基于单位补充量模型的西江赤眼鳟种群资源利用现状评价
|
摘要
赤眼鳟(Squaliobarbus curriculus)是珠江中下游最重要的经济鱼类之一,本研究利用2009—2014年西江肇庆江段渔业捕捞调查监测数据,分析了其生长和死亡参数历史变化,利用单位补充量渔获量(yieldperrecruitment,YPR)模型、单位补充量产卵群体生物量(spawning biomass per recruitment, SBR)和生物学参考点评估了赤眼鳟资源利用状况。结果表明,赤眼鳟体长(L)和体重(W)关系为W=2×10~(-5)L~(2.9527)(R~2=0.9595,n=2346),生长方程为L_t=725.802[1-e~(-0.110(t+0.613))]。目前西江的捕捞强度(F=0.96/a)和开发状况(E=0.86)远超种群可持续开发水平,赤眼鳟种群处于生长型捕捞过度状态。根据实际情况,建议将西江赤眼鳟开捕年龄提高至3龄(或开捕体长增大至238 mm),则预计单位补充量渔获量可增加175%,在珠江禁渔期制度的协同保护下,种群实际保护效果可能更好。
The Pearl River, the largest river in southern China, historically harbors abundant fishery resources. However, the fishery resources have severely declined in recent decades owning to dam cascade development, overfishing, water pollution, and so on. Therefore, it is necessary to evaluate fishery resource utilization and exploitation, which provides scientific guidance for fishery resource conservation in the Pearl River. Generally, the per recruitment model has been widely applied to the dynamics of single fish populations. The per recruitment models mainly consist of the yield per recruitment model(YPR) and the spawning biomass per recruitment models(SBR). The YPR model prevents overgrowth overfishing and is usually used to determine the fishery management parameters(e.g. mesh size and catch rate). This model could provide management guidance for the development and utilization of fish stocks. The spawning biomass per recruitment model prevents supplemental overfishing. This model is utilized to assess whether parental biological residues and spawning stock are sufficient to maintain the stock of larvae supplementation, and then it estimates the status of resource utilization. The barbel chub(Squaliobarbus curriculus) is an important economic fish inhabiting the middle and lower reaches of the Pearl River. An assessment of the current status of S. curriculus utilization is important for reasonable resource exploitation and maintenance. The data of the present study were collected in the Zhaoqing section of the Xijiang River(an important stem of the Pearl River) between 2009 and 2014. We analyzed the growth and mortality characteristic parameters and evaluated the resource exploitation status by the YPR model, SBR model, and biological reference points. The relationship between standard length and weight was expressed as: W=2×10~(-5)L~(2.9527)(R~2=0.9595, n=2346). The von Bertalanffy growth equation was selected as the optimal growth model and was expressed as L_t=725.802[1-e~(-0.110(t+0.613))]. The present fishing intensity(F_(ave)=0.96/a) and exploitation rate(E=0.86) have far exceeded the level of sustainable population development. The stock of S. curriculus was overfished in its vegetative form. We suggest to increase the catch age to 3 years old(or to a standard length of 238 mm) for the stock conservation of S. curriculus in the Xijiang River; the yield per recruitment could thus be increased by 175%. The protective efficacy could increase with a fishing moratorium in the Pearl River, and relevant fishery management measurements should be improved at the same time.
