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Elevation-influenced variation in canopy and stem phenology of Qinghai spruce, central Qilian Mountains, northeastern Tibetan Plateau

  • Xiaomei PengEmail author
  • Jun Du
  • Bao Yang
  • Shengchun Xiao
  • Gang Li
Original Article
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Part of the following topical collections:
  1. Tree Rings
  2. Tree Rings
  3. Tree Rings

Abstract

Key message

Canopy and stem phenology of Qinghai spruce, central Qilian Mountains, respond to different environmental factors depending on season and elevation.

Abstract

To understand vegetation species response to climate change, much research has been devoted to changes in forest phenology. Results of such studies are not only of scientific interest; they are potentially of great use in forest management. This study focuses on variations in canopy and stem phenology as affected by climate and elevation. We collected data on canopy phenology (as recorded in the Normalized Differential Vegetation Index) and stem phenology [using the Vaganov–Shashkin (V–S) model] in Qinghai spruce (Picea crassifolia) growing at two sites in the central Qilian Mountains, Northeast Tibetan Plateau. One site was at a higher elevation, near the local alpine tree-line, and the other was near the local lower tree-line. At both sites, a significant correlation was found between canopy and stem spring phenology. This would seem to be mainly due to spring temperatures. No such correlation was found between canopy and stem autumn phenology. The study suggests that the main factors affecting stem growth after the beginning of growing season would be temperature and soil moisture, and that these have different effects depending on elevation. At the lower elevation, soil moisture seems to be the main factor limiting growth. At the higher elevation, temperature was the determining factor. Climate change will have different effects depending on elevation.

Keywords

Spring phenology Picea crassifolia Stem radial growth Forest management 

Notes

Acknowledgements

The study was jointly funded by the National Natural Science Foundation of China (nos. 41701050, 41601051, 41520104005, 41325008), the CAS Light of West China Program, and the Foundation for Excellent Youth Scholars of the Northwest Institute of Eco-Environment and Resources, CAS.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

Supplementary material

468_2019_1810_MOESM1_ESM.docx (53 kb)
Supplementary material 1 (DOCX 53 KB)

