Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea
NEOM (short for Neo-Mustaqbal) is a $500 billion coastal city megaproject, currently under construction in the northwestern part of the Red Sea, off the coast of Tabuk province in Saudi Arabia, and its success will rely on the preservation of biodiverse marine ecosystems. Monitoring the variability...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , , , , , |
Other Authors: | , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | http://hdl.handle.net/10754/669263 https://doi.org/10.3390/rs13112082 |
id |
ftkingabdullahun:oai:repository.kaust.edu.sa:10754/669263 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
King Abdullah University of Science and Technology: KAUST Repository |
op_collection_id |
ftkingabdullahun |
language |
English |
description |
NEOM (short for Neo-Mustaqbal) is a $500 billion coastal city megaproject, currently under construction in the northwestern part of the Red Sea, off the coast of Tabuk province in Saudi Arabia, and its success will rely on the preservation of biodiverse marine ecosystems. Monitoring the variability of ecological indicators, such as phytoplankton, in relation to regional environmental conditions, is the foundation for such a goal. We provide a detailed description of the phytoplankton seasonal cycle of surface waters surrounding NEOM using satellite-derived chlorophyll-a (Chl-a) observations, based on a regionally-tuned product of the European Space Agency’s Ocean Colour Climate Change Initiative, at 1 km resolution, from 1997 to 2018. The analysis is also supported with in situ cruise datasets and outputs of a state-of-the-art high-resolution hydrodynamic model. The open waters of NEOM follow the oligotrophic character of the Northern Red Sea (NRS), with a peak during late winter and a minimum during late summer. Coral reef-bound regions, such as Sindala and Sharma, are characterised by higher Chl-a concentrations that peak during late summer. Most of the open waters around NEOM are influenced by the general cyclonic circulation of the NRS and local circulation features, while shallow reef-bound regions are more isolated. Our analysis provides the first description of the phytoplankton seasonality and the oceanographic conditions in NEOM, which may support the development of a regional marine conservation strategy. The study was partly supported by the Center of Excellence NEOM at King Abdullah University of Science and Technology (KAUST) and by NEOM through Beacon Development Company (BDC) at KAUST. The research made use of the Supercomputing Laboratory resources at KAUST. The authors thank the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) and the European Space Agency (ESA) for supplying over 20 years of high-resolution satellite-derived ocean colour data for this study. We also thank all the members and the crew of the R/V Thuwal and R/V Dream Island, who participated in the cruises that provided the in situ data. |
author2 |
Marine Science Biological and Environmental Sciences and Engineering (BESE) Division Earth Science and Engineering Program Physical Science and Engineering (PSE) Division Marine Science Program Department of Biology, National and Kapodistrian University of Athens, 15772 Athens, Greece. Centre for Geography and Environmental Science, College of Life and Environmental Sciences, Penryn Campus, University of Exeter, Cornwall TR10 9EZ, UK. Hellenic Centre for Marine Research (HCMR), 11527 Athens, Greece. Earth Observation Science (EOS), Plymouth Marine Laboratory (PML), Plymouth PL1 3DH, UK. King Abdullah University of Science and Technology (KAUST) |
format |
Article in Journal/Newspaper |
author |
Papagiannopoulos, Nikolaos Raitsos, Dionysios E. Krokos, Georgios Gittings, John Brewin, Robert J. W. Papadopoulos, Vassilis P. Pavlidou, Alexandra Selmes, Nick Groom, Steve Hoteit, Ibrahim |
spellingShingle |
Papagiannopoulos, Nikolaos Raitsos, Dionysios E. Krokos, Georgios Gittings, John Brewin, Robert J. W. Papadopoulos, Vassilis P. Pavlidou, Alexandra Selmes, Nick Groom, Steve Hoteit, Ibrahim Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea |
author_facet |
Papagiannopoulos, Nikolaos Raitsos, Dionysios E. Krokos, Georgios Gittings, John Brewin, Robert J. W. Papadopoulos, Vassilis P. Pavlidou, Alexandra Selmes, Nick Groom, Steve Hoteit, Ibrahim |
author_sort |
Papagiannopoulos, Nikolaos |
title |
Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea |
title_short |
Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea |
title_full |
Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea |
title_fullStr |
Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea |
title_full_unstemmed |
Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea |
title_sort |
phytoplankton biomass and the hydrodynamic regime in neom, red sea |
