• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

太平洋西北地区(不列颠哥伦比亚省和华盛顿州)当前及本世纪中叶气候条件下的测绘与栖息地适宜性

Mapping and Habitat Suitability Under Current and Mid-Century Climate in the Pacific Northwest (BC and WA).

作者信息

Couloigner Isabelle, Dizon Carl, Mak Sunny, Dykstra Elizabeth, Fraser Erin, Morshed Muhammad, Iwasawa Stefan, Checkley Sylvia, Cork Susan

机构信息

Faculty of Veterinary Medicine, University of Calgary, Alberta, Canada.

British Columbia Centre for Disease Control, Vancouver, Canada.

出版信息

Vector Borne Zoonotic Dis. 2025 Jan;25(1):49-59. doi: 10.1089/vbz.2024.0025. Epub 2024 Aug 2.

DOI:10.1089/vbz.2024.0025
PMID:39092518
Abstract

Lyme disease is the most common vector-borne disease in the United States and Canada. The primary vector for the causative agent of Lyme disease, Borrelia burgdorferi, in the Pacific Northwest is the western blacklegged tick, Ixodes pacificus. Using active tick surveillance data from British Columbia, Canada, and Washington State, USA, habitat suitability models using MaxEnt (maximum entropy) were developed for to predict its current and mid-century geographic distributions. Passive surveillance data both from BC and WA were also visualized. According to the constructed models, the number of frost-free days during the winter is the most relevant predictor of its habitat suitability, followed by summer climate moisture, ecoregion, and mean minimum fall temperature. The ensemble geographic distribution map predicts that the coastal regions and inland valleys of British Columbia and the Puget Lowlands of Washington State provide the most suitable habitats for . The density map of ticks submitted from passive surveillance data was overlaid on the current distribution map and demonstrates the correlation between numbers of submissions and habitat suitability. Mid-century projections, based on current climate change predictions, indicate a range expansion, especially of low and moderate suitability, from current distribution. Regarding Lyme disease risk, identified from both active and passive surveillance and tested positive for were found to be in areas of moderate to very high suitability for . According to developed models, the total suitable habitat area for will expand in the interior regions of British Columbia and Washington State. However, the risk remains small given relatively low infection rates among . Further studies are required to better understand how this might change in the future.

摘要

莱姆病是美国和加拿大最常见的媒介传播疾病。在太平洋西北地区,莱姆病病原体伯氏疏螺旋体的主要传播媒介是太平洋黑腿蜱。利用来自加拿大不列颠哥伦比亚省和美国华盛顿州的蜱虫主动监测数据,开发了使用最大熵模型(MaxEnt)的栖息地适宜性模型,以预测其当前和本世纪中叶的地理分布。还可视化了来自不列颠哥伦比亚省和华盛顿州的被动监测数据。根据构建的模型,冬季无霜天数是其栖息地适宜性最相关的预测因子,其次是夏季气候湿度、生态区域和秋季平均最低温度。综合地理分布图预测,不列颠哥伦比亚省的沿海地区和内陆山谷以及华盛顿州的普吉特低地为太平洋黑腿蜱提供了最适宜的栖息地。被动监测数据提交的蜱虫密度图叠加在当前分布图上,显示了提交数量与栖息地适宜性之间的相关性。基于当前气候变化预测的本世纪中叶预测表明,其分布范围将扩大,特别是低适宜性和中等适宜性区域将从当前分布范围向外扩展。关于莱姆病风险,在主动和被动监测中识别出并检测出伯氏疏螺旋体呈阳性的蜱虫,被发现处于太平洋黑腿蜱中等至非常高适宜性的区域。根据所开发的模型,太平洋黑腿蜱的总适宜栖息地面积将在不列颠哥伦比亚省和华盛顿州的内陆地区扩大。然而,鉴于蜱虫感染率相对较低,风险仍然较小。需要进一步研究以更好地了解未来情况可能如何变化。

