scholarly journals Bivalve fauna and distribution in the Amur River estuary—a warm-water ecosystem in the cold-water Pacific region

2012 ◽  
Vol 455 ◽  
pp. 195-210 ◽  
Author(s):  
GM Kamenev ◽  
DA Nekrasov
Keyword(s):  
Cold Water ◽  
River Estuary ◽  
Warm Water ◽  
Pacific Region ◽  
Amur River ◽  
Water Ecosystem ◽  
The Amur River ◽  
Amur River Estuary

Behavior of metals in the Amur River estuary

2006 ◽  
Vol 411 (1) ◽  
pp. 1253-1256
Author(s):  
V. M. Shul’kin
Keyword(s):  
River Estuary ◽  
Amur River ◽  
The Amur River ◽  
Amur River Estuary

Phytoplankton of the Amur River Estuary (Sea of Okhotsk) during the summer periods of 2005–2007

2013 ◽  
Vol 39 (2) ◽  
pp. 92-106 ◽  
Author(s):  
O. G. Shevchenko ◽  
M. S. Selina ◽  
T. Yu. Orlova ◽  
T. V. Morozova ◽  
I. V. Stonik ◽  
...  
Keyword(s):  
Sea Of Okhotsk ◽  
River Estuary ◽  
Amur River ◽  
The Amur River ◽  
Amur River Estuary

scholarly journals Growth and biological characteristics of pike perch Sander lucioperca (Linnaeus, 1758) in the Amur River

2020 ◽  
Vol 200 (3) ◽  
pp. 571-585
Author(s):  
N. N. Semenchenko ◽  
E. V. Ostrovskaya
Keyword(s):  
River Estuary ◽  
Maximum Size ◽  
Individual Growth ◽  
Biological Parameters ◽  
Amur River ◽  
Weight Growth ◽  
Amur Estuary ◽  
Pike Perch ◽  
The Amur River ◽  
Individual Growth Rate

Linear and weight growth of pike perch in the Amur River estuary is considered using the data on age determined for 197 specimens. The growth is described by von Bertalanffy and Schmalhausen equations. Some biological parameters of pike perch as the maximum size, age of mass maturation, etc. are calculated using the age-differentiated coefficients of natural mortality. The growth and biological parameters of pike perch in the Amur estuary are compared with the same parameters of this species in the Amur River at Khabarovsk. Recently 3 ecological forms of pike perch are distinguished in the Amur basin: i) riverine ecotype self-redistributed from Lake Khanka, ii) lacustrine ecotype in the lower Amur River, and iii) highly productive semi-anadromous marime ecotype in the Amur estuary. The 3rd phase of pike perch acclimatization is observed now in the Amur estuary known as the «bloom» phase accompanied with prominent increasing of population abundance and individual growth rate acceleration. Pike perch prey in this area mainly on juveniles of non-anadromous and diadromous fish, or on pond smelt Hypomesus olidus during their concentration in the estuary in winter.

scholarly journals МНОГОЛЕТНЯЯ ИЗМЕНЧИВОСТЬ ХИМИЧЕСКОГО СОСТАВА И КАЧЕСТВА ВОДЫ НА ВСЕМ ПРОТЯЖЕНИИ РЕКИ АМУР

2019 ◽  
Author(s):  
A.A. Kovalenko
Keyword(s):  
Water Quality ◽  
Chemical Composition ◽  
The State ◽  
Amur River ◽  
Quality Of Water ◽  
Maximum Permissible Concentrations ◽  
Water Ecosystem ◽  
The Amur River ◽  
The Difference

В условиях антропогенного воздействия на окружающую среду и несбалансированного природопользования может происходить снижение самоочищающей способности реки Амур и ухудшение качества воды. Водопользование в бассейне реки осуществляется со стороны трёх государств: России, Монголии и Китая. Основными источниками поступления загрязняющих веществ в Амур с российской стороны являются предприятия деревообрабатывающей промышленности, машиностроение, цветная металлургия, добыча полезных ископаемых, производство электроэнергии. Снижение качества воды происходит также за счет недостаточной степени очистки сточных вод. Трансграничное положение изучаемого водного объекта, разница демографических потенциалов России и Китая и активное техногенное воздействие со стороны сопредельных территорий обусловливает актуальность настоящего исследования, целью которого является оценка многолетней изменчивости химического состава и качества воды на протяжении реки Амур. Исследование проведено на основе многолетних (20002017 гг.) гидрохимических данных Государственной системы наблюдений за состоянием и загрязнением окружающей среды Росгидромета в пунктах наблюдений на р. Амур: с. Черняево, гг. Благовещенск, Хабаровск, КомсомольскнаАмуре и НиколаевскнаАмуре. Рассмотрен химический состав воды на различных участках реки и проведена оценка качества воды по гидрохимическим показателям. Построены графики временной изменчивости значений удельного комбинаторного индекса загрязненности воды (УКИЗВ). Анализ многолетних данных показал, что на всех исследуемых участках реки концентрации хлоридов, сульфатов и нитратов не превышают предельно допустимые концентрации. Выявлены характерные загрязняющие вещества, содержание которых превышает нормативы ПДК более, чем в половине случаев. Это органические вещества, азот аммонийный, соединения железа, меди, цинка, никеля, марганца, фенолы и нефтепродукты. Наблюдается увеличение содержания некоторых загрязняющих веществ вниз по течению реки. В целом качество воды реки Амур на различных участках характеризуется 3м ( загрязненная и очень загрязненная ) и 4м классами качества ( грязная ). В динамике выражена общая положительная тенденция незначительного снижения уровня загрязненности воды.The title of the article is longterm variability of chemical composition and quality of water along the Amur river. As the title implies the article describes the chemical composition of water in different parts of the river and the water quality by hydrochemical parameters. A mention should be made that under the conditions of anthropogenic press on the environment and unbalanced use of natural resources, the ecological potential of the water ecosystem of the Amur River is depleted and the quality of water decreases. The transboundary position of the studied water object, the difference in the demographic potentials of Russia and China determines the relevance of this paper. The purpose of the work is to assess the longterm variability of the chemical composition and water quality along the Amur River. It should be noted that this research is based on longterm (20002017) Hydrochemical information. The state system of observers for the state and environmental pollution of Roshydromet at observation points along the river: c. Chernyaevo, the city of Blagoveshchensk, Khabarovsk, KomsomolskonAmur and NikolaevskonAmur. As a result, the analysis of longterm data showed that the concentrations of chlorides, sulphates and nitrates do not exceed the maximum permissible concentrations on all the studied river sections. Identified characteristic pollutants, the content of which exceeds the MPC standards in more than half of the cases. There is an increase in the content of some pollutants downstream of the river. In general, the water quality of the Amur River at different sites is characterized by the 3rd (polluted and very polluted) and 4th quality classes (dirty).

