Evidence map›Paper›PMID 33319843›Full record

ArticleScientific reports2020

Impact of individual demographic and social factors on human-wildlife interactions: a comparative study of three macaque species.

Krishna N Balasubramaniam, Pascal R Marty, Shelby Samartino, Alvaro Sobrino, Taniya Gill, Mohammed Ismail, Rajarshi Saha, Brianne A Beisner, Stefano S K Kaburu, Eliza Bliss-Moreau and 8 more

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

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  8. Measuring dominance certainty and assessing its impact on individual and societal health in a nonhuman primate model: a network approach.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
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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

18 authors at 8 institutions in 5 countries.

Krishna N BalasubramaniamDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA. krishnanatarajan@ucdavis.edu.
Pascal R MartyDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Shelby SamartinoDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Alvaro SobrinoDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Taniya GillDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Mohammed IsmailDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Rajarshi SahaDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Brianne A BeisnerDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Stefano S K KaburuDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
Eliza Bliss-MoreauCalifornia National Primate Research Center, University of California, Davis, CA, 95616, USA.
Malgorzata E ArletInstitute of Human Biology and Evolution, Faculty of Biology, Adam Mickiewicz University, 61614, Poznan, Poland.
Nadine RuppertSchool of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.
Ahmad IsmailDepartment of Biology, Faculty of Science, Universiti Putra Malaysia, 43400 UPM, Selangor, Malaysia.
Shahrul Anuar Mohd SahSchool of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.
Lalit MohanHimachal Pradesh Forest Department, Shimla, Himachal Pradesh, 171002, India.
Sandeep K RattanHimachal Pradesh Forest Department, Shimla, Himachal Pradesh, 171002, India.
Ullasa KodandaramaiahIISER-TVM Centre for Research and Education in Ecology and Evolution (ICREEE), School of Biology, Indian Institute of Science Education and Research Thiruvananthapuram, Maruthamala P.O., Vithura, Thiruvananthapuram, 695551, India.
Brenda McCowanDepartment of Population Health and Reproduction, School of Veterinary Medicine (SVM), University of California at Davis, Davis, CA, 95616, USA.
University of California, Davis · USGovernment of Himachal Pradesh · INUniversiti Sains Malaysia · MYAdam Mickiewicz University in Poznań · PLIndian Institute of Science Education and Research Thiruvananthapuram · INThe University of Texas at San Antonio · USUniversiti Putra Malaysia · MYUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite increasing conflict at human-wildlife interfaces, there exists little research on how the attributes and behavior of individual wild animals may influence human-wildlife interactions. Adopting a comparative approach, we examined the impact of animals' life-history and social attributes on interactions between humans and (peri)urban macaques in Asia. For 10 groups of rhesus, long-tailed, and bonnet macaques, we collected social behavior, spatial data, and human-interaction data for 11-20 months on pre-identified individuals. Mixed-model analysis revealed that, across all species, males and spatially peripheral individuals interacted with humans the most, and that high-ranking individuals initiated more interactions with humans than low-rankers. Among bonnet macaques, but not rhesus or long-tailed macaques, individuals who were more well-connected in their grooming network interacted more frequently with humans than less well-connected individuals. From an evolutionary perspective, our results suggest that individuals incurring lower costs related to their life-history (males) and resource-access (high rank; strong social connections within a socially tolerant macaque species), but also higher costs on account of compromising the advantages of being in the core of their group (spatial periphery), are the most likely to take risks by interacting with humans in anthropogenic environments. From a conservation perspective, evaluating individual behavior will better inform efforts to minimize conflict-related costs and zoonotic-risk.

Indexed as

Social FactorsAggressionAnimalsAnimals, WildBehavior, AnimalFemaleHumansLinear ModelsMacaca fascicularisMacaca mulattaMacaca radiataMaleSocial Networking

Identifiers

PMID33319843
PMCPMC7738552
OpenAlexW3112630750

What OpenQuestion 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 OpenQuestion graph.