The Pearl River, the largest river in southern China, historically harbors abundant fishery resources. However, the fishery resources have severely declined in recent decades owning to dam cascade development, overfishing, water pollution, and so on. Therefore, it is necessary to evaluate fishery resource utilization and exploitation, which provides scientific guidance for fishery resource conservation in the Pearl River. Generally, the per recruitment model has been widely applied to the dynamics of single fish populations. The per recruitment models mainly consist of the yield per recruitment model(YPR) and the spawning biomass per recruitment models(SBR). The YPR model prevents overgrowth overfishing and is usually used to determine the fishery management parameters(e.g. mesh size and catch rate). This model could provide management guidance for the development and utilization of fish stocks. The spawning biomass per recruitment model prevents supplemental overfishing. This model is utilized to assess whether parental biological residues and spawning stock are sufficient to maintain the stock of larvae supplementation, and then it estimates the status of resource utilization. The barbel chub(Squaliobarbus curriculus) is an important economic fish inhabiting the middle and lower reaches of the Pearl River. An assessment of the current status of S. curriculus utilization is important for reasonable resource exploitation and maintenance. The data of the present study were collected in the Zhaoqing section of the Xijiang River(an important stem of the Pearl River) between 2009 and 2014. We analyzed the growth and mortality characteristic parameters and evaluated the resource exploitation status by the YPR model, SBR model, and biological reference points. The relationship between standard length and weight was expressed as: W=2×10~(-5)L~(2.9527)(R~2=0.9595, n=2346). The von Bertalanffy growth equation was selected as the optimal growth model and was expressed as L_t=725.802[1-e~(-0.110(t+0.613))]. The present fishing intensity(F_(ave)=0.96/a) and exploitation rate(E=0.86) have far exceeded the level of sustainable population development. The stock of S. curriculus was overfished in its vegetative form. We suggest to increase the catch age to 3 years old(or to a standard length of 238 mm) for the stock conservation of S. curriculus in the Xijiang River; the yield per recruitment could thus be increased by 175%. The protective efficacy could increase with a fishing moratorium in the Pearl River, and relevant fishery management measurements should be improved at the same time.
引文
[1]Pan J H.The Freshwater Fishes of Guangdong Province[M].Guangzhou:Guangdong Science and Technology Press,1991:84-85.[潘炯华.广东淡水鱼类志[M].广州:广东科技出版社,1991:84-85.]
[2]Zhu S L,Li X H,Li Y F,et al.Age and growth of Spualiobarbus curriculus from Zhaoqing Guangdong section of Xijiang River[J].South China Fisheries Science,2013,9(2):27-31.[朱书礼,李新辉,李跃飞,等.西江广东肇庆段赤眼鳟的年龄鉴定及生长研究[J].南方水产科学,2013,9(2):27-31.]
[3]Lu K X.Pearl River Water System of Fishery Resources[M].Guangzhou:Guangdong Science and Technology Press,1988:139-143.[陆奎贤.珠江水系渔业资源[M].广州:广东科技出版社,1988:139-143.]
[4]Guo L L,Yan Y Z,Xi Y L.Age and growth of Squaliobarbus curriculus(Richiardoson)in Wuhu reach of Yangtze River[J].Acta Hydrobiologica Sinica,2009,33(1):130-135.[郭丽丽,严云志,席贻龙.长江芜湖段赤眼鳟的年龄与生长[J].水生生物学报,2009,33(1):130-135.]
[5]Liu Q L,Xiao T Y,Liu M,et al.Reserach progress of biology in Spualiobarbus curriculus[J].Fisheries Science,2012,31(11):687-691.[刘巧林,肖调义,刘敏,等.赤眼鳟生物学研究进展[J].水产科学,2012,31(11):687-691.]
[6]Long G H,Lin G,Hu D S,et al.The reproductive biology of barble chub[J].Chinese Journal of Zoology,2005,40(5):28-36.[龙光华,林岗,胡大胜,等.赤眼鳟的繁殖生物学[J].动物学杂志,2005,40(5):28-36.]
[7]Li J,Li X H,Jia X P,et al.Evolvement and diversity of fish community in Xijiang River[J].Journal of Fishery Sciences of China,2010,17(2):298-311.[李捷,李新辉,贾晓平,等.西江鱼类群落多样性及其演变[J].中国水产科学,2010,17(2):298-311.]
[8]Li Y F,Li X H,Tan X C,et al.Fishery resources status and changes in Zhaoqing section of Xijiang River[J].Reservoir Fisheries,2008,28(2):80-83.[李跃飞,李新辉,谭细畅,等.西江肇庆江段渔业资源现状及其变化[J].水利渔业,2008,28(2):80-83.]
