Data Set Citation:
When using this data, please cite the data package:
NCEAS 2025 : Hilborn: Predicting extinction , National Center for Ecological Analysis and Synthesis , and Myers R. 2007.
Coho salmon Online data from Myers' Stock Recruitment Database
nceas.304.3 (https://knb.ecoinformatics.org:443/knb/metacat/nceas.304.3/nceas)
General Information:
Title:Coho salmon Online data from Myers' Stock Recruitment Database
Identifier:nceas.304
Abstract:
The Coho Salmon data is part of Ranson Myers Stock Recruitment Database site. The site consists of maps, plots, and numerical data relating to over 600 fish populations (over 100 species) from all over the world. Approximately 100 new populations are added per year. The purpose of this site is to compile all population dynamics data on fish in the world, so that synthetic analyses will lead to enhanced conservation and improved fisheries management.
Keywords:None:
  • Fish
None:
  • Coho Salmon
None:
  • Fisheries
None:
  • Population Dynamics
Publication Date:2007-03-06

Involved Parties

Data Set Creators:
Organization:NCEAS 2025 : Hilborn: Predicting extinction
Organization:National Center for Ecological Analysis and Synthesis
Individual: Ransom Myers
Organization:Department of Biological Sciences, Life Sciences Centre
Address:
1355 Oxford Street Dalhousie University,
Halifax, Select state or territory here. B3H 4J1 Canada
Email Address:
Ransom.Myers@dal.ca
Data Set Contacts:
Individual: Ransom Myers
Organization:Department of Biological Sciences, Life Sciences Centre
Address:
1355 Oxford Street Dalhousie University,
Halifax, Select state or territory here. B3H 4J1 Canada
Email Address:
Ransom.Myers@dal.ca
Associated Parties:
Individual: Mike Bradford
Individual: Ray Hilborn
Metadata Providers:
Individual: Callie Bowdish

Data Set Characteristics

Geographic Region:
Geographic Description:North Pacific, Oregon, Washington and British Columbia
Bounding Coordinates:
West:  -139.0000  degrees
East:  -114.0000  degrees
North:  60.0000  degrees
South:  47.0000  degrees
Time Period:
Begin:
1938
End:
1996
Taxonomic Range:
Classification:
Rank Name:Species
Rank Value:Oncorhynchus kisutch

Sampling, Processing and Quality Control Methods

Step by Step Procedures
Step 1:  
Description:

About the site

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.

Sampling Area And Frequency:
Each file contains five columns of data: YEARorYEARCLASS SSB REC LAND FRPL SSB is the spawning stock biomass in that year. REC is the recruitment for that yearclass. LAND is the landings for that year. FRPL is the fishing mortality for that year. Note that a dot (.) denotes a missing value, as in the .doc files.
Sampling Description:
The Coho Salmon data covers 40 creeks from Oregon to British Columbia. The number of years the counts were collected varies between 8 and 19. The data comes from many sources such as Mike Bradford, DFO, Vancover, BC. Each data set comes with a documentation file giving information on the Stock (location) and source of the data.

Data Set Usage Rights

no restrictions
Access Control:
Auth System:knb
Order:denyFirst
Metadata download: Ecological Metadata Language (EML) File