| 摘要: |
| 根据 1999—2004 年8—10 月主渔汛期间我国鱿钓船在150—165°E 海域的鱿钓生产数据,结合其表温及表温梯度, 分别将作业次数百分比和单位渔船日产量作为适应性指数, 利用算术平均法(AM)和联乘法(GM)分别建立基于表温因子(表温和表温水平梯度)的综合栖息地指数模型。结果表明, AM 栖息地指数模型和GM 栖息地指数模型均拟合较好, 在HSI大于0.6 的海域, 1999—2004 年间其作业次数平均比重分别在70%以上, 平均日产量均在2t/d 以上。但AM 模型稍优于GM 模型。利用2005 年8—10 月生产数据及表温资料对AM 模型进行验证, 分析认为作业渔场主要分布在HSI大于0.6 海域, 其作业次数比重达到80%以上, 各月平均CPUE均在3.0t/d 以上。研究表明, 基于表温和表温水平梯度的AM 栖息地模型能获得较好预测西北太平洋柔鱼中心渔场。
|
| 关键词: 柔鱼, 栖息地模型, 表温, 表温水平梯度, 渔场, 西北太平洋 |
| DOI：10.11693/hyhz200906006006 |
| 分类号: |
| 基金项目:国家科技支撑计划，2006BAD09A05 号；教育部新世纪优秀人才计划项目，NCET-06-0437 号；国家高技术研究发展计划(863 计划)资助项目，2007AA092201 号；上海市重点学科建设项目，S30702 号。 |
附件 |
|
| FORECASTING THE FISHING GROUND OF OMMASTREPHES BARTRAMII WITH SST-BASED HABITAT SUITABILITY MODELLING IN NORTHWESTERN PACIFIC |
|
CHEN Xin-Jun1,2,3, LIU Bi-Lin1,2,3, TIAN Si-Quan1,2,3, QIAN Wei-Guo1,2,3, LI Gang1,2,3
|
|
1.The Key Laboratory of Oceanic fisheries Resources Exploitation of Shanghai Education Commission;2.College of Marine Sciences of Shanghai Ocean University;3.The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education
|
| Abstract: |
| Ommastrephes bartramii is an important squid species in Chinese jigging fishery in the Northwest Pacific. Accurate forecasting can provide a clue scientific guidance for fishery production. Using Chinese squid fishing production data during the main fishing season (August to October) from 1999 to 2004 in the waters of 150—165°E, the present study combines the sea surface temperature (SST) with the horizontal gradient (GSST) and the percentage of fishing times and daily catch (CPUE) as the suitability index (SI). Using arithmetic mean model (AM) and geometric mean model (GM), the integrated habitat suitability index (HSI) is established based on SST and GSST. The results indicate that AM model and GM model are fitted better. In the waters with the HSI greater than 0.6, the percentage of fishing times obtained is greater than 70% and the average daily catch is above 2 t/d from 1999 to 2004. However, AM model is slightly better than GM model. With the data obtained during August to October in 2005, it is found that the main fishing ground distributed in the waters with HSI greater than 0.6 in the AM HSI model, and its percentage of fishing times reached more than 80% and its average CPUE were above 3.0 t/d. The results show that the AM HSI model based on SST and GSST can better predict the fishing grounds of squid in the Northwest Pacific.
|
| Key words: Ommastrephes bartramii, Habitat suitability model, Sea surface temperature, Horizontal gradient of SST, Fishing ground, The Northwest Pacific |
