蒙古高原干旱时空特征及对植被物候的累积影响

doi:10.13866/j.azr.2024.09.11

Abstract

Abstract:

The Mongolian Plateau is a crucial ecological zone in northern China. The SPEIbase 2.9 dataset and the logistic curvature extremum method based on cumulative NDVI data were used to elucidate the spatiotemporal dynamics of drought and its impact on vegetation phenology in the Mongolian Plateau. The vegetation phenology dataset was inverted to explore the cumulative impact of drought on the start and end of the growing season (SOS and EOS, respectively) in the Mongolian Plateau from 1982 through 2022. Different time scales of Standardized Precipitation Evapotranspiration Index (SPEI) showed significant decreasing trends. With larger timescales, the drought degree intensified, and the area of drought increased significantly. The droughts were particularly severe in the central and western regions. Earlier and later SOS were observed in 50.03% and 49.97% of regions, respectively, and later and earlier EOS were observed in 67.85% and 32.15% of regions, respectively. Overall, SOS and EOS were delayed in the desert steppe. In contrast, the SOS occurred earlier significantly and the EOS occurred later both in the coniferous forest and in northern part of the forest steppe. Positive correlation values for SPEI and SOS were maximal during a 1-12 months timescales for 79.62% of the region in the Mongolian Plateau (excluding deserts); over an intermediate-term timescale, a drought duration of 7-9 months had a significant impact on the SOS. Negative correlations between SPEI and EOS over a 1-12 months timescales were highest for 54.15% of the study area, primarily over a 1-3 months timescales. Our findings can help elucidate the factors critical for drought prevention and predict its impact on vegetation phenology and productivity in the Mongolian Plateau.

Key words: drought, vegetation phenology, start of the growing season (SOS), end of the growing season (EOS), Mongolian Plateau

ZHANG Qiaofeng, YU Hongbo, HUANG Fang. The spatiotemporal dynamics of drought and the cumulative impact on vegetation phenology in the Mongolian Plateau[J].Arid Zone Research, 2024, 41(9): 1548-1559.

