Products

Products summary

 

Here you can find a comprehensive list of NECCTON products.This includes selected high-level information, offering readers and product users an insightful overview of the data provided by NECCTON. Additionally, it provides identifiers for easy retrieval of both product and dataset specifications.

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1.10

Mesozooplankton biomass

Mesozooplankton are heterotrophic organisms in the size range from 0.2 to 20 mm.  Mesozooplankton move with ocean currents but can migrate vertically in the water column. Mesozooplankton generally feed on primary producers, microzooplankton and detritus particles. They are an important prey for fish larva and planktivorous fish and therefore represent an important link between primary producers and higher trophic levels. 


Product ID: 1.10

Datasets ID: H4

Region: Arctic

Arctic

HTL Model:

Partners: NERSC

1.20

Mesozooplankton biomass

Mesozooplankton are heterotrophic organisms in the size range from 0.2 to 20 mm.  Mesozooplankton move with ocean currents but can migrate vertically in the water column. Mesozooplankton generally feed on primary producers, microzooplankton and detritus particles. They are an important prey for fish larva and planktivorous fish and therefore represent an important link between primary producers and higher trophic levels. 


Product ID: 1.20

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

1.30

Mesozooplankton biomass

Mesozooplankton are heterotrophic organisms in the size range from 0.2 to 20 mm.  Mesozooplankton move with ocean currents but can migrate vertically in the water column. Mesozooplankton generally feed on primary producers, microzooplankton and detritus particles. They are an important prey for fish larva and planktivorous fish and therefore represent an important link between primary producers and higher trophic levels. 


Product ID: 1.30

Datasets ID: H5

Region: Baltic Sea

Baltic Sea

HTL Model:

Partners: BSH

1.40

Mesozooplankton biomass

Mesozooplankton are heterotrophic organisms in the size range from 0.2 to 20 mm.  Mesozooplankton move with ocean currents but can migrate vertically in the water column. Mesozooplankton generally feed on primary producers, microzooplankton and detritus particles. They are an important prey for fish larva and planktivorous fish and therefore represent an important link between primary producers and higher trophic levels. 


Product ID: 1.40

Datasets ID: H1

Region: Global

Global

HTL Model:

Partners: Moi

1.50

Mesozooplankton biomass

Mesozooplankton are heterotrophic organisms in the size range from 0.2 to 20 mm.  Mesozooplankton move with ocean currents but can migrate vertically in the water column. Mesozooplankton generally feed on primary producers, microzooplankton and detritus particles. They are an important prey for fish larva and planktivorous fish and therefore represent an important link between primary producers and higher trophic levels. 


Product ID: 1.50

Datasets ID: H36

Region: Iberia-Biscay-Ireland

Iberia-Biscay-Ireland

HTL Model:

Partners: CLS

2.10

Micronekton biomass

Micronekton is a group of marine organisms characterized by a size range from 2 to 20 cm. It gathers various taxa and encompasses crustaceans, fish, and cephalopods. It constitutes an intermediate compartment of the oceanic trophic web as it feeds on zooplankton and it is the main prey of larger marine predators. Micronekton is considered to be a key player in the biological pump. It performs diurnal vertical migration (DVM) based on predation pressure. These organisms migrate every day between the surface where they feed during the night, and the deep ocean where they hide from predators during the day. 


Product ID: 2.10

Datasets ID: H15

Region: Global

Global

HTL Model:

Partners: CLS

2.20

Micronekton biomass

Micronekton is a group of marine organisms characterized by a size range from 2 to 20 cm. It gathers various taxa and encompasses crustaceans, fish, and cephalopods. It constitutes an intermediate compartment of the oceanic trophic web as it feeds on zooplankton and it is the main prey of larger marine predators. Micronekton is considered to be a key player in the biological pump. It performs diurnal vertical migration (DVM) based on predation pressure. These organisms migrate every day between the surface where they feed during the night, and the deep ocean where they hide from predators during the day. 


Product ID: 2.20

Datasets ID: H36

Region: Iberia-Biscay-Ireland

Iberia-Biscay-Ireland

HTL Model:

Partners: CLS

3.10

Suspended Particulate Matter

Suspended particulate matter (SPM) is a collective term for the inorganic (e.g., mineral) and organic (e.g., detritus; see next section) particulates that are suspended in the water column. It is an indicator of sediment transport, water clarity and quality; and has important implications for pelagic and benthic productivity and erosion. It can also act as a vector for the transfers of pollutants and contaminants.


