Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal

This paper introduces the cumulative impact of cyclonic (cold-core) and anticyclonic (warm-core) eddies on the distribution of phytoplankton biomass in the Bay of Bengal (BoB). Estimations of the ocean surface eddy features in the BoB using satellite-derived monthly, seasonal, and multi-year (2012–2...

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Autores principales:	R. Jyothibabu, C. Karnan, N. Arunpandi, S. Santhi Krishnan, K.K. Balachandran, K.C. Sahu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Phytoplankton Chlorophyll a Eddy Gyre Oligotrophic Bay of Bengal Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/90cd8ac4d04e4a11927a47b26efd1935
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spelling	oai:doaj.org-article:90cd8ac4d04e4a11927a47b26efd19352021-12-01T04:32:32ZSignificantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal1470-160X10.1016/j.ecolind.2020.107016https://doaj.org/article/90cd8ac4d04e4a11927a47b26efd19352021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309559https://doaj.org/toc/1470-160XThis paper introduces the cumulative impact of cyclonic (cold-core) and anticyclonic (warm-core) eddies on the distribution of phytoplankton biomass in the Bay of Bengal (BoB). Estimations of the ocean surface eddy features in the BoB using satellite-derived monthly, seasonal, and multi-year (2012–2016) datasets showed significant dominance of warm-core features over the cold-core ones. Multi-year monthly data of the BoB evidenced strikingly higher geographical area (%) for warm cores (av. 16.5 ± 5.5) compared to the cold-core features (av. 2 ± 1.2). The highest warm-core extent (%) was in May (av. 25.8 ± 1.4), followed by April (av. 22.6 ± 1.4), February (av. 19.5 ± 0.3) and March (av. 18.3 ± 0.9). Contrastingly, a relatively higher extent (%) of cold cores occurred in November (av. 3.9 ± 2.2), October (av. 3.78 ± 2.0), and December (av. 3.5 ± 2.1). The analysis also showed that the extreme oligotrophy of the study domain during the Pre-Monsoon (March-May) was caused by a robust, warm gyre. Upwelling and winter convection, which enhances phytoplankton biomass in the Arabian Sea, are either very weak or absent in the BoB. Similarly, nutrient inputs through river influx into the BoB are insufficient to enhance phytoplankton stock beyond the shelf waters. In this scenario, we showed here that the significantly larger spread of warm-core over the cold-core eddies is a simple ecological indicator of the basin-scale low phytoplankton stock in the BoB.R. JyothibabuC. KarnanN. ArunpandiS. Santhi KrishnanK.K. BalachandranK.C. SahuElsevierarticlePhytoplanktonChlorophyll aEddyGyreOligotrophicBay of BengalEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107016- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Phytoplankton Chlorophyll a Eddy Gyre Oligotrophic Bay of Bengal Ecology QH540-549.5
spellingShingle	Phytoplankton Chlorophyll a Eddy Gyre Oligotrophic Bay of Bengal Ecology QH540-549.5 R. Jyothibabu C. Karnan N. Arunpandi S. Santhi Krishnan K.K. Balachandran K.C. Sahu Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal
description	This paper introduces the cumulative impact of cyclonic (cold-core) and anticyclonic (warm-core) eddies on the distribution of phytoplankton biomass in the Bay of Bengal (BoB). Estimations of the ocean surface eddy features in the BoB using satellite-derived monthly, seasonal, and multi-year (2012–2016) datasets showed significant dominance of warm-core features over the cold-core ones. Multi-year monthly data of the BoB evidenced strikingly higher geographical area (%) for warm cores (av. 16.5 ± 5.5) compared to the cold-core features (av. 2 ± 1.2). The highest warm-core extent (%) was in May (av. 25.8 ± 1.4), followed by April (av. 22.6 ± 1.4), February (av. 19.5 ± 0.3) and March (av. 18.3 ± 0.9). Contrastingly, a relatively higher extent (%) of cold cores occurred in November (av. 3.9 ± 2.2), October (av. 3.78 ± 2.0), and December (av. 3.5 ± 2.1). The analysis also showed that the extreme oligotrophy of the study domain during the Pre-Monsoon (March-May) was caused by a robust, warm gyre. Upwelling and winter convection, which enhances phytoplankton biomass in the Arabian Sea, are either very weak or absent in the BoB. Similarly, nutrient inputs through river influx into the BoB are insufficient to enhance phytoplankton stock beyond the shelf waters. In this scenario, we showed here that the significantly larger spread of warm-core over the cold-core eddies is a simple ecological indicator of the basin-scale low phytoplankton stock in the BoB.
format	article
author	R. Jyothibabu C. Karnan N. Arunpandi S. Santhi Krishnan K.K. Balachandran K.C. Sahu
author_facet	R. Jyothibabu C. Karnan N. Arunpandi S. Santhi Krishnan K.K. Balachandran K.C. Sahu
author_sort	R. Jyothibabu
title	Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal
title_short	Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal
title_full	Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal
title_fullStr	Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal
title_full_unstemmed	Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal
title_sort	significantly dominant warm-core eddies: an ecological indicator of the basin-scale low biological production in the bay of bengal
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/90cd8ac4d04e4a11927a47b26efd1935
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Significantly dominant warm-core eddies: An ecological indicator of the basin-scale low biological production in the Bay of Bengal

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