Abstract
Studying the shifts of vegetation phenology and the response of vegetation phenology to climate change helps to understand the dynamics of future ecosystems. However, since previous studies mostly focused on temperate ecosystems, much less is known about the biogeographic phenological shifts in sub-tropical regions, which have abundant biodiversity. The Yangtze River Basin (YRB) is located in the subtropical region of China and has abundant natural resources, a large population, and rapid economic development. Studying the variation characteristics of phenology and its responses to recent climate changes in YRB are important for understanding the impact of regional climate on subtropical ecosystems. In this study, we extracted the phenological parameters using Global Inventory Modeling and Mapping Studies (GIMMS) data to investigate the spatial and temporal variations of vegetation phenology across YRB during 1982–2015 and to examine how vegetation phenology responds to climate within different ecological zones. The results revealed that the start of growing season (SOS) was significantly advanced by 0.2 days/year (p < 0.01). However, there has been no significant trend in the end of growing season (EOS) throughout the whole study area for the past 34 years. The spatial pattern of the phenology metrics showed a high spatial heterogeneity: the SOS in the central YRB was earlier than that in other regions; the EOS in the southeast YRB was later than that in any other regions. Meanwhile, the SOS had a higher correlation with temperature than with precipitation. In particular, the spring temperature had a strong impact on the SOS and the effects of winter temperatures cannot be ignored. Although there were no significant correlations between the EOS and precipitation/temperature, it is interesting to note that when examining the interactions between phonological parameters, the EOS was positively correlated with the SOS. Furthermore, the pre-season temperature had a lag effect on the SOS, but no significant lag effect was observed for the EOS in YRB. In all, the present study can enhance our understanding of phenology dynamics and its relationship with climate in YRB and provide a useful reference to put forward a corresponding ecological protection policy.
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References
Barr AG, Black TA, Hogg EH, Kljun N, Morgenstern K, Nesic Z (2004) Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production. Agric For Meteorol 126:237–255
Bigras FJ, D'Aoust AL (1993) Influence of photoperiod on shoot and root frost tolerance and bud phe. Can J For Res 23:219–228
Bradley AV, Gerard FF, Barbier N, Weedon GP, Anderson LO, Huntingford C, Arai E (2011) Relationships between phenology, radiation and precipitation in the Amazon region. Glob Chang Biol 17:2245–2260
Bronson DR, Gower ST, Tanner M, Van Herk I (2009) Effect of ecosystem warming on boreal black spruce bud burst and shoot growth. Glob Chang Biol 15:1534–1543
Buitenwerf R, Rose L, Higgins SI (2015) Three decades of multi-dimensional change in global leaf phenology. Nat Clim Chang 5(4):364–368
Chen J, Jönsson P, Tamura M, Gu Z, Matsushita B, Eklundh L (2004) A simple method for reconstructing a high–quality ndvi time–series data set based on the Savitzky–Golay filter. Remote Sens Environ 91:332–344
Chen X, Wang L, Inouye D (2017) Delayed response of spring phenology to global warming in subtropics and tropics. Agric For Meteorol 234:222–235
Chuine I, Cour P (1999) Climatic determinants of budburst seasonality in four temperate-zone tree species. New Phytol 143:339–349
Cleland EE, Allen JM, Crimmins TM, Dunne JA, Pau S, Travers SE, Wolkovich EM (2012) Phenological tracking enables positive species responses to climate change. Ecology 93(8):1765–1771
Cleland EE, Chuine I, Menzel A, Mooney HA, Schwartz MD (2007) Shifting plant phenology in response to global change. Trends Ecol Evol 22:357–365
Cong N, Wang T, Nan H, Ma Y, Wang X, Myneni RB, Piao SL (2013) Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis. Glob Chang Biol 19:881–891
Danby RK, HIK DS (2007) Responses of white spruce (Picea glauca) to experimental warming at a subarctic alpine tree-line. Glob Chang Biol 13:437–451
