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sPlot – A new tool for global vegetation analyses

Bruelheide, Helge; Dengler, Jürgen; Jiménez-Alfaro, Borja; Purschke, Oliver; Hennekens, Stephan M.; Chytrý, Milan; Pillar, Valério D.; Jansen, Florian; Kattge, Jens; Sandel, Brody; Aubin, Isabelle; Biurrun, Idoia; Field, Richard; Haider, Sylvia; Jandt, Ute; Lenoir, Jonathan; Peet, Robert K.; Peyre, Gwendolyn; Sabatini, Francesco Maria; Schmidt, Marco; Schrodt, Franziska; Winter, Marten; Aćić, Svetlana; Agrillo, Emiliano; Alvarez, Miguel; Ambarli, Didem; Angelini, Pierangela; Apostolova, Iva; Afrin Khan, Mohammed A. S.; Arnst, Elise; Attorre, Fabio; Baraloto, Christopher; Beckmann, Michael; Berg, Christian; Bergeron, Yves; Bergmeier, Erwin; Bjorkmann, Anne D.; Bondareva, Viktoria; Borchardt, Peter; Dukát-Botta, Zoltán; Boyle, Brad; Breen, Amy; Brisse, Henry; Byun, Chaeho; Cabido, Marcelo R.; Casella, Laura; Cayuela, Luis; Černý, Tomáš; Chepinoga, Victor; Csiky, János; Curran, Michael and et al., , (2019) sPlot – A new tool for global vegetation analyses. Journal of Vegetation Science, 30 (2), pp. 161-186.

[thumbnail of Bruelheide-etal-2019-JournalVegetationScience_Vol30_Issue2_p161-186.pdf] PDF - English
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Document available online at: https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710


Summary in the original language of the document

Aims
Vegetation‐plot records provide information on the presence and cover or abundance of plants co‐occurring in the same community. Vegetation‐plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level.
Results
sPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected worldwide between 1885 and 2015. We complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g., biomes) from external sources, and by calculating community‐weighted means and variances of traits using gap‐filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. We present the first maps of global patterns of community richness and community‐weighted means of key traits.
Conclusions
The availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.


EPrint Type:Journal paper
Keywords:biodiversity, community ecology, ecoinformatics, functional diversity, global scale, macroecology, phylogenetic diversity, plot database, sPlot, taxonomic diversity, vascular plant, vegetation relevé
Agrovoc keywords:
Language
Value
URI
English
biodiversity
http://aims.fao.org/aos/agrovoc/c_33949
English
UNSPECIFIED
UNSPECIFIED
Subjects: Crop husbandry
Knowledge management > Research methodology and philosophy
Research affiliation: Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Society > Rural sociology
Switzerland > FiBL - Research Institute of Organic Agriculture Switzerland > Sustainability
DOI:10.1111/jvs.12710
Deposited By: Curran, Dr. Michael
ID Code:37318
Deposited On:24 Feb 2020 12:17
Last Modified:15 Mar 2022 09:56
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

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