Product ID: 3.10

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

3.20

Suspended Particulate Matter

Suspended particulate matter (SPM) is a collective term for the inorganic (e.g., mineral) and organic (e.g., detritus; see next section) particulates that are suspended in the water column. It is an indicator of sediment transport, water clarity and quality; and has important implications for pelagic and benthic productivity and erosion. It can also act as a vector for the transfers of pollutants and contaminants.


Product ID: 3.20

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

4.10

Particulate Organic Matter

Particulate Organic Matter (POM) in the ocean is operationally defined as all combustible organic matter that can be retained on a filter (Kharbush et al. 2020). The filter mesh size is typically 0.7 µm. It is often discussed in terms of Particulate Organic Carbon (POC), which reflects the important role POC plays in the ocean carbon cycle. The definition explicitly excludes Particulate Inorganic Carbon (PIC). The finite mesh size means the contribution of organisms smaller than 0.7 µm – including most photosynthetic and non-photosynthetic prokaryotes – is not captured in measurements. At the other end of the size spectrum, the contribution of large, motile zooplankton is also not measured. Such organisms are either intentionally removed through filtering, or through sampling techniques which are designed to exclude larger, swimming organisms. 

The operational definition of POM and POC contrasts with the definition used in most marine ecosystem and biogeochemical models. In marine ecosystem models, POM tends to be exclusively made up of non-living detrital material, including faecal pellets, the bodies of dead organisms, or other aggregations of organic matter. 


Product ID: 4.10

Datasets ID: H4

Region: Arctic

Arctic

HTL Model:

Partners: NERSC

4.20

Particulate Organic Matter

Particulate Organic Matter (POM) in the ocean is operationally defined as all combustible organic matter that can be retained on a filter (Kharbush et al. 2020). The filter mesh size is typically 0.7 µm. It is often discussed in terms of Particulate Organic Carbon (POC), which reflects the important role POC plays in the ocean carbon cycle. The definition explicitly excludes Particulate Inorganic Carbon (PIC). The finite mesh size means the contribution of organisms smaller than 0.7 µm – including most photosynthetic and non-photosynthetic prokaryotes – is not captured in measurements. At the other end of the size spectrum, the contribution of large, motile zooplankton is also not measured. Such organisms are either intentionally removed through filtering, or through sampling techniques which are designed to exclude larger, swimming organisms. 

The operational definition of POM and POC contrasts with the definition used in most marine ecosystem and biogeochemical models. In marine ecosystem models, POM tends to be exclusively made up of non-living detrital material, including faecal pellets, the bodies of dead organisms, or other aggregations of organic matter. 


Product ID: 4.20

Datasets ID: H6

Region: Mediterranean Sea

Mediterranean Sea

HTL Model:

Partners: OGS

4.30

Particulate Organic Matter

Particulate Organic Matter (POM) in the ocean is operationally defined as all combustible organic matter that can be retained on a filter (Kharbush et al. 2020). The filter mesh size is typically 0.7 µm. It is often discussed in terms of Particulate Organic Carbon (POC), which reflects the important role POC plays in the ocean carbon cycle. The definition explicitly excludes Particulate Inorganic Carbon (PIC). The finite mesh size means the contribution of organisms smaller than 0.7 µm – including most photosynthetic and non-photosynthetic prokaryotes – is not captured in measurements. At the other end of the size spectrum, the contribution of large, motile zooplankton is also not measured. Such organisms are either intentionally removed through filtering, or through sampling techniques which are designed to exclude larger, swimming organisms. 

The operational definition of POM and POC contrasts with the definition used in most marine ecosystem and biogeochemical models. In marine ecosystem models, POM tends to be exclusively made up of non-living detrital material, including faecal pellets, the bodies of dead organisms, or other aggregations of organic matter. 


Product ID: 4.30

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

4.40

Particulate Organic Matter

Particulate Organic Matter (POM) in the ocean is operationally defined as all combustible organic matter that can be retained on a filter (Kharbush et al. 2020). The filter mesh size is typically 0.7 µm. It is often discussed in terms of Particulate Organic Carbon (POC), which reflects the important role POC plays in the ocean carbon cycle. The definition explicitly excludes Particulate Inorganic Carbon (PIC). The finite mesh size means the contribution of organisms smaller than 0.7 µm – including most photosynthetic and non-photosynthetic prokaryotes – is not captured in measurements. At the other end of the size spectrum, the contribution of large, motile zooplankton is also not measured. Such organisms are either intentionally removed through filtering, or through sampling techniques which are designed to exclude larger, swimming organisms. 

