021, (2021):1-29.
[26]
Wei Y, Sun S, Liang D, et al. Spatial-temporal variations of NDVI and its response to climate in China from 2001 to 2020[J]. International Journal of Digital Earth, 2022,15(1):1463-1484.
[27]
覃巧婷,陈建军,杨艳萍,等.黄河源植被时空变化及其对地形和气候的响应[J]. 中国环境科学, 2021,41(8):3832-3841. Qin Qiao-ting, Chen Jian-jun, Yang Yan-ping, et al. Spatiotemporal variations of vegetation and its response to topography and climate in the source region of the Yellow River[J]. China Environmental Science, 2021,41(8):3832-3841.
[28]
Ran, Cao, Weiguo, et al. Inter-annual variations in vegetation and their response to climatic factors in the upper catchments of the Yellow River from 2000 to 2010[J]. Journal of Geographical Sciences, 2014, 24(6):963-979.
[29]
Song Y, Wang J, Ge Y, et al. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis:Cases with different types of spatial data[J]. GIScience & Remote Sensing, 2020, 57(5):593-610.
[30]
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. Yuan Lihua, Jiang Weiguo, Shen Wenming, et al. The spatio-temporal variations of vegetation cover in the Yellow River Basin from 2000 to 2010[J]. Acta Ecologica Sinica, 2013,33(24):7798-7806.
[31]
雷茜,胡忠文,王敬哲,等.1985~2015年中国不同生态系统NDVI时空变化及其对气候因子的响应[J]. 生态学报, 2023,43(15). Lei Qian, Hu Zhongwen, Wang Jingzhe, et al. Spatiotemporal dynamics of NDVI in China from 1985 to 2015:Ecosystem variation, regional differences, and response to climatic factors[J]. Acta Ecologica Sinica, 2023,43(15).
[32]
王茜,陈莹,阮玺睿,等.1982~2012年中国NDVI变化及其与气候因子的关系[J]. 草地学报, 2017,25(4):691-700. Wang Qian, Chen Ying, Wang Jingzhe, et al. The changes of NDVI in China from 1982 to 2012 and its relationship with climatic factors[J]. Acta Agrestia Sinica, 2017,25(4):691-700.
[33]
徐勇,赵纯,郭振东,等.中国八大经济区GPP变化及影响因子协同机制[J]. 中国环境科学, 2023,43(1):11. Xu Yong, Zhao Chun, Guo Zhen-dong, et al. Spatio-temporal variation of gross primary productivity and synergistic mechanism of influencing factors in the eight economic zones, China[J]. China Environmental Science, 2023,43(1):11.
[34]
黄豪奔,徐海量,林涛,等.2001~2020年新疆阿勒泰地区归一化植被指数时空变化特征及其对气候变化的响应[J]. 生态学报, 2022,42(7):2798-2809. Huang Haoben, Xu Hailiang, Lin Tao, et al. Spatio-temporal variation characteristics of NDVI and its response to climate change in the Altay region of Xinjiang from 2001 to 2020[J]. Acta Ecologica Sinica, 2022,42(7):2798-2809.
[35]
Hu Y, Dao R, Hu Y. Vegetation change and driving factors:Contribution analysis in the loess plateau of China during 2000~2015[J]. Sustainability, 2019,11(5):1320.
[36]
王思,张路路,林伟彪,等.基于MODIS归一化植被指数的广东省植被覆盖与土地利用变化研究[J]. 生态学报, 2022,42(6):2149-2163. Wang Si, Zhang Lulu, Lin Weibiao, et al. Study on vegetation coverage and land-use change of Guangdong Province based on MODIS-NDVI[J]. Acta Ecologica Sinica, 2022,42(6):2149-2163.
[37]
Chu H, Venevsky 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, 2019,650:2051-62.
[38]
Abbas A, Jin L, He Q, et al.Temporal and spatial variations of the air temperature in the Taklamakan Desert and surrounding areas[J]. Theoretical and Applied Climatology, 2021,144:873-884.
[39]
林尚荣.考虑区域气候特征与植被特征的GPP遥感估算方法研究[D]. 中国科学院大学(中国科学院空天信息创新研究院), 2020. Lin Shangrong. Research on remote sensing estimation method of GPP considering regional climate characteristics and vegetation characteristics[D]. University of Chinese Academy of Sciences (Aerospace Information Research Institute, Chinese Academy of Sciences), 2020.
[40]
许大全.气孔的不均匀关闭与光合作用的非气孔限制[J]. 植物生理学通讯, 1995,31(4):246-252. Xu Daquan.Non-uniform closure of stomata and non-stomatal limitation of photosynthesis. Plant Physiology Communications[J]. 植物生理学通讯, 1995,31(4):246-252.
[41]
Li M, Guan J, Zheng J. Climate Drivers Contribute in Vegetation Greening Stalls of Arid Xinjiang, China:An Atmospheric Water Drying Effect[J]. Water, 2022,14(13):2019.
[42]
刘玉莉,江洪,周国模,等.安吉毛竹林水汽通量变化特征及其与环境因子的关系[J]. 生态学报, 2014,34(17):4900-4909. Liu Yuli, Jiang Hong, Zhou Guomo, et al. Water vapor flux variation characteristic and the relationship with its environment factors in phyllostachys edulis forest in Anji[J]. Acta Ecologica Sinica, 2014, 34(17):4900-4909.