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Proceedings of the International Academy of Ecology and Environmental Sciences, 2025, 15(4): 102-113
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Article

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

Paul Dave C. Panzo, Alma B. Mohagan
Animal Biology Division, Institute of Biological Sciences, Central Mindanao University, Maramag 8714, Philippines

Received 7 April 2025;Accepted 15 May 2025;Published online 25 July 2025;Published 1 December 2025
IAEES

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

Keywords Bayesian correlation analysis;golden apple snails;physicochemical parameters;rice fields;conchological features.


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