Precipitation impacts on vegetation spring phenology on the Tibetan Plateau

Global Change Biology

Volumn 21, Issue 10, 2015, Pages 3647-3656

  Shen, Miaogen ^a,b   Piao, Shilong ^a,b   Cong, Nan ^a   Zhang, Gengxin ^a   Jassens, Ivan A ^c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b CAS CENTER FOR EXCELLENCE IN TIBETAN PLATEAU EARTH SCIENCES   (China)

^c UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Climate change; Precipitation; Sensitivity; Temperature; Tibetan Plateau; Vegetation spring phenology

Indexed keywords

CLIMATE CHANGE; PHENOLOGY; PRECIPITATION (CLIMATOLOGY); SENSITIVITY ANALYSIS; TEMPERATURE EFFECT; TERRESTRIAL ECOSYSTEM; VEGETATION COVER;

CHINA; QINGHAI-XIZANG PLATEAU;

RAIN;

CLIMATE CHANGE; DESERT CLIMATE; ECOSYSTEM; PLANT DEVELOPMENT; SEASON; TEMPERATURE; TIBET;

CLIMATE CHANGE; DESERT CLIMATE; ECOSYSTEM; PLANT DEVELOPMENT; RAIN; SEASONS; TEMPERATURE; TIBET;

EID: 84941023196     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.12961     Document Type: Article

References (70)

