scholarly journals Phytoplankton Response to Changes in Water Quality and a Flood Event in Hervey Bay, Queensland

Author(s):  
Deborah Milham-Scott

Dynamic, integrated and complex processes dominate nearshore marine ecosystems. Industrial, agricultural and population growth delivers pollution and excess nutrient and sediment loads to nearshore marine zones. Climate change also poses serious threats to the delicate balance that exists between and within marine ecosystem processes. Methods to monitor, characterise and model nearshore marine systems have been developed to predict responses to changes in the physical, chemical and biological parameters that constitute elements of a model. Such models are useful to management authorities as they provide a tool to mitigate adverse impacts to marine ecosystems. Phytoplankton community structure provides a sensitive early warning for change to marine ecosystems. It is also a vital component of models derived to determine light attenuation and requirements for healthy seagrass and coral habitats. The multifactorial physicochemical drivers of change to marine microalgae abundance and community structure were investigated in Hervey Bay following two floods, a cyclone and destruction of 1000 km2 of seagrass. A water quality gradient from point sources to offshore sites was identified. Correlations between chlorophyll a (Chl a) and both soluble reactive phosphate (SRP) and total suspended solids was revealed. Diatoms dominated the phytoplankton community structure with seasonal and site differences detected amongst 150 phytoplankton species. Chl a, Secchi depth, SRP and pH maximised the rank correlation with phytoplankton assemblage structure (ρ = 0.63) to best ‘explain’ the link between water quality and phytoplankton (BIOENV). Indicator species include Cylindrotheca closterium for the nearshore degraded sites and Rhizosolenia sp. and Guinardia sp. (G. flaccida and G. striatula) for the offshore more pristine habitats. Following the flood in February 1995, Cylindrotheca closterium, Pseudonitzschia sp. and Skeletonema costatum bloomed at Pulgul Creek (a treated sewage effluent site), and Thalassionema frauenfeldii, Cerataulina bicornis and dinoflagellates bloomed at the mouth of the Mary River (agricultural runoff). Discharge-driven flood impact and trigger values were analysed to assist management authorities in their decision making around potential seafood biotoxin problems associated with harmful algal blooms (HAB’s). Results highlight the importance of species determination rather than Chl a assessment when evaluating the health of an ecosystem. Spring blooms of Trichodesium sp. indicate an additional nutrient source during high traffic of commercial whale watching vessels. Flood impacts highlight the need to schedule dredging, construction and other land management and development activities outside of flood periods. Commercial fishing and swimming should be avoided following a flood due to the health risks associated with toxic phytoplankton species (HAB’s) and for the health and safety of swimmers, consumers and other aquatic species. Future research to replicate this study in Hervey Bay and in other estuaries holds much value to further explore the phytoplankton species identified as bio-indicators of ecosystem health in the present study. Research yet to be published, addresses the links between water quality and seagrass epiphytes, light attenuation and the habitat requirements of seagrass in Hervey Bay.

Author(s):  
Beatrice Ambo Fonge ◽  
Pascal Tabi Tabot ◽  
Djouego Sob Charleine ◽  
Fru Queenzabel Mambo ◽  
Lucienne Human

Physicochemical parameters and plankton community structure of streams flowing through the Douala-Bassa Industrial zone were assessed in seven different sites. Anthropogenic activities, water accessibility and the different industries located along the watercourse were considered in selecting the sites. Four sets of water samples were collected from each site and analysed for phytoplankton community structure, nutrient, Chl a and bacteria. Physicochemical parameters were measured insitu using a multi parameter equipment (HANNA 8289). Water temperature ranged from 25.27 - 26.840 C. The pH of the water samples ranged from 6.33 – 7.50 while Turbidity ranging from zero - 1000 NTU. The Electrical Conductivity was 495.33 - 261.67 µS/cm and Dissolved Oxygen was zero - 1.11 ppm. Chlorophyll a concentration ranged from 1.2 – 48.96µg/l. Total Suspended Solids ranged from 0.15 – 0.88. Phosphate and ammonium concentrations ranged from 1.22 – 12.81µM and 4.29 – 136.48 µM respectively nitrates concentration was 1.15 – 217.09 µM. The number of phytoplankton species varied between the sites with a total of 68 species belonging to 11 Divisions. The Bacillariophytas were the most abundant with 27 species. The Chlorophyta followed with 12 species. The most dominant phytoplankton species were Microcystis sp, Pinnularia gibba and Nitzschia palea. Site 7 was the most diverse site with 70 species. High concentrations of nutrients and the presence of eutrophic species such as the Bacillariophytas and Microcystis suggests pollution and a need to monitor activities carried out along the water course with respect to quantity and quality of wastewater discharged into the stream. The ecosystem was in a eutrophic state with variations in the water quality parameters. This could be attributed to possible untreated effluents incorporated in the ecosystem. It can be concluded from the study that phytoplankton dynamics in the Douala-Bassa Industrial Zone are directly related to ecophysiological and anthropogenic drivers.


