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Effects of vegetation phenology on vegetation productivity in the Qinghai Lake Basin of the Northeastern Qinghai–Tibet Plateau

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Abstract

Investigating the impacts of vegetation phenology on vegetation productivity is of great significance to understand the adaptation of terrestrial ecosystems to climate change. This research explored the impact of phenological variations on vegetation productivity using the MODIS remote sensing data sets in the Qinghai Lake basin. Our findings showed (1) that the mean vegetative SOS (start of the growing season), LOS (Length of the growing season), and DOS (Dormancy of growing season) during 2001–2015 range from April 6th to June 19th, 91d to186d and August 11th to November 6th, respectively. The regional mean SOS showed an advance trend from 2001 to 2015 in the Qinghai Lake Basin, with an advance rate of about 2 d/a; LOS tended to shorten, and the shortening rate was about 1.06 d/a; DOS had a clear advancement trend with a rate of about 1 d/a. (2) The annual average NPP and GPP in Qinghai Lake basin from 2001 to 2015 were between 0 to 542.86 gC·m-2·a-1 and 0 to 815.48 gC·m-2·a-1; the slopes of NPP and GPP in the Qinghai Lake basin were between -18.96 to 30.83 and -26.83 to 45.18, respectively. (3) Through correlation analysis of vegetation phenology and vegetation productivity, On the spatial scale, it can be seen that the advance of SOS and DOS in the Qinghai Lake basin will reduce NPP and GPP, and the extension of LOS will increase NPP and GPP significantly. In the direction of the altitude gradient (the altitude was from 3200 m to 4400 m), when the SOS was delayed by 1 day, NPP and GPP will decrease by 12.31 gC·m-2 and 18.69 gC·m-2 respectively; when DOS was delayed by 1 day, NPP and GPP will increase by 8.55 gC·m-2 and 12.89 gC·m-2, respectively; when LOS was increased by 1 day, NPP and GPP will increase by 5.08 gC·m-2 and 7.68 gC·m-2, respectively. (4) In the direction of the altitude gradient, the order of influence of vegetation phenology on vegetation productivity was: SOS> DOS> LOS. On the spatial scale, there were spatial differences in the effects of SOS and DOS on vegetation productivity. The results showed that vegetation phenology had a significant effect on productivity in the Qinghai Lake basin, which had important reference significance for regional ecosystem management and ecological construction.

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References

  • Badeck FW, Bondeau AK, Doktor D, Lucht,W, Schaber J (2004) Responses of spring phenology to climate change. New Phytol 162:295–309.

  • Begue A, Vintrou E, Saad A, Hiernaux P (2014) Differences between cropland and rangeland MODIS phenology (start -of-season) in Mali. Int J Appl Earth Obs Geoinf 31:167–170

    Google Scholar 

  • Bondeau A, Kicklighter DW, Kaduk J, Intercomparison TEPOFTEP (1999) Comparing global models of terrestrial net primary productivity (NPP): importance of vegetation structure on seasonal NPP estimates. Glob Chang Biol 5:35–45

    Article  Google Scholar 

  • Che M, Chen B, Zhang H et al (2014) Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai–Tibetan Plateau from 1982 to 2011. Agric For Meteorol 189(190):81–90

    Article  Google Scholar 

  • Chen JM, Mo G, Pisek J, Liu J, Deng F, Ishizawa M, Chan D (2012) Effects of foliage clumping on the estimation of global terrestrial gross primary productivity. Glob Biogeochem Cycles 26(1)

  • Cui B (2015) Stable isotopes reveal sources of precipitation in the Qinghai Lake Basin of the northeastern Tibetan Plateau. Sci Total Environ 527-528(15):26–37

    Article  Google Scholar 

  • Cui BL, Li XY (2015) Characteristics of stable isotopes and hydrochemistry of river water in the Qinghai Lake Basin, northeast Qinghai–Tibet Plateau, China. Environ Earth Sci 73:4251–4263

    Article  Google Scholar 

  • Ding MJ, Zhang YL, Sun XM, Liu LS, Wang ZF, Bai WQ (2013) Spatiotemporal variation in alpine grassland phenology in the Qinghai–Tibetan Plateau from 1999 to 2009. Chin Sci Bull 58(3):396–405

    Article  Google Scholar 

  • Ding M, Li L-h, Nie Y et al (2016) Spatio-temporal variation of spring phenology in Tibetan Plateau and its linkage to climate change from 1982 to 2012. J Mt Sci 13:83–94

    Article  Google Scholar 

  • Dong M, Jiang Y, Zheng C et al (2012) Trends in the thermal growing season throughout the Tibetan Plateau during 1960–2009. Agric For Meteorol 166-167(none):201–206

    Article  Google Scholar 

  • Han H, Bai J, Ma G, Yan J (2020) Vegetation Phenological Changes in Multiple Landforms and Responses to Climate Change. ISPRS Int J Geo-Inf 9:111

