{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T07:55:17Z","timestamp":1768290917895,"version":"3.49.0"},"reference-count":80,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,13]],"date-time":"2018-03-13T00:00:00Z","timestamp":1520899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Research and Development Project","award":["2016YFA0602301"],"award-info":[{"award-number":["2016YFA0602301"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41771450\uff1b41501449"],"award-info":[{"award-number":["41771450\uff1b41501449"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["2412017FZ021"],"award-info":[{"award-number":["2412017FZ021"]}]},{"name":"the University of Missouri GIS Mission Enhancement Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Vegetation phenology plays a key role in terrestrial ecosystem nutrient and carbon cycles and is sensitive to global climate change. Compared with spring phenology, which has been well studied, autumn phenology is still poorly understood. In this study, we estimated the date of the end of the growing season (EOS) across the Greater Khingan Mountains, China, from 1982 to 2015 based on the Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index third-generation (NDVI3g) dataset. The temporal correlations between EOS and climatic factors (e.g., preseason temperature, preseason precipitation), as well as the correlation between autumn and spring phenology, were investigated using partial correlation analysis. Results showed that more than 94% of the pixels in the Greater Khingan Mountains exhibited a delayed EOS trend, with an average rate of 0.23 days\/y. Increased preseason temperature resulted in earlier EOS in most of our study area, except for the semi-arid grassland region in the south, where preseason warming generally delayed EOS. Similarly, EOS in most of the mountain deciduous coniferous forest, forest grassland, and mountain grassland forest regions was earlier associated with increased preseason precipitation, but for the semi-arid grassland region, increased precipitation during the preseason mainly led to delayed EOS. However, the effect of preseason precipitation on EOS in most of the Greater Khingan Mountains was stronger than that of preseason temperature. In addition to the climatic effects on EOS, we also found an influence of spring phenology on EOS. An earlier SOS led to a delayed EOS in most of the study area, while in the southern of mountain deciduous coniferous forest region and northern of semi-arid grassland region, an earlier SOS was often followed by an earlier EOS. These findings suggest that both climatic factors and spring phenology should be incorporated into autumn phenology models in order to improve prediction accuracy under present and future climate change scenarios.<\/jats:p>","DOI":"10.3390\/rs10030449","type":"journal-article","created":{"date-parts":[[2018,3,13]],"date-time":"2018-03-13T13:37:21Z","timestamp":1520948241000},"page":"449","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":67,"title":["Climate and Spring Phenology Effects on Autumn Phenology in the Greater Khingan Mountains, Northeastern China"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1231-1311","authenticated-orcid":false,"given":"Yuanyuan","family":"Fu","sequence":"first","affiliation":[{"name":"School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}]},{"given":"Hong","family":"He","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"},{"name":"School of Natural Resources, University of Missouri, Columbia, MO 65211, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0336-5764","authenticated-orcid":false,"given":"Jianjun","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}]},{"given":"David","family":"Larsen","sequence":"additional","affiliation":[{"name":"School of Natural Resources, University of Missouri, Columbia, MO 65211, USA"}]},{"given":"Hongyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geographical Sciences, Northeast Normal University, Changchun 130024, China"}]},{"given":"Michael","family":"Sunde","sequence":"additional","affiliation":[{"name":"School of Natural Resources, University of Missouri, Columbia, MO 65211, USA"}]},{"given":"Shengwu","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Natural Resources, University of Missouri, Columbia, MO 65211, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1038\/nature06444","article-title":"Net carbon dioxide losses of northern ecosystems in response to autumn warming","volume":"451","author":"Piao","year":"2008","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.rse.2014.03.001","article-title":"Modeling growing season phenology in north american forests using seasonal mean vegetation indices from modis","volume":"147","author":"Wu","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1038\/nature15402","article-title":"Declining global warming effects on the