2018
DOI: 10.1139/cjfas-2017-0316
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Habitat suitability modeling based on a spatiotemporal model: an example for cusk in the Gulf of Maine

Abstract: 24Habitat use and distribution is a critical aspect in the management and conservation of a species, shortcomings of conventional HSIs: 1) the abundance indices from survey catch data typically 58 incorporated in these models do not account for changes in catchability over a time series; and 2) 59 the commonly used abundance indices, and therefore HSIs, are unable to incorporate surveys 60 from multiple gear types which sample different segments of the population and likely cover 61 different types of habitat… Show more

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Cited by 12 publications
(7 citation statements)
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“…The longline survey has very limited spatio‐temporal coverage compared to the bottom trawl survey; however, the longline model is still useful to help consider the effects of the biases of the trawl survey and the low catchability of the thorny skate (Runnebaum et al., 2018). Despite the limited spatio‐temporal coverage, the sampled thermal range of survey is unlikely to play a role in the longline results.…”
Section: Discussionmentioning
confidence: 99%
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“…The longline survey has very limited spatio‐temporal coverage compared to the bottom trawl survey; however, the longline model is still useful to help consider the effects of the biases of the trawl survey and the low catchability of the thorny skate (Runnebaum et al., 2018). Despite the limited spatio‐temporal coverage, the sampled thermal range of survey is unlikely to play a role in the longline results.…”
Section: Discussionmentioning
confidence: 99%
“…Runnebaum et al. (2018) developed a model standardizing catch between longline and trawl surveys for the data‐limited demersal fish, cusk ( Brosme brosme ). They did this by standardizing area swept in each survey, modeling cusk density for each method, and using that modeled density as an input for calculating a habitat suitability index.…”
Section: Discussionmentioning
confidence: 99%
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“…Advantages for this approach include minimizing variance associated with using multiple vessels by maintaining a consistent sampling platform and having a vessel designed to satisfy data collection needs (Helser et al 2004). Although there are benefits to the deployment of dedicated research vessels, an increasing number of resource surveys are being conducted using a cooperative approach, where commercial fishing vessels are chartered as research platforms (Hanna 1995, Helser et al 2004, Runnebaum et al 2018, Thorson & Ward 2014, Wurtzell et al 2016. This type of approach can decrease research costs and increase stakeholder buy-in to survey, management, and assessment results (Hartley & Robertson 2006, Johnson & van Densen 2007, Wurtzell et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Recent development of a vector autoregressive spatiotemporal (VAST) model (Thorson & Barnett, 2017) provides a tool to estimate biomass in defined spatial areas and could be useful in quota allocation (Thorson, 2019). In the Northwest Atlantic Ocean, VAST has been used to standardise indices for the northern shrimp ( Pandalus borealis Krøyer) assessment (Cao et al, 2017); to combine data from multiple fishery‐independent surveys to predict density estimates for cusk ( Brosme brosme (Ascanius)) for use in habitat suitability indices (Runnebaum et al, 2018), as well as to predict hotspots of cusk bycatch in the American lobster ( Homarus americanus Milne‐Edwards) fishery (Runnebaum et al, 2020); to test the incorporation of environmental covariates in a length‐structured assessment of the American lobster (Hodgdon et al, 2020); and to examine distribution shifts for cod (Guan et al, 2017) and summer flounder ( Paralichthys dentatus (L.)) in the region (Perretti & Thorson, 2019).…”
Section: Introductionmentioning
confidence: 99%