长江流域不同植被对2022年极端气象干旱事件的响应

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Abstract A method for assessing vegetation sensitivity and vulnerability to meteorological droughts was proposed in this study. Standardized indices were developed based on precipitation, evapotranspiration, and solar-induced chlorophyll fluorescence data. The sensitivity of vegetation to meteorological drought was quantified by using Correlation Coefficient (CC), Response Time scale (RT), and Response Sensitivity (RS), while vulnerability was assessed by Duration Response Ratio (DRR) and Intensity Response Ratio (IRR). The results indicated that in the vegetation response assessment for meteorological drought of 2022 in Yangtze River Basin, (1) Low sensitivity (median CC=0.36, 0.44; median RS=-1.72, -1.58) was observed in evergreen needleleaf forest and grassland exhibited of upstream region. Whereas, the highest sensitivity (median CC=0.68, median RS=-1.37) was shown in cultivated land, and the sensitivity of (woody) savannas surpassed that of forests (median CC: forests=0.41~0.49, woody savanna=0.64, savanna=0.61; median RS: forests=-1.61~-1.57, woody savanna=-1.44, savanna=-1.40) in the middle and lower reaches. (2) The vulnerability of evergreen needleleaf forest was obviously higher than that of other forests (median DRR: needleleaf forest=1.04, other forests=0.85~0.97; median IRR: needleleaf forest=0.94, other forests: IRR=0.76~0.88). Meteorological drought was found to have a greater impact on grasslands than on (woody) savannas in the middle and lower reaches (median DRR: grassland=1.28, woody savanna=0.74, savanna=0.88; median IRR: grassland=1.24, woody savanna=0.74, savanna=0.80). Low vulnerability was exhibited in cultivated land (median DRR=0.77, IRR=0.72). (3) the Jinsha River basin, with the high average elevation, was identified as high vulnerability hotspot, while the Sichuan Basin and the Han River basin were high sensitivity hotspots due to the aggregated croplands. Therefore, to prevent further degradation and irreversible damage, vegetation monitoring and restoration strategies should be conducted according to various responses of vegetation to meteorological drought.

Key words： meteorological drought sensitivity vulnerability drought response Yangtze River Basin

Received: 03 February 2024

PACS:	X171
	P467
	Q948

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	Articles by authors
	ZHAO Qian-zuo
	ZHANG Xuan
	FEI Jun-yuan
	XU Yang
	LI Chong
	HAO Fang-hua

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ZHAO Qian-zuo,ZHANG Xuan,FEI Jun-yuan等. Vegetation responses to extreme meteorological drought event of 2022 in the Yangtze River Basin[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(9): 5134-5144.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I9/5134