Dubovyk O, Landmann T, Erasmus BF, Tewes A, Schellberg J (2015) Monitoring vegetation dynamics with medium resolution MODIS-EVI time series at sub-regional scale in southern Africa. Int J Appl Earth Obs 38:175–183
Farr TG, Rosen PA, Caro E, Crippen R, Duren R, Hensley S (2007) The shuttle radar topography mission. Rev Geophys 45. https://doi.org/10.1029/2005RG000183
Fatichi S, Leuzinger S, Körner C (2014) Moving beyond photosynthesis: from carbon source to sink-driven vegetation modeling. New Phytol 201:1086–1095
Fracheboud Y, Luquez V, Björkén L, Sjödin A, Tuominen H, Jansson S (2009) The control of autumn senescence in European aspen. Plant Physiol 149:1982–1991
Fu BJ, Liu GH, Chen LD, Ma KM, Li JR (2001) Scheme of ecological regionalization in China. Acta Ecol Sin 21:1–6
Fu Y, He HS, Zhao J, Larsen DR, Zhang H, Sunde MG, Duan S (2018) Climate and spring phenology effects on autumn phenology in the greater Khingan Mountains. Northeastern China Remote Sens 10(3):449
Fu YS, Campioli M, Vitasse Y, De Boeck HJ, Van den Berge J, AbdElgawad H, Janssens IA (2014) Variation in leaf flushing date influences autumnal senescence and next year’s flushing date in two temperate tree species. P Natl Acad Sci USA 111:7355–7360
Gocic M, Trajkovic S (2013) Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia. Glob Planet Chang 100:172–182
Gonsamo A, Chen JM, Price DT, Kurz WA, Wu C (2012) Land surface phenology from optical satellite measurement and CO2 eddy covariance technique. J Geophys Res 117:1472–1472
Hamilton, J.A., El Kayal, W., Hart, A.T., Runcie, D.E., Arango-Velez, A., Cooke, J.E., 2016. The joint influence of photoperiod and temperature during growth cessation and development of dormancy in white spruce (Picea glauca). Tree Physiol 36, 1432–1448.
Hänninen H, Tanino K (2011) Tree seasonality in a warming climate. Trends Plant Sci 16:412–416
Hartmann DL, Tank AMK, Rusticucci M, Alexander LV, Brönnimann S, Charabi YAR, Soden BJ (2013) Observations: atmosphere and surface. In: 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, Cambridge
Hufkens K, Friedl MA, Keenan TF, Sonnentag O, Bailey A, O'keefe J, Richardson AD (2012) Ecological impacts of a widespread frost event following early spring leaf–out. Glob Chang Biol 18:2365–2377
Jepsen JU, Kapari L, Hagen SB, Schott T, Vindstad OPL, Nilssen AC, Ims RA (2011) Rapid northwards expansion of a forest insect pest attributed to spring phenology matching with sub-Arctic birch. Glob Chang Biol 17(6):2071–2083
Julien Y, Sobrino JA (2009) Global land surface phenology trends from GIMMS database. Int J Remote Sens 30:3495–3513
Karlsen SR, Solheim I, Beck PS, Høgda KA, Wielgolaski FE, Tømmervik H (2007) Variability of the start of the growing season in fennoscandia, 1982–2002. Int J Biometeorol 51:513–524
Keenan TF, Gray J, Friedl MA, Toomey M, Bohrer G, Hollinger DY, Yang B (2014) Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nat Clim Chang 4(7):598–604
Keskitalo J, Bergquist G, Gardeström P, Jansson SA (2005) Cellular timetable of autumn senescence. Plant Physiol 139:1635–1648
Körner C, Basler D (2010) Phenology under global warming. Science 327:1461–1462
Kramer K, Leinonen I, Loustau D (2000) The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: an overview. Int J Biometeorol 44:67–75
Lam E (2004) Controlled cell death, plant survival and development. Nature 5:305
Li P, Peng C, Wang M, Luo Y, Li M, Zhang K, Zhu Q (2018) Dynamics of vegetation autumn phenology and its response to multiple environmental factors from 1982 to 2012 on Qinghai-Tibetan plateau in China. Sci Total Environ 637:855–864
Liu L, Monaco TA, Sun F, Liu W, Gan Y, Sun G (2017) Altered precipitation patterns and simulated nitrogen deposition effects on phenology of common plant species in a tibetan plateau alpine meadow. Agric For Meteorol 236:36–47
Liu Q, Fu YH, Zhu Z, Liu Y, Liu Z, Huang M (2016b) Delayed autumn phenology in the northern hemisphere is related to change in both climate and spring phenology. Glob Chang Biol 22:3702–3711
Liu Q, Fu YH, Zeng Z, Huang M, Li X, Piao SL (2016a) Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Glob Chang Biol 22:644–655
