Please Scroll down for Article Stochastic Models Stochastic Spatial Models of Host-pathogen and Host-mutualist Interactions Ii Stochastic Spatial Models of Host-pathogen and Host-mutualist Interactions Ii

Please Scroll down for Article Stochastic Models Stochastic Spatial Models of Host-pathogen and Host-mutualist Interactions Ii Stochastic Spatial Models of Host-pathogen and Host-mutualist Interactions Ii
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请向下滚动查看文章 随机模型 宿主-病原体和宿主-互利相互作用的随机空间模型 Ii 宿主-病原体和宿主-互利相互作用的随机空间模型 Ii

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通讯作者:
C. Neuhauser
C. Neuhauser
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作者:
N. Lanchier;C Neuhauser;C. Neuhauser

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本文可用于研究、教学和私人学习目的。明确禁止以任何形式对本网站进行大量或系统的复制、再分发、转售、出借或再许可、系统供应或分发。出版商不提供任何明示或暗示的保证,也不表示内容将是完整的、准确的或最新的。任何说明书、配方和药物剂量的准确性都应通过第一手资料进行独立验证。出版商不对任何直接或间接与使用本材料有关或因使用本材料而引起的损失、诉讼、索赔、诉讼、要求或费用或损害承担责任。植物群落结构是由植物与其病原体和互利共生体(统称为共生体)之间的相互作用形成的。有些共生体是高度专业化的,有些是通才,增加了相互作用的复杂性。基于理想化模型的概念框架的发展是达到理解水平的必要步骤,这将使我们能够预测这些相互作用的结果。在本文中,我们介绍了空间上明确的,随机模型的多物种主机共生体的相互作用,特别注重专业化程度如何影响共存的多个主机和它们的共生体,以及在共存的情况下,什么样的空间格局的结果。我们严格的结果,辅以模拟,给出了一个完整的描述这些主机共生模型的行为。分析证明,通才共生体只有有限的影响,主机社区的结构,相比之下,可以显着改变专业互惠,最有益的互惠连同其最喜爱的主机胜过所有其他物种。数值模拟进一步表明,在中性的情况下,专业病原体促进当地的多样性,而专业互利导致一个粗粒度的栖息地。本文还对未来的研究方向进行了展望。
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Plant community structure is shaped by interactions among plants and their pathogens and mutualists (collectively called symbionts). Some symbionts are highly specialized, others are generalists, adding to the complexity of interactions. The development of a conceptual framework that is based on idealized models is a necessary step in reaching a level of understanding that would allow us to predict outcomes of these interactions. In this paper, we introduce spatially explicit, stochastic models of multispecies host-symbionts interactions with a specific focus on how the degree of specialization affects coexistence of multiple hosts and their symbionts, and, in case of coexistence, what spatial patterns result. Our rigorous results, supplemented by simulations, give a complete description of the behavior of these host-symbionts models. It is proved analytically that generalist symbionts have only a limited effect on the structure of host communities which, in contrast, can be significantly altered by specialist mutualists, with the most beneficial mutualist together with its most preferred hosts outcompeting all the other species. Numerical simulations further suggest that, in the neutral case, specialist pathogens promote the local diversity whereas specialist mutualists lead to a coarse-grained habitat. This paper also contains conjectures for future research directions.