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Steven J. Lapidge
Researcher at Cooperative Research Centre
Publications - 33
Citations - 835
Steven J. Lapidge is an academic researcher from Cooperative Research Centre. The author has contributed to research in topics: Feral pig & Population. The author has an hindex of 17, co-authored 33 publications receiving 794 citations.
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Journal ArticleDOI
Comparison of methods to detect rare and cryptic species: A case study using the red fox (Vulpes vulpes)
S.J. Vine,S.J. Vine,Crowther,Steven J. Lapidge,Chris R. Dickman,Nick Mooney,Maxine P. Piggott,A.W. English +7 more
TL;DR: It was showed that the appropriate technique for detecting foxes varies depending on the time of the year, and wildlife managers should consider both seasonal effects and species biology when attempting to detect rare or elusive species.
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A strategic approach to mitigating the impacts of wild canids: proposed activities of the Invasive Animals Cooperative Research Centre
TL;DR: The Invasive Animals Cooperative Research Centre (IACRC) as mentioned in this paper was established to reduce the impacts of wild canids on agricultural and environmental values in Australia by 10% by applying a strategic approach.
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Additional toxins for feral pig (Sus scrofa) control: identifying and testing Achilles' heels
TL;DR: The findings presented here demonstrate the potential of sodium nitrite as an additional feral pig toxin, which is highly toxic to domestic pigs and potentially lethal interactions between various drugs, such as two antibiotics, monensin and tiamulin.
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Using a general index approach to analyze camera-trap abundance indices
TL;DR: A General Index model, which allows variance estimation, was adapted to analyze camera-trap observations of feral pigs for population monitoring in a tropical rainforest and found that it decreased by 57% following removal of 24 pigs and remained low in the following period.
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A review of existing and potential New World and Australasian vertebrate pesticides with a rationale for linking use patterns to registration requirements
Charles Eason,Kathleen A. Fagerstone,John D. Eisemann,Simon Humphrys,Jeanette R. O'Hare,Steven J. Lapidge +5 more
TL;DR: This work presents a hierarchy or sliding scale of typical data requirements relative to application techniques, to help clarify an evolving science-based approach which focuses on requiring data to address key scientific questions while allowing waivers where additional data have minor value.