[1] Mishra A K, Singh V P. A review of drought concepts [J]. Journal of hydrology, 2010,391(1/2):202-216.
[2] Teutschbein C, Jonsson E, Todorović A, et al. Future drought propagation through the water-energy-food-ecosystem nexus-A Nordic perspective [J]. Journal of Hydrology, 2023,617:128963.
[3] IPCC AR6. Climate change 2021: The physical science basis [M]. Cambridge and New York: Cambridge University Press, 2021.
[4] Su B, Huang J, Mondal S K, et al. Insight from CMIP6SSP-RCP scenarios for future drought characteristics in China [J]. Atmospheric Research, 2021,250:105375.
[5] Zhang Y, Hu X, Zhang Z, et al. The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6models [J]. Stochastic Environmental Research and Risk Assessment, 2023,37(7):2577-2601.
[6] 杨远航,尹家波,郭生练,等.中国陆域干旱演变预估及其生态水文效应[J]. 科学通报, 2023,68(7):817-829. Yang Y H, Yin J B, Guo S L, et al. Projection of terrestrial drought evolution and its eco-hydrological effects in China [J]. Chin. Sci. Bull, 2023,68(7):817-829.
[7] Chen Q, Timmermans J, Wen W, et al. Ecosystems threatened by intensified drought with divergent vulnerability [J]. Remote Sensing of Environment, 2023,289:113512.
[8] Wei X, He W, Zhou Y, et al. Increased sensitivity of global vegetation productivity to drought over the recent three decades [J]. Journal of Geophysical Research: Atmospheres, 2023:e2022J-e37504J.
[9] Ji L, Peters A J. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices [J]. Remote sensing of Environment, 2003,87(1):85-98.
[10] 史晓亮,吴梦月,丁皓.SPEI和植被遥感信息监测西南地区干旱差异分析[J]. 农业机械学报, 2020,51(12):184-192. Shi X L, Wu M Y, Ding H. Difference analysis of SPEI and vegetation remote sensing information in drought monitoring in Southwest China [J]. Transactions of the Chinese Society for Agricultural Machinery, 2020,51:184-192.
[11] Jiao W, Chang Q, Wang L. The sensitivity of satellite solar-induced chlorophyll fluorescence to meteorological drought [J]. Earth’s Future, 2019,7(5):558-573.
[12] Zhang X, Hao Z, Singh V P, et al. Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors [J]. Science of the Total Environment, 2022,838:156021.
[13] Chen Q, Timmermans J, Wen W, et al. A multi-metric assessment of drought vulnerability across different vegetation types using high resolution remote sensing [J]. Science of the Total Environment, 2022,v.832:152022-154970.
[14] 何昊燊,彭涛,由星莹,等.汉江流域植被变化及其对多时间尺度气象干旱的响应[J]. 水资源与水工程学报, 2023,34(3):83-92. He H S, Peng T, You X Y, et al. Vegetation change and its response to multi-time scale meteorological droughts in the Hanjiang River Basin [J]. Journal of Water Resources and Water Engineering, 2023,34(3): 83-92.
[15] 刘宇,田济扬,黄婷婷,等.长江流域NDVI变化及其驱动因素分析[J]. 地理科学, 2023,43(6):1022-1031. Liu Y, Tian J Y, Huang T T, et al. Analysis of NDVI changes and driving factors in the Yangtze River Basin [J]. Scientia Geographica Sinica, 2023,43(6):1022-1031.
[16] 郝增超,张璇,郝芳华,等.2022年夏季长江流域复合高温干旱事件的影响及应对[J]. 水资源保护, 2023,39(6):46-52. Hao Z C, Zhang X, Hao F H, et al. Impacts and coping strategies of compound hot extremes and droughts during summer of 2022in the Yangtze River Basin [J]. Water Recourses Protection, 2023,39(6):46-52.
[17] 夏军,陈进,佘敦先.2022年长江流域极端干旱事件及其影响与对策[J]. 水利学报, 2022,53(10):1143-1153. Xia J, Chen J, She D X. Impacts and countermeasures of extreme drought in the Yangtze River Basin in 2022[J]. Shuili Xuebao, 2022, 53(10):1143-1153.
[18] 姜雨彤,郝增超,冯思芳,等.长江与黄河流域复合高温干旱事件时空演变特征[J]. 水资源保护, 2023,39(2):70-77. Jiang Y T, Hao Z C, Feng S F, et al. Spatiotemporal evolution characteristics in compound hot-dry events in Yangtze River and Yellow River basins [J]. Water Resources Protection, 2023,39(2):70-77.
[19] 周军,任宏昌,王蒙,等.2022年夏季长江流域干旱特征及成因分析[J]. 人民长江, 2023,54(2):29-35. Zhou J, Ren H C, Wang M, et al. Characteristics and causes of drought event over Yangtze River Basin in summer 2022[J]. Yangtze River, 2023,54(2):29-35.
[20] 杨肖丽,崔周宇,任立良,等.1966~2015年长江流域水文干旱时空演变归因[J]. 水科学进展, 2023,34(3):349-359. Yang X L, Cui Z Y, Ren L L, et al. Patterns and attributions of hydrological drought in the Yangtze River basin from 1966 to 2015[J]. Advances in Water Science, 2023,34(3):349-359.
[21] Martens B, Miralles D G, Lievens H, et al. GLEAM v3: Satellite-based land evaporation and root-zone soil moisture [J]. Geoscientific Model Development, 2017,10(5):1903-1925.