phenology of spring leaf unfolding","volume":"526","author":"Fu","year":"2015","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1111\/geb.12210","article-title":"Recent spring phenology shifts in western central europe based on multiscale observations","volume":"23","author":"Fu","year":"2014","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.tree.2015.01.004","article-title":"Autumn, the neglected season in climate change research","volume":"30","author":"Gallinat","year":"2015","journal-title":"Trends Ecol. Evol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1111\/gcb.12804","article-title":"Alteration of the phenology of leaf senescence and fall in winter deciduous species by climate change: Effects on nutrient proficiency","volume":"21","author":"Estiarte","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1111\/j.1466-8238.2011.00675.x","article-title":"Extension of the growing season due to delayed autumn over mid and high latitudes in north america during 1982\u20132006","volume":"21","author":"Zhu","year":"2012","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3457","DOI":"10.1111\/gcb.12625","article-title":"Strong contribution of autumn phenology to changes in satellite\u2014Derived growing season length estimates across europe (1982\u20132011)","volume":"20","author":"Garonna","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3702","DOI":"10.1111\/gcb.13311","article-title":"Delayed autumn phenology in the northern hemisphere is related to change in both climate and spring phenology","volume":"22","author":"Liu","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1111\/gcb.13081","article-title":"Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate china","volume":"22","author":"Liu","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_11","first-page":"744","article-title":"Spatial variations in responses of vegetation autumn phenology to climate change on the tibetan plateau","volume":"10","author":"Cong","year":"2016","journal-title":"J. Plant Ecol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.agrformet.2017.12.259","article-title":"Predicting autumn phenology: How deciduous tree species respond to weather stressors","volume":"250","author":"Xie","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1093\/treephys\/tpr038","article-title":"Temperature signals contribute to the timing of photoperiodic growth cessation and bud set in poplar","volume":"31","author":"Rohde","year":"2011","journal-title":"Tree Physiol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3138","DOI":"10.1111\/gcb.12919","article-title":"Temperature alone does not explain phenological variation of diverse temperate plants under experimental warming","volume":"21","author":"Marchin","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7355","DOI":"10.1073\/pnas.1321727111","article-title":"Variation in leaf flushing date influences autumnal senescence and next year\u2019s flushing date in two temperate tree species","volume":"111","author":"Fu","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.1111\/j.1365-2486.2009.01910.x","article-title":"Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982\u20132006","volume":"15","author":"White","year":"2009","journal-title":"Glob. Chang. Biol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1093\/jpe\/rtm005","article-title":"Remote sensing imagery in vegetation mapping: A review","volume":"1","author":"Xie","year":"2008","journal-title":"J. Plant Ecol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.3390\/rs6032024","article-title":"Comparison of eight techniques for reconstructing multi-satellite sensor time-series ndvi data sets in the heihe river basin, China","volume":"6","author":"Geng","year":"2014","journal-title":"Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Militino, A.F., Ugarte, M.D., and P\u00e9rez-Goya, U. (2017). Stochastic spatio-temporal models for analysing ndvi distribution of gimms ndvi3g images. Remote Sens., 9.","DOI":"10.3390\/rs9010076"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.agrformet.2014.01.003","article-title":"Increasing altitudinal gradient of spring vegetation phenology during the last decade on the qinghai\u2013tibetan plateau","volume":"189","author":"Shen","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"6929","DOI":"10.3390\/rs6086929","article-title":"A non-stationary 1981\u20132012 avhrr ndvi3g time series","volume":"6","author":"Pinzon","year":"2014","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"927","DOI":"10.3390\/rs5020927","article-title":"Global data sets of vegetation leaf area index (lai) 3g and fraction of photosynthetically active radiation (fpar) 3g derived from global inventory modeling and mapping studies (gimms) normalized difference vegetation index (ndvi3g) for the period 1981 to 2011","volume":"5","author":"Zhu","year":"2013","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1111\/j.1365-2486.2005.00974.x","article-title":"Spatial and temporal variation of phenological growing season and climate change impacts in temperate eastern china","volume":"11","author":"Chen","year":"2005","journal-title":"Glob. Chang. Biol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1111\/j.1365-2486.2006.01123.x","article-title":"Variations in satellite-derived phenology in china\u2019s temperate vegetation","volume":"12","author":"Piao","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1038\/ngeo823","article-title":"Climate science: Decadal predictions in demand","volume":"3","author":"Cane","year":"2010","journal-title":"Nat. Geosci."