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利用植物标本馆数据评估五个同属物种的杂草性。

Use of herbarium data to evaluate weediness in five congeners.

作者信息

Hanan-A Ana M, Vibrans Heike, Cacho N Ivalú, Villaseñor José L, Ortiz Enrique, Gómez-G Vinicio A

机构信息

Posgrado en Ciencias Biológico Agropecuarias, Universidad Autónoma de Nayarit, Carretera Tepic-Compostela Km 9, Xalisco 63780, Nayarit, Mexico.

Postgrado en Botánica, Colegio de Postgraduados, 56230 Montecillo, Texcoco, Estado de México, Mexico

出版信息

AoB Plants. 2015 Dec 15;8:plv144. doi: 10.1093/aobpla/plv144.

Abstract

It is often desirable to quantify a plant's relative weediness or synanthropy, that is, the degree to which a species associates with human-caused disturbance, in order to study and understand the biology, ecology and evolution of weeds and invasive plants. Herbarium specimens are among the most accessible and verifiable sources of data on distribution and habitat. However, the habitat distribution of species may not be reflected accurately by herbarium specimen data, due to well-known biases in plant collection. Here, we assess how well herbarium specimens reflect species' weediness, when compared with direct field surveys. We used five species of Melampodium (Asteraceae) and classified their degree of weediness with a modification of Nuorteva's synanthropy index, based on herbarium specimens. We then modelled the distribution of our focal species in Mexico using MaxEnt and identified a polygon of ∼3000 km(2) in the state of Nayarit, Mexico, where there was a high probability of finding all five species. Systematic field searches in the target area documented all visible populations of four species along major and minor roads. Then we, again, classified their degree of weediness with the synanthropy index, based now on field data, and compared. We found that herbarium data were an accurate predictor of a species' weediness relative to its congeners despite the well-documented skew of herbarium data towards natural areas, which our data reflected as well. So, herbarium data can be used to classify species' weediness relative to each other, but not in absolute terms, if the specimens were correctly identified and none of the species were subject to particular collection bias. This study is the first attempt to compare herbarium and field data on this subject and may be relevant for other types of investigations based on herbarium data. Our work also highlights the usefulness of distribution models based on herbarium specimens.

摘要

为了研究和理解杂草及入侵植物的生物学、生态学和进化过程,通常需要对植物的相对杂草性或伴人程度进行量化,也就是一个物种与人为干扰相关联的程度。植物标本馆标本是关于分布和栖息地的最易获取且可验证的数据来源之一。然而,由于植物采集过程中存在众所周知的偏差,植物标本馆标本数据可能无法准确反映物种的栖息地分布。在此,我们评估与直接的野外调查相比,植物标本馆标本能多好地反映物种的杂草性。我们使用了五种牛膝菊属(菊科)植物,并基于植物标本馆标本,通过修改诺尔特瓦的伴人指数来对它们的杂草性程度进行分类。然后我们使用最大熵模型(MaxEnt)对我们重点研究的物种在墨西哥的分布进行建模,并在墨西哥纳亚里特州确定了一个面积约3000平方公里的多边形区域,在该区域发现所有五个物种的可能性很高。在目标区域进行的系统野外搜索记录了沿着主要和次要道路的四种物种的所有可见种群。然后我们再次基于野外数据,使用伴人指数对它们的杂草性程度进行分类并进行比较。我们发现,尽管有充分记录表明植物标本馆数据偏向自然区域,我们的数据也反映了这一点,但植物标本馆数据仍是一个物种相对于其同属物种杂草性的准确预测指标。所以,如果标本被正确鉴定且没有任何物种受到特定采集偏差的影响,植物标本馆数据可用于相对比较物种的杂草性,但不能用于绝对分类。本研究是首次尝试在这个主题上比较植物标本馆数据和野外数据,可能对基于植物标本馆数据的其他类型调查也有参考价值。我们的工作还突出了基于植物标本馆标本的分布模型的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53d7/4740360/a01a8cfe9d5c/plv14401.jpg

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