[1] PIAO S L, WANG J W, LI X Y et al. Spatio‐temporal changes in the speed of canopy development and senescence in temperate China. Global Change Biology, 28, 7366-7375(2022).

[2] ZHU Z C, PIAO S L, MYNENI R B et al. Greening of the earth and its drivers. Nature Climate Change, 6, 791-795(2016).

[3] McPherson R A. A review of vegetation—atmosphere interactions and their influences on mesoscale phenomena. Progress in Physical Geography： Earth and Environment, 31, 261-285(2007).

[4] BAO G, BAO Y H et al. NDVI-indicated long-term vegetation dynamics in Mongolia and their response to climate change at biome scale. International Journal of Climatology, 35, 4293-4306(2015).

[5] FU Y S, ZHAO H F, PIAO S L et al. Declining global warming effects on the phenology of spring leaf unfolding. Nature, 526, 104-107(2015).

[6] CHEN C, HE B, GUO L et al. Identifying critical climate periods for vegetation growth in the Northern Hemisphere. Journal of Geophysical Research： Biogeosciences, 123, 2541-2552(2018).

[7] MA Bingxin, HE Caixia, JING Juanli et al. Attribution of vegetation dynamics in Southwest China from 1982 to 2019. Acta Geographica Sinica, 78, 714-728(2023).

[8] BAO Yan, WEI Yuchen, Sulan NAN et al. Vegetation over the Qinghai-Xizang Plateau in response to climate change with a 2 ℃ Global Warming. Plateau Meteorology, 42, 49-59(2023).

[9] ZHAO J, HUANG S Z, HUANG Q et al. Time-lagged response of vegetation dynamics to climatic and teleconnection factors. Catena, 189, 104474(2020).

[10] ZHANG Q P, WANG J, WANG Q. Effects of abiotic factors on plant diversity and species distribution of alpine meadow plants. Ecological Informatics, 61, 101210(2021).

[11] GREEN J K, KONINGS A G, ALEMOHAMMAD S H et al. Regionally strong feedbacks between the atmosphere and terrestrial biosphere. Nature Geoscience, 10, 410-414(2017).

[12] PIAO S L, FANG J Y. Dynamic vegetation cover change over the last 18 years in China. Quaternary Sciences, 21, 294-302(2001).

[13] LINSCHEID N, ESTUPINAN-SUAREZ L M, BRENNING A et al. Towards a global understanding of vegetation–climate dynamics at multiple timescales. Biogeosciences, 17, 945-962(2020).

[14] DONG F, LI N, JIANG X et al. Spatiotemporal analysis of ve-getation changes along the belt and road initiative region from 1982 to 2015. IEEE Access, 8, 122579-122588(2020).

[15] ZHENG Hailiang, FANG Shifeng, LIU Chengcheng et al. Dynamics of monthly vegetation activity and its responses to climate change in the Qinghai-Tibet Plateau. Journal of Geo-information Science, 21, 201-214(2019).

[16] FENSHOLT R, PROUD S R. Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series. Remote Sensing of Environment, 119, 131-147(2012).

[17] WU Zehong, WANG Xiaoyue. Study on the phenology of typical grassland in China based on NDVI data and its impact on productivity. Remote Sensing Technology and Application, 40, 237-247(2025).

[18] ZHOU Yuke, LIU Jianwen. Spatio-temporal analysis of vegetation phenology with multiple methods over the Tibetan Plateau based on MODIS NDVI data. Remote Sensing Technology and Application, 33, 486-498(2018).

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

[20] GUO E, WANG Y, WANG C et al. NDVI indicates long-term dynamics of vegetation and its driving forces from climatic and anthropogenic factors in Mongolian Plateau. Remote Sensing, 13, 688(2021).

[21] RUNGE J, BATHIANY S, BOLLT E et al. Inferring causation from time series in earth system sciences. Nature Communications, 10(2019).

[22] RUNGE J, PETOUKHOV V, DONGES J F et al. Identifying causal gateways and mediators in complex spatio-temporal systems. Nature Communications, 6(2015).

[23] GRANGER C W J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424-438(1969).

[24] SILVA F N, VEGA OLIVEROS D A, YAN X et al. Detecting climate teleconnections with granger causality. Geophysical Research Letters, 48(2021).

[25] MATTHEWMAN N J, MAGNUSDOTTIR G. Observed Interaction between Pacific Sea Ice and the Western Pacific pattern on intraseasonal time scales. Journal of Climate, 24, 5031-5042(2011).

[26] KAUFMANN R K, ZHOU L, MYNENI R B et al. The effect of vegetation on surface temperature： A statistical analysis of NDVI and climate data. Geophysical Research Letters, 30(2003).

[27] MA H, LENG S, TAO C et al. Detection of time delays and directional interactions based on time series from complex dynamical systems. Physical Review E, 96, 12221(2017).

[28] SUGIHARA G, YE H et al. Detecting causality in complex ecosystems. Science, 338, 496-500(2012).

[29] TSONIS A A, DEYLE E R, MAY R M et al. Dynamical evidence for causality between galactic cosmic rays and interannual variation in global temperature. Proceedings of the National Academy of Sciences of the United States of America, 112, 3253-3256(2015).

[30] YU Y, SHANG G, DUAN S et al. Quantifying the influences of driving factors on land surface temperature during 2003–2018 in China using convergent cross mapping method. Remote Sensing, 14(2022).

