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However, there is limited research investigating the response of vegetation in these regions to extreme climates and the associated time lag-accumulation relationships. This study utilized a combined approach of gradual and abrupt analysis to examine the spatiotemporal patterns of vegetation dynamics in the coastal provinces of China from 2000 to 2019. Additionally, we evaluated the time lag-accumulation response of vegetation to extreme climate events. The results showed that (1) extreme high temperatures and extreme precipitation had increased over the past two decades, with greater warming observed in high latitudes and concentrated precipitation increases in water-rich southern regions; (2) both gradual and abrupt analyses indicate significant vegetation improvement in coastal provinces; (3) significant lag-accumulation relationships were observed between vegetation and extreme climate in the coastal regions of China, and the time-accumulation effects were stronger than the time lag effects. The accumulation time of extreme temperatures was typically less than one month, and the accumulation time of extreme precipitation was 2\u20133 months. These findings are important for predicting the growth trend of coastal vegetation, understanding environmental changes, and anticipating ecosystem evolution.<\/jats:p>","DOI":"10.3390\/rs16030528","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T11:35:34Z","timestamp":1706614534000},"page":"528","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4035-3356","authenticated-orcid":false,"given":"Tong","family":"Dong","sequence":"first","affiliation":[{"name":"Key Laboratory of Coastal Science and Integrated Management, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Panxing","family":"He","sequence":"additional","affiliation":[{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9820-5853","authenticated-orcid":false,"given":"Mingjie","family":"Shi","sequence":"additional","affiliation":[{"name":"Xinjiang Key Laboratory of Soil and Plant Ecological Processes, College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4093-0048","authenticated-orcid":false,"given":"Yuan","family":"Chi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Coastal Science and Integrated Management, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Coastal Science and Integrated Management, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuting","family":"Hou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Coastal Science and Integrated Management, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feili","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Environment and Resources, Guangxi Normal University, Guilin 541000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dahai","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Coastal Science and Integrated Management, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.ufug.2017.05.005","article-title":"The social and economic value of cultural ecosystem services provided by urban forests in North America: A review and suggestions for future research","volume":"25","author":"Nesbitt","year":"2017","journal-title":"Urban For. Urban Green."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3725","DOI":"10.1073\/pnas.1519911113","article-title":"Global change and terrestrial plant community dynamics","volume":"113","author":"Franklin","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1111\/gcb.14884","article-title":"Interannual variation of terrestrial carbon cycle: Issues and perspectives","volume":"26","author":"Piao","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1038\/s43017-019-0001-x","article-title":"Characteristics, drivers and feedbacks of global greening","volume":"1","author":"Piao","year":"2020","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1922","DOI":"10.1111\/gcb.14619","article-title":"Plant phenology and global climate change: Current progresses and challenges","volume":"25","author":"Piao","year":"2019","journal-title":"Glob. Chang. Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1126\/science.343.6172.729","article-title":"Global warming and winter weather","volume":"343","author":"Wallace","year":"2014","journal-title":"Science"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"109799","DOI":"10.1016\/j.agrformet.2023.109799","article-title":"Impacts of record-breaking compound heatwave and drought events in 2022 China on vegetation growth","volume":"344","author":"Xu","year":"2024","journal-title":"Agric. For. Meteorol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e2023GL105453","DOI":"10.1029\/2023GL105453","article-title":"How Unusual Is the 2022 European Compound Drought and Heatwave Event?","volume":"50","author":"Tripathy","year":"2023","journal-title":"Geophys. Res. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"112505","DOI":"10.1016\/j.jenvman.2021.112505","article-title":"Spatiotemporal nexus between vegetation change and extreme climatic indices and their possible causes of change","volume":"289","author":"Islam","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"119579","DOI":"10.1016\/j.jenvman.2023.119579","article-title":"Assessing long-term trends in vegetation cover change in the Xilin River Basin: Potential for monitoring grassland degradation and restoration","volume":"349","author":"Zhou","year":"2024","journal-title":"J. Environ. Manag."