ArticlePloS one2013
Anthropogenic resource subsidies determine space use by Australian arid zone dingoes: an improved resource selection modelling approach.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The Intentional and Unintentional Human Food Subsidy Landscape for a Large Carnivore.Ecology and evolution · 2025Article
- Diverse human dimensions affect the management of public and animal health impacts of free-roaming dogs in Australia: a One Health solution.Frontiers in veterinary science · 2025Review
- Efficacy of Management Efforts to Reduce Food-Related Dingo-Human Interactions and Conflict on K'gari (Fraser Island), Australia.Animals : an open access journal from MDPI · 2023Article
- Dingo Density Estimates and Movements in Equatorial Australia: Spatially Explicit Mark-Resight Models.Animals : an open access journal from MDPI · 2020Article
- Subsidies from anthropogenic resources alter diet, activity, and ranging behavior of an apex predator (Canis lupus).Scientific reports · 2019Article
- Feeding responses of the golden jackal after reduction of anthropogenic food subsidies.PloS one · 2018Article
- Prey use by dingoes in a contested landscape: Ecosystem service provider or biodiversity threat?Ecology and evolution · 2017Article
- Mapping Resource Selection Functions in Wildlife Studies: Concerns and Recommendations.Applied geography (Sevenoaks, England) · 2016Article
- Insects for breakfast and whales for dinner: the diet and body condition of dingoes on Fraser Island (K'gari).Scientific reports · 2016Article
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- Effects of sex and reproductive state on interactions between free-roaming domestic dogs.PloS one · 2014Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dingoes (Canis lupus dingo) were introduced to Australia and became feral at least 4,000 years ago. We hypothesized that dingoes, being of domestic origin, would be adaptable to anthropogenic resource subsidies and that their space use would be affected by the dispersion of those resources. We tested this by analyzing Resource Selection Functions (RSFs) developed from GPS fixes (locations) of dingoes in arid central Australia. Using Generalized Linear Mixed-effect Models (GLMMs), we investigated resource relationships for dingoes that had access to abundant food near mine facilities, and for those that did not. From these models, we predicted the probability of dingo occurrence in relation to anthropogenic resource subsidies and other habitat characteristics over ∼ 18,000 km(2). Very small standard errors and subsequent pervasively high P-values of results will become more important as the size of data sets, such as our GPS tracking logs, increases. Therefore, we also investigated methods to minimize the effects of serial and spatio-temporal correlation among samples and unbalanced study designs. Using GLMMs, we accounted for some of the correlation structure of GPS animal tracking data; however, parameter standard errors remained very small and all predictors were highly significant. Consequently, we developed an alternative approach that allowed us to review effect sizes at different spatial scales and determine which predictors were sufficiently ecologically meaningful to include in final RSF models. We determined that the most important predictor for dingo occurrence around mine sites was distance to the refuse facility. Away from mine sites, close proximity to human-provided watering points was predictive of dingo dispersion as were other landscape factors including palaeochannels, rocky rises and elevated drainage depressions. Our models demonstrate that anthropogenically supplemented food and water can alter dingo-resource relationships. The spatial distribution of such resources is therefore critical for the conservation and management of dingoes and other top predators.
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