[22] Miralles D G, Holmes T, De Jeu R, et al. Global land-surface evaporation estimated from satellite-based observations [J]. Hydrology and Earth System Sciences, 2011,15(2):453-469.
[23] 杨泽龙,李艳忠,白鹏,等.1980~2020年中国九大流域蒸散发及其组分时空评估[J]. 地球信息科学学报, 2022,24(5):889-901. Yang Z L, Li Y Z, Bai P, et al.Spatial-temporal dynamics of evapotranspiration and its components in Nine River Basins of China from 1980 to 2020 based on GlEAM-ET Products [J]. Journal of Geo-information Science. 2022,(5):889-901.
[24] Li X, Xiao J. A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data [J]. Remote Sensing, 2019,11(5):517.
[25] Li M, Chu R, Sha X, et al. Monitoring 2019 drought and assessing its effects on vegetation using solar-induced chlorophyll fluorescence and vegetation indexes in the middle and lower reaches of Yangtze River, China [J]. Remote Sensing, 2022,14(11):2569.
[26] Zhao A, Wang D, Xiang K, et al. Vegetation photosynthesis changes and response to water constraints in the Yangtze River and Yellow River Basin, China [J]. Ecological Indicators, 2022,143:109331.
[27] Chen X, Cai A, Guo R, et al. Variation of gross primary productivity dominated by leaf area index in significantly greening area [J]. Journal of Geographical Sciences, 2023,33(8):1747-1764.
[28] Dong X, Zhou Y, Liang J, et al. Assessment of spatiotemporal patterns and the effect of the relationship between meteorological drought and vegetation dynamics in the Yangtze River Basin based on remotely sensed data [J]. Remote Sensing, 2023,15(14):3641.
[29] Wang Y, Li R, Hu J, et al. Evaluation of evapotranspiration estimation under cloud impacts over China using ground observations and multiple satellite optical and microwave measurements [J]. Agricultural and Forest Meteorology, 2022,314:108806.
[30] Piao S, Friedlingstein P, Ciais P, et al. Effect of climate and CO₂ changes on the greening of the Northern Hemisphere over the past two decades [J]. Geophysical Research Letters, 2006,33(23).
[31] Piao S, Wang X, Park T, et al. Characteristics, drivers and feedbacks of global greening [J]. Nature Reviews Earth & Environment, 2020, 1(1):14-27.
[32] 李泳君,陈青长,方贺,等.基于MGWR的长江流域植被演化及其影响因素[J]. 中国环境科学, 2024,44(1):352-362. Li Y J, Chen Q C, Fang H, et al. Vegetation evolution and its influencing factors in the Yangtze River Basin based on multi-scale geographical weighted regression [J]. China Environmental Science, 2024,44(1):352-362.
[33] Lu Q, Zhang Y, Song B, et al. The responses of ecological indicators to compound extreme climate indices in Southwestern China [J]. Ecological Indicators, 2023,157:111253.
[34] Bai P, Liu X, Zhang Y, et al. Assessing the impacts of vegetation greenness change on evapotranspiration and water yield in China [J]. Water Resources Research, 2020,56(10):e2019W-e27019W.
[35] Zargar A, Sadiq R, Naser B, et al. A review of drought indices [J]. Environmental Reviews, 2011,19(NA):333-349.
[36] 李尚飞,戈文艳,王飞.1982~2019年中国北方干旱事件特征及其对植被的影响[J]. 水土保持研究, 2023,30(3):251-259. Li S F, Ge W Y, Wang F. Characteristics of drought events and their impacts on vegetation in Northern China from 1982 to 2019[J]. Research of Soil and Water Conservation, 2023,30(3):251-259.
[37] 粟晓玲,梁晓萱,吴海江,等.表征生态状况的综合干旱指数构建及干旱风险分析[J]. 水资源保护, 2023,39(2):50-58. Su X L, Liang X X, Wu H J, et al. Construction of comprehensive drought index representing ecological condition and drought risk analysis [J]. Water Resources Protection, 2023,39(2):50-58.
[38] Vicente-Serrano S M, Beguería S, López-Moreno J I. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index [J]. Journal of Climate, 2010, 23(7):1696-1718.
[39] Zhou Z, Liu S, Ding Y, et al. Assessing the responses of vegetation to meteorological drought and its influencing factors with partial wavelet coherence analysis [J]. Journal of Environmental Management, 2022, 311:114879.
[40] Gringorten I I. A plotting rule for extreme probability paper [J]. Journal of Geophysical Research, 1963,68(3):813-814.
[41] Duan H, Yan C, Tsunekawa A, et al. Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data [J]. Environmental Earth Sciences, 2011,64(4):1011-1020.
[42] Wu D, Zhao X, Liang S, et al. Time-lag effects of global vegetation responses to climate change [J]. Global Change Biology, 2015,21(9): 3520-3531.