[31] LUO L, CHENG F, QIU T et al. Refined convergent cross-mapping for disturbance propagation analysis of chemical processes. Computers & Chemical Engineering, 106, 1-16(2017).

[32] WANG Danyu, ZHU Yuanjun, YANG Xiaohui. Convergent cross mapping method and its application in ecology. Chinese Journal of Applied Ecology, 32, 4539-4548(2021).

[33] KRINNER G, VIOVY N, DE NOBLET-DUCOUDRÉ N et al. A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochemical Cycles, 19(2005).

[34] NI J, ZHANG X. Climate variability， ecological gradient and the Northeast China Transect （NECT）. Journal of Arid Environments, 46, 313-325(2000).

[35] LI X, ZHAO C, ZHOU X. Vegetation pattern of Northeast China during the special periods since the Last Glacial Maximum. Science China Earth Sciences, 62, 1224-1240(2019).

[36] LI Xiaoqiang, ZHAO Chao, ZHOU Xinye. Vegetation pattern of Northeast China during the special periods since the Last Glacial Maximum. Science China Earth Sciences, 49, 1213-1230(2019).

[37] ZHAO J, YAN X, GUO J et al. Evaluating spatial-temporal dynamics of Net Primary Productivity of different forest types in Northeastern China based on improved FORCCHN. PLOS ONE, 7(2012).

[38] JIA B, SUN H, SHUGART H H et al. Growth variations of Dahurian larch plantations across Northeast China： Understanding the effects of temperature and precipitation. Journal of Environmental Management, 292, 112739(2021).

[39] ZHAO J, WANG Y, ZHANG Z et al. The variations of land surface phenology in Northeast China and its responses to climate change from 1982 to 2013. Remote Sensing, 8, 400(2016).

[40] YUAN M, ZHAO L, LIN A et al. Impacts of preseason drought on vegetation spring phenology across the Northeast China transect. Science of the Total Environment, 738, 140297(2020).

[41] MAO Dehua, WANG Zongming, HAN Jixin et al. Analysis of spatiotemporal patterns and driving factors of vegetation NPP in Northeast China from 1982 to 2010. Scientia Geographica Sinica, 32, 1106-1111(2012).

[42] ZHOU Yuke. Analysis of controlling factors of vegetation productivity in Northeast China. Acta Geographica Sinica, 75, 53-67(2020).

[43] SHEN X, XUE Z, JIANG M et al. Spatiotemporal change of vegetation coverage and its relationship with climate change in freshwater marshes of Northeast China. Wetlands, 39, 429-439(2019).

[44] BECK H E, Mcvicar T R, VAN DIJK A I J M et al. Global evaluation of four AVHRR–NDVI data sets： Intercomparison and assessment against Landsat imagery. Remote Sensing of Environment, 115, 2547-2563(2011).

[45] WANG J, DONG J, YI Y et al. Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012. Journal of Geophysical Research： Biogeosciences, 122, 261-278(2017).

[46] THEIL H. A rank-invariant method of linear and polynomial regression analysis， Henri Theil’s contributions to economics and econometrics： Econometric theory and methodology, 23, 345-381(1992). https：//doi.org/10.1007/978-94-011-2546-8_20

[47] SEN P K. Estimates of the regression coefficient based on Kendall's Tau. Journal of the American Statistical Association, 63, 1379-1389(1968).

[48] KENDALL M G. Rank Correlation Methods(1948).

[49] MYERS-SMITH I H, KERBY J T, PHOENIX G K et al. Complexity revealed in the greening of the Arctic. Nature Climate Change, 10, 106-117(2020).

[50] MASIOL M, SQUIZZATO S, CHALUPA D C et al. Long-term trends in submicron particle concentrations in a metropolitan area of the Northeastern United States. Science of the Total Environment, 633, 59-70(2018).

[51] SUGIHARA G, GRENFELL B T, MAY R M et al. Nonlinear forecasting for the classification of natural time series. Philosophical Transactions of the Royal Society of London. Series A： Physical and Engineering Sciences, 348, 477-495(1994).

[52] DEYLE E R, MAHER M C, HERNANDEZ R D et al. Global environmental drivers of influenza. Proceedings of the National Academy of Sciences-PNAS, 113, 13081-13086(2016).

[53] PIAO S, HUNTINGFORD C et al. Evidence for a weakening relationship between interannual temperature variability and Northern vegetation activity. Nature Communications, 5, 5018(2014).

[54] R A Sr PIELKE, AVISSAR R, RAUPACH M et al. Interactions between the atmosphere and terrestrial ecosystems：Influence on weather and climate. Global Change Biology, 4, 461-475(1998).

[55] YU L, XUE Y, DIALLO I. Vegetation greening in China and its effect on summer regional climate. Science Bulletin, 66, 13-17(2021).

[56] ZENG Z, PIAO S, LI L Z X et al. Climate mitigation from vegetation biophysical feedbacks during the past three decades. Nature Climate Change, 7, 432-436(2017).

[57] GUO W, LIU H, WU X. Vegetation greening despite weakening coupling between vegetation growth and temperature over the Boreal Region. Journal of Geophysical Research： Biogeosciences, 123, 2376-2387(2018).

[58] MA S M, ZHOU T J, DAI A G et al. Observed changes in the distributions of daily precipitation frequency and amount over China from 1960 to 2013. Journal of Climate, 28, 6960-6978(2015).