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国外渔具选择性研究进展 总被引：2，自引：1，他引：2
为了保护和可持续利用渔业资源 ,渔具选择性的研究在国际上倍受重视。该文以比较作业法中渔具选择性曲线的推导 ,特别是利用扩张 SEL ECT模型推导渔具选择性曲线为例 ,介绍国外渔具选择性研究的最新进展 ,以期作为我国开展这方面研究工作的参考 相似文献
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The estimation of gear selectivity is a critical issue in fishery stock assessment and management. Several methods have been
developed for estimating gillnet selectivity, but they all have their limitations, such as inappropriate objective function
in data fitting, lack of unique estimates due to the difficulty in finding global minima in minimization, biased estimates
due to outliers, and estimations of selectivity being influenced by the predetermined selectivity functions. In this study,
we develop a new algorithm that can overcome the above-mentioned problems in estimating the gillnet selectivity. The proposed
algorithms include minimizing the sum of squared vertical distances between two adjacent points and minimizing the weighted
sum of squared vertical distances between two adjacent points in the presence of outliers. According to the estimated gillnet
selectivity curve, the selectivity function can also be determined. This study suggests that the proposed algorithm is not
sensitive to outliers in selectivity data and improves on the previous methods in estimating gillnet selectivity and relative
population density of fish when a gillnet is used as a sampling tool. We suggest the proposed approach be used in estimating
gillnet selectivity. 相似文献
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本文综述了副渔获的分离技术及分离机理。指出以网渔具本身或装设的分离装置达到副渔获分离的目的 ,在对生物多样性的保护、渔业资源的可持续利用等方面都具有现实意义与应用价值。 相似文献
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胶州湾大沽河口潮滩水体N、P营养盐的时空分布 总被引：1，自引：0，他引：1
根据2009年2、5,8和11月对大沽河口潮滩水体N、P营养盐浓度、盐度、溶解氧含量和大型底栖动物的调查,研究了大沽河口潮滩N、P的时空分布特征。结果表明,DIN在冬、春,秋季以NO3-N为主,其次为NO2-N和NH4-N。在夏季,NO3-N、NO2-N和NH4-N在DIN中所占比重相当。N/P比值在夏季接近Redfield比值,在其它季节偏高。NO3-N浓度在冬季较高、夏季偏低;NO2-N浓度的季节变化不明显;NH4-N浓度在夏季较高、冬季偏低;PO4-P浓度在夏季较高、秋季偏低。NO3-N、NO2-N和PO4-P浓度主要自河道向东西潮滩递减,从近岸向湾内递减;NH4-N浓度无显著平面分布趋势,但在夏、秋季的西潮滩较高。NO3-N、NO2-N和PO4-P的分布主要受大沽河淡水注入的影响,同时在夏季受到浮游植物的吸收作用的显著影响,而NH4-N的分布则可能主要受到潮滩贝类等底栖动物NH4-N排泄作用的影响。潮滩在冬、春季为P中等限制潜在性富营养,在夏季为中等营养,在秋季为P限制潜在性富营养。 相似文献
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The estimation of gear selectivity is a critical issue in fishery stock assessment and management.Several methods have been developed for estimating gillnet selectivity,but they all have their limitations,such as inappropriate objective function in data fitting,lack of unique estimates due to the difficulty in finding global minima in minimization,biased estimates due to outliers,and estimations of selectivity being influenced by the predetermined selectivity functions.In this study,we develop a new algorithm that can overcome the above-mentioned problems in estimating the gillnet selectivity.The proposed algorithms include minimizing the sum of squared vertical distances between two adjacent points and minimizing the weighted sum of squared vertical distances between two adjacent points in the presence of outliers.According to the estimated gillnet selectivity curve,the selectivity function can also be determined.This study suggests that the proposed algorithm is not sensitive to outliers in selectivity data and improves on the previous methods in estimating gillnet selectivity and relative population density of fish when a gillnet is used as a sampling tool.We suggest the proposed approach be used in estimating gillnet selectivity. 相似文献
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