Measurement Errors and Imperfect Detection Rates on the Transect Line in Independent Observer Line Transect Surveys

Autor: Shenghua Kelly Fan
Rok vydání: 2021
Předmět:
Zdroj: Journal of Data Science. 7:331-347
ISSN: 1683-8602
1680-743X
DOI: 10.6339/jds.2009.07(3).476
Popis: This paper proposes a parametric method for estimating animal abundance using data from independent observer line transect surveys. This method allows measurement errors in distance and size, and less than 100% detection rates on the transect line. Based on data from southern bluefin tuna surveys and data from a mike whale survey, simulation studies were conducted and the results show that 1) the proposed estimates agree well with the true values, 2) the effect of small measurement errors in distance could still be large if measurements on size are biased, and 3) incorrectly as- suming 100% detection rates on the transect line will greatly underestimate the animal abundance.
Databáze: OpenAIRE