|About This Site||Maps||Online Data and Plots||Related Papers|
The central idea behind this work is that the uncertainty of the biological basis of fisheries management can be greatly reduced by examining many data sets and combining the results by various statistical methods. A major cause of uncertainty in the population biology of exploited species is the lack of very long time series; this can be overcome by examining data on many populations (over 600 are included here). Meta-analysis can be used to address the fundamental problems of population biology and management, e.g. the relationship between spawner abundance and recruitment, the existence of depensation, the estimation of the limits of fishing.
Meta-analysis is the term used to describe quantitative methods for combining evidence across studies. In the work we describe here, results are combined across populations instead of experiments. That is, we treat the time-series of each population as a realization of a natural experiment, and combine results across populations.
An alternative approach to meta-analysis, empirical Bayesian analysis, has certain advantages, particularly in a decision analysis framework.
We will concentrate on the meta-analytic approach because Bayesian methods in fisheries has recently been reviewed in detail by Punt and Hilborn (Rev. of Fish Biology and Fisheries, 1997).
There are strong similarities between a meta-analytic or an empirical Bayes approach, and both
approaches should lead to similar conclusions.
Selecting MAPS will take you to a page where all species for which there is data is listed alphabetically by order, followed by family. Selecting a species will link you to a page which contains a world map. The locations of stocks for which data is available are marked on this map by the presence of a red asterisks.
EXAMPLE: You wish to see the locations of data available on cod (Gadus morhua). This species is listed
under its order, Gadiformes, and then under its family, Gadidae. Selecting "Gadus morhua (Cod)", will
take you to the desired map.
Selecting ONLINE DATA AND PLOTS will allow you access to all forms of information available on a
particular stock. To study a particular stock, select the appropriate species. This can be done on
first page, where there is a listing of all species available, organized alphabetically by order, followed by
family. Selecting a species will link you to a new page with a listing of all stocks available for this
species. After each stock name, there are three possible links: documentation, data, srplot. Selecting
these three options listed after the stock name will connect you to various kinds of information
available on the particular stock.
Naming Conventions for Stock ID's:
The ID's used to represent the datasets were chosen as systematically as possible. Choosing ID's involves a trade-off between information and length, i.e. we would like short but meaningful ID's. The convention used in forming ID's is
This site simply contains a bibliography of published papers pertaining to the area of study addressed in this website.