一个基于个体的随机模型用于包括作为管理技术的割草的日本虎杖林分的生长
A stochastic individual based model for the growth of a stand of Japanese knotweed including mowing as a management technique
摘要：
外来入侵物种对环境和健康的威胁日益严重。它们还具有重大的经济影响，因为它们可能破坏许多基础设施。日本虎杖（Fallopia japonica）分布于北美、北欧和中欧以及澳大利亚和新西兰，被世界自然保护联盟列为世界上最严重的入侵物种之一。到目前为止，大多数模型都处理了入侵如何在没有管理的情况下蔓延。本文旨在提供一个模型，能够研究和预测的动态的立场，日本虎杖考虑到割草作为一种管理技术。我们提出的模型是随机的和基于个人的，这使我们能够考虑到个人的行为取决于他们的大小和位置，以及个人的随机性。我们设置植物动力学参数，由于与现场数据的校准，并研究初始种群规模的影响，割草事件的平均数量一年和管理项目的持续时间上的平均面积和平均树冠数的立场。特别是，我们的研究结果提供了一套参数，它是可能获得的立场根除，并实现后者所需的管理项目的最短时间。
英文摘要：
Invasive alien species are a growing threat for environment and health. They also have a major economic impact, as they can damage many infrastructures. The Japanese knotweed (Fallopia japonica), present in North America, Northern and Central Europe as well as in Australia and New Zealand, is listed by the World Conservation Union as one of the world's worst invasive species. So far, most models have dealt with how the invasion spreads without management. This paper aims at providing a model able to study and predict the dynamics of a stand of Japanese knotweed taking into account mowing as a management technique. The model we propose is stochastic and individual-based, which allows us taking into account the behaviour of individuals depending on their size and location, as well as individual stochasticity. We set plant dynamics parameters thanks to a calibration with field data, and study the influence of the initial population size, the mean number of mowing events a year and the management project duration on mean area and mean number of crowns of stands. In particular, our results provide the sets of parameters for which it is possible to obtain the stand eradication, and the minimal duration of the management project necessary to achieve this latter.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
