搜尋結果
- Northern Prawn Fishery (Commonwealth) trawl surveys were used to estimate the biomass of Moreton Bay Bugs in the Gulf of Carpentaria, from which an estimate of acceptable biological catch was derived.
fish.gov.au/2016-Reports/MORETON_BAY_BUGS
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Can trawl surveys estimate the biomass of Moreton Bay bugs?
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Are biomass estimates based on a bottom trawl survey?
Northern Prawn Fishery (Commonwealth) trawl surveys were used to estimate the biomass of Moreton Bay Bugs in the Gulf of Carpentaria, from which an estimate of acceptable biological catch was derived [Milton et al. 2010]. This assessment estimated the
2024年5月1日 · The aim of this study is to a) assess habitat partitioning between the two Moreton Bay bug species in the Townsville trawling area, and b) determine environmental factors influencing species’ distributions and any habitat partitioning.
2024年2月14日 · Reef Bugs (Thenus australiensis), commonly known as Moreton Bay Bugs, are iconic shovel-nosed lobsters in northern Australia and an increasingly important fisheries resource. Around 80% of landings occur in the Queensland East Coast Otter Trawl Fishery (ECOTF) where the first stock assessment of the species is underway.
Northern Prawn Fishery (Commonwealth) trawl surveys were used to estimate the biomass of Moreton Bay Bugs in the Gulf of Carpentaria, from which an estimate of acceptable biological catch was derived .
Moreton Bay bugs (Scyllarid lobsters) are a commercially important fished resource in northern Australian coastal waters. About 600 tonnes of bugs is reported in logbooks annually, valued at about $15 million (~$25/kg) nationally.
2023年3月1日 · Aside from the direct impact of estimated catch efficiency of the NEFSC trawl survey gear on biomass estimation, our analyses show more subtle impacts of using efficiency estimates with survey tow data to generate the abundance indices.
2000年12月31日 · A non-parametric method is described for using trawl survey data to estimate the probability distribution at any point in the survey region whose bottom depth is known. Integrating the expected value of the distribution over the region provides an estimate of the