1. Badeck FW, Bondeau A, Bottcher K, Doktor D, Lucht W, Schaber J, Sitch S (2004) Responses of spring phenology to climate change. New Phytologist, 162, 295-309.
2. Barr A, Black A, Mccaughey H (2009) Climatic and Phenological Controls of the Carbon and Energy Balances of Three Contrasting Boreal Forest Ecosystems in Western Canada. Springer, Heidelberg.
3. Beer C, Reichstein M, Tomelleri E et al. (2010) Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science, 329, 834-838.
4. Botta A, Viovy N, Ciais P, Friedlingstein P, Monfray P (2000) A global prognostic scheme of leaf onset using satellite data. Global Change Biology, 6, 709-725.
5. Chen J, Jonsson P, Tamura M, Gu ZH, 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 Sensing Of Environment, 91, 332-344.
6. Chen XQ, Li J, Xu L, Liu L, Ding D (2014) Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data. International Journal of Biometeorology, 58, 463-471.
7. Chen Y, Yang K, He J, Qin J, Shi J, Du J, He Q (2011) Improving land surface temperature modeling for dry land of China. Journal of Geophysical Research, 116. doi: 10.1029/2011JD015921.
8. Chuine I (2000) A unified model for budburst of trees. Journal of Theoretical Biology, 207, 337-347.
9. Cleland EE, Chuine I, Menzel A, Mooney HA, Schwartz MD (2007) Shifting plant phenology in response to global change. Trends in Ecology & Evolution, 22, 357-365.
10. Cong N, Wang T, Nan H, Ma Y, Wang X, Myneni RB, Piao S (2013) Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multi-method analysis. Global Change Biology, 19, 881-891.
11. Dai JH, Wang HJ, Ge QS (2013) Multiple phenological responses to climate change among 42 plant species in Xi'an, China. International Journal of Biometeorology, 57, 749-758.
12. Di Bella C, Faivre R, Ruget F et al. (2004) Remote sensing capabilities to estimate pasture production in France. International Journal of Remote Sensing, 25, 5359-5372.
13. Editorial Board of Vegetation Map of China Cas (2001) In: 1:1000, 000 Vegetation Atlas of China (ed. Hou XY). Science Press, Beijing, China.
14. Fu Y, Piao S, Op De Beeck M, Cong N, Menzel A, Janssens IA (2014a) Recent spring phenology shifts in Central Europe based on multi-scale observations. Global Ecology and Biogeography, 23, 1255-1263.
15. Fu YH, Piao S, Zhao H et al. (2014b) Unexpected role of winter precipitation in determining heat requirement for spring vegetation green-up at northern-middle and high latitudes. Global Change Biology, 20, 3743-3755.
16. Ganguly S, Friedl MA, Tan B, Zhang XY, Verma M (2010) Land surface phenology from MODIS: characterization of the collection 5 global land cover dynamics product. Remote Sensing of Environment, 114, 1805-1816.
17. Gao YC, Liu MF (2013) Evaluation of high-resolution satellite precipitation products using rain gauge observations over the Tibetan Plateau. Hydrology and Earth System Sciences, 17, 837-849.
18. Garonna I, De Jong R, De Wit AJW, Mücher CA, Schmid B, Schaepman M (2014) Strong contribution of autumn phenology to changes in satellite-derived growing season length estimates across Europe (1982-2011). Global Change Biology, 20, 3457-3470.
19. Hanninen H, Kramer K (2007) A framework for modelling the annual cycle of trees in boreal and temperate regions. Silva Fennica, 41, 167-205.
20. He J (2010) Development of surface meteorological dataset of China with high temporal and spatial resolution. Unpublished M. S. Chin. Acad. of Sci, Beijing, China.
21. Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, 195-213.
22. Huffman GJ, Adler RF, Bolvin DT et al. (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 8, 38-55.
23. Hwang T, Band LE, Miniat CF, Song C, Bolstad PV, Vose JM, Love JP (2014) Divergent phenological response to hydroclimate variability in forested mountain watersheds. Global Change Biology, 20, 2580-2595.
24. IPCC (2007) Climate Change 2007: The Physical Science Basis. Cambridge University Press, New York, NY.
25. Jeong S-J, Ho C-H, Gim H-J, Brown ME (2011) Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008. Global Change Biology, 17, 2385-2399.
26. Jeong SJ, Medvigy D, Shevliakova E, Malyshev S (2012) Uncertainties in terrestrial carbon budgets related to spring phenology. Journal of Geophysical Research-Biogeosciences, 117. doi: 10.1029/2011jg001868.
27. Kato T, Tang YH, Gu S, Hirota M, Du MY, Li YN, Zhao XQ (2006) Temperature and biomass influences on interannual changes in CO2 exchange in an alpine meadow on the Qinghai-Tibetan Plateau. Global Change Biology, 12, 1285-1298.
28. Klein JA, Hopping KA, Yeh ET, Nyima Y, Boone RB, Galvin KA (2014) Unexpected climate impacts on the Tibetan Plateau: local and scientific knowledge in findings of delayed summer. Global Environmental Change, 28, 141-152.
29. Liu H, Tian F, Hu HC, Hu HP, Sivapalan M (2013) Soil moisture controls on patterns of grass green-up in Inner Mongolia: an index based approach. Hydrology and Earth System Sciences, 17, 805-815.
30. Maisongrande P, Duchemin B, Dedieu G (2004) VEGETATION/SPOT: an operational mission for the Earth monitoring; presentation of new standard products. International Journal of Remote Sensing, 25, 9-14.
31. Menzel A, Sparks TH, Estrella N et al. (2006) European phenological response to climate change matches the warming pattern. Global Change Biology, 12, 1969-1976.
32. Mod13a1-Quality (2011) MOD13A1 VI Quality. Available at: https://lpdaac.usgs.gov/products/modis_products_table/mod13a1 (accessed 20 December 2013).
33. Murray M, Cannell M, Smith R (1989) Date of budburst of fifteen tree species in Britain following climatic warming. Journal of Applied Ecology, 26, 693-700.
34. Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR (1997) Increased plant growth in the northern high latitudes from 1981 to 1991. Nature, 386, 698-702.
35. Obrist D, Verburg PSJ, Young MH, Coleman JS, Schorran DE, Arnone JA (2003) Quantifying the effects of phenology on ecosystem evapotranspiration in planted grassland mesocosms using EcoCELL technology. Agricultural and Forest Meteorology, 118, 173-183.
