title: Measurement errors in line transect surveys where detectability varies with distance and size.
abstract: When using bivariate line transect methods to estimate the biomass density of a tightly clustered biological population, it is generally assumed that both the perpendicular distance from the trackline to the cluster and the cluster size, or biomass, are measured without error. This is unlikely to be the case in practice. In this article, assuming additive mean zero errors in distance and multiplicative errors in size, we develop an estimator of density that corrects for these errors. We use the method of moments for the case of gamma cluster size, randomly placed transect lines, and the generalized exponential detection function. We derive results that show that it may not be necessary to correct for errors in distance or size when the distance and size estimates are not biased. When the size estimates are biased, the biomass density estimate has approximately the same bias as the size estimates. The work is illustrated in the context of annual aerial surveys for juvenile southern bluefin tuna in the Great Australian Bight.
authors.affiliation: Department of Statistics and Applied Probability, National University of Singapore, Singapore. stacsx@nus.edu.sg
authors.forename: S X
authors.initials: SX
authors.lastname: Chen
authors.forename: A
authors.initials: A
authors.lastname: Cowling
mesh_terms: D000818:Animals; D000835:Animals, Wild; D001315:Australia; D001699:Biometry; D003625:Data Collection; D011156:Population Density; D014413:Tuna