Evidence map›Paper›PMID 36699572›Full record

ArticleEcology and evolution2023

Mineral lick use by a community of large herbivores in northern Iran.

Farid Salmanpour, Zahra Shakoori, Mehdi Kia, Rahman Eshaghi, Mehdi Ghaderi, Saied Ghomi, Reza Kaveh, Kuros Rabie, Bahram H Kiabi, Mohammad S Farhadinia

Abstract read
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Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Farid SalmanpourDepartment of Biodiversity and Ecosystem Management, Research Institute of Environmental Sciences Shahid Beheshti University Tehran Iran.ORCID https://orcid.org/0000-0002-1517-9061
Zahra ShakooriDepartment of Biodiversity and Ecosystem Management, Research Institute of Environmental Sciences Shahid Beheshti University Tehran Iran.ORCID https://orcid.org/0000-0003-3057-8981
Mehdi KiaDepartment of Environment Mazandaran Provincial Office Mazandaran Iran.
Rahman EshaghiDepartment of Environment Mazandaran Provincial Office Mazandaran Iran.
Mehdi GhaderiDepartment of Environment Mazandaran Provincial Office Mazandaran Iran.
Saied GhomiDepartment of Environment Mazandaran Provincial Office Mazandaran Iran.
Reza KavehDepartment of Environment Mazandaran Provincial Office Mazandaran Iran.
Kuros RabieDepartment of Environment Mazandaran Provincial Office Mazandaran Iran.
Bahram H KiabiDepartment of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology Shahid Beheshti University Tehran Iran.
Mohammad S FarhadiniaDepartment of Biology University of Oxford Oxford UK.ORCID https://orcid.org/0000-0002-5385-6254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural mineral licks are ecologically valuable resources to meet the physiological needs of herbivores, particularly in temperate forests. Importantly, licking sites can harbor high anthropogenic risk for conservation-dependent herbivores through higher chance of pathogen spillover from livestock and increased levels of poaching risks. However, to the best of our knowledge, there is no information on the mineral lick use in temperate forests of west Asia and the Caucasus where a few threatened deer species exist. We monitored four naturally occurring mineral licks in Central Alborz Protected Area, northern Iran during May-July 2019 using camera traps and analyzed the mineral content of the licking sites. A total of 53 independent mineral lick visits were obtained from only three species of herbivores, i.e., Caspian red deer (

Indexed as

Caspian red deergeophagyIranlick siteroe deer

Identifiers

PMID36699572
PMCPMC9849147

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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.