Genotypes

Genotype data in Genalex format (http://biology-assets.anu.edu.au/GenAlEx/Welcome.html)

Site-level abundance data

Abundance data at site leve

Trap_level_trapping_data

Capture data at trap level for binomial modelling of capture pattern

Lindenmayer salvage logging birds

Data from an 8-year study of bird responses across a spectrum of disturbance types in Australian Mountain Ash (Eucalyptus regnans) forests following wildfires in 2009. We extracted data for 88 plots from three studies within the Victorian Tall Eucalypt Forest Plot Network. The plots had varying degrees of disturbance in terms of fire and logging. We established three survey points in each plot and recorded bird species present at each survey point over the period 2009 to 2016 on one or more occasions

Demographic trends.

<p>The number of mountain brushtail possums captured at the Cambarville study site before and after the February 2009 Black Saturday wildfires. The timing of the15 trapping sessions over this period are indicated with a “+” sign.</p

Data indicating tree collapse over an 18 year period

Data for 737 trees showing their form in 1997 and again in 2015, along with landscape level covariates. Euclidean Nearest Neighbour Distance, and Interspersion & Juxtaposition Index metrics are derived from FragStats

Stages of hollow formation, death and decay of mountain ash trees (<i>Eucalyptus regnans</i>).

<p>The trees surveyed in this study were characterised according to five tree form (TF) categories pictured from left to right: TF1: live trees with no visible hollows (typically young trees); TF2: live trees with visible hollows (typically older, senescing trees); TF3: dead trees in the early stages of decay; TF4; dead trees in the mid-stages of decay; and TF5: highly decayed dead trees. Live trees do not begin to form hollows suitable for arboreal marsupials until they reach an age of at least 120 years.</p

Pre and post-fire shifts in the tree forms used as shelter by mountain brushtail possums.

<p>These graphs show the predicted probabilities (and 95% confidence intervals) of an occupied tree being of a form greater than Tree Form 2 (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022952#pone-0022952-g006" target="_blank">Figure 6a</a>), greater than Tree Form 3 (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022952#pone-0022952-g006" target="_blank">Figure 6b</a>) or greater than Tree Form 4 (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022952#pone-0022952-g006" target="_blank">Figure 6c</a>) before and after the fire unburnt and unburnt habitat. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022952#pone-0022952-g001" target="_blank">Figure 1</a> for details of Tree Form (TF) categories. These predictions were from generalised linear mixed models of the types of trees used by individuals radiotracked before and after the fires. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022952#pone-0022952-t001" target="_blank">Table 1</a> for fitted model statistics.</p

Radiotracking_records

Radiotracking_record

Empirical relationships between tree fall and landscape-level amounts of logging and fire

<div><p>Large old trees are critically important keystone structures in forest ecosystems globally. Populations of these trees are also in rapid decline in many forest ecosystems, making it important to quantify the factors that influence their dynamics at different spatial scales. Large old trees often occur in forest landscapes also subject to fire and logging. However, the effects on the risk of collapse of large old trees of the amount of logging and fire in the surrounding landscape are not well understood. Using an 18-year study in the Mountain Ash (<i>Eucalyptus regnans</i>) forests of the Central Highlands of Victoria, we quantify relationships between the probability of collapse of large old hollow-bearing trees at a site and the amount of logging and the amount of fire in the surrounding landscape. We found the probability of collapse increased with an increasing amount of logged forest in the surrounding landscape. It also increased with a greater amount of burned area in the surrounding landscape, particularly for trees in highly advanced stages of decay. The most likely explanation for elevated tree fall with an increasing amount of logged or burned areas in the surrounding landscape is change in wind movement patterns associated with cutblocks or burned areas. Previous studies show that large old hollow-bearing trees are already at high risk of collapse in our study area. New analyses presented here indicate that additional logging operations in the surrounding landscape will further elevate that risk. Current logging prescriptions require the protection of large old hollow-bearing trees on cutblocks. We suggest that efforts to reduce the probability of collapse of large old hollow-bearing trees on unlogged sites will demand careful landscape planning to limit the amount of timber harvesting in the surrounding landscape.</p></div