References

  1. Ahl DE, Gower ST, Burrows SN et al (2006) Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS. Remote Sens Environ 104:88–95CrossRefGoogle Scholar
  2. Allen CD, Macalady AK, Chenchouni H et al (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For Ecol Manag 259:660–684CrossRefGoogle Scholar
  3. Anchukaitis KJ, Evans MN, Kaplan A et al (2006) Forward modeling of regional scale tree-ring patterns in the southeastern United States and the recent influence of summer drought. Geophys Res Lett 33:347–360CrossRefGoogle Scholar
  4. Anderegg WRL, Kane JM, Anderegg LDL (2013) Consequences of widespread tree mortality triggered by drought and temperature stress. Nat Clim Change 3:30–36CrossRefGoogle Scholar
  5. Antonucci S, Rossi S, Deslauriers A et al (2015) Synchronisms and correlations of spring phenology between apical and lateral meristems in two boreal conifers. Tree Physiol 35:1086–1094CrossRefGoogle Scholar
  6. Biondi F, Waikul K (2004) DENDROCLIM2002: a C++ program for statistical calibration of climate signals in tree-ring chronologies. Comput Geosci 30:303–311CrossRefGoogle Scholar
  7. Briffa KR, Jones PD (1990) Basic chronology statistics and assessment. In: Cook ER, Kairiukstis LA (eds) Methods of dendrochronology: applications in the environmental sciences. Kluwer Academic Publishers, Dordrecht, pp 137–152Google Scholar
  8. Carnicer J, Mooney HA (2011) Widespread crown condition decline, food web disruption, and amplified tree mortality with increased climate change-type drought. Proc Natl Acad Sci USA 108:1474–1478CrossRefGoogle Scholar
  9. Chang XX, Zhao WZ, He ZB (2014) Radial pattern of sap flow and response to microclimate and soil moisture in Qinghai spruce (Picea crassifolia) in the upper Heihe River Basin of arid northwestern China. Agric For Meteorol 187:14–21CrossRefGoogle Scholar
  10. Chen F, Yuan YJ, Wei WS (2011) Climatic response of Picea crassifolia tree-ring parameters and precipitation reconstruction in the western Qilian Mountains, China. J Arid Environ 75:1121–1128CrossRefGoogle Scholar
  11. Chen RS, Song YX, Kang ES et al (2014) A cryosphere-hydrology observation system in a small alpine watershed in the Qilian mountains of China and its meteorological gradient. Arct Antarct Alp Res 46:505–523CrossRefGoogle Scholar
  12. Cheng GD, Xiao HL, Fu BJ et al (2014) Advances in synthetic research on the eco-hydrological process of the Heihe River Basin. Adv Earth Sci 29:431–437 (in Chinese with English abstract) Google Scholar
  13. Chmielewski FM, Rötzer T (2001) Response of tree phenology to climate change across Europe. Agric For Meteorol 108:101–112CrossRefGoogle Scholar
  14. Cooke JEK, Eriksson ME, Junttila O (2012) The dynamic nature of bud dormancy in trees: environmental control and molecular mechanisms. Plant Cell Environ 35:1707–1728CrossRefGoogle Scholar
  15. Cuny HE, Rathgeber CBK, Lebourgeois F et al (2012) Life strategies in intra-annual dynamics of wood formation: example of three conifer species in a temperate forest in north-east France. Tree Physiol 32:612–625CrossRefGoogle Scholar
  16. Deslauriers A, Rossi S, Anfodillo T et al (2008) Cambial phenology, wood formation and temperature thresholds in two contrasting years at high altitude in southern Italy. Tree Physiol 28:863–871CrossRefGoogle Scholar
  17. Deslauriers A, Fonti P, Rossi S et al (2017) Ecophysiology and plasticity of wood and phloem formation. In: Amoroso MM, Daniels LD, Baker PJ et al (eds) Dendroecology tree-ring analyses applied to ecological studies. Springer International Publishing AG, SwitzerlandGoogle Scholar
  18. Ding MJ, Li LH, 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 13:83–94CrossRefGoogle Scholar
  19. Du J, He ZB, Yang JJ et al (2014) Detecting the effects of climate change on canopy phenology in coniferous forests in semi-arid mountain regions of China. Int J Remote Sens 35:6490–6507CrossRefGoogle Scholar
  20. Evans MN, Reichert BK, Kaplan A et al (2006) A forward modeling approach to paleoclimatic interpretation of tree-ring data. J Geophys Res Biogeosci 111:G03008Google Scholar
  21. George SS (2014) An overview of tree-ring width records across the Northern Hemisphere. Quat Sci Rev 95:132–150CrossRefGoogle Scholar
  22. Grissino-Mayer HD (2001) Evaluating crossdating accuracy: a manual and tutorial for the computer program COFECHA. Tree Ring Res 57:205–221Google Scholar
  23. Jeong SJ, Chang-Hoi HO, Gim HJ et al (2011) Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008. Glob Change Biol 17:2385–2399CrossRefGoogle Scholar
  24. Jones OM, Kimball JS, Nemani RR (2014) Asynchronous Amazon forest canopy phenology indicates adaptation to both water and light availability. Environ Res Lett 9:124021CrossRefGoogle Scholar
  25. Jönsson P, Eklundh L (2004) TIMESAT—a program for analyzing time-series of satellite sensor data. Comput Geosci 30:833–845CrossRefGoogle Scholar
  26. Körner C, Basler D (2010) Phenology under global warming. Science 327:1461–1462CrossRefGoogle Scholar
  27. Kross A, Fernandes R, Seaquist J et al (2011) The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests. Remote Sens Environ 115:1564–1575CrossRefGoogle Scholar
  28. Li WH (2004) Degradation and restoration of forest ecosystems in China. For Ecol Manag 201:33–41CrossRefGoogle Scholar
