TRY plant trait database - enhanced coverage and open access

Show full item record



Permalink

http://hdl.handle.net/10138/311666

Citation

Nutrient Network , Aakala , T & Makela , A 2020 , ' TRY plant trait database - enhanced coverage and open access ' , Global Change Biology , vol. 26 , no. 1 , pp. 119-188 . https://doi.org/10.1111/gcb.14904

Title: TRY plant trait database - enhanced coverage and open access
Author: Nutrient Network; Aakala, Tuomas; Makela, Annikki
Contributor organization: Department of Forest Sciences
Boreal forest dynamics and biodiversity research group
Forest Ecology and Management
Department of Geosciences and Geography
INAR Physics
Department of Medicine
Kardiologian yksikkö
HUS Heart and Lung Center
HUS Internal Medicine and Rehabilitation
Forest Modelling Group
Date: 2020-01
Language: eng
Number of pages: 70
Belongs to series: Global Change Biology
ISSN: 1354-1013
DOI: https://doi.org/10.1111/gcb.14904
URI: http://hdl.handle.net/10138/311666
Abstract: Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Description: This article has 730 authors, of which I have only listed the lead author and myself as a representative of University of Helsinki
Subject: data coverage
data integration
data representativeness
functional diversity
plant traits
TRY plant trait database
INCLINATION ANGLE DISTRIBUTION
LEAF PHOTOSYNTHETIC TRAITS
RELATIVE GROWTH-RATE
FUNCTIONAL TRAITS
GLOBAL PATTERNS
LIFE-HISTORY
ROOT TRAITS
WOOD DENSITY
COMMUNITY COMPOSITION
LITTER DECOMPOSITION
1181 Ecology, evolutionary biology
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


Files in this item

Total number of downloads: Loading...

Files Size Format View
gcb.14904.pdf 7.284Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record