Phytoplankton along the coastal shelf of an oligotrophic hypersaline environment in a semi-enclosed marginal sea: Qatar (Arabian Gulf)

Quigg, Antonietta; Al-Ansi, Mohsin; Din, Nehad Nour Al; Wei, Chih‐Lin; Nunnally, Clifton C.; Al-Ansari, I. S.; Rowe, Gilbert T.; Soliman, Yousria; Al-Maslamani, Ibrahim; Mahmoud, Ismail Sami; Youssef, Nabiha; Abdel-Moati, Mohamed A.

doi:10.1016/j.csr.2013.04.015

Cited by 42 publications

(17 citation statements)

References 36 publications

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“…The high surface layer SSC (lower PAR) in the ECS coastal regions may limit phytoplankton growth, resulting in lower lipid concentration. Such correlation has been also observed in other marginal seas such as marginal ice zones [ Fitch and Moore , ], the coastal waters surrounding Qatar (Arabian Gulf) [ Quigg et al ., ], and Irish estuaries and nearshore coastal waters [ O ' Boyle et al ., ].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Duan

et al. 2016

JGR Biogeosciences

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The East China Sea (ECS) and the Southern Yellow Sea (SYS) ecosystem is undergoing dramatic changes, but the spatiotemporal patterns and forcing mechanisms of phytoplankton variations remain understudied. Phytoplankton lipid biomarkers are useful proxies for productivity and community structure changes, and they were measured in suspended particles of more than 81 sites from spring and summer of 2011 in the ECS and SYS. In spring, the concentrations of brassicasterol (4.7-127 ng L À1 ) and dinosterol (0.7-37 ng L À1 ) were markedly higher in the northern and central SYS, while C 37 alkenones (0-15 ng L À1 ) were detected at only seven sites in the ECS. In summer, brassicasterol (25.3-1178 ng L À1 ) and dinosterol (0-125 ng L À1 ) showed high values off the Changjiang River Estuary (CRE), while C 37 alkenones (0-410 ng L À1 ) had high values in the northwest and central SYS. The mean concentrations of the three lipid biomarkers in summer were 3 to 61 times higher than those in spring. Spatiotemporal patterns of biomarkers reveal higher ratios of diatom/dinoflagellate and diatom/haptophyte in higher productivity areas, off the CRE in summer and the northern and central SYS in spring. This study validates the applicability of brassicasterol, dinosterol, and alkenones as proxies of productivity and community structure of the three phytoplankton taxa: diatoms, dinoflagellates, and haptophytes. The results indicate that nutrients (in summer) and turbidity-induced photosynthetic available radiation (in spring) play important roles in regulating spatiotemporal variations of phytoplankton in the ECS and SYS.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Duan

et al. 2016

JGR Biogeosciences

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“…Reducing nitrogen load is considered as the key factor to reduce the phytoplankton biomass and alleviate the summer bottom hypoxia in NGOM [42]. N limitation of primary productivity has been reported in coastal ecosystems worldwide including the Baltic Sea [19], the Qatar peninsula in the Arabian Sea [25] and many other places as summarized in recent reviews by Howarth and Marino [43] and Paerl [44].…”

Section: Discussionmentioning

confidence: 99%

Nutrient Limitation in Northern Gulf of Mexico (NGOM): Phytoplankton Communities and Photosynthesis Respond to Nutrient Pulse

