Affiliation:
1. School of Natural Sciences University of Tasmania Hobart Tasmania Australia
2. Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania Australia
3. Department for Environment and Water Port Augusta South Australia Australia
4. Davies Livestock Research Centre, School of Animal and Veterinary Sciences University of Adelaide Roseworthy South Australia Australia
Abstract
Abstract
Despite the staggering economic and ecological impacts of invasive animals, maps of their distribution are often only broad generalisations. Detailed knowledge about the spatial distribution of pest animals is crucial to efficiently reduce their numbers in open landscapes where no conservation fencing, or natural boundaries exist.
Our case study tests a random but spatially balanced transect design to collect data on the distribution of the European rabbit (Oryctolagus cuniculus), a major destructive pest species in Australian ecosystems, and create distribution maps in relation to abiotic and biotic features. We surveyed an area of 650 km2 in the semi‐arid Flinders Ranges of South Australia using 95 transects (1.4 km length by 50 m width), that were placed with a method originally developed for surveying the ocean‐floor and applied for the first time in terrestrial ecosystems.
According to a hurdle model fitted to our data set, the presence of rabbit warrens is influenced by geology, vegetation cover and the topographic wetness index, whereas the number of holes per warren depends on the ruggedness of the terrain, the vegetation cover and whether it has previously been destroyed.
The model predicted the numbers of rabbit holes with up to 96.4% accuracy and at a previously unavailable resolution, providing a significant improvement in detail of the distribution of this feral animal.
Synthesis and applications: A reliable, high‐resolution map of the distribution of rabbit densities was generated with surveying of less than 1% of the study area, information that can now be used to direct targeted conservation management efforts. This method is highly accurate and can still be improved in future studies.
Funder
Australian Research Council
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