publisher |
MDPI AG |
publishDate |
2021 |
url |
http://hdl.handle.net/10754/669263 https://doi.org/10.3390/rs13112082 |
long_lat |
ENVELOPE(-64.225,-64.225,-64.727,-64.727) |
geographic |
Dream Island |
geographic_facet |
Dream Island |
genre |
Dream Island |
genre_facet |
Dream Island |
op_relation |
https://www.mdpi.com/2072-4292/13/11/2082 Papagiannopoulos, N., Raitsos, D., Krokos, G., Gittings, J., Brewin, R., Papadopoulos, V., … Hoteit, I. (2021). Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea. Remote Sensing, 13(11), 2082. doi:10.3390/rs13112082 2072-4292 doi:10.3390/rs13112082 http://hdl.handle.net/10754/669263 Remote Sensing 13 11 2082 |
op_rights |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs13112082 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
11 |
container_start_page |
2082 |
_version_ |
1766398279711457280 |
spelling |
ftkingabdullahun:oai:repository.kaust.edu.sa:10754/669263 2023-05-15T16:02:37+02:00 Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea Papagiannopoulos, Nikolaos Raitsos, Dionysios E. Krokos, Georgios Gittings, John Brewin, Robert J. W. Papadopoulos, Vassilis P. Pavlidou, Alexandra Selmes, Nick Groom, Steve Hoteit, Ibrahim Marine Science Biological and Environmental Sciences and Engineering (BESE) Division Earth Science and Engineering Program Physical Science and Engineering (PSE) Division Marine Science Program Department of Biology, National and Kapodistrian University of Athens, 15772 Athens, Greece. Centre for Geography and Environmental Science, College of Life and Environmental Sciences, Penryn Campus, University of Exeter, Cornwall TR10 9EZ, UK. Hellenic Centre for Marine Research (HCMR), 11527 Athens, Greece. Earth Observation Science (EOS), Plymouth Marine Laboratory (PML), Plymouth PL1 3DH, UK. King Abdullah University of Science and Technology (KAUST) 2021-05-25 http://hdl.handle.net/10754/669263 https://doi.org/10.3390/rs13112082 en eng MDPI AG https://www.mdpi.com/2072-4292/13/11/2082 Papagiannopoulos, N., Raitsos, D., Krokos, G., Gittings, J., Brewin, R., Papadopoulos, V., … Hoteit, I. (2021). Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea. Remote Sensing, 13(11), 2082. doi:10.3390/rs13112082 2072-4292 doi:10.3390/rs13112082 http://hdl.handle.net/10754/669263 Remote Sensing 13 11 2082 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. https://creativecommons.org/licenses/by/4.0/ CC-BY Article 2021 ftkingabdullahun https://doi.org/10.3390/rs13112082 2021-05-29T17:16:56Z NEOM (short for Neo-Mustaqbal) is a $500 billion coastal city megaproject, currently under construction in the northwestern part of the Red Sea, off the coast of Tabuk province in Saudi Arabia, and its success will rely on the preservation of biodiverse marine ecosystems. Monitoring the variability of ecological indicators, such as phytoplankton, in relation to regional environmental conditions, is the foundation for such a goal. We provide a detailed description of the phytoplankton seasonal cycle of surface waters surrounding NEOM using satellite-derived chlorophyll-a (Chl-a) observations, based on a regionally-tuned product of the European Space Agency’s Ocean Colour Climate Change Initiative, at 1 km resolution, from 1997 to 2018. The analysis is also supported with in situ cruise datasets and outputs of a state-of-the-art high-resolution hydrodynamic model. The open waters of NEOM follow the oligotrophic character of the Northern Red Sea (NRS), with a peak during late winter and a minimum during late summer. Coral reef-bound regions, such as Sindala and Sharma, are characterised by higher Chl-a concentrations that peak during late summer. Most of the open waters around NEOM are influenced by the general cyclonic circulation of the NRS and local circulation features, while shallow reef-bound regions are more isolated. Our analysis provides the first description of the phytoplankton seasonality and the oceanographic conditions in NEOM, which may support the development of a regional marine conservation strategy. The study was partly supported by the Center of Excellence NEOM at King Abdullah University of Science and Technology (KAUST) and by NEOM through Beacon Development Company (BDC) at KAUST. The research made use of the Supercomputing Laboratory resources at KAUST. The authors thank the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) and the European Space Agency (ESA) for supplying over 20 years of high-resolution satellite-derived ocean colour data for this study. We also thank all the members and the crew of the R/V Thuwal and R/V Dream Island, who participated in the cruises that provided the in situ data. Article in Journal/Newspaper Dream Island King Abdullah University of Science and Technology: KAUST Repository Dream Island ENVELOPE(-64.225,-64.225,-64.727,-64.727) Remote Sensing 13 11 2082 |