Results 201 to 210 of about 27,101 (320)
Baseline studies on meiofauna in the Baltic Sea before bottom-trawl fisheries exclusion I: comparison of communities in the Fehmarn Belt (western Baltic Sea), with special reference to the Harpacticoida (Crustacea, Copepoda) [PDF]
Jana Packmor +3 more
openalex +1 more source
Abstract Macroscale ocean fronts aggregate significant biomass and provide critical foraging habitat for large marine predators. These frontal systems shift in response to ocean climate variation, including basin‐scale oscillations, and the degree to which marine predators track these movements affects their foraging and reproductive success. Using two
Rachel R. Holser +3 more
wiley +1 more source
Abstract Over the last 20 years, collaborative efforts have emerged with the intention of going beyond the pure capitalist economy, seeking to generate transformative community‐based changes that guarantee blue equity, fair distribution and well‐being.
Sílvia Gómez, Alfons Garrido
wiley +1 more source
Chronic and intensive bottom trawling impairs deep-sea biodiversity and ecosystem functioning. [PDF]
Pusceddu A +6 more
europepmc +1 more source
Species-richness patterns in space, depth, and time (1989-1999) of the Portuguese fauna sampled by bottom trawl [PDF]
Pedro M. Sousa +2 more
openalex +1 more source
ABSTRACT Fisheries management relies on accurate stock assessments, which in turn depend on precise age information. Recent molecular tools called ‘epigenetic clocks’ harness age‐related DNA methylation changes to build accurate and precise age‐prediction models.
Dafni Anastasiadi +5 more
wiley +1 more source
Generalized graphical mixed models connect ecological theory with widely used statistical models
Abstract Ecological dynamics are often analysed across multiple sites, times, and variables. Ecologists typically represent interactions across space, time, and variables using generalized linear mixed models (GLMMs), generalized additive models (GAM), and structural equation models (SEM).
James T. Thorson
wiley +1 more source
ABSTRACT We investigated whether statolith microchemistry analysis could classify ommastrephid and loliginid squid species into fishery stocks. Statolith nucleus (early life stage) and edge (life stage at time before catch) of Illex coindetii (Verany, 1839) and Loligo forbesii (Steenstrup, 1856) from various areas of the North East Atlantic Ocean and ...
Bianca T. C. Bobowski +10 more
wiley +1 more source