},{"key":"ref_26","unstructured":"Zheng, D., Yang, Q., Wu, S., and Li, B. (2008). The Systematic Research of Chinese Eco-Geographical Area, The Commercial Press. [1st ed.]."},{"key":"ref_27","first-page":"500","article-title":"Accuracy evaluation of the ims snow and ice products in stable snow covers regions in china","volume":"36","author":"Liu","year":"2014","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"10973","DOI":"10.3390\/rs70810973","article-title":"Spatial and temporal changes in vegetation phenology at middle and high latitudes of the northern hemisphere over the past three decades","volume":"7","author":"Zhao","year":"2015","journal-title":"Remote Sens."},{"key":"ref_29","unstructured":"Hutchinson, M.F., and Xu, T. (2004). Anusplin Version 4.3 User Guide, Centre for Resource and Environmental Studies, The Australian National University."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Dong, T., Liu, J., Shang, J., Qian, B., Huffman, T., Zhang, Y., Champagne, C., and Daneshfar, B. (2016). Assessing the impact of climate variability on cropland productivity in the canadian prairies using time series modis fapar. Remote Sens., 8.","DOI":"10.3390\/rs8040281"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1007\/s10530-015-1025-x","article-title":"Non-native and native organisms moving into high elevation and high latitude ecosystems in an era of climate change: New challenges for ecology and conservation","volume":"18","author":"Pauchard","year":"2016","journal-title":"Biol. Invasions"},{"key":"ref_32","first-page":"927","article-title":"Gis-based spatializing method for estimating snow cover depth in northeast china and its nabes","volume":"29","author":"Zhao","year":"2012","journal-title":"Arid Zone Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"E2329","DOI":"10.1073\/pnas.1304625110","article-title":"No evidence of continuously advanced green-up dates in the tibetan plateau over the last decade","volume":"110","author":"Shen","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Eklundh, L., and J\u00f6nsson, P. (2015). Timesat: A software package for time-series processing and assessment of vegetation dynamics. Remote Sensing Time Series, Springer.","DOI":"10.1007\/978-3-319-15967-6_7"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.rse.2012.04.001","article-title":"Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology","volume":"123","author":"Atkinson","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/LGRS.2007.907971","article-title":"An algorithm to produce temporally and spatially continuous modis-lai time series","volume":"5","author":"Gao","year":"2008","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/s00484-006-0080-5","article-title":"A comparative study of satellite and ground-based phenology","volume":"51","author":"Studer","year":"2007","journal-title":"Int. J. Biometeorol."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Zheng, Z., and Zhu, W. (2017). Uncertainty of remote sensing data in monitoring vegetation phenology: A comparison of modis c5 and c6 vegetation index products on the tibetan plateau. Remote Sens., 9.","DOI":"10.3390\/rs9121288"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1016\/j.rse.2010.01.021","article-title":"The use of meris terrestrial chlorophyll index to study spatio-temporal variation in vegetation phenology over india","volume":"114","author":"Dash","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3190","DOI":"10.3390\/rs5073190","article-title":"Remote sensing based detection of crop phenology for agricultural zones in china using a new threshold method","volume":"5","author":"You","year":"2013","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Zhao, J., Wang, Y., Zhang, Z., Zhang, H., Guo, X., Yu, S., Du, W., and Huang, F. (2016). The variations of land surface phenology in northeast china and its responses to climate change from 1982 to 2013. Remote Sens., 8.","DOI":"10.3390\/rs8050400"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"11914","DOI":"10.3390\/rs70911914","article-title":"Variability and climate change trend in vegetation phenology of recent decades in the greater khingan mountain area, Northeastern China","volume":"7","author":"Tang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_43","first-page":"25","article-title":"Vegetation phenology in the tibetan plateau using modis data from 2000 to 2010","volume":"29","author":"Liu","year":"2014","journal-title":"Remote Sens. Inf."