Table 1.
Correlates of RCV-A1 prevalence in wild rabbit populations in Australia.
Figure 1.
The distribution and prevalence of RCV-A1 in wild rabbit populations in Australia.
(A) The presence (red dot) and absence (black dot) of RCV-A1 at different sites. Black dots at smaller size indicate sites with sample numbers less than 20. (B) Prevalence of RCV-A1 at the 78 sites tested. Black dot: prevalence of RCV-A1 is 0% in the tested samples. Circles with varied size and colour indicate the different prevalence of RCV-A1 at each site. WA: Western Australia, NT: Northern Territory, SA: South Australia, QLD: Queensland, NSW: New South Wales, ACT: Australian Capital Territory, VIC: Victoria, TAS: Tasmania. The maps were generated using the “Mapping and analysis” tool from the ‘Atlas of Living Australia’ (http://www.ala.org.au/), licensed under a Creative Commons Attribution 3.0 Australia License.
Figure 2.
Predicted RCV-A1 prevalence in Australia and associated standard error for wet and dry periods.
(A) and (B) RCV-A1 prevalence and standard error for an episode of above average rainfall from 2010 to 2012 (Wet Period). (C) and (D) RCV-A1 prevalence and standard error for an episode of below average rainfall from 2002 to 2004 (Dry Period). Areas in grey represent novel climate conditions, where predictions could not be made.
Figure 3.
Predicted RCV-A1 prevalence in New South Wales, Australia.
(A) RCV-A1 prevalence for a period (2010–2012) of above average rainfall. (B) RCV-A1 prevalence for a period (2002–2004) of below average rainfall. (C) The grid-cell difference between predicted prevalence in a wet year and a dry year.