Zhao

Quigg

2014

PLoS ONE

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Although the Mississippi-Atchafalaya River system exports large amounts of nutrients to the Northern Gulf of Mexico annually, nutrient limitation of primary productivity still occurs offshore, acting as one of the major factors controlling local phytoplankton biomass and community structure. Bioassays were conducted for 48 hrs at two stations adjacent to the river plumes in April and August 2012. High Performance of Liquid Chromatography (HPLC) combined with ChemTax and a Fluorescence Induction and Relaxation (FIRe) system were combined to observe changes in the phytoplankton community structure and photosynthetic activity. Major fluorescence parameters (Fo, Fv/Fm) performed well to reveal the stimulating effect of the treatments with nitrogen (N-nitrate) and with nitrogen plus phosphate (+NPi). HPLC/ChemTax results showed that phytoplankton community structure shifted with nitrate addition: we observed an increase in the proportion of diatoms and prasinophytes and a decrease in cyanobacteria and prymnesiophytes. These findings are consistent with predictions from trait-based analysis which predict that phytoplankton groups with high maximum growth rates (μmax) and high nutrient uptake rates (Vmax) readily take advantage of the addition of limiting nutrients. Changes in phytoplankton community structure, if persistent, could trigger changes of particular organic matter fluxes and alter the micro-food web cycles and bottom oxygen consumption.

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“…More than 1,480 eukaryotic and prokaryotic primary producers have been described for the Gulf region (Jacob and Al-Muzaini, 1995) with Subba Rao and Al-Yamani (1998) identifying a dominance of epiphytic, tycho-pelagic diatoms to the north and a mix of diatoms and dinoflagellates to the south. Several papers report on these Gulf differences (Dorgham and Moftah, 1989;Al-Yamani et al, 2006;Nezlin et al, 2010;Quigg et al, 2013;Polikarpov et al, 2016) with a general agreement that there are two main regions in the Gulf along a diagonal northwest-southeast axis, with diatomdominated phytoplankton assemblage off the south and along the Iranian coast but with flagellate-dominated phytoplankton in the north and along the Arabian coast (Polikarpov et al, 2016). Changes in the Gulf phytoplankton community have been attributed to nutrient increases (El-Gindy and Dorgham, 1992;Al-Azri et al, 2014;Devlin et al, 2015a), and salinityrelated changes, particularly in the Northern Gulf region (Al-Said et al, 2017;Ben-Hasan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Temporal Drivers Influencing Phytoplankton Community in Kuwait Marine Waters: Documenting a Changing Landscape in the Gulf

et al. 2019

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This assessment of environmental drivers and phytoplankton community in Kuwait (Arabian Gulf) describes changes in environmental conditions linked to the rapid urbanization over recent decades. To describe these changes, we have analyzed a longterm water quality dataset (1984-2017) and explored potential changes in a subset of phytoplankton community data by analyzing 10 years of phytoplankton data available (2007-2016) for Kuwait Bay and the Northern Gulf waters. The longer-term water quality data show that dissolved nutrient concentrations, with the exception of a recent fall in SiO 4 , have been increasing over 30 years, but with a high degree of variability reflecting the changing rate of inputs from river outflows and point sewage sources. The correlative analysis between the environmental parameters and phytoplankton in the period from 2007 to 2016 shows that the seasonal variability of the phytoplankton are influenced by several co-stressors including higher temperatures, coastal sewage runoff and changing salinity. While the extended nutrient enrichment has changed the trophic state of Kuwait waters, the seasonal and temporal correlations highlight that recent changes in phytoplankton community seem to be responding to cumulative pressures of eutrophication, climate, and salinity changes. The seasonal and temporal changes in the coastal phytoplankton community, responding to co-stressors, present challenges for managers to consider the simultaneous management of local, regional and external pressures. Continued declines in water quality within a system that is influenced by a warming climate can potentially have long-term consequences on the resilience of the Northern Gulf environment.

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Phytoplankton along the coastal shelf of an oligotrophic hypersaline environment in a semi-enclosed marginal sea: Qatar (Arabian Gulf)

Cited by 42 publications

References 36 publications

Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Nutrient Limitation in Northern Gulf of Mexico (NGOM): Phytoplankton Communities and Photosynthesis Respond to Nutrient Pulse

Seasonal and Temporal Drivers Influencing Phytoplankton Community in Kuwait Marine Waters: Documenting a Changing Landscape in the Gulf

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