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2016–2024年全国松材线虫病疫区分布数据集    

A dataset of the national distribution of Pine Wilt Disease(PWD)epidemic areas in China(2016–2024)

文献类型:期刊文献

中文题名:2016–2024年全国松材线虫病疫区分布数据集

英文题名:A dataset of the national distribution of Pine Wilt Disease(PWD)epidemic areas in China(2016–2024)

作者:肖云丹[1] 纪平[1] 魏胜蓉[1] 张乃静[1] 胡丹阳[1]

第一作者:肖云丹

机构:[1]中国林业科学研究院资源信息研究所,北京100091

年份:2025

卷号:10

期号:3

起止页码:507-513

中文期刊名:中国科学数据(中英文网络版)

外文期刊名:China Scientific Data

基金:国家林业和草原科学数据中心子项目(NFGDC-2022-D03)。

语种:中文

中文关键词:松材线虫;松材线虫病;病疫区;分布;分布数据集;中国

外文关键词:Bursaphelenchus xylophilus;pine wilt disease(PWD);epidemic area;distribution;distribution dataset;China

分类号:S763.18

摘要:松材线虫(Bursaphelenchus xylophilus)自1982年首次传入我国以后迅速蔓延,对我国的包括松树在内的70余种针叶树造成了前所未有的威胁,严重威胁着我国森林资源的安全与生态环境的平衡。鉴于气候变化与人类活动加剧的背景,由其引起的松材线虫病的传播速度进一步加快,防控形势日益严峻。本数据集聚焦于这一全球范围内极具破坏力的森林病害—病原松材线虫在中国境内的分布与扩散情况。数据来源于国家林业和草原局发布的各年度松材线虫病疫区公告及其撤销公告。利用ArcGIS软件,以全国1:100万比例尺基础地理信息数据为底图,对县级行政区划属性值进行编辑处理,生成逐年县级尺度松材线虫病疫区分布数据集,并对松材线虫病疫区进行专题制图。数据制作流程涵盖了从数据源收集,数据整理与合并,参考规范与标准以及专题制图到成果输出、审核和校验的全过程,确保了本数据集的准确性和制图的专业性。数据集覆盖了2016–2024年间全国范围内松材线虫病的分布情况,旨在通过详尽的地理分布信息,全面反映该病害在不同地区、不同时间段的扩散趋势与危害程度。本数据集有助于当地管理部门及时发现疫情风险点,为防治工作提供预警信息,还有助于评估疫情对自然景观、生态环境和经济社会发展的影响,为制定针对性的防治措施提供依据。
Since its first introduction into China in 1982,the pine wood nematode(Bursaphelenchus xylophilus)has spread rapidly,posing an unprecedented threat to more than 70 species of conifers(including pines),and seriously threatening the security of the forest resources and the balance of its ecological environment in China.Against the background of climate change and intensified human activities,the spread of the pine wilt disease(PWD)caused by this nematode has further accelerated,making prevention and control situation increasingly challenging.This dataset focuses on the distribution and spread of this globally devastating forest disease agent,the pine wood nematode,in China.The data came from the annual announcements of the PWD epidemic areas and their cancellation announcements released by the National Forestry and Grassland Administration.Using ArcGIS software,we edited and processed the attribute values of county-level administrative divisions based on the national 1:100,000-scale basic geographic information data.The resulting outputs are annual county-level datasets of the PWD epidemic area distributions,accompanied by thematic maps.The data production process covers the entire process,including data collection from sources,data sorting and merging,compliance with reference specifications and standards,thematic mapping,output,review and verification of the results,ensuring both accuracy and professional cartographic quality.The dataset provides detailed geographic distribution that comprehensively reflects the spatial and temporal dynamics of PWD spread and its severity across different regions of China from 2016 to 2024.The dataset helps local authorities to identify epidemic risk points in time and deliver early warning information for prevention and control efforts,assess impacts of the epidemic on natural landscapes,ecological environments,and socio-economic development,and support the formulation of targeted prevention and control measures.

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