Vegetation Dynamics and Its Trends Associated with Extreme Climate Events in the Yellow River Basin, China

被引:8
作者
Cao, Yanping [1 ,2 ]
Xie, Zunyi [1 ,2 ,3 ]
Huang, Xinhe [1 ]
Cui, Mengyang [1 ]
Wang, Wenbao [4 ]
Li, Qingqing [1 ]
机构
[1] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China
[2] Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475004, Peoples R China
[3] Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld 4072, Australia
[4] Beijing Totop Technol Co Ltd, Beijing 100043, Peoples R China
基金
中国国家自然科学基金;
关键词
normalized difference vegetation index; net primary productivity; ecological environment; extreme climate; Yellow River Basin; SPATIOTEMPORAL VARIATIONS; COVER; PRECIPITATION; NDVI;
D O I
10.3390/rs15194683
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a vital ecological barrier in China, Yellow River Basin (YRB) is strategically significant for China's national development and modernization. However, YRB has fragile ecosystems, and is sensitive to climatic change. Extreme climate events (e.g., heavy precipitation, heatwaves, and extreme hot and cold) occur frequently in this basin, but the implications (positive and negative effects) of these events on vegetation dynamics remains insufficiently understood. Combing with net primary productivity (NPP), the normalized difference vegetation index (NDVI) and extreme climate indexes, we explored the spatio-temporal characteristics of plants' growth and extreme climate, together with the reaction of plants' growth to extreme climate in the Yellow River Basin. This study demonstrated that annual NPP and NDVI of cropland, forest, and grassland in the study region all revealed a climbing tendency. The multi-year monthly averaged NPP and NDVI were characterized by a typical unimodal distribution, with the maximum values of NPP (66.18 gC center dot m-2) and NDVI (0.54) occurring in July and August, respectively. Spatially, multi-year averaged of vegetation indicators decreased from southeast to northwest. During the study period, carbon flux (NPP) and vegetation index (NDVI) both exhibited improvement in most of the YRB. The extreme precipitation indexes and extreme high temperature indexes indicated an increasing tendency; however, the extreme low temperature indexes reduced over time. NPP and NDVI were negatively associated with extreme low temperature indexes and positively correlated with extreme high temperature indexes, and extreme precipitation indicators other than consecutive dry days. Time lag cross-correlation analysis displayed that the influences of extreme temperature indexes on vegetation indexes (NPP and NDVI) were delayed by approximately six months, while the effects of extreme precipitation indexes were immediate. The study outcomes contribute to our comprehension of plants' growth, and also their reaction to extreme climates, and offer essential support for evidence-based ecological management practices in the Yellow River Basin.
引用
收藏
页数:21
相关论文
共 62 条
[1]   Global observed changes in daily climate extremes of temperature and precipitation [J].
Alexander, LV ;
Zhang, X ;
Peterson, TC ;
Caesar, J ;
Gleason, B ;
Tank, AMGK ;
Haylock, M ;
Collins, D ;
Trewin, B ;
Rahimzadeh, F ;
Tagipour, A ;
Kumar, KR ;
Revadekar, J ;
Griffiths, G ;
Vincent, L ;
Stephenson, DB ;
Burn, J ;
Aguilar, E ;
Brunet, M ;
Taylor, M ;
New, M ;
Zhai, P ;
Rusticucci, M ;
Vazquez-Aguirre, JL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D5)
[2]   Ecohydrological decoupling of water storage and vegetation attributed to China?s large-scale ecological restoration programs [J].
Cao, Yanping ;
Xie, Zunyi ;
Woodgate, William ;
Ma, Xuanlong ;
Cleverly, Jamie ;
Pang, Yingjun ;
Qin, Fen ;
Huete, Alfredo .
JOURNAL OF HYDROLOGY, 2022, 615
[3]   Spatiotemporal extremes of temperature and precipitation during 1960-2015 in the Yangtze River Basin (China) and impacts on vegetation dynamics [J].
Cui, Lifang ;
Wang, Lunche ;
Qu, Sai ;
Singh, Ramesh P. ;
Lai, Zhongping ;
Yao, Rui .
THEORETICAL AND APPLIED CLIMATOLOGY, 2019, 136 (1-2) :675-692
[4]   Estimating Vegetation Primary Production in the Heihe River Basin of China with Multi-Source and Multi-Scale Data [J].
Cui, Tianxiang ;
Wang, Yujie ;
Sun, Rui ;
Qiao, Chen ;
Fan, Wenjie ;
Jiang, Guoqing ;
Hao, Lvyuan ;
Zhang, Lei .
PLOS ONE, 2016, 11 (04)
[5]   Vulnerability of vegetation activities to drought in Central Asia [J].
Deng, Haoyu ;
Yin, Yunhe ;
Han, Xiang .
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (08)
[6]   Changes in temporal inequality of precipitation extremes over China due to anthropogenic forcings [J].
Duan, Weili ;
Zou, Shan ;
Christidis, Nikolaos ;
Schaller, Nathalie ;
Chen, Yaning ;
Sahu, Netrananda ;
Li, Zhi ;
Fang, Gonghuan ;
Zhou, Botao .
NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2022, 5 (01)
[7]   Spatiotemporal variations of extreme climate events in Northeast China during 1960-2014 [J].
Guo, Enliang ;
Zhang, Jiquan ;
Wang, Yongfang ;
Quan, Lai ;
Zhang, Rongju ;
Zhang, Feng ;
Zhou, Mo .
ECOLOGICAL INDICATORS, 2019, 96 :669-683
[8]   Multifaceted responses of vegetation to average and extreme climate change over global drylands [J].
He, Liang ;
Guo, Jianbin ;
Yang, Wenbin ;
Jiang, Qunou ;
Chen, Lin ;
Tang, Kexin .
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 858
[9]   Shifts in vegetation activity of terrestrial ecosystems attributable to climate trends [J].
Higgins, Steven I. I. ;
Conradi, Timo ;
Muhoko, Edward .
NATURE GEOSCIENCE, 2023, 16 (02) :147-+
[10]   Anthropogenic influence on extreme temperatures in China based on CMIP6 models [J].
Hu, Ting ;
Sun, Ying .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (05) :2981-2995