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Weed Risk Assessment for Aquatic Plants: Modification of a New Zealand System for the United States

机译:水生植物的杂草风险评估:美国针对新西兰系统的修改

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摘要

We tested the accuracy of an invasive aquatic plant risk assessment system in the United States that we modified from a system originally developed by New Zealand’s Biosecurity Program. The US system is comprised of 38 questions that address biological, historical, and environmental tolerance traits. Values associated with each response are summed to produce a total score for each species that indicates its risk of invasion. To calibrate and test this risk assessment, we identified 39 aquatic plant species that are major invaders in the continental US, 31 species that have naturalized but have no documented impacts (minor invaders), and 60 that have been introduced but have not established. These species represent 55 families and span all aquatic plant growth forms. We found sufficient information to assess all but three of these species. When the results are compared to the known invasiveness of the species, major invaders are distinguished from minor and non-invaders with 91% accuracy. Using this approach, the US aquatic weed risk assessment correctly identifies major invaders 85%, and non-invaders 98%, of the time. Model validation using an additional 10 non-invaders and 10 invaders resulted in 100% accuracy for the former, and 80% accuracy for the latter group. Accuracy was further improved to an average of 91% for all groups when the 17% of species with scores of 31–39 required further evaluation prior to risk classification. The high accuracy with which we can distinguish non-invaders from harmful invaders suggests that this tool provides a feasible, pro-active system for pre-import screening of aquatic plants in the US, and may have additional utility for prioritizing management efforts of established species.
机译:我们在美国测试了入侵性水生植物风险评估系统的准确性,该系统是根据新西兰生物安全计划最初开发的系统修改而来的。美国系统包含38个问题,涉及生物学,历史和环境的耐受性特征。与每个响应相关的值相加得出每个物种的总分,表明其入侵的风险。为了校准和测试此风险评估,我们确定了39种水生植物物种,它们是美国大陆的主要入侵者,31种已归化但没有记载的影响(次要入侵者),以及60种已被引入但尚未确定的物种。这些物种代表55个科,涵盖所有水生植物的生长形式。我们找到了足够的信息来评估除三个物种以外的所有物种。将结果与该物种的已知入侵性进行比较时,主要入侵者与轻微入侵者和非入侵者的区分度为91%。使用这种方法,美国水生杂草风险评估可以正确地识别出85%的主要入侵者和98%的非入侵者。使用另外的10个非侵略者和10个侵略者进行模型验证,结果前者的准确度为100%,后者的准确度为80%。当在风险分类之前需要评估的分数为31-39的物种中有17%时,所有组的准确度进一步提高到平均91%。我们可以高分辨非入侵者和有害入侵者的准确度表明,该工具为美国水生植物的进口前筛查提供了一种可行的,主动的系统,并且对于优先考虑已建立物种的管理工作可能具有其他用途。 。

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