Long-Term Consequences of the Effect of Copper and an Electromagnetic Field on the Size and Weight Parameters and Activity of Digestive Glycosidases in Underyearlings of Roach Rutilus rutilus

2021 ◽  
Vol 14 (3) ◽  
pp. 331-339
Author(s):  
I. L. Golovanova ◽  
A. A. Filippov ◽  
Yu. V. Chebotareva ◽  
V. V. Krylov
Keyword(s):  
Electromagnetic Field ◽  
Rutilus Rutilus ◽  
Roach Rutilus Rutilus ◽  
Digestive Glycosidases ◽  
Long Term Consequences ◽  
Effect Of Copper

ACCUMULATION OF HEAVY METALS (CU, ZN, NI, CR, PB, CD) IN TISSUES OF PERCH (PERCA FLUVIATILIS L.) AND ROACH RUTILUS RUTILUS (L.) UNDER EXPERIMENTAL CONDITIONS/SUNKIŲJŲ METALŲ (CU, ZN, NI, CR, PB, CD) KAUPIMASIS EŠERIO PERCA FLUVIATILIS L. IR KUOJOS RUTILUS АККУМУЛЯЦИЯ ТЯЖЕЛЫХ МЕТАЛЛОВ (CU, ZN, NI, CR, PB, CD) В ТКАНЯХ ОКУНЯ PERCA FLUVIATILIS L. И ПЛОТВЫ RUTILLUS RUTILLUS L. В ЭКСПЕРИМЕНТАЛЬНЫХ УСЛОВИЯХ

2008 ◽  
Vol 16 (4) ◽  
pp. 205-212 ◽  
Author(s):  
Raimondas Leopoldas Idzelis ◽  
Vytautas Kesminas ◽  
Gintaras Svecevičius ◽  
Vaidas Misius
Keyword(s):  
Heavy Metals ◽  
Good Condition ◽  
Perca Fluviatilis ◽  
Rutilus Rutilus ◽  
Ecological Monitoring ◽  
Point Of View ◽  
Experimental Conditions ◽  
Roach Rutilus Rutilus ◽  
Perch Perca Fluviatilis

The paper analyses the effects of heavy metals on freshwater fishes. From the point of view of pollution caused by heavy metals, the condition of ecosystems in Lithuania is yet less affected by heavy metals compared to that the world over. Fishes accumulate heavy metals selectively. Fishes mostly accumulate Pb, Cr, Cd. Our experiments showed that MPC (Maximum Permitted Concentration) (0.2 mg/kg) of lead was exceeded 1.6 time in the muscles of perch, and 1.4 time ‐ in the muscles of roach. The MPC (0.05 mg/kg) of cadmium was exceeded 1.2 time in the muscles of perch and roach. It was determined that perch accumulate heavy metals more intensively than roach. Heavy metals accumulate in fishes: liver > muscle> gills. As heavy metals are considered to be one of the most harmful water pollutants, there is a great need for a constant ecological monitoring and reduction of their amounts released into the environment. According to long‐term research data, the MPC in fishes is exceeded only slightly. This confirms a good condition of aquatic ecosystems in Lithuania. Santrauka Įvertintas sunkiųjų metalų pasiskirstymas gėlavandenių žuvų audiniuose monitoringiniuose vandens telkiniuose, taip pat ir kuojų bei ešerių, paveiktų sunkiųjų metalų didžiausiomis leidžiamosiomis koncentracijomis (DLK), audiniuose. Eksperimentiniai tyrimai atlikti su Cu, Zn, Ni, Cr, Pb, Cd, kurių kiekvienas pasižymi kancerogeniniu mutageniniu poveikiu. Nustatyta, kad švino DLK (0,2 mg/kg) buvo viršyta ešerių raumenyse 1,6 karto, o kuojų – 1,4 karto. Kadmio DLK (0,05 mg/kg) ešerių ir kuojų raumenyse buvo viršyta apie 1,2 karto. Taip pat nustatyta, kad ešeriai sunkiuosius metalus kaupia intensyviau nei kuojos. Eksperimentiniai duomenys sutampa su sunkiųjų metalų tyrimų monitoringiniuose vandens telkiniuose duomenimis. Žuvų audiniuose Pb ir Cd koncentracijos yra didžiausios ir dažnai viršija Lietuvos higienos normoje nurodytąją DLK. Tokie rezultatai įpareigoja nuolat kontroliuoti sunkiųjų metalų kiekį žuvyse. Rezultatai pateikiami sunkiųjų metalų sklaidos pasiskirstymo grafikuose. Резюме Представлены данные по распределению тяжелых металлов в тканях пресноводных рыб в мониторинговых водоемах, а также результаты, полученные путем воздействия тяжелых металлов в предельно допустимых концентрациях (ПДК) на окуня и плотву. В экспериментальных исследованиях применялись металлы Cu, Zn, Ni, Cr, Pb, Cd, оказывающие на живые организмы воздействие мутагенного и канцерогенного характера. Установлено, что концентрация Cd в тканях окуня превышала ПДК (0,2 мг/кг) в 1,6 раза, а в тканях плотвы – в 1,4 раза. Концентрация Cd в тканях тех же рыб превышала ПДК (0,05 мг/кг) примерно в 1,2 раза. Также установлено, что окунь аккумулирует тяжелые металлы интенсивнее плотвы. Экспериментальные данные совпадают с данными, полученными в мониторинговых водоемах. Установлено также, что концентрация Pb и Cd в тканях рыб зачастую превышает ПДК. Полученные результаты обязывают постоянно контролировать уровень тяжелых металлов в тканях рыб.

scholarly journals Characteristics of biology and fishery of roach (Rutilus rutilus L.) in water bodies of the Republic of Karelia

