Research and analysis

The use of catch statistics to monitor fishery change - migratory salmonid study

A project to determine an effective method for collecting data on catches of migratory salmonids and to develop techniques for studying population size.

Documents

The Use of Catch Statistics to Monitor Fisher Change - Migratory Salmonid Study - Synopsis

Request an accessible format.
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email enquiries@environment-agency.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

The Use of Catch Statistics to Monitor Fishery Change

Request an accessible format.
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email enquiries@environment-agency.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

The Use of Catch Statistics to Monitor Fishery Change - Migratory Salmonid Study

Request an accessible format.
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email enquiries@environment-agency.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

Details

The overall objective of the R&D contract was to develop methods for estimating the stock size of migratory salmonids from catch statistics data and to examine new techniques for the collection of this data. However, due to the large degree of varaition in the datasets for a range of underlying reasons, it became obvious that to achieve estimates of stock size would be a difficult goal to achieve. Therefore the project focused towards examining methods for accounting for the variability in the data sets and for estimating trends of runs of fish into rivers. This work was coulped with an examination of the temperoral and spatial variability with and between river systems and the development of alternative data collection methods.

Published 1 January 1998