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Otoliths from five fish species, including Acanthopagrus latus, Daysciaena albida, Ellochelon vaigiensis, Mugil cephalus and Mystus gulio, were used to develop numerical expressions involving otolith shape indices and morphometric parameters. A total of 342 fish specimens in lagoons (24°39′ 0N, 68°50′0E) were sampled from August 2014 to July 2015. A linear model related to fish sizes, otolith sizes and weights were applied, with estimated coefficients of determinations (r2 = 0.99–0.53). Otolith shape indices, including form factor, roundness, aspect ratio, circularity, rectangularity and ellipticity for each fish species, also were analysed. The results of the present study are the first to describe relationships between otolith dimensions, fish morphometrics and shape indices of highly valued fish species and can be an important input for further trophic modelling to study food web dynamics.

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SummaryIn this paper, we document length-weight relationships (LWRs) for nine rarely occur- | MATERIALS AND METHODS This | RESULTSThe data of nine carangids used to estimate LWRs parameters such as length range, weight range, sample size (n), values of intercept, slope

Keenjhar Lake, mega storage of drinking water for the residents of Karachi metropolis, agriculture cultivation and a well‐known recreational place, has been steadily contaminated. This study was aimed to understand the level of pollution and the reasons for a decrease in fish production over the past decade based on the available datasets. Focusing on some heavy metals such as Fe, Zn, Ni, Mn, Cu, Cr, Cd and Pb, beyond limit can cause of human health risk, here we provide a critical review of the previous studies conducted to findout reasonable solutions to cope with rapid environmental changes. A multivariate approach of principal component analysis (PCA) was applied to test the relationships among physicochemical parameters in relation to the heavy metals. The first component PCI revealed 88.09%, variability in the loaded dataset and PCII II 6.05% of the total variations. A cluster analysis was established to delineate heavy metal intensity in the corresponding years. Results indicated that since 2012, there has been a steady increase in heavy metal concentration, which can subsequently pose a significant threat to human health. Therefore, it is emphasized that carcinogenic health effects of such contamination on human health need to be investigated. However, over a decade datasets can solely fill knowledge gaps associated with framework conservation and management strategies.