Juniper Publishers-Oceanography Open Access Journal

  Juniper Publishers -  Journal of Oceanography Abstract Pakistani fisheries sector is a victim of “the tragedy of the commons”. This sector performance matches with the description of Gordon-Schaefer Model. Therefore, in this study maximum economic harvest levels of  B. spirata  from Sindh, Pakistan are estimated by using maximum sustainable yield (MSY) proxy for maximum economic yield (MEY). For this purpose, fishery input (effort) and fishery output (catch) data of  B. spirata  is analyzed by using two specialized fishery software CEDA (catch and effort data analysis) and ASPIC (a stock production model incorporating covariates). Three surplus production models viz. Fox Model, Schaefer Model and Pella-Tomlinson Model were used in CEDA along with three error assumptions viz. normal error assumption, log normal error assumption and gamma error assumption. Whereas, in ASPIC two surplus production models viz. Fox Model and Logistic Model were employed for da...

  Juniper Publishers -  Journal of Oceanography Abstract This mini review describes the development of an acoustic tag for long-range (tens to hundreds of kilometers) tracking of small fishes or other marine animals. Tracking is achieved by standard RAFOS triangulation using the arrival times of unique sound signals emitted by moored sources. The tag also records temperature and pressure. All functions of the tag are controlled by an application specific microchip. The collected acoustic and sensor data are stored in a non-volatile memory. A cylindrical hydrophone of 25.4mm length and 10.7mm diameter also serves as housing for all electronic components. Power is provided by 2 button cell batteries, which enable an active tag lifetime of approximately two years. Go to Introduction Much has been learned about the behavior of fishes during the past few decades through various kinds of data storage tags (DSTs), which were attached either externally to the back of the fish, or subc...

  Juniper Publishers -  Journal of Oceanography Abstract At present, the World experiencing a high level of pollution due to anthropogenic activity and increasing Carbon Dioxode (CO 2 ) level in the atmosphere, which resulted in the global climate change and global warming. The world population is increasing at the same time the technology has also developed. Various anthropogenic activities cause a major impact of rising temperature in the atmosphere. The researchers are focusing on the biological ways to reduce CO 2  in the atmosphere and suggested that marine microalgae is the most promising approach to capture the CO 2  in the atmosphere and microalgae have the potential to utilize CO 2  as a carbon source for growth. The microalgae biofixation process is the main concept of sequestration. This article discusses that CO 2  capture by microalgae is a most preferable method compared to employing other terrestrial plants for carbon capture. Keywords: ...

  Juniper Publishers -  Journal of Oceanography Abstract The knowledge of ocean waves is an essential prerequisite for almost all activities in ocean. Traditional methods have disadvantages of excessive data requirement, time consumption and are tedious to carry out. ANN is being widely applied in coastal engineering field since last two decades in variety of time series forecasting. Study has been carried out to predict waves using FFBP and NARX networks. Wave data obtained from INCOIS is made use in the present study. Effect of network architecture on the performance of the model has been studied. It was found that for time series prediction NARX network outperforms FFBP. Keywords:  Artificial neural network; Feed forward back propagation network; Non-linear auto regressive with exogenous input; Coastal engineering Go to Introduction Accurate forecasting of wave characteristics is important for many coastal and marine activities. Different methods have been developed fo...