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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Online Access: | https://doi.org/10.20537/2076-7633-2018-10-1-125-160 https://doaj.org/article/aacbb7bb17e74219aaf9a0912569d480 |
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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 |
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160 |
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1766398640308355072 |