Evidence map›Paper›PMID 30150649›Full record

ArticleNature communications2018

Addressing human-tiger conflict using socio-ecological information on tolerance and risk.

Matthew J Struebig, Matthew Linkie, Nicolas J Deere, Deborah J Martyr, Betty Millyanawati, Sally C Faulkner, Steven C Le Comber, Fachruddin M Mangunjaya, Nigel Leader-Williams, Jeanne E McKay and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

11 authors.

Matthew J StruebigDurrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, UK. m.j.struebig@kent.ac.uk.
Matthew LinkieDurrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, UK.
Nicolas J DeereDurrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, UK.
Deborah J MartyrFauna and Flora International - Indonesia Programme, Kampus Universitas Nasional (UNAS), JI. Sawo Manila No. 61, Pejaten, Jakarta, 12550, Indonesia.
Betty MillyanawatiFauna and Flora International - Indonesia Programme, Kampus Universitas Nasional (UNAS), JI. Sawo Manila No. 61, Pejaten, Jakarta, 12550, Indonesia.
Sally C FaulknerSchool of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK.
Steven C Le ComberSchool of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK.
Fachruddin M MangunjayaFaculty of Biology, Universitas Nasional (UNAS), Jl. Sawo Manila Pejaten, Pasar Minggu, Jakarta, 12520, Indonesia.
Nigel Leader-WilliamsDepartment of Geography, University of Cambridge, Downing Place, Cambridge, CB2 3EN, UK.
Jeanne E McKayDurrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, UK.
Freya A V St JohnDurrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, UK.

Funding

Leverhulme Trust RPG-2014-061
6 · The paper itself

Abstract

Tigers are critically endangered due to deforestation and persecution. Yet in places, Sumatran tigers (Panthera tigris sumatrae) continue to coexist with people, offering insights for managing wildlife elsewhere. Here, we couple spatial models of encounter risk with information on tolerance from 2386 Sumatrans to reveal drivers of human-tiger conflict. Risk of encountering tigers was greater around populated villages that neighboured forest or rivers connecting tiger habitat; geographic profiles refined these predictions to three core areas. People's tolerance for tigers was related to underlying attitudes, emotions, norms and spiritual beliefs. Combining this information into socio-ecological models yielded predictions of tolerance that were 32 times better than models based on social predictors alone. Pre-emptive intervention based on these socio-ecological predictions could have averted up to 51% of attacks on livestock and people, saving 15 tigers. Our work provides further evidence of the benefits of interdisciplinary research on conservation conflicts.

Indexed as

TigersAnimalsConservation of Natural ResourcesEcologyEcosystemEndangered SpeciesHumansModels, Theoretical

Identifiers

PMID30150649
PMCPMC6110717

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.