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Protected by dragons: Density surface modeling confirms large population of the critically endangered Yellow-crested Cockatoo on Komodo Island
Author(s) -
Anna Reuleaux,
Benny Aladin Siregar,
Nigel Collar,
Maria Rosdalima Panggur,
Ani Mardiastuti,
Martin Jones,
Stuart J. Marsden
Publication year - 2020
Publication title -
ornithological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.874
H-Index - 78
eISSN - 1938-5129
pISSN - 0010-5422
DOI - 10.1093/condor/duaa042
Subject(s) - critically endangered , endangered species , iucn red list , geography , ecology , population , habitat , threatened species , range (aeronautics) , conservation status , biology , demography , materials science , sociology , composite material
Intense trapping of the critically endangered Yellow-crested Cockatoo (Cacatua sulphurea) for the international pet trade has devastated its populations across Indonesia such that populations of >100 individuals remain at only a handful of sites. We combined distance sampling with density surface modeling (DSM) to predict local densities and estimate total population size for one of these areas, Komodo Island, part of Komodo National Park (KNP) in Indonesia. We modeled local density based on topography (topographic wetness index) and habitat types (percentage of palm savanna and deciduous monsoon forest). Our population estimate of 1,113 (95% CI: 587–2,109) individuals on Komodo Island was considerably larger than previous conservative estimates. Our density surface maps showed cockatoos to be absent over much of the island, but present at high densities in wooded valleys. Coincidence between our DSM and a set of independent cockatoo observations was high (93%). Standardized annual counts by KNP staff in selected areas of the island showed increases in cockatoo records from <400 in 2011 to ~650 in 2017. Taken together, our results indicate that KNP, alongside and indeed because of preserving its iconic Komodo dragons (Varanus komodoensis), is succeeding in protecting a significant population of Indonesia’s rarest cockatoo species. To our knowledge this is the first time DSM has been applied to a critically endangered species. Our findings highlight the potential of DSM for locating abundance hotspots, identifying habitat associations, and estimating global population size in a range of threatened taxa, especially if independent datasets can be used to validate model predictions.

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