    Article  Google Scholar 

  • Hogg EH, Price DT, Black TA (2000) Postulated feedbacks of deciduous forest phenology on seasonal climate patterns in the western Canadian interior. J Clim 13:4229–4243

    Article  Google Scholar 

  • IPCC (2008) Climate change 2007: impacts, adaptation, vulnerability. Contribution of working group II to the F Fourth Assessment Report of the Intergovernmental Panel on Climate Change. J Environ Qual 37(6):2407

    Article  Google Scholar 

  • Jeong SJ, Chang-Hoi HO (2011) Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008. Glob Chang Boil 17:2385–2399

    Article  Google Scholar 

  • Li XY, He Y et al (2007) Lake-Level change and water balance analysis at Lake Qinghai, West China during recent decades. Water Resour Manag 21:1505–1516

    Article  Google Scholar 

  • Li P, Changhui et al (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 637-638(OCT.1):855

  • Lin H, Zhao J, Liang T et al (2012) A classification indices-based model for net primary productivity (NPP) and potential productivity of vegetation in China. Int J Biomath 5(3):1–23

    Article  Google Scholar 

  • Lin S, Shao L, Hui C, Sandhu HS, Fan T, Zhang L, Li F, Ding Y, Shi P (2018) The effect of temperature on the developmental rates of seedling emergence and leaf-unfolding in two dwarf bamboo species. Trees 32:751–763

    Article  Google Scholar 

  • Liu XF, Zhu XQ, Zhu WF et al (2014) Changes in spring phenology in the Three-Rivers Headwater Region from 1999 to 2013. Remote Sens 6(9):9130–9144

    Article  Google Scholar 

  • Liu X, Zhang B, Henry B, Zhang J, Grace P (2017) Assessing the impact of historical and future climate change on potential natural vegetation types and net primary productivity in Australian grazing lands. Rangel J 39:387

    Article  Google Scholar 

  • Martínez-Lüscher J, Hadley P, Ordidge M, Xu X, Luedeling E (2017) Delayed chilling appears to counteract flowering advances of apricot in southern UK. Agric For Meteorol 237-238:209–218

    Article  Google Scholar 

  • Myneni RB, Keeling C, Tucker C et al (1997) Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386(6626):698–702

    Article  Google Scholar 

  • Nemani RR, Keeling CD, Hashimoto H, Jolly WM, Piper SC, Tucker CJ, Myneni RB, Running SW (2003) Climate-driven increases in global terrestrial net primary from 1982 to 1999. Science 300(5625):1560–1563

    Article  Google Scholar 

  • Peng D, Zhang X, Wu C, Huang W, Gonsamo A, Huete AR, Didan K, Tan B, Liu X, Zhang B (2017) Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States. Agric For Meteorol 242:33–46

    Article  Google Scholar 

  • Piao SL, Fang J, Zhou L et al (2003) Interannual variations of monthly and seasonal normalized difference vegetation index (NDVI) in China from 1982 to 1999. J Geophys Res 108(D14):4401

    Article  Google Scholar 

  • Piao S, Friedlingstein P, Ciais P, Viovy N, Demarty J (2007) Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades. Glob Biogeochem Cycles 21:GB3018

    Article  Google Scholar 

  • Piao SL, Cui MD, Chen AP et al (2011a) 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(12):1599–1608

    Article  Google Scholar 

  • Piao SL, Cui MD, Chen AP, Wang X, Ciais P, Liu J, Tang Y (2011b) 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(12):1599–1608

    Article  Google Scholar 

  • Piao SL, Liu Q, Chen AP, Janssens IA, Fu Y, Dai J, Liu L, Lian X, Shen M, Zhu X (2019) Plant phenology and global climate change: current progresses and challenges. Glob Chang Boil 25:1922–1940

    Article  Google Scholar 

  • Qiu J (2008) China: The third pole. Nature 454(7203):393–396

    Article  Google Scholar 

  • Ren Z, Yiu YX (2013) Contrast in vegetation net primary productivity estimation models and ecological effect value evaluation in Northwest China. Acta Automat Sin 21:494

    Article  Google Scholar 

  • Ren Y, Zhang F, Kung HT, Johnson VC, Wang J, Zhang Y, Yu H, Yushanjiang A (2017) Using the vegetation-solar radiation (VSr) model to estimate the short-term gross primary production (GPP) of vegetation in Jinghe county, Xin Jiang, China. Ecol Eng 107:208–215

    Article  Google Scholar 

  • Richardson AD, Black TA, Ciais P et al (2010) Influence of spring and autumn phenological transitions on forest ecosystem productivity. Phil Trans R Soc London B Biol Sci 365(1555):3227–3246

