Exploiting oceanographic satellite data to study the small scale coastal dynamics in a NE Atlantic open embayment

Sánchez-Carnero, Noela; Couñago, Elena; Rodríguez‐Pérez, Daniel; Freire, Juan

doi:10.1016/j.jmarsys.2011.03.007

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…The sediment core was taken close to the mouth of Corcubión Inlet (24 m depth), where hydrographical fronts or pycnoclines inside the Sound may occur as result of shoreline and upwelling development (Varela et al, 2010;Sánchez-Carnero et al, 2011). The frontier zone between the inner and the outer parts of the Sound may be an area of sedimentation of SPM and phytoplankton.…”

Section: Allochthonous Sources Of Metals In the Sound: Anthropogenic mentioning

confidence: 99%

Trace metals in the NE Atlantic coastal zone of Finisterre (Iberian Peninsula): Terrestrial and marine sources and rates of sedimentation

Prego¹,

Santos-Echeandía²,

Bernárdez³

et al. 2013

Journal of Marine Systems

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Abstract. The biogeochemical patterns of bioactive metals (Cd, Co, Cu, Ni, V and Zn) and Pb were studied in the Corcubión Sound, an area close to Cape Finisterre (NW Iberian Peninsula). Seasonal patterns of dissolved and particulate trace metals in the freshwater and seawater, as well as in the phytoplankton were determined during three upwelling events in the winter, late spring and summer of 2005. Metals were also analysed in the surface and to 1 m-depth in the sediments. Upwelling patterns permit the discrimination between those of the outer Sound and Corcubión Inlet. Dissolved trace metals concentrations in the seawater of the outer Sound were in the range of those reported for the Northeast Atlantic Ocean. Mean values of dissolved metals concentrations in the upwelled ENACW were: 0.07±0.03 nMCd, 0.11±0.02 nMCo, 2.6±1.6 nMCu, 4.6±0.6 nMNi, 0.20±0.10 nMPb, 31±2 nMV and 3.8±2.3 nMZn. Higher values for dissolved Co, Cu and Zn were measured in two inflowing streams and in the Inlet. A severe-moderate contamination of these metals and Pb was detected in the sediments of the Inlet. Three different sediment layers were observed in cores located at the outer-Inlet boundary. The most recent showed the highest mass accumulation rates, mainly of Cu (e.g. 428 mgCu m -2 yr -1 ), Pb and Zn, during the last decade. The intermediate unit corresponds to the 20 th century (e.g. 39 mgCu m -2 yr -1 ) and the deeper layer from the 19 th to 14 th centuries can be regarded as representing the pre-industrial period, and show the lowest rates of metal accumulation (e.g. 7 mgCu m -2 yr -1 ). Diatoms were the main autochthonous source of metals in the sediments. The genus Chaetoceros, Lauderia dominates in the overlaying seawater during winter and Pseudonitzschia and Leptocylindrus were typical of summer blooms whilst in the sediments Chaetoceros, Paralia, Leptocylindrus and Thalassionema were the main diatoms genera. The comparison of the normalized metal vs. Si in the phytoplankton and vs Si in the biogenic opal of the sediment shows a prevailing lithogenic-anthropogenic origin of metals such as Cu, Fe, Ni, Pb and V while the upwelling was the main source for Cd in the sediments because of settling of diatoms. The continental influence and metal contamination is restricted to the innermost part of Sound during the last century where the anthropogenic activities supply Cd, Cu, Pb and Zn. Seasonally, dissolved trace metals concentrations in the outer Sound are within the normal range measured in the north-eastern Atlantic Ocean. The Sound system is pristine compared with the neighbouring and anthropogenically disturbed Rias, and may be a good reference of natural trace metal levels along the north-eastern Atlantic coast.

