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Characterizing the local and global climatic factors associated with vegetation dynamics in the karst region of southwest China

文献类型：期刊论文

作者Hussain, Azfar6; Cao, Jianhua6; Abbas, Haider5; Hussain, Ishtiaq4; Zhou, Jinxing3; Yang, Hui6; Rezaei, Abolfazl1; Luo, Qukan6; Ullah, Waheed2; Liang, Zhong6
刊名JOURNAL OF HYDROLOGY
出版日期2024-11-01
卷号643页码:16
关键词Vegetation dynamics Environmental factors Teleconnections Karst ecosystem Lag-time Southwest China
ISSN号0022-1694
DOI10.1016/j.jhydrol.2024.132018
产权排序2
英文摘要Understanding the relationship between vegetation and climatic drivers is essential for assessing terrestrial ecosystem patterns and managing future vegetation dynamics. This study examines the effects of local climatic factors and remote large-scale ocean-atmosphere circulations from the Pacific, Atlantic, and Arctic Oceans, as well as the East Asian and Indian summer monsoons, on the spatiotemporal variability of the Normalized Difference Vegetation Index (NDVI) in the karst region of southwest China (KRSC) using Mann-Kendall test, Sen's slope, cross-correlation, and wavelet analysis. We observed a significant increase in NDVI over karst and non-karst regions from 1981 to 2019, with a notable abrupt shift from 2001 onwards, underscoring the importance of understanding the underlying drivers. The significant correlation and coherence of surface air (TMP) and soil temperatures (ST) with NDVI, especially when analyzed using wavelet methods, indicate their crucial role in vegetation dynamics. Additionally, the broad coherence patterns of AMO and WHWP with NDVI at annual and decadal cycles suggest that ocean-atmosphere interactions also play a significant part. At interannual periodicities, most large-scale indices displayed significant coherence with NDVI. These findings highlight the complexity of NDVI variability, which is better explained by the integration of multiple local and global factors rather than by single variables. The integrated local-global drivers, particularly TMP-ST-AMO-NP-WHWP and PCP-SM-AMO-NP-WHWP with mean coherence of 0.90 and 0.89, respectively, showed the highest mean coherence, emphasizing the need for a multifaceted approach in understanding vegetation changes rather than a single local variable or atmospheric circulation index. These findings have significant implications for policymakers, aiding in better planning and policy formulations considering climate change and atmospheric variability.
WOS关键词SOIL-MOISTURE ; MANN-KENDALL ; ENSO ; PRECIPITATION ; INDEXES ; MONSOON ; TRENDS ; VARIABILITY ; TESTS ; NDVI
资助项目National Natural Science Foundation of China[42361144885] ; Guangxi Key Research and Development Program, China[GuikeAB22035004] ; Guangxi Science and Technology Plan Project[GuikeAD21196001] ; Open foundation of the key laboratory of the Ministry of Natural Resources/Guangxi Karst Dynamics Laboratory[KDL Guangxi202002] ; Open foundation of the key laboratory of the Ministry of Natural Resources/Guangxi Karst Dynamics Laboratory[Guangxi202002] ; Guilin Bureau of Science and Technology[20220129-1] ; Joint Research Center on the Water and Calcium Cycling Process of China and Slovakia
WOS研究方向Engineering ; Geology ; Water Resources
语种英语
WOS记录号WOS:001322599400001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Guangxi Key Research and Development Program, China ; Guangxi Science and Technology Plan Project ; Open foundation of the key laboratory of the Ministry of Natural Resources/Guangxi Karst Dynamics Laboratory ; Guilin Bureau of Science and Technology ; Joint Research Center on the Water and Calcium Cycling Process of China and Slovakia
源URL[http://ir.igsnrr.ac.cn/handle/311030/210224]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Cao, Jianhua
作者单位1.Inst Adv Studies Basic Sci, Dept Earth Sci, Zanjan 4513766731, Iran
2.Rabdan Acad, Def & Secur, Abu Dhabi, U Arab Emirates
3.Beijing Forestry Univ, Sch Soil & Water Conservat, Jianshui Res Stn, Beijing 100083, Peoples R China
4.Chung Yuan Christian Univ, Dept Appl Math, Chungli 32023, Taiwan
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China
6.Chinese Acad Geol Sci, Inst Karst Geol, Int Res Ctr Karst Ausp UNESCO, 50, Qixinglu, Guilin 541004, Peoples R China
推荐引用方式
GB/T 7714		 Hussain, Azfar,Cao, Jianhua,Abbas, Haider,et al. Characterizing the local and global climatic factors associated with vegetation dynamics in the karst region of southwest China[J]. JOURNAL OF HYDROLOGY,2024,643:16.
APA Hussain, Azfar.,Cao, Jianhua.,Abbas, Haider.,Hussain, Ishtiaq.,Zhou, Jinxing.,...&Liang, Zhong.(2024).Characterizing the local and global climatic factors associated with vegetation dynamics in the karst region of southwest China.JOURNAL OF HYDROLOGY,643,16.
MLA Hussain, Azfar,et al."Characterizing the local and global climatic factors associated with vegetation dynamics in the karst region of southwest China".JOURNAL OF HYDROLOGY 643(2024):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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