The operational definition of POM and POC contrasts with the definition used in most marine ecosystem and biogeochemical models. In marine ecosystem models, POM tends to be exclusively made up of non-living detrital material, including faecal pellets, the bodies of dead organisms, or other aggregations of organic matter. 


Product ID: 4.40

Datasets ID: H5

Region: Arctic

Arctic

HTL Model:

Partners: BSH

5.10

Dissolved Organic Matter

Dissolved Organic Matter (DOM) is dissolved matter originating from living matter that operationally is not retained by filtration. It can be produced in situ from phytoplankton, zooplankton and bacteria and can also be of terrestrial origin. It is further modified through bacterial utilisation.  Dissolved organic carbon is often separated into different fractions based on decomposition timescales into labile, semi-labile, semi-refractory and refractory pools. Commonly the refractory pool is not included within models as its turnover time is on the order of 100-1000s of years. 


Product ID: 5.10

Datasets ID: H4

Region: Arctic

Arctic

HTL Model:

Partners: NERSC

5.20

Dissolved Organic Matter

Dissolved Organic Matter (DOM) is dissolved matter originating from living matter that operationally is not retained by filtration. It can be produced in situ from phytoplankton, zooplankton and bacteria and can also be of terrestrial origin. It is further modified through bacterial utilisation.  Dissolved organic carbon is often separated into different fractions based on decomposition timescales into labile, semi-labile, semi-refractory and refractory pools. Commonly the refractory pool is not included within models as its turnover time is on the order of 100-1000s of years. 


Product ID: 5.20

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

5.30

Dissolved Organic Matter

Dissolved Organic Matter (DOM) is dissolved matter originating from living matter that operationally is not retained by filtration. It can be produced in situ from phytoplankton, zooplankton and bacteria and can also be of terrestrial origin. It is further modified through bacterial utilisation.  Dissolved organic carbon is often separated into different fractions based on decomposition timescales into labile, semi-labile, semi-refractory and refractory pools. Commonly the refractory pool is not included within models as its turnover time is on the order of 100-1000s of years. 


Product ID: 5.30

Datasets ID: H5

Region: Arctic

Arctic

HTL Model:

Partners: BSH

6.10

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.10

Datasets ID: O1

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: CNR

6.20

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.20

Datasets ID: O2

Region: Black Sea

Black Sea

HTL Model:

Partners: CNR

6.30

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.30

Datasets ID: O3

Region: Black Sea

Black Sea

HTL Model:

Partners: CNR

6.40

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.40

Datasets ID: H6

Region: Mediterranean Sea

Mediterranean Sea

HTL Model:

Partners: OGS

6.60

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.60

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

6.70

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.70

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

3.10

Suspended Particulate Matter

Suspended particulate matter (SPM) is a collective term for the inorganic (e.g., mineral) and organic (e.g., detritus; see next section) particulates that are suspended in the water column. It is an indicator of sediment transport, water clarity and quality; and has important implications for pelagic and benthic productivity and erosion. It can also act as a vector for the transfers of pollutants and contaminants.


Product ID: 3.10

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

3.20

Suspended Particulate Matter

Suspended particulate matter (SPM) is a collective term for the inorganic (e.g., mineral) and organic (e.g., detritus; see next section) particulates that are suspended in the water column. It is an indicator of sediment transport, water clarity and quality; and has important implications for pelagic and benthic productivity and erosion. It can also act as a vector for the transfers of pollutants and contaminants.


Product ID: 3.20

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL/Hereon

7.20

Bottom Oxygen

Bottom Oxygen concentration is an indicator of ecosystem health and particularly the presence of coastal hypoxia that often occurs at the bottom.   


Product ID: 7.20

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

7.30

Bottom Oxygen

Bottom Oxygen concentration is an indicator of ecosystem health and particularly the presence of coastal hypoxia that often occurs at the bottom.   


Product ID: 7.30

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

7.30

Bottom Oxygen

Bottom Oxygen concentration is an indicator of ecosystem health and particularly the presence of coastal hypoxia that often occurs at the bottom.   


Product ID: 7.30

Datasets ID: H5

Region: Black Sea

Black Sea

HTL Model:

Partners: BSH

7.40

Bottom Oxygen

Bottom Oxygen concentration is an indicator of ecosystem health and particularly the presence of coastal hypoxia that often occurs at the bottom.   


