Estimating abundance from repeated presence-absence data or point counts. Royle, J., A., Nichols, J., D., & Anonymous Ecology, 84(3):777-790, 2003.
Estimating abundance from repeated presence-absence data or point counts [link]Website  abstract   bibtex   
We describe an approach for estimating occupancy rate or the proportion of area occupied when heterogeneity in detection probability exists as a result of variation in abundance of the organism under study. The key feature of such problems, which we exploit, is that variation in abundance induces variation in detection probability. Thus, heterogeneity in abundance can be modeled as heterogeneity in detection probability. Moreover, this linkage between heterogeneity in abundance and heterogeneity in detection probability allows one to exploit a heterogeneous detection probability model to estimate the underlying distribution of abundances. Therefore, our method allows estimation of abundance from repeated observations of the presence or absence of animals without having to uniquely mark individuals in the population.
@article{
 title = {Estimating abundance from repeated presence-absence data or point counts},
 type = {article},
 year = {2003},
 keywords = {Abundance estimation,Breeding Bird Survey,Detection probability,Mixture models,Occupancy rate,Patch occupancy models,Point counts,Presence-absence data},
 pages = {777-790},
 volume = {84},
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 citation_key = {Royle2003},
 source_type = {Journal Article},
 notes = {Cited By (since 1996): 38<m:linebreak></m:linebreak>Journal Article},
 private_publication = {false},
 abstract = {We describe an approach for estimating occupancy rate or the proportion of area occupied when heterogeneity in detection probability exists as a result of variation in abundance of the organism under study. The key feature of such problems, which we exploit, is that variation in abundance induces variation in detection probability. Thus, heterogeneity in abundance can be modeled as heterogeneity in detection probability. Moreover, this linkage between heterogeneity in abundance and heterogeneity in detection probability allows one to exploit a heterogeneous detection probability model to estimate the underlying distribution of abundances. Therefore, our method allows estimation of abundance from repeated observations of the presence or absence of animals without having to uniquely mark individuals in the population.},
 bibtype = {article},
 author = {Royle, J A and Nichols, J D and Anonymous, undefined},
 journal = {Ecology},
 number = {3}
}

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