[9]Chen F C.Study on diversity of Spualiobarbus curriculus populations in the Xijiang River[D].Shanghai:Shanghai Ocean University,2014.[陈方灿.西江赤眼鳟群体多样性研究[D].上海:上海海洋大学,2014.]
[10]Ye Y.Water quality actuality of the Xijiang River basin and change tendency in 2005-2014[J].Guangdong Water Resources And Hydropower,2016(8):18-22.[叶雅.西江流域水质现状及2005-2014年水质变化趋势分析[J].广东水利水电,2016(8):18-22.]
[11]Li Y F,Li X H,Yang J P,et al.Status of Elopichthys bambusa recruitment stock after the impoundment of Changzhou hydro-junction in Pearl River[J].Journal of Lake Sciences,2015,27(5):917-924.[李跃飞,李新辉,杨计平,等.珠江干流长洲水利枢纽蓄水后珠江鳡鱼(Elopichthys bambusa)早期资源现状[J].湖泊科学,2015,27(5):917-924.]
[12]Li J,Li X H,Tan X C,et al.Species diversity of fish community of provincial Xijiang River rare fishes natural reserve in Zhaoqing City,Guangdong Province[J].Journal of Lake Sciences,2009,21(4):556-562.[李捷,李新辉,谭细畅,等.广东肇庆西江珍稀鱼类省级自然保护区鱼类多样性[J].湖泊科学,2009,21(4):556-562.]
[13]Zhan B Y.Fish Stock Assessment[M].Beijing:China Agriculture Press,1995:121-166.[詹秉义.渔业资源评估[M].北京:中国农业出版社,1995:121-166.]
[14]Beverton R J H,Holt S J.On the Dynamics of Exploited Fish Populations[M].London:Springer Science and Business Media,1957.
[15]Baelde P.Growth,mortality and yield-per-recruit of deep-water royal red prawns(Haliporoides sibogae)off eastern Australia,using the length-based MULTIFANmethod[J].Marine Biology,1994,118(4):617-625.
[16]Die D J,Caddy J F.Sustainable yield indicators from biomass:are there appropriate reference points for use in tropical fisheries?[J].Fisheries Research,2015,32(1):69-79.
[17]Sun C L,Wang S P,Porch C E,et al.Sex-specific yield per recruit and spawning stock biomass per recruit for the Swordfish,Xiphias gladius,in the waters around Taiwan[J].Fisheries Research,2005,71(1):61-69.
[18]Ottersen G,Sundby S.Effects of temperature,wind and spawning stock biomass on recruitment of Arcto-Norwegian cod[J].Fisheries Oceanography,2010,4(4):278-292.
[19]Sakuramoto K.Case study:A simulation model of the spawning stock biomass of Pacific bluefin tuna and evaluation of fisheries regulations[J].American Journal of Climate Change,2016,5(2):Article ID 67721.
[20]Boreman J.Sensitivity of North American sturgeons and paddlefish to fishing mortality[J].Environmental Biology of Fishes,1997,48(1-4):399-405.
[21]Dippold D A,Leaf R T,Peterson M S.Evaluating management regimes using per-recruit models and relative stock density for mississippi’s spotted seatrout[J].North American Journal of Fisheries Management,2016,36(5):1178-1189.
[22]Liu K,Jing L,Chen Y J,et al.Growth and mortality of topmouth gudgeon Pseudorasbora parva and evaluation on resource utilization in Taihu Lake[J].Journal of Dalian Ocean University,2016,31(4):368-373.[刘凯,景丽,陈永进,等.太湖麦穗鱼生长、死亡和利用状况评估[J].大连海洋大学学报,2016,31(4):368-373.]
[23]Goodyear C P.Spawning Stock Biomass per Recruit in Fisheries Management:Foundation and Current Use[M].Canadian Special Publication of Fisheries and Aquatic Sciences,2003,120:67-81.
[24]Deriso R B.Optimal F0.1 criteria and their relationship to maximum sustainable yield[J].Canadian Journal of Fisheries and Aquatic Sciences,1987,44(2):339-348.
