Input data

Input dat

Proportion of floodplain forest in different stand-condition categories along the mid-Murray River between 1990 and 2010.

<p>Stand condition was predicted from maps that were built from ground surveys and Landsat imagery <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091731#pone.0091731-Cunningham1" target="_blank">[4]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091731#pone.0091731-Cunningham2" target="_blank">[23]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091731#pone.0091731-Cunningham3" target="_blank">[26]</a>. Key: (1) good, dark green; (2) declined, light green; (3) poor, orange; (4) degraded, brown; (5) severe, red. Redrawn from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0091731#pone.0091731-MacNally1" target="_blank">[10]</a>.</p

Location of study sites on the middle Murray River floodplain, south-eastern Australia.

<p>Grey areas represent extant forests. Black dots represent locations of 1–27 study sites. Extensive forest areas are labeled, with Gt indicating Guttrum forest. Gunbower and Barmah were surveyed in 2004, 2005 and 2011; Campbells, Guttrum, Koondrook, Millewa and Ovens – in 2004 and 2005.</p

Predictor variables used in the analysis of capture rates of the yellow-footed antechinus <i>Antechinus flavipes</i> in river red gum woodlands in 2004, 2005 and 2011 in south-eastern Australia.

<p>NA  =  not collected.</p

Results of Bayesian regression analyses [posterior mean regression coefficient, <i>β</i>, and probability of non-zero coefficient, Pr(<i>β</i>≠ 0)] of capture rates of the yellow-footed antechinus <i>Antechinus flavipes</i> in river red gum woodlands in 2

<p>Pr(<i>β</i>≠ 0) values in parenthesis are averages of cross-validation fits [shown only for variables with Pr(<i>β</i>≠ 0) &gt; 0.75]. Response variables: F2  =  second-year females, F2 with teats  =  second-year females with suckled teats. Covariates: Condition  =  modeled stand condition at 100 m resolution, Webs  =  number of webs of golden orb-weaving spiders, FallenTimber  =  volume of fallen timber, FloodDist  =  Euclidean distance to flood waters, RainPrev6mon  =  rainfall over 6 months preceding the month of trapping, RainPrevYr  =  annual rainfall previous year, JD  =  whether trapping occurred during juvenile dispersal phase, postJD  =  whether trapping occurred between juvenile dispersal and breeding stages. Pr  =  probability that the covariate is a predictor of the response. Mean  =  regression coefficient. SD  =  standard deviation of regression coefficient. Pseudo<i>-R²</i> is the proportion of the binomial deviance [–2log(likelihood)] explained by the fitted model divided by the maximum possible value, values in parentheses are the corresponding values for 10-fold cross validation.</p

Appendix A. The ordered list of small-bodied species referred to in Fig. 2.

The ordered list of small-bodied species referred to in Fig. 2

Bird community data through time in an Australian forest

Summary diversity indices, species abundance distributions, individual size distributions, and rank abundance spectra for 92 surveys at three locations in Olinda State Forest from July 1993 to June 1996. Each survey was a 2 h transect traversal starting at sunrise on a given survey day. Body mass data were estimated using a simulation approach

Isotopic niche indices for estuarine fish

Isotopic niche indices for the fish and source assemblages of 9 Australian estuaries. Indices were calculated using bayesian methods of Jackson et al. (2011). Predictor variables are also included

MAR Data

MAR Dat

Eucalyptus camaldulensis (Dehnh.) seedling survival, height and sediment salinity dataset

<p>In September 2006 (austral spring), 480 seedlings of E. camaldulensis were planted in 24 plots on the banks of six ephemeral creeks, three of which were artificially flooded for 6–8 wk. Managed flooding was engineered by pumping water from the river into dry anabranch creeks that were dammed at their entrances using levee banks. Maximum flood depth among plots ranged from 0.4–0.7 m.<br>Two pairs of browsed and unbrowsed (1  2 m) plots were established along each creek. Browsing treatments (browsed or unbrowsed) were allocated randomly within each pair of plots, with all mammal herbivores being excluded by 1.3 m high steel fencing, with wire netting (3 cm mesh) attached.<br>One-year-old seedlings, grown from seed collected from a Murray River floodplain with similar climate and hydrological conditions (ca 80 km downstream from the study area), were obtained from a commercial nursery. Twenty seedlings were planted 40 cm apart in each plot. Seedling survival and height were measured eight times (spanning two austral summers) between October 2006 and June 2008 (0, 61, 151, 182, 273, 365, 578 and 609 d after planting).<br>In the austral spring of 2007, we collected three sediment cores from each plot at 20-30 cm below the surface, which corresponded to the lower seedling root zone. Sediment salinity was estimated by measuring electrical conductivity from the sediment samples using the 1:5 sediment/water paste extraction method (Rayment & Higginson 1992).</p> <p> </p