GSTDTAP  > 资源环境科学
DOI10.1016/j.tree.2019.04.012
Using Network Theory to Understand and Predict Biological Invasions
Frost, Carol M.1,2; Allen, Warwick J.3; Courchamp, Franck4; Jeschke, Jonathan M.5,6,7; Saul, Wolf-Christian5,6,7,8,9; Wardle, David A.1,10
2019-09-01
发表期刊TRENDS IN ECOLOGY & EVOLUTION
ISSN0169-5347
EISSN1872-8383
出版年2019
卷号34期号:9页码:831-843
文章类型Review
语种英语
国家Sweden; Canada; New Zealand; France; Germany; South Africa; Singapore
英文摘要

Understanding and predicting biological invasions is challenging because of the complexity of many interacting players. A holistic approach is needed with the potential to simultaneously consider all relevant effects and effectors. Using networks to describe the relevant anthropogenic and ecological factors, from community-level to global scales, promises advances in understanding aspects of invasion from propagule pressure, through establishment, spread, and ecological impact of invaders. These insights could lead to development of new tools for prevention and management of invasions that are based on species' network characteristics and use of networks to predict the ecological effects of invaders. Here, we review the findings from network ecology that show the most promise for invasion biology and identify pressing needs for future research.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000482508800010
WOS关键词PLANT-POLLINATOR NETWORKS ; APPARENT COMPETITION ; ENEMY RELEASE ; TROPHIC INTERACTIONS ; FOOD WEBS ; ECOLOGICAL NETWORKS ; BIOTIC RESISTANCE ; BIODIVERSITY LOSS ; EXOTIC PLANTS ; SPECIES ROLES
WOS类目Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/186902
专题资源环境科学
作者单位1.Swedish Univ Agr Sci, Dept Forest Ecol & Management, SE-90183 Umea, Sweden;
2.Univ Alberta, Dept Renewable Resources, 230D Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada;
3.Lincoln Univ, Bioprotect Res Ctr, POB 84, Lincoln 7647, New Zealand;
4.Univ Paris Saclay, Univ Paris Sud, CNRS, Ecol Systemat & Evolut,AgroParisTech, F-91400 Orsay, France;
5.Leibniz Inst Freshwater Ecol & Inland Fisheries I, Muggelseedamm 310, D-12587 Berlin, Germany;
6.Free Univ Berlin, Dept Biol, Inst Biol, Chem,Pharm, Konigin Luise Str 1-3, D-14195 Berlin, Germany;
7.Berlin Brandenburg Inst Adv Biodivers Res BBIB, Altensteinstr 34, D-14195 Berlin, Germany;
8.Univ Stellenbosch, CIB, Dept Bot & Zool, Private Bag X1, ZA-7602 Matieland, South Africa;
9.Univ Stellenbosch, Dept Math Sci, Private Bag X1, ZA-7602 Matieland, South Africa;
10.Nanyang Technol Univ, Asian Sch Environm, 50 Nanyang Ave, Singapore, Singapore
推荐引用方式
GB/T 7714
Frost, Carol M.,Allen, Warwick J.,Courchamp, Franck,et al. Using Network Theory to Understand and Predict Biological Invasions[J]. TRENDS IN ECOLOGY & EVOLUTION,2019,34(9):831-843.
APA Frost, Carol M.,Allen, Warwick J.,Courchamp, Franck,Jeschke, Jonathan M.,Saul, Wolf-Christian,&Wardle, David A..(2019).Using Network Theory to Understand and Predict Biological Invasions.TRENDS IN ECOLOGY & EVOLUTION,34(9),831-843.
MLA Frost, Carol M.,et al."Using Network Theory to Understand and Predict Biological Invasions".TRENDS IN ECOLOGY & EVOLUTION 34.9(2019):831-843.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Frost, Carol M.]的文章
[Allen, Warwick J.]的文章
[Courchamp, Franck]的文章
百度学术
百度学术中相似的文章
[Frost, Carol M.]的文章
[Allen, Warwick J.]的文章
[Courchamp, Franck]的文章
必应学术
必应学术中相似的文章
[Frost, Carol M.]的文章
[Allen, Warwick J.]的文章
[Courchamp, Franck]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。