[25]Saila S B.Quantitative fisheries stock assessment:choice,dynamics and uncertainty[J].Quarterly Review of Biology,1992,2(2):177-178.
[26]Tong Y H,Chen X J,Tian S Q,et al.Theory and application of biological reference points in fisheries management[J].Journal of Fisheries of China,2010,34(7):1040-1050.[童玉和,陈新军,田思泉,等.渔业管理中生物学参考点的理论及其应用[J].水产学报,2010,34(7):1040-1050.]
[27]Xu H L,Chen X J,Chen Y,et al.Impacts of mortality factors and uncertainty on the population and biological reference points in stock Chinese shrimp fishery[J].Journal of Fisheries of China,2016,40(5):721-730.[徐海龙,陈新军,陈勇,等.死亡因素对放流明对虾群体资源变动及生物学参考点影响的量化评估[J].水产学报,2016,40(5):721-730.]
[28]Cao S P.Estimations of biological reference points and the application of them in the stock assessment of the hairtail(Trichiurus haumela)fishery in the East China Sea[D].Qingdao:Ocean University of China,2007.[曹少鹏.渔业生物学参考点的估算及其在东海带鱼(Trichiurus haumela)资源评估中的应用[D].青岛:中国海洋大学,2007.]
[29]Luo Y,Du H W,Xuan Y B,et al.Spatial registration of different sensors using maximum likelihood method[J].Electronics Optics&Control,2009,16(5):78-80,85.[罗艺,杜海文,轩永波,等.基于极大似然法的异类传感器配准方法研究[J].电光与控制,2009,16(5):78-80,85.]
[30]Wang Y,Liu Q.Comparison of akaike information criterion(AIC)and bayesian information criterion(BIC)in selection of stock-recruitment relationships[J].Fisheries Research,2006,77(2):220-225.
[31]Hou G,Zhu L X,Lu H S.Growth,mortality and population composition of crimson sea bream,Paragyrops edita Tanaka in Beibu Gulf[J].Journal of Guangdong Ocean University,2008,28(3):50-55.[侯刚,朱立新,卢伙胜.北部湾二长棘鲷生长、死亡及其群体组成[J].广东海洋大学学报,2008,28(3):50-55.]
[32]Bozdogan H.Model selection and akaike’s information criterion(AIC):the general theory and its analytical extensions[J].Psychometrika,1987,52(3):345-370.
[33]Fei H N,Zhang S Q.Aquatic Resources[M].Beijing:Science and Technology of China Press,1990:303-305.[费鸿年,张诗全,水产资源学[M].北京:中国科学技术出版社,1990:303-305.]
[34]Pauly D.On the interrelationships between natural mortality,growth parameters and mean environmental temperature in175 fish stocks[J].ICES Journal of Marine Science,1980,39(2):175-192.
[35]Jiao Y,Chen Y,Wroblewski J.An application of the composite risk assessment method in assessing fisheries stock status[J].Fisheries Research,2005,72(2):173-183.
[36]Chen Z Z,Kong X L,Xu S N,et al.Dynamic changes of population parameters of Nemipterus bathybius in the Beibu Gulf[J].Journal of Fisheries of China,2012,36(4):584-591.[陈作志,孔啸兰,徐姗楠,等.北部湾深水金线鱼种群参数的动态变化[J].水产学报,2012,36(4):584-591.]
[37]Grabowski R,Chen Y.Incorporating uncertainty into the estimation of the biological reference points F0.1 and Fmax for the Maine green sea urchin(Strongylocentrotus droebachiensis)fishery[J].Fisheries Research,2004,68(1-3):367-371.
[38]Cao S P,Liu Q.Stock assessment of the hairtail(Trichiurus haumela)fishery in the East China Sea by incorporating uncertainty into the estimation of the biological reference points F0.1 and Fmax[J].South China Fisheries Science,2007,3(2):42-48.[曹少鹏,刘群.把不确定性引入生物学参考点F0.1和Fmax的估计以评估东海带鱼渔业资源[J].南方水产科学,2007,3(2):42-48.]
