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<records>
<record>
<title>Bayesian correlational analysis of conchological features and 
physicochemical parameters of the golden apple snail (Pomacea 
canaliculata [Lamarck, 1822]) in rice fields of Davao City, Mindanao, 
Philippines</title>
<authors>
<author>Paul Dave C. Panzo</author>
<author>Alma B. Mohagan</author>
</authors>
<affiliations>
<affiliation>
Animal Biology Division, Institute of Biological Sciences, Central Mindanao University, Maramag 8714, Philippines
</affiliation>
</affiliations>
<journal>Proceedings of the International Academy of Ecology and Environmental Sciences</journal>
<issn>ISSN 2220-8860</issn>
<homepage>http://www.iaees.org/publications/journals/piaees/online-version.asp</homepage>
<year>2025</year>
<volume>15</volume>
<issue>4</issue>
<startpage>102</startpage>
<endpage>113</endpage>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<location>Hong Kong</location>
<date>
<received>7 April 2025</received>
<accepted>15 May 2025</accepted>
<published>1 December 2025</published>
</date>
<keywords>
<keyword>Bayesian correlation analysis</keyword>
<keyword>golden apple snails</keyword>
<keyword>physicochemical parameters</keyword>
<keyword>rice fields</keyword>
<keyword>conchological features</keyword>
</keywords>
<abstract>
This study investigates the correlations between various physicochemical parameters and the shell characteristics of Pomacea canaliculata, an invasive species, in selected rice fields of Davao City (Buhangin, Tugbok, and Calinan). Specimens were collected through handpicking, with a total of 30 individuals randomly selected from each site. The lower size limit for collection was set at 3.5 cm to exclude juveniles. The analysis revealed strong, and in some cases perfect, correlations between environmental variables and shell morphometry, with Pearson's r consistently showing robust results, supported by anecdotal evidence from Bayes factors. Perfect correlations, indicated by Kendall's Tau-b values, were associated with infinite Bayes factors, further strengthening the observed relationships. These findings emphasize the significant impact of water quality on shell morphometry, suggesting important ecological implications for habitat suitability and species adaptation. Given the invasive nature of Pomacea canaliculata, these results provide insights into its adaptation strategies in novel environments, which may inform management efforts to control its spread
</abstract>
<url>http://www.iaees.org/publications/journals/piaees/articles/2025-15(4)/Bayesian-correlational-analysis.pdf</url>
</record>
</records>
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