Microsatellite Genotypes: Missing values are coded \"-9\".
\n\nPresence/Absence Data: Missing values are coded \"-\".
\nFunding provided by: Deutsche Forschungsgemeinschaft
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001659
Award Number: STE 1130/7-1
Dispersal is a central process in ecology and evolution with far reaching consequences for the dynamics and genetics of spatially structured populations (SSPs). Individuals can adjust their decisions to disperse according to local fitness prospects, resulting in context-dependent dispersal. By determining dispersal rate, distance, and direction, these individual-level decisions further modulate the demography, relatedness, and genetic structure of SSPs. Here, we examined how context-dependent dispersal influences the dynamics and genetics of a Great Crested Newt (Triturus cristatus) SSP. We collected capture-recapture data of 5564 individuals and genetic data of 950 individuals across a SSP in northern Germany. We added genetic data from six sites outside this SSP to assess genetic structure and gene flow at a regional level. Dispersal rates within the SSP were high but dispersal distances were short. Dispersal was context-dependent: individuals preferentially immigrated into high-quality ponds where breeding probabilities were higher. The studied SSP behaved like a patchy population, where subpopulations at each pond were demographically interdependent. High context-dependent dispersal led to weak but significant spatial genetic structure and relatedness within the SSP. At the regional level, a strong hierarchical genetic structure with very few first-generation migrants as well as low effective dispersal rates suggest the presence of independent demographic units. Overall, our study highlights the importance of habitat quality for driving context-dependent dispersal and therefore demography and genetic structure in SSPs. Limited capacity for long-distance dispersal seems to increase genetic structure within a population and leads to demographic isolation in anthropogenic landscapes.
", "publication_date": "2021-07-30", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "CC0 waives copyright interest in a work you've created and dedicates it to the world-wide public domain. Use CC0 to opt out of copyright entirely and ensure your work has the widest reach." }, "icon": "cc-cc0-icon", "id": "cc0-1.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/publicdomain/zero/1.0/legalcode" }, "title": { "en": "Creative Commons Zero v1.0 Universal" } } ], "title": "Context-dependent dispersal determines relatedness and genetic structure in a patchy amphibian population" }, "parent": { "access": { "owned_by": { "user": "90070" } }, "communities": { "default": "734b6452-1f40-4db0-b218-08ab1d568b7f", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-02-04T14:03:17.992421+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "734b6452-1f40-4db0-b218-08ab1d568b7f", "links": {}, "metadata": { "curation_policy": "The Dryad collection in Zenodo contains datasets mirrored from the Dryad Digital Repository. If you want your dataset to appear here, submit it through https://datadryad.org. No other datasets will be accepted.
", "description": "Dryad is an international open-access repository of research data, especially data underlying scientific and medical publications. Dryad is a curated general-purpose repository that makes data discoverable, freely reusable, and citable.", "organizations": [ { "id": "00x6h5n95" } ], "page": "Dryad is a community-governed open data publishing and curation repository. Through Dryad and Zenodo's partnership, Zenodo hosts a preservation copy of Dryad datasets, available through this Zenodo Community. For more information or to access the original published datasets, visit https://datadryad.org.
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