基于综合环境因子的协同克里金法分析茎柔鱼资源丰度空间分布

方学燕; 陈新军; 冯永玖; 陈芃

doi:10.3969/j.issn.0253-4193.2017.02.006

基于综合环境因子的协同克里金法分析茎柔鱼资源丰度空间分布

doi: 10.3969/j.issn.0253-4193.2017.02.006

1.
上海海海洋大学海洋科学学院, 上海 201306
2.
上海海海洋大学海洋科学学院, 上海 201306;国家远洋渔业工程技术研究中心, 上海 201306;上海海洋大学大洋渔业可持续开发教育部重点实验室, 上海 201306;远洋渔业协同创新中心, 上海 201306

基金项目: 海洋局公益性行业专项（20155014）；上海市科技创新行动计划（5DZ1202200）；海洋二号卫星地面应用系统项目（HY2A-HT-YWY-006）。

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出版历程
- 收稿日期: 2016-06-26
- 修回日期: 2016-09-30

Study of spatial distribution for Dosidicus gigas abundance off Peru based on a comprehensive environmental factor

1.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;National Engineering Research Center for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China;The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China;Collaborative Innovation Center for Distant-water Fisheries, Shanghai 201306, China

摘要

摘要: 茎柔鱼是我国重要的远洋捕捞对象之一，研究其资源丰度空间分布问题，有助于更好地理解茎柔鱼的生态习性，并提高我国鱿钓渔船的生产效率。本文利用上海海洋大学鱿钓技术组提供的2003-2012年6-9月秘鲁外海茎柔鱼捕捞数据，结合海表面温度（SST），海表面高度（SSH），海表面盐度（SSS）和叶绿素浓度（Chl a）进行协同克里金插值预测其资源丰度的空间分布。为了解决协同克里金插值中4个环境因子的权重问题，本文将4个环境因子进行归一化处理，利用主成分分析方法将其整合为单一综合环境因子，以此作为协变量。将综合环境因子与单位捕捞努力量渔获量（CPUE）进行相关性检验后进行协同克里金插值，根据平均误差（ME），均方根误差（RMSE）和标准化均方根（RMSSE）对插值结果评价，探讨此种方法的可行性。研究结果认为：（1）主成分分析方法获得的6-9月份的综合环境因子均与CPUE具有显著相关性；（2）6-7月份ME分别为0.002 6和0.002 5，预测准确性很高，平均预测结果稍高于实际观测值；而8-9月份的ME分别为-0.007 8和-0.000 2，预测准确性较高，平均预测结果稍低于实际观测值。6月份的RMSE估值精度最高，8月份的估值精度最低。6-7月份的RMSSE值小于1，说明都高估了预测的不确定性，8-9月份的RMSSE值大于1，说明都低估了预测的不确定性，则在6-9月份中的预测精度和准确性上会有一定程度的偏差。从ME、RMSE和RMSSE三者综合来看，6-9月的预测值具有一定的可靠性。
- 茎柔鱼 /
- 空间分布 /
- 综合环境因子 /
- 协同克里金 /
- 秘鲁外海
Abstract: Dosidicus gigas is one of the most important oceanic fishing objects. It is useful for learning the ecological habitat and increasing the fishing efficiency to study the spatial distribution of D. gigas. We used the fishing data as main variable and sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS) and concentration of Chlorophyll a (Chl a) as co-variables by cokriging to analyze the spatial distribution of D. gigas abundance. The fishing data was selected from June to September during 2003 to 2012 provided by the Chinese squid-jigging technology group. To solve the weight of four different environmental factors in cokriging, they were transferred to the value between 0 and 1, then combined by principle component analysis as a single comprehensive co-variable. The relative test was taken between catch per unite fishing effort (CPUE) and the co-variable. Mean error (ME), root mean square error (RMSE) and root mean standardized squared error (RMSSE) were used to assess the predicting results to examine this method. The study results showed that (1) the comprehensive environmental factors from June to September had significant correlation with CPUE, (2) The ME were 0.002 6 and 0.002 5 respectively in June and July, which indicated that the average predicted results were higher than the objected data. However ME were -0.007 8 and -0.000 2 in August and September respectively, indicting the predicting accuracy were better and the average predicted results were lower than the objected data. The precision in June was the best, and it was lower in August. The RMSSE values in June and July were less than 1, suggesting over-valuating their uncertainty. This also indicated there were bias on the predicting precision and accuracy. In a word, from the view of ME, RMSE and RMSSE, the predicted data had a certain reliability.
- Dosidicus gigas /
- spatial distribution /
- comprehensive environmental factor /
- cokriging /
- off Peru

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参考文献(44)

陈新军, 刘必林, 王尧耕. 世界头足类[M]. 北京:海洋出版社, 2009. Chen Xinjun, Liu Bilin, Wang Yaogeng. Cephalopods of the World[M]. Beijing:China Ocean Press, 2009.

