Results 201 to 210 of about 177,699 (303)
Correction: Spatio-temporal patterns, trends, and oceanographic drivers of whale shark strandings in Indonesia. [PDF]
Putra MIH +15 more
europepmc +1 more source
Abstract Environmental DNA (eDNA) biodiversity surveys have the power to transform the detection of species in natural environments, which is crucial for the conservation and management of freshwater, estuarine and marine environments. Globally, eDNA‐based analyses have increased significantly, with fishes being the most widely studied aquatic ...
Sophie von der Heyden
wiley +1 more source
Abstract Deep‐sea elasmobranchs are less resilient to the increasing scale of anthropogenic impacts such as fisheries, owing to their life‐history traits. The necessity for proper management measures is hampered by the scant knowledge on these taxa and their biology. Here we provide the first comprehensive insight into the parasite infracommunities and
Wolf Isbert +5 more
wiley +1 more source
Evaluating Prey Availability for the Rice's Whale (<i>Balaenoptera ricei</i>) Based on Environmental DNA. [PDF]
Silliman K +9 more
europepmc +1 more source
Abstract The grey reef shark Carcharhinus amblyrhynchos is one of the most frequently encountered reef‐associated shark species in the Maldives, yet very little is known about its local size structure or population dynamics. This study provides new insights into two aggregations of C.
Andrea Parmegiani +7 more
wiley +1 more source
Correction to "Aseasonal Migration of a Northern Bottlenose Whale Provides Support for the Skin Molt Migration Hypothesis". [PDF]
europepmc +1 more source
A Geometric Whale Optimization Algorithm with Triangular Flight for Numerical Optimization and Engineering Design. [PDF]
Wei J +11 more
europepmc +1 more source
Abstract Methods using environmental nucleic acids have become highly effective for monitoring aquatic biodiversity, with an array of suitable use cases, including metrics for fisheries assessment. Traditional methods for assessing fish populations often rely on invasive techniques with limited spatial and temporal coverage.
Ana Ramón‐Laca +6 more
wiley +1 more source
Automated Classification of Humpback Whale Calls Using Deep Learning: A Comparative Study of Neural Architectures and Acoustic Feature Representations. [PDF]
Johnson JC, Rong Y.
europepmc +1 more source

