Multivariate techniques to Pomadasys maculatum (Bloch) of Karachi Coast, Pakistan
Paper Details
Multivariate techniques to Pomadasys maculatum (Bloch) of Karachi Coast, Pakistan
Abstract
This paper aims to investigate the variability in the morphometric and meristic characteristics in a set of fishery data by applying multivariate statistical techniques; PCA and Factor analysis. Moreover, gender-wise difference in these variables is also investigated via statistical independent t-test. Empirical analysis result obtained from t-test shows that the total length of the body in female is 8.079, whereas male has 8.054 of the whole body length. Furthermore, test of independent result of body displays that weight of female and male are 9.966 and 10.053 respectively. However, head length and snout length are found 9.143 and 10.568 in female and in male 09.145 and 10.557 respectively. To sum up, all the variables are slightly significant in both (Male and Female). In the second phase via applying PCA it is found that the first three variables (total length (TL), Body weight (Bwt), Standard length (SL)) are retained 90.047% of the total variation.
Amtyaz Khan MA, Khan MZ, Hashmi MUA. 2014. The Sex Ratio, Gonadosomatic Index & Stages of Gonadal Development of Saddle Grunt fish, Pomadasys maculatum (Bloch, 1793) of Karachi Coast, Pakistan. Canadian Journal of Pure and Applied Sciences 8(1), 2721-2726.
Bartholomew D, Knotts M, Moustaki I. 2011. Latent variable models and factor analysis: A unified approach. (3rd ed.). West Sussex, UK: John Wiley & Sons. https://doi.org/10.1002/97811199 705
Bendell BE, McNicol DK. 1987. Cyprinid assemblages, and the physical and chemical characteristics of small northern Ontario lakes. Environmental Biology of Fishes 19, 229-234. https://doi.org/10.1007/BF00005352
Branch GM, Griffiths CL, Branch ML, Beckley LE. 2000. Two Oceans: A guide to the marine life of southern Africa. 5th impression, David Philip, Cape Town. ISBN 0-86486-250-4.
Cattell RB. 1978. The scientific use of factor analysis in behavioral and life sciences. New York, NY: Plenum Press. https://doi.org/10.1007/978-1-4684-7
Costello AB, Osborne JW. 2005. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation 10(7), 1-9.
DeCoster J. 1998. Overview of factor analysis. Retrieved March 22, 2012 from http://www.stat-help.com/notes.html
Ed Smith, Margaret M, Heemstra P. 2003. Smith’s sea fishes. South African Institute for Aquatic Biodiversity, Grahamstown. Struik publishers, Cape.
Field A. 2009. Discovering Statistics Using SPSS: Introducing Statistical Method (3rd Ed.). Thousand Oaks, CA: Sage Publications.
Gauch HG, Jr. 1982. Multivariate Analysis in Community Structure. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO978623332
Hughes RM, Gammon JR. 1987. Longitudinal changes in fish assemblages and water quality in the Willamette River, Oregon. Transactions of the American Fisheries Society 116, 196-209.https:// doi.org/10.1577/1548-8659(1987)116<196:LCIF CO;2
Jackson DA, Harvey HH. 1989. Biogeographic associations in fish assemblages: local vs. regional processes. Ecology 70, 1472-1484. https://doi.org/ 10.2307/1938206
Jackson JE. 1981. “Principal Components and Factor Analysis: Part III—What Is Factor Analysis?” Journal of Quality Technology 13(2), 125-130. https://doi.org/10.1080/00224065.1981.11981002
Jackson JE. 1991. A User’s Guide to Principal Components, New York: John Wiley & Sons. https://doi.org/10.1002/0471725331
Khan MA, Amtyaz & Siddique S. 2013. Length-Weight relationship of Pomadasys maculatum (BLOCH, 1797) From Karachi Coast Pakistan. International Journal of biology and biotechnology 10(3), 471-474.
Meffe GK, Sheldon AL. 1988. The influence of habitat structure on fish assemblage composition in southeastern Blackwater streams. The American Midland Naturalist 120, 225-240. https://doi.org/ 10.2307/2425994
Morsy MA. 1993. An example of application of factor analysis on geochemical stream sediment survey in Umm Khariga area, Eastern Desert, Egypt. Math Geol 25(7), 833-850. https://doi.org/10.1007/
Oberdorff T, Guilbert E, Lucchetta J. 1993. Patterns of fish species richness in the Seine River basin, France. Hydrobiologia 259, 157-167. https://doi.org/10.1007/BF00006595
Pusey BJ, Arthington AH, Read MG. 1995. Species richness and spatial variation in fish assemblage structure in two rivers of the Wet Tropics of northern Queensland, Australia. Environmental Biology of Fishes 42, 181-199. https://doi.org/.1007
Saager R, Esselaar PA. 1969. Factor analysis of geochemical data from the basal reef, Orange Free State Goldfield, South Africa. Econ Geol 64(4), 441-445. https://doi.org/10.2113/gsecongeo.64.4.445
Shahla & Samreen Fatima. 2019. Assessment of morphometric and meristic characteristics of Pomadasys maclatum of Karachi coast. International Journal of Biosciences 14(6), 383-388.
Smith MM, Heemstra PC. 1986. Smith Sea Fishes. Springer-Verlag, New York, Berlin Heidelberg 1047. https://doi.org/10.1007/978-3-642-82858-4
Stevenson MM, Schnell GD, Black R. 1974. Factor analysis of fish distribution patterns in western and central Oklahoma. Systematic Zoology 23, 202-218. https://doi.org/10.2307/2412132
Voudouris KS, Lambrakis NJ, Papatheodorou G, Daskalaki P. 1997. An application of factor analysis for the study of the hydrogeological conditions in Plio-Pleistocene aquifers of NW Achaia (NW Peloponnesus, Greece). Math Geo 29(1), 43-59. https://doi.org/10.1007/BF02769619
Shahla Siddiqui, Samreen Fatima (2020), Multivariate techniques to Pomadasys maculatum (Bloch) of Karachi Coast, Pakistan; JBES, V17, N1, July, P85-92
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