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1002\/2017GL075922","article-title":"Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics across Dryland Ecosystems of Southwestern North America","volume":"45","author":"Smith","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2979","DOI":"10.1111\/gcb.13200","article-title":"Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests","volume":"22","author":"Walther","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.agrformet.2016.11.193","article-title":"Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites","volume":"233","author":"Wu","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"6974","DOI":"10.1111\/gcb.15349","article-title":"Using climate-driven leaf phenology and growth to improve predictions of gross primary productivity in North American forests","volume":"26","author":"Fang","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_15","first-page":"10456","article-title":"Global retrievals of solar induced chlorophyll fluorescence with TROPOMI: First results and inter-sensor comparison to OCO-2","volume":"45","author":"Frankenberg","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3990","DOI":"10.1111\/gcb.14297","article-title":"Solar-induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO-2 and flux tower observations","volume":"24","author":"Li","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2014.02.007","article-title":"Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2","volume":"147","author":"Frankenberg","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1002\/2015JG003150","article-title":"Drought onset mechanisms revealed by satellite solar-induced chlorophyll fluorescence: Insights from two contrasting extreme events","volume":"120","author":"Sun","year":"2015","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Wang, S., Huang, C., Zhang, L., Lin, Y., Cen, Y., and Wu, T. (2016). Monitoring and Assessing the 2012 Drought in the Great Plains: Analyzing Satellite-Retrieved Solar-Induced Chlorophyll Fluorescence, Drought Indices, and Gross Primary Production. Remote Sens., 8.","DOI":"10.3390\/rs8020061"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1007\/s11707-021-0891-z","article-title":"Combining gradual and abrupt analysis to detect variation of vegetation greenness on the loess areas of China","volume":"16","author":"He","year":"2022","journal-title":"Front. Earth Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"42516","DOI":"10.1007\/s11356-021-13721-z","article-title":"Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China","volume":"28","author":"He","year":"2021","journal-title":"Environ. Sci. Pollut. Res. Int."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1002\/joc.4420","article-title":"Extreme seasonal droughts and floods in Amazonia: Causes, trends and impacts","volume":"36","author":"Marengo","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ummenhofer, C.C., and Meehl, G.A. (2017). Extreme weather and climate events with ecological relevance: A review. Philos. Trans. R. Soc. Lond. B Biol. Sci., 372.","DOI":"10.1098\/rstb.2016.0135"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.rse.2018.05.018","article-title":"Increasing global vegetation browning hidden in overall vegetation greening: Insights from time-varying trends","volume":"214","author":"Pan","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.rse.2009.08.014","article-title":"Detecting trend and seasonal changes in satellite image time series","volume":"114","author":"Verbesselt","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.rse.2012.02.022","article-title":"Near real-time disturbance detection using satellite image time series","volume":"123","author":"Verbesselt","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.agrformet.2012.09.012","article-title":"Climate change, phenology, and phenological control of vegetation feedbacks to the climate system","volume":"169","author":"Richardson","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"8245","DOI":"10.1073\/pnas.0409902102","article-title":"Climate change threats to plant diversity in Europe","volume":"102","author":"Thuiller","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"104474","DOI":"10.1016\/j.catena.2020.104474","article-title":"Time-lagged response of vegetation dynamics to climatic and teleconnection factors","volume":"189","author":"Zhao","year":"2020","journal-title":"Catena"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1007\/s12665-016-6030-6","article-title":"Changes in climate extremes and their impact on wheat yield in Tianshan Mountains region, northwest China","volume":"75","author":"Li","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1038\/s41558-019-0630-6","article-title":"Increasing impacts of extreme droughts on vegetation productivity under climate change","volume":"9","author":"Xu","year":"2019","journal-title":"Nat. Clim. Chang."