Road-based line distance surveys overestimate densities of olive baboons.
Ontology highlight
ABSTRACT: Estimating population density and population dynamics is essential for understanding primate ecology and relies on robust methods. While distance sampling theory provides a robust framework for estimating animal abundance, implementing a constrained, non-systematic transect design could bias density estimates. Here, we assessed potential bias associated with line distance sampling surveys along roads based on a case study with olive baboons (Papio anubis) in Lake Manyara National Park (Tanzania). This was achieved by comparing density estimates of olive baboons derived from road transect surveys with density estimates derived from estimating the maximum number of social groups (via sleeping site counts) and multiplying this metric with the estimated average size of social groups. From 2011
SUBMITTER: Kiffner C
PROVIDER: S-EPMC8809570 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
ACCESS DATA