Relationships between suspended particulate material, light attenuation and Secchi depth in UK marine waters

Devlin, Michelle; Barry, Jon; Mills, David K.; Gowen, Richard J.; Foden, Jo; Sivyer, D. B.; Tett, Paul

doi:10.1016/j.ecss.2008.04.024

Cited by 143 publications

(89 citation statements)

References 42 publications

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“…These elements, together with geomorphological and tide characteristics, determine the type of estuary (Harrison, 2004), and, to some extent, the biological communities that the transitional waters can support. Hence, they have been used, under some legislation, as key elements in assessing ecological quality, that is, oxygen (Best et al, 2007a), nutrients (Devlin et al, 2007), or suspended solids (Bilotta and Brazier, 2008;Devlin et al, 2008).…”

Section: Classifying Biological Quality Elementsmentioning

confidence: 99%

Classifying Ecological Quality and Integrity of Estuaries

Borja¹,

Basset²,

Bricker³

et al. 2011

Treatise on Estuarine and Coastal Science

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There is an increasing need in assessing ecological quality and integrity of estuaries and lagoons. This chapter shows the most recent efforts in assessing individual biological elements (from phytoplankton to fishes), together with the integrative tools developed in different geographical areas worldwide. However, reducing complex information from multiple ecosystem elements to a single color or value is a substantial challenge to marine scientists, and requires the integration of different disciplines (chemists, engineers, biologists, ecologists, physics, managers, etc.), to reach agreement on the final assignment of ecological status. Hence, in the near future, emphasis needs to be directed at understanding the complexities of estuarine system functioning rather than simplifying and scaling down the system into smaller components. Provided for non-commercial research and educational use.Not for reproduction, distribution or commercial use.This chapter was originally published in Treatise on Estuarine and Coastal Science, published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit of the author's institution, for noncommercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who you know, and providing a copy to your institution's administrator.All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution's website or repository, are prohibited.For exceptions, permission may be sought for such use through Elsevier's permissions site at: Author's personal copy AbstractThere is an increasing need in assessing ecological quality and integrity of estuaries and lagoons. This chapter shows the most recent efforts in assessing individual biological elements (from phytoplankton to fishes), together with the integrative tools developed in different geographical areas worldwide. However, reducing complex information from multiple ecosystem elements to a single color or value is a substantial challenge to marine scientists, and requires the integration of different disciplines (chemists, engineers, biologists, ecologists, physics, managers, etc.), to reach agreement on the final assignment of ecological status. Hence, in the near future, emphasis needs to be directed at understanding the complexities of estuarine system functioning rather than simplifying and scaling down the system into smaller components.

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Section: Classifying Biological Quality Elementsmentioning

confidence: 99%

Classifying Ecological Quality and Integrity of Estuaries

Borja¹,

Basset²,

Bricker³

et al. 2011

Treatise on Estuarine and Coastal Science

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“…The growth rate for each group is calculated as the product of biomass concentration and the variable light and nutrient factors. The light factor in the upper layer is calculated from surface observations of solar radiation and a mean attenuation parameter (K d ), which agreed with the value derived from the mean Secchi disk depth using the empirical formula for transitional waters of Devlin et al (2008). The growth factor is calculated using the Michaelis-Menten relation Peterson 1979, Moisan et al 2005), in which the halfsaturation values are specified from literature values and the calibrated value of Mu_max was held to within its published range.…”

