Impacts of spatial scales of fisheries and environmental data on catch per unit effort standardisation

被引:21
作者
Tian, Siquan [1 ,2 ]
Chen, Yong [1 ,3 ]
Chen, Xinjun [1 ,2 ]
Xu, Liuxiong [1 ,2 ]
Dai, Xiaojie [1 ,2 ]
机构
[1] Shanghai Ocean Univ, Key Lab, Shanghai Educ Commiss Ocean Fisheries Resources E, Shanghai 201306, Peoples R China
[2] Shanghai Ocean Univ, Coll Marine Sci, Lingang New City 201306, Shanghai, Peoples R China
[3] Univ Maine, Sch Marine Sci, Orono, ME 04469 USA
基金
美国国家科学基金会;
关键词
CPUE standardisation; environmental variables; generalised additive models; north-western Pacific Ocean; Ommastrephes bartramii; ADDITIVE-MODELS; ABUNDANCE; SEA; PATTERNS; MAINE; COD;
D O I
10.1071/MF09087
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Spatial scale is an important factor that needs to be considered in data collection and analysis in ecological studies. Studies focusing on the quantitative evaluation of impacts of spatial scales are, however, limited in fisheries. Using the Chinese squid-jigging fishery in the north-western Pacific Ocean as an example, we evaluated impacts of spatial scale used in grouping fisheries and environmental data on the standardisation of fisheries catch per unit effort (CPUE). We developed 18 scenarios of different spatial scales with a combination of three latitudinal levels (0.5 degrees, 1 degrees and 2 degrees) and six longitudinal levels (0.5 degrees, 1 degrees, 2 degrees, 3 degrees, 4 degrees and 5 degrees) to aggregate the data. We then applied generalised additive models to analyse the 18 scenarios of data for the CPUE standardisation, and quantified differences among the scenarios. This study shows that longitudinal and latitudinal spatial scale and size of the spatial area for data aggregation can greatly influence the standardisation of CPUE. We recommend that similar studies be undertaken whenever possible to evaluate the roles of spatial scales and to identify the optimal spatial scale for data aggregations in the standardisation of CPUE and fisheries stock assessment.
引用
收藏
页码:1273 / 1284
页数:12
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