Format:
1 Online-Ressource (13 Seiten)
Content:
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.
Content:
Peer Reviewed
In:
Oxford [u.a.] : Wiley-Blackwell, 30,1, Seiten 25-37
Language:
English
URN:
urn:nbn:de:kobv:11-110-18452/27010-4
URL:
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