PDF Download HTML

]" id="html" rel="external">HTML

[1]LU Qing,LIU Genlin,YAN Bing,et al.Variation of Extreme Precipitation Events and Their Impacts on Vegetation Coverage in Central Asia Under Climate Warming[J].Research of Soil and Water Conservation,2021,28(04):226-235.

Copy

Variation of Extreme Precipitation Events and Their Impacts on Vegetation Coverage in Central Asia Under Climate Warming

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 04 Page number: 226-235 Column: Public date: 2021-08-10

Title:: Variation of Extreme Precipitation Events and Their Impacts on Vegetation Coverage in Central Asia Under Climate Warming

Author(s):: LU Qing¹, LIU Genlin¹, YAN Bing², JIAO Linlin³, ZHAO Dongsheng⁴; (1.School of Geomatics, East China University of Technology, Nanchang 330013, China; 2.Institute of Energy, Jiangxi Academy of Science, Nanchang 330096, China; 3.College of Mining Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China; 4.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

Keywords:: climate change; extreme precipitation index; NDVI; temperature; Central Asia

CLC:: P46;Q948.1

DOI:: -

Abstract:: In order to understand the spatiotemporal variation characteristics of extreme precipitation events in Central Asia under the background of climate warming, based on the data of GLDAS and GIMMS NDVI from 1982 to 2014, linear trend, moving average, M-K non-parametric test and correlation analysis were used in this research. The results showed that the temperature of growing season in Central Asia has increased significantly in the past 33 years, and the precipitation and each extreme precipitation index in growing season were weakly increasing; in addition to the continuous dry days(CDD), other extreme precipitation indexes experienced a sudden change in the 1990s; since the beginning of the 21st century, the frequency and intensity of extreme precipitation have been greater than before, and precipitation has become more concentrated; the spatial distribution characteristics of the average extreme precipitation index were consistent with the precipitation, which showed a gradual increasing trend from southwest to northeast; except for CDD, the area of the extreme precipitation index showing a significant increase trend was larger than that of the precipitation; the mean NDVI value in the growing season was significantly positively correlated with the extreme precipitation indexes other than CDD, which was extremely significantly positively correlated with maximum precipitation for 5 consecutive days(RX_5day), precipitation intensity(SDII), number of heavy precipitation days(R₁₀), number of very heavy precipitation days(R₂₀), extremely wet days(R_99p)(p<0.01), and was negatively correlated with CDD and the average temperature of the growing season(TEMP). Precipitation is the main control factor for vegetation growth in Central Asia. The regions where NDVI and the extreme precipitation indexes other than CDD were significantly positively correlated mainly concentrated in areas with high precipitation.

