A generic structure for plant trait databases

doi:10.1111/j.2041-210X.2010.00067.x

2010-09-28

DOI：10.1111/j.2041-210X.2010.00067.x

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摘要

En 中文

P>1. Plant traits are fundamental for understanding and predicting vegetation responses to global changes, and they provide a promising basis towards a more quantitative and predictive approach to ecology. As a consequence, information on plant traits is rapidly accumulating, and there is a growing need for efficient database tools that enable the assembly and synthesis of trait data. 2. Plant traits are highly heterogeneous, exhibit a low degree of standardization and are linked and interdependent at various levels of biological organization: tissue, organ, plant and population. Therefore, they often require ancillary data for interpretation, including descriptors of the biotic and abiotic environment, methods and taxonomic relationships. 3. We introduce a generic database structure that is tailored to accommodate plant trait complexity and is consistent with current theoretical approaches to characterize the structure of observational data. The over-arching utility of the proposed database structure is illustrated based on two independent plant trait database projects. 4. The generic database structure proposed here is meant to serve as a flexible blueprint for future plant trait databases, improving data discovery, and ensuring compatibility among them.

Keyword:

ancillary data

bio-informatics

covariates

dimensional data model

eco-informatics

functional biodiversity

hierarchical data structure

relational database

star-scheme

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Methods in Ecology and Evolution

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universite grenoble alpes (uga)

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communaute universite grenoble alpes

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