Published October 12, 2021
| Version European_bird_dispersal_v1.0.3
Dataset
Open
European_bird_dispersal: v1.0.3-Edispersal
Authors/Creators
- 1. Potsdam University
- 2. Department of Ecology, University of Innsbruck, A-6020 Innsbruck, Austria
- 3. Max Planck Institute of Animal Behavior, D-78315 Radolfzell, and University of Konstanz, Dept. of Biology
- 4. British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU, U.K
- 5. Center for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark
Contributors
Project leader:
Project member (4):
Supervisor:
- 1. Potsdam University
Description
Standardised empirical dispersal kernels emphasise the pervasiveness of long-distance dispersal in European birds
ABSTRACT:
- Dispersal is a key life-history trait for most species and is essential to ensure connectivity and gene flow between populations and facilitate population viability in variable environments. Despite the increasing importance of range shifts due to global change, dispersal has proved difficult to quantify, limiting empirical understanding of this phenotypic trait and wider synthesis.
- Here we introduce a statistical framework to estimate standardised dispersal kernels from biased data. Based on this, we compare empirical dispersal kernels for European breeding birds considering age (average dispersal; natal, before first breeding; and breeding dispersal, between subsequent breeding attempts) and sex (females and males) and test whether different dispersal properties are phylogenetically conserved.
- We standardised and analysed data from an extensive volunteer-based bird ring-recoveries database in Europe (EURING) by accounting for biases related to different censoring thresholds in reporting between countries and to migratory movements. Then, we fitted four widely used probability density functions in a Bayesian framework to compare and provide the best statistical descriptions of the different age and sex-specific dispersal kernels for each bird species.
- The dispersal movements of the 234 European bird species analysed were statistically best explained by heavy-tailed kernels, meaning that while most individuals disperse over short distances, long-distance dispersal is a prevalent phenomenon in almost all bird species. The phylogenetic signal in both median and long dispersal distances estimated from the best-fitted kernel was low (Pagel’s λ < 0.25), while it reached high values (Pagel’s λ >0.7) when comparing dispersal distance estimates for fat-tailed dispersal kernels. As expected in birds, natal dispersal was on average 5 km greater than breeding dispersal, but sex-biased dispersal was not detected.
- Our robust analytical framework allows sound use of widely available mark-recapture data in standardised dispersal estimates. We found strong evidence that long-distance dispersal is common among European breeding bird species and across life stages. The dispersal estimates offer a first guide to selecting appropriate dispersal kernels in range expansion studies and provide new avenues to improve our understanding of the mechanisms and rules underlying dispersal events.
Content
- The workflow for estimating dispersal kernels from ring-recovery data for all of Europe
- The code to develop the dispersal kernels with ring-recovery data.
- Dispersal distances for European birds: Table_S14_ species_dispersal_distances_v1_0_2.csv
- Dispersal kernel parameters for European birds: Table_S13_species_dispersal_parameters_v1_0_2.csv
Files
European_bird_dispersal-main_v1_0_2.zip
Additional details
Related works
- Is supplement to
- https://github.com/guifandos/European_bird_dispersal/tree/v0.1.0_Edispersal (URL)