利用标本馆记录分析一种植物对气候变化因素的反应Collinsia violacea Nutt.(Plantaginaceae).

Lynn Nguyen, Jennifer Messick
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引用次数: 0

摘要

气候变化导致物种的物候发生了各种变化,其中一些变化已通过标本馆标本记录了下来。了解植物是如何对环境变化做出反应的,可以让科学家深入了解植物是如何应对以及将如何应对气候变化带来的持续后果,以及如何进行生物多样性保护。在这项研究中,利用 1895 年至 2014 年的 Collinsia violacea Nutt.标本馆记录,采用回归分析法显示了与各种地理和气候变量有关的初花期和盛花期的变化趋势。简单线性回归分析的结果显示,初花期和盛花期的开花时间有逐年提前的趋势,但关系并不显著。初花期的多元线性回归完整模型显示,纬度、经度和月平均气温的增加与延迟开花有关,而月最低气温和最高气温的增加与提前开花有关。盛花期的完整模型显示,盛花期随着纬度、经度和月最高气温的增加而推迟。去除高度相关变量后的简化模型显示,随着纬度、经度和月平均气温的增加,初花期和盛花期明显推迟,但月降水量与花期之间没有明显关系。要充分了解这些变化的影响,还需要进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of a Plant’s Response to Climate Change Factors Through the Use of Herbarium Records: Collinsia violacea Nutt. (Plantaginaceae).
Climate change has resulted in various changes to the phenology of species, and some of these changes have been documented through the use of herbarium specimens. Understanding how plants react to changes in the environment can give scientists insight into how plants have been responding and will respond to the continuing consequences of climate change as well as how to approach biodiversity conservation. In this study, herbarium records of Collinsia violacea Nutt. ranging from 1895 to 2014 were utilized to show the trends of the first and peak flowering dates with regard to various geographic and climatic variables using regression analysis. The results from simple linear regression analyses showed a trend of the flowering times for first and peak flowering dates occurring earlier over the years; however, the relationship was not significant. The multiple linear regression full model for first flowering indicated increases in latitude, longitude, and mean monthly temperatures were associated with delayed flowering while increases in monthly minimum and maximum temperatures were associated with earlier flowering. The full model for peak flowering showed that peak flowering was delayed with increases in latitude, longitude, and maximum monthly temperature. The reduced models, with highly correlated variables removed, indicated significant delays in first flowering and peak flowering with increases in latitude, longitude, and mean monthly temperature, but no significant relationship between monthly precipitation and flowering time. Further research is needed to fully understand the implications of these changes.
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