Luo X, Chen X, Wang L, Xu L, Tian Y (2014) Modeling and predicting spring land surface phenology of the deciduous broadleaf forest in northern China. Agric For Meteorol 198:33–41
Luo Z, Yu S (2017) Spatiotemporal variability of land surface phenology in China from 2001–2014. Remote Sens 9. https://doi.org/10.3390/rs9010065
Ma X, Huete A, Yu Q, Coupe NR, Davies K, Broich M, Boulain N (2013) Spatial patterns and temporal dynamics in savanna vegetation phenology across the north Australian tropical transect. Remote Sens of Environ 139:97–115
Menzel A, Fabian P (1999) Growing season extended in europe. Nature 397:659
Menzel A, Sparks TH, Estrella N, Koch E, Aasa A, Ahas R (2006) European phenological response to climate change matches the warming pattern. Glob Chang Biol 12:1969–1976
Mo F, Zhang J, Wang J, Cheng ZG, Sun GJ, Ren HX, Xiong YC (2017) Phenological evidence from China to address rapid shifts in global flowering times with recent climate change. Agric For Meteorol 246:22–30
Mo F, Zhao H, Wang JY, Qian SC, Zhou H, Wang SM, Xiong YC (2011) The key issues on plant phenology under global change. Acta Ecol Sin 31:2593–2601
Peñuelas J, Rutishauser T, Filella I (2009) Phenology feedbacks on climate change. Science 324:887–888
Piao SL, Cui M, Chen A, Wang X, Ciais P, Liu J, Tang Y (2011) Altitude and temperature dependence of change in the spring vegetation green–up date from 1982 to 2006 in the Qinghai–xizang plateau. Agric For Meteorol 151:1599–1608
Piao SL, Mohammat A, Fang J, Cai Q (2006) Ndvi–based increase in growth of temperate grasslands and its responses to climate changes in China. Glob Environ Chang 16:340–348
Potter CS, Brooks V (1998) Global analysis of empirical relations between annual climate and seasonality of NDVI. Int J Remote Sens 19:2921–2948
Prevéy JS, Seastedt TR (2015) Seasonality of precipitation interacts with exotic species to alter composition and phenology of a semi-arid grassland. J Ecol 102:1549–1561
Pudas E, Leppälä M, Tolvanen A, Poikolainen J, Venäläinen A, Kubin E (2008) Trends in phenology of Betula pubescens across the boreal zone in Finland. Int J Biometeorol 52:251–259
Qiu B, Zhong M, Tang Z, Chen C (2013) Spatiotemporal variability of vegetation phenology with reference to altitude and climate in the subtropical mountain and hill region, China. Chin Sci Bull 58(23):2883–2892
Richardson AD, Anderson RS, Arain MA, Barr AG, Bohrer G, Chen G, Dietze MC (2012) Terrestrial biosphere models need better representation of vegetation phenology: results from the north a merican carbon program site synthesis. Glob Chang Biol 18(2):566–584
Shen M, Piao S, Cong N, Zhang G, Jassens IA (2015) Precipitation impacts on vegetation spring phenology on the Tibetan plateau. Glob Chang Biol 21:3647–3656
Shen M, Tang Y, Chen J, Zhu X, Zheng Y (2011) Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai–Tibetan plateau. Agric For Meteorol 151:1711–1722
Shen X, Liu B, Henderson M, Wang L, Wu Z, Wu H, Lu X (2018) Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China. Agric For Meteorol 259:240–249
Shi C, Sun G, Zhang H, Xiao B, Ze B, Zhang N, 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. https://doi.org/10.1371/journal.pone.0107874
Stinziano JR, Way DA (2017) Autumn photosynthetic decline and growth cessation in seedlings of white spruce are decoupled under warming and photoperiod manipulations. Plant Cell Environ doi 40:1296–1316. https://doi.org/10.1111/pce.12917
Stöckli R, Vidale PL (2004) European plant phenology and climate as seen in a 20–year avhrr land–surface parameter dataset. Int J Remote Sens 25:3303–3330
Suepa T, Qi J, Lawawirojwong S, Messina JP (2016) Understanding spatio-temporal variation of vegetation phenology and rainfall seasonality in the monsoon Southeast Asia. Environ Res 147:621–629
Tucker CJ, Pinzon JE, Brown ME, Slayback DA, Pak EW, Mahoney R, El Saleous N (2005) An extended AVHRR 8km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int J Remote Sens 26:4485–4498
Tylewicz, S., Petterle, A., Marttila, S., Miskolczi, P., Azeez, A., Singh, R.K., Bowman, J.L., 2018. Photoperiodic control of seasonal growth is mediated by ABA acting on cell-cell communication. Science, eaan8576.
