Spatial and temporal patterns in the sex ratio of American lobsters (Homarus americanus) in southwestern Nova Scotia, Canada
Koepper, S. and Revie, C. W. and Stryhn, H. and Clark, K. F. and Scott-Tibbetts, S. and Thakur, K. K. (2021) Spatial and temporal patterns in the sex ratio of American lobsters (Homarus americanus) in southwestern Nova Scotia, Canada. Scientific Reports, 11 (1). 24100. ISSN 2045-2322 (https://doi.org/10.1038/s41598-021-03233-8)
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Abstract
An approximate 1:1 sex ratio of American lobsters can be skewed due to environmental factors or fisheries management. Substantial skewness can impact mating behaviour and lower reproduction which could have far-reaching ecological and economic consequences. The aim was to investigate the sex ratio patterns of lobsters in two lobster fishing areas (LFAs) in southwestern Nova Scotia, Canada and identify factors associated with skewed sex ratios. This study analyzed biological data from more than 270,000 lobsters sampled over ten years (2010–2019) by the Fishermen and Scientists Research Society. A mixed effect logistic regression model evaluated the effect of spatial, temporal and environmental factors as well as size on the sex ratio of lobsters. There were significant temporal patterns in sex ratios that differed by LFA. After the effects of sampling month, year and LFA were accounted for, lower bottom temperature and deeper water depth were associated with a higher prevalence of females, especially in larger lobsters. We present the first long term analyses of sex ratio patterns in H. americanus in Atlantic Canada's most commercially important region for this species and provide evidence that these patterns are influenced by environmental factors and fisheries. In view of future climate change scenarios, monitoring the population dynamics of this iconic fishery species is crucial to ensure sustainable fisheries and healthy lobster stocks.
ORCID iDs
Koepper, S., Revie, C. W. ORCID: https://orcid.org/0000-0002-5018-0340, Stryhn, H., Clark, K. F., Scott-Tibbetts, S. and Thakur, K. K.;-
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Item type: Article ID code: 79009 Dates: DateEvent16 December 2021Published26 November 2021AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics
Agriculture > Aquaculture. Fisheries. AnglingDepartment: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 20 Dec 2021 16:39 Last modified: 28 Nov 2024 04:35 URI: https://strathprints.strath.ac.uk/id/eprint/79009