Published November 20, 2018 | Version v1
Dataset Open

The effectiveness of freshwater connectivity as a predictor of species distribution

Creators

  • 1. Department of Natural History, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
  • 2. Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
  • 3. Norwegian Institute for Nature Research, P.O. Box 5685 Sluppen, NO-7485 Trondheim, Norway
  • 4. Department of Mathematical Sciences, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
  • 5. Department of Arctic and Marine Biology, Faculty of Biosciences, Fisheries and Economics, UiT The Arctic University of Norway, Tromsø, Norway

Description

The attached dataset contains three dataframes used in the affiliated papers.

1) DirectSlopeData.rda - Recolonisation success of two species, northern pike and European perch, in rotenone-treated lakes in Sweden, alongside connectivity parameters for the associated lakes.

2) HPD.rda - Credible intervals for the beta estimates generated by the BORAL model in 3.

3) Presence/absence data for seven species in lakes throughout the Kautokeino catchment in Northern Norway, alongside selected environmental covariates for associated lakes.

Files

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Additional details

Funding

BIODIVERSA2 – Cooperation and shared strategies for biodiversity research programmes in Europe 266546
European Commission

References

  • Hui, F. K. C. (2016) boral: Bayesian Ordination and Regression Analysis of Multivariate Abundance Data in R. Methods in Ecology and Evolution, 7(6), 744-750.
  • Gelman, A., Carlin, J.B., Stern, H.S., & Rubin, D.B. (2004) Bayesian Data Analysis (2nd ed.). Boca Raton, FL: CRC Press.