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1007\/s13157-015-0692-9","article-title":"Influences of Climate Extremes on NDVI (Normalized Difference Vegetation Index) in the Poyang Lake Basin, China","volume":"35","author":"Tan","year":"2015","journal-title":"Wetlands"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"105974","DOI":"10.1016\/j.ecolind.2019.105974","article-title":"Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015","volume":"111","author":"Ying","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.ecolind.2018.01.066","article-title":"Relationship between vegetation change and extreme climate indices on the Inner Mongolia Plateau, China, from 1982 to 2013","volume":"89","author":"Li","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"122396","DOI":"10.1016\/j.jclepro.2020.122396","article-title":"Assessing extreme climatic changes on a monthly scale and their implications for vegetation in Central Asia","volume":"271","author":"Luo","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"133459","DOI":"10.1016\/j.jclepro.2022.133459","article-title":"Impact of extreme climates on vegetation from multiple scales and perspectives in the Agro-pastural Transitional Zone of Northern China in the past three decades","volume":"372","author":"Jiang","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"105694","DOI":"10.1016\/j.catena.2021.105694","article-title":"Three-dimensional dynamic characteristics of vegetation and its response to climatic factors in the Qilian Mountains","volume":"208","author":"Ma","year":"2022","journal-title":"Catena"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.agrformet.2018.01.016","article-title":"Non-uniform time-lag effects of terrestrial vegetation responses to asymmetric warming","volume":"252","author":"Wen","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.rse.2013.08.022","article-title":"Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia","volume":"140","author":"Chen","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1073\/pnas.1207068110","article-title":"Response of vegetation to drought time-scales across global land biomes","volume":"110","author":"Gouveia","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1111\/j.1469-8137.2010.03355.x","article-title":"Remote sensing detection of droughts in Amazonian forest canopies","volume":"187","author":"Anderson","year":"2010","journal-title":"New Phytol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.ecolind.2016.10.024","article-title":"Climate legacy and lag effects on dryland plant communities in the southwestern U.S","volume":"74","author":"Bunting","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"3520","DOI":"10.1111\/gcb.12945","article-title":"Time-lag effects of global vegetation responses to climate change","volume":"21","author":"Wu","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.gloplacha.2019.03.010","article-title":"NDVI indicated inter-seasonal non-uniform time-lag responses of terrestrial vegetation growth to daily maximum and minimum temperature","volume":"177","author":"Wen","year":"2019","journal-title":"Glob. Planet. Chang."},{"key":"ref_45","first-page":"102179","article-title":"Global analysis of time-lag and -accumulation effects of climate on vegetation growth","volume":"92","author":"Ding","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_46","first-page":"e01751","article-title":"Analysis of the time-lag effects of climate factors on grassland productivity in Inner Mongolia","volume":"30","author":"Liu","year":"2021","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Wei, W., Liu, T., Zhou, L., Wang, J., Yan, P., Xie, B., and Zhou, J. (2023). Drought-Related Spatiotemporal Cumulative and Time-Lag Effects on Terrestrial Vegetation across China. Remote Sens., 15.","DOI":"10.3390\/rs15184362"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"107431","DOI":"10.1016\/j.ecolind.2021.107431","article-title":"Time-lag effects of NDVI responses to climate change in the Yamzhog Yumco Basin, South Tibet","volume":"124","author":"Zhe","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"167067","DOI":"10.1016\/j.scitotenv.2023.167067","article-title":"Grassland cover dynamics and their relationship with climatic factors in China from 1982 to 2021","volume":"905","author":"Liu","year":"2023","journal-title":"Sci. Total Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"373","DOI":"10.5194\/bg-12-373-2015","article-title":"Coincidences of climate extremes and anomalous vegetation responses: Comparing tree ring patterns to simulated productivity","volume":"12","author":"Rammig","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"149033","DOI":"10.1016\/j.scitotenv.2021.149033","article-title":"Ecosystem service multifunctionality assessment and coupling coordination analysis with land use and land cover change in China\u2019s coastal zones","volume":"797","author":"Liu","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"105888","DOI":"10.1016\/j.ecolind.2019.105888","article-title":"Greening and browning of the coastal areas in mainland China: Spatial heterogeneity, seasonal variation and its influential factors","volume":"110","author":"Meng","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.atmosres.2017.06.022","article-title":"Spatiotemporal variations and regional differences of extreme precipitation events in the Coastal area of China from 1961 to 2014","volume":"197","author":"Wang","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"140784","DOI":"10.1016\/j.scitotenv.2020.140784","article-title":"Vegetation responses to extreme climatic indices in coastal China from 1986 to 2015","volume":"744","author":"Xu","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Li, X., and Xiao, J. (2019). Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2. Remote Sens., 11.","DOI":"10.3390\/rs11212563"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"112062","DOI":"10.1016\/j.rse.2020.112062","article-title":"Synergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 U.S. drought","volume":"251","author":"Li","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"114947","DOI":"10.1016\/j.jenvman.2022.114947","article-title":"Response of vegetation ecosystems to flash drought with solar-induced chlorophyll fluorescence over the Hai River Basin, China during 2001\u20132019","volume":"313","author":"Yao","year":"2022","journal-title":"J. Environ. Manag."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"146965","DOI":"10.1016\/j.scitotenv.2021.146965","article-title":"Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products","volume":"783","author":"Zhang","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"57316","DOI":"10.1007\/s11356-023-26514-3","article-title":"Spatiotemporal variability characteristics of extreme climate events in Xinjiang during 1960\u20132019","volume":"30","author":"Dong","year":"2023","journal-title":"Environ. Sci. Pollut. Res. Int."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"105410","DOI":"10.1016\/j.envsoft.2022.105410","article-title":"Predicting the responses of boreal forests to climate-fire-vegetation interactions in Northeast China","volume":"153","author":"Huang","year":"2022","journal-title":"Environ. Model. Softw."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"110499","DOI":"10.1016\/j.ecolind.2023.110499","article-title":"Effects of temporal, spatial, and elevational variation in bioclimatic indices on the NDVI of different vegetation types in Southwest China","volume":"154","author":"Gong","year":"2023","journal-title":"Ecol. Indic."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"4719","DOI":"10.5194\/essd-14-4719-2022","article-title":"Colombian soil texture: Building a spatial ensemble model","volume":"14","year":"2022","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall\u2019s Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.jeconom.2004.05.014","article-title":"A nonparametric test for changing trends","volume":"127","author":"Juhl","year":"2005","journal-title":"J. Econom."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.3390\/rs5031117","article-title":"Shifts in Global Vegetation Activity Trends","volume":"5","author":"Verbesselt","year":"2013","journal-title":"Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"725427","DOI":"10.1155\/2015\/725427","article-title":"NDVI Variation and Its Responses to Climate Change on the Northern Loess Plateau of China from 1998 to 2012","volume":"2015","author":"Ning","year":"2015","journal-title":"Adv. Meteorol."},{"key":"ref_67","unstructured":"Intergovernmental Panel on Climate Change (2014). Climate Change 2014\u2014Impacts, Adaptation and Vulnerability: Part B: Regional Aspects: Working Group II Contribution to the IPCC Fifth Assessment Report: Volume 2: Regional Aspects, Cambridge University Press."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Intergovernmental Panel on Climate Change (2014). Climate Change 2013\u2014The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.","DOI":"10.1017\/CBO9781107415324"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.ecolind.2018.09.034","article-title":"Spatiotemporal variations of extreme climate events in Northeast China during 1960\u20132014","volume":"96","author":"Guo","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"156297","DOI":"10.1016\/j.scitotenv.2022.156297","article-title":"Climatology and changes in hourly precipitation extremes over China during 1970\u20132018","volume":"839","author":"Li","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"2399","DOI":"10.1007\/s00382-009-0735-0","article-title":"Changes in daily climate extremes in China and their connection to the large scale atmospheric circulation during 1961\u20132003","volume":"36","author":"You","year":"2011","journal-title":"Clim. Dyn."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.quaint.2014.03.060","article-title":"Changes in precipitation extremes over the Pearl River Basin, southern China, during 1960\u20132012","volume":"333","author":"Zhao","year":"2014","journal-title":"Quat. Int."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1029\/2005JD006290","article-title":"Global observed changes in daily climate extremes of temperature and precipitation","volume":"111","author":"Alexander","year":"2006","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"155154","DOI":"10.1016\/j.scitotenv.2022.155154","article-title":"Urban warming increases the temperature sensitivity of spring vegetation phenology at 292 cities across China","volume":"834","author":"Wang","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"17228","DOI":"10.1038\/s41598-023-42272-1","article-title":"Vegetation-environment interactions: Plant species distribution and community assembly in mixed coniferous forests of Northwestern Himalayas","volume":"13","author":"Rahman","year":"2023","journal-title":"Sci. Rep."