基于海洋遥感的南海外海鸢乌贼最适栖息环境分析
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摘要
根据2010—2014年南海外海鸢乌贼(Sthenoteuthis oualaniensis)渔业生产数据,结合海洋遥感所获得的海表面温度(sea surface temperature,SST)和海表面高度异常(sea surface height anomaly,SSHA)数据,采用外包络法基于单位捕捞努力量渔获量(catch per unit of effort,CPUE)计算适应性指数(suitability index,SI),用算数平均法建立基于环境因子的栖息地适应性指数(habitat suitability index,HSI)分析模型。结果表明:南海外海鸢乌贼中心渔场的最适SST范围为26.4~29.6℃,最适SSHA范围为-0.014~0.114 cm;当HSI>0.6时,作业次数比率为77.99%,平均CPUE为4.13 t·d-1。研究指出,基于海表面温度和海表面高度异常的栖息地适应性指数模型能够较好地表征鸢乌贼的中心渔场,准确率超过77%。
According to the data of purpleback flying squid( Sthenoteuthis oualaniensis) fishery data during 2010- 2014 in the open South China Sea,combined with sea surface temperature(SST) and sea surface height anomaly(SSHA) data from ocean remote sensing satellites,and catch per unit of effort( CPUE) as the fishery density index to calculate suitability index( SI) by external envelope method,habitat suitability index( HSI) model was built by using arithmetic mean method. The results showed that optimal ranges of SST and SSHA in the main grounds of the open South China Sea were 26. 4- 29. 6 ℃ and- 0. 014- 0. 114 cm,respectively. When HSI value was more than 0. 6,percentage of fishing times reached 77. 99% and the average CPUE was 4.13 t· d~(-1). Our results indicated that the HSI model based on SST and SSHA could denote the main fishing grounds of purpleback flying squid,and the accuracy of the model was above 77%.
According to the data of purpleback flying squid( Sthenoteuthis oualaniensis) fishery data during 2010- 2014 in the open South China Sea,combined with sea surface temperature(SST) and sea surface height anomaly(SSHA) data from ocean remote sensing satellites,and catch per unit of effort( CPUE) as the fishery density index to calculate suitability index( SI) by external envelope method,habitat suitability index( HSI) model was built by using arithmetic mean method. The results showed that optimal ranges of SST and SSHA in the main grounds of the open South China Sea were 26. 4- 29. 6 ℃ and- 0. 014- 0. 114 cm,respectively. When HSI value was more than 0. 6,percentage of fishing times reached 77. 99% and the average CPUE was 4.13 t· d~(-1). Our results indicated that the HSI model based on SST and SSHA could denote the main fishing grounds of purpleback flying squid,and the accuracy of the model was above 77%.
引文
陈新军,刘必林,田思泉,等.2009.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.海洋与湖沼,40(6):707-713.
陈作志,邱永松.2002.南海区海洋渔业资源现状和可持续利用对策.湖北农学院学报,22(6):507-510.
樊伟,崔雪森,沈新强.2005.渔场渔情分析预报的研究及其进展.水产学报,29(5):706-710.
范江涛,冯雪,邱永松,等.2013.南海鸢乌贼生物学研究进展.广东农业科学,40(23):122-128.
方学燕,陈新军,丁琪.2014.基于栖息地指数的智利外海茎柔鱼渔场预报模型优化.广东海洋大学学报,34(4):67-73.
冯波.2003.印度洋大眼金枪鱼延绳钓钓获率与环境因素的初步研究(硕士学位论文).上海:上海水产大学.
纪世建,周为峰,程田飞,等.2015.南海外海渔场渔情分析预报的探讨.渔业信息与战略,30(2):98-105.
贾晓平,李永振,李纯厚,等.2004.南海专属经济区和大陆架渔业生态环境与渔业资源.北京:科学出版社.
李朋.2014.南海鸢乌贼的种群遗传结构(硕士学位论文).上海:上海海洋大学.
刘必林,陈新军,钟俊生.2009.采用耳石研究印度洋西北海域鸢乌贼的年龄,生长和种群结构.大连水产学院学报,24(3):206-212.
牛明香,李显森,徐玉成.2012.基于广义可加模型和案例推理的东南太平洋智利竹筴鱼中心渔场预报.海洋环境科学,31(1):30-33.
