No evidence of continuously advanced green-up dates in the Tibetan Plateau over the last decade.

Zhang et al. (1) report that the green-up dates in the Tibetan Plateau (TP) have continuously advanced from 1982 to 2011. They retrieved green-up dates from the multiannual time-series of Normalized Difference Vegetation Index (NDVI) using the method proposed by Piao et al. (2). This method assumes that the nongrowing season NDVI values remain constant among the different years and thus requires sophisticated preprocess of the nongrowing season NDVI. Otherwise, the retrieved green-up dates by the step of polynomial fitting will be negatively biased (i.e., advanced) by the increase in the nongrowing season NDVI (Fig. 1A). As shown in Fig. 1B [also in figures S1 and S3 of Zhang et al. (1)], there is indeed an increase in the nongrowing season Système Pour l’Observation de la Terre (SPOT) NDVI for the steppes and meadows in the TP. After eliminating the impact of nongrowing season NDVI increase, we found no change of green-up dates in 2009–2011 compared with that in 1998–2000 (Fig. 1B). A similar result was also found using the Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI data (Fig. 1C). Furthermore, because the green-up onset in the TP usually occurs in May and June during the period from 1998 to 2011 (1, 3, 4), the advance in green-up dates should result in an increase in the difference of NDVI between May and April, according to the method for retrieving green-up dates (2). However, such increase was not found in the NDVI datasets from both SPOT and MODIS (Fig. 1D). Therefore, so far, there is no evidence for the continuously advancing trend of green-up dates in the TP over the last decade. The continuously advancing trend of green-up dates revealed by Zhang et al. (1) is likely caused by not correcting for the increased nongrowing season NDVI. Satellite-derived greenness vegetation indices provide a valuable way to retrieve spatially continuous information about phenological change and have been thus widely used to assess the influences of climatic changes on vegetation, especially in the TP (2, 4, 5), where field observations are scarce. However, satellite-derived phenology should be viewed with caution because vegetation indices are easily contaminated by adverse meteorological conditions and other factors, such as background changes, in particular during the green-up times when the signal from vegetation is weak.