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Celtic Sea Trout Project

Sector: Water Supply and Storage • Location: United Kingdom

Source: Keep.EU

Project
Closed

The project aims to protect & enhance sustainable tourism, cross-border biodiversity & environmental quality by filling a major gap in the knowledge and management of sea trout fisheries, which are of particular importance to Ireland and Wales. The gap lies in our understanding of sea trout in the sea: where they go, their ecology, what pressures they are exposed to, how they react to climate chan

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The project “Celtic Sea Trout Project” is an infrastructure initiative in the Water Supply and Storage sector, located in United Kingdom. Taiyo aggregates data on it from Keep.EU.

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Description

Description

The project aims to protect & enhance sustainable tourism, cross-border biodiversity & environmental quality by filling a major gap in the knowledge and management of sea trout fisheries, which are of particular importance to Ireland and Wales. The gap lies in our understanding of sea trout in the sea: where they go, their ecology, what pressures they are exposed to, how they react to climate change and how their stocks are interlinked. A unique network of cross-border expertise will collaborate to monitor, manage & protect sea trout in the coastal rivers of the region & the Irish Sea itself. Through a fully integrated & collaborative network of management agencies & public end-user groups, HEI & governmental research institutes CSTP aims to; • Protect/enhance the health of stocks, socio-economic value of fisheries and the status of cross-border biodiversity by determining the current status of sea trout stocks and fisheries, and by describing genetic and life history variation in the region; • Develop an informed/coordinated management plan for the conservation, sustainable management & exploitation of this joint asset; • Assess and predict the impacts of climate change on sea trout stocks, fisheries & biodiversity by harnessing the joint talents & capacity of the region’s fisheries research & management expertise to develop & apply a spatially structured ecosystem model.

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Medium

Data quality score

100%

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