Description
As a proxy for potential fish production, the Ocean Productivity available to Fish (OPFish) was successfully tested against commercial and scientific spatial fisheries datasets in the European Seas, notably in detecting local overfishing. The OPFish uses the productivity frontal features derived from chlorophyll-a horizontal gradients, which characterize 10-20% of the global phytoplankton production that effectively fuels higher trophic levels . This satellite-derived proxy of potential fish feeding was shown to greatly facilitate the identification of local fishing opportunities by quantifying the useful fraction of plankton production that could support fisheries catches. More information: https://fishreg.jrc.ec.europa.eu/fish-habitat
OPFish was calculated using daily chlorophyll-a (mg.m−3) data from the MODIS-Aqua ocean color sensor (2003–2016; 1/24° resolution) and the Ocean Color Index (OCI) algorithm (Hu et al., 2012). These data was extracted from the NASA portal (https://oceancolor.gsfc.nasa.gov/l3/) with the archive reprocessing of January 2018. The OPFish has daily values from 0 to 1 following the equation:
OPFish = C_g * C_r * DL
(see details in Druon et al. 2021) where OPFish = Ocean Productivity available to Fish (potential fish production in relative level),
Cg = linear function derived from the norm of the horizontal gradient of chlorophyll-a, from 0 to 1,
Cr = value 1 if within the suitable chlorophyll-a range, and 0 otherwise,
DL = relative day length duration from 0 to 1 (day length in hours divided by 24). Hu, C., Lee, Z., & Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. Journal of Geophysical Research: Oceans, 117, 1–25. doi:10.1029/2011JC007395 Druon JN, Gascuel D, Gibin M, Zanzi A, Fromentin JM, Colloca F, Hélaouët P, Coll M, Mannini A, Bluemel J, Piroddi C, Bastardie F, Macias-Moy D, Vasilakopoulos P, Winker H, Serpetti N, Guillen J, Palialexis A, Gras M, Hekim Z, Dubroca L, Pinto C, Steenbeeck J and Martinsohn J
(2021) Mesoscale productivity fronts and local fishing opportunities in the European Seas. Fish and Fisheries, 00, 1-21, DOI:10.1111/faf.12585 https://onlinelibrary.wiley.com/doi/full/10.1111/faf.12585
Contact
Contributors
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- Jean-Noel Druon
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0000-0002-0824-8778
How to cite
Druon, Jean-Noel (2021): Ocean Productivity available to Fish (OPFish) - Global Ocean MONTHLY - 2003-2020 (% of daily favorable occurrence, 1/24° by 1/24°) . European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/598c3606-8415-44a6-9f0c-079b9bb548f4
Keywords
Climate change Demersal fishing gears Environmental monitoring Eutrophication Fish production Fisheries Fishing Restricted Area GIS digital format Marine protected area Ocean color Overfishing Pelagic fishing gears Satellite observations Feeding Habitat
Data access
As a proxy for potential fish production, the Ocean Productivity available to Fish (OPFish) was successfully tested against commercial and scientific spatial fisheries datasets in the European Seas, notably in detecting local overfishing. The OPFish uses the productivity frontal features derived from chlorophyll-a horizontal gradients, which characterize 10-20% of the global phytoplankton production that effectively fuels higher trophic levels . This satellite-derived proxy of potential fish feeding was shown to greatly facilitate the identification of local fishing opportunities by quantifying the useful fraction of plankton production that could support fisheries catches. More information: https://fishreg.jrc.ec.europa.eu/fish-habitat
As a proxy for potential fish production, the Ocean Productivity available to Fish (OPFish) was successfully tested against commercial and scientific spatial fisheries datasets in the European Seas, notably in detecting local overfishing. The OPFish uses the productivity frontal features derived from chlorophyll-a horizontal gradients, which characterize 10-20% of the global phytoplankton production that effectively fuels higher trophic levels . This satellite-derived proxy of potential fish feeding was shown to greatly facilitate the identification of local fishing opportunities by quantifying the useful fraction of plankton production that could support fisheries catches. More information: https://fishreg.jrc.ec.europa.eu/fish-habitat
Publications
- WILEY, HOBOKEN, UNITED STATES
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Abstract
This study evaluates the relationship between both commercial and scientific spatial fisheries data and a new satellite-based estimate of potential fish production (Ocean Productivity available to Fish, OPFish) in the European Seas. To construct OPFish, we used productivity frontal features derived from chlorophyll-a horizontal gradients, which characterize 10%–20% of the global phytoplankton production that effectively fuels higher trophic levels. OPFish is relatively consistent with the spatial distribution of both pelagic and demersal fish landings and catches per unit of effort (LPUEs and CPUEs, respectively). An index of harvest relative to ocean productivity (HP index) is calculated by dividing these LPUEs or CPUEs with OPFish. The HP index reflects the intensity of fishing by gear type with regard to local fish production. Low HP levels indicate lower LPUEs or CPUEs than expected from oceanic production, suggesting over-exploitation, while high HP levels imply more sustainable fishing. HP allows comparing the production-dependent suitability of local fishing intensities. Our results from bottom trawl data highlight that over-exploitation of demersal species from the shelves is twice as high in the Mediterranean Sea than in the North-East Atlantic. The estimate of HP index by dominant pelagic and demersal gears suggests that midwater and bottom otter trawls are associated with the lowest and highest overfishing, respectively. The contrasts of fishing intensity at local scales captured by the HP index suggest that accounting for the local potential fish production can promote fisheries sustainability in the context of ecosystem-based fisheries management as required by international marine policies.
Spatial coverage
| Type | Value |
|---|---|
| GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml"> <gml:outerBoundaryIs> <gml:LinearRing> <gml:coordinates>-180,90 180,90 180,-90 -180,-90 -180,90</gml:coordinates> </gml:LinearRing> </gml:outerBoundaryIs></gml:Polygon> |
| GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2"> <gml:exterior> <gml:LinearRing> <gml:posList>-180 90 180 90 180 -90 -180 -90 -180 90</gml:posList> </gml:LinearRing> </gml:exterior></gml:Polygon> |
| WKT | POLYGON ((-180 90, 180 90, 180 -90, -180 -90, -180 90)) |
Temporal coverage
| From date | To date |
|---|---|
| 2003-01-01 | 2020-12-31 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2021-07-06
- Modified date
- 2022-04-04
- Issued date
- 2021-07-05
- Landing page
- https://joint-research-centre.ec.europa.eu/scientific-tools-and-databases/global-marine-information-system-gmis_en
- Data theme(s)
- Agriculture, fisheries, forestry and food
- Update frequency
- annual
- Identifier
- http://data.europa.eu/89h/598c3606-8415-44a6-9f0c-079b9bb548f4
- Popularity
-