Integrating data from different survey types for population monitoring of an endangered species: the case of the Eld's deer.

ABSTRACT: Despite its value for conservation decision-making, we lack information on population abundances for most species. Because establishing large-scale monitoring schemes is rarely feasible, statistical methods that combine multiple data sources are promising approaches to maximize use of available information. We built a Bayesian hierarchical model that combined different survey data of the endangered Eld's deer in Shwesettaw Wildlife Sanctuary (SWS) in Myanmar and tested our approach in simulation experiments. We combined spatially-restricted line-transect abundance data with more spatially-extensive camera-trap occupancy data to enable estimation of the total deer abundance. The integrated model comprised an ecological model (common to both survey types, based on the equivalence between clo

SUBMITTER: Bowler DE 

PROVIDER: S-EPMC6533261 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature