nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2023, 11, v.54 124-134
东亚五国气象干旱时空变化特征及其对植被的影响
基金项目(Foundation): 中央土壤污染防治专项经费资助(2110402); 河南省自然资源厅2021年科技项目(豫自然资函[2021]157号)
邮箱(Email): 2124682050@qq.com;
DOI: 10.13928/j.cnki.wrahe.2023.11.011
摘要:

【目的】分析气象干旱对植被生长的胁迫作用。【方法】研究东亚五国多时间尺度标准化降水指数(SPI)、标准化降水蒸散发指数(SPEI)对叶面积指数(LAI)和归一化植被指数(NDVI)的影响。【结果】对比多时间尺度的气象干旱指数发现,在短时间尺度东亚五国的气象干旱波动幅度和频率较强,长时间尺度变化趋势更为明显,SPI和SPEI呈现相反的变化趋势,且在重合的3次气象干旱事件中SPEI具有更长的干旱历时;2001—2021年东亚五国的LAI、NDVI均呈现波动增加的变化趋势,且LAI的增加率要大于NDVI的增加率;对LAI、NDVI及SPI、SPEI进行相关性分析可知,SPI-12和SPEI-12对LAI的胁迫作用最强,NDVI对SPI-3和SPEI-3最为敏感。【结论】植被生长状态最好的地区集中在中国东北部、东部及南部地区、外蒙古国北部、朝鲜、韩国日本;3个月时间尺度的气象干旱对植被绿度影响最大,而12个月时间尺度的气象干旱对植被生理状态影响最大;此外,根据最大相关系数可知盛夏时期的气象干旱对植被生长的胁迫作用最强。研究结果以期为东亚五国植物群落的生态预警和生态修复提供理论参考。

Abstract:

[Objective] Analyzed the stress of meteorological drought on vegetation growth. [Methods] Studied the effects of multi-time scale Standardized Precipitation Index(SPI) and Standardized Precipitation Evapotranspiration Index(SPEI) on Leaf Area Index(LAI) and Normalized Vegetation Index(NDVI) in five East Asian countries. [Results] Compared the meteorological drought indexes of multi-time scale, it is found that the fluctuation amplitude and frequency of meteorological drought in the five East Asian countries are strong in the short time scale, the change trend in the long time scale is more obvious, SPI and SPEI show the opposite change trend, and SPEI has a longer drought duration in the three overlapping meteorological drought events. From 2001 to 2021, LAI and NDVI in the five East Asian countries showed a trend of fluctuating increase, and the increase rate of LAI was greater than that of NDVI; Through the correlation analysis of LAI, NDVI, SPI and SPEI, it can be seen that SPI-12 and SPEI-12 have the strongest stress effect on LAI, and NDVI is the most sensitive to SPI-3 and SPEI-3. [Conclusion] The regions with the best vegetation growth status were concentrated in Northeast China, East and South China, northern Outer Mongolia, North Korea, South Korea and Japan; The meteorological drought at the 3-month time scale has the greatest impact on vegetation greenness, while the meteorological drought at the 12-month time scale has the greatest impact on vegetation physiological status; In addition, according to the maximum correlation coefficient, the meteorological drought in midsummer has the strongest stress on vegetation growth. The results are expected to provide a theoretical reference for the ecological early warning and ecological restoration of plant communities in East Asia.

参考文献

[1] SOLOMON S,QIN D,MANNING M,et al.Climate Change 2001:The physical science basis.Contribution of working group I to the third assessment report of the intergovernmental panel on climate change[J].Intergovernmental Panel on Climate Change Climate Change,2001,996(2):95-123.

[2] MA Z,SUN P,ZHANG Q,et al.The characteristics and evaluation of future droughts across China through the CMIP6 multi-model ensemble[J].Remote Sensing,2022,14(5):1097.

[3] ZHANG L,ZHOU T.Drought over East Asia:A review[J].Journal of Climate,2015,28(8):3375-3399.

[4] WANG L,CHEN W,FU Q,et al.Super droughts over East Asia since 1960 under the impacts of global warming and decadal variability[J].International Journal of Climatology,2021(4),7483.

[5] 李国英.推动新阶段水利高质量发展全面提升国家水安全保障能力——写在2022年“世界水日”和“中国水周”之际[J].水利发展研究,2022,22(3):1-2.LI Guoying.Promoting the high-quality development of water conservancy in the new stage and comprehensively enhancing the national water security guarantee capacity-written on the occasion of “World Water Day” and “China Water Week” in 2022[J].Water Resources Development Research,2022,22(3):1-2.

[6] PANDEY V,SRIVASTAVA P K,PANDEY V,et al.Multi-satellite precipitation products for meteorological drought assessment and forecasting in Central India[J].Geocarto International,2022,37(7):1899-1918.

[7] HARISHNAIKA N,AHMED S A;KUMAR S,et al.Computation of the spatio-temporal extent of rainfall and long-term meteorological drought assessment using standardized precipitation index over Kolar and Chikkaballapura districts,Karnataka during 1951—2019[J].Remote Sensing Applications:Society and Environment,2022,27.

[8] VICENTE-SERRANO S M,BEGUERIA S,LOPEZ-MORENO J I,et al.A multiscalar drought index sensitive to global warming:The standardized precipitation evapotranspiration index[J].Journal of Climate,2010,23:1696-1718.

