Appendix A. Covariate measures at the landscape, farm, and site levels used in detailed statistical analyses of arboreal marsupial and reptile responses to remnant woodland areas and revegetation.

Covariate measures at the landscape, farm, and site levels used in detailed statistical analyses of arboreal marsupial and reptile responses to remnant woodland areas and revegetation

Relationships between the probability of absence, conditional abundance, and unconditional abundance of reptiles in relation to search method, time, and the interaction of time and growth type.

We derived predictions from the best-fit model (Table 3).</p

Model comparisons between the two models testing the linear and interactive effects of time and growth type.

Bolded lines indicate best-fit model, as determined by lowest LOOIC score [41, 42].</p

Summary of detections of reptiles by year (Nomenclature follows Wilson and Swan 2020 [44]).

Summary of detections of reptiles by year (Nomenclature follows Wilson and Swan 2020 [44]).</p

Biplot of the first two canonical axes showing species and growth types.

<p>Distances between species approximate the chi-squared distance between species distributions (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0034527#pone.0034527-Lep1" target="_blank">[59]</a> for details of the approach used in data analyses).</p

The South-west Slopes study region of southern New South Wales, south-eastern Australia.

<p>The South-west Slopes study region of southern New South Wales, south-eastern Australia.</p

Summary of the number of detections of reptiles by sampling technique.

Percentages in parentheses represent the percentage of searches with a detection of that species (Taxonomic nomenclature follows Wilson and Swan 2020 [44]).</p

Fig 1 -

(Above) Location of the study area and long-term field sites in the South West Slopes (SWS) bioregion of south-eastern Australia. (Below) Photo images show the four key broad types of vegetation that were examined in this study.</p

Relationships between the probability of absence, and conditional and unconditional species richness of reptiles in relation to search method, time, and growth type.

We derived predictions from the best-fit model (Table 3).</p

Correspondence analysis biplots of bird species and growth type.

<p>The diagrams are: (left) first versus third dimensions from correspondence analysis and (right) second and third dimensions from correspondence analysis. Distances between species approximate the chi-squared distance between species distributions (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0034527#pone.0034527-Lep1" target="_blank">[59]</a> for details of the approach used in data analyses).</p