Articles | Volume 15, issue 9
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (16 Mar 2018) by Kirsten Thonicke
AR by Rafael Poyatos López on behalf of the Authors (30 Mar 2018)  Author's response    Manuscript
ED: Publish as is (12 Apr 2018) by Kirsten Thonicke
Short summary
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.
Final-revised paper