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Nanangroe Plantation Plot Network: Herpetofauna Survey, Southwest Slopes, NSW, Australia, 2015 

Ver: 15
Status of Data: Data not provided
Update Frequency: Data not provided
Security Classification: unclassified
Record Last Modified: 2016-05-07
Viewed 89 times
Accessed 0 times
Dataset Created: Date not provided
Dataset Published: 2016-05-07
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPhtml
How to cite this collection:
Lindenmayer, D. (2016). Nanangroe Plantation Plot Network: Herpetofauna Survey, Southwest Slopes, NSW, Australia, 2015. Version 15. Long Term Ecological Research Network. Dataset. https://portal.tern.org.au/metadata/6bc3ebb8-d1ac-54eb-a1cc-cf1dd5d0b21d 
Herpetofauna is surveyed every two years using artificial substrates and active search methods. Artificial substrates comprise eight standard roofing tiles, eight half-size (cut-off) railway sleepers and four sheets of corrugated iron per site. A set of two sheets of corrugated iron placed on top of one another, four half-size railways sleepers and four roofing tiles are placed around a point at the 0 m and 100 m point of the permanent 200 m transect. These artificial substrates are gently turned over to record occupants with some of the animals hand-captured to identify the species, substrates are replaced and then the animals put carefully back underneath the substrates. Active searching is done by gently turning over any rocks, logs or fallen bark at locations along a 200 m transect for 20 minites. Several measurements including sex, age and tail condition are recorded where possible. Sightings of exotic species (e.g. rats) are also recorded. The principle objective of the Nanangroe study is to directly quantify changes in woodland vertebrate assemblages and their relationships with habitat variables when the surrounding landscape matrix is converted from a semi-cleared grazing landscape to a landscape dominated by an exotic softwood plantation (Lindenmayer, DB, Cunningham, RB, MacGregor, C, Tribolet, C & Donnelly, CF 2001, ‘A prospective longitudinal study of landscape matrix effects on fauna in woodland remnants: experimental design and baseline data’, Biological Conservation, vol 101 no 2, p. 160). The study area is located in the Southwest slopes of NSW west of Lake Burrinjuck and includes four exotic Pine Plantations (Nanangroe, Cotway, East Bungongo and Bungongo), as well as private properties adjacent those plantations. Repeated sampling of the vegetation structure and cover and selected vertebrate groups on all sites from 1998 has created a long term dataset. A synopsis of related data packages which have been collected as part of the Nanangroe Plantation Forest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/nanangroe-plantation 
Credit
Data not provided. 
Purpose
Data not provided. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
The Nanangroe Plantation Plot Network is located in the southwest slopes of NSW west of Lake Burrinjuck and includes four exotic Pine Plantations (Nanangroe, Cotway, East Bungongo and Bungongo), as well as private properties adjacent those plantations.
Temporal Coverage
From 2015-01-01 to 2015-01-01 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Climate change impacts and adaptation
Ecology
GCMD Sciences
BIOLOGICAL CLASSIFICATION - LIZARDS/SNAKES
User Defined
Artificial substrates
Fragmentation
Grazing domestic livestock
Herpetofauna
Author
Lindenmayer, David
Collaborator
Okada, Sachiko
Publisher
Australian National University
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Terrestrial Ecosystem Research Network
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Co-authorship with the data provider (Professor David Lindenmayer) of any publication of research utilising this data is an expected outcome. The data provider requests consultation, including a summary of the proposed research and intended use before publication of research utilising this data is possible. 

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