2004 ◽  
Vol 61 (11) ◽  
pp. 2038-2052 ◽  
Author(s):  
Francesca Vidussi ◽  
Suzanne Roy ◽  
Connie Lovejoy ◽  
Marie Gammelgaard ◽  
Helge Abildhauge Thomsen ◽  
...  

Phytoplankton taxonomic pigments were measured by high-performance liquid chromatography (HPLC) during a 3-month survey (April–June 1998) in the North Water (NOW) Polynya (Canadian Arctic) to investigate changes in phytoplankton biomass and composition and the physical–chemical factors that influence these changes. A phytoplankton bloom with high chlorophyll a (Chl a) concentrations (up to 17.45 mg·m–3 at 15 m) occurred in mid-May along the Greenland coast in the southeastern part of the NOW Polynya. The initiation of the phytoplankton bloom was linked to shallow mixed-layer depths. The contribution of the different phytoplankton groups to Chl a inferred using a factorization program (CHEMTAX) indicated that the bloom was diatom-dominated (maximum 94% diatoms). The phytoplankton community structure was influenced by the water mass characteristics and the surface circulation pattern. Autotrophic flagellates dominated in April and May along the Canadian coast, where cold Arctic waters with relatively deep mixed layers were found. In contrast, diatoms dominated in May along the Greenland coast in warmer water masses of Atlantic origin and during June in the whole polynya, except in the southernmost part.


2021 ◽  
Vol 267 ◽  
pp. 01026
Author(s):  
Ziqi Zhang ◽  
Lei Yang ◽  
Zemeng Duan ◽  
Hongyan Shen

On the basis of the “Environmental quality standard for surface water” (GB 3838-2002) in China, eight water quality indexes were measured in M River, including pH, water temperature (T), transparency (SD), dissolved oxygen (DO), chemical needs Oxygen (COD), ammonia nitrogen (NH3-N), total nitrogen (TN), total phosphorus (TP). Using the single factor index method, it is concluded that the water pollution of M River is serious and the water quality is beyond Grade V of water environment standard. Moreover some indexes of the water quality meet with the standard level, including COD, NH3-N, TN and TP. The Pearson correlation analysis is conducted between water quality indexes and phytoplankton community parameters. After phytoplankton qualitative and quantitative analysis, the phytoplankton community characteristics in Minxin River were analyzed by Dominance index (Y), Shannon-Wiener diversity index (H’), Margalef Species diversity index (d) and Pielou evenness index (J). H’ and TN was a significant positive correlation (r = 0.923, P <0.05); J and COD was a significant positive correlation (r = 0.918, P <0.05); There was a very significant negative correlation between d and water temperature (T), COD, NH3-N, TN (r =-0.881, P <0.01; r =-0.983, P <0.01; r =-0.893, P <0.01; r=-0.962, P<0.01). The result of the research indicates that T, COD, NH3-N and TN are main water quality indexes affecting phytoplankton community structure.


2021 ◽  
Vol 56 (1) ◽  
pp. 19-30
Author(s):  
Chenwei Liu ◽  
Xu Sun ◽  
Lianghu Su ◽  
Jinbang Cai ◽  
Longjiang Zhang ◽  
...  

Abstract To find effective measures to control the water quality of the Hongmen Reservoir, it is necessary to better understand its phytoplankton composition, abundance and spatial and temporal distribution. Samples were collected at three sampling sites in January (dry season), May (wet season) and September (normal season) in 2019. Trophic level and stability status were assessed on the basis of the Shannon diversity index (H), species richness (S) and evenness (J) index. The different relationships between phytoplankton and the concentrations of several physicochemical parameters and the main soluble nutrients were evaluated by statistical tests. The results showed that there were 75 species belonging to seven groups of phytoplankton, including Chlorophyta (44 species), Bacillariophyta (12 species), Cyanophyta (9 species) and others (10 species). The phytoplankton community composition belongs to the Chlorophyta–Bacillariophyta–Cyanobacteria type structure; and Microcystis, Anabaena azotica Ley, Aphanizomenon, Melosira granulata were the main contributors to the dissimilarities in the temporal distributions of their communities. The phytoplankton density ranged from 4.42 × 106 to 8.99 × 106 particles/L, with an average of 6.45 × 106 particles/L, and the biomass was 4.42 × 106 ∼ 8.99 × 106 particles/L, with an average of 6.45 × 106 particles/L. The variation ranges of the Shannon–Wiener index (H′), Margalef index (D) and Pielou evenness index (J) were 2.05 ∼ 2.85, 4.12 ∼ 6.60 and 0.61–0.78, respectively. This research shows that the water in the Hongmen Reservoir is clean and that the pollution level is light. The correlation analysis shows that total phosphorus and dissolved oxygen are the main factors affecting phytoplankton community structure in the Hongmen Reservoir.


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