Evidence map›Paper›PMID 38233871›Full record

ArticleMovement ecology2024

Movement ecology of an endangered mesopredator in a mining landscape.

M A Cowan, J A Dunlop, L A Gibson, H A Moore, S A Setterfield, D G Nimmo

Abstract read
In one paragraph

Article in Movement ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

M A CowanGulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, 386 Elizabeth Mitchell Drive, Thurgoona, NSW, 2640, Australia. mcowan@csu.edu.au.
J A DunlopGulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, 386 Elizabeth Mitchell Drive, Thurgoona, NSW, 2640, Australia.
L A GibsonDepartment of Biodiversity, Conservation and Attractions, 17 Dick Perry Avenue, Kensington, WA, 6151, Australia.
H A MooreSchool of Agriculture and Environment, The University of Western Australia, Crawley, WA, 6009, Australia.
S A SetterfieldSchool of Agriculture and Environment, The University of Western Australia, Crawley, WA, 6009, Australia.
D G NimmoGulbali Institute, School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, 386 Elizabeth Mitchell Drive, Thurgoona, NSW, 2640, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEfficient movement and energy expenditure are vital for animal survival. Human disturbance can alter animal movement due to changes in resource availability and threats. Some animals can exploit anthropogenic disturbances for more efficient movement, while others face restricted or inefficient movement due to fragmentation of high-resource habitats, and risks associated with disturbed habitats. Mining, a major anthropogenic disturbance, removes natural habitats, introduces new landscape features, and alters resource distribution in the landscape. This study investigates the effect of mining on the movement of an endangered mesopredator, the northern quoll (Dasyurus hallucatus). Using GPS collars and accelerometers, we investigate their habitat selection and energy expenditure in an active mining landscape, to determine the effects of this disturbance on northern quolls.

methodsWe fit northern quolls with GPS collars and accelerometers during breeding and non-breeding season at an active mine site in the Pilbara region of Western Australia. We investigated broad-scale movement by calculating the movement ranges of quolls using utilisation distributions at the 95% isopleth, and compared habitat types and environmental characteristics within observed movement ranges to the available landscape. We investigated fine-scale movement by quolls with integrated step selection functions, assessing the relative selection strength for each habitat covariate. Finally, we used piecewise structural equation modelling to analyse the influence of each habitat covariate on northern quoll energy expenditure.

resultsAt the broad scale, northern quolls predominantly used rugged, rocky habitats, and used mining habitats in proportion to their availability. However, at the fine scale, habitat use varied between breeding and non-breeding seasons. During the breeding season, quolls notably avoided mining habitats, whereas in the non-breeding season, they frequented mining habitats equally to rocky and riparian habitats, albeit at a higher energetic cost.

conclusionMining impacts northern quolls by fragmenting favoured rocky habitats, increasing energy expenditure, and potentially impacting breeding dispersal. While mining habitats might offer limited resource opportunities in the non-breeding season, conservation efforts during active mining, including the creation of movement corridors and progressive habitat restoration would likely be useful. However, prioritising the preservation of natural rocky and riparian habitats in mining landscapes is vital for northern quoll conservation.

Indexed as

AccelerometerAnthropogenicBehaviourForaging efficiencyHabitat fragmentationHabitat selectionHuman–wildlifeMarsupialNorthern quollStep-selection function

Identifiers

PMID38233871
PMCPMC10795371

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.