Land surface phenology dynamics and climate variations in the North East China Transect (NECT), 1982–2000

References

• Barber , V. A. , Juday , G. P. and Finney , B. P. 2000 . Reduced growth of Alaskan white spruce in the twentieth century from temperature‐induced drought stress. . Nature , 405 : 668 – 673 .
   PubMed Web of Science ®Google Scholar
• Beaubien , E. G. and Freeland , H. J. 2000 . Spring phenology trends in Alberta, Canada: links to ocean temperature. . International Journal of Biometeorology , 44 : 53 – 59 .
   PubMed Web of Science ®Google Scholar
• Beck , P. S. A. , Clement Atzberger , T. , HØgda , K. A. , Johansen , B. and Skidmore , A. K. 2006 . Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. . Remote Sensing of Environment , 100 : 321 – 334 .
   Web of Science ®Google Scholar
• Chmielewski , F. , Muller , A. and Bruns , E. 2004 . Climate change and trends in phenology of fruit trees and field crops in Germany, 1961–2000. . Agricultural and Forest Meteorology , 121 : 69 – 78 .
   Web of Science ®Google Scholar
• Delbart , N. , Toan , T. L. , Kergoat , L. and Fedotova , V. 2006 . Remote sensing of spring phenology in boreal regions: a free of snow‐effect method using NOAA‐AVHRR and SPOT‐VGT data (1982–2004). . Remote Sensing of Environment , 101 : 52 – 62 .
   Web of Science ®Google Scholar
• Duchemin , B. , Guyon , D. and Lagouarde , J. P. 1999 . Potential and limits of NOAA‐AVHRR temporal composite data for phenology and water stress monitoring of temperate forest ecosystems. . International Journal of Remote Sensing , 20 : 895 – 917 .
   Web of Science ®Google Scholar
• Fischer , A. 1994 . A model for the seasonal variations of vegetation indices in coarse resolution data and its inversion to extract crop parameters. . Remote Sensing of Environment , 48 : 220 – 230 .
   Web of Science ®Google Scholar
• Gao , Q. and Yu , M. 1998 . A model of regional vegetation dynamics and its application to the study of Northeast China Transect (NECT) responses to global change. . Global Biogeochemical Cycles , 12 : 329 – 344 .
   Web of Science ®Google Scholar
• Geerken , R. and Ilaiwi , M. 2004 . Assessment of rangeland degradation and development of a strategy for rehabilitation. . Remote Sensing of Environment , 90 : 490 – 504 .
   Web of Science ®Google Scholar
• Jaagus , J. and Ahas , R. 2000 . Space–time variations of climatic seasons and their correlation with the phenological development of nature in Estonia. . Climate Research , 15 : 207 – 219 .
   Web of Science ®Google Scholar
• Kaduk , J. and Heimann , M. 1996 . A prognostic phenology model for global terrestrial carbon cycle models. . Climate Research , 6 : 1 – 19 .
   Web of Science ®Google Scholar
• Lee , R. , Yu , F. and Price , K. P. 2002 . Evaluating vegetation phonological patterns in Inner Mongolia using NDVI time‐series analysis. . International Journal of Remote Sensing , 23 : 2505 – 2512 .
   Web of Science ®Google Scholar
• Lloyd , D. 1990 . A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery. . International Journal of Remote Sensing , 11 : 2269 – 2279 .
   Web of Science ®Google Scholar
• Markon , C. J. , Fleming , M. D. and Binnian , E. F. 1995 . Characteristics of vegetation phenology over the Alaskan landscape using AVHRR time‐series data. . Polar Record , 31 : 179 – 190 .
   Google Scholar
• Menzel , A. and Fabian , P. 2000 . Growing season extended in Europe. . Nature , 397 : 659
   Web of Science ®Google Scholar
• Menzel , A. , Estrella , N. and Fabian , P. 2001 . Spatial and temporal variability of phenological seasons in Germany from 1951 to 1996. . Global Change Biology , 7 : 657 – 666 .
   Web of Science ®Google Scholar
• Moody , A. and Johnson , D. M. 2001 . Land‐surface phenologies from AVHRR using the discrete Fourier transform. . Remote Sensing of Environment , 75 : 305 – 323 .
   Web of Science ®Google Scholar
• Moulin , S. , Kergoat , L. , Viovy , N. and Dedieu , G. 1997 . Global‐scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements. . Journal of Climate , 10 : 1154 – 1170 .
   Web of Science ®Google Scholar
• Myneni , R. B. , Keeling , C. D. , Tucker , C. J. , Asrar , G. and Nemani , R. R. 1997 . Increased plant growth in the northern high latitudes from 1981–1991. . Nature , 386 : 698 – 702 .
   Web of Science ®Google Scholar
• Ni , J. and Zhang , X. 2000 . Climate variability, ecological gradient and the Northeast China Transect (NECT). . Journal of Arid Environments , 46 : 313 – 325 .
   Web of Science ®Google Scholar
• Ni , J. 2003 . Plant functional types and climate along a precipitation gradient in temperate grasslands, north‐east China and south‐east Mongolia. . Journal of Arid Environments , 53 : 501 – 516 .
   Web of Science ®Google Scholar
• Park , J. G. , Tateishi , R. and Matsuoka , M. 1999 . A proposal of Temporal Window Operation (TWO) method to remove high‐frequency noises in AVHRR NDVI time series data. . Journal of the Japan Society of Photogrammetry and Remote Sensing , 38 : 36 – 47 .
   Google Scholar
• Piao , S. , Fang , J. , Zhou , L. , Peciais , P. and Zhu , B. 2006 . Variations in satellite‐derived phenology in China's temperate vegetation. . Global Change Biology , 12 : 672 – 685 .
   Web of Science ®Google Scholar
• Reed , B. C. , Brown , J. F. , VanderZee , D. , Loveland , T. R. , Merchant , J. W. and Ohlen , D. O. 1994 . Measuring phenological variability from satellite imagery. . Journal of Vegetation Science , 5 : 703 – 714 .
   Web of Science ®Google Scholar
• Sakamoto , T. , Yokozawa , M. , Toritani , H. , Shibayama , M. , Ishitsuka , N. and Ohno , H. 2005 . A crop phenology detection method using time‐series MODIS data. . Remote Sensing of Environment , 96 : 366 – 374 .
   Web of Science ®Google Scholar
• Schwartz , M. D. 1999 . Advancing to full bloom: planning phenological research for the 21st century. . International Journal of Biometeorology , 42 : 113 – 118 .
   Web of Science ®Google Scholar
• Sellers , P. J. , Los , S. O. , Tucker , C. J. , Justice , c.o. , Dazlich , D. A. , Collatz , G. J. and Randall , D. A. 1994 . A global 1° by 1° data set for climate studies. Part 2: the generation of global fields of terrestrial biophysical parameters from the NDVI. . International Journal of Remote Sensing , 15 : 3519 – 3545 .
   Web of Science ®Google Scholar
• Sellers , P. J. , Hall , F. , Margolis , H. , Kelly , B. , Baldocchi , D. , Hartog , G. den. , Cihlar , J. , Ryan , M. G. , Goodison , B. , Crill , P. , Ranson , K. J. , Lettenmaier , D. and Wickland , D. E. 1995 . The boreal ecosystem‐atmosphere study (BOREAS): an overview and early results from the 1994 field year. . Bulletin of the American Meteorological Society , 76 : 1549 – 1577 .
   Web of Science ®Google Scholar
• Sparks , T. H. and Carey , P. D. 1995 . The responses of species to climate over 2 centuries: an analysis of the Marsham phenological records, 1736–1947. . Journal of Ecology , 83 : 321 – 329 .
   Web of Science ®Google Scholar
• Suzuki , R. , Nomaki , T. and Yasunari , T. 2003 . West–east contrast of phenology and climate in northern Asia revealed using a remotely sensed vegetation index. . International Journal of Remote Sensing , 47 : 126 – 138 .
   Google Scholar
• Tao , F. , Yokozawa , M. , Hayashi , Y. and Lin , E. 2003 . Changes in agricultural water demands and soil moisture in China over the last half‐century and their effects on agricultural production. . Agricultural and Forest Meteorology , 118 : 251 – 261 .
   Web of Science ®Google Scholar
• Tao , F. , Yokozawa , M. , Xu , Y. , Hayashi , Y. and Zhang , Z. 2006 . Climate changes and trends in phenology and yields of field crops in China, 1981–2000. . Agricultural and Forest Meteorology , 138 : 82 – 92 .
   Web of Science ®Google Scholar
• Tateishi , R. , Wen , C. and Perera , K. 1997 . Global four‐minute land cover data set. . Journal of the Japan Society of Photogrammetry and Remote Sensing , 36 : 66 – 78 .
   Google Scholar
• Tucker , C. J. , Townshend , J. R. G. and Goff , T. E. 1985 . African landcover classification using satellite data. . Science , 227 : 369 – 375 .
   PubMed Web of Science ®Google Scholar
• White , M. A. , Thornton , P. E. and Running , S. W. 1997 . A continental phenology model for monitoring vegetation responses to interannual climatic variability. . Global Biogeochemical Cycles , 11 : 217 – 234 .
   Web of Science ®Google Scholar
• Woltring , H. J. 1986 . A Fortran package for generalized, cross‐validatory spline smoothing and differentiation. . Advances in Engineering Software , 8 : 104 – 113 .
   Web of Science ®Google Scholar
• Yu , F. , Price , K. P. , Ellis , J. and Shi , P. 2003 . Response of seasonal vegetation development to climatic variation in eastern central Asia. . Remote Sensing of Environment , 87 : 42 – 54 .
   Web of Science ®Google Scholar
• Zhang , X. , Friedl , M. A. , Schaaf , C. B. , Strahler , A. H. , Hodges , J. C. F. , Gao , F. , Reed , B. C. and Huete , A. 2003 . Monitoring vegetation phenology using MODIS. . Remote Sensing of Environment , 84 : 471 – 475 .
   Web of Science ®Google Scholar
• Zhang , X. , Friedl , M. A. , Schaaf , C. B. and Strahler , A. H. 2004 . Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data. . Global Change Biology , 10 : 1133 – 1145 .
   Web of Science ®Google Scholar
• Zhang , X. , Gao , Q. , Yang , D. , Zhou , G. , Ni , J. and Wang , Q. 1997 . A gradient analysis and prediction on the North‐East China Transect (NECT) for global change study. . Acta Botanica Sinica , 39 : 785 – 799 .
   Google Scholar
• Zhou , L. M. , Tucker , C. J. , Kaufmann , R. K. , Slayback , D. , Shabanov , N. V. and Myneni , R. 2001 . Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. . Journal of Geophysical Research – Atmosphere , 106 : 20 069 – 20 083 .
   Web of Science ®Google Scholar
• Zhou , G. , Wang , Y. , Jiang , Y. and Xu , Z. 2002 . Carbon balance along the Northeast Transect (NECT‐IGBP). . Science in China (Series C) , 45 : 18 – 29 .
   Google Scholar