邱永松,曾晓光,陈涛,等.2008.南海渔业资源与渔业管理.北京:海洋出版社.
邵锋,陈新军.2008.印度洋西北海域鸢乌贼渔场分布与海面高度的关系.海洋科学,32(1):88-92.
宋婷婷.2014.基于海面高度数据研究西北太平洋巴特柔鱼(Ommastrephes bartrami)渔场分布(硕士学位论文).上海:上海海洋大学.
田思泉,陈新军,杨晓明.2006.阿拉伯北部公海海域鸢乌贼渔场分布及其与海洋环境因子关系.海洋湖沼通报,(1):51-57.
闫敏,张衡,樊伟,等.2015.南太平洋长鳍金枪鱼渔场CPUE时空分布及其与关键海洋环境因子的关系.生态学杂志,34(11):3191-3197.
颜云榕,冯波,卢伙胜,等.2012.南沙群岛北部海域鸢乌贼(Sthenoteuthis oualaniensis)夏季渔业生物学研究.海洋与湖沼,43(6):1177-1187.
杨德康.2002.两种鱿鱼资源及其开发利用.上海水产大学学报,11(2):176-179.
于刚,张洪杰,杨少玲,等.2014.南海鸢乌贼营养成分分析与评价.食品工业科技,35(18):358-361.
余为,陈新军.2012.印度洋西北海域鸢乌贼9-10月栖息地适宜指数研究.广东海洋大学学报,32(6):74-80.
张鹏,杨吝,张旭丰,等.2010.南海金枪鱼和鸢乌贼资源开发现状及前景.南方水产,6(1):68-74.
张宇美.2014.基于碳氮稳定同位素的南海鸢乌贼摄食生态与营养级研究(硕士学位论文).湛江:广东海洋大学.
周为峰,崔雪森,樊伟,等.2008.基于MTSAT卫星的我国渔业作业海区渔海况速报.遥感信息,(4):22-26.
Bertrand A,Josse E,Bach P,et al.2002.Hydrological and trophic characteristics of tuna habitat:Consequences on tuna distribution and longline catchability.Canadian Journal of Fisheries and Aquatic Sciences,59:1002-1013.
Chen XJ,Liu BL,Tian SQ,et al.2007.Fishery biology of purpleback squid,Sthenoteuthis oualaniensis,in the northwest Indian Ocean.Fisheries Research,83:98-104.
Georgakarakos S,Koutsoubas D,Valavanis V.2006.Time series analysis and forecasting techniques applied on loliginid and ommastrephid landings in Greek waters.Fisheries Research,78:55-71.
Grant WE,Matis JH,Miller W.1988.Forecasting commercial harvest of marine shrimp using a Markov chain model.Ecological Modelling,43:183-193.
Mohri M.1999.Seasonal change in bigeye tuna fishing areas in relation to the oceanographic parameters in the Indian Ocean.Journal of National Fisheries University,47:43-54.
Skov H,Humphreys E,Garthe S,et al.2008.Application of habitat suitability modelling to tracking data of marine animals as a means of analyzing their feeding habitats.Ecological Modelling,212:504-512.
Zhang TY,Shao QQ,Zhou CH.2001.Application of satellite altimeter data in fishery stock assessment.Fisheries Science,20:4-8.
Zuyev G,Nigmatullin C,Chesalin M,et al.2002.Main results of long term worldwide studies on tropical nektonic oceanic squid genus Sthenoteuthis:An overview of the Soviet investigations.Bulletin of Marine Science,71:1019-1060.
陈作志,邱永松.2002.南海区海洋渔业资源现状和可持续利用对策.湖北农学院学报,22(6):507-510.
樊伟,崔雪森,沈新强.2005.渔场渔情分析预报的研究及其进展.水产学报,29(5):706-710.
范江涛,冯雪,邱永松,等.2013.南海鸢乌贼生物学研究进展.广东农业科学,40(23):122-128.
方学燕,陈新军,丁琪.2014.基于栖息地指数的智利外海茎柔鱼渔场预报模型优化.广东海洋大学学报,34(4):67-73.
冯波.2003.印度洋大眼金枪鱼延绳钓钓获率与环境因素的初步研究(硕士学位论文).上海:上海水产大学.