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.rse.2017.07.020","article-title":"The relationship between threshold-based and inflexion-based approaches for extraction of land surface phenology","volume":"199","author":"Shang","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.agrformet.2014.09.009","article-title":"An improved logistic method for detecting spring vegetation phenology in grasslands from modis evi time-series data","volume":"200","author":"Cao","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.rse.2011.10.006","article-title":"Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology","volume":"117","author":"Hufkens","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_47","first-page":"653","article-title":"Assessment of desertification using time series analysis of hyper-temporal vegetation indicator in inner mongolia","volume":"66","author":"Yin","year":"2011","journal-title":"Acta Geogr. Sin."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/S0022-1694(01)00594-7","article-title":"Power of the mann\u2013kendall and spearman\u2019s rho tests for detecting monotonic trends in hydrological series","volume":"259","author":"Yue","year":"2002","journal-title":"J. Hydrol."},{"key":"ref_49","first-page":"1170","article-title":"Advance and evaluation in the long time series vegetation trends research based on remote sensing","volume":"13","author":"Cai","year":"2009","journal-title":"J. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1111\/gcb.12778","article-title":"Changes in autumn vegetation dormancy onset date and the climate controls across temperate ecosystems in china from 1982 to 2010","volume":"21","author":"Yang","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"3303","DOI":"10.1080\/01431160310001618149","article-title":"European plant phenology and climate as seen in a 20-year avhrr land-surface parameter dataset","volume":"25","author":"Vidale","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"24","DOI":"10.2747\/1548-1603.43.1.24","article-title":"Trend analysis of time-series phenology of north america derived from satellite data","volume":"43","author":"Reed","year":"2006","journal-title":"Gisci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1175\/JHM-386.1","article-title":"A global dataset of palmer drought severity index for 1870\u20132002: Relationship with soil moisture and effects of surface warming","volume":"5","author":"Dai","year":"2004","journal-title":"J. Hydrometeorol."},{"key":"ref_54","first-page":"68","article-title":"Causes, south borderline and subareas of permafrost in da hinggan mountains and xiao hinggan mountains","volume":"27","author":"Sun","year":"2007","journal-title":"Sci. Geogr. Sin."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1046\/j.1440-1703.2002.00506.x","article-title":"Importance of permafrost as a source of water for plants in east siberian taiga","volume":"17","author":"Sugimoto","year":"2002","journal-title":"Ecol. Res."},{"key":"ref_56","first-page":"6037","article-title":"Probing the past 30-year phenology trend of us deciduous forests","volume":"12","author":"Yue","year":"2015","journal-title":"Biogeosci. Discuss."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.wace.2015.08.001","article-title":"Temperature extremes: Effect on plant growth and development","volume":"10","author":"Hatfield","year":"2015","journal-title":"Weather Clim. Extremes"},{"key":"ref_58","first-page":"875","article-title":"Simulation of influence of climate change on vegetation physiological process and feedback effect in gaize region","volume":"29","author":"Hua","year":"2010","journal-title":"Plateau Meteorol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev.es.20.110189.000245","article-title":"Environmental factors and ecological processes in boreal forests","volume":"20","author":"Bonan","year":"1989","journal-title":"Annu. Rev. Ecol. Syst."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1016\/j.agrformet.2008.11.014","article-title":"Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in france","volume":"149","author":"Delpierre","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Shi, C., Sun, G., Zhang, H., Xiao, B., Ze, B., Zhang, N., and Wu, N. (2014). Effects of warming on chlorophyll degradation and carbohydrate accumulation of alpine herbaceous species during plant senescence on the tibetan plateau. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0107874"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.1104\/pp.108.133249","article-title":"The control of autumn senescence in european aspen","volume":"149","author":"Fracheboud","year":"2009","journal-title":"Plant Physiol."