Monitoring of long-term vegetation dynamics and responses to droughts of various timescales in Inner Mongolia

被引:12
|
作者
Tong, Siqin [1 ,2 ,3 ]
Bao, Gang [1 ,3 ]
Bao, Yuhai [1 ,3 ]
Huang, Xiaojun [1 ,3 ]
机构
[1] Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot, Peoples R China
[2] Inner Mongolia Normal Univ, Inner Mongolia Key Lab Disaster & Ecol Secur Mongo, Hohhot, Peoples R China
[3] Inner Mongolia Normal Univ, Inner Mongolia Key Lab Remote Sensing & Geog Infor, Hohhot, Peoples R China
来源
ECOSPHERE | 2023年 / 14卷 / 02期
基金
中国国家自然科学基金;
关键词
diverse response; Inner Mongolia; maximum correlation; multi-timescale drought variation; vegetation dynamics; NET PRIMARY PRODUCTION; TEMPORAL VARIABILITY; INDUCED REDUCTION; CLIMATE EXTREMES; PRECIPITATION; PRODUCTIVITY; TEMPERATURE; GROWTH; CHINA; INDEX;
D O I
10.1002/ecs2.4415
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The characteristics of vegetation and drought for different seasons between 1982 and 2015 in Inner Mongolia were studied based on the normalized difference vegetation index (NDVI) and the standardized precipitation evapotranspiration index (SPEI). The response of vegetation to drought over various timescales for different seasons and vegetation types was investigated using the maximum Pearson correlation, allowing a discussion about the possible causes of any changes. The results indicate that the vegetation NDVI in Inner Mongolia showed an increasing trend in different seasons, with spring vegetation NDVI (April-May) having the largest significant increasing rate, followed by the growing season (April-October), autumn (September-October), and summer (June-August). Accordingly, the proportion of stations with decreasing SPEI was, in descending order, summer, growing season, autumn, and spring. Additionally, the magnitude of the SPEI decrease was greater in eastern Inner Mongolia. NDVI and SPEI were positively correlated in most regions of Inner Mongolia, indicating that changes in vegetation in most parts of this region were affected by the spatial and temporal characteristics of drought, the correlation being them being strongest in the growing season, followed by summer, then spring and autumn. Considering the different types of vegetation, forests were less affected by drought, with broadleaf forests more affected than coniferous forests. The meadow steppes and typical steppes were more affected by 12-month droughts in the growing season and summer, 6-month droughts in spring, and 3-month droughts in autumn, with desert steppes mainly affected by 3-month droughts. The shrubs, sandy vegetation, and cropland were mostly affected by droughts in summer, and show a greater response to 3-month droughts in autumn. Finally, the water balance was found to be the most important factor affecting the response of vegetation to drought in Inner Mongolia.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Experimental warming and long-term vegetation dynamics in an alpine heathland
    Wahren, C. -H.
    Camac, J. S.
    Jarrad, F. C.
    Williams, R. J.
    Papst, W. A.
    Hoffmann, A. A.
    AUSTRALIAN JOURNAL OF BOTANY, 2013, 61 (01) : 36 - 51
  • [32] Long-term dynamics of the inner Jovian electron radiation belts
    Sicard, A
    Bourdarie, S
    Krupp, N
    Lagg, A
    Boscher, D
    Santos-Costa, D
    Gerard, E
    Galopeau, P
    Bolton, S
    Sault, R
    Williams, DJ
    COMPARATIVE MAGNETOSPHERES, 2004, 33 (11): : 2039 - 2044
  • [33] Are long-term vegetation dynamics useful in monitoring and assessing desertification processes in the arid steppe, southern Tunisia
    Hanafi, A.
    Jauffret, S.
    JOURNAL OF ARID ENVIRONMENTS, 2008, 72 (04) : 557 - 572
  • [34] Robust combs for long-term optical timescales
    Droste, Stefan
    Deschenes, Jean-Daniel
    Sinclair, Laura C.
    Herman, Daniel I.
    Swann, William C.
    Newbury, Nathan R.
    Coddington, Ian
    2016 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2016,
  • [35] Comprehensive assessment of baseflow responses to long-term meteorological droughts across the United States
    Lee, Sanghyun
    Ajami, Hoori
    JOURNAL OF HYDROLOGY, 2023, 626
  • [36] MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland
    Gong, Z.
    Kawamura, K.
    Ishikawa, N.
    Goto, M.
    Wulan, T.
    Alateng, D.
    Yin, T.
    Ito, Y.
    SOLID EARTH, 2015, 6 (04) : 1185 - 1194
  • [37] The neuronal response at extended timescales: long-term correlations without long-term memory
    Soudry, Daniel
    Meir, Ron
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2014, 8
  • [38] Palaeoclimate and vegetation - long-term vegetation dynamics in central Europe with particular reference to beech
    Pott, R
    PHYTOCOENOLOGIA, 2000, 30 (3-4) : 285 - 333
  • [39] DETECTING VEGETATION PHENOLOGY IN VARIOUS FOREST TYPES USING LONG-TERM MODIS VEGETATION INDICES
    Lee, Bora
    Kim, Eunsook
    Lim, Jong-Hwan
    Seo, Bumsuk
    Chung, Jae-Min
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 5243 - 5246
  • [40] VEGETATION RESPONSES TO LONG-TERM SHEEP GRAZING ON MOUNTAIN-RANGES
    BOWNS, JE
    BAGLEY, CF
    JOURNAL OF RANGE MANAGEMENT, 1986, 39 (05): : 431 - 434