Stochastic spatial models of host-pathogen and host-mutualist interactions I

• 成果类型: Article
• 署名作者: Lanchier, N; Neuhauser, C
• 署名单位: Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Mathematical Sciences (INSMI); Universite de Rouen Normandie; University of Minnesota System; University of Minnesota Twin Cities
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/105051605000000782
• 发表日期: 2006
• 页码: 448-474
• 关键词: ergodic-theorems

摘要

Mutualists and pathogens, collectively called symbionts, are ubiquitous in plant communities. While some symbionts are highly host-specific, others associate with Multiple hosts. The outcomes of multispecies host-symbiont interactions with different degrees of specificity are difficult to predict ill this point due to a lack of a general conceptual framework. Complicating our predictive power is the fact that plant populations are spatially explicit, and we know from past research that explicit space call profoundly alter plant-plant interactions. We introduce a,spatially explicit stochastic model to investigate the role of explicit space and host-specificity in multispecies host-symbiont interactions. We find that in our model. pathogens, call significantly alter the spatial structure of plant communities, promoting coexistence, whereas mutualists appear to have only a limited effect. Effects are more pronounced the more host-specific symbionts are.