Identifying and classifying macroinvertebrate indicator signature traits and ecological preferences along urban pollution gradient in the Niger Delta

Augustine O Edegbene; Oghenekaro N Odume; Francis O Arimoro; Unique N Keke

doi:10.1016/j.envpol.2021.117076

Identifying and classifying macroinvertebrate indicator signature traits and ecological preferences along urban pollution gradient in the Niger Delta

Environ Pollut. 2021 Jul 15:281:117076. doi: 10.1016/j.envpol.2021.117076. Epub 2021 Apr 9.

Authors

Augustine O Edegbene¹, Oghenekaro N Odume², Francis O Arimoro³, Unique N Keke⁴

Affiliations

¹ Unilever Centre for Environmental Water Quality, Institute for Water Research, Rhodes University, P.O. Box 94, Makhanda Grahamstown 6140, South Africa. Electronic address: ovieedes@gmail.com.
² Unilever Centre for Environmental Water Quality, Institute for Water Research, Rhodes University, P.O. Box 94, Makhanda Grahamstown 6140, South Africa. Electronic address: nelskaro@yahoo.com.
³ Department of Animal Biology (Applied Hydrobiology and Ecotoxicology Unit), Federal University of Technology, Minna, Nigeria. Electronic address: francisarimoro@gmail.com.
⁴ Department of Animal Biology (Applied Hydrobiology and Ecotoxicology Unit), Federal University of Technology, Minna, Nigeria. Electronic address: uniquekkn@gmail.com.

PMID: 33872890
DOI: 10.1016/j.envpol.2021.117076

Abstract

Urbanisation of riverine landscape is an increasing threat to the functionality of river ecosystems. In this study, we identify and classify macroinvertebrates indicator signature traits and ecological preferences.We hypothesised that urban pollution would differentially influence the distribution of macroinvertebrate traits and ecological preferences along a gradient of water quality deterioration. Hence, we identified and classified potential biological indicators traits and ecological preferences that were deemed tolerant of or sensitive to urban pollution gradient in the Niger Delta region of Nigeria. Physico-chemical variables (water temperature, depth, flow velocity, dissolved oxygen, biochemical oxygen demand, electrical conductivity (EC), nitrate, phosphate), and macroinvertebrates were collected from 2008 to 2012 seasonally during the wet and dry seasons once in a month in 11 stations in eight river systems. The results based on RLQ, fourth-corner and Kruskal-Wallis analyses indicate that traits/ecological preferences such as tegumental/cutaneous respiration, cased/tubed body armouring, a preference for silty water, bivoltinism, burrowing and a high tolerance for oxygen depletion, were statistically significantly associated with the heavily impacted stations. These traits were positively correlated with physico-chemical variables such as EC, nitrate and phosphate indicative of urban pollution. On the other hand, traits/ecological preferences such as permanent attachment, crawling, swimming, univoltinism and a moderate sensitivity to oxygen depletion were associated with the least impacted stations and were negatively correlated with physico-chemical variables indicative of urban pollution. Overall, the observed differential responses of traits and ecological preferences to urban pollution along a gradient of water quality impairment suggest that traits and ecological preferences can serve as useful biological indicators and thus supports the growing evidence of the utility of the trait-based approach.

Keywords: Pollution impact categories; RLQ and Fourth-corner analyses; Signature traits; Urban pollution.

MeSH terms

Animals
Ecosystem*
Environmental Monitoring
Invertebrates*
Niger
Nigeria
Rivers