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一个用于在大黄石生态系统中传播特定宿主森林病原体的生态系统规模模型。

An ecosystem-scale model for the spread of a host-specific forest pathogen in the Greater Yellowstone Ecosystem.

机构信息

Department of Environmental Science, Policy, and Management, University of California, Berkeley, California 94720, USA.

出版信息

Ecol Appl. 2011 Jun;21(4):1138-53. doi: 10.1890/09-2118.1.

Abstract

The introduction of nonnative pathogens is altering the scale, magnitude, and persistence of forest disturbance regimes in the western United States. In the high-altitude whitebark pine (Pinus albicaulis) forests of the Greater Yellowstone Ecosystem (GYE), white pine blister rust (Cronartium ribicola) is an introduced fungal pathogen that is now the principal cause of tree mortality in many locations. Although blister rust eradication has failed in the past, there is nonetheless substantial interest in monitoring the disease and its rate of progression in order to predict the future impact of forest disturbances within this critical ecosystem. This study integrates data from five different field-monitoring campaigns from 1968 to 2008 to create a blister rust infection model for sites located throughout the GYE. Our model parameterizes the past rates of blister rust spread in order to project its future impact on high-altitude whitebark pine forests. Because the process of blister rust infection and mortality of individuals occurs over the time frame of many years, the model in this paper operates on a yearly time step and defines a series of whitebark pine infection classes: susceptible, slightly infected, moderately infected, and dead. In our analysis, we evaluate four different infection models that compare local vs. global density dependence on the dynamics of blister rust infection. We compare models in which blister rust infection is: (1) independent of the density of infected trees, (2) locally density-dependent, (3) locally density-dependent with a static global infection rate among all sites, and (4) both locally and globally density-dependent. Model evaluation through the predictive loss criterion for Bayesian analysis supports the model that is both locally and globally density-dependent. Using this best-fit model, we predicted the average residence times for the four stages of blister rust infection in our model, and we found that, on average, whitebark pine trees within the GYE remain susceptible for 6.7 years, take 10.9 years to transition from slightly infected to moderately infected, and take 9.4 years to transition from moderately infected to dead. Using our best-fit model, we project the future levels of blister rust infestation in the GYE at critical sites over the next 20 years.

摘要

非本地病原体的引入正在改变美国西部森林干扰模式的规模、幅度和持续性。在大黄石生态系统(GYE)的高海拔白皮松(Pinus albicaulis)森林中,白皮松疱锈病(Cronartium ribicola)是一种引入的真菌病原体,现已成为许多地区树木死亡的主要原因。尽管过去根除疱锈病的尝试都失败了,但人们仍然非常关注监测这种疾病及其传播速度,以便预测该关键生态系统内森林干扰的未来影响。本研究整合了 1968 年至 2008 年五次不同实地监测活动的数据,为 GYE 各地的地点创建了疱锈病感染模型。我们的模型参数化了过去疱锈病传播的速度,以便预测其对高海拔白皮松森林的未来影响。由于疱锈病感染和个体死亡的过程需要多年时间,因此本文中的模型以每年的时间步长运行,并定义了一系列白皮松感染类别:易感、轻度感染、中度感染和死亡。在我们的分析中,我们评估了四种不同的感染模型,这些模型比较了局部和全局密度对疱锈病感染动态的影响。我们比较了以下四种模型:(1)疱锈病感染与感染树木的密度无关;(2)局部密度依赖;(3)局部密度依赖,同时所有地点的全局感染率保持静态;(4)局部和全局密度依赖。通过贝叶斯分析的预测损失准则对模型进行评估,支持局部和全局密度都依赖的模型。使用最佳拟合模型,我们预测了模型中疱锈病感染的四个阶段的平均居留时间,我们发现,平均而言,GYE 内的白皮松在易感阶段持续 6.7 年,从轻度感染过渡到中度感染需要 10.9 年,从中度感染过渡到死亡需要 9.4 年。使用我们的最佳拟合模型,我们预测了未来 20 年内 GYE 关键地点疱锈病感染的水平。

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