RAM Legacy Stock Assessment Database
The RAM Legacy Stock Assessment Database is a compilation of stock assessment results for commercially exploited marine populations from around the world. It is inspired by Dr. Ransom A. Myers' original stock-recruitment database, which is no longer being updated.
We detail the RAM Legacy Stock Assessment Database, as well as the current status of assessed marine species, in our new publication:
Ricard, D., Minto, C., Jensen, O.P. and Baum, J.K. (in press) Evaluating the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. Fish and Fisheries doi: 10.1111/j.1467-2979.2011.00435.x
its supplementary material, and in the summary document, which contains two-page summaries for each population.
Several other publications have also used the RAM Legacy Stock Assessment Database. Learn more.
In addition, a number of new research projects using the RAM Legacy Stock Assessment Database are now underway. Learn more.
Fair Use Policy
Use of the RAM Legacy Stock Assessment Database is subject to a Fair Use Policy.
Please cite the RAM Legacy Stock Assessment Database as follows:
Ricard, D., Minto, C., Jensen, O.P. and Baum, J.K. (in press) Evaluating the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database. Fish and Fisheries doi: 10.1111/j.1467-2979.2011.00435.x
and check out the current research projects using the database before embarking on a new project.
We welcome collaborators who are interested in using the database in their research and in further expanding the database contents. Please contact Daniel Ricard (daniel.ricard@gmail.com) and Julia Baum (juliakbaum@gmail.com) if you would like to contribute to the database or report errors.
Resources
The following resources are available:
- Database description and entity-relationship diagram
- Download the database
- List of scientific publications that used the database
- List of current research projects using the database
- How to contribute new assessments, provide updates and report errors
Acknowledgments
We are grateful to the many stock assessment scientists whose work this database is based upon and the many collaborators who recorded the assessment model results for inclusion in the RAM Legacy database. We are also grateful to the Census of Marine Life, Canadian Foundation for Innovation, NCEAS, NSERC, the Smith Conservation Research Fellowship, New Jersey Sea Grant, and the Walton Family Foundation for funding development of the database.
