Effect of Cd and Pb Pollutions on Physiological Growth: Wavelet Neural Network (WNN) as a New Approach on Age Determination of Coenobita scaevola

Nourouzi MM 1 , Chamani A 2 , Shirani M 1 , Malekpouri P 3 , Chuah AL 4

Affiliations 

  • 1 Environmental Science Department, Islamic Azad University, Isfahan (Khorasgan) Branch, Isfahan, Iran
  • 2 Environmental Science Department, Islamic Azad University, Isfahan (Khorasgan) Branch, Isfahan, Iran. [email protected]
  • 3 Young Researchers and Elites Club, Islamic Azad University, Science and Research Branch, Tehran, Iran
  • 4 Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor D.E., Malaysia
Bull Environ Contam Toxicol, 2018 Sep;101(3):320-325.
PMID: 30030595 DOI: 10.1007/s00128-018-2401-x

Abstract

Environmental pollution of aquatic ecosystems leads to an interference in several fundamental biochemical and physiological functions. In this study the interference of Cd and Pb pollutions on the physiological growth and subsequently on the age determination was investigated. The hermit crab, Coenobita scaevola (C.s) was selected as a bioaccumulator in this study. The direct and indirect age determination methods were carried out using annual band counts and carapace length, respectively. The results showed that, there was very low correlation (R2  0.95). In addition, it was concluded that the environmental pollution had interaction with the growth physiology such as weight and length.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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