Figures/Tables 7

Fig. 1

Tab. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

References 41

[1]	Lee H, Romero J. Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[M]. Geneva, Switzerland: IPCC, 2023.
[2]	Stott P. How climate change affects extreme weather events[J]. Science, 2016, 352(6293): 1517-1518.
[3]	Pachauri R K, Allen M R, Barros V R, et al. Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change[M]. Geneva, Switzerland: IPCC, 2014.
[4]	朴世龙. 近20年来中国植被对气候变化的响应[D]. 北京: 北京大学, 2004.
	[Piao Shilong. Vegetation Response to Climate Change in China in the Past 20 Years[D]. Beijing: Peking University, 2004.]
[5]	竺可桢. 中国近5000年来气候变迁的初步研究[J]. 考古学报, 1972(1): 168-189.
	[Zhu Kezhen. A preliminary study on climate change in China over the last 5000 years[J]. Acta Archaeological Sinica, 1972(1): 168-189.]
[6]	Liu L, Zhang X. Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016[J]. Scientific Reports, 2020, 10(1): 17952.
[7]	Bao G, Chen J, Chopping M, et al. Dynamics of net primary productivity on the Mongolian Plateau: Joint regulations of phenology and drought[J]. International Journal of Applied Earth Observation and Geoinformation, 2019, 81: 85-97.
[8]	Cai Q, Chen W, Chen S, et al. Recent pronounced warming on the Mongolian Plateau boosted by internal climate variability[J]. Nature Geoscience, 2024, 17: 1-8.
[9]	Easterling D R, Meehl G A, Parmesan C, et al. Climate extremes: Observations, modeling, and impacts[J]. Science, 2000, 289(5487): 2068-2074. doi: 10.1126/science.289.5487.2068 pmid: 11000103
[10]	秦福莹. 蒙古高原植被时空格局对气候变化的响应研究[D]. 呼和浩特: 内蒙古大学, 2019.
	[Qin Fuying. Vegetation Patterns and Dynamics in Response to Climate Change Across the Mongolian Plateau[D]. Hohhot: Inner Mongolia University, 2019.]
[11]	《中国气象灾害大典》编委会. 中国气象灾害大典内蒙古卷[M]. 北京: 气象出版社, 2008.
	[Editorial Board of China Meteorological Disaster Dictionary. Inner Mongolia Volume of China Meteorological Disaster Dictionary[M]. Beijing: Meteorological Publishing House, 2008.]
[12]	Rao M P, Davi N K, D’Arrigo R D, et al. Dzuds, droughts, and livestock mortality in Mongolia[J]. Environmental Research Letters, 2015, 10(7): 074012.
[13]	Begzsuren S, Ellis J E, Ojima D S, et al. Livestock responses to droughts and severe winter weather in the Gobi Three Beauty National Park, Mongolia[J]. Journal of Arid Environments, 2004, 59(4): 785-796.
[14]	丹丹. 蒙古高原近35 a气候变化[D]. 呼和浩特: 内蒙古师范大学, 2014.
	[Dan Dan. Climate Changes in Mongolian Plateau during Last 35 Years[D]. Hohhot: Inner Mongolia Normal University, 2014.]
[15]	Lu C, Tian H, Zhang J, et al. Severe long-lasting drought accelerated carbon depletion in the Mongolian Plateau[J]. Geophysical Research Letters, 2019, 46(10): 5303-5312.
[16]	Piao S, Tan J, Chen A, et al. Leaf onset in the northern hemisphere triggered by daytime temperature[J]. Nature Communications, 2015, 6: 6911. doi: 10.1038/ncomms7911 pmid: 25903224
[17]	Javed T, Li Y, Feng K, et al. Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China[J]. Environmental Science and Pollution Research, 2021, 28(3): 3644-3659.
[18]	Ma X, Huete A, Moran S, et al. Abrupt shifts in phenology and vegetation productivity under climate extremes[J]. Journal of Geophysical Research: Biogeosciences, 2015, 120(10): 2036-2052.
[19]	Luo M, Meng F, Sa C, et al. Response of vegetation phenology to soil moisture dynamics in the Mongolian Plateau[J]. Catena, 2021, 206: 105505.
[20]	张雨惠, 萨楚拉, 孟凡浩, 等. 蒙古高原植被返青期对气候、积雪、土壤水变化的响应特征研究[J]. 遥感技术与应用, 2023, 38(6): 1338-1349. doi: 10.11873/j.issn.1004-0323.2023.6.1338
	[Zhang Yuhui, Sa Chula, Meng Fanhao, et al. Response characteristics of vegetation reforestation period to climate, snow cover and soil water in Mongolian Plateau[J]. Remote Sensing Technology and Application, 2023, 38(6): 1338-1349.]
[21]	Tong S, Lai Q, Zhang J, et al. Spatiotemporal drought variability on the Mongolian Plateau from 1980-2014 based on the SPEI-PM, intensity analysis and Hurst exponent[J]. Science of the Total Environment, 2018, 615: 1557-1565.
[22]	Chen Huopo, Sun Jianqi. Changes in drought characteristics over China using the Standardized Precipitation Evapotranspiration Index[J]. Journal of Climate, 2015, 28: 5430-5447.
