Predicting the occurrence of an endangered reptile based on habitat attributes
Sarsha Gorissen A D , Ian R. C. Baird B , Matthew Greenlees A , Ahamad N. Sherieff C and Richard Shine AA School of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia.
B School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.
C New South Wales Office of Environment and Heritage, Sydney, NSW 1232, Australia.
D Corresponding author. Email: sgorissen@uni.sydney.edu.au
Pacific Conservation Biology 24(1) 12-24 https://doi.org/10.1071/PC17027
Submitted: 10 August 2017 Accepted: 6 November 2017 Published: 21 December 2017
Abstract
The endangered Blue Mountains water skink (Eulamprus leuraensis), a habitat specialist known from approximately 60 threatened highland peat swamps, is the sole endemic vertebrate of the Blue Mountains region, Australia. We quantified the species’ habitat associations by surveying 10 such swamps annually for three years. We scored habitat features and trapped skinks, comparing habitat attributes of trap sites where skinks were and were not captured. The distribution of E. leuraensis was non-random: skinks were found at sites with high values for some variables (soil moisture, live vegetation, surface water, understorey density and numbers of burrows) and low values for others (dead vegetation, logs, rocks, bare ground, canopy cover, sunlight penetration and numbers of invertebrates), and were mostly found in sites that were close to surface water and far from trees and logs. Eulamprus leuraensis is widely distributed within swamps, with weak associations between microhabitat variation and skink presence. Skink abundance and mean body size were highest within swamp centres, decreasing towards the margins; larger skinks were found closer to water, gravid female skinks were found at wetter sites and juveniles occupied marginal habitat. Skinks were rarely recaptured >10 m from their original site, with adult males travelling further than adult females and juveniles. We developed a quick field detection method for managers to assess the likely presence of E. leuraensis using two habitat attributes (soil moisture and burrow abundance). We mapped the species’ known and predicted habitat using GIS spatial layers, including locality records, associated vegetation communities and digital elevation models.
Additional keywords: conservation, field biology, freshwater ecosystems, habitat selection, herpetofauna, lizards, threatened species, wildlife management
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