Product ID: 7.40

Datasets ID: H5

Region: Baltic Sea

Baltic Sea

HTL Model:

Partners: BSH

8.10

Bottom pH

Potential Hydrogen, better known as pH, is a measure of acidity/ basicity of a solution expressed on a logarithmic scale; a pH of 7 denotes a neutral solution whereas lower and higher values characterise more acidic and alkaline waters, respectively, compared to the neutral state.  Studies generally report pH on a concentration scale representing a measure of proton activity.  As a measure of acidification, pH represents an important indicator of ecosystem health.  


Product ID: 8.10

Datasets ID: H6

Region: Mediterranean Sea

Mediterranean Sea

HTL Model:

Partners: OGS

8.20

Bottom pH

Potential Hydrogen, better known as pH, is a measure of acidity/ basicity of a solution expressed on a logarithmic scale; a pH of 7 denotes a neutral solution whereas lower and higher values characterise more acidic and alkaline waters, respectively, compared to the neutral state.  Studies generally report pH on a concentration scale representing a measure of proton activity.  As a measure of acidification, pH represents an important indicator of ecosystem health.  


Product ID: 8.20

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

8.30

Bottom pH

Potential Hydrogen, better known as pH, is a measure of acidity/ basicity of a solution expressed on a logarithmic scale; a pH of 7 denotes a neutral solution whereas lower and higher values characterise more acidic and alkaline waters, respectively, compared to the neutral state.  Studies generally report pH on a concentration scale representing a measure of proton activity.  As a measure of acidification, pH represents an important indicator of ecosystem health.  


Product ID: 8.30

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

8.40

Bottom pH

Potential Hydrogen, better known as pH, is a measure of acidity/ basicity of a solution expressed on a logarithmic scale; a pH of 7 denotes a neutral solution whereas lower and higher values characterise more acidic and alkaline waters, respectively, compared to the neutral state.  Studies generally report pH on a concentration scale representing a measure of proton activity.  As a measure of acidification, pH represents an important indicator of ecosystem health.  


Product ID: 8.40

Datasets ID: H5

Region: Arctic

Arctic

HTL Model:

Partners: BSH

9.10

Bottom Light

Bottom light availability is an important environmental information in determining regions where marine flora – seaweeds, seagrasses and microphytobenthos – can develop. We will deliver the bottom light product as Photosynthetic Active Radiation (PAR), which includes radiation wavelengths between 400-700 nm.  


Product ID: 9.10

Datasets ID: H6

Region: Mediterranean Sea

Mediterranean Sea

HTL Model:

Partners: OGS

9.20

Bottom Light

Bottom light availability is an important environmental information in determining regions where marine flora – seaweeds, seagrasses and microphytobenthos – can develop. We will deliver the bottom light product as Photosynthetic Active Radiation (PAR), which includes radiation wavelengths between 400-700 nm.  


Product ID: 9.20

Datasets ID: H41

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

9.30

Bottom Light

Bottom light availability is an important environmental information in determining regions where marine flora – seaweeds, seagrasses and microphytobenthos – can develop. We will deliver the bottom light product as Photosynthetic Active Radiation (PAR), which includes radiation wavelengths between 400-700 nm.  


Product ID: 9.30

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

9.40

Bottom Light

Bottom light availability is an important environmental information in determining regions where marine flora – seaweeds, seagrasses and microphytobenthos – can develop. We will deliver the bottom light product as Photosynthetic Active Radiation (PAR), which includes radiation wavelengths between 400-700 nm.  


Product ID: 9.40

Datasets ID: H5

Region: Baltic Sea

Baltic Sea

HTL Model:

Partners: BSH

10.10

Carbon flux to the bottom

The flux of organic carbon to the bottom critically drives benthic ecosystems through the benthic food chain, diagenesis, and quantity of carbon sequestration through burial. The difficulty of in-situ determination greatly limits Information on carbon flow to the bottom at the ecosystem scale. Models can provide important information on carbon flux to the bottom at ecosystem scale and on its spatial and temporal variation.


Product ID: 10.10

Datasets ID: H6

Region: Mediterranean Sea

Mediterranean Sea

HTL Model:

Partners: OGS

10.20

Carbon flux to the bottom

The flux of organic carbon to the bottom critically drives benthic ecosystems through the benthic food chain, diagenesis, and quantity of carbon sequestration through burial. The difficulty of in-situ determination greatly limits Information on carbon flow to the bottom at the ecosystem scale. Models can provide important information on carbon flux to the bottom at ecosystem scale and on its spatial and temporal variation.


