Biohydrochemical portrait of the White Sea

The biohydrochemical portrait of the White Sea is constructed on the CNPSi-model calculations based on long-term mean annual observations (average monthly hydrometeorological, hydrochemical and hydrobiological parameters of the marine environment) as well as on updated information on the nutrient in...

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Published in:Computer Research and Modeling
Main Authors: Alexander Vasilievich Leonov, Еkaterina Vladimirovna Kоltovskaya, Оxana Viktorovna Chicherina
Format: Article in Journal/Newspaper
Language:Russian
Published: Institute of Computer Science 2018
Subjects:
Online Access:https://doi.org/10.20537/2076-7633-2018-10-1-125-160
https://doaj.org/article/aacbb7bb17e74219aaf9a0912569d480
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spelling ftdoajarticles:oai:doaj.org/article:aacbb7bb17e74219aaf9a0912569d480 2023-05-15T16:02:59+02:00 Biohydrochemical portrait of the White Sea Alexander Vasilievich Leonov Еkaterina Vladimirovna Kоltovskaya Оxana Viktorovna Chicherina 2018-02-01T00:00:00Z https://doi.org/10.20537/2076-7633-2018-10-1-125-160 https://doaj.org/article/aacbb7bb17e74219aaf9a0912569d480 RU rus Institute of Computer Science http://crm.ics.org.ru/uploads/crmissues/crm_2018_1/2018_01_10.pdf https://doaj.org/toc/2076-7633 https://doaj.org/toc/2077-6853 2076-7633 2077-6853 doi:10.20537/2076-7633-2018-10-1-125-160 https://doaj.org/article/aacbb7bb17e74219aaf9a0912569d480 Компьютерные исследования и моделирование, Vol 10, Iss 1, Pp 125-160 (2018) White Sea ecosystem nutrients heterotrophic bacterioplankton diatom phytoplankton herbivorous and predatory zooplankton detritus trophic chain CNPSi-model of nutrient biotransformation ecological portrait of the White Sea the comparison of the observed and calculated parameters of diatoms (abundance products biomass chlorophyll a) Applied mathematics. Quantitative methods T57-57.97 Mathematics QA1-939 article 2018 ftdoajarticles https://doi.org/10.20537/2076-7633-2018-10-1-125-160 2022-12-31T01:15:50Z The biohydrochemical portrait of the White Sea is constructed on the CNPSi-model calculations based on long-term mean annual observations (average monthly hydrometeorological, hydrochemical and hydrobiological parameters of the marine environment) as well as on updated information on the nutrient input to the sea with the runoff of the main river tributaries (Niva, Onega, Northern Dvina, Mezen, Kem, Keret). Parameters of the marine environment are temperature, light, transparency, and biogenic load. Ecological characteristics of the sea "portrait" were calculated for nine marine areas (Kandalaksha, Onega, Dvinsky, Mezensky Bays, Solovetsky Islands, Basin, Gorlot, Voronka, Chupa Bay), these are: the concentration changes of organic and mineral compounds of biogenic elements (C, N, P, Si), the biomass of organisms of the lower trophic level (heterotrophic bacteria, diatomic phytoplankton, herbivorous and predatory zooplankton) and other ones (rates of substance concentration and organism biomass changes, internal and external substance flows, balances of individual substances and nutrients as a whole). Parameters of the marine environment state (water temperature, ratio of mineral fractions N P) and dominant diatom phytoplankton in the sea (abundance, production, biomass, chlorophyll content a) were calculated and compared with the results of individual surveys (for 1972-1991 and 2007-2012) of the White Sea water areas. The methods for estimating the values of these parameters from observations and calculations differ, however, the calculated values of the phytoplankton state are comparable with the measurements and are similar to the data given in the literature. Therefore, according to the literature data, the annual production of diatoms in the White Sea is estimated at 1.5-3 million tons C (at a vegetation period of 180 days), and according to calculations it is ~2 and 3.5 million tons C for vegetation period of 150 and 180 days respectively. Article in Journal/Newspaper dvina Solovetsky Solovetsky Islands White Sea Directory of Open Access Journals: DOAJ Articles Chupa ENVELOPE(33.055,33.055,66.270,66.270) Kandalaksha ENVELOPE(32.417,32.417,67.133,67.133) Keret ENVELOPE(33.567,33.567,66.283,66.283) Keret’ ENVELOPE(32.900,32.900,66.196,66.196) Niva ENVELOPE(23.913,23.913,66.136,66.136) Onega ENVELOPE(38.100,38.100,63.900,63.900) Solovetsky ENVELOPE(35.710,35.710,65.025,65.025) White Sea Computer Research and Modeling 10 1 125 160
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language Russian
topic White Sea ecosystem
nutrients
heterotrophic bacterioplankton
diatom phytoplankton
herbivorous and predatory zooplankton
detritus
trophic chain
CNPSi-model of nutrient biotransformation
ecological portrait of the White Sea
the comparison of the observed and calculated parameters of diatoms (abundance
products
biomass
chlorophyll a)
