Modelling stock recruitment relationships to examine stock management policies
スポンサーリンク
概要
- 論文の詳細を見る
Simulation studies are widely used for fish stock management. In these studies, the forecasting of future recruitment, which can vary greatly between years, has become an essential part of evaluating management strategies. We propose a new forecasting algorithm to predict recruitment for short or medium term stochastic projections using a stock-recruitment relationship. We specifically address cases in which the spawning stock has dropped below previously observed levels, or in which predicted recruitment is situated close to the maximum observed level. The relative prediction error of seven existing algorithms was compared to the new model using leave-one-out cross-validation for 61 datasets from ICES, the Japanese Fisheries Agency, and PICES. The new algorithm had the smallest prediction error for 49 of the datasets, but was slightly biased by the precautionary treatment of high recruitment predictions.
- Oxford University Pressの論文
Oxford University Press | 論文
- Ca2+ influx and phosphoinositide signalling are essential for the establishment and maintenance of cell polarity in monospores from the red alga Porphyra yezoensis
- Phosphatidylinositol 3-kinase activity and asymmetrical accumulation of F-actin are necessary for establishment of cell polarity in the early development of monospores from the marine red alga Porphyra yezoensis
- Identification of cis-localization elements that target glutelin RNAs to a specific subdomain of the cortical endoplasmic reticulum in rice endosperm cells
- Atlas of rice grain filling-related metabolism under high temperature: joint analysis of metabolome and transcription demonstrated inhibition of starch accumulation and induction of amino acid accumulation
- DNA-Binding Property of the Novel DNA-Binding Domain STPR in FMBP-1 of the Silkworm Bombyx mori