作者: Melissa Pink , Thomas C. Pratt , Michael G. Fox
DOI: 10.1577/M06-004.1
关键词: Sampling (statistics) 、 Underwater 、 Statistics 、 Regression analysis 、 Environmental science 、 Stratification (water) 、 Distance sampling 、 Sample (statistics) 、 Habitat 、 Abundance (ecology)
摘要: Abstract We contrasted fish abundance estimates generated from mark–recapture and underwater visual distance sampling to determine whether the latter method is a potentially valuable fisheries assessment tool. further examined altering detection function or habitat stratification including lake characteristics such as Secchi depth, temperature, density affected estimates. Distance produced that were comparable those of techniques (r 2 = 0.60), relationship improved considerably when two species difficult sample visually removed analysis 0.88). The precision was significantly better than sampling. more similar stratified by pooled across habitats. addition density, combination thereof regression equation that...