Global root traits (GRooT) database
Global root traits (GRooT) database
复制标题
DOI：
10.1111/geb.13179
复制
发表时间：
2020-09-09
影响因子：
6.4
通讯作者：
Weigelt, Alexandra
中科院分区：
文献类型：
--
作者：
Guerrero-Ramirez, Nathaly R.;Mommer, Liesje;Weigelt, Alexandra
动机性状数据是定量描述植物形态和功能的基础。虽然根系性状捕捉到了与植物对不断变化的环境条件的反应和对生态系统过程的影响有关的关键维度，但它们很少被纳入大规模比较研究和全球模型。例如，几乎所有定义植物形态和功能全球谱的研究都没有根系性状。因此，为了克服概念和方法上的障碍，防止根性状数据广泛整合到大规模的分析中，我们创建了全球根性状（GRooT）数据库。GRooT通过将根系生态学家的专业知识与数据动员和管理相结合，提供随时可用的数据。具体而言，我们（a）确定了一组核心根性状相关的植物形态和功能的描述的基础上由专家进行评估，（B）最大限度地通过数据标准化内和性状之间的物种覆盖率，和（c）实施数据质量检查。GRooT包含38个连续根系性状的114，222个性状记录。空间位置和粮食全球覆盖范围与数据从干旱，大陆，极地，温带和热带生物群系。根系性状的数据来自实验研究和田间研究。时间段和粮食数据记录在1911年至2019年之间。主要分类群和测量水平GRooT包括可获得分类信息的根性状数据。性状记录的分类分辨率各不相同，亚种或变种是最高的，属是最低的分类分辨率。它包含了254科1,967属6,214种184亚种或变种的信息。由于数据来源的差异，数据库中的性状记录包括个体观测值和平均值。软件格式GRooT包括两个csv文件。GitHub存储库包含csv文件和R中的脚本来查询数据库。
Motivation Trait data are fundamental to the quantitative description of plant form and function. Although root traits capture key dimensions related to plant responses to changing environmental conditions and effects on ecosystem processes, they have rarely been included in large-scale comparative studies and global models. For instance, root traits remain absent from nearly all studies that define the global spectrum of plant form and function. Thus, to overcome conceptual and methodological roadblocks preventing a widespread integration of root trait data into large-scale analyses we created the Global Root Trait (GRooT) Database. GRooT provides ready-to-use data by combining the expertise of root ecologists with data mobilization and curation. Specifically, we (a) determined a set of core root traits relevant to the description of plant form and function based on an assessment by experts, (b) maximized species coverage through data standardization within and among traits, and (c) implemented data quality checks. Main types of variables contained GRooT contains 114,222 trait records on 38 continuous root traits. Spatial location and grain Global coverage with data from arid, continental, polar, temperate and tropical biomes. Data on root traits were derived from experimental studies and field studies. Time period and grain Data were recorded between 1911 and 2019. Major taxa and level of measurement GRooT includes root trait data for which taxonomic information is available. Trait records vary in their taxonomic resolution, with subspecies or varieties being the highest and genera the lowest taxonomic resolution available. It contains information for 184 subspecies or varieties, 6,214 species, 1,967 genera and 254 families. Owing to variation in data sources, trait records in the database include both individual observations and mean values. Software format GRooT includes two csv files. A GitHub repository contains the csv files and a script in R to query the database.