3 Works

Data from: Biomass consumption by surface fires across Earth's most fire prone continent

Brett P. Murphy, Lynda D. Prior, Mark A. Cochrane, Grant J. Williamson & David M. J. S. Bowman
Landscape fire is a key but poorly understood component of the global carbon cycle. Predicting biomass consumption by fire at large spatial scales is essential to understanding carbon dynamics and hence how fire management can reduce greenhouse gas emissions and increase ecosystem carbon storage. An Australia‐wide field‐based survey (at 113 locations) across large‐scale macroecological gradients (climate, productivity and fire regimes) enabled estimation of how biomass combustion by surface fire directly affects continental‐scale carbon budgets. In...

Data from: Isolation, marine transgression, and translocation of the bare-nosed wombat (Vombatus ursinus)

Alynn M. Martin, Scott Carver, Kirstin Proft, Tamieka A. Fraser, Adam Polkinghorne, Sam Banks & Christopher P. Burridge
Island populations can represent genetically distinct and evolutionarily important lineages relative to mainland conspecifics. However, phenotypic divergence of island populations does not necessarily reflect genetic divergence, particularly for lineages inhabiting islands periodically connected during Pleistocene low sea stands. Marine barriers may also not be solely responsible for any divergence that is observed. Here, we investigated genetic divergence among and within the three phenotypically-distinct subspecies of bare-nosed wombats (Vombatus ursinus) in southeast Australia that are presently—but...

Data from: Accuracy of identifications of mammal species from camera trap images: a northern Australian case study

Larissa C. Potter, Christopher J. Brady & Brett P. Murphy
Camera traps are a powerful and increasingly popular tool for mammal research, but like all survey methods, they have limitations. Identifying animal species from images is a critical component of camera trap studies, yet while researchers recognize constraints with experimental design or camera technology, image misidentification is still not well understood. We evaluated the effects of a species’ attributes (body mass and distinctiveness) and individual observer variables (experience and confidence) on the accuracy of mammal...

Registration Year

  • 2019

Resource Types

  • Dataset


  • Charles Darwin University
  • University of Tasmania
  • University of the Sunshine Coast
  • University of Maryland Center For Environmental Sciences