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Items: 7


Using accelerometers to develop time-energy budgets of wild fur seals from captive surrogates.

Ladds MA, Salton M, Hocking DP, McIntosh RR, Thompson AP, Slip DJ, Harcourt RG.

PeerJ. 2018 Oct 26;6:e5814. doi: 10.7717/peerj.5814. eCollection 2018.


Creating functional groups of marine fish from categorical traits.

Ladds MA, Sibanda N, Arnold R, Dunn MR.

PeerJ. 2018 Oct 23;6:e5795. doi: 10.7717/peerj.5795. eCollection 2018.


Proxies of energy expenditure for marine mammals: an experimental test of "the time trap".

Ladds MA, Rosen DAS, Slip DJ, Harcourt RG.

Sci Rep. 2017 Sep 18;7(1):11815. doi: 10.1038/s41598-017-11576-4.


Intrinsic and extrinsic influences on standard metabolic rates of three species of Australian otariid.

Ladds MA, Slip DJ, Harcourt RG.

Conserv Physiol. 2017 Feb 21;5(1):cow074. doi: 10.1093/conphys/cow074. eCollection 2017.


The utility of accelerometers to predict stroke rate in captive fur seals and sea lions.

Ladds MA, Rosen DA, Slip DJ, Harcourt RG.

Biol Open. 2017 Sep 15;6(9):1396-1400. doi: 10.1242/bio.027029.


Seeing It All: Evaluating Supervised Machine Learning Methods for the Classification of Diverse Otariid Behaviours.

Ladds MA, Thompson AP, Slip DJ, Hocking DP, Harcourt RG.

PLoS One. 2016 Dec 21;11(12):e0166898. doi: 10.1371/journal.pone.0166898. eCollection 2016.


Swimming metabolic rates vary by sex and development stage, but not by species, in three species of Australian otariid seals.

Ladds MA, Slip DJ, Harcourt RG.

J Comp Physiol B. 2017 Apr;187(3):503-516. doi: 10.1007/s00360-016-1046-5. Epub 2016 Nov 1.


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