三种致敏入侵豚草种在亚洲的潜在分布预测

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Informatics Pub Date : 2021-05-18 DOI:10.3808/JEI.202000444
Z. Qin, J. E. Zhang, A. DiTommaso, J. Díez, Y. Zhao, F. Wang
{"title":"三种致敏入侵豚草种在亚洲的潜在分布预测","authors":"Z. Qin, J. E. Zhang, A. DiTommaso, J. Díez, Y. Zhao, F. Wang","doi":"10.3808/JEI.202000444","DOIUrl":null,"url":null,"abstract":"Three ragweed species native to North America (Ambrosia artemisiifolia L., A. psilostachya DC, and A. trifida L.) that have been introduced into Asia are now spreading quickly in many regions. Predicting which specific areas may be vulnerable to the invasion of these allergenic Ambrosia species can provide valuable insights for early detection and for prioritizing preventive actions. Species distribution models, based on native and non-Asian occurrence records for these three Ambrosia species, were generated with the maximum entropy (Maxent) approach respectively. Spatial filtering and target-group background methods were used to address sampling bias. Models fitted with different levels of complexity under present conditions were compared and evaluated with independent Asian records. Models showing lower over-fitting and higher performance were then selected to assess their future distribution under two types of Representative Concentration Pathways (RCP4.5 and RCP8.5), using four General Circulation Models (GCMs). Predicted habitats for A. artemisiifolia in 2050 would contract in regions having been colonized, despite a limited increase in parts of China. This species may experience a southward range shift in China. Under all future climate scenarios, A. trifida was predicted to decrease its potential establishment while A. psilostachya would expand its range, especially in habitats being colonized currently. Special attention should be given to Hunan, Jiangxi Provinces and scattered along southeastern coastal regions of China as well as parts of Turkey and northwest Iran, Azerbaijan, considering that future potential distribution of A. artemisiifolia and A. psilostachya might increase in these areas respectively. The findings provide valuable information for assessing the risk that these three Ambrosia species pose to many Asian countries and for prioritizing early detection and prevention strategies.","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":null,"pages":null},"PeriodicalIF":6.0000,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Predicting the Potential Distribution of Three Allergenic Invasive Ambrosia (ragweed) Species in Asia\",\"authors\":\"Z. Qin, J. E. Zhang, A. DiTommaso, J. Díez, Y. Zhao, F. Wang\",\"doi\":\"10.3808/JEI.202000444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three ragweed species native to North America (Ambrosia artemisiifolia L., A. psilostachya DC, and A. trifida L.) that have been introduced into Asia are now spreading quickly in many regions. Predicting which specific areas may be vulnerable to the invasion of these allergenic Ambrosia species can provide valuable insights for early detection and for prioritizing preventive actions. Species distribution models, based on native and non-Asian occurrence records for these three Ambrosia species, were generated with the maximum entropy (Maxent) approach respectively. Spatial filtering and target-group background methods were used to address sampling bias. Models fitted with different levels of complexity under present conditions were compared and evaluated with independent Asian records. Models showing lower over-fitting and higher performance were then selected to assess their future distribution under two types of Representative Concentration Pathways (RCP4.5 and RCP8.5), using four General Circulation Models (GCMs). Predicted habitats for A. artemisiifolia in 2050 would contract in regions having been colonized, despite a limited increase in parts of China. This species may experience a southward range shift in China. Under all future climate scenarios, A. trifida was predicted to decrease its potential establishment while A. psilostachya would expand its range, especially in habitats being colonized currently. Special attention should be given to Hunan, Jiangxi Provinces and scattered along southeastern coastal regions of China as well as parts of Turkey and northwest Iran, Azerbaijan, considering that future potential distribution of A. artemisiifolia and A. psilostachya might increase in these areas respectively. The findings provide valuable information for assessing the risk that these three Ambrosia species pose to many Asian countries and for prioritizing early detection and prevention strategies.\",\"PeriodicalId\":54840,\"journal\":{\"name\":\"Journal of Environmental Informatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2021-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Informatics\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.3808/JEI.202000444\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Informatics","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3808/JEI.202000444","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 3

摘要

原产于北美的三种豚草(Ambrosia artemisiifolia L., A. psilostachya DC .和A. trifida L.)已被引入亚洲,目前正在许多地区迅速蔓延。预测哪些特定区域可能容易受到这些过敏性安氏菌物种的入侵,可以为早期发现和优先采取预防措施提供有价值的见解。利用最大熵(Maxent)法分别建立了三种Ambrosia的本地和非亚洲发生记录的物种分布模型。采用空间滤波和目标群体背景方法来解决抽样偏差。在当前条件下拟合不同复杂程度的模型与独立的亚洲记录进行了比较和评估。然后选择具有较低过拟合和较高性能的模型,使用四种一般循环模型(GCMs)评估它们在两种典型浓度路径(RCP4.5和RCP8.5)下的未来分布。预计到2050年,在已被殖民的地区,蒿属植物的栖息地将会收缩,尽管中国部分地区的蒿属植物数量会有有限的增长。本种在中国可能经历向南的范围转移。在未来的气候情景下,三叶草的潜在种群数量将会减少,而拟犀草的分布范围将会扩大,尤其是在目前已被殖民的生境中。应特别注意湖南、江西和分散在中国东南沿海地区以及土耳其部分地区和伊朗西北部、阿塞拜疆等地的蒿属植物,因为这些地区未来的潜在分布可能会增加。这些发现为评估这三种Ambrosia物种对许多亚洲国家构成的风险以及优先考虑早期发现和预防策略提供了有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Predicting the Potential Distribution of Three Allergenic Invasive Ambrosia (ragweed) Species in Asia
Three ragweed species native to North America (Ambrosia artemisiifolia L., A. psilostachya DC, and A. trifida L.) that have been introduced into Asia are now spreading quickly in many regions. Predicting which specific areas may be vulnerable to the invasion of these allergenic Ambrosia species can provide valuable insights for early detection and for prioritizing preventive actions. Species distribution models, based on native and non-Asian occurrence records for these three Ambrosia species, were generated with the maximum entropy (Maxent) approach respectively. Spatial filtering and target-group background methods were used to address sampling bias. Models fitted with different levels of complexity under present conditions were compared and evaluated with independent Asian records. Models showing lower over-fitting and higher performance were then selected to assess their future distribution under two types of Representative Concentration Pathways (RCP4.5 and RCP8.5), using four General Circulation Models (GCMs). Predicted habitats for A. artemisiifolia in 2050 would contract in regions having been colonized, despite a limited increase in parts of China. This species may experience a southward range shift in China. Under all future climate scenarios, A. trifida was predicted to decrease its potential establishment while A. psilostachya would expand its range, especially in habitats being colonized currently. Special attention should be given to Hunan, Jiangxi Provinces and scattered along southeastern coastal regions of China as well as parts of Turkey and northwest Iran, Azerbaijan, considering that future potential distribution of A. artemisiifolia and A. psilostachya might increase in these areas respectively. The findings provide valuable information for assessing the risk that these three Ambrosia species pose to many Asian countries and for prioritizing early detection and prevention strategies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
期刊最新文献
Modelling Soil δ13C across the Tibetan Plateau Using Deep-Learning Impact of Carbon Emissions and Advance Payment on Optimal Decisions for Perishable Products via Parametric Approach of Interval Prediction of the Breeding and Wintering Ranges of Pomacea canaliculata in China Using Ensemble Models Decentralized Algae Removal Technologies for Lake Diefenbaker Irrigation Canals: A Review Real-Time LNG Buses Emissions Prediction Based on a Temporal Fusion Trans-Formers Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1