The Use of Ocean-Colour Data to Estimate Chl-a Trends in European Seas

Coppini, Giovanni; Lyubarstev, Vladyslav; Pinardi, Nadia; Colella, Simone; Santoleri, Rosalia; Christiansen, Trine

doi:10.4236/ijg.2013.46087

Cited by 14 publications

(19 citation statements)

References 40 publications

(61 reference statements)

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“…Remote-sensing-derived sea surface chlorophyll-a concentration (chl-a) is widely used as a proxy of phytoplankton biomass in marine systems [27]. However, during the stratification period in the Mediterranean, optimal conditions of light and nutrient availability occur associated with the thermocline rather than at the sea surface, resulting in the well-described 'deep chlorophyll-a maximum' [14].…”

Section: (Iii) the Productivity Cascadementioning

confidence: 99%

Oceanographic drivers and mistiming processes shape breeding success in a seabird

et al. 2016

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Understanding the processes driving seabirds' reproductive performance through trophic interactions requires the identification of seasonal pulses in marine productivity. We investigated the sequence of environmental and biological processes driving the reproductive phenology and performance of the storm petrel (Hydrobates pelagicus) in the Western Mediterranean. The enhanced light and nutrient availability at the onset of water stratification (late winter/early spring) resulted in annual consecutive peaks in relative abundance of phytoplankton, zooplankton and ichthyoplankton. The high energy-demanding period of egg production and chick rearing coincided with these successive pulses in food availability, pointing to a phenological adjustment to such seasonal patterns with important fitness consequences. Indeed, delayed reproduction with respect to the onset of water stratification resulted in both hatching and breeding failure. This pattern was observed at the population level, but also when confounding factors such as individuals' age or experience were also accounted for. We provide the first evidence of oceanographic drivers leading to the optimal time-window for reproduction in an inshore seabird at southern European latitudes, along with a suitable framework for assessing the impact of environmentally driven changes in marine productivity patterns in seabird performance.

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Section: (Iii) the Productivity Cascadementioning

confidence: 99%

Oceanographic drivers and mistiming processes shape breeding success in a seabird

et al. 2016

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“…Chlorophyll trends were computed for the mean values of the high and the low production periods of each year. The idea for such a discrimination originated from the study of Coppini et al [29] where a chl-a trend calculation was conducted for the summer (May-September) period aiming toward the development of an indicator for eutrophication based on ocean color data that monitors eutrophication trends. In addition, the above mentioned feature differentiates the present study from the several others addressing this topic.…”

Section: Methodsmentioning

confidence: 99%

“…Chlorophyll trends, giving a strong sign for phytoplankton abundance trends, have been computed at global scales, usually together with SST co-variations [24,27,28], as well as for the Med [11,[29][30][31][32], with controversial results dependent on the study period. The recent study of Salgado-Hernanz et al [32], analyzing 17 years' worth of data, has not only discriminated chlorophyll variations in seasonal, irregular, and interannual components before computing the trends, but has also estimated trends of phenological indices such as the timing of chlorophyll peak.…”

Section: Introductionmentioning

confidence: 99%

“…The use of this long time series for the estimation of chlorophyll trends in the E Med was a secondary goal of this study since the analysis of chlorophyll trends for the entire Med has already been addressed several times [11,[29][30][31][32]. For this aim, chl-a trends were computed with the use of a simple methodology, and separately for the low and the high production periods.…”

Section: Introductionmentioning

confidence: 99%

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Chlorophyll in the Eastern Mediterranean Sea: Correlations with Environmental Factors and Trends

Kotta

Kitsiou

2019

Environments

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The research on marine chlorophyll concentrations, as indicators of phytoplankton abundance, their relations with environmental parameters, and their trends is of global interest. It is also crucial when referring to oligotrophic environments where maintenance or increase in primary production is vital. The present study focuses on the Eastern Mediterranean Sea that is in general oligotrophic. Its primary goal is to explore possible relations between surface chlorophyll-a concentrations and environmental factors. The involved parameters are the sea surface temperature, the wind speed, the wave height, the precipitation, and the mean sea level pressure; their relation with chlorophyll is assessed through the calculation of the relevant correlation coefficients, based on monthly satellite-derived and numerical model data for the period 1998–2016. The results show that chlorophyll relates inversely with sea surface temperature; in general positively with wind speed and wave height; positively, although weaker, with precipitation; and negatively, but area and season limited, with mean sea level pressure. These correlations are stronger over the open southern part of the study area and strongly dependent on the season. A secondary aim of the study is the estimation of chlorophyll trends for the same time interval, which is performed separately for the low and the high production periods. The statistically significant results reveal only increasing local chlorophyll trends that, for each period, mainly characterize the eastern and the western part of the area, respectively.

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“…Behrenfeld et al 2006;Martinez et al 2009;Mélin 2009, 2011) but the inclusion of other subsequent missions in the overall data record is now necessary to extend the temporal basis of such analyses. Several investigations for local or global applications actually used the SeaWiFS record with data from other missions (McClain, Signorini, and Christian 2004;Djavidnia 2009, Mélin et al 2011;Kahru et al 2012;Bélanger, Babin, and Tremblay 2013;Coppini et al 2013;Saulquin et al 2013;Gregg and Casey 2010;Gregg and Roussseaux 2014;Park et al 2015;Signorini, Franz, and McClain 2015), and various merging techniques were proposed to combine data sets from multiple missions (Kwiatkowska and Fargion 2003;Maritorena and Siegel 2005;Pottier et al 2006;Mélin et al 2011;IOCCG 2007).…”

Section: Introductionmentioning

confidence: 99%

Impact of inter-mission differences and drifts on chlorophyll-atrend estimates

Mélin

2016

International Journal of Remote Sensing

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The chlorophyll-a (chl-a) concentration is an Essential Climate Variable, and the study of its variability at global scale requires a succession of satellite ocean colour missions to cover a period suitable for climate research. In the context of a multi-mission data record, inter-mission differences can introduce artefacts affecting trend evaluations, and the impact of the bias between the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) chl-a products is shown to be significant in a substantial part of the ocean. The assessment of trends can also be directly impacted by a drift in the chl-a time series resulting from sensor functions. These issues are addressed by a sensitivity analysis that compares slopes of linear regression obtained for varying levels of intermission bias and drift with respect to a 15-year reference series built with SeaWiFS and MODIS data. The relationship, constructed for a representative set of ocean provinces, between bias and the level of significance associated with the comparison of slopes shows that a bias on the order of ±5-6% generally induces a slope that is significantly different from the reference case, while a threshold on bias values not exceeding 2% largely alleviates this effect. Moreover, the study suggests that a drift larger than 2% per decade on the chl-a series can result in misleading conclusions from a trend analysis. All results have a clear regional dependence that needs to be taken into account in bias-correction and merging efforts. Low chl-a regions, such as the oligotrophic subtropical gyres, appear particularly sensitive to perturbations and require still higher levels of consistency and stability.ARTICLE HISTORY

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The Use of Ocean-Colour Data to Estimate Chl-a Trends in European Seas

Cited by 14 publications

References 40 publications

Oceanographic drivers and mistiming processes shape breeding success in a seabird

Oceanographic drivers and mistiming processes shape breeding success in a seabird

Chlorophyll in the Eastern Mediterranean Sea: Correlations with Environmental Factors and Trends

Impact of inter-mission differences and drifts on chlorophyll-atrend estimates

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