    Article  Google Scholar 

  • Richardson AD, Anderson RS, Arain MA, Barr AG, Bohrer G, Chen G, Chen JM, Ciais P, Davis KJ, Desai AR (2012) Terrestrial biosphere models need better representation of vegetation phenology:Results from the North American Carbon Program Site Synthesis. Glob Chang Boil 18:566–584

    Article  Google Scholar 

  • 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(12):1711–1722

    Article  Google Scholar 

  • Shen MG, Zhang GX, Cong N et al (2014) Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai–Tibetan Plateau. Agric For Meteorol 189:71–80

    Article  Google Scholar 

  • Shi P, Chen Z, Reddy GVP et al (2017) Timing of cherry tree blooming: Contrasting effects of rising winter low temperatures and early spring temperatures. Agric For Meteorol 240:78–79

    Article  Google Scholar 

  • Slayback DA, Pinzon JE, Los SO, Tucker CJ (2003) Northern hemisphere photosynthetic trends 1982-1999. Glob Chang Biol 9(1):1–15

    Article  Google Scholar 

  • Tucker CJ, Slay back DA, Pinzon JE et al (2001) Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. Int J Biometeorol 45(4):184–190

    Article  Google Scholar 

  • W ZF, X J, L XT, et al (2019) Study on the relationship between vegetation coverage and water area in the Qinghai Lake Basin. Environ Sci Surv 38(S2):10–14

  • Wolkovich EM, Cook BI, Allen JM, Crimmins TM, Betancourt JL, Travers SE, Pau S, Regetz J, Davies, T.J., Kraft, NJB, et al (2012) Warming experiments underpredict plant phenological responses to climate change. Nature 485:494–497.

  • Xiao W, Sun Z, Wang Q et al (2013) Evaluating MODIS phenology product for rotating croplands through ground observations. J Appl Remote Sens 7(1):609–618

    Article  Google Scholar 

  • Xu W, Liu X (2007) Response of vegetation in the Qinghai–Tibet Plateau to global warming. Chin Geogr Sci 17(2):151–159

    Article  Google Scholar 

  • Yu H, Luedeling E, Xu J (2010) Winter and spring warming result in delayed spring phenology on the Tibetan Plateau. Proc Natl Acad Sci 107(51):22151–22156

    Article  Google Scholar 

  • Zhang X, Friedl MA, Schaaf CB, Strahler AH, Hodges JCF, Gao F, Reed BC, Huete A (2003) Monitoring vegetation phenology using MODIS. Remote Sens Environ 84(3):471–475

    Article  Google Scholar 

  • Zhang Q, Kong D, Shi P, Singh VP, Sun P (2018) Vegetation phenology on the Qinghai–Tibetan Plateau and its response to climate change (1982–2013). Agric For Meteorol 248:408–417

    Article  Google Scholar 

  • Zhang P, Cheng H, Liu W et al (2019) Geochemical and isotopic (U, T h) variations in lake waters in the Qinghai Lake Basin, Northeast Qinghai–Tibet Plateau, China: origin and paleo environmental implications. Arab J Geosci 12(3)

  • Zheng J, Ge Q, Hao Z (2002) Impacts of climate warming on plants phenophases in China for the last 40 years. Chin Sci Bull 47:1826

    Article  Google Scholar 

  • Zhou L, Tucker CJ, Kaufmann RK, 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 (1984-2012) 106(D17):20069–20083

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank all the reviewers for their invaluable comments and suggestions for this manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (42061008) and Qinghai Province "High-end Innovative Talents Thousand Talents Plan" project (Qing talent character [2016] 11).

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Authors and Affiliations

  1. Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province & Beijing Normal University, Qinghai Normal University, Xining, 810008, China

    Zhigang Wang, Shengkui Cao, Guangchao Cao & Yao Lan

  2. College of Geographic Science, Qinghai Normal University, Xining, 810008, China

    Zhigang Wang, Shengkui Cao & Yao Lan

  3. Qinghai Province Key Laboratory of Physical Geography and Environmental Process, Qinghai Normal University, Xining, 810008, China

    Zhigang Wang, Shengkui Cao, Guangchao Cao & Yao Lan

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  1. Zhigang Wang
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  2. Shengkui Cao
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  3. Guangchao Cao
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  4. Yao Lan
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Contributions

All of the authors have contributed to the manuscript. Z.W. analyzed the results and wrote the manuscript. Y.L. provided the data. S.C. and G.C. contributed to editing the manuscript and provided many suggestions. Z.W. assisted with data processing. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Shengkui Cao.

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Responsible Editor: Biswajeet Pradhan

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Wang, Z., Cao, S., Cao, G. et al. Effects of vegetation phenology on vegetation productivity in the Qinghai Lake Basin of the Northeastern Qinghai–Tibet Plateau. Arab J Geosci 14, 1030 (2021). https://doi.org/10.1007/s12517-021-07440-5

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