Datensatz

Alpine Islands: Population genomic inference reveals high degree of isolation between freshwater spring habitats

Diversity and Distributions,115. DOI: 10.1111/ddi.13461 We observed strong genetic differentiation between individuals from different springs. Water mites from each spring qualified as well-delimited distinct populations with only little intra-spring migration, even when these were located in close geographic proximity. Furthermore, we found subtle shared genetic structure among springs within the same area, and a southwestern genotype associated with the Rhône catchment that extended into eastern populations. Effective population size estimates and standing genetic variation within springs were generally low. Main conclusions: Our findings indicate strong insularity of freshwater springs and headwater areas, likely caused by intra-alpine Pleistocene isolation and limited dispersal abilities of strictly spring-bound species like P. steinmanni. Our results support the concept of spring habitat isolation and highlight the importance of alpine protected areas to conserve springs as substantial components of freshwater biodiversity.

Info Ressourcen Applications

Publisher
Nationalparks Austria
Category
Umwelt
Tags
Binnengewässer Nationalparks Austria Naturschutz OpenDocument Schutzgebiet
API Link to Metadata
/api/3/action/package_show?id=82BD0CE2-AAFE-5206-4A79-8C961749FFEC
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Metadata Modified
November 7, 2022, 15:09 (MEZ)

Übersetzen nach

Verantwortlicher	NP Gesaeuse
Maintainer Link	http://www.parcs.at/npg/contact.php
Publisher	Nationalparks Austria
Metadata Link	http://www.parcs.at/npg/mmd_fullentry.php?docu_id=49972
Beginning Date/Time	Januar 1, 2020, 01:00 (MEZ)
ID	82BD0CE2-AAFE-5206-4A79-8C961749FFEC
Human readable URL	https://www.data.gv.at/katalog/de/dataset/alpine-islands-population-genomic-inference-reveals-high-degree-of-isolation-between-freshwater

Alpine Islands: Population genomic inference reveals high degree of isolation between freshwater spring habitats Herunterladen

Details

Feld	Wert
Metadaten zuletzt aktualisiert	7. November 2022
Data Format	PDF
Data Identifier	d98e7c10-c179-48ea-9b4d-e6590653d462
Metadata Identifier	82BD0CE2-AAFE-5206-4A79-8C961749FFEC
Data URL	http://doi.org/10.1111/ddi.13461

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