Section: Phytoplanktonmentioning

confidence: 94%

Progress Toward Sustainable Mussel Aquaculture in Mar Piccolo, Italy

Caroppo¹,

Giordano²,

Palmieri³

et al. 2012

E&S

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ABSTRACT. Mar Piccolo of Taranto is an estuarine basin heavily exploited for commercial mussel (Mytilus galloprovincialis L.) farming. The historical renown of the Taranto mussels has suffered over the last decade following policy decisions to expand the mussel farms and to relocate a portion of the urban sewage to an outfall outside of Mar Piccolo. The resulting decline in mussel quality and the quandary of how to restore stability to Taranto mussel production became the focal issue for our application of the systems approach framework (SAF). We simulated the ecological, economic, and social interactions that affect mussel production. Stakeholders and mussel farmers contributed by participating in meetings during the entire exercise. Our simulation analysis provided them with a means for understanding the effects of policy scenarios on the system. We present three aspects from our initial results that demonstrate the value of the SAF, as: (1) an operational model to monitor and better research the status of the ecosystem, (2) a management tool to evaluate sustainable mussel farming strategies, and (3) an opportunity for improved communication with and engagement of stakeholders, policy, and the public. The application has also raised important questions about how the food chain is controlled, what could be changed to stabilize the ecosystem to a higher level of productivity, and what role the public and policy could play in promoting sustainable development.

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“…Light absorption by suspended particulates is essential for several photochemical processes related to the carbon cycle (e.g., photosynthesis, production of dissolved inorganic and organic carbon) (Estapa et al, 2012). Lastly, the concentration of SPM is an important variable for modeling thermodynamic processes and computing heat budgets (Löptien and Meier, 2011) due to its influence on underwater light attenuation (Morel and Antoine, 1994;Devlin et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Optical properties of size fractions of suspended particulate matter in littoral waters of Québec

Mohammadpour

Gagné

Larouche³

et al. 2017

Biogeosciences

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Abstract. Mass-specific absorption (a i * (λ)) and scattering (b i * (λ)) coefficients were derived for four size fractions (i = 0.2-0.4, 0.4-0.7, 0.7-10, and > 10 µm, λ = wavelength in nm) of suspended particulate matter (SPM) and with samples obtained from surface waters (i.e., 0-2 m depth) of the Saint Lawrence Estuary and Saguenay Fjord (SLE-SF) during June of 2013. For the visible-near-infrared spectral range (i.e., λ = 400-710 nm), mass-specific absorption coefficients of total SPM (i.e., particulates > 0.2 µm) (hereafter a SPM * ) had low values (e.g., < 0.01 m 2 g −1 at λ = 440 nm) in areas of the lower estuary dominated by particle assemblages with relatively large mean grain size and high particulate organic carbon and chlorophyll a per unit of mass of SPM. Conversely, largest a SPM * values (i.e., > 0.05 m 2 g −1 at λ = 440 nm) corresponded with locations of the upper estuary and SF where particulates were mineral-rich and/or their mean diameter was relatively small. The variability of two optical proxies (the spectral slope of particulate beam attenuation coefficient and the mass-specific particulate absorption coefficient, hereafter γ and Svis, respectively) with respect to changes in particle size distribution (PSD) and chemical composition was also examined. The slope of the PSD was correlated with b i * (550) (Spearman rank correlation coefficient ρ s up to 0.37) and a i * (440) estimates (ρ s up to 0.32) in a comparable way. Conversely, the contribution of particulate inorganic matter to total mass of SPM (F SPM PIM ) had a stronger correlation with a i * coefficients at a wavelength of 440 nm (ρ s up to 0.50). The magnitude of γ was positively related to F SPM i or the contribution of size fraction i to the total mass of SPM (ρ s up to 0.53 for i = 0.2-0.4 µm). Also, the relation between γ and F SPM PIM variability was secondary (ρ s = −0.34, P > 0.05). Lastly, the magnitude of Svis was inversely correlated with a SPM * (440) (ρ s = −0.55, P = 0.04) and F SPM PIM (ρ s = −0.62, P = 0.018) in sampling locations with a larger marine influence (i.e., lower estuary).

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Relationships between suspended particulate material, light attenuation and Secchi depth in UK marine waters

Cited by 143 publications

References 42 publications

Classifying Ecological Quality and Integrity of Estuaries

Classifying Ecological Quality and Integrity of Estuaries

Progress Toward Sustainable Mussel Aquaculture in Mar Piccolo, Italy

Optical properties of size fractions of suspended particulate matter in littoral waters of Québec

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