Spatiotemporal variation of autumn phenology responses to preseason drought and temperature in alpine and temperate grasslands in China

被引:20
作者
Yuan, Zhihui [1 ,2 ,3 ]
Tong, Siqin [1 ]
Bao, Gang [1 ,2 ]
Chen, Jiquan [4 ]
Yin, Shan [1 ]
Li, Fei [5 ]
Sa, Chula [1 ]
Bao, Yuhai [1 ,2 ]
机构
[1] Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China
[2] Inner Mongolia Normal Univ, Inner Mongolia Key Lab Remote Sensing & Geog Infor, Hohhot 010022, Peoples R China
[3] Dept Nat Resources, Wulanchabu 012000, Peoples R China
[4] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48823 USA
[5] Chinese Acad Agr Sci, Grassland Res Inst, Hohhot 010010, Peoples R China
基金
中国国家自然科学基金;
关键词
End of the vegetation growing season; Temperate and alpine grasslands; Drought; Temperature; Spatiotemporal pattern; NET ECOSYSTEM PRODUCTIVITY; GREEN-UP DATE; CLIMATE-CHANGE; TIME-SERIES; VEGETATION PHENOLOGY; ABOVEGROUND BIOMASS; SEMIARID ECOSYSTEMS; DECIDUOUS FOREST; TIBETAN PLATEAU; GROWING-SEASON;
D O I
10.1016/j.scitotenv.2022.160373
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We investigate the spatiotemporal patterns and environmental controls of the end of the vegetation growing season (EOS) in autumn across the alpine and temperate grasslands of China from 2001 through 2020, focusing on whether the EOS is likely a "dryness effect" due to drought or a "coolness effect" caused by cold temperature in autumn. The results show that the EOS date is earlier (similar to 6 days earlier on average) in alpine grasslands than in temperate grasslands. During 2001-2020, a slight non-significant delay of 1.0 day/decade is observed for the regional averaged EOS, which is mostly induced by the delayed EOS in 64.4 % of the study region. Preseason temperature (1-2 months before the EOS) exerts a positive control on the EOS in most of the alpine grasslands and some regions of the eastern part of the temperate grasslands, while drought with a mean length of 3.2 months before the EOS exerts positive effects on the EOS in the central, southwestern, and western parts of the temperate grasslands and in the northeastern part of the alpine grasslands. The positive effects of temperature and drought are very likely phenomena reflecting that the EOS is the "coolness effect" associated with lower temperatures in autumn and the "dryness effect" due to drought, especially meteorological drought without consideration of soil moisture, in late summer and/or early autumn, respec-tively. Our findings are supported by an analysis of the spatial patterns of the cold degree days (CDD) and EOS sensi-tivity to the CDD. However, the negative effects of drought are also found in eastern temperate grasslands, likely caused by decreased temperature accompanied by increased moisture. The results presented here highlight the impor-tance of incorporating the impacts of droughts on EOS variability, as well as their interactive effects with temperature, into current vegetation autumn phenology models for grasslands.
引用
收藏
页数:14
相关论文
共 83 条
  • [21] Evidence of increased net ecosystem productivity associated with a longer vegetated season in a deciduous forest in south-central Indiana, USA
    Dragoni, Danilo
    Schmid, Hans Peter
    Wayson, Craig A.
    Potter, Henry
    Grimmond, C. Susan B.
    Randolph, James C.
    [J]. GLOBAL CHANGE BIOLOGY, 2011, 17 (02) : 886 - 897
  • [22] Larger temperature response of autumn leaf senescence than spring leaf-out phenology
    Fu, Yongshuo H.
    Piao, Shilong
    Delpierre, Nicolas
    Hao, Fanghua
    Hanninen, Heikki
    Liu, Yongjie
    Sun, Wenchao
    Janssens, Ivan A.
    Campioli, Matteo
    [J]. GLOBAL CHANGE BIOLOGY, 2018, 24 (05) : 2159 - 2168
  • [23] Strong contribution of autumn phenology to changes in satellite-derived growing season length estimates across Europe (1982-2011)
    Garonna, Irene
    De Jong, Rogier
    De Wit, Allard J. W.
    Mucher, Caspar A.
    Schmid, Bernhard
    Schaepman, Michael E.
    [J]. GLOBAL CHANGE BIOLOGY, 2014, 20 (11) : 3457 - 3470
  • [24] Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China
    Ge, Wenyan
    Han, Jianqiao
    Zhang, Daojun
    Wang, Fei
    [J]. ECOLOGICAL INDICATORS, 2021, 127
  • [25] NDVI Indicates Long-Term Dynamics of Vegetation and Its Driving Forces from Climatic and Anthropogenic Factors in Mongolian Plateau
    Guo, Enliang
    Wang, Yongfang
    Wang, Cailin
    Sun, Zhongyi
    Bao, Yulong
    Mandula, Naren
    Jirigala, Buren
    Bao, Yuhai
    Li, He
    [J]. REMOTE SENSING, 2021, 13 (04) : 1 - 28
  • [26] Gutman G., 2020, LANDSCAPE DYNAMICS D
  • [27] Extracting grassland vegetation phenology in North China based on cumulative SPOT-VEGETATION NDVI data
    Hou, Xuehui
    Gao, Shuai
    Niu, Zheng
    Xu, Zhigang
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (09) : 3316 - 3330
  • [28] Overview of the radiometric and biophysical performance of the MODIS vegetation indices
    Huete, A
    Didan, K
    Miura, T
    Rodriguez, EP
    Gao, X
    Ferreira, LG
    [J]. REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) : 195 - 213
  • [29] Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008
    Jeong, Su-Jong
    Ho, Chang-Hoi
    Gim, Hyeon-Ju
    Brown, Molly E.
    [J]. GLOBAL CHANGE BIOLOGY, 2011, 17 (07) : 2385 - 2399
  • [30] A new multi-sensor integrated index for drought monitoring
    Jiao, Wenzhe
    Tian, Chao
    Chang, Qing
    Novick, Kimberly A.
    Wang, Lixin
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2019, 268 : 74 - 85