Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Johanna J. Geeson"'
Autor:
Johanna J. Geeson, Mark A. Hindell, Alistair J. Hobday, Cassie N. Speakman, John P. Y. Arnould
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
The Australian fur seal (Arctocephalus pusillus doriferus, AUFS) population is still recovering from the over-exploitation of the commercial-sealing era (18th and 19th centuries). While the population is considered to be only < 47% of its pre-harvest
Externí odkaz:
https://doaj.org/article/7cf8380e0edf4f6ebd30a8b9186e0a39
Autor:
Antoine M. Dujon, Daniel Ierodiaconou, Johanna J. Geeson, John P. Y. Arnould, Blake M. Allan, Kostas A. Katselidis, Gail Schofield
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 3, Pp 341-354 (2021)
Abstract Machine learning algorithms are being increasingly used to process large volumes of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms to monitor multiple species are required to enhance efficiency. Here
Externí odkaz:
https://doaj.org/article/59d3bc09900940108cd67f9bee6b69b7
Publikováno v:
Royal Society Open Science, Vol 9, Iss 4 (2022)
Knowledge of factors affecting a species' breeding biology is crucial to understanding how environmental variability impacts population trajectories and enables predictions on how species may respond to global change. The Australian fur seal (Arctoce
Externí odkaz:
https://doaj.org/article/76da8aeea8504f4ea477002f4ba9e3ce
Autor:
Brett R. Gardner, Jasmin Hufschmid, John Stenos, Mythili Tadepalli, Grace Sutton, Aymeric Fromant, Yonina Eizenberg, Johanna J. Geeson, John P. Y. Arnould
Publikováno v:
Pathogens, Vol 12, Iss 1, p 122 (2023)
Recently, Coxiella burnetii has been described as a novel pathogen potentially contributing to decreased pup production in Australian fur seals (AusFS, Arctocephalus pusillus doriferus). Pacific gulls (PGs, Larus pacificus) are known to scavenge AusF
Externí odkaz:
https://doaj.org/article/0d211293197640fcab8dc03b536f5bc8
Autor:
Kostas A. Katselidis, Johanna J. Geeson, Gail Schofield, John P. Y. Arnould, Daniel Ierodiaconou, Antoine M. Dujon, Blake M. Allan
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 3, Pp 341-354 (2021)
Machine learning algorithms are being increasingly used to process large volumes of wildlife imagery data from unmanned aerial vehicles (UAVs); however, suitable algorithms to monitor multiple species are required to enhance efficiency. Here, we deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c45a9c0a26ec293cb0247ad001c37ea
https://doaj.org/article/59d3bc09900940108cd67f9bee6b69b7
https://doaj.org/article/59d3bc09900940108cd67f9bee6b69b7
Colony relocation of Greater Crested Terns Thalasseus bergii in Bass Strait, south-eastern Australia
Autor:
John P. Y. Arnould, Yonina H. Eizenberg, Rosalind Jessop, Aymeric Fromant, Johanna J. Geeson, Arnaud Lec’hvien
Publikováno v:
Australian Field Ornithology. 37:166-171
A newly established Greater Crested T ern Thalasseus bergii colony was observed on Kanowna Island, northern Bass Strait, in December 2019 and was monitored through January 2020. A maximum of 532 ± 28 nests was counted, representing ~15–20% of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe22a194d282df4d17b2a6e0e4b5fcc
https://doi.org/10.20938/afo37166171
https://doi.org/10.20938/afo37166171
Autor:
Jérôme Fort, Johanna J. Geeson, Katherine C. Brownlie, Paco Bustamante, John P. Y. Arnould, Ross Monash
Publikováno v:
Emu
Emu, CSIRO Publishing, 2020, 120 (2), pp.123-134. ⟨10.1080/01584197.2020.1732828⟩
Emu, CSIRO Publishing, 2020, 120 (2), pp.123-134. ⟨10.1080/01584197.2020.1732828⟩
Establishing appropriate conservation management objectives and actions for seabirds requires timely detection of changes in their populations. However, obtaining regular accurate measures of seabird population size and trends can be difficult due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28a3cb6020064359fb21105d4f7d4456
