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#marinemammals

17 posts8 participants3 posts today

Facebook’s reach is rubbish, and Meta’s politics? 🤮 So, I’ve started sharing Marine Mammal News over on Tumblr. Yes, there are ads, but at least they’re not* shoving targeted political nonsense in your face (*as much).

If you’re into whales, dolphins, manatees and the like, please come follow along: marine-mammal-news.tumblr.com/

🐬

TumblrMarine Mammal NewsA place for marine mammal related news. Migrated from Meta.

When migrating whales encounter speeding boats and buzzing drones in their habitat

"A whale calf has been struck by a boat off the New South Wales South Coast weeks after its mother was hit by another vessel."

"A southern right whale calf is believed to have died after being hit by a boat near Coffs Harbour earlier this year."
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abc.net.au/news/2025-07-21/sou
#Whales #MigratorySpecies #CMS #Marine #habitat #MarineMammals #NSW #BoatStrikes #speed #FossilFuel #vessels #UAVs

ABC News · Southern right whale calf hit by boat at Stanwell Park, NSWBy Penny Burfitt

[Kim, Kim, & Paeng] Monitoring of wild and rehabilitating dolphin interactions during rehabilitation period using surveillance technologies nature.com/articles/s41598-025 🐬

NatureMonitoring of wild and rehabilitating dolphin interactions during rehabilitation period using surveillance technologies - Scientific ReportsAmidst growing animal rights movements, the release of captive cetaceans, particularly killer whales and dolphins, into their natural environments has gained increasing support from activists due to ethical concerns. However, there is a notable lack of quantitative studies on the interactions between wild and captive dolphins during rehabilitation before release. This study assesses the rehabilitation process of captive dolphin during its stay in the sea pen using advanced surveillance techniques. Methods including CCTV, hydrophone monitoring, and drone observations were utilized to document interactions between rehabilitating and wild dolphins. A convolutional neural network-based detector for dolphin whistle sound was used to automatically detect the whistle from underwater sound recorded at the rehabilitation site, which significantly expedited the identification of wild dolphin encounters compared to traditional manual methods. This technology also facilitated synchronized analysis of underwater sounds, CCTV footage, and drone videos, providing comprehensive visual and acoustic observations of captive and wild dolphins during encounters. This research offers insights that can guide future dolphin rehabilitation monitoring and release strategies.