[39]Zhu L X,Li L F,Liang Z L.A simulation study of impacts of uncertainty on the assessment of the crimson sea bream(Paragyrops edita)fishery in Beibu Gulf[J].Journal of Guangdong Ocean University,2009,29(1):36-43.[朱立新,李丽芳,梁振林.不确定性对北部湾二长棘鲷渔业资源评估影响的模拟研究[J].广东海洋大学学报,2009,29(1):36-43.]
[40]Gao X,Tan D Q,Liu H Z,et al.Exploitation status and conservation of a population of Megalobrama pellegrini in Longxi River in the upper Yangtze River basin[J].Sichuan Journal of Zoology,2009,28(3):329-333.[高欣,谭德清,刘焕章,等.长江上游龙溪河厚颌鲂种群资源的利用现状和保护[J].四川动物,2009,28(3):329-333.]
[2]Zhu S L,Li X H,Li Y F,et al.Age and growth of Spualiobarbus curriculus from Zhaoqing Guangdong section of Xijiang River[J].South China Fisheries Science,2013,9(2):27-31.[朱书礼,李新辉,李跃飞,等.西江广东肇庆段赤眼鳟的年龄鉴定及生长研究[J].南方水产科学,2013,9(2):27-31.]
[3]Lu K X.Pearl River Water System of Fishery Resources[M].Guangzhou:Guangdong Science and Technology Press,1988:139-143.[陆奎贤.珠江水系渔业资源[M].广州:广东科技出版社,1988:139-143.]
[4]Guo L L,Yan Y Z,Xi Y L.Age and growth of Squaliobarbus curriculus(Richiardoson)in Wuhu reach of Yangtze River[J].Acta Hydrobiologica Sinica,2009,33(1):130-135.[郭丽丽,严云志,席贻龙.长江芜湖段赤眼鳟的年龄与生长[J].水生生物学报,2009,33(1):130-135.]
[5]Liu Q L,Xiao T Y,Liu M,et al.Reserach progress of biology in Spualiobarbus curriculus[J].Fisheries Science,2012,31(11):687-691.[刘巧林,肖调义,刘敏,等.赤眼鳟生物学研究进展[J].水产科学,2012,31(11):687-691.]
[6]Long G H,Lin G,Hu D S,et al.The reproductive biology of barble chub[J].Chinese Journal of Zoology,2005,40(5):28-36.[龙光华,林岗,胡大胜,等.赤眼鳟的繁殖生物学[J].动物学杂志,2005,40(5):28-36.]
[7]Li J,Li X H,Jia X P,et al.Evolvement and diversity of fish community in Xijiang River[J].Journal of Fishery Sciences of China,2010,17(2):298-311.[李捷,李新辉,贾晓平,等.西江鱼类群落多样性及其演变[J].中国水产科学,2010,17(2):298-311.]
[8]Li Y F,Li X H,Tan X C,et al.Fishery resources status and changes in Zhaoqing section of Xijiang River[J].Reservoir Fisheries,2008,28(2):80-83.[李跃飞,李新辉,谭细畅,等.西江肇庆江段渔业资源现状及其变化[J].水利渔业,2008,28(2):80-83.]
[9]Chen F C.Study on diversity of Spualiobarbus curriculus populations in the Xijiang River[D].Shanghai:Shanghai Ocean University,2014.[陈方灿.西江赤眼鳟群体多样性研究[D].上海:上海海洋大学,2014.]
[10]Ye Y.Water quality actuality of the Xijiang River basin and change tendency in 2005-2014[J].Guangdong Water Resources And Hydropower,2016(8):18-22.[叶雅.西江流域水质现状及2005-2014年水质变化趋势分析[J].广东水利水电,2016(8):18-22.]
[11]Li Y F,Li X H,Yang J P,et al.Status of Elopichthys bambusa recruitment stock after the impoundment of Changzhou hydro-junction in Pearl River[J].Journal of Lake Sciences,2015,27(5):917-924.[李跃飞,李新辉,杨计平,等.珠江干流长洲水利枢纽蓄水后珠江鳡鱼(Elopichthys bambusa)早期资源现状[J].湖泊科学,2015,27(5):917-924.]
