Statistical analysis for marine resources

The fisheries sector represents one of Norway’s most important export industries. Norwegian fisheries policy and management are based on the principles of sustainable harvest of the marine living resources (Norwegian fisheries management, fisheries.no).  Norwegian fisheries management is based on scientific advices. Much of the research within fisheries involve analysis of data collected both from the fishery industry and through separate research vessels.   

Project description

 

Statisticians at Department of Mathematics are involved in a range of different projects within marine resources, in close cooperation with the Norwegian Computing Center, the Institute of Marine Reasearch and Centre for Ecological and Evolutionary Synthesis.  We also have close relationships to

Many of these projects are related to estimation of abundance for different species. Such estimates are typically based on population dynamic models. Assuming Ny,a is the total number of a species in year y at age a, a simple dynamic model is

Ny,a=Ny-1,a-1exp(-My,a)-Cy,a

where My,a is the natural mortality rate and Cy,a is the number of fish caught by the fishery. The model is typically made stochastic by distributional assumptions about the mortality rate. The fishery industry report total weight of hauls, while a sample of individual fish are  taken and measurements of weight, length and (sometimes) age are provided. In addition relative abundance indices based on catch per unit effort from separate research vessels provide information about abundance.  Many of the  subprojects involve sophisticated statistical modelling and computational tools for improving existing technology.

 

Objectives

The aim in all projects is to provide the fishery managers with better tools for specification of relevant information for performing decisions, e.g. setting quotas, opening/closing areas for fisheries,  constructing sampling design for data collection.

Outcomes

In addition to software useable for fishery management, important outcomes have been publications in high-ranked journals. See publication list on sub-projects.

Cooperation

Statisticians at Department of Mathematics are involved in a range of different projects within marine resources, in close cooperation with the Norwegian Computing Center (NR), the Institute of Marine Reasearch (IMR) and Centre for Ecological and Evolutionary Synthesis (CEES). Many of these projects are related to estimation of abundance for different species. Such estimates are typically based on population dynamic models. Assuming

Sub-projects

Financing

The Norwegian Research Council, Statistics_for_Innovation, the Institute of Marine Reasearch (IMR)

Published Feb. 22, 2013 8:43 AM - Last modified Oct. 13, 2015 2:25 PM

Participants

Detailed list of participants