Chinese Journal of Plant Ecology >
Phenological change of main vegetation types along a North-South Transect of Eastern China
Received date: 2009-07-14
Accepted date: 2009-09-12
Online published: 2010-03-01
Aims Vegetation phenology is a sensitive indicator of ecological response to climate change that is usually used as an important component of dynamic vegetation models and reflects dynamic of carbon and water exchange between the land surface and the atmosphere.
Methods Based on the biweekly dataset of NOAA/AVHRR NDVI (Normalized Difference Vegetation Index) for 1982-2006, the phenological curves of main vegetation types along the North-South Transect of Eastern China (NSTEC) were extracted using remote sensing software ENVI (ver4.3, RSI). A smooth-splin method was used to simulate and develop smooth phonological curves, which were used to determine timing of main phenological events by the first derivative method.
Important findings Earlier onsets of green-up were found in Temperate Coniferous Forest (TCF, 0.56 d·a-1), Temperate Grassland (TG, 0.66 d·a-1), Subtropical and Tropical Coniferous Forest (STCF, 0.46 d·a-1), Subtropical Deciduous Broadleaf Forest (SDBF, 0.58 d·a-1), Subtropical and Tropical Grassland (STG, 0.89 d·a-1). Delays of dormancy were found in Temperate and Cold Temperate Coniferous Forest (TCTCF, 0.32 d·a-1), Subtropical Deciduous Broadleaf Forest (SDBF, 0.80 d·a-1) and Temperate Deciduous Forest (TDF, 0.18 d·a-1). Prolonged growing season lengths (GSL) were also found in most vegetation types in the transect; however, these differed in their onsets dates of green-up or dormancy. Prolonged GSL in TCF (0.77 d·a-1) was caused by earlier onset of green-up, prolonged GSL in TCTCF (0.38 d·a-1) and TDBF (0.36 d·a-1) were caused by delays of dormancy and prolonged of GSL in TG (0.76 d·a-1), STCF (0.83 d·a-1), SDBF (1.4 d·a-1) and STG (1.3 d·a-1) were due to both advances of green-up and delays of dormancy. Correlations among precipitation, temperature and NDVI were analyzed to further explore the causes of phenological variation. The result showed that temperature has greater influence on variations of phonological events than precipitation. Heat gradient along NSTEC caused a phonological events gradient, i.e., a time sequence of cold temperate zone > temperate zone > subtropical zone in the onset dates of green-up and subtropical zone > temperate zone > cold temperate zone in the onset dates of dormancy and growing season lengths.
YU Zhen, SUN Peng-Sen, LIU Shi-Rong . Phenological change of main vegetation types along a North-South Transect of Eastern China[J]. Chinese Journal of Plant Ecology, 2010 , 34(3) : 316 -329 . DOI: 10.3773/j.issn.1005-264x.2010.03.009
| [1] | Beaubien EG, Freeland HJ (2000). Spring phenology trends in Alberta, Canada: links to ocean temperature. International Journal of Biometeorology, 44, 53-59. |
| [2] | Beurs KM, Henebry GM (2004). Trend analysis of the pathfinder AVHRR Land (PAL) NDVI data for the deserts of central Asia. IEEE Geoscience and Remote Sensing Letters, 1, 282-286. |
| [3] | Beurs KM, Henebry GM (2005). A statistical framework for the analysis of long image time series. International Journal of Remote Sensing, 26, 1551-1573. |
| [4] | Chmielewski FM, Müller A, Bruns E (2004). Climate changes and trends in phenology of fruit trees and field crops in Germany, 1961-2000. Agricultural and Forest Meteorology, 121, 69-78. |
| [5] | Chmielewski FM, R?tzer T (2001). Response of tree phenology to climate change across Europe. Agricultural and Forest Meteorology, 108, 101-112. |
| [6] | Compiling Committee of Vegetation Maps of 1:1,000,000 in China (中国科学院中国1:100万植被图编辑委员会) (2001) Atlas of Vegetation Maps of 1:1,000,000 in China (中国植被图集1: 100万). Science Press, Beijing. |
| [7] | Defila C, Clot B (2001). Phytophenological trends in Switzerland. International Journal of Biometeorology, 45, 203-207. |
| [8] | Gao Q, Li XB, Yang XS (2003). Responses of vegetation and primary production in North-South Transect of Eastern China to global change under land use constraint. Acta Botanica Sinica, 45, 1274-1284. |
| [9] | Heumann BW, Seaquist JW, Eklundh L, J?nsson P (2007). AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982-2005. Remote Sensing of Environment, 108, 385-392. |