Wang H, Dai J, Zheng J, Ge Q (2015) Temperature sensitivity of plant phenology in temperate and subtropical regions of China from 1850 to 2009. Int J Climatol 35(6):913–922
Wang S, Wang X, Chen G, Yang Q, Wang B, Ma Y, Shen M (2017) Complex responses of spring alpine vegetation phenology to snow cover dynamics over the Tibetan plateau. China Sci Total Environ 593:449–461
Wareing PF (2003) Photoperiodism in woody plants. Annu Rev Plant Physiol 7:191–214
White MA, de Beurs KM, Didan K, Inouye DW, Richardson AD, Jensen OP, O’Keefe J, Zhang G, Nemani RR (2009) Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006. Glob Chang Biol 15:2335–2359
Wu C, Chen JM, Gonsamo A, Price DT, Black TA, Kurz WA (2012) Interannual variability of net carbon exchange is related to the lag between the end-dates of net carbon uptake and photosynthesis: evidence from long records at two contrasting forest stands. Agric For Meteorol 164:29–38
Wu C, Hou X, Peng D, Gonsamo A, Xu S (2016) Land surface phenology of China's temperate ecosystems over 1999–2013: spatial–temporal patterns, interaction effects, covariation with climate and implications for productivity. Agric For Meteorol 216:177–187
Wu WB, Peng Y, Tang HJ, Zhou QB, Chen ZX, Shibasaki R (2010) Characterizing spatial patterns of phenology in cropland of China based on remotely sensed data. J Integr Agric 9:101–112
Yan D, Zhang X, Yu Y, Guo W (2017) Characterizing land cover impacts on the responses of land surface phenology to the rainy season in the Congo Basin. Remote Sens 9. https://doi.org/10.3390/rs9050461
Yang Y, Guan H, Shen M, Liang W, Jiang L (2015) Changes in autumn vegetation dormancy onset date and the climate controls across temperate ecosystems in China from 1982 to 2010. Glob Chang Biol 21(2):652–665
You X, Meng J, Zhang M, Dong T (2013) Remote sensing based detection of crop phenology for agricultural zones in China using a new threshold method. Remote Sens 5(7):3190–3211
Yu H, Luedeling E, Xu J (2010) Winter and spring warming result in delayed spring phenology on the Tibetan plateau. P Natl Acad Sci USA 107(51):22151–22156
Yu L, Liu T, Bu K, Yan F, Yang J, Chang L, Zhang S (2017) Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015. Sci Rep-UK 7(1):14770
Yun J, Jeong SJ, Ho CH, Park CE, Park H, Kim J (2018) Influence of winter precipitation on spring phenology in boreal forests. Glob. Chang. In: Biol
Zhang X, Dan T, Sullivan JT (2007) Diverse responses of vegetation phenology to a warming climate. Geophys Res Lett 34:255–268
Zhang X, Friedl MA, Schaaf CB, Strahler AH (2004) Climate controls on vegetation phenological patterns in northern mid– and high latitudes inferred from modis data. Glob Chang Biol 10:1133–1145
Zhou J, Cai W, Qin Y, Lai L, Guan T, Zhang X, Zheng Y (2016) Alpine vegetation phenology dynamic over 16 years and its covariation with climate in a semi-arid region of China. Sci Total Environ 572:119–128
Zhou L, Tucker CJ, Kaufmann RK, Slayback D, Shabanov NV, Myneni RB (2001) Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. J Geophys Res-Atmos 106:20069–20083
Zu J, Zhang Y, Huang K, Liu Y, Chen N, Cong N (2018) Biological and climate factors co-regulated spatial-temporal dynamics of vegetation autumn phenology on the Tibetan plateau. Int J Appl Earth Obs 69:198–205
Acknowledgments
We would like to thank China Meteorological Administration (CMA) for providing the meteorological data.
Funding
This work was financially supported by National Natural Science Foundation of China (No.41601044, No.41571400), the Special Fund for Basic Scientific Research of Central Colleges, China University of Geosciences, Wuhan (No.CUG150631, CUGL170401, CUGCJ1704), and Opening Foundation of Key Laboratory for National Geography State Monitoring, National Administration of Surveying, Mapping and Geoinformation.
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Yuan, M., Wang, L., Lin, A. et al. Variations in land surface phenology and their response to climate change in Yangtze River basin during 1982–2015. Theor Appl Climatol 137, 1659–1674 (2019). https://doi.org/10.1007/s00704-018-2699-7
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DOI: https://doi.org/10.1007/s00704-018-2699-7