[12]Li J,Li X H,Tan X C,et al.Species diversity of fish community of provincial Xijiang River rare fishes natural reserve in Zhaoqing City,Guangdong Province[J].Journal of Lake Sciences,2009,21(4):556-562.[李捷,李新辉,谭细畅,等.广东肇庆西江珍稀鱼类省级自然保护区鱼类多样性[J].湖泊科学,2009,21(4):556-562.]
[13]Zhan B Y.Fish Stock Assessment[M].Beijing:China Agriculture Press,1995:121-166.[詹秉义.渔业资源评估[M].北京:中国农业出版社,1995:121-166.]
[14]Beverton R J H,Holt S J.On the Dynamics of Exploited Fish Populations[M].London:Springer Science and Business Media,1957.
[15]Baelde P.Growth,mortality and yield-per-recruit of deep-water royal red prawns(Haliporoides sibogae)off eastern Australia,using the length-based MULTIFANmethod[J].Marine Biology,1994,118(4):617-625.
[16]Die D J,Caddy J F.Sustainable yield indicators from biomass:are there appropriate reference points for use in tropical fisheries?[J].Fisheries Research,2015,32(1):69-79.
[17]Sun C L,Wang S P,Porch C E,et al.Sex-specific yield per recruit and spawning stock biomass per recruit for the Swordfish,Xiphias gladius,in the waters around Taiwan[J].Fisheries Research,2005,71(1):61-69.
[18]Ottersen G,Sundby S.Effects of temperature,wind and spawning stock biomass on recruitment of Arcto-Norwegian cod[J].Fisheries Oceanography,2010,4(4):278-292.
[19]Sakuramoto K.Case study:A simulation model of the spawning stock biomass of Pacific bluefin tuna and evaluation of fisheries regulations[J].American Journal of Climate Change,2016,5(2):Article ID 67721.
[20]Boreman J.Sensitivity of North American sturgeons and paddlefish to fishing mortality[J].Environmental Biology of Fishes,1997,48(1-4):399-405.
[21]Dippold D A,Leaf R T,Peterson M S.Evaluating management regimes using per-recruit models and relative stock density for mississippi’s spotted seatrout[J].North American Journal of Fisheries Management,2016,36(5):1178-1189.
[22]Liu K,Jing L,Chen Y J,et al.Growth and mortality of topmouth gudgeon Pseudorasbora parva and evaluation on resource utilization in Taihu Lake[J].Journal of Dalian Ocean University,2016,31(4):368-373.[刘凯,景丽,陈永进,等.太湖麦穗鱼生长、死亡和利用状况评估[J].大连海洋大学学报,2016,31(4):368-373.]
[23]Goodyear C P.Spawning Stock Biomass per Recruit in Fisheries Management:Foundation and Current Use[M].Canadian Special Publication of Fisheries and Aquatic Sciences,2003,120:67-81.
[24]Deriso R B.Optimal F0.1 criteria and their relationship to maximum sustainable yield[J].Canadian Journal of Fisheries and Aquatic Sciences,1987,44(2):339-348.
[25]Saila S B.Quantitative fisheries stock assessment:choice,dynamics and uncertainty[J].Quarterly Review of Biology,1992,2(2):177-178.
[26]Tong Y H,Chen X J,Tian S Q,et al.Theory and application of biological reference points in fisheries management[J].Journal of Fisheries of China,2010,34(7):1040-1050.[童玉和,陈新军,田思泉,等.渔业管理中生物学参考点的理论及其应用[J].水产学报,2010,34(7):1040-1050.]
[27]Xu H L,Chen X J,Chen Y,et al.Impacts of mortality factors and uncertainty on the population and biological reference points in stock Chinese shrimp fishery[J].Journal of Fisheries of China,2016,40(5):721-730.[徐海龙,陈新军,陈勇,等.死亡因素对放流明对虾群体资源变动及生物学参考点影响的量化评估[J].水产学报,2016,40(5):721-730.]
