Data from: A macroecological analysis of ecological uniqueness of freshwater macrophyte assemblages across Europe and North America
Data files
Oct 03, 2024 version files 2.28 MB
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Luukkonen_etal_JEcol-2024-0340_Data.xls
2.27 MB
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README.md
3.25 KB
Abstract
Understanding spatial variation of species composition at different scales is essential for efficient conservation planning. Here, we investigate ecological uniqueness patterns of freshwater macrophyte assemblages at continental extents. We explored the similarities and differences in the patterns of ecological uniqueness between Europe and North America in relation to species richness and environmental variables using macrophyte presence-absence data in 50 × 50 km grid cells. To describe the ecological uniqueness of macrophyte assemblages, we used an index called ‘local contribution to beta diversity’ (LCBD). First, we used linear regression to evaluate the relationship between ecological uniqueness and species richness. Second, variation of ecological uniqueness was modelled using environmental variables in generalized additive modelling (GAM). Third, boosted regression tree (BRT) analysis was performed with the same environmental variables to compare BRT results with the results from GAM. The results revealed relatively similar patterns of ecological uniqueness in both continents. The relationship between species richness and ecological uniqueness was overall negative but showed differences in the form and degree of the relationship between Europe and North America. The main driver of ecological uniqueness in both continents was mean annual temperature, with further effects associated with annual precipitation, elevation range, alkalinity, and the proportion of freshwaters in a grid cell.
Synthesis. Our results showed that species richness and ecological uniqueness may be negatively correlated at large spatial extents, and that the form of the relationship is likely to depend on the species richness profile of the area. The significant influence of climate on the ecological uniqueness of macrophyte assemblages suggests that changes in climate and land use may shape unique macrophyte assemblages. Thus, conservation strategies should consider protection measures especially in the northern areas with unique macrophyte species assemblages, as they are expected to face many changes in the future. Identifying areas with high ecological uniqueness at different scales is important for efficient implementation of biodiversity conservation practices.
https://doi.org/10.5061/dryad.2rbnzs7zb
Description of the data and file structure
Files and variables:
File: Luukkonen_etal_JEcol-2024-0340_Data.xls
Variables
grid_code: grid cell code to which response and environmental variables have been calculated
S: species richness
X: longitude
Y: latitude
alkalinity: mean water alkalinity concentration at 50 km resolution (mequiv. l-1, Marcé et al., 2015)
elev_mean: mean elevation at 1 km resolution (m above sea level, Hijmans et al., 2005)
elev_range: elevation range at 1 km resolution (m, Hijmans et al., 2005)
water: proportion of freshwaters at 150 m resolution (presence/absence, Lamarche et al., 2017)
crop: proportion of cropland at 1 km resolution (%, Latham et al. 2014)
urban: proportion of urban areas at 1 km resolution (%, Latham et al. 2014)
bio1_mean: mean annual air temperature (°C) (Karger et al., 2017)
bio7_mean: range in annual mean temperature (°C) (Karger et al., 2017)
bio12_mean: annual precipitation (mm) (Karger et al., 2017)
velocity_mean: mean velocity of temperature change (Sandel et al., 2011)
LCBD: local contribution to beta diversity
Projected coordinate system for X & Y:
Europe: Europe_Lambert_Conformal_Conic
North America: North_America_Lambert_Conformal_Conic
References:
Marcé, R., Obrador, B., Josep-Anton Morguí, López, J. L. R. P., & Joan, A. (2015). Carbonate weathering as a driver of CO 2 supersaturation in lakes. Nature Geoscience, 8, 107–111.
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005). Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15), 1965–1978. doi:10.1002/joc.1276
Lamarche, C., Santoro, M., Bontemps, S., Andrimont, R., Radoux, J., Giustarini, L., … Arino, O. 2017. Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland / Ocean Water Tailored to the Climate Modeling Community. Remote Sensing, 9(1), 36. doi:10.3390/rs9010036
Latham, J., Cumani, R., Rosati, I. & Bloise, M. (2014). FAO global land cover (GLC-SHARE) beta-release 1.0 database, Land and Water Division. Available at: http://www.glcn.org/databases/lc_glcshare_en.jsp.
Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W.,...& Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data 4 170122. https://doi.org/10.1038/sdata.2017.122
Sandel, B., Arge, L., Davies, R. G., Gaston, K. J., Sutherland, W. J. Dalsgaard, B., & Svenning, J.-C. (2011). Data from: The influence of Late Quaternary climate-change velocity on species endemism, Dryad. https://doi.org/10.5061/dryad.b13j1
Data was derived from the following sources:
- Flora Europeae and Flora of North America
