2017
DOI: 10.1007/s10530-017-1487-0
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Ecology of invasive forest pathogens

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Cited by 65 publications
(47 citation statements)
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“…This not only creates challenges in designing control measures for pathogens as a general invasive threat, but also in tackling individual pathogens, which can present unfamiliar life history traits . These complex and often still unknown life histories, as well as their potential for relatively rapid evolution, restrict our ability to predict which pathogens will become invasive, and how any invasion will progress (Ghelardini et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…This not only creates challenges in designing control measures for pathogens as a general invasive threat, but also in tackling individual pathogens, which can present unfamiliar life history traits . These complex and often still unknown life histories, as well as their potential for relatively rapid evolution, restrict our ability to predict which pathogens will become invasive, and how any invasion will progress (Ghelardini et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The dynamics of these two types of sequestration modes differ, which affect their contribution to climate policy [23]. In this study we consider only above ground sequestration due to our focus on the impact of pathogens, and little is known about their effects in general and particularly on below ground conditions [10]. Carbon sequestration in each EU country i = 1,...,n and type of forest, u, (conifer, deciduous, and afforested land) is then determined by the difference in productivity, defined as forest volume per ha, between two time periods, S i,u t , written as:…”
Section: Structure Of the Dynamic Optimization Modelmentioning
confidence: 99%
“…is the growth function and H i,u t is the harvest, assumed to occur at the end of the year. Pathogens show diverse impacts from the gene to the ecosystem system level, and can affect the growth of trees, mortality rate, and quality of timber [10]. The effects on the trees depend on their resistance, and on the impact on the forest ecosystem.…”
Section: Structure Of the Dynamic Optimization Modelmentioning
confidence: 99%
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