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DOI	10.1016/j.agrformet.2024.109891
	Spatiotemporal distribution of sudden oak death in the US and Europe
	Kang, Xuechun; Chen, Wei; Li, Siliang; Wang, Tiejun; Yu, Le; Singh, Ramesh P.
发表日期	2024
ISSN	0168-1923
EISSN	1873-2240
起始页码	346
卷号	346
英文摘要	Sudden Oak Death (SOD) is a devastating forest disease caused by Phytophthora ramorum, leading to rapid branch and leaf wilting. This study analyzed SOD data from various sources to study the spatiotemporal distribution of this pathogen globally. The spatial autocorrelation analysis shows that seven counties in the US have positive spatial correlations with high clustering values, whereas, the other six counties have negative correlations with low clustering values. In Europe, the regions with positive spatial correlations with high clustering values are located in England, Scotland, southern Finland, northern Germany, western France, and northern Spain, and many areas show negative correlations with low clustering values. The results of time series analysis reveal a clear seasonal pattern of pathogen incidence in the western US, with the peak of pathogen occurrences mainly in May and June. Furthermore, our spatiotemporal permutation scanning approach detects six clusters in the US and four in Western Europe during 2005-2006, 2012-2013, and 2021, providing insight into temporal dynamics and geographical hotspots of SOD. Our study also explored the impact of El Nin similar to o-Southern Oscillation (ENSO) on SOD for the first time, revealing a lag correlation up to 6 months. By improving our understanding of SOD spatiotemporal patterns and dynamics, we can better predict future trends and mitigate its impact. We recommend strengthening priority protection of host plants in areas where SOD outbreaks were clustered during La Nin similar to a events, and containing outbreak risks through effective detection, early warning and isolation of susceptible plants. This study provides a basis for global forest protection and disease prevention efforts to save susceptible plants.
英文关键词	Sudden oak death; Spatial autocorrelation; Time series analysis; Retrospective space-time permutation scan; ENSO; Lag correlation
语种	英语
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001165287600001
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301381
作者单位	Tianjin University; Tsinghua University; Chapman University System; Chapman University
推荐引用方式 GB/T 7714	Kang, Xuechun,Chen, Wei,Li, Siliang,et al. Spatiotemporal distribution of sudden oak death in the US and Europe[J],2024,346.
APA	Kang, Xuechun,Chen, Wei,Li, Siliang,Wang, Tiejun,Yu, Le,&Singh, Ramesh P..(2024).Spatiotemporal distribution of sudden oak death in the US and Europe.AGRICULTURAL AND FOREST METEOROLOGY,346.
MLA	Kang, Xuechun,et al."Spatiotemporal distribution of sudden oak death in the US and Europe".AGRICULTURAL AND FOREST METEOROLOGY 346(2024).