[23]	Goble P E, Bolinger R A, Schumacher R S. A CONUS-wide Standardized Precipitation-Evapotranspiration Index for major US row crops[J]. Journal of Hydrometeorology, 2021, 22(12): 3141-3158.
[24]	Allen R G, Pereira L S, Raes D, et al. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56[M]. Rome: FAO, 1998.
[25]	Wang Y, Liu G, Guo E. Spatial distribution and temporal variation of drought in Inner Mongolia during 1901-2014 using Standardized Precipitation Evapotranspiration Index[J]. Science of the Total Environment, 2019, 654: 850-862.
[26]	Zhang X, Friedl M A, Schaaf C B, et al. Climate controls on vegetation phenological patterns in northern mid-and high latitudes inferred from MODIS data[J]. Global Change Biology, 2004, 10(7): 1133-1145.
[27]	Hou X, Gao S, Niu Z, et al. Extracting grassland vegetation phenology in North China based on cumulative SPOT-VEGETATION NDVI data[J]. International Journal of Remote Sensing, 2014, 35(9): 3316-3330.
[28]	Zhang X, Friedl M A, Schaaf C B, et al. Monitoring vegetation phenology using MODIS[J]. Remote Sensing of Environment, 2003, 84(3): 471-475.
[29]	Eklundh L, Jonsson P. Timesat 3.0 Software Manual[M]. Sweden: Lund University, 2009.
[30]	姜康, 包刚, 乌兰图雅, 等. 2001-2017年蒙古高原不同植被返青期变化及其对气候变化的响应[J]. 生态学杂志, 2019, 38(8): 2490-2499.
	[Jiang Kang, Bao Gang, Wulan Tuya, et al. Variations in spring phenology of different vegetation types in the Mongolian Plateau and its responses to climate change during 2001-2017[J]. Chinese Journal of Ecology, 2019, 38(8): 2490-2499.]
[31]	Tong S, Zhang J, Bao Y, et al. Analyzing vegetation dynamic trend on the Mongolian Plateau based on the Hurst exponent and influencing factors from 1982-2013[J]. Journal of Geographical Sciences, 2018, 28(5): 595-610. doi: 10.1007/s11442-018-1493-x
[32]	Pettitt A N. A non-parametric approach to the change-point problem[J]. Journal of the Royal Statistical Society: Series C (Applied Statistics), 1979, 28(2): 126-135.
[33]	Jaiswal R K, Lohani A K, Tiwari H L. Statistical analysis for change detection and trend assessment in climatological parameters[J]. Environmental Processes, 2015, 2: 729-749.
[34]	Jia L, Li Z, Xu G, et al. Dynamic change of vegetation and its response to climate and topographic factors in the Xijiang River basin, China[J]. Environmental Science and Pollution Research, 2020, 27: 11637-11648.
[35]	乌日娜, 刘步云, 包玉海. 干旱对中国北方草原总初级生产力影响的时滞和累积效应[J]. 干旱区研究, 2023, 40(10): 1644-1660. doi: 10.13866/j.azr.2023.10.11
	[Wu Rina, Liu Buyun, Bao Yuhai. Time lag and cumulative effect of drought on gross primary productivity in the grasslands of northern China[J]. Arid Zone Research, 2023, 40(10): 1644-1660.] doi: 10.13866/j.azr.2023.10.11
[36]	Jiang L, Yao Z, Huang H Q. Climate variability and change on the Mongolian Plateau: Historical variation and future predictions[J]. Climate Research, 2016, 67(1): 1-14.
[37]	张惠婷, 孟凡浩, 萨楚拉, 等. 2001—2019年蒙古高原生态系统质量时空格局变化及归因分析[J]. 生态学杂志, 2023, 42(2): 425-435.
	[Zhang Huiting, Meng Fanhao, Sa Chula, et al. Spatiotemporal variation and their cause analysis ecosystem quality in Mongolian Plateau during 2001 to 2019[J]. Chinese Journal of Ecology, 2023, 42(2): 425-435.]
[38]	Wu X, Liu H, Li X, et al. Differentiating drought legacy effects on vegetation growth over the temperate Northern Hemisphere[J]. Global Change Biology, 2018, 24(1): 504-516. doi: 10.1111/gcb.13920 pmid: 28973825
[39]	王佳新. 蒙古高原土壤水分时空变化及其对草地植被物候的影响[D]. 呼和浩特: 内蒙古师范大学, 2021.
	[Wang Jiaxin. Spatiotemporal Variation of Soil Moisture and Its Effect on Grassland Vegetation Phenology in the Mongolian Plateau[D]. Hohhot: Inner Mongolia Normal University, 2021.]
[40]	Zeng Z, Wu W, Ge Q, et al. Legacy effects of spring phenology on vegetation growth under preseason meteorological drought in the Northern Hemisphere[J]. Agricultural and Forest Meteorology, 2021, 310: 108630.
[41]	Myneni R B, Keeling C D, Tucker C J, et al. Increased plant growth in the northern high latitudes from 1981 to 1991[J]. Nature, 1997, 386: 698-702.