[9] 马晓群,吴文玉,张辉.农业旱涝指标及在江淮地区监测预警中的应用[J].应用气象学报,2009,20(2):186-194.MA Xiaoqun,WU Wenyu,ZHANG Hui.The agricultural drought and flood index and its operational application to monitoring and early-warning in Jianghuai Area[J].Journal of Applied Meteorological Science,2009,20(2):186-194.

[10] 曹永强,路璐,张兰霞,等.基于Z指数的辽宁省气象干旱时空特性分析[J].资源科学,2012,34(8):1518-1525.CAO Yongqiang,LU Lu,ZHANG Lanxia,et al.Spatio-temporal characteristics of meteorological drought in Liaoning Province based on Z index[J].Resources Science,2012,34(8):1518-1525.

[11] MOSTAFAZADEH R,ZABIHI M.Comparison of SPI and SPEI indices to meteorological drought assessment using R programming (Case study:Kurdistan Province)[J].Journal of the Earth and Space Physics,2016,42(3):633-643.

[12] MEHR A D,SORMAN A U,KAHYA E,et al.Climate change impacts on meteorological drought using SPI and SPEI:Case study of Ankara,Turkey[J].Hydrological Sciences Journal,2019,65(2):254-268.

[13] 杜波波,王宁,林克剑.基于SPI/SPEI的锡林郭勒盟干旱变化特征[J].水电能源科学,2022,40(4):14-18.DU Bobo,WANG Ning,LIN Kejian.Characteristics of drought change in XilinGolLeague based on SPI/SPEI[J].Water Resources and Power,2022,40(4):14-18.

[14] HERSBACH H,BELL B,BERRISFORD P,et al.The ERA5 global reanalysis[J].Quarterly Journal of the Royal Meteorological Society,2020,146(730):1999-2049.

[15] GRAHAM R M,HUDSON S R,MATURILLI M.Improved performance of ERA5 in Arctic gateway relative to four global atmospheric reanalyses[J].Geophysical Research Letters,2019,46(11):6138-6147.

[16] 梁丽霞,张忠扬,梁洁.祖厉河流域降水指标的周期性研究[J].水利发展研究,2022,22(6):65-70.LIANG Lixia,ZHANG Zhongyang,LIANG Jie.Study on the periodicity of precipitation indicators in the Zuli River Basin[J].Water Resources Development Research,2022,22(6):65-70.

[17] 冯克鹏,田军仓,洪阳,等.多源降水产品在不同气候带的水文模拟评估[J].排灌机械工程学报,2021,39(11):1146-1153.FENG Kepeng,TIAN Juncang,HONG Yang,et al.Hydrological simulation and evaluation of multi-source precipitation products in different climatic zones[J].Journal of Drainage and Irrigation Machinery Engineering,2021,39(11):1146-1153.

[18] FALLAH A,RAKHSHANDEHROO G R,BERG P,et al.Evaluation of precipitation datasets against local observations in southwestern Iran[J].International Journal of Climatology,2020,40(9):4102-4116.

[19] JIANG Q,LI W,FAN Z,et al.Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland[J].Journal of hydrology,2021,595:125660.

[20] 陈施施,谢涛,王超.IGBP土地覆盖升尺度及精度评价方法研究[J].电子测量技术,2022,45(5),1-12.CHEN Shishie,XIE Tao,WANG Chao.Research on IGBP land cover upscaling and accuracy evaluation method[J].Electronic Measurement Technology,2022,45(5):1-12.

[21] 王江涛.基于华北地区气象指数SPI干旱时空分析[J].水土保持研究,2019,26(4):203-207.WANG JIANGTAO.Analysis on spatiotemporal pattern of SPI drought based on meteorological index in North China[J].Research of Soil and Water Conservation,2019,26(4):203-207.

[22] 杜波波,王宁,林克剑.基于SPI/SPEI的锡林郭勒盟干旱变化特征[J].水电能源科学,2022,40(4):14-18.DU BOBO,WANG NING,LIN KEJIAN.Characteristics of drought change in Xilin Gol League basedon SPI/SPEI[J].Water Resources and Power,2022,40(4):14-18.

[23] 王孟浩,江善虎,任立良,等.渭河流域热浪事件影响下的骤旱评估[J].水利发展研究,2023,23(9):21-28.WANG Menghao,JIANG Shanhu,REN Liliang,et al.Evaluation of sudden drought under the influence of heat wave events in the Wei River Basin[J].Water Resources Development Research,2023,23(9):21-28.

[24] VICENTE-SERRANO S M,GOUVEIA C,et al.Response of vegetation to drought time-scales across global land biomes[J].Proceedings of the National Academy of Sciences,2013,110(1):52-57.

基本信息:

DOI:10.13928/j.cnki.wrahe.2023.11.011

中图分类号:Q948.1;P426.616

引用信息:

[1]狄广礼,李新萍,蔡铁刚,等.东亚五国气象干旱时空变化特征及其对植被的影响[J].水利水电技术(中英文),2023,54(11):124-134.DOI:10.13928/j.cnki.wrahe.2023.11.011.

基金信息:

中央土壤污染防治专项经费资助(2110402); 河南省自然资源厅2021年科技项目(豫自然资函[2021]157号)

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文
检 索 高级检索