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1002\/joc.1615","article-title":"Inter-decadal variation of the summer precipitation in East China and its association with decreasing Asian summer monsoon. Part I: Observed evidences","volume":"28","author":"Ding","year":"2008","journal-title":"Int. J. Climatol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1007\/s00704-012-0691-1","article-title":"Climatology of precipitation extremes in Estonia using the method of moving precipitation totals","volume":"111","author":"Tammets","year":"2013","journal-title":"Theor. Appl. Climatol."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.atmosres.2011.01.012","article-title":"A general perspective of extreme events in weather and climate","volume":"101","author":"Sura","year":"2011","journal-title":"Atmos. Res."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Gholamnia, M., Khandan, R., Bonafoni, S., and Sadeghi, A. (2019). Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran). Remote Sens., 11.","DOI":"10.3390\/rs11141723"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"2970","DOI":"10.1016\/j.rse.2010.08.003","article-title":"Phenological change detection while accounting for abrupt and gradual trends in satellite image time series","volume":"114","author":"Verbesselt","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/s41893-017-0004-x","article-title":"Increased vegetation growth and carbon stock in China karst via ecological engineering","volume":"1","author":"Tong","year":"2018","journal-title":"Nat. Sustain."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"1620","DOI":"10.1002\/ldr.3351","article-title":"Ecological engineering projects increased vegetation cover, production, and biomass in semiarid and subhumid Northern China","volume":"30","author":"Niu","year":"2019","journal-title":"Land Degrad. Dev."},{"key":"ref_83","first-page":"1957","article-title":"Variation characteristics of normalized difference vegetation index in Northwestern Sichuan Plateau and its response to extreme climate during 2001\u20132020","volume":"33","author":"Wang","year":"2022","journal-title":"Ying Yong Sheng Tai Xue Bao"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1007\/s11707-018-0747-3","article-title":"Spatiotemporal influences of land use\/cover changes on the heat island effect in rapid urbanization area","volume":"13","author":"Xiong","year":"2019","journal-title":"Front. Earth Sci."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"110214","DOI":"10.1016\/j.jenvman.2020.110214","article-title":"Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau","volume":"261","author":"Zhao","year":"2020","journal-title":"J. Environ. Manag."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s11120-013-9874-6","article-title":"Temperature response of photosynthesis in C3, C4, and CAM plants: Temperature acclimation and temperature adaptation","volume":"119","author":"Yamori","year":"2014","journal-title":"Photosynth. Res."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1111\/nph.17258","article-title":"Vertical decoupling of soil nutrients and water under climate warming reduces plant cumulative nutrient uptake, water-use efficiency and productivity","volume":"230","author":"Querejeta","year":"2021","journal-title":"New Phytol."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s10584-012-0562-x","article-title":"Response of rangeland vegetation to snow cover dynamics in Nepal Trans Himalaya","volume":"117","author":"Paudel","year":"2013","journal-title":"Clim. Chang."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1111\/geb.12183","article-title":"Diverse responses of forest growth to drought time-scales in the Northern Hemisphere","volume":"23","author":"Camarero","year":"2014","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"2596","DOI":"10.1111\/gcb.12588","article-title":"Changes in forest biomass and linkage to climate and forest disturbances over Northeastern China","volume":"20","author":"Zhang","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"108646","DOI":"10.1016\/j.ecolind.2022.108646","article-title":"Global assessment of lagged and cumulative effects of drought on grassland gross primary production","volume":"136","author":"Wei","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Jiang, W., Niu, Z., Wang, L., Yao, R., Gui, X., Xiang, F., and Ji, Y. (2022). Impacts of Drought and Climatic Factors on Vegetation Dynamics in the Yellow River Basin and Yangtze River Basin, China. Remote Sens., 14.","DOI":"10.3390\/rs14040930"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"116997","DOI":"10.1016\/j.jenvman.2022.116997","article-title":"Effects of drought and climate factors on vegetation dynamics in Central Asia from 1982 to 2020","volume":"328","author":"Liu","year":"2023","journal-title":"J. Environ. Manag."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"160527","DOI":"10.1016\/j.scitotenv.2022.160527","article-title":"Effects of climate change and human activities on vegetation coverage change in northern China considering extreme climate and time-lag and -accumulation effects","volume":"860","author":"Ma","year":"2023","journal-title":"Sci. Total Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/3\/528\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:51:39Z","timestamp":1760104299000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/3\/528"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,30]]},"references-count":94,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["rs16030528"],"URL":"https:\/\/doi.org\/10.3390\/rs16030528","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,30]]}}}