Results 201 to 210 of about 197,633 (342)

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

Remote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann, Valdemar Palmqvist, Johanna Stedt   +2 more
wiley   +1 more source

Marine mammals as indicators of Anthropocene Ocean Health. [PDF]

NPJ Biodivers
Plön S, Andra K, Auditore L, Gegout C, Hale PJ, Hampe O, Ramilo-Henry M, Burkhardt-Holm P, Jaigirdar AM, Klein L, Maewashe MK, Müssig J, Ramsarup N, Roussouw N, Sabin R, Shongwe TC, Tuddenham P.   +16 more
europepmc   +1 more source

Small reductions in cargo vessel speed substantially reduce noise impacts to marine mammals. [PDF]

Sci Adv, 2023
Findlay CR, Rojano-Doñate L, Tougaard J, Johnson MP, Madsen PT.   +4 more
europepmc   +1 more source

Assessing the risks to marine mammal populations from renewable energy devices: an interim approach

, 2012
David Lusseau, Fredrik Christiansen, John Harwood, Sónia Mendes, Paul M. Thompson, Kate E. Smith, Gordon D. Hastie   +6 more
openalex   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Multi-level genomic convergence of secondary aquatic adaptation in marine mammals. [PDF]

Innovation (Camb)
Xu S, Shan L, Tian R, Yu Z, Sun D, Zhang Z, Seim I, Zhou M, Sun L, Liang N, Zhang Q, Chai S, Yin D, Deme L, Wu T, Chen Y, Xu Z, Zheng Y, Ren W, Yang G.   +19 more
europepmc   +1 more source

The microbiome of African penguins (Spheniscus demersus) under managed care resembles that of wild marine mammals and birds. [PDF]

Sci Rep, 2023
Graciette AGC, Hoopes LA, Clauss T, Stewart FJ, Pratte ZA.   +4 more
europepmc   +1 more source

ASU to offer marine mammal course in Bahamas.

, 2007
Aldemaro Romero
openalex   +1 more source

Species identification of archaeological marine mammals using collagen fingerprinting

, 2013
Michael Buckley, S. Fraser, Jeremy S. Herman, Nigel Melton, Jacqui Mulville, Albína Hulda Pálsdóttir   +5 more
openalex   +1 more source

Monitoring feral pigs (Sus scrofa): Complementarity between autonomous sensing methods increases detection probability

Remote Sensing in Ecology and Conservation, EarlyView.
Invasive alien species are a major threat for biodiversity worldwide and effective monitoring is paramount to inform management. In this study we used a multi‐season occupancy model to assess probability of detection between camera traps and passive acoustic recorders for feral pigs (Sus scrofa) during 1 year of data collection.
Marina D. A. Scarpelli, Stewart Macdonald, Maryam Golchin, Simon Linke, Jens G. Froese   +4 more
wiley   +1 more source