Product ID: 10.20

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

10.30

Carbon flux to the bottom

The flux of organic carbon to the bottom critically drives benthic ecosystems through the benthic food chain, diagenesis, and quantity of carbon sequestration through burial. The difficulty of in-situ determination greatly limits Information on carbon flow to the bottom at the ecosystem scale. Models can provide important information on carbon flux to the bottom at ecosystem scale and on its spatial and temporal variation.


Product ID: 10.30

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

10.40

Carbon flux to the bottom

The flux of organic carbon to the bottom critically drives benthic ecosystems through the benthic food chain, diagenesis, and quantity of carbon sequestration through burial. The difficulty of in-situ determination greatly limits Information on carbon flow to the bottom at the ecosystem scale. Models can provide important information on carbon flux to the bottom at ecosystem scale and on its spatial and temporal variation.


Product ID: 10.40

Datasets ID: H5

Region: Baltic Sea

Baltic Sea

HTL Model:

Partners: BSH

6.50

Reflectance

Reflectance (RRS) is the ratio of the electromagnetic flux reflected by a surface to the total electromagnetic flux incident on the surface. Water reflectance, as a function of the wavelength of electromagnetic radiation, provides useful information about the different types of suspended and dissolved components of matter in the ocean. It is used to identify various spectral features through the analysis of their inherent optical properties (i.e., absorption and backscattering). RRS is used to derive chlorophyll using empirical algorithms. 


Product ID: 6.50

Datasets ID: H5

Region: Baltic Sea

Baltic Sea

HTL Model:

Partners: BSH

11.10

Carbon in bottom

This product will provide maps of the vertically integrated carbon content in sediment for the North, Baltic, Black and Mediterranean Seas. Sedimentary carbon content provides information on the amount of food available to support the benthic food web and diagenetic processes.  Its spatial distribution offers information on the functioning of benthic organisms (suspension versus deposit feeding). 


Product ID: 11.10

Datasets ID: H3

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

11.20

Carbon in bottom

This product will provide maps of the vertically integrated carbon content in sediment for the North, Baltic, Black and Mediterranean Seas. Sedimentary carbon content provides information on the amount of food available to support the benthic food web and diagenetic processes.  Its spatial distribution offers information on the functioning of benthic organisms (suspension versus deposit feeding). 


Product ID: 11.20

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO

11.30

Carbon in bottom

This product will provide maps of the vertically integrated carbon content in sediment for the North, Baltic, Black and Mediterranean Seas. Sedimentary carbon content provides information on the amount of food available to support the benthic food web and diagenetic processes.  Its spatial distribution offers information on the functioning of benthic organisms (suspension versus deposit feeding). 


Product ID: 11.30

Datasets ID: H5

Region: Baltic Sea

Baltic Sea

HTL Model:

Partners: BSH

12.20

Macrozoobenthos

The macrozoobenthos, usually defined as benthic macrofauna larger than 1 mm in size, is an essential element in benthic-pelagic coupling, because it mediates particulate and solute fluxes between the water column and sediments. It degrades organic matter that sinks to the bottom, changes biogeochemical properties of sediments via bioturbation and bioirrigation, affecting, for instance, rates of microbial oxidation and denitrification. It also serves as a food source for higher trophic levels, thus helping to sustain fish and fisheries. Macrozoobenthic communities, in turn, respond to organic matter supplied from the water column, hydrodynamic regime, and temperature. Major feeding groups (suspension and deposit feeders) differ in diet composition and vertical habitat distribution, which defines their functioning. In turn, their environment and changes in its characteristics affect these groups differently. 


Product ID: 12.20

Datasets ID: H40

Region: Black Sea

Black Sea

HTL Model:

Partners: NIOZ

12.20

Macrozoobenthos

The macrozoobenthos, usually defined as benthic macrofauna larger than 1 mm in size, is an essential element in benthic-pelagic coupling, because it mediates particulate and solute fluxes between the water column and sediments. It degrades organic matter that sinks to the bottom, changes biogeochemical properties of sediments via bioturbation and bioirrigation, affecting, for instance, rates of microbial oxidation and denitrification. It also serves as a food source for higher trophic levels, thus helping to sustain fish and fisheries. Macrozoobenthic communities, in turn, respond to organic matter supplied from the water column, hydrodynamic regime, and temperature. Major feeding groups (suspension and deposit feeders) differ in diet composition and vertical habitat distribution, which defines their functioning. In turn, their environment and changes in its characteristics affect these groups differently. 


