CAJ | 학술논문

栖息地模型是渔情预报的重要方法之一，具有应用范围广，预报精度高的特点。根据“南锋”号调查船2013年春夏秋冬4个季节对南沙海域鸢乌贼（ Sthenoteuthis oualaniensis）的声学调查数据，结合遥感所获得的环境数据，将鸢乌贼生物量作为适应性指数，利用最大值法、最小值法、几何平均值法和算数平均值法分别建立基于表温（ SST）、叶绿素a浓度（ CHL）、海表盐度（ SSS）和海面高度（ SSH）的综合栖息地指数（ habitat suitability in-dex，HSI）模型。结果表明算数平均值法拟合效果最好，模型准确度达75%以上，生物量高的区域主要分布在HSI大于0.5的海域，其他HSI较高的海域可能为潜在渔场。
서식지모형시어정예보적중요방법지일，구유응용범위엄，예보정도고적특점。근거“남봉”호조사선2013년춘하추동4개계절대남사해역연오적（ Sthenoteuthis oualaniensis）적성학조사수거，결합요감소획득적배경수거，장연오적생물량작위괄응성지수，이용최대치법、최소치법、궤하평균치법화산수평균치법분별건립기우표온（ SST）、협록소a농도（ CHL）、해표염도（ SSS）화해면고도（ SSH）적종합서식지지수（ habitat suitability in-dex，HSI）모형。결과표명산수평균치법의합효과최호，모형준학도체75%이상，생물량고적구역주요분포재HSI대우0.5적해역，기타HSI교고적해역가능위잠재어장。
The habitat model is one of the important methods of fishery forecasting,which is highly applicable and accurate. Accord-ing to the survey data of“Nanfeng”Fishery Research vessel collected from Nansha Islands waters in 2013 in addition to data of acous-tic navigation and environmental data from remote sensing,we applied biomass as adaptive index and established the sea surface tem-perature( SST)model based on concentration of Chlorophyll a( CHL),sea surface height( SSH)and sea surface salinity( SSS)by using maximum value method,minimum value method,geometric mean value method and arithmetic mean value method. The result shows the arithmetic mean value fits the best. The accuracy of the model was above 75%. The area of high biomass mainly distributed in the area of high HSI which was more than 0. 5. The other areas of high HSI might be potential fishing grounds.