Dataset of physico-chemical water parameters, phytoplankton, flora and fauna in mangrove ecosystem at Sungai Kertih, Terengganu, Malaysia

This data article presents the composition of selected physico-chemical water parameters, phytoplankton, flora and fauna in Sungai Kertih, Terengganu, Malaysia. Sungai Kertih is surrounded by mangrove forest and located nearby to a coastal hill namely Bukit Labohan that supports vast biological reso...

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Bibliographic Details
Main Authors: Siti Mariam Muhammad Nor, Maisarah Jaafar, Nik Mohd Shibli Nik Jaafar, Nurul Shahida Redzuan, Wan Bayani Wan Omar, Muhammad Yazid Deraman, Siti Nur Syasya Nadhirah Azli, Nur Adilla Shehrom, 'Ainna Mahyudin, Nor Ain Bahari, Nurul Nadhirah Zulkafli, Nur Faezati Jaafar, Siti Nur Syaza Ma'ad, Mohammad Izuan Mohd Zamri, Azrun Amirudin, Nur Ain Abdullah, Nurulhuda Zakaria
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340922003067
Description
Summary:This data article presents the composition of selected physico-chemical water parameters, phytoplankton, flora and fauna in Sungai Kertih, Terengganu, Malaysia. Sungai Kertih is surrounded by mangrove forest and located nearby to a coastal hill namely Bukit Labohan that supports vast biological resources to its adjacent inhabitants. Therefore, a biodiversity and environmental assessment was conducted in Sungai Kertih from 19–21 August 2019 to document the biodiversity and physico-chemical water parameters of the river. The dataset show that Sungai Kertih is occupied by 14 tree mangrove species, 43 phytoplankton species, 21 bivalve species, 10 crustacean species, five amphibian species and eight reptilian species. The obtained physico-chemicals water parameters data were the value of pH, total dissolved solids, dissolved oxygen, temperature, salinity and electrical conductivity. Understanding the influence of physical and chemical properties on biological resources in coastal ecosystem is one of important in river conservation and management practices. Thus, this baseline dataset can be utilized for further reference and monitoring the health of the environment in the mangrove ecosystem.
ISSN:2352-3409