Marine and Freshwater Research · 2014 · 29 citations · 46 references
Natural ResourcesEcologyFisheriesFish Population DynamicsFisheries ManagementFreshwater EcologyAbundance EstimationFish Population AssessmentFish Stock AssessmentFreshwater Fish EcologyFreshwater Population EcologyPond EcologyAquatic Ecology SurveysFish Abundance EstimationFish Sampling TechniquesPopulation Abundance EstimationPopulation Distribution AssessmentPopulation SizePopulation Size MeasurementRelative Abundance Analysis
Underwater video cameras (UVC) provide a non-lethal technique to sample fish in dense submersed aquatic vegetation. Fish often inhabit densely vegetated areas, but deficiencies of most sampling gears bias relative abundance estimates that inform fisheries management. This study developed methods using UVC to estimate relative abundance in dense vegetation using three experimental ponds covered with surface-matted hydrilla (Hydrilla verticillata) stocked at different densities of Lepomis spp. and largemouth bass (Micropterus salmoides). We conducted UVC point counts over 13 weeks to measure relative fish abundance and occurrence from video analysis. Ponds were then drained to obtain true fish densities. In total, fish were detected in 55% of all counts and juvenile and adult Lepomis spp. and largemouth bass were enumerated. End-of-season true fish densities ranged across ponds (from 52 to 37 000 fish ha–1). Additionally, pond 2’s true density changed substantially from 370 to 12 300 fish ha–1. True population size was accurately reflected in differences in estimated relative abundances obtained from fish counts, as in pond 2 where mean fish counts increased from 0.10 in week 1 to 2.33 by week 13. Underwater video accurately and precisely quantified relative abundance at naturally-occurring fish densities, but this success was reduced at low densities.
46
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Kenneth P. Burnham, David R. Anderson · Sociological Methods & Research · 2004 · 11.6K citations
ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE
Darryl I. MacKenzie, James D. Nichols, Gideon B. Lachman et al. · Ecology · 2002 · 4.4K citations
ANew Look at the Statistical Model Identification
HlROTUGU AKAlKE · 2011 · 4.2K citations