Data, script, full methods and full results for: Rising temperature modulates pH niches of fen species
Creators
- Michal Hájek1
- Jakub Těšitel1
- Teemu Tahvanainen2
- Tomáš Peterka1
- Borja Jiménez-Alfaro3
- Florian Jansen4
- Aaron Pérez-Haase5
- Emmanuel Garbolino6
- Michele Carbognani7
- Tiina H. M. Kolari2
- Petra Hájková1
- Ute Jandt8
- Liene Aunina9
- Paweł Pawlikowski10
- Tatiana Ivchenko11
- Marcello Tomaselli7
- Lubomír Tichý1
- Daniel Dítě12
- Zuzana Plesková1
- Eva Mikulášková1
- 1. Department of Botany and Zoology, Faculty of Science, Masaryk University
- 2. Department of Environmental and Biological Sciences, University of Eastern Finland
- 3. Research Unit of Biodiversity (CSIC/UO/PA), University of Oviedo
- 4. Faculty of Agricultural and Environmental Sciences, Rostock University
- 5. Faculty of Biosciences, University of Vic-Central University of Catalonia
- 6. Climpact Data Science, Nova Sophia - Regus Nova
- 7. Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma
- 8. Geobotany & Botanical Garden, Martin Luther University Halle-Wittenberg
- 9. Laboratory of Geobotany, Institute of Biology of the University of Latvia
- 10. Department of Ecology and Environmental Conservation
- 11. Laboratory of General Geobotany, Komarov Botanical Institute RAS
- 12. Plant Science and Biodiversity Center, Slovak Academy of Sciences
Description
This package presents data, script, full methods and full results for the paper entitled Rising temperature modulates pH niches of fen species (under review). The aim of the paper is to model water level, temperature and pH niches at the European scale for 100 fen specialised taxa the best characterising European fens. We explicitly tested the hypothesis that macroclimate temperature modulates pH niches of the fen species, making calcicole species the most endangered. The data are presented as working data sheet, i.e., the presence-absence data for 100 tested species in 29,885 plots (the number after the heterogeneity-constrained resampling), supplemented by environmenal variables (GDD5, Minimum temperature of the coldest month, adjusted pH, indication of water table depth). The methods of data preparation, including selection of vegetation-plot data from European Vegetation Archive are described in a separate file. The list of used vegetation-plot databases, their GIVD codes and names of custodians are in separate table (Table 1: Data sources). We further present the R script used for data analysis and detailed results of niche modelling for all tested species.These full results are presented as contour plots representing GAM models of all fen species in relation to pH and climate temperature, with indicated number of samples and occurrence probabilities for individual cells defined as a part of pH temperature gradients. Adjusted r2 and pH ⨯ temperature interaction coefficients are presented. In addition, the GAMs of occurrence probabilities with respect to water table depths estimated by indicator values are presented for all individual fen species. The sheet showing descriptive statistics for individual taxa and the entire results of the Generalised Additive Models is uploaded as Supplementary_Table_1_CSV.
Notes
Files
Methods_of_dataset_preparation.pdf
Files
(25.3 MB)
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Additional details
References
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