globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12418
Scopus记录号: 2-s2.0-84925787525
论文题名:
The community ecology of pathogens: Coinfection, coexistence and community composition
作者: Seabloom E.W.; Borer E.T.; Gross K.; Kendig A.E.; Lacroix C.; Mitchell C.E.; Mordecai E.A.; Power A.G.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2015
卷: 18, 期:4
起始页码: 401
结束页码: 415
语种: 英语
英文关键词: Coinfection ; Community ecology ; Disease ecology ; Dispersal ; Drift ; Metacommunity ; Metapopulation ; Pathogen ; Selection ; Speciation
Scopus关键词: coexistence ; community composition ; community ecology ; disease ; dispersal ; infectivity ; metapopulation ; pathogen ; selection ; speciation (biology) ; biological model ; ecology ; evolution ; host pathogen interaction ; mixed infection ; procedures ; statistics ; Biological Evolution ; Coinfection ; Ecology ; Host-Pathogen Interactions ; Models, Biological ; Stochastic Processes
英文摘要: Disease and community ecology share conceptual and theoretical lineages, and there has been a resurgence of interest in strengthening links between these fields. Building on recent syntheses focused on the effects of host community composition on single pathogen systems, we examine pathogen (microparasite) communities using a stochastic metacommunity model as a starting point to bridge community and disease ecology perspectives. Such models incorporate the effects of core community processes, such as ecological drift, selection and dispersal, but have not been extended to incorporate host-pathogen interactions, such as immunosuppression or synergistic mortality, that are central to disease ecology. We use a two-pathogen susceptible-infected (SI) model to fill these gaps in the metacommunity approach; however, SI models can be intractable for examining species-diverse, spatially structured systems. By placing disease into a framework developed for community ecology, our synthesis highlights areas ripe for progress, including a theoretical framework that incorporates host dynamics, spatial structuring and evolutionary processes, as well as the data needed to test the predictions of such a model. Our synthesis points the way for this framework and demonstrates that a deeper understanding of pathogen community dynamics will emerge from approaches working at the interface of disease and community ecology. © 2015 John Wiley & Sons Ltd/CNRS.
Citation statistics:
被引频次[WOS]:117   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107884
Appears in Collections:气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Department of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN, United States; Biomathematics Program, North Carolina State University, Raleigh, NC, United States; Department of Biology, University of North Carolina, Chapel Hill, NC, United States; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, United States

Recommended Citation:
Seabloom E.W.,Borer E.T.,Gross K.,et al. The community ecology of pathogens: Coinfection, coexistence and community composition[J]. Ecology Letters,2015-01-01,18(4)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Seabloom E.W.]'s Articles
[Borer E.T.]'s Articles
[Gross K.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Seabloom E.W.]'s Articles
[Borer E.T.]'s Articles
[Gross K.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Seabloom E.W.]‘s Articles
[Borer E.T.]‘s Articles
[Gross K.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.