胡振明, 陈新军, 周应祺. 东南太平洋茎柔鱼渔业生物学研究进展[J]. 广东海洋大学学报, 2009, 29(3):98-102. Hu Zhenming, Chen Xinjun, Zhou Yingqi. Advances in fishery biology of Dosidicus gigas in the southeast Pacific Ocean[J]. Journal of Guangdong Ocean University, 2009, 29(3):98-102.

Tian Siquan, Chen Xinjun, Chen Yong, et al. Evaluating habitat suitability indices derived from CPUE and fishing effort data for Ommatrephes bratramii in the northwestern Pacific Ocean[J]. Fisheries Research, 2009, 95(2/3):181-188.

FAO. Fishery statistical collections:global aquaculture production[EB/OL]. http://www.fao.org/fishery/statistics/global-aquaculture-production/en,2015.

金岳, 陈新军. 利用栖息地指数模型预测秘鲁外海茎柔鱼热点区[J]. 渔业科学进展, 2014, 35(3):19-26. Jin Yue, Chen Xinjun. Forecasting hotspots of Dosidicus gigas in the offshore waters of Peru using habitat suitability model[J]. Progress in Fishery Sciences, 2014, 35(3):19-26.

胡振明, 陈新军, 周应祺, 等. 利用栖息地适宜指数分析秘鲁外海茎柔鱼渔场分布[J]. 海洋学报, 2010, 32(5):67-75. Hu Zhenming, Chen Xinjun, Zhou Yingqi, et al. Forecasting fishing ground of Dosidicus gigas based on habitat suitability index off Peru[J]. Haiyang Xuebao, 2010, 32(5):67-75.

易倩, 陈新军, 余为, 等. 基于信息增益技术比较分析智利和秘鲁外海茎柔鱼渔场环境[J]. 上海海洋大学学报, 2014, 23(2):272-278. Yi Qian, Chen Xinjun, Yu Wei, et al. A comparison of habitats of Dosidicus gigas in the fishing ground off Chile and Peru based on information gain technique[J]. Journal of Shanghai Ocean University, 2014, 23(2):272-278.

汪金涛, 高峰, 雷林, 等. 基于神经网络的东南太平洋茎柔鱼渔场预报模型的建立及解释[J]. 海洋渔业, 2014, 36(2):131-137. Wang Jintao, Gao Feng, Lei Lin, et al. Modeling of fishing grounds for Dosidicus gigas based on BP neural network in southeast Pacific[J]. Marine Fisheries, 2014, 36(2):131-137.

Tafur R, Villegas P, Rabí M, et al. Dynamics of maturation, seasonality of reproduction and spawning grounds of the jumbo squid Dosidicus gigas (Cephalopoda:Ommastrephidae) in Peruvian waters[J]. Fisheries Research, 2001, 54(1):33-50.

孙海泉, 肖革新, 郭莹, 等. 流行病生态学研究的统计分析方法[J]. 中国卫生统计, 2014, 31(2):352-356. Sun Haiquan, Xiao Gexin, Guo Ying, et al. Statistical analysis of epidemiological ecology[J]. Chinese Journal of Health Statistics, 2014, 31(2):352-356.

Conan G Y. Assessment of shellfish stocks by geostatistical techniques[J]. ICES, Shellfish Committee, 1985, K:30.

Maynou F X, Sardà F, Conan G Y. Assessment of the spatial structure and biomass evaluation of Nephrops norvegicus (L.) populations in the northwestern Mediterranean by geostatistics[J]. ICES Journal of Marine Science, 1998, 55(1):102-120.

Pelletier D, Parma A M. Spatial distribution of Pacific halibut (Hippoglossus stenolepis):an application of geostatistics to longline survey data[J]. Canadian Journal of Fisheries and Aquatic Sciences, 1994, 51(7):1506-1518.

