From Terrestrial Ecosystem Research Network
JSON RDF ISO19115-3 XML

TERN Australian Transect Network, Biodiversity and Adaptation Transect Sydney (BATS) - Vegetation and trait data (2011 - 2015)

ARCHIVED

Created 21/01/2025

Updated 21/01/2025

JSON RDF ISO19115-3 XML

The TERN Australian Transect Network, Biodiversity and Adaptation Transect Sydney (BATS) uses a landscape-level approach to investigate taxonomic, functional and genetic turn-over along temperature and rainfall gradients traversing nutrient-poor soils in the Sydney region. Specimens (for identification and DNA analyses), abundance estimates, measures of functional diversity, and measures of fungal diversity are being gathered across 35, 50x50 meter plots (9 form part of the AusPlots network). The data is used to assess community diversity and turnover along the environmental gradients. BATS includes a range of subprojects, such as investigations of genomic turnover within selected species.

Files and APIs

Tags

Additional Info

Field Value
Title TERN Australian Transect Network, Biodiversity and Adaptation Transect Sydney (BATS) - Vegetation and trait data (2011 - 2015)
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/a2f571e2-a1ed-4846-bbb0-f9747c3138ef
Contact Point
Environment Protection Authority (EPA) Victoria
esupport@tern.org.au
Reference Period 08/09/2011 - 19/10/2016
Geospatial Coverage {"type": "Polygon", "coordinates": [[[150.05344, -34.13574], [151.28337, -34.13574], [151.28337, -33.07954], [150.05344, -33.07954], [150.05344, -34.13574]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "TERN Australian Transect Network, Biodiversity and Adaptation Transect Sydney (BATS) - Vegetation and trait data (2011 - 2015)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/tern-australian-transect-network-biodiversity-and-adaptation-transect-sydney-bats-veg-2011-2015

Original dataset
Dataset copies

No duplicate datasets found.