36. Peng S, Piao S, Ciais P et al. (2013) Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation. Nature, 501, 88-92.
37. Penuelas J, Filella I, Zhang XY et al. (2004) Complex spatiotemporal phenological shifts as a response to rainfall changes. New Phytologist, 161, 837-846.
38. Piao S, 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. Agricultural and Forest Meteorology, 151, 1599-1608.
39. Piao S, Fang JY, Zhou LM, Ciais P, Zhu B (2006) Variations in satellite-derived phenology in China's temperate vegetation. Global Change Biology, 12, 672-685.
40. Piao S, Tan K, Nan H et al. (2012) Impacts of climate and CO2 changes on the vegetation growth and carbon balance of Qinghai-Tibetan grasslands over the past five decades. Global and Planetary Change, 98-99, 73-80.
41. Piao SL, 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. Global Biogeochemical Cycles, 21, GB3018.
42. Rahman H, Dedieu G (1994) SMAC - a simplified method for the atmospheric correction of satellite measurements in the solar spectrum. International Journal of Remote Sensing, 15, 123-143.
43. Reynolds JF, Smith DM, Lambin EF et al. (2007) Global desertification: building a science for dryland development. Science, 316, 847-851.
44. Richardson AD, Anderson RS, Arain MA et al. (2012) Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis. Global Change Biology, 18, 566-584.
45. Richardson AD, Black AT, Ciais P et al. (2010) Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philosophical Transactions of the Royal Society B: Biological Sciences, 365, 3227-3246.
46. Richardson AD, Keenan TF, Migliavacca M, Ryu Y, Sonnentag O, Toomey M (2013) Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agricultural and Forest Meteorology, 169, 156-173.
47. Sheffield J, Goteti G, Wood EF (2006) Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. Journal of Climate, 19, 3088-3111.
48. Shen M, Tang Y, Chen J, Yang W (2012) Specification of thermal growing season in temperate China from 1960 to 2009. Climatic Change, 114, 793-798.
49. Shen M, Tang Y, Chen J et al. (2014a) Earlier-season vegetation has greater temperature sensitivity of spring phenology in Northern Hemisphere. PLoS ONE, 9, e88178.
50. 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. Agricultural and Forest Meteorology, 151, 1711-1722.
51. Shen M, Tang Y, Klein J, Zhang P, Gu S, Shimono A, Chen J (2008) Estimation of aboveground biomass using in situ hyperspectral measurements in five major grassland ecosystems on the Tibetan Plateau. Journal of Plant Ecology, 1, 247-257.
52. Shen M, Zhang G, Cong N, Wang S, Kong W, Piao S (2014b) Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai-Tibetan Plateau. Agricultural and Forest Meteorology, 189-190, 71-80.
53. Shen MG, Chen J, Zhu XL, Tang YH, Chen XH (2010) Do flowers affect biomass estimate accuracy from NDVI and EVI? International Journal of Remote Sensing, 31, 2139-2149.
54. Studer S, Stockli R, Appenzeller C, Vidale PL (2007) A comparative study of satellite and ground-based phenology. International Journal of Biometeorology, 51, 405-414.
55. Tan K, Ciais P, Piao S et al. (2010) Application of the ORCHIDEE global vegetation model to evaluate biomass and soil carbon stocks of Qinghai-Tibetan grasslands. Global Biogeochemical Cycles, 24, GB1013.
56. Tucker CJ, Fung IY, Keeling CD, Gammon RH (1986) Relationship between atmospheric CO2 variations and a satellite-derived vegetation index. Nature, 319, 195-199.
57. Vgt-Faq (2012) FAQ About the VGT products. Available at: http://www.vgt.vito.be/faqnew/ (accessed on 20 December 2013).
58. Wang S, Duan J, Xu G et al. (2012) Effects of warming and grazing on soil N availability, species composition, and ANPP in an alpine meadow. Ecology, 93, 2365-2376.
59. Wylie BK, Meyer DJ, Tieszen LL, Mannel S (2002) Satellite mapping of surface biophysical parameters at the biome scale over the North American grasslands - A case study. Remote Sensing of Environment, 79, 266-278.
60. Xu ZX, Gong TL, Li JY (2008) Decadal trend of climate in the Tibetan Plateau-regional temperature and precipitation. Hydrological Processes, 22, 3056-3065.
61. Yatagai A, Arakawa O, Kamiguchi K, Kawamoto H, Nodzu MI, Hamada A (2009) A 44-year daily gridded precipitation dataset for asia based on a dense network of rain gauges. Sola, 5, 137-140.
62. You QL, Fraedrich K, Ren GY, Pepin N, Kang SC (2013) Variability of temperature in the Tibetan Plateau based on homogenized surface stations and reanalysis data. International Journal of Climatology, 33, 1337-1347.
63. Yu FF, Price KP, Ellis J, Shi PJ (2003) Response of seasonal vegetation development to climatic variations in eastern central Asia. Remote Sensing of Environment, 87, 42-54.
64. Yu HY, Luedeling E, Xu JC (2010) Winter and spring warming result in delayed spring phenology on the Tibetan Plateau. Proceedings of the National Academy of Sciences of the United States of America, 107, 22151-22156.
65. Zhang G, Zhang Y, Dong J, Xiao X (2013) Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011. Proceedings of the National Academy of Sciences of the United States of America, 110, 4309-4314.
66. Zhang X, Friedl MA, Schaaf CB et al. (2003) Monitoring vegetation phenology using MODIS. Remote Sensing of Environment, 84, 471-475.
67. Zhang XY, Friedl MA, Schaaf CB (2006) Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): evaluation of global patterns and comparison with in situ measurements. Journal of Geophysical Research-Biogeosciences, 111, G04017.
68. Zhang XY, Friedl MA, Schaaf CB, Strahler AH (2004) Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data. Global Change Biology, 10, 1133-1145.
69. Zhang XY, Friedl MA, Schaaf CB, Strahler AH, Liu Z (2005) Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments. Journal of Geophysical Research-Atmospheres, 110, D12103, 12110.11029/12004JD005263.
70. Zhang XY, Tarpley D, Sullivan JT (2007) Diverse responses of vegetation phenology to a warming climate. Geophysical Research Letters, 34, L19405. doi: 10.1029/2007GL031447.