Vegetation's Dynamic Changes, Spatial Trends, and Responses to Drought in the Yellow River Basin, China

被引:1
作者
Wang, Fei [1 ]
Men, Ruyi [1 ]
Yan, Shaofeng [2 ]
Lai, Hexin [1 ]
Wang, Zipeng [1 ]
Feng, Kai [1 ]
Gao, Shikai [1 ]
Li, Yanbin [1 ]
Guo, Wenxian [1 ]
Qu, Yanping [3 ]
机构
[1] North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450046, Peoples R China
[2] Hubei Inst Water Resources Survey & Design Co Ltd, Wuhan 430070, Peoples R China
[3] China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
来源
AGRONOMY-BASEL | 2024年 / 14卷 / 08期
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
vegetation dynamics; drought response; driving effect; remote-sensing technology; Yellow River Basin (YRB); AGRICULTURAL DROUGHT; LOESS PLATEAU; CLIMATE; PRECIPITATION; EVAPOTRANSPIRATION; INDEX; TEMPERATURE; GROWTH; SHIFTS;
D O I
10.3390/agronomy14081724
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Drought is a complex and recurrent natural disaster that can have devastating impacts on economies, societies, and ecosystems around the world. In light of climate change, the frequency, duration, and severity of drought events worldwide have increased, and extreme drought events have caused more severe and irreversible damage to terrestrial ecosystems. Therefore, estimating the resilience of different vegetation to drought events and vegetation's response to damage is crucial to ensuring ecological security and guiding ecological restoration. Based on meteorological and remote-sensing datasets from 1982 to 2022, the spatial distribution characteristics and temporal variability of vegetation were identified in the Yellow River Basin (YRB), the dynamic changes and recurrence periods of typical drought events were clarified, and the driving effects of different drought types on vegetation were revealed. The results indicated that (1) during the research period, the standardized vegetation water-deficit index (SVWI) showed a downward trend in the YRB, with a 99.52% probability of abrupt seasonal changes in the SVWI occurring in January 2003; (2) the characteristic values of the grid trend Zs were -1.46 and 0.20 in winter and summer, respectively, indicating a significant downward trend in the winter SVWI; (3) the drought with the highest severity (6.48) occurred from September 1998 to February 1999, with a recurrence period of 8.54 years; and (4) the growth of vegetation was closely related to drought, and as the duration of drought increased, the sensitivity of vegetation to drought events gradually weakened. The research results provide a new perspective for identifying vegetation's dynamic changes and responses to drought, which is of great significance in revealing the adaptability and potential influencing factors of vegetation in relation to climate.
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页数:21
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共 67 条
[51]   Assessment of the Spatiotemporal Impact of Water Conservation on the Qinghai-Tibet Plateau [J].
Wen, Xin ;
Shao, Huaiyong ;
Wang, Ying ;
Lv, Lingfeng ;
Xian, Wei ;
Shao, Qiufang ;
Shu, Yang ;
Yin, Ziqiang ;
Liu, Shuhan ;
Qi, Jiaguo .
REMOTE SENSING, 2023, 15 (12)
[52]   Three-dimensional linkage between meteorological drought and vegetation drought across China [J].
Weng, Zhen ;
Niu, Jun ;
Guan, Huade ;
Kang, Shaozhong .
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 859
[53]   Using Bayesian statistics to detect trends in Alaskan precipitation [J].
White, James H. R. ;
Walsh, John E. ;
Thoman, Richard L., Jr. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 41 (03) :2045-2059
[54]   Ecological Drought Condition Index to Monitor Vegetation Response to Meteorological Drought in Korean Peninsula [J].
Won, Jeongeun ;
Kim, Sangdan .
REMOTE SENSING, 2023, 15 (02)
[55]   Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index [J].
Won, Jeongeun ;
Seo, Jiyu ;
Lee, Jeonghoon ;
Lee, Okjeong ;
Kim, Sangdan .
REMOTE SENSING, 2021, 13 (24)
[56]   Assessment on agricultural drought vulnerability in the Yellow River basin based on a fuzzy clustering iterative model [J].
Wu, Di ;
Yan, Deng-Hua ;
Yang, Gui-Yu ;
Wang, Xiao-Gang ;
Xiao, Wei-Hua ;
Zhang, Hai-Tao .
NATURAL HAZARDS, 2013, 67 (02) :919-936
[57]   Diverse responses of vegetation growth to meteorological drought across climate zones and land biomes in northern China from 1981 to 2014 [J].
Xu, Hao-jie ;
Wang, Xin-ping ;
Zhao, Chuan-yan ;
Yang, Xue-mei .
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 262 :1-13
[58]   Trend shifts in satellite-derived vegetation growth in Central Eurasia, 1982-2013 [J].
Xu, Hao-jie ;
Wang, Xin-ping ;
Yang, Tai-bao .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 579 :1658-1674
[59]   Are droughts becoming more frequent or severe in China based on the Standardized Precipitation Evapotranspiration Index: 1951-2010? [J].
Yu, Meixiu ;
Li, Qiongfang ;
Hayes, Michael J. ;
Svoboda, Mark D. ;
Heim, Richard R. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2014, 34 (03) :545-558
[60]   An improved global vegetation health index dataset in detecting vegetation drought [J].
Zeng, Jingyu ;
Zhou, Tao ;
Qu, Yanping ;
Bento, Virgilio A. ;
Qi, Junyu ;
Xu, Yixin ;
Li, Ying ;
Wang, Qianfeng .
SCIENTIFIC DATA, 2023, 10 (01)