Addis P, Secci M, Angioni A, et al. Spatial distribution patterns and population structure of the sea urchin Paracentrotus lividus (Echinodermata:Echinoidea), in the coastal fishery of western Sardinia:a geostatistical analysis[J]. Scientia Marina, 2012, 76(4):733-740.

Petitgas P. Geostatistics in fisheries survey design and stock assessment:models, variances and applications[J]. Fish and Fisheries, 2001, 2(3):231-249.

Barange M, Hampton I. Spatial structure of co-occurring anchovy and sardine populations from acoustic data:implications for survey design[J]. Fisheries Oceanography, 1997, 6(2):94-108.

Petitgas P, Levenez J J. Spatial organization of pelagic fish:echogram structure, spatio-temporal condition, and biomass in Senegalese waters[J]. ICES Journal of Marine Science, 1996, 53(2):147-153.

Rivoirard J, Simmonds J, Foote K G, et al. Geostatistics for Estimating Fish Abundance[M]. Oxford:Blackwell Science, 2008.

Simard Y, Legendre P, Lavoie G, et al. Mapping, estimating biomass, and optimizing sampling programs for spatially autocorrelated data:case study of the northern shrimp (Pandalus borealis)[J]. Canadian Journal of Fisheries and Aquatic Sciences, 1992, 49(1):32-45.

Monestieza P, Dubrocab L, Bonnin E, et al. Geostatistical modelling of spatial distribution of Balaenoptera physalus in the Northwestern Mediterranean Sea from sparse count data and heterogeneous observation efforts[J]. Ecological Modelling, 2006, 193(3/4):615-628.

冯永玖, 陈新军, 杨铭霞, 等. 基于ESDA的西北太平洋柔鱼资源空间热点区域及其变动研究[J]. 生态学报, 2014, 34(7):1841-1850. Feng Yongjiu, Chen Xinjun, Yang Mingxia, et al. An exploratory spatial data analysis-based investigation of the hot spots and variability of Ommastrephes bartramii fishery resources in the northwestern Pacific Ocean[J]. Acta Ecologica Sinica, 2014, 34(7):1841-1850.

Robinson C J, Gómez-Gutiérrez J, de León D A S. Jumbo squid (Dosidicus gigas) landings in the Gulf of California related to remotely sensed SST and concentrations of chlorophyll a (1998-2012)[J]. Fisheries Research, 2013, 137:97-103.

胡丹桂, 舒红. 基于协同克里金空气湿度空间插值研究[J]. 湖北农业科学, 2014, 53(9):2045-2049. Hu Dangui, Shu Hong. Air humidity based on CoKriging interpolation[J]. Hubei Agricultural Sciences, 2014, 53(9):2045-2049.

马孝义, 李新平, 赵延凤. 土壤含水量的Kriging和Cokriging估值研究[J]. 水土保持通报, 2001, 21(3):59-62. Ma Xiaoyi, Li Xinping, Zhao Yanfeng. Estimating of soil water content using Kriging and Cokriging methods[J]. Bulletin of Soil and Water Conservation, 2001, 21(3):59-62.

王平, 李浩, 陈帅, 等. 基于坡度的黑土区切沟密度协同克里格插值方法研究[J]. 水土保持研究, 2014, 21(6):312-317. Wang Ping, Li Hao, Chen Shuai, et al. Interpolation of permanent gully density based on slope steepness in black soil area[J]. Research of Soil and Water Conservation, 2014, 21(6):312-317.

杨奇勇, 张发旺. 西南岩溶盆地土壤干容重协同克里格分析[J]. 农业机械学报, 2015, 46(2):126-131. Yang Qiyong, Zhang Fawang. Cokriging analysis on soil bulk density in karst basin of southwest China[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(2):126-131.

孔令娜, 向南平. 基于ArcGIS的降水量空间插值方法研究[J]. 测绘与空间地理信息, 2012, 35(3):123-126. Kong Lingna, Xiang Nanping. Research on rainfall spatial interpolation methods based on Arcgis[J]. Geomatics & Spatial Information Technology, 2012, 35(3):123-126.

吴昌广, 林德生, 周志翔, 等. 三峡库区降水量的空间插值方法及时空分布[J]. 长江流域资源与环境, 2010, 19(7):752-758. Wu Changguang, Lin Desheng, Zhou Zhixiang, et al. Spatial interpolation methods and temporal spatial distribution of precipitation in the Three Gorges reservoir area[J]. Resources and Environment in the Yangtze Basin, 2010, 19(7):752-758.

