Evidence map›Paper›PMID 42412166›Full record

ArticleEnvironmental management2026

Disentangling Environmental Variability and Mining Disturbance: A Five-year Assessment of Mammal Community Responses to Open-pit Expansion in a Semi-arid Landscape.

Ruan W Higgs, Gert Nicolaas Smit, Francois Deacon

Abstract read
In one paragraph

Article in Environmental management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ruan W HiggsDepartment of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, 9300, South Africa.
Gert Nicolaas SmitDepartment of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, 9300, South Africa.
Francois DeaconDepartment of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, 9300, South Africa. deaconf@ufs.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Open-pit mining is a major driver of habitat transformation, yet separating mining impacts from natural environmental variability remains challenging in semi-arid ecosystems. We evaluated mammal detection patterns over five years (2020-2024) in relation to mining expansion, rainfall, vegetation productivity, water availability, and habitat type in the Northern Cape Province, South Africa. Wildlife monitoring was conducted using 52 fixed camera-trap stations distributed across approximately 43,000 ha, generating 14,360 trap-nights. Detection activity varied with rainfall and herbaceous productivity, reflecting expected resource-driven dynamics. However, three nocturnal species, aardwolf (Proteles cristatus), Cape fox (Vulpes chama), and Cape porcupine (Hystrix africaeaustralis), showed consistent declines associated with mining expansion into wild olive shrubland. Detection rates were negatively correlated with the extent of mining disturbance (r = -0.55 to -0.72).Because detection probability was not explicitly modelled, results are interpreted as activity-based associations rather than measures of abundance. Nevertheless, the consistency of observed spatial and temporal patterns suggests that mining-related habitat modification may influence wildlife activity beyond background climatic variability. These findings highlight the value of integrating long-term camera-trap monitoring with spatial disturbance mapping to support biodiversity management in semi-arid mining landscapes.

Indexed as

Conservation of Natural ResourcesEcosystemMammalsMiningAnimalsSouth Africabiodiversitycamera trapsconservation managementopen-pit miningSouth Africaspecies richness

Identifiers

PMID42412166
PMCPMC13342406

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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 OpenQuestion graph.