ABC model for estimating sea lamprey local population size using a simple nest count during the spawning season

Population estimation implies considering the biology of species, but also constraints logistic aspects such as cost. While common methods based on individual counts can provide precise estimates, they require an extensive sampling effort. An alternative to these is using cues linked species abundance. In that case, producing absolute estimates requires assessing relationship between individuals and cues. this paper, we propose a model data spawning behaviour Approximate Bayesian Computation estimate number sea lamprey spawners nest data. By counting daily occupied nests parameters from behavioural study, set up simulating season returning population by comparison with field Our gives realistic discuss which prioritize collection sensitivity analysis, show halving sample size provides still satisfactory accuracy. We made easily parametrizable application run for any people interested in estimation, believe framework be good way increase both endangered invasive lamprey.