相似文献

1
Mapping and Habitat Suitability Under Current and Mid-Century Climate in the Pacific Northwest (BC and WA).太平洋西北地区(不列颠哥伦比亚省和华盛顿州)当前及本世纪中叶气候条件下的测绘与栖息地适宜性
Vector Borne Zoonotic Dis. 2025 Jan;25(1):49-59. doi: 10.1089/vbz.2024.0025. Epub 2024 Aug 2.
2
Lyme disease risk in southern California: abiotic and environmental drivers of Ixodes pacificus (Acari: Ixodidae) density and infection prevalence with Borrelia burgdorferi.南加州的莱姆病风险:太平洋硬蜱(蜱螨亚纲:硬蜱科)密度及感染伯氏疏螺旋体患病率的非生物和环境驱动因素
Parasit Vectors. 2017 Jan 5;10(1):7. doi: 10.1186/s13071-016-1938-y.
3
Passive Tick Surveillance and Detection of Species in Ticks from British Columbia, Canada: 2002-2018.加拿大不列颠哥伦比亚省蜱虫的被动监测及蜱虫物种检测:2002 - 2018年
Vector Borne Zoonotic Dis. 2021 Jul;21(7):490-497. doi: 10.1089/vbz.2020.2743. Epub 2021 Apr 7.
4
Eco-epidemiological factors contributing to the low risk of human exposure to ixodid tick-borne borreliae in southern California, USA.美国南加州导致人类接触硬蜱传播的疏螺旋体风险较低的生态流行病学因素。
Ticks Tick Borne Dis. 2013 Sep;4(5):377-85. doi: 10.1016/j.ttbdis.2013.02.005. Epub 2013 May 3.
5
History of the geographic distribution of the western blacklegged tick, Ixodes pacificus, in the United States.美国太平洋硬蜱(Ixodes pacificus)地理分布的历史。
Ticks Tick Borne Dis. 2024 May;15(3):102325. doi: 10.1016/j.ttbdis.2024.102325. Epub 2024 Feb 21.
6
Surveillance for Borrelia burgdorferi in Ixodes Ticks and Small Rodents in British Columbia.不列颠哥伦比亚省硬蜱和小型啮齿动物中伯氏疏螺旋体的监测
Vector Borne Zoonotic Dis. 2015 Nov;15(11):701-5. doi: 10.1089/vbz.2015.1854. Epub 2015 Oct 26.
7
Modeling future climate suitability for the western blacklegged tick, Ixodes pacificus, in California with an emphasis on land access and ownership.建模加利福尼亚西部太平洋木虱(Ixodes pacificus)未来的气候适宜性,重点关注土地使用权和所有权。
Ticks Tick Borne Dis. 2021 Sep;12(5):101789. doi: 10.1016/j.ttbdis.2021.101789. Epub 2021 Jul 13.
8
Linkages of Weather and Climate With Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae), Enzootic Transmission of Borrelia burgdorferi, and Lyme Disease in North America.北美洲天气和气候与肩突硬蜱和太平洋硬蜱(蜱螨亚纲:硬蜱科)的关联、伯氏疏螺旋体的动物间传播及莱姆病
J Med Entomol. 2016 Mar;53(2):250-61. doi: 10.1093/jme/tjv199.
9
The utility of a maximum entropy species distribution model for Ixodes scapularis in predicting the public health risk of Lyme disease in Ontario, Canada.利用最大熵物种分布模型预测加拿大安大略省鹿鼠硬蜱传播莱姆病的公共卫生风险。
Ticks Tick Borne Dis. 2022 Sep;13(5):101969. doi: 10.1016/j.ttbdis.2022.101969. Epub 2022 May 21.
10
Detection of Borrelia Genomospecies 2 in Ixodes spinipalpis Ticks Collected from a Rabbit in Canada.在加拿大一只兔子身上采集的肩突硬蜱中检测到疏螺旋体基因组种2 。
J Parasitol. 2017 Feb;103(1):38-46. doi: 10.1645/16-127. Epub 2016 Nov 11.

引用本文的文献

1
Projecting lyme disease risk in the United States: A machine learning approach integrating environmental, socioeconomic and vector factors.预测美国莱姆病风险:一种整合环境、社会经济和病媒因素的机器学习方法。
One Health. 2025 Jun 13;21:101111. doi: 10.1016/j.onehlt.2025.101111. eCollection 2025 Dec.