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Distribution, density and relative abundance of Antarctic krill estimated by maximum likelihood geostatistics on acoustic data collected during commercial fishing operations

机译:根据商业捕鱼作业中收集的声学数据的最大似然地统计学估计南极磷虾的分布,密度和相对丰度

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There is a substantial harvest for Antarctic krill in the Southern Ocean, but little regular scientific monitoring of the resource. Recently, however, the Commission for the Conservation of Marine Living Resources (CCAMLR) has initialised a process to make use of acoustic data from commercial fisheries to increase the amount of relevant information available for making management decisions. We here provide an example where 34 days of acoustic data, collected during commercial krill fishing operations on the vessel 'Saga Sea' were processed to produce probability of presence, conditional density and relative abundance estimates on monthly, weekly and daily basis. Data were analyzed using a maximum likelihood time-series and geostatistical approaches, selected to account for the lack of sampling design, and likely correlation in space and time. The applied method showed low sensitivity of monthly estimates to different repeated measure criteria and location sub-settings. Most weekly estimates, but the last one, were also consistent with the full data (monthly) estimate. Highly variable and lower estimates were obtained, however, from daily data sets. Although our results suggest the method had provided an adequate treatment for time and space correlation, we were not able to evaluate potential bias due to preferential sampling of high density krill aggregations and/or limited area coverage within short time periods. The results suggest that this method, combined with some additional design based coverage by the fishing vessels, can be useful to obtain quantitative evaluations of krill density and distribution for management purposes. (C) 2015 Elsevier B.V. All rights reserved.
机译:在南大洋,南极磷虾的收成很大,但是对资源的定期科学监测很少。但是,最近,海洋生物资源保护委员会(CCAMLR)已启动了一个程序,该程序利用商业渔业的声学数据来增加可用于做出管理决定的相关信息。我们在这里提供了一个示例,其中对在“佐贺海”号上进行商业磷虾捕捞作业期间收集的34天的声音数据进行了处理,以产生每月,每周和每天的存在概率,条件密度和相对丰度估计。使用最大似然时间序列和地统计方法对数据进行了分析,选择这些数据是为了考虑到缺乏采样设计以及时空上可能的相关性。所应用的方法显示出每月估算值对不同的重复测量标准和位置子设置的敏感性较低。大多数每周估计,但最后一次估计也与完整数据(每月)估计一致。但是,从每日数据集获得了高度可变且较低的估计。尽管我们的结果表明该方法已经为时间和空间相关性提供了适当的处理方法,但是由于在短时间内对高密度磷虾聚集体和/或有限区域覆盖率进行了优先采样,因此我们无法评估潜在偏差。结果表明,该方法与渔船基于设计的其他一些补充相结合,对于获得用于管理目的的磷虾密度和分布的定量评估可能是有用的。 (C)2015 Elsevier B.V.保留所有权利。

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