One of the multiple threats to protected areas worldwide, invasive plant species have the potential to decrease biodiversity and ecosystem function. We studied changes in infestation by two widespread invasive plant species – Chromolaena odorata and Mikania micrantha – in India’s Manas National Park, a critical conservation site for threatened flora and fauna. Based on field surveys in 2011 and 2019, we found that C. odorata and M. micrantha were present in most of the sampled plots and had newly invaded over 20% of the plots. However, the abundance of M. micrantha decreased in 45% of the plots while C. odorata increased in >50% of the plots. We used a decision tree-based regression with environmental variables as predictors to generate the distribution, abundance and invasion risk maps of the two species. Among environmental variables, road proximity and fire frequency had the strongest influences, respectively, on C. odorata and M. micrantha. Invaded quadrats exhibited lower native-plant diversity than non-invaded quadrats, and C. odorata specifically had a strong negative association with native-plant community structure. These invasive species have increased their range and abundance, and our predicted invasion risk maps indicate the areas where management intervention is urgently needed.

作为全球保护区面临的多重威胁之一，入侵植物物种有可能降低生物多样性和生态系统功能。我们研究了印度玛纳斯国家公园（受威胁动植物群的重要保护地）中两种分布广泛的入侵植物物种（ Chromolaena odorata和薇甘菊）侵扰的变化。根据 2011 年和 2019 年的实地调查，我们发现C . odorata和M. _ 薇甘菊存在于大部分采样地块中，新入侵的地块超过 20%。然而， M. micrantha的丰度在 45% 的地块中减少，而C. odorata在 >50% 的地块中增加。我们使用以环境变量为预测变量的基于决策树的回归来生成这两个物种的分布、丰度和入侵风险图。在环境变量中，道路距离和火灾频率分别对C. odorata和M. micrantha的影响最强。与未入侵的样方相比，入侵的样方表现出较低的本地植物多样性，而C. odorata特别与本地植物群落结构具有强烈的负相关性。这些入侵物种增加了它们的范围和数量，我们预测的入侵风险地图指出了迫切需要管理干预的区域。