方学燕, 陈新军, 丁琪. 基于栖息地指数的智利外海茎柔鱼渔场预报模型优化[J]. 广东海洋大学学报, 2014, 34(4):67-73. Fang Xueyan, Chen Xinjun, Ding Qi. Optimization fishing ground prediction models of Dosidicus gigas in the high sea off Chile based on habitat suitability index[J]. Journal of Guangdong Ocean University, 2014, 34(4):67-73.

杨铭霞, 陈新军, 冯永玖, 等. 中小尺度下西北太平洋柔鱼资源丰度的空间变异[J]. 生态学报, 2013, 33(20):6427-6435. Yang Mingxia, Chen Xinjun, Feng Yongjiu, et al. Spatial variability of small and medium scales' resource abundance of Ommastrephes bartramii in Northwest Pacific[J]. Acta Ecologica Sinica, 2013, 33(20):6427-6435.

薛毅, 陈立萍. 统计建模与R软件[M]. 北京:清华大学出版社, 2007. Xue Yi, Chen Liping. Modeling and R Software[M]. Beijing:Tsinghua University Press, 2007.

于化龙. 主成分分析应用研究综述[J]. 经营管理者, 2013(3):9-10. Yu Hualong. Review on the application of principal component analysis[J]. Manager' Journal, 2013(3):9-10.

刘爱利, 王培法, 丁园圆. 地统计学概论[M]. 北京:科学出版社, 2012. Liu Aili, Wang Peifa, Ding Yuanyuan. Introduction to Geostatistics[M]. Beijing:Science Press, 2012.

Csirke J, Alegre A, Argüelles J, et al. Main biological and fishery aspects of the jumbo squid (Dosidicus gigas) in the Peruvian Humboldt Current System[C]//3rd Meeting of the Scientific Committee of the South Pacific Regional Fisheries Management Organization. Port Vila, Vanuatu:SPRFMO, 2015.

Nigmatullin C M, Nesis K N, Arkhipkin A I. A review of the biology of the jumbo squid Dosidicus gigas (Cephalopoda:Ommastrephidae)[J]. Fisheries Research, 2001, 54(1):9-19.

Argüelles J, Lorrain A, Cherel Y, et al. Tracking habitat and resource use for the jumbo squid Dosidicus gigas:a stable isotope analysis in the Northern Humboldt Current System[J]. Marine Biology, 2012, 159(9):2105-2116.

Nigmatullin C M, Markaida U. Oocyte development, fecundity and spawning strategy of large sized jumbo squid Dosidicus gigas (Oegopsida:Ommastrephinae)[J]. Journal of the Marine Biological Association of the United Kingdom, 2009, 89(4):789-801.

Lorrain A, Argüelles J, Alegre A, et al. Sequential isotopic signature along gladius highlights contrasted individual foraging strategies of jumbo squid (Dosidicus gigas)[J]. PLoS One, 2011, 6(7):e22194.

Argüelles J, Tafur R. New insights on the biology of the jumbo squid Dosidicus gigas in the Northern Humboldt Current System:size at maturity, somatic and reproductive investment[J]. Fisheries Research, 2010, 106(2):185-192.

孙儒泳, 李庆芬, 牛翠娟, 等. 基础生态学[M]. 北京:高等教育出版社, 2002:15-42. Sun Ruyong, Li Qingfen, Niu Cuijuan, et al. Basic Ecology[M]. Beijing:Higher Education Press, 2002:15-42.

Nesis K N. Biology of the giant squid of Peru and Chile, Dosidicus gigas[J]. Oceanology, 1970, 10(1):108-118.

Mason E, Pasual A, McWillams J C. A new sea surface height-based code for oceanic Mesoscale eddy tracking[J]. Journal of Atmospheric and Oceanic Technology, 2014, 31(5):1181-1188.

Taipe A, Yamashiro C, Mariategui L, et al. Distribution and concentrations of jumbo flying squid (Dosidicus gigas) off the Peruvian coast between 1991 and 1999[J]. Fisheries Research, 2001, 54(1):21-32.

Sumfleth K, Duttmann R. Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators[J]. Ecological Indicators, 2008, 8(5):485-501.

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