干旱等级	SPEI
无旱	SPEI>-0.5
轻旱	-1.0<SPEI≤-0.5
中旱	-1.5<SPEI≤-1.0
重旱	-2.0<SPEI≤-1.5
特旱	SPEI≤-2.0

The spatiotemporal dynamics of drought and the cumulative impact on vegetation phenology in the Mongolian Plateau

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 41

Related Articles 15

Metrics

Comments

Recommended 0

[1]	LU Wenjing, QU Deye, YANG Mingyue, HUANG Hanlin, YANG Shanquan. GCM-based stable isotope modelling of precipitation in the Mongolian Plateau [J]. Arid Zone Research, 2024, 41(9): 1491-1502.
[2]	LI Ye, JIANG Wei, CHEN Xiaojun, WU Yingjie, WANG Sinan. Drought trends in Ordos from 1961 to 2020 based on meteorological precipitation anomaly percentage [J]. Arid Zone Research, 2024, 41(7): 1099-1111.
[3]	ZHANG Bin, LI Congjuan, Yi Guangping, LIU Ran. Physiological, biochemical and morphological responses of Haloxylon ammodendron and Calligonum caput-medusae to drought stress [J]. Arid Zone Research, 2024, 41(7): 1177-1184.
[4]	SHAN Jian'an, ZHU Rui, YIN Zhenliang, YANG Huaqing, ZHANG Wei, FANG Chunshuang. Spatial and temporal variation of drought in Northwest China based on CMIP6 model [J]. Arid Zone Research, 2024, 41(5): 717-729.
[5]	XU Chaojie, DOU Yan, MENG Qilin. Prediction of the standardized precipitation evapotranspiration index in the Xinjiang region using the EMD-GWO-LSTM model [J]. Arid Zone Research, 2024, 41(4): 527-539.
[6]	TAO Jifeng, BAO Yulong, GUO Enliang, Jin Eerdemutu, Husile , BAO Yuhai. Characteristics of the spatial and temporal evolution of winter drought in Inner Mongolia over the past 40 years [J]. Arid Zone Research, 2024, 41(3): 387-398.
[7]	ZHOU Yi, SUO Wenjiao. Spatialtemporal variation characteristics of drought in the Fenhe River Basin based on CWSI [J]. Arid Zone Research, 2024, 41(2): 191-199.
[8]	ZHANG Lingxue, LI Xiaofeng, QU Jun, MA Meiyu, ZHANG Jianbin, LI Yaoming. Effects of water and salt stress on the physiological growth characteristics of Atriplex canescens [J]. Arid Zone Research, 2024, 41(10): 1767-1777.
[9]	BAI Ju, LIU Xiaolin, LI Shen, LIANG Zheming, XU Zihang, WANG Yongliang, YANG Zhiping. Mechanism of sludge alkaline thermal hydrolysis liquid on the growth of Brassica chinensis under drought stress [J]. Arid Zone Research, 2024, 41(1): 80-91.
[10]	YAN Qiaofang, SHAN Lishan, XIE Tingting, WANG Hongyong, SHI Yating. Morphological characteristics of the leaves and roots of Caroxylon passerinum seedlings in response to drought-induced stress [J]. Arid Zone Research, 2024, 41(1): 92-103.
[11]	LYU Xiaoyu, GUO Hao, MENG Xiangchen, BAO Anming, TIAN Yunfei, ZHU Li. Characterization of the evolution of drought events in China based on 3D identification [J]. Arid Zone Research, 2023, 40(6): 849-962.
[12]	LI Feifei, ZHOU Xia, ZHOU Yuxi. Vulnerability assessment and spatiotemporal distribution of agricultural drought in Northwest China [J]. Arid Zone Research, 2023, 40(4): 663-669.
[13]	SUN Qixing, YANG Xiaodong, LI Borui, KONG Cuicui, Elhamjan ANWAR, ZHOU Jie, LYU Guanghui. Effects of hydraulic traits on the species abundance distribution pattern of desert plant communities [J]. Arid Zone Research, 2023, 40(3): 412-424.
[14]	XU Mengqi, GAO Yanju, ZHANG Zhihao, HUANG Caibian, ZENG Fanjiang. Effects of drought stress on growth and physiology of Alhagi sparsifolia seedlings [J]. Arid Zone Research, 2023, 40(2): 257-267.
[15]	HU Huanqiong, LI Li, YU Jun, LIANG Hailian, LYU Ruiheng. Differences in the response to soil drought in Atriplex canescens and Tamarix ramosissima [J]. Arid Zone Research, 2023, 40(12): 2007-2015.