  29. Li XX, Liang EY, Gričar J et al (2013) Age dependence of xylogenesis and its climatic sensitivity in Smith fir on the south-eastern Tibetan Plateau. Tree Physiol 33:48–56CrossRefGoogle Scholar
  30. Liang EY, Wang YF, Piao SL et al (2016) Species interactions slow warming-induced upward shifts of treelines on the Tibetan Plateau. Proc Natl Acad Sci USA 113:4380–4385CrossRefGoogle Scholar
  31. Lin PF, He ZB, Du J et al (2017) Recent changes in daily climate extremes in an arid mountain region, a case study in northwestern China’s Qilian Mountains. Sci Rep 7:2245CrossRefGoogle Scholar
  32. Liu HY, Williams AP, Allen CD et al (2013) Rapid warming accelerates tree growth decline in semi-arid forests of Inner Asia. Glob Change Biol 19:2500–2510CrossRefGoogle Scholar
  33. Liu Y, Sun C, Li Q et al (2016) A Picea crassifolia tree-ring width-based temperature reconstruction for the Mt. Dongda region, Northwest China, and its relationship to large-scale climate forcing. PLoS One 11:e0160963CrossRefGoogle Scholar
  34. Melvin TM, Briffa KR (2008) A “signal-free” approach to dendroclimatic standardisation. Dendrochronologia 26:71–86CrossRefGoogle Scholar
  35. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37–42CrossRefGoogle Scholar
  36. Peñuelas J, Sardans J, Estiarte M et al (2013) Evidence of current impact of climate change on life: a walk from genes to the biosphere. Glob Change Biol 19:2303–2338CrossRefGoogle Scholar
  37. Perrin M, Rossi S, Isabel N (2017) Synchronisms between bud and cambium phenology in black spruce: early-flushing provenances exhibit early xylem formation. Tree Physiol 37:593–603CrossRefGoogle Scholar
  38. Pettorelli N, Vik JO, Mysterud A et al (2005) Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol Evol 20:503–510CrossRefGoogle Scholar
  39. Piao SL, Cui MD, Chen AP et al (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 151:1599–1608CrossRefGoogle Scholar
  40. Ren P, Rossi S, Camarero JJ et al (2018) Critical temperature and precipitation thresholds for the onset of xylogenesis of Juniperus przewalskii in a semi-arid area of the north-eastern Tibetan Plateau. Ann Bot 121:617–624CrossRefGoogle Scholar
  41. Rossi S, Deslauriers A, Griçar J et al (2008) Critical temperatures for xylogenesis in conifers of cold climates. Glob Ecol Biogeogr 17:696–707CrossRefGoogle Scholar
  42. Rossi S, Rathgeber CBK, Deslauriers A (2009) Comparing needle and shoot phenology with xylem development on three conifer species in Italy. Ann For Sci 66:206–206CrossRefGoogle Scholar
  43. Schwartz MD, Reed BC, White MA (2002) Assessing satellite-derived start-of-season measures in the conterminous USA. Int J Climatol 22:1793–1805CrossRefGoogle Scholar
  44. Settele J, Scholes R, Betts R et al (2014) Terrestrial and inland water systems. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Climate Change 2014: impacts, adaptation, and vulnerability. part a: global and sectoral aspects. Cambridge University Press, Cambridge, pp 271–359Google Scholar
  45. Tian QY, He ZB, Xiao SC et al (2017) Response of stem radial growth of Qinghai spruce (Picea crassifolia) to environmental factors in the Qilian Mountains of China. Dendrochronologia 44:76–83CrossRefGoogle Scholar
  46. Vaganov EA, Hughes MK, Shashkin AV (2006) Growth dynamics of tree rings. Springer, BerlinGoogle Scholar
  47. Wigley TML, Briffa KR, Jones PD (1984) On the average value of correlated time series, with applications in dendroclimatology and hydrometeorology. J Clim 23:201–213Google Scholar
  48. Yang X, Mustard JF, Tang J et al (2012) Regional-scale phenology modeling based on meteorological records and remote sensing observations. J Geophys Res Biogeosci 117:G03029Google Scholar
  49. Yang B, Qin C, Wang JL et al (2014) A 3,500-year tree-ring record of annual precipitation on the northeastern Tibetan Plateau. Proc Natl Acad Sci USA 111:2903–2908CrossRefGoogle Scholar
  50. Yang B, He MH, Shishov V et al (2017) New perspective on spring vegetation phenology and global climate change based on Tibetan Plateau tree-ring data. Proc Natl Acad Sci USA 114:6966–6971CrossRefGoogle Scholar
  51. Yao TD, Liu XD, Wang NL et al (2000) Amplitude of climatic changes in Qinghai-Tibetan Plateau. Chin Sci Bull 45:1236–1243CrossRefGoogle Scholar
  52. Zhang GL, Zhang YJ, Dong JW et al (2013) Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011. Proc Natl Acad Sci USA 110:4309–4314CrossRefGoogle Scholar
  53. Zhang QB, Evans MN, Lyu LX (2015) Moisture dipole over the Tibetan Plateau during the past five and a half centuries. Nat Commun 6:8062CrossRefGoogle Scholar
  54. Zhang JZ, Gou XH, Pederson N et al (2018) Cambial phenology in Juniperus przewalskii along different altitudinal gradients in a cold and arid region. Tree Physiol 38:840–852Google Scholar
  55. Zhu X, He Z-B, Du J et al (2017) Temporal variability in soil moisture after thinning in semi-arid Picea crassifolia plantations in northwestern China. For Ecol Manag 401:273–285CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Xiaomei Peng
    • 1
    Email author
  • Jun Du
    • 2
  • Bao Yang
    • 1
  • Shengchun Xiao
    • 2
  • Gang Li
    • 3
  1. 1.Key Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouChina
  2. 2.Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouChina
  3. 3.Dongdashan Nature Reserve Management Station of Ganzhou DistrictZhangyeChina

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