Koudenoukpo, Z.C., Odountan, O.H., Agboho, P.A., Dalu, T., Van Bocxlaer, B., Janssens de Bistoven, L., Chikou, A. and Backeljau, T. (2021) Using Self-Organizing Maps and Machine Learning Models to Assess Mollusc Community Structure in Relation to Physicochemical Variables in a West Africa River-Estuary System. Ecological Indicators, 126, Article ID: 107706.
https://doi.org/10.1016/j.ecolind.2021.107706

has been cited by the following article:

• TITLE: Spatiotemporal Variation of Benthic Macroinvertebrates in Some Tropical Forest Streams of the Nyong Catchment (Cameroon)

  AUTHORS: Jean Dzavi, Samuel Foto Menbohan, Blaise Rollinat Mboye, Mathias Nwaha, Eric Belmond Biram à Ngon

  KEYWORDS: Benthic Macroinvertebrates, Environmental Variables, Faunistic Diversity, Taxonomic Richness, Biotypology, Tropical Forest Streams, Cameroon

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.12 No.7, July 18, 2022

  ABSTRACT: With the aim of assessing the benthic macroinvertebrates’ diversity, a study was carried out in some tropical forest streams of the Nyong River catchment in Cameroon from February 2019 to February 2020. A total of 167 samples were carried out from 13 stations during 13 months. Some environmental variables were measured. These parameters varied more or less from station to station but significantly at the temporal level. In this study, 13,690 benthic macroinvertebrates belonging to 4 phyla, 7 classes, 16 orders and 93 families were collected. The benthic macroinvertebrates were more abundant and more diversified in the stations whose waters are well oxygenated and present a moderate current compared to the stations with a very weak current. The diversity varied significantly from 1.33 ± 0.14 bits/ind to 2.00 ± 0.35 bits/ind and the high values were found in stations with multiple substrates and well-oxygenated waters. Temporally, the diversity varied significantly from 1.10 ± 0.16 bits/ind in NM sampling station in February 2020 to 1.87 ± 0.1 bits/ind in the OB sampling station in September. In addition, the settlement was more abundant during the short dry season, more precisely during the month of August (1471 individuals) but richer during the long dry season during the month of February (54 families). The distribution of the abundances of the benthic fauna in the different stations made it possible to identify five typological groups using the rarefaction curves, the ascending hierarchical classification and the principal component analyses. Each of these five groups is characterized by a specific taxonomic richness, composition and abundance.