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dc.contributor.authorWibisono, Hariyo T.en_US
dc.contributor.authorLinkie, Matthewen_US
dc.contributor.authorGuillera-Arroita, Gurutzetaen_US
dc.contributor.authorSmith, Joseph A.en_US
dc.contributor.authorPusparini, Wulanen_US
dc.contributor.authorBaroto, Panduen_US
dc.contributor.authorBrickle, Nicken_US
dc.contributor.authorDinata, Yoanen_US
dc.contributor.authorGemita, Elvaen_US
dc.contributor.authorGunaryadi, Donnyen_US
dc.contributor.authorHaidir, Iding A.en_US
dc.contributor.authorKarina, Indrien_US
dc.contributor.authorKiswayadi, Dedyen_US
dc.contributor.authorKristiantono, Deckien_US
dc.contributor.authorKurniawan, Harryen_US
dc.contributor.authorLahoz-Monfort, Jose J.en_US
dc.contributor.authorLeader-Williams, Nigelen_US
dc.contributor.authorMaddox, Tomen_US
dc.contributor.authorMartyr, Deborah J.en_US
dc.contributor.authorNugroho, Agungen_US
dc.contributor.authorParakkasi, Karmilaen_US
dc.contributor.authorPriatna, Dollyen_US
dc.contributor.authorRamadiyanta, Ekaen_US
dc.contributor.authorRamono, Widodo S.en_US
dc.contributor.authorReddy, Goddilla V.en_US
dc.contributor.authorRood, Ente J. J.en_US
dc.contributor.authorSaputra, Doddy Y.en_US
dc.contributor.authorSarimudi, Ahmaden_US
dc.contributor.authorSalampessy, Adnunen_US
dc.contributor.authorSeptayuda, Ekaen_US
dc.contributor.authorSuhartono, Tonnyen_US
dc.contributor.authorSumantri, Adeen_US
dc.contributor.authorTanjung, Iswandrien_US
dc.contributor.authorYulianto, Kokoen_US
dc.contributor.authorYunus, Mohammaden_US
dc.description.abstractLarge carnivores living in tropical rainforests are under immense pressure from the rapid conversion of their habitat. In response, millions of dollars are spent on conserving these species. However, the cost-effectiveness of such investments is poorly understood and this is largely because the requisite population estimates are difficult to achieve at appropriate spatial scales for these secretive species. Here, we apply a robust detection/non-detection sampling technique to produce the first reliable population metric (occupancy) for a critically endangered large carnivore; the Sumatran tiger (Panthera tigris sumatrae). From 2007–2009, seven landscapes were surveyed through 13,511 km of transects in 394 grid cells (17×17 km). Tiger sign was detected in 206 cells, producing a naive estimate of 0.52. However, after controlling for an unequal detection probability (where p = 0.13±0.017; ±S.E.), the estimated tiger occupancy was 0.72±0.048. Whilst the Sumatra-wide survey results gives cause for optimism, a significant negative correlation between occupancy and recent deforestation was found. For example, the Northern Riau landscape had an average deforestation rate of 9.8%/yr and by far the lowest occupancy (0.33±0.055). Our results highlight the key tiger areas in need of protection and have led to one area (Leuser-Ulu Masen) being upgraded as a ‘global priority’ for wild tiger conservation. However, Sumatra has one of the highest global deforestation rates and the two largest tiger landscapes identified in this study will become highly fragmented if their respective proposed roads networks are approved. Thus, it is vital that the Indonesian government tackles these threats, e.g. through improved land-use planning, if it is to succeed in meeting its ambitious National Tiger Recovery Plan targets of doubling the number of Sumatran tigers by 2022.en_US
dc.rightsCreative Commons Attribution 4.0 Internationalen_US
dc.titlePopulation Status of a Cryptic Top Predator: An Island-Wide Assessment of Tigers in Sumatran Rainforestsen_US
dc.typeArticle - Refereeden_US
dc.description.versionPeer Revieweden_US
dc.title.serialPLOS ONEen_US

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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International