Time-for-space substitution in N-mixture models for estimating population trends: a simulation-based evaluation.

ABSTRACT: N-mixture models usually rely on a meta-population design, in which repeated counts of individuals in multiple sampling locations are obtained over time. The time-for-space substitution (TSS) in N-mixture models allows to estimate population abundance and trend of a single population, without spatial replication. This application could be of great interest in ecological studies and conservation programs; however, its reliability has only been evaluated on a single case study. Here we perform a simulation-based evaluation of this particular application of N-mixture modelling. We generated count data, under 144 simulated scenarios, from a single population surveyed several times per year and subject to different dynamics. We compared simulated abundance and trend values with TSS estimates. T

SUBMITTER: Costa A 

PROVIDER: S-EPMC7907346 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature