2017
DOI: 10.1002/met.1669
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Temporal and spatial variations of the thermal growing season in China during 1961–2015

Abstract: Based on the daily mean air temperature at 1863 meteorological stations over China from 1961 to 2015, the temporal and spatial tendencies in the growing season parameters (the start date of the growing season, GSS; the end date of the growing season, GSE; and the length of the growing season, GSL) for 0, 3, 5 and 10 °C temperature thresholds were investigated; the results showed that in the past 55 years GSL exhibited a significant extending trend at speeds of 1.5–5.0 days per 10 years in most areas of northwe… Show more

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Cited by 12 publications
(7 citation statements)
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“…Decreasing trends in E 0 across China and in most climatic regions occurred from 1961 to 2008, except for the cold temperate humid region in northeast China (NEC; Yin et al ., 2010). In this study, to detect the regional differences in the climate seasonality, the study area was divided into six subregions according to previous studies, including NEC, north China (NC), northwest China (NWC), east China (EC), central south China (CSC), and southwest China (SWC), which is in line with previous studies (Shi et al ., 2016; Li et al ., 2017; Cui et al ., 2018). Table 1 lists the mean values of the climatic variables in each subregion.…”
Section: Methodsmentioning
confidence: 99%
“…Decreasing trends in E 0 across China and in most climatic regions occurred from 1961 to 2008, except for the cold temperate humid region in northeast China (NEC; Yin et al ., 2010). In this study, to detect the regional differences in the climate seasonality, the study area was divided into six subregions according to previous studies, including NEC, north China (NC), northwest China (NWC), east China (EC), central south China (CSC), and southwest China (SWC), which is in line with previous studies (Shi et al ., 2016; Li et al ., 2017; Cui et al ., 2018). Table 1 lists the mean values of the climatic variables in each subregion.…”
Section: Methodsmentioning
confidence: 99%
“…Accurate identification and characterization of abandoned agricultural land starts by firstly defining the growing season phenological metrics such as the start of season (SOS), end of season (EOS), and length of season (LOS) in the study area. In this context, researchers have used various methods to define growing season metrics such as in situ observations, model simulations, and satellite-based vegetation indices (VIs) [ 7 , 8 , 9 ]. In this regard, the last of those is the most used as it offers an opportunity to capture vegetation phenology across various spatial and temporal scales [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Intensifying studies within the last decade in various parts of the world to understand and quantify the GSP changes in response to global warming report that there have been an earlier growing season start (GSS) and a later growing season end (GSE), and hence a lengthening of the growing season, e.g. in China (Liu et al ., ; Jiang et al ., ; Dong et al ., ; Cui et al ., ), in Poland (Graczyk and Kundzewicz, ; Tomczyk and Szyga‐Pluta, ), in Germany (Menzel et al ., ), in the United States (Robeson, ) and in the Greater Baltic Area (Walther and Linderholm, ).…”
Section: Introductionmentioning
confidence: 99%