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Jérôme OLLIER

A new dead zone in the Indian Ocean could impact future marine nutrient balance - @NATs... - 0 views

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    A new dead zone in the Indian Ocean could impact future marine nutrient balance.
Jérôme OLLIER

Manta rays lacking libido in empty blue seas around the Maldives - theguardian - 0 views

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    Manta rays lacking libido in empty blue seas around the Maldives.
Jérôme OLLIER

Four mysteries of the Indian Ocean - CSIRO - 0 views

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    Despite being the third largest ocean in the world, the Indian Ocean is one of the least explored marine environments. Covering around 20 per cent of the Earth's surface and spanning more than 73 million square kilometres, it's an important channel for over half the world's shipping.
Jérôme OLLIER

El Niño threatens southern Africa with yet another drought - @TC_Africa - 0 views

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    El Niño threatens southern Africa with yet another drought.
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    El Niño threatens southern Africa with yet another drought.
Jérôme OLLIER

Via @theAGU - When the River Meets the Sea: Estuary Sediments and Hypoxia - @AGU_Eos - 0 views

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    Scientists know that low-oxygen dead zones are growing worldwide. New research sheds light on what that will mean for estuary systems if trends continue.
Jérôme OLLIER

Via @TerraMarProject - Run-off from fertilisers has made Bay of Bengal reach 'tipping p... - 0 views

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    Run-off from fertilisers has made Bay of Bengal reach 'tipping point', say experts.
Jérôme OLLIER

Mission to explore genomic diversity of Indian Ocean - @CSIRNIOGoa - 0 views

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    Twenty three scientists set sail on a research vessel off the eastern coast of India (14 March 2021) on a three-month-long quest to map the genomic and proteomic diversity of the Indian Ocean.
Jérôme OLLIER

Via @CORALCoE - Marine sponges are able to feed on dissolved organic matter in the ocea... - 0 views

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    Marine sponges are set to become more abundant in many near-future oligotrophic environments, where they play crucial roles in nutrient cycling. Of high importance is their mass turnover of dissolved organic matter (DOM), a heterogeneous mixture that constitutes the largest fraction of organic matter in the ocean and is recycled primarily by bacterial mediation. Little is known, however, about the mechanism that enables sponges to incorporate large quantities of DOM in their nutrition, unlike most other invertebrates. Here, we examine the cellular capacity for direct processing of DOM, and the fate of the processed matter, inside a dinoflagellate-hosting bioeroding sponge that is prominent on Indo-Pacific coral reefs. Integrating transmission electron microscopy with nanoscale secondary ion mass spectrometry, we track 15N- and 13C-enriched DOM over time at the individual cell level of an intact sponge holobiont. We show initial high enrichment in the filter-feeding cells of the sponge, providing visual evidence of their capacity to process DOM through pinocytosis without mediation of resident bacteria. Subsequent enrichment of the endosymbiotic dinoflagellates also suggests sharing of host nitrogenous wastes. Our results shed light on the physiological mechanism behind the ecologically important ability of sponges to cycle DOM via the recently described sponge loop.
Jérôme OLLIER

Treating fish as a public health asset can strengthen food security in lower-income cou... - 0 views

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    The food and nutrient security of billions of people worldwide depend on fish being treated as a domestic public health asset instead of a commodity.
Jérôme OLLIER

Assessment of phytoplankton diversity, distribution, and environmental variables along ... - 0 views

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    Coastal waters are dynamic because of anthropogenic activities that contribute nutrients and contaminants. These changes have the potential to alter patterns of primary production and thus pelagic food webs. Here, we investigated the spatial variation of the phytoplankton community and its response to changing environmental variables at 84 stations along the five coastal districts of Tamil Nadu (TN). During the present study, 85 phytoplankton species were recorded, such as diatoms (64), dinoflagellates (18), silicoflagellates (1), and Cyanophyceae (2). The maximum phytoplankton abundance was recorded on the Thanjavur coast and gradually decreased towards the south coast of Tamil Nadu. Among the phytoplankton community, 50% was dominated by pennate diatoms, attributed to higher NO3− concentrations in the coastal waters due to agricultural discharge. Cluster analysis revealed that Ramanathapuram and Tirunelveli formed a closed cluster, whereas Thanjavur and Pudukottai formed a separate closed cluster associated with higher nutrient and metal concentrations, highlighting the difference in physicochemical parameters between the northern and southern districts of the TN coast. Relatively high nutrient concentrations in the coastal waters of northern districts are of greater concern, which could impact the coastal ecosystem. Coastal eutrophication is becoming a widespread phenomenon, causing disruption in the food chain and ecosystem balances and hence requiring regular monitoring and management.
Jérôme OLLIER

Automated detection of coastal upwelling in the Western Indian Ocean: Towards an operat... - 0 views

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    Coastal upwelling is an oceanographic process that brings cold, nutrient-rich waters to the ocean surface from depth. These nutrient-rich waters help drive primary productivity which forms the foundation of ecological systems and the fisheries dependent on them. Although coastal upwelling systems of the Western Indian Ocean (WIO) are seasonal (i.e., only present for part of the year) with large variability driving strong fluctuations in fish catch, they sustain food security and livelihoods for millions of people via small-scale (subsistence and artisanal) fisheries. Due to the socio-economic importance of these systems, an "Upwelling Watch" analysis is proposed, for producing updates/alerts on upwelling presence and extremes. We propose a methodology for the detection of coastal upwelling using remotely-sensed daily chlorophyll-a and Sea Surface Temperature (SST) data. An unsupervised machine learning approach, K-means clustering, is used to detect upwelling areas off the Somali coast (WIO), where the Somali upwelling - regarded as the largest in the WIO and the fifth most important upwelling system globally - takes place. This automatic detection approach successfully delineates the upwelling core and surrounds, as well as non-upwelling ocean regions. The technique is shown to be robust with accurate classification of out-of-sample data (i.e., data not used for training the detection model). Once upwelling regions have been identified, the classification of extreme upwelling events was performed using confidence intervals derived from the full remote sensing record. This work has shown promise within the Somali upwelling system with aims to expand it to the rest of the WIO upwellings. This upwelling detection and classification method can aid fisheries management and also provide broader scientific insights into the functioning of these important oceanographic features.
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