纪世建,周为峰,程田飞,等.2015.南海外海渔场渔情分析预报的探讨.渔业信息与战略,30(2):98-105.
贾晓平,李永振,李纯厚,等.2004.南海专属经济区和大陆架渔业生态环境与渔业资源.北京:科学出版社.
李朋.2014.南海鸢乌贼的种群遗传结构(硕士学位论文).上海:上海海洋大学.
刘必林,陈新军,钟俊生.2009.采用耳石研究印度洋西北海域鸢乌贼的年龄,生长和种群结构.大连水产学院学报,24(3):206-212.
牛明香,李显森,徐玉成.2012.基于广义可加模型和案例推理的东南太平洋智利竹筴鱼中心渔场预报.海洋环境科学,31(1):30-33.
邱永松,曾晓光,陈涛,等.2008.南海渔业资源与渔业管理.北京:海洋出版社.
邵锋,陈新军.2008.印度洋西北海域鸢乌贼渔场分布与海面高度的关系.海洋科学,32(1):88-92.
宋婷婷.2014.基于海面高度数据研究西北太平洋巴特柔鱼(Ommastrephes bartrami)渔场分布(硕士学位论文).上海:上海海洋大学.
田思泉,陈新军,杨晓明.2006.阿拉伯北部公海海域鸢乌贼渔场分布及其与海洋环境因子关系.海洋湖沼通报,(1):51-57.
闫敏,张衡,樊伟,等.2015.南太平洋长鳍金枪鱼渔场CPUE时空分布及其与关键海洋环境因子的关系.生态学杂志,34(11):3191-3197.
颜云榕,冯波,卢伙胜,等.2012.南沙群岛北部海域鸢乌贼(Sthenoteuthis oualaniensis)夏季渔业生物学研究.海洋与湖沼,43(6):1177-1187.
杨德康.2002.两种鱿鱼资源及其开发利用.上海水产大学学报,11(2):176-179.
于刚,张洪杰,杨少玲,等.2014.南海鸢乌贼营养成分分析与评价.食品工业科技,35(18):358-361.
余为,陈新军.2012.印度洋西北海域鸢乌贼9-10月栖息地适宜指数研究.广东海洋大学学报,32(6):74-80.
张鹏,杨吝,张旭丰,等.2010.南海金枪鱼和鸢乌贼资源开发现状及前景.南方水产,6(1):68-74.
张宇美.2014.基于碳氮稳定同位素的南海鸢乌贼摄食生态与营养级研究(硕士学位论文).湛江:广东海洋大学.
周为峰,崔雪森,樊伟,等.2008.基于MTSAT卫星的我国渔业作业海区渔海况速报.遥感信息,(4):22-26.
Bertrand A,Josse E,Bach P,et al.2002.Hydrological and trophic characteristics of tuna habitat:Consequences on tuna distribution and longline catchability.Canadian Journal of Fisheries and Aquatic Sciences,59:1002-1013.
Chen XJ,Liu BL,Tian SQ,et al.2007.Fishery biology of purpleback squid,Sthenoteuthis oualaniensis,in the northwest Indian Ocean.Fisheries Research,83:98-104.
Georgakarakos S,Koutsoubas D,Valavanis V.2006.Time series analysis and forecasting techniques applied on loliginid and ommastrephid landings in Greek waters.Fisheries Research,78:55-71.
Grant WE,Matis JH,Miller W.1988.Forecasting commercial harvest of marine shrimp using a Markov chain model.Ecological Modelling,43:183-193.
Mohri M.1999.Seasonal change in bigeye tuna fishing areas in relation to the oceanographic parameters in the Indian Ocean.Journal of National Fisheries University,47:43-54.
Skov H,Humphreys E,Garthe S,et al.2008.Application of habitat suitability modelling to tracking data of marine animals as a means of analyzing their feeding habitats.Ecological Modelling,212:504-512.
Zhang TY,Shao QQ,Zhou CH.2001.Application of satellite altimeter data in fishery stock assessment.Fisheries Science,20:4-8.
Zuyev G,Nigmatullin C,Chesalin M,et al.2002.Main results of long term worldwide studies on tropical nektonic oceanic squid genus Sthenoteuthis:An overview of the Soviet investigations.Bulletin of Marine Science,71:1019-1060.