English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Understanding the association between components of habitat and fish distribution and abundance is important in order to achieve accurate stock assessments. We developed gen - eralized additive models (GAM) and spatially predictive maps of rockfish abundance at the individual species level using habitat descriptors collected from visual surveys and fine-scale bathy metry. We advanced beyond presence/absence and presence only models to create predic- tive maps of fish density (100 m 2 ) and biomass (kg 100 m 2 ) for Sebastes rosaceus (rosy rockfish) and S. constellatus (starry rockfish), both common species in commercial and recreational fish- eries along the central coast of California. Selected models included co-variables of seafloor depth, complexity, substratum type, and heterogeneity. Predicted density and biomass of both species were highest in areas of complex rock on the continental shelf off Points Lobos and Sur at 5090 (S. rosaceus) and 80120 m (S. constellatus) water depth. Our results will be useful both in stock assessments of these data-poor species as well as in allocation of fishing effort, catches, and other space-based management decisions.

Habitat-based predictive mapping of rockfish density and biomass off the central California coast