2019
DOI: 10.1111/jbi.13623
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GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography

Abstract: Aim:To understand how functional traits and evolutionary history shape the geographic distribution of plant life on Earth, we need to integrate high-quality and global-scale distribution data with functional and phylogenetic information. Largescale distribution data for plants are, however, often restricted to either certain taxonomic groups or geographic regions. Range maps only exist for a small subset of all plant species and digitally available point-occurrence information is biased both geographically and… Show more

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Cited by 164 publications
(217 citation statements)
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“…Opportunities exist for expanding the spatial and taxonomic coverage of trait observations, particularly by strengthening interdisciplinary connections across single organismic groups. Despite certain plant traits (for example, growth form, height and leaf size) being carefully catalogued in taxonomic species descriptions 47 , these data have only recently been exchanged with large-scale databases such as TRY 21 or BIEN (http://bien.nceas.ucsb.edu/bien/). Although several informatics challenges in biodiversity science have now been overcome (for example, synthesizing global species occurrence information (https://www.gbif.org/) and sharing genetic data on individuals (https://www.ncbi.nlm.nih.gov/genbank/)), trait science lacks a vision for achieving global integration across all organisms.…”
Section: Current Barriers To Global Trait-based Sciencementioning
confidence: 99%
“…Opportunities exist for expanding the spatial and taxonomic coverage of trait observations, particularly by strengthening interdisciplinary connections across single organismic groups. Despite certain plant traits (for example, growth form, height and leaf size) being carefully catalogued in taxonomic species descriptions 47 , these data have only recently been exchanged with large-scale databases such as TRY 21 or BIEN (http://bien.nceas.ucsb.edu/bien/). Although several informatics challenges in biodiversity science have now been overcome (for example, synthesizing global species occurrence information (https://www.gbif.org/) and sharing genetic data on individuals (https://www.ncbi.nlm.nih.gov/genbank/)), trait science lacks a vision for achieving global integration across all organisms.…”
Section: Current Barriers To Global Trait-based Sciencementioning
confidence: 99%
“…If excluded, the association between occurrence on islands and selfing ability was weaker (i.e., less often positive). However, this more conservative dataset might be biased toward island species, because the GIFT database started with the compilation of island floras (Weigelt et al, ). Given that only a few mainland species remained in this dataset, that is, most species were island colonists, the comparison between island and mainland occurrences might have been less powerful than when all species were included.…”
Section: Discussionmentioning
confidence: 99%
“…To obtain information on the native distribution of each species with quantitative breeding‐system data on islands and mainlands, we used the Global Inventory of Floras and Traits (GIFT; Weigelt, König, & Kreft, ; http://gift.uni-goettingen.de), which to date includes regional plant species lists for 1,636 islands and 993 mainland regions globally. Depending on the plant taxonomic group, GIFT covers between 70 and 100% of the terrestrial surface of the world for native plant species.…”
Section: Methodsmentioning
confidence: 99%
“…We obtained the information about plant diversity, as well as island characteristics (island age and area), from the Global Inventory of Floras and Traits (GIFT). The GIFT database provides information on distributions and floristic status (native, endemic, alien) of plant species based on a wide range of regional floristic databases, floras and checklists (Weigelt, König, & Kreft, 2020). The full list of original literature resources used to obtain species diversity information is available in Appendix 1.…”
Section: Methodsmentioning
confidence: 99%