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Understanding where species occur and how difficult they are to detect during surveys is crucial for designing and evaluating monitoring programs, and has broader applications for conservation planning and management. In this study, we modelled occupancy and the effectiveness of six sampling methods at detecting vertebrates across the Top End of northern Australia. We fitted occupancy-detection models to 136 species (83 birds, 33 reptiles, 20 mammals) of 242 recorded during surveys of 333 sites in eight conservation reserves between 2011 and 2016. For modelled species, mean occupancy was highly variable: birds and reptiles ranged from 0.01-0.81 and 0.01-0.49, respectively, whereas mammal occupancy was lower, ranging from 0.02-0.30. Of the 11 environmental covariates considered as potential predictors of occupancy, topographic ruggedness, elevation, maximum temperature, and fire frequency were retained more readily in the top models. Using these models, we predicted species occupancy across the Top End of northern Australia (293,017 km2) and generated species richness maps for each species group. For mammals and reptiles, high richness was associated with rugged terrain, while bird richness was highest in coastal lowland woodlands. On average, detectability of diurnal birds was higher per day of surveys (0.33 ± 0.09) compared with nocturnal birds per night of spotlighting (0.13 ± 0.06). Detectability of reptiles was similar per day/night of pit trapping (0.30 ± 0.09) as per night of spotlighting (0.29 ± 0.11). On average, mammals were highly detectable using motion-sensor cameras for a week (0.36 ± 0.06), with exception of smaller-bodied species. One night of Elliott trapping (0.20 ± 0.06) and spotlighting (0.19 ± 0.06) was more effective at detecting mammals than cage (0.08 ± 0.03) and pit trapping (0.05 ± 0.04). Our estimates of species occupancy and detectability will help inform decisions about how best to redesign a long-running vertebrate monitoring program in the Top End of northern Australia.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6152866 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0203304 | PLOS |
Disabil Rehabil
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Occupational Performance Network, Sydney, Australia.
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Br J Cancer
September 2025
School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Background: Studies examining the association of chronic kidney disease (CKD) with cancer risk have demonstrated conflicting results.
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J Diabetes Complications
August 2025
Vrije Universiteit Brussel, Bd de la Plaine 2, 1050 Ixelles, Belgium; KidZ Health Castle, Universiteit Ziekenhuis Brussel, Av du Laerbeek 101, 1090 Jette, Belgium. Electronic address:
Aims: Our review aimed to determine the prevalence of - and factors associated with - hearing loss, oral and olfactory disease, frozen shoulder, trigger finger, and hair loss in young adults with type 1 diabetes. These conditions were selected based on research team interests, existing literature, and group discussion.
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J Thromb Thrombolysis
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Department of Haematology, Northern Hospital, 185 Cooper St, Epping, VIC, 3076, Australia.
Iliofemoral deep vein thrombosis (IFDVT) is associated with potential for poor outcomes despite optimal anticoagulation therapy. To characterize the real-world management of IFDVT in an Australian population. Retrospective evaluation of IFDVT cases managed at Northern Health, Australia from January 2011 to December 2020 was performed and compared to non-iliofemoral lower limb DVTs (non-IFDVT) (n = 1793).
View Article and Find Full Text PDFMol Psychiatry
September 2025
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Iron-the most abundant magnetic brain substance-is essential for many biological processes, including dopamine and myelin synthesis. Quantitative susceptibility mapping (QSM) MRI has recently linked altered subcortical magnetic susceptibility (χ) to schizophrenia. Since χ is increased by iron and decreased by myelin, abnormal levels of either could underlie these QSM differences.
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