Trapping efficiency of Ugglan traps and Longworth traps for house mice in south-eastern Australia

2002 ◽  
Vol 29 (1) ◽  
pp. 101 ◽  
Author(s):  
J. Jacob ◽  
H. Ylönen ◽  
C. G. Hodkinson

Small mammal studies require traps that efficiently capture the target species, are cheap, and preferably have no adverse effects on the animals. We compared the trapping efficiency of Ugglan multiple-capture live-traps with Longworth single-capture live-traps in field studies of house mice (Mus domesticus) in the Victorian Mallee of south-eastern Australia. More captures and recaptures were made with Longworth traps and fewer mice died while in these traps. There was no difference in mean body mass of captured mice between Ugglan and Longworth traps but relatively more males were trapped with Ugglan traps. The trapping mechanism that requires the mouse to activate a trap door, and open mesh wire along the sides of the Ugglan trap may be the main reasons for low trappability. In addition, the open sides could have contributed to the lower survival observed for mice in Ugglan traps. Although Ugglan traps have the potential for multiple captures, are cheaper, and their trapping mechanism is less prone to failure than Longworth traps, they were not as efficient in trapping house mice at low and medium densities.

2004 ◽  
Vol 31 (5) ◽  
pp. 465 ◽  
Author(s):  
Charles J. Krebs ◽  
Alice J. Kenney ◽  
Grant R. Singleton ◽  
Greg Mutze ◽  
Roger P. Pech ◽  
...  

Outbreaks of house mice (Mus domesticus) occur irregularly in the wheat-growing areas of south-eastern Australia, and are thought to be driven by weather variability, particularly rainfall. If rainfall drives grass and seed production, and vegetation production drives mouse dynamics, we should achieve better predictability of mouse outbreaks by the use of plant-production data. On a broader scale, if climatic variability is affected by El Niño–Southern Oscillation (ENSO) events, large-scale weather variables might be associated with mouse outbreaks. We could not find any association of mouse outbreaks over the last century with any ENSO measurements or other large-scale weather variables, indicating that the causal change linking mouse numbers with weather variation is more complex than is commonly assumed. For the 1960–2002 period we were only partly successful in using variation in cereal production to predict outbreaks of mice in nine areas of Victoria and South Australia, and we got better predictability of outbreaks from rainfall data alone. We achieved 70% correct predictions for a qualitative model using rainfall and 58% for a quantitative model using rainfall and spring mouse numbers. Without the detailed specific mechanisms underlying mouse population dynamics, we may not be able to improve on these simple models that link rainfall to mouse outbreaks.


2016 ◽  
Vol 67 (10) ◽  
pp. 1410 ◽  
Author(s):  
Jamin Forbes ◽  
Robyn J. Watts ◽  
Wayne A. Robinson ◽  
Lee J. Baumgartner ◽  
Prue McGuffie ◽  
...  

Stock enhancement is a management tool used for fishery recovery worldwide, yet the success of many stocking programs remains unquantified. Murray cod (Maccullochella peelii) and golden perch (Macquaria ambigua) are important Australian recreational target species that have experienced widespread decline. Stocking of these species has been undertaken for decades, with limited assessment of effectiveness. A batch marking and recapture approach was applied to assess stocked Murray cod and golden perch survival, contributions to wild fisheries, and condition in rivers and impoundments. Stocked fish were marked with calcein. Marked fish were detected during surveys undertaken 3 years and 10 months from initial marking, and it is probable that marks will persist beyond this time. The proportion of calcein marked fish in the population sub-sample whose age was equal to, or less than, the number of years since release, varied by 7–94% for Murray cod, and 9–98% for golden perch. Higher proportions of marked fish were found in impoundments than rivers. Marked Murray cod had significantly steeper length–weight relationships (i.e. higher weight at a given length) to unmarked fish. Our results show that application of methods for discriminating stocked and wild fish provides critical information for the development of adaptive, location-specific stocking strategies.


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