Can tintinnids be used for discriminating water quality status in marine ecosystems?

2015 ◽  
Vol 101 (2) ◽  
pp. 549-555 ◽  
Author(s):  
Meiping Feng ◽  
Wuchang Zhang ◽  
Weiding Wang ◽  
Guangtao Zhang ◽  
Tian Xiao ◽  
...  
2021 ◽  
Author(s):  
Syed Shabi Ul Hassan Kazmi ◽  
Uroosa Uroosa ◽  
Henglong Xu

Abstract Protozoan periphytons with their ecological features are considered as a robust bioindicator for bioassessment of both environmental stress and anthropogenic impacts in aquatic ecosystems. Keeping in view the ability of protozoan fauna for discriminating water quality status, a 1-year baseline survey was conducted using glass slides as an artificial substratum in coastal waters of Yellow sea, northern China. Four sampling sites (A–D) were selected from a clean area to a polluted station, and samples were collected monthly at a depth of 1 m. Environmental variables such as salinity, chemical oxygen demand (COD), dissolved oxygen (DO), soluble reactive phosphates (SRP), ammonium nitrogen (NH4-N) and nitrate nitrogen (NO3-N) were measured synchronically to compare with biotic factors. From a total of 144 identified protozoan species, 53 functional units (FUs) were proposed based on four biological traits: feeding type, resource of food supply, body size and movement type. These FUs represented a clear variability in spatial distribution among four study sites. The relative abundances of the sessile colonial bacterivores (e.g., BOS5s) showed an increasing trend from sites A to D. Multivariate analysis revealed that the patterns of the protozoan FUs showed a significant variation among four sampling sites, and were driven by the increasing levels of nutrients (e.g., NH4-N) and decreasing ranks of DO (P < 0.05). The bacterivorous FUs (e.g., BOS5s and BIS3v) were significantly positively related to NH4-N, while the vagile algivorous FUs (e.g., AIS8v, AOS3v, AOS6v) and sessile predators (e.g., RIS4s) were significantly positively correlated with transparency. These findings suggested that FUs of protozoan periphytons may be used as a useful bioindicators of water quality status in marine ecosystems.


2012 ◽  
Vol 3 (4) ◽  
pp. 75-77
Author(s):  
Prof. A.B. More Prof. A.B. More ◽  
◽  
Prof. C.S. Chavan Prof. C.S. Chavan ◽  
Ajoy Gurung ◽  
Pramod Sarwade ◽  
...  

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratu Siti Aliah

An evaluation of the water quality at the hatchery of Tanjung Riau was conducted to understand the water quality status at the several place of the hatchery unit such as brood stock tanks, larva rearing tank, water storage tank, fi ngerling tank as well as the source of the water supply. The water quality status of Tanjung Riau generally is in a good condition to support the hatchery activities, but for turbidity and salinity were in the exceed and below the normal status and its infl uence on the spawning activity. To overcome the problem on the spawning of the brood stock, the improving of water supply with higher salinity and low turbidity should be set up to ensure the succeeded of the spawning.Key words : Water quality, grouper brood stock, hatchery,Tanjung Riau Batam