[43] 薛联青,肖颖,刘远洪,等.黄河流域植被水分利用效率对干旱的时空累积响应变化[J]. 水资源保护, 2023,39(4):32-41. Xue L Q, Xiao Y, Liu Y H, et al. Spatiotemporal accumulation response of vegetation water use efficiency to drought in the Yellow River Basin [J]. Water Resources Protection, 2023,39(4):32-41.
[44] Zhang T, Su X, Zhang G, et al. Evaluation of the impacts of human activities on propagation from meteorological drought to hydrological drought in the Weihe River Basin, China [J]. Science of the Total Environment, 2022,819:153030.
[45] Li Q, Ye A, Zhang Y, et al. The Peer‐to‐peer type propagation from meteorological drought to soil moisture drought occurs in areas with strong land-atmosphere interaction [J]. Water Resources Research, 2022,58(9):e2022W-e32846W.
[46] Wang H, Chen A, Wang Q, et al. Drought dynamics and impacts on vegetation in China from 1982 to 2011[J]. Ecological Engineering, 2015,75:303-307.
[47] 曾兴兰,陈田田.西南地区植被动态变化的驱动力解析[J]. 中国环境科学, 2023,43(12):6561-6570. Zeng X L, Chen T T. Analysis of the driving forces of vegetation dynamic changes in southwest China [J]. China Environmental Science, 2023,43(12):6561-6570.
[48] 崔嵩,贾朝阳,郭亮,等.不同海拔梯度下极端气候事件对松花江流域植被NPP的影响[J]. 环境科学, 2024,45(1):275-286. Cui S, Jia Z Y, Guo L, et al. Impacts of extreme climate events at different altitudinal gradients on vegetation NPP in Songhua River Basin [J]. Environmental Science, 2024,45(1):275-286.
[49] Vicente-Serrano S M, Gouveia C, Camarero J J, 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.
[50] Shi M, Yuan Z, Shi X, et al. Drought assessment of terrestrial ecosystems in the Yangtze River Basin, China [J]. Journal of Cleaner Production, 2022,362:132234.
[51] De Keersmaecker W, Van Rooijen N, Lhermitte S, et al. Species-rich semi-natural grasslands have a higher resistance but a lower resilience than intensively managed agricultural grasslands in response to climate anomalies [J]. Journal of Applied Ecology, 2016,53(2):430-439.
[52] Li R, Chen N, Zhang X, et al. Quantitative analysis of agricultural drought propagation process in the Yangtze River Basin by using cross wavelet analysis and spatial autocorrelation [J]. Agricultural and Forest Meteorology, 2020,280:107809.
[53] Zhang Q, Yu H, Sun P, et al. Multisource data based agricultural drought monitoring and agricultural loss in China [J]. Global and planetary change, 2019,172:298-306.
[54] Lesk C, Anderson W. Decadal variability modulates trends in concurrent heat and drought over global croplands [J]. Environmental Research Letters, 2021,16(5):55024.
[55] Fawen L, Manjing Z, Yong Z, et al. Influence of irrigation and groundwater on the propagation of meteorological drought to agricultural drought [J]. Agricultural Water Management, 2023,277: 108099.
[56] Lu J, Carbone G J, Huang X, et al. Mapping the sensitivity of agriculture to drought and estimating the effect of irrigation in the United States, 1950-2016[J]. Agricultural and Forest Meteorology, 2020,292:108124.
[57] 孙龙,卢涛,孙涛,等.金沙江下游典型库区消落带植被恢复模式[J]. 生态学报, 2023,43(2):826-837. Sun L, Lu T, Sun T, et al. Vegetation restoration pattern of water-level-fluctuation zone in two cascaded reservoirs in the lower Jinsha River [J]. Acta Ecologica Sinica, 2023,43(2):826-837.
[58] 杨胜苏,刘卫柏.基于恢复生态学的洞庭湖区“山水林田湖草”生态修复研究[J]. 生态学报, 2021,41(16):6430-6439. Yang S S, Liu W B. Research on ecological restoration of “landscapes, forests, fields, lakes and grasses” in Dongting Lake Area: Based on the perspective of restoration ecology [J]. Acta Ecologica Sinica, 2021, 41(16):6430-6439.
[59] 曹思佳,李云良,陈静,等.2022年鄱阳湖极端干旱对洪泛区地下水文情势的影响[J]. 中国环境科学, 2023,43(12):6601-6610.Cao S J, Li Y L, Chen J, et al. Influence of extreme drought in 2022on groundwater hydrological regime in the Poyang Lake floodplain area [J]. China Environmental Science, 2023,43(12):6601-6610.
[60] 邹桃红,徐艳艳,陈鹏,等.洞庭湖流域2000~2021年植被覆盖时空动态特征[J]. 中国环境科学, 2024,44(2):961-971. Zou T H, XU Y Y, Chen P, et al. Spatiotemporal variations and their driving mechanism of vegetation coverage across Dongting Lake Basin from 2000 to 2021[J]. China Environmental Science, 2024, 44(2):961-971.
[61] Xu X, Hu H, Tan Y, et al. Quantifying the impacts of climate variability and human interventions on crop production and food security in the Yangtze River Basin, China, 1990~2015[J]. Science of the Total Environment, 2019,665:379-389.
[62] Müller L M, Bahn M. Drought legacies and ecosystem responses to subsequent drought [J]. Global Change Biology, 2022,28(17):5086-5103.