Articles | Volume 15, issue 9
https://doi.org/10.5194/bg-15-2601-2018
https://doi.org/10.5194/bg-15-2601-2018
Research article
 | 
04 May 2018
Research article |  | 04 May 2018

Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information

Rafael Poyatos, Oliver Sus, Llorenç Badiella, Maurizio Mencuccini, and Jordi Martínez-Vilalta

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Cited articles

Azur, M. J., Stuart, E. A., Frangakis, C., and Leaf, P. J.: Multiple imputation by chained equations: what is it and how does it work?, Int. J. Meth. Psych. Res., 20, 40–49, https://doi.org/10.1002/mpr.329, 2011. 
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Blonder, B.: Do hypervolumes have holes?, Am. Nat., 187, E93–E105, https://doi.org/10.1086/685444, 2016. 
Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G., and Zanne, A. E.: Towards a worldwide wood economics spectrum, Ecol. Lett., 12, 351–366, https://doi.org/10.1111/j.1461-0248.2009.01285.x, 2009. 
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Plant traits are characteristics of plants that are easy to measure and that show how plants function. Values of these traits for many species and locations worldwide are available in trait databases, but these are often incomplete. Here we use different statistical methods to fill the gaps in a trait database of Mediterranean and temperate tree species. Combining traits and environmental information provides more plausible gap-filled databases and preserves the observed trait variability.
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