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Section: Allochthonous Sources Of Metals In the Sound: Anthropogenic mentioning

confidence: 99%

Trace metals in the NE Atlantic coastal zone of Finisterre (Iberian Peninsula): Terrestrial and marine sources and rates of sedimentation

Prego¹,

Santos-Echeandía²,

Bernárdez³

et al. 2013

Journal of Marine Systems

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“…Chl-a, K490, and SST parameters can provide a comprehensive picture of the biophysical properties of both oceanic and coastal surface waters, e.g., [11,60,61]. Chl-a and SST are considered ECVs, which, together with turbidity, are used by the Marine Strategy Frame-work Directive (MSDF) for assessing the Good Environmental Status (GES).…”

Section: Discussionmentioning

confidence: 99%

“…Chl-a and SST are considered ECVs, which, together with turbidity, are used by the Marine Strategy Frame-work Directive (MSDF) for assessing the Good Environmental Status (GES). In addition, SST, Chl-a, and K490 are among the marine biophysical parameters strongly influencing the distribution of pelagic fish, e.g., due to their effects on, for example, recruitment, survival conditions, distribution, migration patterns, feeding rate, or spawning, e.g., [60][61][62][63][64][65][66][67][68].…”

Section: Discussionmentioning

confidence: 99%

Using Satellite-Based Data to Facilitate Consistent Monitoring of the Marine Environment around Ireland

2022

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As an island nation, Ireland needs to ensure effective management measures to protect marine ecosystems and their services, such as the provision of fishery resources. The characterization of marine waters using satellite data can contribute to a better understanding of variations in the upper ocean and, consequently, the effect of their changes on species populations. In this study, nineteen years (1998–2016) of monthly data of essential climate variables (ECVs), chlorophyll (Chl-a), and the diffuse attenuation coefficient (K490) were used, together with previous analyses of sea surface temperature (SST), to investigate the temporal and spatial variability of surface waters around Ireland. The study area was restricted to specific geographically delineated divisions, as defined by the International Council of the Exploration of the Seas (ICES). The results showed that SST and Chl-a were positively and significantly correlated in ICES divisions corresponding to oceanic waters, while in coastal divisions, SST and Chl-a showed a significant negative correlation. Chl-a and K490 were positively correlated in all cases, suggesting an important role of phytoplankton in light attenuation. Chl-a and K490 had significant trends in most of the divisions, reaching maximum values of 1.45% and 0.08% per year, respectively. The strongest seasonal Chl-a trends were observed in divisions VIId and VIIe (the English Channel), primarily in the summer months, followed by northern divisions VIa (west of Scotland) and VIb (Rockall) in the winter months.

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“…The GLM can express a number of statistical models by changing the distribution and the link function, such as the normal linear regression model, the logistic regression model, and the probit model, which are currently commonly used in a number of applied fields (cf. Barnett & Nurmagambetov, ; Matas et al ., ; Sanchez‐Carneo et al ., ; Teste & Lieffers, ). Practically speaking, the GLM can be easily fitted to real data using the ‘glm’ function in ‘R’ (R Development Core Team, ), which implements a number of distributions and link functions.…”

Section: Introductionmentioning

confidence: 99%

Simple Formula for Calculating Bias‐corrected AIC in Generalized Linear Models

Imori

Yanagihara

Wakaki

2013

Scandinavian J Statistics

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In real-data analysis, deciding the best subset of variables in regression models is an important problem. Akaike's information criterion (AIC) is often used in order to select variables in many fields. When the sample size is not so large, the AIC has a non-negligible bias that will detrimentally affect variable selection. The present paper considers a bias correction of AIC for selecting variables in the generalized linear model (GLM). The GLM can express a number of statistical models by changing the distribution and the link function, such as the normal linear regression model, the logistic regression model, and the probit model, which are currently commonly used in a number of applied fields. In the present study, we obtain a simple expression for a biascorrected AIC (corrected AIC, or CAIC) in GLMs. Furthermore, we provide an 'R' code based on our formula. A numerical study reveals that the CAIC has better performance than the AIC for variable selection.

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Exploiting oceanographic satellite data to study the small scale coastal dynamics in a NE Atlantic open embayment

Cited by 5 publications

References 37 publications

Trace metals in the NE Atlantic coastal zone of Finisterre (Iberian Peninsula): Terrestrial and marine sources and rates of sedimentation

Trace metals in the NE Atlantic coastal zone of Finisterre (Iberian Peninsula): Terrestrial and marine sources and rates of sedimentation

Using Satellite-Based Data to Facilitate Consistent Monitoring of the Marine Environment around Ireland

Simple Formula for Calculating Bias‐corrected AIC in Generalized Linear Models

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