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HomeBiotechnologyPromising new innovation goals to scale back environmental impacts of scallop dredging

Promising new innovation goals to scale back environmental impacts of scallop dredging

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Promising new innovation aims to reduce environmental impacts of scallop dredging
Credit score: Heriot-Watt College

An revolutionary new gear modification that lifts metal luggage used for scallop dredging off the seafloor has proven potential to scale back injury to the seabed throughout business fishing expeditions.

Scientists from the Low Influence Scallop Innovation Gear (LISIG) challenge, led by Heriot-Watt College, fitted “skids” to the underside of ordinary spring-toothed dredges and monitored its effectiveness throughout trials with business scallop fisheries in Scotland and Wales.

They discovered that the skid, which lifts the steel luggage a mere 10 cm off the seabed, helped cut back deadly injury to bottom-dwelling species and fauna. Organisms on the seafloor are routinely disrupted by means of using customary dredges on account of their heavy drag alongside the bottom.

Knowledge from the trials additionally discovered that the skids elevated the catch of king scallops by a mean of 15%. Catches of undersized scallops, crabs and starfish, which are sometimes repeatedly caught and returned to sea, had been extra variable and the research proposed that extra modifications, reminiscent of rising the scale of the steel rings, together with implementation of skids may cut back bycatch.

The business viability of modifications was one other key issue through the research.

As a result of added weight of the steel skids, the concerned within the trials carefully monitored the quantity of gas consumed throughout every expedition utilizing the skids and reported no modifications between the 2 dredge sorts, doubtless as a result of discount in drag throughout journey. It could even be doable to decrease CO2 emissions when utilizing the skids if another materials to metal was used to assemble the baggage.

Dr. Marija Sciberras, Assistant Professor in Fisheries at Heriot-Watt College, who led the research, stated: “The scallop sector is likely one of the highest worth business fisheries within the U.Ok., but its present administration lags behind different fisheries on account of its sustainability requirements. Efforts are being made by the fishery to maneuver in the direction of a extra sustainable fishing follow and in the direction of internet zero.

“Our research means that skid dredges are a promising begin to growing extra environmentally sound fishing gear that can be worthwhile economically for the business, yielding a better variety of scallops and decreasing substitute prices of stomach luggage from extreme put on and tear on the seabed.

“Adoption of technical gear modifications like our skid dredges could be a giant step ahead within the evolution of sustainable administration and decrease affect of scallop dredges.”

Professor of Fisheries Conservation and Chief Scientist at Heriot-Watt College, Michel Kaiser, co-wrote the paper and stated: “Proof from this research demonstrates that easy, sensible modifications have important potential in decreasing impacts heading in the right direction shares and the setting within the scallop dredging sector.

“Nevertheless, to be really efficient, potential technical interventions reminiscent of these should be thought of alongside efficient fisheries regulatory methods that promote harvesting effectivity and applicable controls at sea.”


Scallops proven to swim into illuminated fishing pots


Extra data:
Low Influence Scallop Innovation Gear (LISIG) challenge

Quotation:
Promising new innovation goals to scale back environmental impacts of scallop dredging (2022, Could 19)
retrieved 20 Could 2022
from https://phys.org/information/2022-05-aims-environmental-impacts-scallop-dredging.html

This doc is topic to copyright. Aside from any honest dealing for the aim of personal research or analysis, no
half could also be reproduced with out the written permission. The content material is offered for data functions solely.



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