[28]Cao S P.Estimations of biological reference points and the application of them in the stock assessment of the hairtail(Trichiurus haumela)fishery in the East China Sea[D].Qingdao:Ocean University of China,2007.[曹少鹏.渔业生物学参考点的估算及其在东海带鱼(Trichiurus haumela)资源评估中的应用[D].青岛:中国海洋大学,2007.]
[29]Luo Y,Du H W,Xuan Y B,et al.Spatial registration of different sensors using maximum likelihood method[J].Electronics Optics&Control,2009,16(5):78-80,85.[罗艺,杜海文,轩永波,等.基于极大似然法的异类传感器配准方法研究[J].电光与控制,2009,16(5):78-80,85.]
[30]Wang Y,Liu Q.Comparison of akaike information criterion(AIC)and bayesian information criterion(BIC)in selection of stock-recruitment relationships[J].Fisheries Research,2006,77(2):220-225.
[31]Hou G,Zhu L X,Lu H S.Growth,mortality and population composition of crimson sea bream,Paragyrops edita Tanaka in Beibu Gulf[J].Journal of Guangdong Ocean University,2008,28(3):50-55.[侯刚,朱立新,卢伙胜.北部湾二长棘鲷生长、死亡及其群体组成[J].广东海洋大学学报,2008,28(3):50-55.]
[32]Bozdogan H.Model selection and akaike’s information criterion(AIC):the general theory and its analytical extensions[J].Psychometrika,1987,52(3):345-370.
[33]Fei H N,Zhang S Q.Aquatic Resources[M].Beijing:Science and Technology of China Press,1990:303-305.[费鸿年,张诗全,水产资源学[M].北京:中国科学技术出版社,1990:303-305.]
[34]Pauly D.On the interrelationships between natural mortality,growth parameters and mean environmental temperature in175 fish stocks[J].ICES Journal of Marine Science,1980,39(2):175-192.
[35]Jiao Y,Chen Y,Wroblewski J.An application of the composite risk assessment method in assessing fisheries stock status[J].Fisheries Research,2005,72(2):173-183.
[36]Chen Z Z,Kong X L,Xu S N,et al.Dynamic changes of population parameters of Nemipterus bathybius in the Beibu Gulf[J].Journal of Fisheries of China,2012,36(4):584-591.[陈作志,孔啸兰,徐姗楠,等.北部湾深水金线鱼种群参数的动态变化[J].水产学报,2012,36(4):584-591.]
[37]Grabowski R,Chen Y.Incorporating uncertainty into the estimation of the biological reference points F0.1 and Fmax for the Maine green sea urchin(Strongylocentrotus droebachiensis)fishery[J].Fisheries Research,2004,68(1-3):367-371.
[38]Cao S P,Liu Q.Stock assessment of the hairtail(Trichiurus haumela)fishery in the East China Sea by incorporating uncertainty into the estimation of the biological reference points F0.1 and Fmax[J].South China Fisheries Science,2007,3(2):42-48.[曹少鹏,刘群.把不确定性引入生物学参考点F0.1和Fmax的估计以评估东海带鱼渔业资源[J].南方水产科学,2007,3(2):42-48.]
[39]Zhu L X,Li L F,Liang Z L.A simulation study of impacts of uncertainty on the assessment of the crimson sea bream(Paragyrops edita)fishery in Beibu Gulf[J].Journal of Guangdong Ocean University,2009,29(1):36-43.[朱立新,李丽芳,梁振林.不确定性对北部湾二长棘鲷渔业资源评估影响的模拟研究[J].广东海洋大学学报,2009,29(1):36-43.]
[40]Gao X,Tan D Q,Liu H Z,et al.Exploitation status and conservation of a population of Megalobrama pellegrini in Longxi River in the upper Yangtze River basin[J].Sichuan Journal of Zoology,2009,28(3):329-333.[高欣,谭德清,刘焕章,等.长江上游龙溪河厚颌鲂种群资源的利用现状和保护[J].四川动物,2009,28(3):329-333.]