Data from: Landscape-scale range filling and dispersal limitation of woody plants

<p>This is the data from the article </p> <p>Landscape-scale range filling and dispersal limitation of woody plants (DOI: 10.1111/jbi.14485)</p> <p>Matilda Arnell and Ove Eriksson</p> <p><br></p> <p>RANGE FILLING ESTIMATES</p> <p>We estimated landscape-scale range filling for 64 species, each representing a different genera of woody plants, from two different dispersal systems:vertebrate dispersal and abiotic dispersal (mainly wind dispersed). </p> <p>Landscape-scale range filling was estimated as the proportion realized range within the potential range, at a 1km2 resolution.</p> <p>We estimated potential ranges using species distribution models (SDMs) in continuous suitability scores (Seliger et al. 2020). This method avoids loss of information by not converting the SDM outputs into presence/absence using an arbitrary threshold of suitability. </p> <p>Realized ranges were estimated from presence records, restricting the estimations to areas with high sampling efforts: low ignorance areas (Ruete 2015), in order to increase the likelihood that absences represented true absences.  </p> <p>Regional range filling was estimated for a 5000 pixel subset of the low ignorance areas. The aditional low ignorance pixels and accompanying occurence datat was used when trining the SDMs.</p> <p>Please consult to the original article as well as the R-script "range filling analyses_Arnell_Eriksson_2022.R" for details on regional range filling estimates. </p> <p>LOCATION</p> <p>We estimated regional range filling in the nemoral and boreo-nemoral vegetation zones in Sweden. The species distribution models providing the estimated suatability scores were trained with ocurrence data, climate and land-use data from all of Sweden.</p> <p>PHYLOGENETIC REGRESSION</p> <p>We thested the effect of dispersal system and habitat affinities on landscape-scale range filling using phylogenetic regressions. Phylogenetic information was obtained from Zanne et al. (2014). </p> <p>Please consult the original article as well as the R-script "PGLS models_Arnell_Eriksson_2022.R" for details on regional range filling estimates.  </p> <p>HABITAT AFFINITIES</p> <p>Plant indicator values (Tyler et al. 2021) used to assess the effect of habitat affinities:</p> <p>Light indicator value</p> <p>Moisture indicator value</p> <p><br></p> <p>Please contact Matilda Arnell (matilda.arnell@su.se) for information or collaboration. </p> <p>Please cite also the original article when using these data (DOI: 10.1111/jbi.14485).</p> <p><br></p> <p>REFERENCES</p> <p>Ruete, A. (2015). Displaying bias in sampling effort of data accessed from biodiversity databases using ignorance maps. Biodiversity Data Journal, 3, e5361. https://doi.org/10.3897/BDJ.3.e5361</p> <p>Seliger, B. J., McGill, B. J., Svenning, J., & Gill, J. L. (2020). Widespread underfilling of the potential ranges of North American trees. Journal of Biogeography, 48(2), 359–371. https://doi.org/10.1111/jbi.14001</p> <p>Tyler, T., Herbertsson, L., Olofsson, J., & Olsson, P. A. (2021). Ecological indicator and traits values for Swedish vascular plants. Ecological Indicators, 120, 106923. https://doi.org/10.1016/j.ecolind.2020.106923</p> <p>Zanne, A. E., Tank, D. C., Cornwell, W. K. et al. (2014). Three keys to the radiation of angiosperms into freezing environments. Nature, 506(7486), 89–92. https://doi.org/10.1038/nature12872</p>