@article{fdi:010077486,
  title = {{TRY} plant trait database - enhanced coverage and open access},
  author = {{K}attge, {J}. and {B}onisch, {G}. and {D}iaz, {S}. and {L}avorel, {S}. and {P}rentice, {I}. {C}. and {L}eadley, {P}. and {B}ruy, {D}avid and {R}{\'e}jou-{M}{\'e}chain, {M}axime and et al.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}lant 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. {P}lant 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. {S}ince its foundation in 2007, the {TRY} database of plant traits has grown continuously. {I}t now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. {I}ncreasingly, 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. {T}o 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. {B}est species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. {H}owever, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. {T}hese traits have to be measured on individual plants in their respective environment. {D}espite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. {W}e, 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. {T}his can only be achieved in collaboration with other initiatives.},
  keywords = {data coverage ; data integration ; data representativeness ; functional diversity ; plant traits ; {TRY} plant trait database},
  booktitle = {},
  journal = {{G}lobal {C}hange {B}iology},
  volume = {26},
  numero = {1},
  pages = {119--188},
  ISSN = {1354-1013},
  year = {2020},
  DOI = {10.1111/gcb.14904},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077486},
}