Unknown

Dataset Information

Drivers and rates of stock assessments in the United States.


ABSTRACT: Fisheries management is most effective when based on scientific estimates of sustainable fishing rates. While some simple approaches allow estimation of harvest limits, more data-intensive stock assessments are generally required to evaluate the stock's biomass and fishing rates relative to sustainable levels. Here we evaluate how stock characteristics relate to the rate of new assessments in the United States. Using a statistical model based on time-to-event analysis and 569 coastal marine fish and invertebrate stocks landed in commercial fisheries, we quantify the impact of region, habitat, life-history, and economic factors on the annual probability of being assessed. Although the majority of landings come from assessed stocks in all regions, less than half of the regionally-landed spec

SUBMITTER: Neubauer P 

PROVIDER: S-EPMC5947900 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature