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珊瑚疾病“白瘟”的动态变化与影响:来自模拟模型的见解

Dynamics and impact of the coral disease white plague: insights from a simulation model.

作者信息

Brandt Marilyn E, McManus John W

机构信息

Division of Marine Biology and Fisheries, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, Florida 33149, USA.

出版信息

Dis Aquat Organ. 2009 Nov 16;87(1-2):117-33. doi: 10.3354/dao02137.

DOI:10.3354/dao02137
PMID:20095247
Abstract

Coral disease is playing a significant role in structuring today's coral reef communities. While monitoring programs document declines associated with coral disease, there is a lack of tools that can test hypotheses of disease incidence and control. Here, we describe a modeling tool developed to test hypotheses about the spread and impact of white plague disease in diverse coral populations distributed across heterogeneous reef landscapes. The model Simulation of Infected Corals (SICO) was based on the dynamics of white plague over the course of 6 yr of monitoring on the fore-reefs of Little Cayman (Cayman Islands, British West Indies). A pattern-oriented modeling approach using a genetic algorithm was used to calibrate model parameters that describe disease introduction, transmissibility, and host susceptibility. Simulation patterns most accurately reflected patterns observed at study sites when disease was introduced at regular intervals and was transmissible within a limited area. Projecting forward in time, coral cover tended to drop precipitously until colonies were so sparse that disease transmission among colonies was rare. A sensitivity analysis of disease parameters indicated that the effect of changing disease parameters depended on the type of coral community, but that in communities dominated by susceptible species, local preventative measures were generally more effective than treatment measures in limiting disease impact.

摘要

珊瑚疾病在构建当今的珊瑚礁群落中发挥着重要作用。虽然监测项目记录了与珊瑚疾病相关的衰退情况,但缺乏能够检验疾病发生率和控制假说的工具。在此,我们描述了一种开发出来的建模工具,用于检验关于白瘟病在分布于异质礁体景观中的不同珊瑚种群中的传播和影响的假说。感染珊瑚模拟模型(SICO)基于在小开曼岛(开曼群岛,英属西印度群岛)礁前进行的6年监测期间白瘟病的动态变化。使用遗传算法的面向模式建模方法用于校准描述疾病引入、传播性和宿主易感性的模型参数。当疾病以固定间隔引入且在有限区域内可传播时,模拟模式最准确地反映了在研究地点观察到的模式。随着时间向前推算,珊瑚覆盖率往往会急剧下降,直到珊瑚群体变得非常稀疏,以至于群体间的疾病传播很少见。对疾病参数的敏感性分析表明,改变疾病参数的影响取决于珊瑚群落的类型,但在以易感物种为主的群落中,局部预防措施在限制疾病影响方面通常比治疗措施更有效。

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Host size and proximity to diseased neighbours drive the spread of a coral disease outbreak in Hawai'i.
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Simulations of long-term community dynamics in coral reefs--how perturbations shape trajectories.珊瑚礁中长期社区动态的模拟——扰动如何塑造轨迹。
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