3BIO: Journal of Biological Science, Technology and Management
Vol. 4 No. 2 (2022)

Markov Chain and Cluster Model of Green Algae Phytoplankton (Chlorophyceae) Diversity and Spatial Distribution Pattern along Stream, Water Quality, and Land Use Gradients in Krukut River, Jakarta City

Andriwibowo Andriwibowo (Community Ecology and Environmental Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia)
Adi Basukriadi (Community Ecology and Environmental Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia)
Erwin Nurdin (Community Ecology and Environmental Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia)
Amanda Zahra Djuanda (Community Ecology and Environmental Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia)
Elizabeth Adeline (Community Ecology and Environmental Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia)
Zeadora Abbya Trisya (Community Ecology and Environmental Biology, Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia)



Article Info

Publish Date
23 Nov 2022

Abstract

Green algae phytoplankton (Chlorophyceae) have a wide aquatic distribution, including saltwater and freshwater environments. Compared to the ones living in saltwater, green algae diversity in freshwater ecosystems in rivers is influenced by stream gradients, water quality, and land uses. Meanwhile, in Jakarta, 17 rivers have the potential to provide a habitat for green algae communities. Due to anthropogenic activities, river streams have been affected by influences that may affect the water quality and green algae community along stream gradients. One of the critical rivers in Jakarta is the Krukut river, which has the most extended stream spanning over 40 km and downstream in Jakarta bay. This study aims to model the diversity and distribution pattern of green algae in the Krukut river from its upstream segment in Jakarta city, surrounded by settlements, to the downstream segments in Jakarta bay. The distribution model uses the Cluster Analysis and Markov Chain Model to elaborate the probabilities of green algae phytoplankton distribution in downstream, midstream, and upstream segments of the Krukut river. The results show that 7 species of Chlorophyceae have been recorded in the Krukut river. All species had a high likelihood of being found downstream, particularly Cosmarium sp., Eudorina sp., Spyrogyra sp., and Volvox sp. Regarding distribution, all phytoplankton species have a high probability (4%–31%) and tendency to be distributed from upstream and midstream to downstream rather than from downstream to midstream and upstream, with probability ranges of 2%–27%. The probability and tendency of phytoplankton distribution towards downstream directions avoiding upstream were related to the deteriorating water quality in the upstream, characterized by high turbidity, low dissolved oxygen, and more acidic water.

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Journal Info

Abbrev

3bio

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Immunology & microbiology Neuroscience

Description

3Bio: Journal of Biological Science, Technology and Management is an interdisciplinary peer-reviewed journal in a wide aspect related to the field of life sciences and other related fields of study. The journal aims to promote scientific discourse and disseminate research on various branches and ...