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

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Addressing human-tiger conflict using socio-ecological information on tolerance and risk. / Struebig, Matthew J.; Linkie, Matthew; Deere, Nicolas J. et al.
Yn: Nature Communications, Cyfrol 9, 3455, 27.08.2018.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Struebig, MJ, Linkie, M, Deere, NJ, Martyr, DJ, Milliyanawati, B, Faulkner, SC, Le Comber, SC, Mangunjaya, FM, Leader-Williams, N, McKay, JE & St John, FAV 2018, 'Addressing human-tiger conflict using socio-ecological information on tolerance and risk', Nature Communications, cyfrol. 9, 3455. https://doi.org/10.1038/s41467-018-05983-y

APA

Struebig, M. J., Linkie, M., Deere, N. J., Martyr, D. J., Milliyanawati, B., Faulkner, S. C., Le Comber, S. C., Mangunjaya, F. M., Leader-Williams, N., McKay, J. E., & St John, F. A. V. (2018). Addressing human-tiger conflict using socio-ecological information on tolerance and risk. Nature Communications, 9, Erthygl 3455. https://doi.org/10.1038/s41467-018-05983-y

CBE

Struebig MJ, Linkie M, Deere NJ, Martyr DJ, Milliyanawati B, Faulkner SC, Le Comber SC, Mangunjaya FM, Leader-Williams N, McKay JE, et al. 2018. Addressing human-tiger conflict using socio-ecological information on tolerance and risk. Nature Communications. 9:Article 3455. https://doi.org/10.1038/s41467-018-05983-y

MLA

VancouverVancouver

Struebig MJ, Linkie M, Deere NJ, Martyr DJ, Milliyanawati B, Faulkner SC et al. Addressing human-tiger conflict using socio-ecological information on tolerance and risk. Nature Communications. 2018 Awst 27;9:3455. doi: 10.1038/s41467-018-05983-y

Author

Struebig, Matthew J. ; Linkie, Matthew ; Deere, Nicolas J. et al. / Addressing human-tiger conflict using socio-ecological information on tolerance and risk. Yn: Nature Communications. 2018 ; Cyfrol 9.

RIS

TY - JOUR

T1 - Addressing human-tiger conflict using socio-ecological information on tolerance and risk

AU - Struebig, Matthew J.

AU - Linkie, Matthew

AU - Deere, Nicolas J.

AU - Martyr, Deborah J.

AU - Milliyanawati, Betty

AU - Faulkner, Sally C.

AU - Le Comber, Steven C.

AU - Mangunjaya, Fachruddin M.

AU - Leader-Williams, Nigel

AU - McKay, Jeanne E.

AU - St John, Freya A. V.

PY - 2018/8/27

Y1 - 2018/8/27

N2 - 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 connectingtiger 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. Preemptive 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.

AB - 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 connectingtiger 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. Preemptive 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.

UR - https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-018-05983-y/MediaObjects/41467_2018_5983_MOESM1_ESM.pdf

U2 - 10.1038/s41467-018-05983-y

DO - 10.1038/s41467-018-05983-y

M3 - Article

VL - 9

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 3455

ER -