| [10] | Hirsch RM, Slack JR, Smith RA (1982). Techniques of trend analysis for monthly water quality data. Water Resources Research, 18, 107-121. |
| [11] | Karlsen SR, Solheim I, Beck PSA, H?gda1 KA, Wielgolaski FE, T?mmervik H (2007). Variability of the start of the growing season in Fennoscandia, 1982-2002. International Journal of Biometeorology, 51, 513-524. |
| [12] | Kendall MG (1975). Rank Correlation Methods. Charles Griffin, London. |
| [13] | Lettenmaier DP (1988). Multivariate nonparametric tests for trend in water quality. Water Resources Bulletin, 24, 505-512. |
| [14] | Libiseller C, Grimvall A (2002). Performance of partial MannKendall test for trend detection in the presence of covariates. Environmetrics, 13, 71-84. |
| [15] | Lucht W, Prentice IC, Myneni RB, Sitch S, Friedlingstein P, Cramer W, Bousquet P, Buermann W, Smith B (2002). Climatic control of the high-latitude vegetation greening trend and Pinatubo effect. Science, 296, 1687-1689. |
| [16] | Mann HB (1945). Nonparametric tests against trend. Econometrica, 13, 245-259. |
| [17] | McVicar TR, Bierwirth PN (2001). Rapidly assessing the 1997 drought in Papua New Guinea using composite AVHRR imagery. International Journal of Remote Sensing, 22, 2109-2128. |
| [18] | McVicar TR, Van Niel TG, Li LT, Hutchinson MF, Mu XM, Liu ZH (2007). Spatially distributing monthly reference evapotranspiration and pan evaporation considering topographic influences. Journal of Hydrology, 338, 196-220. |
| [19] | Menzel A (2000). Trends in phenological phases in Europe between 1951 and 1996. International Journal of Biometeorology, 44, 76-81. |
| [20] | 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. |
| [21] | Parmesan C (2007). Influences of species, latitudes and methodologies on estimates of phenological response to global warming. Global Change Biology, 13, 1860-1872. |
| [22] | Peng SL (彭少麟), Zhao P (赵平), Ren H (任海), Zheng FY (郑凤英) (2002). The possible heat-driven pattern variation of zonal vegetation and agricultural ecosystems along the North-South Transect of China under the global change. Earth Science Frontiers (地学前缘), 9, 217-226. (in Chinese with English abstract) |
| [23] | Piao SL, 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. |
| [24] | Reed BC, Brown JF, VanderZee D, Loveland TR, Merchant JW, Ohlen DO (1994). Measuring phenological variability from satellite imagery. Journal of Vegetation Science, 5, 703-714. |
| [25] | Schwarz MD, Reiter BE (2000). Changes in north American spring. International Journal of Biometeorology, 20, 929-932. |
| [26] | Stockli R, Vidale PL (2004). European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset. International Journal of Remote Sensing, 25, 3303-3330. |
| [27] | Sun PS, Liu SR, Jiang H, Liu YL, Liu JT, Lin Y, Liu XL (2008). Hydrologic effects of NDVI time series in a context of climatic variability in an upstream catchment of the Minjiang River. Journal of the American Water Resources Association, 44, 1132-1143. |
| [28] | Teng L (滕菱), Ren H (任海), Peng SL (彭少麟) (2000). The natural situation of North South Transect of Eastern China. Ecologic Science (生态科学), 19(4), 1-10. (in Chinese with English abstract) |
| [29] | Tucker CJ, Pinzon JE, Brown ME, Slayback D, Pak E, Mahoney R, Vermote E, Saleous N (2005). An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26, 4485-4498. |
| [30] | Wu YF (武永峰), He CY (何春阳), Ma Y (马瑛), Li J (李京), Zhang YL (张业利) (2005). The comparison of the current remote sensing-based vegetation greenup detection methods with the computer simulation. Advances in Earth Research (地球科学进展) 20, 724-731. (in Chinese with English abstract) |
| [31] | Xiao XM, Hagen S, Zhang QY, Keller M, Moore B (2006). Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal MODIS images. Remote Sensing of Environment, 103, 465-473. |
| [32] | Xiao XM, Zhang QY, Saleska S, Hutyra L, de Camargo P, Wofsy S, Frolking S, Boles S, Keller M, Moore B (2005). Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sensing of Environment, 94, 105-122. |
| [33] | Yan H (阎洪) (2004). Modeling spatial distribution of climate in China using thin plate smoothing spline interpolation. Scientia Geographica Sinica (地理科学), 24, 163-169. (in Chinese with English abstract) |
| [34] | 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 1981-1999. Journal of Geophysics Research, 106, 20069-20083. |
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