Applied mathematics. Quantitative methods
T57-57.97
Mathematics
QA1-939
spellingShingle White Sea ecosystem
nutrients
heterotrophic bacterioplankton
diatom phytoplankton
herbivorous and predatory zooplankton
detritus
trophic chain
CNPSi-model of nutrient biotransformation
ecological portrait of the White Sea
the comparison of the observed and calculated parameters of diatoms (abundance
products
biomass
chlorophyll a)
Applied mathematics. Quantitative methods
T57-57.97
Mathematics
QA1-939
Alexander Vasilievich Leonov
Еkaterina Vladimirovna Kоltovskaya
Оxana Viktorovna Chicherina
Biohydrochemical portrait of the White Sea
topic_facet White Sea ecosystem
nutrients
heterotrophic bacterioplankton
diatom phytoplankton
herbivorous and predatory zooplankton
detritus
trophic chain
CNPSi-model of nutrient biotransformation
ecological portrait of the White Sea
the comparison of the observed and calculated parameters of diatoms (abundance
products
biomass
chlorophyll a)
Applied mathematics. Quantitative methods
T57-57.97
Mathematics
QA1-939
description The biohydrochemical portrait of the White Sea is constructed on the CNPSi-model calculations based on long-term mean annual observations (average monthly hydrometeorological, hydrochemical and hydrobiological parameters of the marine environment) as well as on updated information on the nutrient input to the sea with the runoff of the main river tributaries (Niva, Onega, Northern Dvina, Mezen, Kem, Keret). Parameters of the marine environment are temperature, light, transparency, and biogenic load. Ecological characteristics of the sea "portrait" were calculated for nine marine areas (Kandalaksha, Onega, Dvinsky, Mezensky Bays, Solovetsky Islands, Basin, Gorlot, Voronka, Chupa Bay), these are: the concentration changes of organic and mineral compounds of biogenic elements (C, N, P, Si), the biomass of organisms of the lower trophic level (heterotrophic bacteria, diatomic phytoplankton, herbivorous and predatory zooplankton) and other ones (rates of substance concentration and organism biomass changes, internal and external substance flows, balances of individual substances and nutrients as a whole). Parameters of the marine environment state (water temperature, ratio of mineral fractions N P) and dominant diatom phytoplankton in the sea (abundance, production, biomass, chlorophyll content a) were calculated and compared with the results of individual surveys (for 1972-1991 and 2007-2012) of the White Sea water areas. The methods for estimating the values of these parameters from observations and calculations differ, however, the calculated values of the phytoplankton state are comparable with the measurements and are similar to the data given in the literature. Therefore, according to the literature data, the annual production of diatoms in the White Sea is estimated at 1.5-3 million tons C (at a vegetation period of 180 days), and according to calculations it is ~2 and 3.5 million tons C for vegetation period of 150 and 180 days respectively.
format Article in Journal/Newspaper
author Alexander Vasilievich Leonov
Еkaterina Vladimirovna Kоltovskaya
Оxana Viktorovna Chicherina
author_facet Alexander Vasilievich Leonov
Еkaterina Vladimirovna Kоltovskaya
Оxana Viktorovna Chicherina
author_sort Alexander Vasilievich Leonov
title Biohydrochemical portrait of the White Sea
title_short Biohydrochemical portrait of the White Sea
title_full Biohydrochemical portrait of the White Sea
title_fullStr Biohydrochemical portrait of the White Sea
title_full_unstemmed Biohydrochemical portrait of the White Sea
title_sort biohydrochemical portrait of the white sea
publisher Institute of Computer Science
publishDate 2018
url https://doi.org/10.20537/2076-7633-2018-10-1-125-160
https://doaj.org/article/aacbb7bb17e74219aaf9a0912569d480
long_lat ENVELOPE(33.055,33.055,66.270,66.270)
ENVELOPE(32.417,32.417,67.133,67.133)
ENVELOPE(33.567,33.567,66.283,66.283)
ENVELOPE(32.900,32.900,66.196,66.196)
ENVELOPE(23.913,23.913,66.136,66.136)
ENVELOPE(38.100,38.100,63.900,63.900)
ENVELOPE(35.710,35.710,65.025,65.025)
geographic Chupa
Kandalaksha
Keret
Keret’
Niva
Onega
Solovetsky
White Sea
geographic_facet Chupa
Kandalaksha
Keret
Keret’
Niva
Onega
Solovetsky
White Sea
genre dvina
Solovetsky
Solovetsky Islands
White Sea
genre_facet dvina
Solovetsky
Solovetsky Islands
White Sea
op_source Компьютерные исследования и моделирование, Vol 10, Iss 1, Pp 125-160 (2018)
op_relation http://crm.ics.org.ru/uploads/crmissues/crm_2018_1/2018_01_10.pdf
https://doaj.org/toc/2076-7633
https://doaj.org/toc/2077-6853
2076-7633
2077-6853
doi:10.20537/2076-7633-2018-10-1-125-160
https://doaj.org/article/aacbb7bb17e74219aaf9a0912569d480
op_doi https://doi.org/10.20537/2076-7633-2018-10-1-125-160
container_title Computer Research and Modeling
container_volume 10
container_issue 1
container_start_page 125
op_container_end_page 160
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