Effective management strategies are needed to control expansion of invasive alien plant species and attenuate economic and ecological impacts. While previous theoretical studies have assessed optimal control strategies that balance economic costs and ecological benefits, less attention has been paid to the ways in which the spatial characteristics of individual patches may mediate the effectiveness of management strategies. We developed a spatially explicit cellular automaton model for invasive species spread, and compared the effectiveness of seven control strategies. These control strategies used different criteria to prioritize the removal of invasive species patches from the landscape. The different criteria were related to patch size, patch geometry, and patch position within the landscape. Effectiveness of strategies was assessed for both seed dispersing and clonally expanding plant species. We found that, for seed‐dispersing species, removal of small patches and removal of patches that are isolated within the landscape comprised relatively effective control strategies. For clonally expanding species, removal of patches based on their degree of isolation and their geometrical properties comprised relatively effective control strategies. Subsequently, we parameterized the model to mimic the observed spatial distribution of the invasive species Antigonon leptopus on St. Eustatius (northern Caribbean). This species expands clonally and also disperses via seeds, and model simulations showed that removal strategies focusing on smaller patches that are more isolated in the landscape would be most effective and could increase the effectiveness of a 10‐yr control strategy by 30–90%, as compared to random removal of patches. Our study emphasizes the potential for invasive plant species management to utilize recent advances in remote sensing, which enable mapping of invasive species at the high spatial resolution needed to quantify patch geometries. The presented results highlight how this spatial information can be used in the design of more effective invasive species control strategies.

中文翻译：

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空间明确的清除策略可提高入侵植物物种控制的效率

需要有效的管理策略来控制外来入侵植物物种的扩展并减轻经济和生态影响。尽管先前的理论研究已经评估了平衡经济成本和生态效益的最佳控制策略，但对各个斑块的空间特征可能介导管理策略有效性的方式的关注却很少。我们为入侵物种的传播开发了空间显式的细胞​​自动机模型，并比较了七个控制策略的有效性。这些控制策略使用不同的标准来确定从景观中清除入侵物种斑块的优先次序。不同的标准与斑块的大小，斑块的几何形状以及斑块在景观中的位置有关。对种子分散和无性繁殖植物物种的策略有效性进行了评估。我们发现，对于散布种子的物种，去除较小的斑块和去除景观中孤立的斑块构成了相对有效的控制策略。对于克隆扩展的物种，基于其隔离程度和几何特性去除斑块可采用相对有效的控制策略。随后，我们对模型进行参数化，以模拟观察到的入侵物种的空间分布 基于斑块的隔离度和几何特性去除斑块是相对有效的控制策略。随后，我们对模型进行参数化，以模拟观察到的入侵物种的空间分布 基于斑块的隔离度和几何特性去除斑块是相对有效的控制策略。随后，我们对模型进行参数化，以模拟观察到的入侵物种的空间分布在圣尤斯特歇斯（北加勒比）的Antigonon leptopus。该物种克隆繁殖并通过种子传播，模型模拟表明，针对在景观中更孤立的较小斑块的去除策略将是最有效的，并且可以将10年控制策略的有效性提高30-90％，与随机删除补丁相比。我们的研究强调了入侵植物物种管理利用遥感技术的最新进展的潜力，这使得能够以量化斑块几何形状所需的高空间分辨率绘制入侵物种的图谱。提出的结果突出了如何在设计更有效的入侵物种控制策略时使用该空间信息。