scholarly journals Biodiversity of a small water body during the initial filling phase (the Amazar River of the Amur River Basin, Russia)

2021 ◽  
Vol 895 (1) ◽  
pp. 012008
Author(s):  
B B Bazarova ◽  
A P Kuklin ◽  
I E Mikheev ◽  
E Yu Afonina ◽  
N A Tashlykova ◽  
...  
Keyword(s):  
River System ◽  
Amur River Basin ◽  
Amur River ◽  
Running Water ◽  
Small Water ◽  
Initial Stage ◽  
River Reservoir ◽  
Water Ecosystem ◽  
The Amur River ◽  
Left Tributary

Abstract In 2017, for the purposes of the Pulp and Saw Mill (PSM) “Polyarnaya”, the spillover dam was constructed on the Amazar River, a left tributary of the Amur River. Upon completion of the dam construction, the waters of the river formed a small river reservoir PSM “Polyarnaya”. This work covers findings on components and quantities of the newly formed reservoir at its initial stage and the data on biodiversity of its feeding flows. At this stage, the species composition of the flora and fauna in the reservoir falls in between the lacustrine and the riverine ones. The riverine conditions are observed in the upstream area of the reservoir; the middle area bears an intermediate status; while the limnetic zone near the dam features transformation of the river system into a lake-like running-water ecosystem. Seasonally, in the period from spring to autumn, phytoplankton showed a decreasing trend of the quantitative values; whereas the total abundance and biomass of zooplankton were increasing; zoobenthos featured lack of trends; macrophytes contents were different from season to season being abundant in the Amazar River near the urban settlement in spring and in the Amazar River downstream from the dam in autumn. Consequently, the initial stage of the formation of the reservoir is rather similar to original watercourses in the physical and chemical parameters and in the composition of flora and fauna as well.

Predicting cold-water bleaching in corals: role of temperature, and potential integration of light exposure

2020 ◽  
Vol 642 ◽  
pp. 133-146
Author(s):  
PC González-Espinosa ◽  
SD Donner
Keyword(s):  
Coral Bleaching ◽  
Cold Water ◽  
Light Exposure ◽  
Light Attenuation ◽  
Florida Keys ◽  
Cold Temperature ◽  
Warm Water ◽  
Coral Tissue ◽  
Effect Of Temperature ◽  
Type I

Warm-water growth and survival of corals are constrained by a set of environmental conditions such as temperature, light, nutrient levels and salinity. Water temperatures of 1 to 2°C above the usual summer maximum can trigger a phenomenon known as coral bleaching, whereby disruption of the symbiosis between coral and dinoflagellate micro-algae, living within the coral tissue, reveals the white skeleton of coral. Anomalously cold water can also lead to coral bleaching but has been the subject of limited research. Although cold-water bleaching events are less common, they can produce similar impacts on coral reefs as warm-water events. In this study, we explored the effect of temperature and light on the likelihood of cold-water coral bleaching from 1998-2017 using available bleaching observations from the Eastern Tropical Pacific and the Florida Keys. Using satellite-derived sea surface temperature, photosynthetically available radiation and light attenuation data, cold temperature and light exposure metrics were developed and then tested against the bleaching observations using logistic regression. The results show that cold-water bleaching can be best predicted with an accumulated cold-temperature metric, i.e. ‘degree cooling weeks’, analogous to the heat stress metric ‘degree heating weeks’, with high accuracy (90%) and fewer Type I and Type II errors in comparison with other models. Although light, when also considered, improved prediction accuracy, we found that the most reliable framework for cold-water bleaching prediction may be based solely on cold-temperature exposure.

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