Biological Sciences
http://hdl.handle.net/10034/622973
2024-03-28T15:04:44Z
2024-03-28T15:04:44Z
ISRA9PHL0474 Monad & Kimud Shoals Factsheet
Oliver, Simon P.
Cases, Gary
Brown, James
Gokoz, Alp
Faringstam, Isabelle
Gonzalez-Pestana, Adrianna
http://hdl.handle.net/10034/628512
2024-03-02T01:38:34Z
ISRA9PHL0474 Monad & Kimud Shoals Factsheet
Oliver, Simon P.; Cases, Gary; Brown, James; Gokoz, Alp; Faringstam, Isabelle; Gonzalez-Pestana, Adrianna
Monad & Kimud Shoals are located southeast of Malapascua Island in the Central Visayan Sea, central Philippines. The Visayan Sea is a relatively shallow area with frequent wind- driven vertical mixing due to its shallow nature, and land-based nutrient run-off which play an important role in supplementing the overall primary production. Monad & Kimud Shoals are shallow seamounts, 7 km apart. The top of the seamounts forms a plateau at 15 to 25 m depth. This area overlaps with the Sulu-Sulawesi Marine Ecoregion an Ecologically and Biologically Significant Marine Area (EBSA), and two marine protected areas. Within this area there are: threatened species and distinctive attributes (Pelagic Thresher Alopias pelagicus).
Pain in Sheep
McLennan, Krista M.
http://hdl.handle.net/10034/628451
2024-02-14T08:16:52Z
2024-01-19T00:00:00Z
Pain in Sheep
McLennan, Krista M.
Pain in sheep can occur for a variety of reasons, including disease, injury, and naturally through parturition. Sheep, as a prey species, do not overtly express pain making it challenging for owners and veterinarians to recognise and thus effectively treat pain. By observing facial expressions, it is possible to recognise and quantify the pain a sheep may be experiencing. This enables the provision of treatment and the prevention of any further suffering. Information © The Author 2024
© The Author 2024
2024-01-19T00:00:00Z
Automatic detection of indris songs using convolutional neural networks
Valente, Daria
Ravaglia, Davide
Ferrario, Valeria
De Gregorio, Chiara
Carugati, Filippo
Raimondi, Teresa
Cristiano, Walter
Torti, Valeria
von Hardenberg, Achaz
Ratsimbazafy, Jonah
Giacoma, Cristina
Gamba, Marco
http://hdl.handle.net/10034/628448
2024-01-29T14:29:03Z
2024-01-17T00:00:00Z
Automatic detection of indris songs using convolutional neural networks
Valente, Daria; Ravaglia, Davide; Ferrario, Valeria; De Gregorio, Chiara; Carugati, Filippo; Raimondi, Teresa; Cristiano, Walter; Torti, Valeria; von Hardenberg, Achaz; Ratsimbazafy, Jonah; Giacoma, Cristina; Gamba, Marco
This conference contribution is not available on ChesterRep
2024-01-17T00:00:00Z
How Useful Are Existing Protocols in the Quick Assessment of the Welfare of Semi-Feral Horses? Pilot Study on Konik Polski Horses Living in the Forest Sanctuary
Górecka-Bruzda, Aleksandra
Siemieniuch, Marta
Lansade, Léa
Stanley, Christina R.
http://hdl.handle.net/10034/628392
2024-01-03T02:27:51Z
2023-12-19T00:00:00Z
How Useful Are Existing Protocols in the Quick Assessment of the Welfare of Semi-Feral Horses? Pilot Study on Konik Polski Horses Living in the Forest Sanctuary
Górecka-Bruzda, Aleksandra; Siemieniuch, Marta; Lansade, Léa; Stanley, Christina R.
Scientifically validated and standardised methods for the evaluation of the welfare of free-living horses are urgently needed by both the owners and managers of these populations and those responsible for implementing national welfare legislation. The aim of the study was to test the feasibility and usefulness of two welfare protocols that could be applied to semi-feral populations: a prototype of welfare assessment template (WAT) for Carneddau semi-feral ponies and the IFCE/INRAE Horse Welfare Protocol. Additionally, the body condition scale designed by Henneke (BCS-H) was employed. The study took place in July/August 2022 and April 2023 to evaluate the welfare of a pilot population of nineteen semi-feral Konik polski horses. The horses scored high or satisfactory under indicators across both protocols; only body condition scores were significantly lower in early spring (BCS-WAT: 1.11 ± 0.57; BCS-H: 3.84 ± 1.17) than in the summer (BCS-WAT: 1.58 ± 0.61; BCS-H: 5.63 ± 1.01). Our study confirmed the feasibility of utilising most of the WAT and IFCE/INRAE welfare indicators in semi-feral horses. Some adaptations, such as considering validation of scales, positive welfare indicators and animals’ free-choice of conditions, have been suggested for future in-field application.
2023-12-19T00:00:00Z