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根据1990~2001年中西太平洋海域(20°N~25°S、175°W以西)金枪鱼围网鲣鱼作业产量和作业次数,结合不同水层的水温及其温差数据(海表温度SST,12.5 m、237.5 m和287.5 m温度,137.5 m与287.5 m温差),以高产频次的相对比值分别建立各因素的栖息地指数SI,建立单因素一元非线形回归模型。采用连乘法、最小值法、最大值法、算术平均法和几何平均法建立综合栖息地指数HSI,并对1990~2001年各月HSI值与实际作业产量进行验证。结果表明,采用连乘法和最小值法时,主要产量分布在HSI<0.5以下的区域;采用算术平均法和几何平均法时,主要产量分布在0.30.7的区域,其产量占总产量的87%。五种模型结果比较,认为最大值法能更好地反映中心渔场分布和符合鲣鱼的分布特征。采用最大值法推算2003年各月HSI值,并与实际产量分布进行实证分析,发现其各月产量主要分布在HSI>0.8的区域,说明利用HSI模型来预测中心渔场是可行的。
Based on the operating output and operation frequency of tuna purse seine from the western and central Pacific Ocean (20 ° N ~ 25 ° S, 175 ° W) from 1990 to 2001, the water temperature and its temperature difference data (SST, 12.5 m, temperature of 237.5 m and temperature of 287.5 m, temperature difference of 137.5 m and 287.5 m). The habitat index (SI) of each factor was established by relative ratio of high yielding frequency, and a univariate nonlinear regression model was established. HSI was established by using multiplication, minimum, maximum, arithmetical and geometric means, and the HSI value and actual operation output of each month from 1990 to 2001 were verified. The results showed that the main production was distributed in the area below HSI <0.5 when adopting the multiply multiplication method and the minimum value method. When using the arithmetic average method and the geometric mean method, the main production was distributed in the area of 0.3 0.7, and its output accounts for 87% of the total output. Comparison of the results of the five models, that the maximum value method can better reflect the distribution of central fisheries and in line with the distribution characteristics of anchovy. The maximum value method was used to calculate the HSI value of each month in 2003, and the actual output distribution was analyzed empirically. The monthly output of HSI was mainly distributed in the area of HSI> 0.8, indicating that it is feasible to use HSI model to forecast the central fishery.