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Schwartz, M.D. (2013). Phenology: An Integrative Environmental Science, Springer.","DOI":"10.1007\/978-94-007-6925-0"},{"key":"ref_64","unstructured":"Hartmann, D.L., Klein Tank, A.M., Rusticucci, M., Alexander, L.V., Br\u00f6nnimann, S., Charabi, Y.A.R., Dentener, F.J., Dlugokencky, E.J., Easterling, D.R., and Kaplan, A. (2013). Climate Change 2013 the Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1038\/44842","article-title":"Water stress inhibits plant photosynthesis by decreasing coupling factor and atp","volume":"401","author":"Tezara","year":"1999","journal-title":"Nature"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1038\/nature11056","article-title":"Extended leaf phenology and the autumn niche in deciduous forest invasions","volume":"485","author":"Fridley","year":"2012","journal-title":"Nature"},{"key":"ref_67","first-page":"62","article-title":"A summery of impacts of climate charges on the ecosystems of China","volume":"19","author":"Zhong","year":"2000","journal-title":"Chin. J. Ecol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1111\/1365-2664.12644","article-title":"The impacts of climate change and disturbance on spatio-temporal trajectories of biodiversity in a temperate forest landscape","volume":"54","author":"Thom","year":"2017","journal-title":"J. Appl. Ecol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1146\/annurev.arplant.57.032905.105316","article-title":"Leaf senescence","volume":"58","author":"Lim","year":"2007","journal-title":"Annu. Rev. Plant Biol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"365","DOI":"10.2307\/2937116","article-title":"Leaf life-span in relation to leaf, plant, and stand characteristics among diverse ecosystems","volume":"62","author":"Reich","year":"1992","journal-title":"Ecol. Monogr."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"024027","DOI":"10.1088\/1748-9326\/8\/2\/024027","article-title":"Earlier springs decrease peak summer productivity in north american boreal forests","volume":"8","author":"Buermann","year":"2013","journal-title":"Environ. Res. Lett."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.1111\/j.1365-2486.2012.02712.x","article-title":"Ecological impacts of a widespread frost event following early spring leaf-out","volume":"18","author":"Hufkens","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"2071","DOI":"10.1111\/j.1365-2486.2010.02370.x","article-title":"Rapid northwards expansion of a forest insect pest attributed to spring phenology matching with sub-arctic birch","volume":"17","author":"Jepsen","year":"2011","journal-title":"Glob. Chang. Biol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"3689","DOI":"10.1080\/01431161003762405","article-title":"Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements","volume":"32","author":"Atzberger","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Kern, A., Marjanovi\u0107, H., and Barcza, Z. (2016). Evaluation of the quality of ndvi3g dataset against collection 6 modis ndvi in central europe between 2000 and 2013. Remote Sens., 8.","DOI":"10.3390\/rs8110955"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.isprsjprs.2014.04.004","article-title":"Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data","volume":"93","author":"Jia","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"054008","DOI":"10.1088\/1748-9326\/aa6ad9","article-title":"Impacts of wildfires on interannual trends in land surface phenology: An investigation of the hayman fire","volume":"12","author":"Wang","year":"2017","journal-title":"Environ. Res. Lett."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1038\/nature13207","article-title":"Elevated CO2 further lengthens growing season under warming conditions","volume":"510","author":"Reyesfox","year":"2014","journal-title":"Nature"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.1073\/pnas.77.4.2050","article-title":"Changes in the abscisic acid content of oat leaves during senescence","volume":"77","author":"Gepstein","year":"1980","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Kim, J.-H., Moon, Y.R., Wi, S.G., Kim, J.-S., Lee, M.H., and Chung, B.Y. (2008). Differential radiation sensitivities of arabidopsis plants at various developmental stages. Photosynthesis. Energy from the Sun, Springer.","DOI":"10.1007\/978-1-4020-6709-9_320"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/3\/449\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:56:47Z","timestamp":1760194607000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/3\/449"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,13]]},"references-count":80,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,3]]}},"alternative-id":["rs10030449"],"URL":"https:\/\/doi.org\/10.3390\/rs10030449","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,13]]}}}