References:: [1] 沈永平,王国亚.IPCC第一工作组第五次评估报告对全球气候变化认知的最新科学要点[J].冰川冻土,2013,35(5):1068-1076.
[2] 秦大河, Thomas Stocker, 259名作者和TSU(驻伯尔尼和北京).IPCC第五次评估报告第一工作组报告的亮点结论[J].气候变化研究进展,2014,10(1):1-6.
[3] 朱大运,熊康宁,肖华.贵州省极端气温时空变化特征分析[J].资源科学,2018,40(8):1672-1683.
[4] Fernandez-Gimenez M E, Batkhishig B, Batbuyan B. Cross-boundary and cross-level dynamics increase vulnerability to severe winter disasters(dzud)in Mongolia[J]. Global Environmental Change, 2012,22(4):836-851.
[5] Min S K, Son S W, Seo K H, et al. Changes in weather and climate extremes over Korea and possible causes:A review[J]. Asia-Pacific Journal of Atmospheric Sciences, 2015,51(2):103-121.
[6] 柏会子,肖登攀,刘剑锋,等.1965—2014年华北地区极端气候事件与农业气象灾害时空格局研究[J].地理与地理信息科学,2018,34(5):105-111.
[7] Wang R, Cherkauer K, Bowling L. Corn response to climate stress detected with satellite-based NDVI time series[J]. Remote Sensing, 2016,8(4).DOI: 10.3390/rs8040269.
[8] Tan Z Q, Tao H, Jiang J H, et al. Influences of climate extremes on NDVI(Normalized Difference Vegetation Index)in the Poyang Lake Basin, China[J]. Wetlands, 2015,35(6):1033-1042.
[9] Li X H, Lei S G, Cheng W, et al. Spatio-temporal dynamics of vegetation in Jungar Banner of China during 2000—2017[J]. Journal of Arid Land, 2019,11(6):837-854.
[10] Chu H S, Venevsky S, Wu C, et al. NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015[J]. Science of the Total Environment, 2019,650:2051-2062.
[11] Zhou L M, Tucker C J, Kaufmann R K, et al. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999[J]. Journal of Geophysical Research:Atmospheres, 2001,106(D17):20069-20083.
[12] Lloret F, Escudero A, Iriondo J M, et al. Extreme climatic events and vegetation:The role of stabilizing processes[J]. Global Change Biology, 2012,18(3):797-805.
[13] Li C L, Wang J, Hu R C, et al. Relationship between vegetation change and extreme climate indices on the Inner Mongolia Plateau, China, from 1982 to 2013[J]. Ecological Indicators, 2018,89:101-109.
[14] Liu G, Liu H Y, Yin Y. Global patterns of NDVI-indicated vegetation extremes and their sensitivity to climate extremes[J]. Environmental Research Letters, 2013,8(2). DOI:10.1088/1748-9236/8/2/025009.
[15] 王晓利,侯西勇.1982—2014年中国沿海地区归一化植被指数(NDVI)变化及其对极端气候的响应[J].地理研究,2019,38(4):69-83.
[16] 殷刚,孟现勇,王浩,等.1982—2012年中亚地区植被时空变化特征及其与气候变化的相关分析[J].生态学报,2017,37(9):3149-3163.
[17] 陈发虎,黄伟,靳立亚,等.全球变暖背景下中亚干旱区降水变化特征及其空间差异[J].中国科学:地球科学,2011,41(11):1647-1657.
[18] 朱士华,艳燕,邵华,等.1980—2014年中亚地区植被净初级生产力对气候和CO₂变化的响应[J].自然资源学报,2017,32(11):1844-1856.
[19] 沈伟峰,缪启龙,魏铁鑫,等.中亚地区近130多a温度变化特征[J].干旱气象,2013,31(1):32-36.
[20] Li Z, Chen Y L, Li W H, et al. Potential impacts of climate change on vegetation dynamics in Central Asia[J]. Journal of Geophysical Research:Atmospheres, 2015,120(24):12345-12356.
[21] Zhang M, Chen Y L, Shen Y J, et al. Changes of precipitation extremes in arid Central Asia[J]. Quaternary International, 2017,436:16-27.
[22] Xu H J, Wang X P, Zhang X X. Decreased vegetation growth in response to summer drought in Central Asia from 2000 to 2012[J]. International Journal of Applied Earth Observation and Geoinformation, 2016,52:390-402.
[23] 胡汝骥,姜逢清,王亚俊,等.中亚(五国)干旱生态地理环境特征[J].干旱区研究,2014,31(1):1-12.
[24] Chen F H, Wang J S, Jin L Y, et al. Rapid warming in mid-latitude central Asia for the past 100 years[J]. Frontiers of Earth Science in China, 2009,3(1):42-50.
[25] Li B, Beaudoing H, Rodell M, et al. GLDAS Catchment Land Surface Model L4 daily 0.25×0.25 degree V2.0[Z]. Greenbelt, Maryland, USA: Goddard Earth Sciences Data and Information Services Center(Ges Disc),2018.
[26] Houser P R. Land data assimilation systems[J]. Bullamermeteorsoc, 2004,85(3):381-394.
[27] Piao S L, Wang X H, Ciais P, et al. Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006[J]. Global Change Biology, 2011,17(10):3228-3239.
[28] Mohammat A, Wang X H, Xu X T, et al. Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia[J]. Agricultural and Forest Meteorology, 2013,178/179:21-30.
[29] Sillmann J, Kharin V V, Zhang X, et al. Climate extremes indices in the CMIP5 multimodel ensemble:Part 1. Model evaluation in the present climate[J]. Journal of Geophysical Research Atmospheres, 2013,118(4):1716-1733.
[30] Sillmann J, Kharin V V, Zwiers F W, et al. Climate extremes indices in the CMIP5 multimodel ensemble:Part 2. Future climate projections[J]. Journal of Geophysical Research Atmospheres, 2013,118(6):2473-2493.
[31] Arefi I H, Saffari M, Moradi R. Evaluating planting date and variety management strategies for adapting winter wheat to climate change impacts in arid regions[J]. International Journal of Climate Change Strategies & Management, 2017,9(1):846-863.
[32] Wu J, Xu Y, Gao X J. Projected changes in mean and extreme climates over Hindu Kush Himalayan region by 21 CMIP5 models[J]. Advances in Climate Change Research, 2017,8(3):176-184.
[33] Xu Y, Wu J, Shi Y, et al. Change in extreme climate events over China based on CMIP5[J]. Atmospheric and Oceanic Science Letters, 2015,8(4):185-192.
[34] Hu Z Y, Zhang C, Hu Q, et al. Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets[J]. Journal of Climate, 2014,27(3):1143-1167.
[35] 韩其飞,陆研,李超凡.气候变化对中亚草地生态系统碳循环的影响研究[J].干旱区地理,2018,41(6):1351-1357.
[36] 迪丽努尔·托列吾别克,李栋梁.近115 a中亚干湿气候变化研究[J].干旱气象,2018,36(2):32-42.
[37] 薛海丽,张钦,唐海萍.近60 a内蒙古不同草原类型区极端气温和干旱事件特征分析[J].干旱区地理,2018,41(4):701-711.
[38] Gessner U, Naeimi V, Klein I, et al. The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia[J]. Global and Planetary Change, 2013,110:74-87.
[39] Nemani R R, Keeling C D, Hashimoto H, et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999[J]. Science, 2003,300(5625):1560-1563.

Similar References:

Memo

Last Update: 2021-08-20