We developed an approach that integrates generalized additive model(GAM) and neural network model(NNM)for projecting the distribution of Argentine shortfin squid(Illex argentinus). The data for this paper was ba...We developed an approach that integrates generalized additive model(GAM) and neural network model(NNM)for projecting the distribution of Argentine shortfin squid(Illex argentinus). The data for this paper was based on commercial fishery data and relevant remote sensing environmental data including sea surface temperature(SST), sea surface height(SSH) and chlorophyll a(Chl a) from January to June during 2003 to 2011. The GAM was used to identify the significant oceanographic variables and establish their relationships with the fishery catch per unit effort(CPUE). The NNM with the GAM identified significant variables as input vectors was used for predicting spatial distribution of CPUE. The GAM was found to explain 53.8% variances for CPUE. The spatial variables(longitude and latitude) and environmental variables(SST, SSH and Chl a) were significant. The CPUE had nonlinear relationship with SST and SSH but a linear relationship with Chl a. The NNM was found to be effective and robust in the projection with low mean square errors(MSE) and average relative variances(ARV).The integrated approach can predict the spatial distribution and explain the migration pattern of Illex argentinus in the Southwest Atlantic Ocean.展开更多
<span style="font-family:Verdana;">Chimaeras</span><span style="font-family:;" "=""><span style="font-family:Verdana;">, fish in the order Chimaerif...<span style="font-family:Verdana;">Chimaeras</span><span style="font-family:;" "=""><span style="font-family:Verdana;">, fish in the order Chimaeriformes, are among the rarest and least studied fish in the class Chondrichthyes (cartilaginous fish). Previous records have indicated that a species of chimaera known as the elephantfish, or cockfish, </span><i><span style="font-family:Verdana;">Callorhinchus callorynchus</span></i><span style="font-family:Verdana;">, may be found in marine waters off southeastern Brazil, as far north as the state of S<span style="font-size:10.0pt;font-family:"">ã</span>o Paulo. Here we report that </span><i><span style="font-family:Verdana;">C. callorynchus</span></i><span style="font-family:Verdana;">, caught with bottom gillnet, was found in an urban fish market in the city of Rio de Janeiro (~23<span style="white-space:nowrap;">˚</span>S). This and other records from a variety of places call into question the distribution limits of the American elephantfish in the southwestern Atlantic Ocean and whether, at least seasonally, this species may often be found as far north as the state of Rio de Janeiro. Because of scientific and conservation interests in the poorly known Chimaeriformes, we recommend long-term monitoring of the fish catch in ports along the southern Brazilian coast, to better understand the natural history of the intriguing chimeras.</span></span>展开更多
基金The Public Science and Technology Research Funds Projects of Ocean under contract No.20155014the National Natural Science Fundation of China under contract No.NSFC31702343
文摘We developed an approach that integrates generalized additive model(GAM) and neural network model(NNM)for projecting the distribution of Argentine shortfin squid(Illex argentinus). The data for this paper was based on commercial fishery data and relevant remote sensing environmental data including sea surface temperature(SST), sea surface height(SSH) and chlorophyll a(Chl a) from January to June during 2003 to 2011. The GAM was used to identify the significant oceanographic variables and establish their relationships with the fishery catch per unit effort(CPUE). The NNM with the GAM identified significant variables as input vectors was used for predicting spatial distribution of CPUE. The GAM was found to explain 53.8% variances for CPUE. The spatial variables(longitude and latitude) and environmental variables(SST, SSH and Chl a) were significant. The CPUE had nonlinear relationship with SST and SSH but a linear relationship with Chl a. The NNM was found to be effective and robust in the projection with low mean square errors(MSE) and average relative variances(ARV).The integrated approach can predict the spatial distribution and explain the migration pattern of Illex argentinus in the Southwest Atlantic Ocean.
文摘<span style="font-family:Verdana;">Chimaeras</span><span style="font-family:;" "=""><span style="font-family:Verdana;">, fish in the order Chimaeriformes, are among the rarest and least studied fish in the class Chondrichthyes (cartilaginous fish). Previous records have indicated that a species of chimaera known as the elephantfish, or cockfish, </span><i><span style="font-family:Verdana;">Callorhinchus callorynchus</span></i><span style="font-family:Verdana;">, may be found in marine waters off southeastern Brazil, as far north as the state of S<span style="font-size:10.0pt;font-family:"">ã</span>o Paulo. Here we report that </span><i><span style="font-family:Verdana;">C. callorynchus</span></i><span style="font-family:Verdana;">, caught with bottom gillnet, was found in an urban fish market in the city of Rio de Janeiro (~23<span style="white-space:nowrap;">˚</span>S). This and other records from a variety of places call into question the distribution limits of the American elephantfish in the southwestern Atlantic Ocean and whether, at least seasonally, this species may often be found as far north as the state of Rio de Janeiro. Because of scientific and conservation interests in the poorly known Chimaeriformes, we recommend long-term monitoring of the fish catch in ports along the southern Brazilian coast, to better understand the natural history of the intriguing chimeras.</span></span>