2020 ◽  
Vol 0 (1) ◽  
pp. 7-16
Author(s):  
Nadezhda Stepanovna Cherepanova ◽  
Andrey Georgiev ◽  
Vyacheslav Anatolievich Shirokov
Keyword(s):  
Rutilus Rutilus ◽  
Wide Distribution ◽  
Water Bodies ◽  
Lake Ladoga ◽  
Roach Rutilus Rutilus ◽  
Lake Onega ◽  
The Status ◽  
The Republic ◽  
Mature Part

The article summarizes the results of long-term observations of the status of roach stocks in the main fishing waters of the Republic of Karelia (Lake Onega, Lake Ladoga, Vodlozerо and Topo-Pyaozerо reservoirs, Lake Syamozero). New data on its biology (distribution, linear and weight indicators, abundance, biomass) have been presented. There has been shown the dynamics of roach catch for a long-term period (1950–2017). It has been found that the fishing capacity of the represented roach populations corresponds to the production capabilities of its mature part and to the value obtained by biomass growth. The results of observations showed that in the studied water bodies the number and stocks of roach allow for greater volumes of catch than it is currently available and the total catch can be increased up to the calculated values of the allowable catch subject to rational fishing in the water bodies. Roach should be commercially caught at the age of 4+ years old. Given the interspecific contradictions of roach and bream, intensive fishing is recommended during the period of spawning in the straits, bays and mouths of rivers. For catching roach, it is necessary to use coastal-type fishing gear (trap nets, seines). The intensity of fishing and the increase in catches in reservoirs should be considered as mandatory measures in terms of biological reclamation in water bodies. When allocating catch quotas, the priority should be given to the most productive roach suppliers. The accompanying factor for the wide distribution of roach, along with other spring-spawning carp species (blue bream, bream), in our opinion, is warming of the climate in the region. In this regard, it is necessary to take measures to force catching the above fish species.

Impact of simulated geomagnetic storm on activity of digestive glycosidases in roach Rutilus rutilus underyearlings

2015 ◽  
Vol 55 (4) ◽  
pp. 590-595 ◽  
Author(s):  
I. L. Golovanova ◽  
A. A. Philippov ◽  
Yu. V. Chebotareva ◽  
Yu. G. Izyumov ◽  
V. V. Krylov
Keyword(s):  
Geomagnetic Storm ◽  
Rutilus Rutilus ◽  
Roach Rutilus Rutilus ◽  
Digestive Glycosidases

scholarly journals STOCK ASSESSMENT AND LONG-TERM DYNAMICS OF AZOV SEA ROACH (RUSSIAN WATERS), BASED ON CMSY MODEL FOR DATA-LIMITED MODELLING IN PERIOD (1999-2019)

Fisheries ◽  
2020 ◽  
Vol 2020 (6) ◽  
pp. 88-94
Author(s):  
Nikolay Zherdev ◽  
M. Pyatinsky ◽  
Inna Kozobrod
Keyword(s):  
River Flow ◽  
Stock Assessment ◽  
Rutilus Rutilus ◽  
Roach Rutilus Rutilus ◽  
Surplus Production ◽  
Azov Sea ◽  
Production Models ◽  
Stock Biomass ◽  
Russian Waters

Stock assessment of Azov sea roach Rutilus rutilus (Linnaeus, 1758) has been performed by CMSY model in period 1999-2019 by data-limited modelling in R. The current population status – in biological safe zone for stock biomass and no overfishing signals (B2019/BMSY = 1,32, F2019/FMSY = 0,53). Perhaps, current paper results can be a slightly incomplete in background that there is no relevant data about IUU fishery ever exists, which can lead to fishing mortality underestimation. Azov sea roach population continue to be in “depleted” status after river flow regulation in 1950’s. Joined continuous biomass estimates time series over whole fishing his-tory 1932–2019 showed at least 2 population collapses: in 1940’s and 1980’s years. According to model re-sults TAC (total allowed catch) should be accepted at level 516.9 t. If the recommendation is followed stock biomass will stay at safety in level 1828.1 t. Data limited modelling shows a good performance for sea roach in background of data lucking and in this reason still the best choose against cohor or surplus production models.

Barriers to Physical Activity in Adolescents

2015 ◽  
Vol 23 (2) ◽  
pp. 47-59 ◽  
Author(s):  
Nadine Langguth ◽  
Tanja Könen ◽  
Simone Matulis ◽  
Regina Steil ◽  
Caterina Gawrilow ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Activities ◽  
Outcome Expectations ◽  
Multidimensional Approach ◽  
Factor Analyses ◽  
Physical And Mental Health ◽  
Tailored Interventions ◽  
Long Term Consequences ◽  
Age Range

During adolescence, physical activity (PA) decreases with potentially serious, long-term consequences for physical and mental health. Although barriers have been identified as an important PA correlate in adults, research on adolescents’ PA barriers is lacking. Thus reliable, valid scales to measure adolescents’ PA barriers are needed. We present two studies describing a broad range of PA barriers relevant to adolescents with a multidimensional approach. In Study 1, 124 adolescents (age range = 12 – 24 years) reported their most important PA barriers. Two independent coders categorized those barriers. The most frequent PA barriers were incorporated in a multidimensional questionnaire. In Study 2, 598 adolescents (age range = 13 – 21 years) completed this questionnaire and reported their current PA, intention, self-efficacy, and negative outcome expectations. Seven PA barrier dimensions (leisure activities, lack of motivation, screen-based sedentary behavior, depressed mood, physical health, school workload, and preconditions) were confirmed in factor analyses. A multidimensional approach to measuring PA barriers in adolescents is reliable and valid. The current studies provide the basis for developing individually tailored interventions to increase PA in adolescents.

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