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Plant trait database for Cryptomeria japonica and Chamaecyparis obtusa (SugiHinoki DB): Their physiology, morphology, anatomy and biochemistry

机译:日本柳杉和Chamaecyparis obtusa(SugiHinoki DB)的植物性状数据库:其生理学,形态学,解剖学和生物化学

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Cryptomeria japonica (sugi) and Chamaecyparis obtusa (hinoki) are major Japanese timber species whose plantation area accounts for 44 and 25%, respectively, of the plantation forests in Japan. Physiology, anatomy and ecology of the species have been intensively studied for this half century, which now forms a huge stock of information. These data, however, were scattered in diverse sources, including papers, bulletins of research institutes, reports of other kinds and books, and were presented in nonstandardized, diverse styles in each source. This paper provides a database (SugiHinoki DB) that compiles 177 plant traits of sugi and hinoki from 364 primary sources published since 1950. The compiled traits include physiological, morphological, anatomical and biochemical features that are recognized as relevant to life history strategies, vegetation modeling and global change responses. Collected data have been obtained under different environmental conditions, for plants with different ages and for organs with a different age or different position, which provide information of within-species variation for a given trait. Each data entry is accompanied by detailed ancillary information describing the site of measurement, stand of measurement and detailed measurement conditions, which help users account for data variations as a consequence of phenotypic plasticity and genetic variations and to filter data. To provide data in a consistent format, the data and the ancillary information were standardized, and units were converted. After data compilation, outliers were detected by calculating interquartile range for each trait per each species. As of August 2019, SugiHinokiDB contains 24,683 data entries (16,410 for sugi, 8,273 for hinoki). As sugi and hinoki are major plantation species in Japan, the data mostly came from study sites in Japan (from Hokkaido in the north to Yakushima island in Kyushu to the south) but were also obtained from arboretums or plantation forests in Taiwan, Korea and China. Data were largely obtained from plants in plantation forests but also from plants in natural forests and under experimental conditions. The improved availability of trait data offered by SugiHinokiDB provides new research opportunities, such as the intensive parameterization of vegetation models for a more accurate prediction of climate change impacts.
机译:日本的柳杉和杉木是日本的主要木材,其人工林面积分别占日本人工林的44%和25%。在过去的半个世纪中,对该物种的生理学,解剖学和生态学进行了深入的研究,现在已形成了大量的信息。但是,这些数据分散在不同的来源中,包括论文,研究机构的公告,其他种类的报告和书籍,并且在每种来源中都以非标准化,多样的样式呈现。本文提供了一个数据库(SugiHinoki DB),该数据库汇编了自1950年以来发布的364种主要来源的sugi和hinoki的177种植物性状。已汇编的性状包括与生活史策略,植被建模有关的生理,形态,解剖和生化特征和全球变化对策。对于不同年龄的植物以及不同年龄或不同位置的器官,已经在不同的环境条件下获得了收集的数据,这些数据提供了给定性状的种内变异信息。每个数据条目均附有详细的辅助信息,这些信息描述了测量的地点,测量的立场和详细的测量条件,可帮助用户解释由于表型可塑性和遗传变异而导致的数据变异并过滤数据。为了以一致的格式提供数据,对数据和辅助信息进行了标准化,并转换了单位。数据汇总后,通过计算每个物种的每个性状的四分位间距来检测异常值。截至2019年8月,SugiHinokiDB包含24,683个数据条目(sugi为16,410,hinoki为8,273)。由于杉树和扁柏是日本的主要人工林种,因此数据主要来自日本的研究地点(从北海道到北九州的屋久岛),但也从台湾,韩国和中国的树木园或人工林中获得。 。数据主要来自人工林中的植物,也来自天然林中和实验条件下的植物。 SugiHinokiDB提供的改进的性状数据可用性提供了新的研究机会,例如对植被模型进行密集的参数化以更准确地预测气候变化影响。

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