Brief description
The dataset comprises vegetation cover and shrub occurrence along a point intercept survey in two 1 ha plots at the Great Western Woodlands site between 2013 - 2015Lineage
Point Intercept transect floristics survey:Point intercept transect survey undertaken using the standard TERN AusPlots method using 1000 line intercepts (5 north-south and 5 east-west transects with one point per m).
Shrub survey:
All shrubs with mature heights >0.5 m were included. This mainly excluded small chenopods and Ptilotus obovatus. Shrubs were measured in a total of 10 strips (10m x 100m) to cover the whole 1 ha plot. There were clear age classes present for Eremophila and Maireana. Total number of species at different height classes per hectare are presented. For a more detailed explanation of the methodology, please see the attached: White A., Sparrow B., Leitch E., Foulkes J., Flitton R., Lowe A.J. and Caddy-Retalic S. (2012) Ausplots Rangelands Survey Protocols Manual. The University of Adelaide Press. ISBN 978-1-922064-38-7.
Notes
CreditWe at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Created: 2013-04-01
Issued: 2023-06-13
Modified: 2024-05-12
Data time period: 2013-04-01 to 2015-09-17
text: The Great Western Woodlands site was established in 2012 on Credo Station, 110 km NNW of Kalgoorlie, WA.
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Point-of-truth metadata URL
White A., Sparrow B., Leitch E., Foulkes J., Flitton R., Lowe A.J. and Caddy-Retalic S. (2012) Ausplots Rangelands Survey Protocols Manual. The University of Adelaide Press. ISBN 978-1-922064-38-7
uri :
https://www.tern.org.au/wp-content/uploads/TERN-Rangelands-Survey-Protocols-Manual_web.pdf
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/3f25f64b-9b66-45c7-83d2-396e48d8bd10
- global : 3f25f64b-9b66-45c7-83d2-396e48d8bd10