2 Works

Data from: Combining optimization and simulation modelling to measure the cumulative impacts of prescribed fire and wildfire on vegetation species diversity

Matthew P. Chick, Alan York, Holly Sitters, Julian Di Stefano & Craig R. Nitschke
1. Growth-stage optimisation (GSO) offers a new approach to biodiversity conservation in fire-prone regions through estimating the optimal distribution of vegetation growth stages that maximises a species diversity index. This optimal growth-stage structure provides managers an operational goal explicitly linked to a positive conservation outcome but does not define the fire regime needed to achieve it. 2. We paired GSO with LANDIS II, a landscape succession and disturbance simulation model, to (1) estimate the optimal...

Data from: Functional responses of an apex predator and a mesopredator to an invading ungulate: Dingoes, red foxes and sambar deer in south-east Australia

David M. Forsyth, Peter Caley, Naomi E. Davis, A. David M. Latham, Andrew P. Woolnough, Luke P. Woodford, Kasey A. Stamation, Paul D. Moloney & Charlie Pascoe
Biological invasions by large herbivores involve the establishment of novel interactions with the receiving mammalian carnivore community, but understanding these interactions is difficult due to the large spatiotemporal scales at which such dynamics would occur. We quantified the functional responses of a native apex predator (the dingo (Canis familiaris), which includes wild dogs and their hybrids) and a non-native mesopredator (red fox; Vulpes vulpes) to an invading non-native ungulate (sambar deer; Cervus unicolor) in Australia....

Registration Year

  • 2018
    2

Resource Types

  • Dataset
    2

Affiliations

  • University of Melbourne
    2
  • Department of Environment, Land, Water and Planning
    2
  • Parks Victoria
    1
  • Landcare Research
    1
  • Commonwealth Scientific and Industrial Research Organisation
    1
  • New South Wales Department of Primary Industries
    1