Marine Regions: Towards a Global Standard for Georeferenced Marine Names and Boundaries

Claus, S.; Hauwere, N. De; Vanhoorne, B.; Deckers, Pieter; Dias, F. Souza; Hernández, F.; Mees, Jan

doi:10.1080/01490419.2014.902881

Cited by 52 publications

(55 citation statements)

References 15 publications

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“…Gray‐shaded grid cells represent areas that were fished, but yielded zero catch. Dashed gray lines represent the EEZ s of Peru and Chile, recently agreed between the two countries (Claus et al , Flanders Marine Institute ; VLIZ ).…”

Section: Resultsmentioning

confidence: 97%

Big catch, little sharks: Insight into Peruvian small‐scale longline fisheries

Doherty

Alfaro‐Shigueto

Hodgson

et al. 2014

Ecology and Evolution

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Shark take, driven by vast demand for meat and fins, is increasing. We set out to gain insights into the impact of small-scale longline fisheries in Peru. Onboard observers were used to document catch from 145 longline fishing trips (1668 fishing days) originating from Ilo, southern Peru. Fishing effort is divided into two seasons: targeting dolphinfish (Coryphaena hippurus; December to February) and sharks (March to November). A total of 16,610 sharks were observed caught, with 11,166 identified to species level. Of these, 70.6% were blue sharks (Prionace glauca), 28.4% short-fin mako sharks (Isurus oxyrinchus), and 1% were other species (including thresher (Alopias vulpinus), hammerhead (Sphyrna zygaena), porbeagle (Lamnus nasus), and other Carcharhinidae species (Carcharhinus brachyurus, Carcharhinus falciformis, Galeorhinus galeus). Mean ± SD catch per unit effort of 33.6 ± 10.9 sharks per 1000 hooks was calculated for the shark season and 1.9 ± 3.1 sharks per 1000 hooks were caught in the dolphinfish season. An average of 83.7% of sharks caught (74.7% blue sharks; 93.3% mako sharks) were deemed sexually immature and under the legal minimum landing size, which for species exhibiting k-selected life history traits can result in susceptibility to over exploitation. As these growing fisheries operate along the entire Peruvian coast and may catch millions of sharks per annum, we conclude that their continued expansion, along with ineffective legislative approaches resulting in removal of immature individuals, has the potential to threaten the sustainability of the fishery, its target species, and ecosystem. There is a need for additional monitoring and research to inform novel management strategies for sharks while maintaining fisher livelihoods.

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Section: Resultsmentioning

confidence: 97%

Big catch, little sharks: Insight into Peruvian small‐scale longline fisheries

Doherty

Alfaro‐Shigueto

Hodgson

et al. 2014

Ecology and Evolution

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“…The definition of EEZ boundaries was obtained from data files compiled by the Flanders Marine Institute. 25 The OTEC implementation area in this case is about 54 Â 10 6 km 2 . The export of OTEC electricity using power cables over long distances, even within the EEZ limit of 200 nautical miles, would be costly, however.…”

Section: B Numerical Experimentsmentioning

confidence: 99%

“…The model setup is identical to that adopted in Rajagopalan and Nihous. 10 The numerical resolution is 1 Â 1 horizontally with 23 vertical layers of thicknesses, starting from the top, in meters: 10,10,15,20,20,25,35,50,75,100,150,200,275,350,415,450, 500, 500, 500, 500, 500, 500, and 500. Transport in the upper part of the water column is specified from the mixed-layer scheme of Large et al 14 Sea ice is not explicitly modeled, but the condition that seawater temperature should not drop below the ice point (%-2 C) is enforced through compensating heat fluxes.…”

Section: A Ocean General Circulation Model With Sources and Sinksmentioning

confidence: 99%

An assessment of global Ocean Thermal Energy Conversion resources under broad geographical constraints

Rajagopalan

Nihous

2013

Journal of Renewable and Sustainable Energy

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Rates of Ocean Thermal Energy Conversion (OTEC) are assessed with a highresolution (1 Â 1 ) ocean general circulation model when broad geographical restrictions are imposed on the OTEC implementation area. This may correspond to practical or legal limitations, such as the cost of long submarine power cables or the extent of Exclusive Economic Zones. Because some environmental effects predicted under large-scale OTEC scenarios exhibit a strong asymmetry among major oceanic basins, numerical experiments where the OTEC domain is restricted to such specific areas are also conducted. Results suggest that in all cases, a rate of about 0.2 TW per Sverdrup of OTEC deep cold seawater is sustained when overall OTEC net power peaks. At that juncture, temperature profiles in the OTEC implementation areas are affected in similar ways, while the strength of the Thermohaline Circulation roughly doubles. Overall geographical constraints simply defined by distance to shore, given the model's 1 horizontal resolution, produce global OTEC net power maxima of 12-14 TW. In such cases, OTEC net power density approximately increases in inverse proportion to the OTEC implementation area. Limiting OTEC development to the Indo-Pacific yields results similar to the global case with a maximum proportional to the implementation area (12 TW), but simulations restricted to the Atlantic behave quite differently. In the latter case, OTEC net power peaks a little over 5 TW. It is estimated that producing half the predicted power maxima would substantially limit large-scale environmental temperature changes in each case. V C 2013 AIP Publishing LLC.

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“…The territorial waters extend to 12 nautical miles from the coast and have a surface area of 7210 km 2 and the continental shelf has a surface area of 201310 km 2 (Iborra Martin, 2006). The Italian Exclusive Economic Zone (EEZ), as delineated by Claus et al (2014) (see also www.vliz.be), covers nearly 538,000 km 2 . Due to its central Mediterranean Sea location, four of the seven Mediterranean Sea subdivisions surround the peninsula: the Tyrrhenian and Ligurian Sea in the west, the Ionian Sea in the south and the Adriatic Sea in the east.…”

Section: Study Areamentioning

confidence: 99%