Product ID: 12.20

Datasets ID: H2

Region: North-West (NW) European Shelf

North-West (NW) European Shelf

HTL Model:

Partners: UKMO/PML

12.30

Macrozoobenthos

The macrozoobenthos, usually defined as benthic macrofauna larger than 1 mm in size, is an essential element in benthic-pelagic coupling, because it mediates particulate and solute fluxes between the water column and sediments. It degrades organic matter that sinks to the bottom, changes biogeochemical properties of sediments via bioturbation and bioirrigation, affecting, for instance, rates of microbial oxidation and denitrification. It also serves as a food source for higher trophic levels, thus helping to sustain fish and fisheries. Macrozoobenthic communities, in turn, respond to organic matter supplied from the water column, hydrodynamic regime, and temperature. Major feeding groups (suspension and deposit feeders) differ in diet composition and vertical habitat distribution, which defines their functioning. In turn, their environment and changes in its characteristics affect these groups differently. 


Product ID: 12.30

Datasets ID: H40

Region: Black Sea

Black Sea

HTL Model:

Partners: NIOZ

13.20

Benthic Flora

Benthic flora are essential elements in benthic-pelagic coupling and in carbon sequestration (blue carbon).  Besides uptake of inorganic carbon and production of oxygen, the most important species of flora are habitat builders that often help stabilise sediment (e.g., seagrasses) and provide shelter, spawning, and nursery ground for multiple species, including some of commercial interest. Moreover, benthic flora typically supports high associated biodiversity. 


Product ID: 13.20

Datasets ID: H40

Region: Black Sea

Black Sea

HTL Model:

Partners: NIOZ

26.10

Sedimentary rates

This product will provide maps of carbon sequestration (I.e. carbon burial) and denitrification rates (NO3 removal) in Black Sea sediment.  


Product ID: 26.10

Datasets ID: H40

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

26.20

Sedimentary rates

This product will provide maps of carbon sequestration (I.e. carbon burial) and denitrification rates (NO3 removal) in Black Sea sediment.  


Product ID: 26.20

Datasets ID: H40

Region: Black Sea

Black Sea

HTL Model:

Partners: UoL

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NEWS AND PROJECT UPDATES

06 February 2024|News

NECCTON Releases Best Practices Guide for Model Development

NECCTON is dedicated to enhancing the Copernicus Marine Service, and this week announces the release of its concise guide for biogeochemical/ecological model development. This document outlines practical strategies for model implementation, fostering interoperability across CMEMS Monitoring and Forecasting Centres (MFCs). 

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17 January 2024|News

NECCTON new video

We are pleased to share with you our first project video. This short video introduces the wide range of activities and research developments that will be undertaken by the team, highlighting how they will be useful in support of Copernicus Marine Service and wider user community. 

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24 November 2023|News

Better models for ocean conservation: Horizon Europe guarantee

Through a Horizon Europe guarantee grant, the UK is continuing to provide improved monitoring of the marine ecosystem. 

Around the globe, there’s a growing awareness of the importance of the seas for all life on our planet. And if we are to protect the marine environment accurate monitoring and prediction of its behaviour is crucial, we cannot manage what we do not observe.

In Europe, the Copernicus Marine Service...

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30 October 2023|News

NECCTON's Latest: Reports on Advancements in Key Products

We're pleased to announce the release of a comprehensive series of reports that unveil the innovative products our project aims to develop across various key areas. At NECCTON, we're dedicated to pushing the boundaries of innovation, and these reports underscore our commitment to delivering advanced solutions.

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12 July 2023|News

NECCTON's first Virtual Science Meeting

NECCTON's first virtual science meeting was a great success. Providing an opportunity for the whole team to gather and share details of scientific advancements in the first six months of the project. 

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03 July 2023|News

NECCTON Co-Design Stakeholder Workshop

Last week, the NECCTON Stakeholder Workshop: Co-design of Future Products was held virtually. This two-day workshop took place on June 28th and 29th with the aim of presenting NECCTON's future products and gathering stakeholder needs. The first public event of NECCTON attracted over 100 participants, including key stakeholders, project scientists, and potential users of NECCTON products.

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28 June 2023|News

Advancing the Conservation of Ocean Biodiversity through Copernicus Marine Service Evolution

The New Copernicus Capability for Tropic Ocean Networks project (NECCTON) aims to expand the Copernicus Marine Service product catalogue by delivering new and improved biogeochemical products, by means of new models of higher trophic levels, the benthic habitat, and of marine pollution. Launched in January 2023, the project received funding under a Horizon Europe Call for the evolution of the Copernicus Marine Service and will run...

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