Author(s):  
Markus T Lasut ◽  
Adianse Tarigan

A study on water quality status of three riverine systems, S. Bailang (SB), S. Maasing (SM), and S. Tondano (ST), in coastal city of Manado, North Sulawesi Province, has been conducted to measure several water quality parameters, to analyse source and quality of wastewater discharge, and to assess the status of the rivers related to the water quality. Measurement of the parameters was conducted using three indicators, i.e. organic (BOD5) and in-organic (N-NO3 and P-PO4), and pathogenic microorganism (Escherichia coli [EC] and total coliform [TC]). The result showed that the level of water quality varied between the rivers. The average level of water quality (based on the observed parameters) in SB, respectively, was 0.317 mg/l, 0.093 mg/l, 2 mg/l, >2420 MPN, and  >2420 MPN; in SM, respectively, was 0.029 mg/l, 1.859 mg/l, 17.7 mg/l, >2420 MPN, and >2420 MPN; and in ST, respectively, was 0.299 mg/l, 0.252 mg/l, 3.5 mg/l, >2420 MPN, and >2420 MPN. The level of water quality between the rivers was not significantly different (p>0.05), except based on the parameter of N-NO3 which was significantly different (p<0.01). The status of the observed rivers varied based on the classes of their water utilities (according to the Government Regulation of Indonesia, No. 82, 2001); mostly was "unsuitable". Kajian tentang status kualitas air di 3 perairan sungai di kota pesisir Manado, S. Bailang (SB), S. Maasing (SM), dan S. Tondano (ST), Provinsi Sulawesi Utara, telah dilakukan yang bertujuan untuk mengukur beberapa parameter kualitas air, menganalisis sumber dan kualitas buangan limbah domestik, dan menilai status ketiga perairan sungai tersebut. Tiga indikator digunakan, yaitu: bahan organik (BOD5), bahan anorganik (N-NO3 dan P-PO4), dan mikroorganisme patogenik (Escherichia coli [EC] dan coliform total [TC]). Hasil kajian menunjukkan bahwa tingkat kualitas air perairan tersebut berbeda-beda. Konsentrasi rerata parameter kualitas air  (BOD5, N-NO3, P-PO4, EC, dan TC) di SB, berturut-turut, sebesar 0.317 mg/l, 0.093 mg/l, 2 mg/l, >2420 MPN, dan >2420 MPN; di SM, berturut-turut, sebesar 0.029 mg/l, 1.859 mg/l, 17.7 mg/l, >2420 MPN, dan >2420 MPN; dan di ST, berturut-turut, sebesar 0.299 mg/l, 0.252 mg/l, 3.5 mg/l, >2420 MPN, dan >2420 MPN. Konsentrasi kualitas air ketiga sungai tersebut tidak berbeda secara signifikan (p>0.05), kecuali parameter N-NO3 (p<0.01). Secara umum, kondisi kualitas air ketiga sungai tersebut, menurut Peraturan Pemerintah No. 82, 2001) berada dalam status “tidak cocok” untuk peruntukannya.


2011 ◽  
Vol 204-210 ◽  
pp. 1326-1329
Author(s):  
Ben Lin Dai ◽  
Yu Long He ◽  
Jin Rong ◽  
Xiao Hui Jiang

Due to the increasingly serious water quality degradation on river, the study on river water quality status assessment has attracted more and more attention of the researchers and decision-makers. In this paper, water quality assessment of Fujiang River from January 2005 to December 2005 was studied by projection pursuit model (PPM). The water quality status of Fujiang River was assessed by the use of 10 monitoring sections, with DO, CODMn, BOD5, NH3-N, Petroleum, and Volatile phenol indicators. Based on the PPM analysis procedures, the assessed sections are described into 1 “category 1”, 4 “category 2” and 5 “category 3” states in 2005. The relative comparison results show that water quality status spatial order of Fujiang River from bad to good is: Fj09<Fj02< Fj10<Fj07< Fj03<Fj05<Fj04< Fj06<Fj08<Fj01.


2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Muhammad Junaidi ◽  
Mat Sardi Hamzah

ABSTRACT The development of lobster farming in floating net cage in Ekas Bay caused an environmental degradation such as decrease water quality due to some aquaculture wastes. The purposes of this study were to determine the status of water quality and their effect on growth and survival rate of lobster reared in floating net cages (FNC) in the Ekas Bay, West Nusa Tenggara Province. Water sample collection and handling referred to the APHA (1992). Analyses of water quality data were conducted using Principal Component Analysis. Determination of the water quality status of Ekas Bay was performed with STORET system. Multivariate analyses were used to determine the relationship between water quality, growth, and survival rate of lobster reared in FNC. Results showed that Ekas Bay water quality status was categorized in class C (medium contaminated), which exceeded some quality standard parameters such as ammonia (0.3 mg/l), nitrate (0.008 mg/l), and phosphate (0.015 mg/l). During lobster farming activities feeding with trash fish for 270 days, we obtained daily growth rate of  0.74% (lower than normal growth rate of 0.86%), survival rate of 66% (lower than normal survival rate of 86.7%), and feed conversion ratio of 11.15. Ammonia was found as a dominant factor reducing growth  and survival rate of lobster reared in FNC. Keywords: water quality, lobsters, growth, survival, Ekas Bay


2015 ◽  
Vol 151 ◽  
pp. 416-426 ◽  
Author(s):  
Carolina Doña ◽  
Ni-Bin Chang ◽  
Vicente Caselles ◽  
Juan M. Sánchez ◽  
Antonio Camacho ◽  
...  

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