Back to Search Start Over

Epilithic diatom assemblages and their relationships with environmental variables in the Nilüfer Stream Basin, Bursa, Turkey

Authors :
Didem Karacaoğlu
Nurhayat Dalkiran
Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Biyoloji Bölümü.
Karacaoğlu, Didem
Dalkıran, Nurhayat
AAH-4258-2021
ABE-6749-2020
Source :
Environmental monitoring and assessment. 189(5)
Publication Year :
2016

Abstract

Patterns of epilithic diatom species distribution in relation to environmental variables from 12 sampling sites on the main stream and some of its tributaries in the Nilufer Stream Basin were determined using multivariate statistical techniques. The stream basin has been heavily influenced by anthropogenic effects. The upper part of the basin that is distant from pollution sources mostly has a spring water quality, while the lower part where the stream flows through the urban area and receives domestic and industrial wastewater has a quite low quality. Ordination techniques using both diatom taxa and 21 environmental variables revealed non-to slightly polluted upper basin sites and highly polluted lower basin sites along the stream. The results showed that the stream catchment is polluted gradually from upstream to downstream and that most of the downstream sites have very low water quality especially in summer months. A total of 134 epilithic diatom taxa belonging to 50 genera were recorded for 12 sample sites. Partial CCA results indicated that water temperature (T), discharge (Q), and total phosphorus (TP) were the most important variables affecting the distribution of diatom species. Unpolluted or slightly polluted upper basin sites were dominated by Achnanthidium minutissimum, Cocconeis placentula var. euglypta, Gomphonema olivaceum, and Navicula tripunctata. Highly polluted lower basin sites were characterized by high levels of organic and inorganic matters and low dissolved oxygen (DO) values. Species widespread in the highly polluted lower basin sites such as Nitzschia umbonata, Nitzschia amphibia, Nitzschia capitellata, Nitzschia palea, Nitzschia paleacea, Luticola mutica, and Stephanodiscus niagarae were mostly related to pollution indicator variables such as ammonium nitrogen (NH4(+)-N), sodium (Na+), total phosphorus (TP), and total organic matter (TOM).

Subjects

Subjects :
0106 biological sciences
Indicat
Turkey
Species distribution
Heavy Metal
Dams
Coal Combustion
01 natural sciences
Environmental impact
Species composition
Water Quality
Tributary
Responses
Nitzschia palea
Nilufer stream
Sampling
General Environmental Science
media_common
chemistry.chemical_classification
River
geography.geographical_feature_category
Phosphorus
General Medicine
Pollution
River basin
Water pollution
Water temperature
Population distribution
Nitzschia
Nitrogen
media_common.quotation_subject
Management, Monitoring, Policy and Law
Island
Article
Water-quality
Pollution incidence
Gomphonema olivaceum
Organic matter
River pollution
Diatoms
Anthropogenic source
Bioindicator
010604 marine biology & hydrobiology
Sodium
Diatom
Environmental factor
Nitzschia paleacea
Species distributions
chemistry
Concentration (parameters)
Water quality
Nitzschia umbonata
Season
Geographic distribution
Partial CCA
Nitzschia capitellata
Industrial wastewaters
Epilithon
Multivariant analysis
Drainage basin
010501 environmental sciences
Catchment
Turkey (republic)
Dissolved oxygen
Cocconeis placentula
Bacillariophyta
Groundwater
Nitzschia amphibia
biology
Biochemical oxygen demand
Temperature
Epilithic diatom
Classification
Chemistry
Catchments
Seasons
Epilithic diatoms
Environmental Monitoring
Stream (river)
Luticola mutica
Growth, development and aging
Anthropogenic effects
Rivers
Ammonia
Environmental sciences & ecology
Pollution indicators
Navicula tripunctata
Canonical correspondence-analysis
Achnanthidium minutissimum
0105 earth and related environmental sciences
Hydrology
geography
Bursa [Turkey]
Stephanodiscus niagarae
Stream flow
Valley
Population abundance
Orsordination
biology.organism_classification
Environmental variables
Nonhuman
Nilüfer stream basin
Environmental science
Multivariate statistical techniques

Details

ISSN :
15732959
Volume :
189
Issue :
5
Database :
OpenAIRE
Journal :
Environmental monitoring and assessment
Accession number :
edsair.doi.dedup.....765e3b6034db3e2240771e4aa08ad0ae