Use of the Kalman filter to reconstruct historical trends in productivity of Bristol Bay sockeye salmon (Oncorhynchus nerka)

By Randall M. Peterman, Brian J. Pyper, B. MacGregor. 2003

94 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/ddbb480dd4828d8cc7ba30efbbb7c2954ae08ca5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. G. Ruggerone
2. Randall M. Peterman
3. F. Mueter
4. B. Megrey
5. J. Boldt
6. Brigitte Dorner
7. K. Myers
8. Brian J. Pyper

In Nature and Landscape Conservation

1. G. Ruggerone
2. Randall M. Peterman
3. F. Mueter
4. Brigitte Dorner
5. B. Megrey
6. J. Boldt
7. K. Myers
8. Brian J. Pyper

Citations in the corpus

• Magnitude and Trends in Abundance of Hatchery and Wild Pink Salmon, Chum Salmon, and Sockeye Salmon in the North Pacific Ocean (2010, background): “For instance, sockeye salmon from Bristol Bay showed substantial increases in survival rate (measured as recruits per spawner) since the early to mid-1970s, even after correcting for within-stock density-dependent effects related to spawner abundance (Peterman et al. 1998, 2003).”
• Recruitment and survival of Northeast Pacific Ocean fish stocks: temporal trends, covariation, and regime shifts (2007, methodology): “Those parameters can be estimated annually using a Kalman filter to help track changes in productivity (e.g., Peterman et al. 2003).”