Using occupancy‐based surveys and multi‐model inference to estimate abundance and distribution of crested gibbons (Nomascusspp.) in central Laos
Résumé fourni par la source
Reliable assessments of species’ status are prerequisites for monitoring the success of conservation programmes. However, survey conditions such as terrain and inaccessibility, compounded by the low densities of many species across Southeast Asia and other parts of the world are considerable barriers to obtaining robust populations estimates. We used an occupancy‐based approach and multi‐model inference to generate occupancy and abundance estimates for northern white‐cheeked crested gibbonsNomascus leucogenysand southern white‐cheeked crested gibbonsN. sikiin the Nam Kading National Protected Area (NKNPA) in central Lao Peoples’ Democratic Republic (hereafter Laos). We present these estimates for gibbons within the context of a strategy designed to monitor multiple species and discuss the practical challenges to obtaining sufficient data for robust population estimates to detect change in gibbon status over time. We surveyed approximately 210 km2of habitat and estimate an abundance of 45 (SE = 17, CV = 37%) groups, giving an average site abundance of 0.21 (SE = 0.08, CV = 37%) groups per km2. We make recommendations for ongoing gibbon monitoring and discuss the wider implications for cost effective wildlife monitoring in Laos. Am. J. Primatol. 78:462–472, 2016. © 2015 Wiley Periodicals, Inc.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé, mais le titre doit être comparé manuellement.
- Titre Crossref
- Using occupancy‐based surveys and multi‐model inference to estimate abundance and distribution of crested gibbons (<i>Nomascus</i>spp.) in central Laos
- Date Crossref
- 05/12/2015
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.