Data

Victorian Alpine Plot Network (Alpine Long Term Monitoring - Community Changes): Multi-taxa Phylogenomic Data, 2012–2013

Also known as: Victorian Alpine Plot Network: Multi-taxa Phylogenomic Data Long Term Monitoring - Community Changes, 2012–2013
The Australian National University
Adam Miller (Associated with) Ary Hoffmann (Associated with) Dr John Morgan (Associated with)
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CC-BY

LTERN Deed: 7
Date of execution: 2016-10-10


http://creativecommons.org/licenses/by/4.0/

Creative Commons Licence CC-BY-4_0 is assigned to this data. Details of the licence can be found at http://creativecommons.org.au/licences.

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Please contact the data owner (Nick Bell) directly for the raw data.

Contact Information

Postal Address:
University of Melbourne Bio21 Institute Departments of Genetics and Zoology Melbourne, VIC, 3010 Australia

Street Address:
Ph: +61 3 8344 2282

Street Address:
Ph: +61 2 9585 6051

Street Address:
Ph: +61 3 9479 2226

Street Address:
Ph: +61 3 9479 1230

Street Address:
Ph: +61 428 810 214

belln@unimelb.edu.au
ary@unimelb.edu.au
r.woodward@unsw.edu.au
chwahren@gmail.com
james.camac@gmail.com
j.morgan@latrobe.edu.au

Full description

Abstract: Global change poses significant and urgent challenges for biodiversity conservation. Species persistence under a rapidly changing environment ultimately depends on abilities to disperse to favourable habitats or adapt in situ by plastic or evolutionary mechanisms. Conservation strategies preserving endemism and adaptive potential are critical. This study aims to investigate the phylogeographic history of Victorian Alpine plants using high-density genetic markers. Multi-taxa genomic data was compared to determine common phylogeographic patterns and identify evolutionary processes shaping biodiversity. Spatial patterns of genetic structure were used to delineate evolutionary bioregions and refugia of high conservation value. Life-history traits have seldom been explicitly within a landscape genetic framework. Spatial isolation is a key component of genetic structure for sessile organisms. This study demonstrates that life-history traits are primary drivers of inter-population connectivity and genetic structure. Differences across taxa impacted on patterns of genetic structure on fine spatial scales, while common patterns were observed at broad scales regardless of life-history
traits. These findings complement other Australian Alpine genetic studies indicate that flora and fauna in Victorian Alps share a common genetic structure and phylogeographic history driven by unique processes. The geomorphology of the Victorian Alps has clearly driven the evolutionary trajectories of the native flora and fauna. This approach could inform evidence based conservation policy. Previously undelineated cryptic species were revealed by this study highlighting limitations of traditional taxonomy and the utility of new approaches. This project demonstrates how genomic technologies can characterise evolutionary processes at landscape scales, and detect important patterns in at-risk ecosystems. Sampling method: As per "Materials and Methods" section of the Honours thesis. Study extent: Leaf tissue was collected over the summer 2012-2013, with additional sampling at Mount Stirling and Mount Howitt in October 2013. A summary of the spatial and taxonomic extent of the study can be found in the "Tables" section of the Honours thesis. Project funding: Between 2012 and 2018 this project was part of the Long Term Ecological Research Network (LTERN) supported by the Australian Government’s Terrestrial Ecosystems Research Network (www.tern.org.au) – an Australian research infrastructure facility established under the National Collaborative Research Infrastructure Strategy and Education Infrastructure Fund–Super Science Initiative through the Department of Industry, Innovation, Science, Research and Tertiary Education.

Created: 2018-10-22

Data time period: 2012 to 2013

This dataset is part of a larger collection

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Spatial Coverage And Location

text: Victorian Alpine Summit, South-east Highlands, Victoria, Australia