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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 May 2018
Research article |
| 04 May 2018
| 04 May 2018
Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information
CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
Laboratory of Plant Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000 Gent, Belgium
Oliver Sus
EUMETSAT, Eumetsat Allee 1, 64295 Darmstad, Germany
Llorenç Badiella
Servei d'Estadística Aplicada, Universitat Autònoma de Barcelona, Cerdanyola del Vallès 08193, Barcelona, Spain
Maurizio Mencuccini
CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
ICREA, Barcelona, Spain
Jordi Martínez-Vilalta
CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
Universitat Autònoma de Barcelona, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
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Cited
16 citations as recorded by crossref.
- Handling missing values in trait data T. Johnson et al. 10.1111/geb.13185
- Genome-wide associations within diverse wild apple germplasm for postharvest blue mold resistance to Penicillium expansum L. Whitt et al. 10.1016/j.postharvbio.2025.113513
- Mapping multi-dimensional variability in water stress strategies across temperate forests D. Liu et al. 10.1038/s41467-024-53160-1
- A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics Z. Tang et al. 10.1016/j.jag.2021.102319
- CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide K. Komatsu et al. 10.1038/s41597-024-03637-x
- Unforeseen plant phenotypic diversity in a dry and grazed world N. Gross et al. 10.1038/s41586-024-07731-3
- The dynamic adaptive landscape of cetacean body size G. Burin et al. 10.1016/j.cub.2023.03.014
- Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns A. Paz et al. 10.1111/geb.13877
- DIMA: Data-Driven Selection of an Imputation Algorithm J. Egert et al. 10.1021/acs.jproteome.1c00119
- Inter-comparison on the Suitability of Rain-Based Meteorological Drought in Johor River Basin, Malaysia Z. Sa'adi et al. 10.1007/s12205-022-1481-7
- A real data-driven simulation strategy to select an imputation method for mixed-type trait data J. May et al. 10.1371/journal.pcbi.1010154
- Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia Z. Sa’adi et al. 10.1007/s11069-023-05930-1
- Global patterns of tree wood density H. Yang et al. 10.1111/gcb.17224
- A framework to study and predict functional trait syndromes using phylogenetic and environmental data P. Sanchez‐Martinez et al. 10.1111/2041-210X.14304
- Dispersal, glacial refugia and temperature shape biogeographical patterns in European freshwater biodiversity D. Cortés‐Guzmán et al. 10.1111/geb.13886
- Imputation of Missing PM2.5 Observations in a Network of Air Quality Monitoring Stations by a New kNN Method I. Belachsen & D. Broday 10.3390/atmos13111934
16 citations as recorded by crossref.
- Handling missing values in trait data T. Johnson et al. 10.1111/geb.13185
- Genome-wide associations within diverse wild apple germplasm for postharvest blue mold resistance to Penicillium expansum L. Whitt et al. 10.1016/j.postharvbio.2025.113513
- Mapping multi-dimensional variability in water stress strategies across temperate forests D. Liu et al. 10.1038/s41467-024-53160-1
- A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics Z. Tang et al. 10.1016/j.jag.2021.102319
- CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland species worldwide K. Komatsu et al. 10.1038/s41597-024-03637-x
- Unforeseen plant phenotypic diversity in a dry and grazed world N. Gross et al. 10.1038/s41586-024-07731-3
- The dynamic adaptive landscape of cetacean body size G. Burin et al. 10.1016/j.cub.2023.03.014
- Functional and phylogenetic dimensions of tree biodiversity reveal unique geographic patterns A. Paz et al. 10.1111/geb.13877
- DIMA: Data-Driven Selection of an Imputation Algorithm J. Egert et al. 10.1021/acs.jproteome.1c00119
- Inter-comparison on the Suitability of Rain-Based Meteorological Drought in Johor River Basin, Malaysia Z. Sa'adi et al. 10.1007/s12205-022-1481-7
- A real data-driven simulation strategy to select an imputation method for mixed-type trait data J. May et al. 10.1371/journal.pcbi.1010154
- Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia Z. Sa’adi et al. 10.1007/s11069-023-05930-1
- Global patterns of tree wood density H. Yang et al. 10.1111/gcb.17224
- A framework to study and predict functional trait syndromes using phylogenetic and environmental data P. Sanchez‐Martinez et al. 10.1111/2041-210X.14304
- Dispersal, glacial refugia and temperature shape biogeographical patterns in European freshwater biodiversity D. Cortés‐Guzmán et al. 10.1111/geb.13886
- Imputation of Missing PM2.5 Observations in a Network of Air Quality Monitoring Stations by a New kNN Method I. Belachsen & D. Broday 10.3390/atmos13111934
Latest update: 29 May 2025
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.
Plant traits are characteristics of plants that are easy to measure and that show how plants...
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