南太平洋长鳍金枪鱼栖息地指数模型的比较研究
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摘要
根据1994-2010年南太平洋长鳍金枪鱼生产统计数据,结合海表面温度(SST)和海面高度(SSH)等海洋环境数据,将投放钩数(捕捞努力量)作为适应性指数,采用外包络法,利用算术平均法(AM)、几何平均法(GM)、连乘法(CP)、最大值法(Max)和最小值法(Min)等5种方法建立栖息地指数(HSI)模型。研究表明,通过对这5种方法进行比较,最大值法、算术平均法和几何平均法均得到较好的拟合效果,其中最大值法拟合效果最好,模型的准确度可达到85.2%。研究认为,可基于海表面温度和海面高度等海洋遥感因子,利用最大值法栖息地指数模型,较好地预测南太平洋长鳍金枪鱼中心渔场。
The fishing effort-based Suitability Index(SI) Models were estimated by using the method of Data Envelopment Analysis based on the production data of albacore(Thunnus alalunga) from Western and Central Pacific Fisheries Commission in the South Pacific Ocean from 1994 to 2010, and the data of sea surface temperature(SST) and sea surface height(SSH) accordingly. The integrated habitat suitability index was established by using arithmetic mean value method(AM), geometric mean value method(GM), continued product value method(CP), maximum value method(Max) and minimum value method(Min). The result showed that Max, AM and GM fitted well,and the maximum value method fitted best. The accuracy of the model was 85.18%. It is concluded that the established habitat suitability index model using maximum value method can better predict the central fishing ground of albacore based on SST and SSH in the South Pacific Ocean.
The fishing effort-based Suitability Index(SI) Models were estimated by using the method of Data Envelopment Analysis based on the production data of albacore(Thunnus alalunga) from Western and Central Pacific Fisheries Commission in the South Pacific Ocean from 1994 to 2010, and the data of sea surface temperature(SST) and sea surface height(SSH) accordingly. The integrated habitat suitability index was established by using arithmetic mean value method(AM), geometric mean value method(GM), continued product value method(CP), maximum value method(Max) and minimum value method(Min). The result showed that Max, AM and GM fitted well,and the maximum value method fitted best. The accuracy of the model was 85.18%. It is concluded that the established habitat suitability index model using maximum value method can better predict the central fishing ground of albacore based on SST and SSH in the South Pacific Ocean.
引文
[1]范江涛,陈新军,钱卫国,等.南太平洋长鳍金枪鱼渔场预报模型研究[J].广东海洋大学学报,2011,31(6):61-67.
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[4]范江涛,陈新军,钱卫国,等.瓦努阿图周边海域长鳍金枪鱼渔场分布及其与表温关系[J].海洋湖沼通报,2011(1):71-78.
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[17]丁琪,陈新军,汪金涛.阿根廷滑柔鱼(Illex argentinus)适宜栖息地模型比较及其在渔场预报中的应用[J].渔业科学进展,2015,36(3):8-13.
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[19]冯波,陈新军,许柳雄.应用栖息地指数对印度洋大眼金枪鱼分布模式的研究[J].水产学报,2007,31(6):805-812.
[20]林显鹏,郭爱,张洪亮,等.所罗门群岛海域长鳍金枪鱼的垂直分布与环境因子的关系[J].浙江海洋学院学报,2011,30(4):303-306.
[2]陈峰,郭爱,周永东,等.南太平洋所罗门群岛海域长鳍金枪鱼的生物学特征[J].浙江海洋学院学报(自然科学版),2012,31(6):123-128.
[3]ZAINUDDIN M,KIYOFUJI H,SAITOH K,et al.Using multi-sensor satellite remote sensing and catch data to detect ocean hot spots for albacore(Thunnus alalunga)in the northwestern North Pacific[J].Deep Sea Research Part II:Topical Studies in Oceanography,2006,53(3/4):419-431.
[4]范江涛,陈新军,钱卫国,等.瓦努阿图周边海域长鳍金枪鱼渔场分布及其与表温关系[J].海洋湖沼通报,2011(1):71-78.
[5]ZAINUDDIN M,SAITOH K,SAITOH S.Albacore(Thunnus alalunga)fishing ground in relation to oceanographic conditions in the western North Pacific Ocean using remotely sensed satellite data[J].Fisheries Oceanography,2008,17(2):61-73.
[6]陈新军,高峰,官文江,等.渔情预报技术及模型研究进展[J].水产学报,2013,37(8):1270-1280.
[7]ANDRADE H A,GARCIA C A E.Skipjack tuna fishery in relation to sea surface temperature off the southern Brazilian coast[J].Fisheries Oceanography,1999,8(4):245-254.
[8]BERTRAND A,JOSSE E,BACH P et al.Hydrological and trophic characteristics of tuna habitat:consequences on tuna distribution and longline catchability[J].Canadian Journal of Fisheries and Aquatic Sciences,2002,59:1002-1013.
[9]陈新军,刘必林,田思泉,等.利用基于表温因子的栖息地模型预测西北太平洋柔鱼(Ommastrephes bartramii)渔场[J].海洋与湖沼,2009,40(6):707-713.
[10]CHEN X J,TIAN S Q,CHEN Y,et al.A modeling approach to identify optimal habitat and suitable fishing grounds for neon flying squid(Ommastrephes bartramii)in the Northwest Pacific Ocean[J].Fishery Bulletin,2010,108(1):1-14.
[11]陈新军.渔业资源经济学[M].北京:中国农业出版社,2004.
[12]LE PAPE O,CHAUVET F,MAHéVAS S,et al.Quantitative description of habitat suitability for the juvenile common sole(Solea solea,L.)in the Bay of Biscay(France)and the contribution of different habitats to the adult population[J].Journal of Sea Research,2003,50(2/3):139-149.
[13]ZAGAGLIA C R,LORENZZETTI J A,STECH J L.Remote sensing data and longline catches of yellowfin tuna(Thunnus albacares)in the equatorial Atlantic[J].Remote Sensing of Environment,2004,93(1/2):267-281.
[14]陈新军.渔业资源与渔场学[M].北京:海洋出版社,2004.
[15]陈新军,冯波,许柳雄.印度洋大眼金枪鱼栖息地指数研究及其比较[J].中国水产科学,2008,15(2):269-278.
[16]SANTOS A M P.Fisheries oceanography using satellite and airborne remote sensing methods:a review[J].Fisheries Research,2000,49(1):1-20.
[17]丁琪,陈新军,汪金涛.阿根廷滑柔鱼(Illex argentinus)适宜栖息地模型比较及其在渔场预报中的应用[J].渔业科学进展,2015,36(3):8-13.
[18]郭爱,陈新军.利用水温垂直结构研究中西太平洋鲣鱼栖息地指数[J].海洋渔业,2009,31(1):1-9.
[19]冯波,陈新军,许柳雄.应用栖息地指数对印度洋大眼金枪鱼分布模式的研究[J].水产学报,2007,31(6):805-812.
[20]林显鹏,郭爱,张洪亮,等.所罗门群岛海域长鳍金枪鱼的垂直分布与环境因子的关系[J].浙江海洋学院学报,2011,30(4):303-306.