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

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

doi:https://doi.org/10.5194/bg-15-2601-2018

Articles | Volume 15, issue 9

https://doi.org/10.5194/bg-15-2601-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-15-2601-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Supplement

https://doi.org/10.5194/bg-15-2601-2018-supplement

Data sets

Ecological and Forest Inventory of Catalonia: Complete Plant Trait Dataset for Imputation Assessment Carlos Gracia, Jordi Vayreda, José Ángel Burriel, Joan Josep Ibàñez, and Teresa Mata https://doi.org/10.5281/zenodo.1209812

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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.