Results 151 to 160 of about 3,290 (307)
A deep learning-based model for automatic identification of mesopelagic organisms from in-trawl cameras. [PDF]
Westergerling T +4 more
europepmc +1 more source
ABSTRACT Using the environmental quality cost management model, this study examines how fraud risk management (FRM) influences corporate sustainability performance (CSP) and how ownership structures moderate it. The study uses artificial neural networks (ANN) and logistic regression models to test two hypotheses. H1 demonstrates that the prevention and
Israel Akinbode Owolabi +3 more
wiley +1 more source
Optimizing Fishery Survey Design in Guangdong's Restricted Coastal Waters. [PDF]
Zhang K, Su L, Cai Y, Xu Y, Chen Z.
europepmc +1 more source
ABSTRACT Mining is one of the foundations of economic development but has historically been associated with severe socioenvironmental impacts, such as ecosystem degradation, displacement of traditional communities, and large‐scale disasters. In this context, corporate social responsibility (CSR) plays a central role as a mechanism for legitimizing ...
Felipe Moura Oliveira +1 more
wiley +1 more source
Can eDNA Replace Trawl Surveys for Estuarine Species Distribution Modeling: Insights From <i>Collichthys lucidus</i> in the Yangtze River Estuary. [PDF]
Geng X, Tang W, Wu J, Gao C, Wang X.
europepmc +1 more source
Analysis of Fishery Resource Distribution and Seasonal Variations in the East China Sea: Utilizing Trawl Surveys, Environmental DNA, and Scientific Echo Sounders [PDF]
S. R. Lee +4 more
openalex +1 more source
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source
Statistically Classified Marine Epifaunal Bioregions on the Southern Benguela Margin, South Africa. [PDF]
Wozniak D, Atkinson L, Karenyi N.
europepmc +1 more source
The rapid adoption of environmental DNA (eDNA) methods has drastically changed biodiversity monitoring efforts. It is often claimed that eDNA methods are more sensitive and efficient than conventional biodiversity monitoring methods, but it is often unclear what metrics support this claim.
Nicholas J. Iacaruso +4 more
wiley +1 more source

