Abstract
| Original language | English |
|---|---|
| Journal | Annual Review of Statistics and Its Application |
| Volume | 5 |
| Issue number | 1 |
| Pages (from-to) | 215-235 |
| ISSN | 2326-8298 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- fish stock assessment
- population dynamics
- random effects prediction
- state-space assessment model
Cite this
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Review of State-Space Models for Fisheries Science. / Aeberhard, William H.; Flemming, Joanna Mills; Nielsen, Anders.
In: Annual Review of Statistics and Its Application, Vol. 5, No. 1, 2018, p. 215-235.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Review of State-Space Models for Fisheries Science
AU - Aeberhard, William H.
AU - Flemming, Joanna Mills
AU - Nielsen, Anders
PY - 2018
Y1 - 2018
N2 - Fisheries science is concerned with the management and understanding of the raising and harvesting of fish. Fish stocks are assessed using biological and fisheries data with the goal of estimating either their total population or biomass. Stock assessment models also make it possible to predict how stocks will respond to varying levels of fishing pressure in the future. Such tools are essential with overfishing now reducing stocks and employment worldwide, with in turn many serious social, economic, and environmental implications. Increasingly, a state-space framework is being used in place of deterministic and standard parametric stock assessment models. These efforts have not only had considerable impact on fisheries management but have also advanced the supporting statistical theory and inference tools as well as the required software. An application of such techniques to the North Sea cod stock highlights what should be considered best practices for science-based fisheries management.
AB - Fisheries science is concerned with the management and understanding of the raising and harvesting of fish. Fish stocks are assessed using biological and fisheries data with the goal of estimating either their total population or biomass. Stock assessment models also make it possible to predict how stocks will respond to varying levels of fishing pressure in the future. Such tools are essential with overfishing now reducing stocks and employment worldwide, with in turn many serious social, economic, and environmental implications. Increasingly, a state-space framework is being used in place of deterministic and standard parametric stock assessment models. These efforts have not only had considerable impact on fisheries management but have also advanced the supporting statistical theory and inference tools as well as the required software. An application of such techniques to the North Sea cod stock highlights what should be considered best practices for science-based fisheries management.
KW - fish stock assessment
KW - population dynamics
KW - random effects prediction
KW - state-space assessment model
U2 - 10.1146/annurev-statistics-031017-100427
DO - 10.1146/annurev-statistics-031017-100427
M3 - Journal article
VL - 5
SP - 215
EP - 235
JO - Annual Review of Statistics and Its Application
JF - Annual Review of Statistics and Its Application
SN - 2326-8298
IS - 1
ER -