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Cross-boundary human impacts compromise the Serengeti-Mara ecosystem
No full textThese datafiles are used for the analyses presented in
"Cross-boundary human impacts compromise the Serengeti-Mara ecosystem"
by Veldhuis et al (2019) Science 29 Mar 2019. Vol. 363, Issue 6434,
pp. 1424-1428. DOI: 10.1126/science.aav0564. Each folder contains data on different aspects of the paper and includes a readme files with contact information for further enquiries. Detailed information on the data sources and methods for the analyses can be found in the supplementary material of the paper
Measured facet sizes
No full textFacet sizes measured from volume renderings of bee eyes are original resolution in csv format. The file numbering corresponds to scan numbers These data are required as input for the computational code at: https://github.com/gavinscode/compound-eye-plotting-elife.gi
Data from: Postglacial colonization routes coincide with a life history breakpoint along a latitudinal gradient
No full textWhile adaptive divergence along environmental gradients has repeatedly been demonstrated, the role of postglacial colonization routes in determining phenotypic variation along gradients has received little attention. Here we used a hierarchical QST-FST approach to separate the roles of adaptive and neutral processes in shaping phenotypic variation in moor frog (Rana arvalis) larval life-histories along a 1700 km latitudinal gradient across northern Europe. This species has colonized Scandinavia via two routes with a contact zone in northern Sweden. By using neutral SNP and common garden phenotypic data from 13 populations at two temperatures, we showed that most of the variation along the gradient occurred between the two colonizing lineages. We found little phenotypic divergence within the lineages, however, all phenotypic traits were strongly diverged between the southern and northern colonization routes, with higher growth and development rates and larger body size in the north. The QST estimates between the colonization routes were four times higher than FST, indicating a prominent role for natural selection. QST within the colonization routes did not generally differ from FST, but we found temperature-dependent adaptive divergence close to the contact zone. These results indicate that lineage-specific variation can account for much of the adaptive divergence along a latitudinal gradient
WTPD_Litter_Parentage_Info_Allrev010516
No full textMaternity and candidate paternity for each offspring (grouped by litter) for White-tailed Prairie Dogs
supp
No full textThis compressed file contains all files and script described in the original manuscript
Conti_ShrubAllometricDatabase
No full textDatabase of individual allometric data (stem diameter, height, crown diameter) and aboveground ground biomass of shrub species compiled from existing literature. More details in the Metadata and Readme sheet in the file
Snow bunting winter banding data and associated daily weather variables for each individual capture
No full textSnow bunting winter (Nov 1 to Mar 20) banding data (including age, sex, banding location, body mass, wing chord, fat score and time of capture) merged to associated daily weather data (including mean temperature, minimal temperature, maximal temperature, snow depth, total snowfall, absolute humidity, maximal wing gust and cloud cover (for the period 2009-2015 for 8 locations in eastern Canada. Banding data were obtained from both the Canadian bird banding office and the citizen science project Canadian Snow Bunting Network. Daily weather variables were merged to banding data and were extracted from the following three sources : 1) environment and climate change weather office online, 2) ministère du développement durable de l'environnement et de la lutte contre les changements climatiques et 3) National snow and ice data center. Only individual record for which a complete set of information was available for every individual (i.e. sex, age, wing chord, fat score, body mass, time of capture) and only banding entries with an associated complete set of weather variables were kept in the dataset. Excel was used to calculate weather averaged over the three days preceding capture. R Software (3.2.1) was used to create the datafile and do all other manipulations
AppendicesS1-S8
No full textSupplementary Methods:
Appendix S1. Population sampling.
Appendix S2. DNA isolation and genetic markers.
Appendix S3. Construction of species distribution models.
Appendix S4. Comparison of scenarios using approximate Bayesian computation.
Supplementary Results:
Appendix S5. Environmental factors used in species distribution models.
Appendix S6. Genetic divergence, environment, and spatial structure.
Appendix S7. Phylogeographic scenarios: error rates and parameter estimates.
Appendix S8. Population size changes: standard and compound neutrality tests