Shane Baylis

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Rowan MottEcologist - Bush Heritage AustraliaVerified email at monash.edu
Jarrod C. HodgsonEnvironmental Research Institute of the Supervising ScientistVerified email at dcceew.gov.au
Rohan ClarkeBiological Sciences, Monash UniversityVerified email at monash.edu
Mr Adam D KilpatrickAdelaide Nursing School, The University of AdelaideVerified email at adelaide.edu.au
Ramesh Raja SegaranDirector, Unmanned Research Aircraft Facility, The University of AdelaideVerified email at adelaide.edu.au
Ashley HerrodAvian Threatened Species Coordinator, Moonlit SanctuaryVerified email at moonlit-sanctuary.com
Aleks TeraudsAustralian Antarctic DivisionVerified email at aad.gov.au
Simon WotherspoonAustralian Antarctic DivisionVerified email at aad.gov.au
Lian Pin KohChair Professor and Associate Vice President, National University of SingaporeVerified email at nus.edu.sg
Trung T. PhamStaff Computer Vision Scientist at NVIDIA, The Australian Centre of Robotic Vision, The UniversityVerified email at nvidia.com
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideVerified email at adelaide.edu.au
Mark E. HauberProfessor of Comparative Psychology and Executive Director, ASRC, GC CUNYVerified email at gc.cuny.edu
Kerri MorganMassey UniversityVerified email at massey.ac.nz
Susan WaughBirdLife InternationalVerified email at birdlife.org
Alan TennysonVertebrate Curator, Museum of New Zealand Te Papa TongarewaVerified email at tepapa.govt.nz
Colin MiskellyMuseum of New Zealand Te Papa TongarewaVerified email at tepapa.govt.nz
Paul B. ConnResearch Statistician, NOAA/AFSC Marine Mammal LabVerified email at noaa.gov
Jay Ver HoefNOAA Fisheries, Alaska Fisheries Science Center, Marine Mammal Lab, Federal GovernmentVerified email at noaa.gov
Professor Paul SunnucksSchool of Biological Sciences, Monash UniversityVerified email at monash.edu
Phill CasseyUniversity of AdelaideVerified email at adelaide.edu.au

Shane Baylis

CSIRO

Verified email at csiro.au

Conservation Biology Population Modelling Demography Reproducibility


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Precision wildlife monitoring using unmanned aerial vehicles JC Hodgson, SM Baylis, R Mott, A Herrod, RH Clarke Scientific reports 6 (1), 22574, 2016	488	2016
Drones count wildlife more accurately and precisely than humans JC Hodgson, R Mott, SM Baylis, TT Pham, S Wotherspoon, AD Kilpatrick, ... Methods in Ecology and Evolution 9 (5), 1160-1167, 2018	437	2018
Robustness of close‐kin mark–recapture estimators to dispersal limitation and spatially varying sampling probabilities PB Conn, MV Bravington, S Baylis, JM Ver Hoef Ecology and Evolution 10 (12), 5558-5569, 2020	28	2020
Capsaicin as a deterrent against introduced mammalian nest predators SM Baylis, P Cassey, ME Hauber The Wilson Journal of Ornithology 124 (3), 518-524, 2012	21	2012
The influence of petroleum oil films on the feather structure of tropical and temperate seabird species J Matcott, S Baylis, RH Clarke Marine pollution bulletin 138, 135-144, 2019	14	2019
Precision wildlife monitoring using unmanned aerial vehicles. Sci Rep 6: 22574 JC Hodgson, SM Baylis, R Mott, A Herrod, RH Clarke	13	2016
Inferring maximum lifespan from maximum recorded longevity in the wild carries substantial risk of estimation bias SM Baylis, M de Lisle, ME Hauber Ecography 37 (8), 770-780, 2014	12	2014
Assessing avian mortality during oil spills: a case study of the New Zealand MV ‘Rena’oil spill, 2011 SA Hunter, AJD Tennyson, JAS Bartle, CM Miskelly, SM Waugh, ... Endangered Species Research 39, 303-314, 2019	11	2019
Does the house sparrow Passer domesticus represent a global model species for egg rejection behavior? T Manna, C Cooper, S Baylis, MD Shawkey, GIN Waterhouse, T Grim, ... Journal of Avian Biology 48 (3), 346-352, 2017	11	2017
Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution, 9: 1160-1167 JC Hodgson, R Mott, SM Baylis, TT Pham, S Wotherspoon, AD Kilpatrick, ...	10	2018
Low levels of sibship encourage use of larvae in western Atlantic bluefin tuna abundance estimation by close-kin mark-recapture JR McDowell, M Bravington, PM Grewe, M Lauretta, JF Walter III, ... Scientific reports 12 (1), 18606, 2022	7	2022
Estimates of wear rates in metal bird bands, with applications for survival and movement models of marked individuals SM Baylis, D Drynan, N Clarke, M Van, P Sunnucks, RH Clarke Journal of Field Ornithology 89 (4), 393-406, 2018	6	2018
Impacts of the RENA oil spill on New Zealand seabirds C Miskelly, S Baylis, A Tennyson, S Waugh, S Bartle, S Hunter, B Gartrell, ... Unpublished poster held by Te Papa, Wellington. Retrieved from http …, 2012	5	2012
Close-kin mark-recapture informs critically endangered terrestrial mammal status LR Lloyd-Jones, MV Bravington, KN Armstrong, E Lawrence, P Feutry, ... Scientific reports 13 (1), 12512, 2023	4	2023
A model for first‐estimates of species‐specific, age‐specific mortality from centralized band‐recovery databases SM Baylis, P Sunnucks, R Clarke Ecosphere 9 (4), e02136, 2018	4	2018
A comparison of the accuracy of simulated animal counts using traditional and UAV-assisted methods JC Hodgson, SM Baylis, R Mott OSF, 2016	4	2016
Causes of seabird mortality in the Bay of Plenty, Oct-Nov 2011 AJD Tennyson, S Hunter, CM Miskelly, S Baylis, SM Waugh, S Bartle, ... papers presented at the Ornithological Society of New Zealand AGM and …, 2012	3	2012
Implications of past and present genetic connectivity for management of the saltwater crocodile (Crocodylus porosus) LR Lloyd‐Jones, ML Brien, P Feutry, E Lawrence, P Beri, S Booth, ... Evolutionary Applications 16 (4), 911-935, 2023	2	2023
Planting the seeds of a Tree of Death: A new approach, supporting information, test cases, and a national-scale study of population mortality structures from animal-marking records SM Baylis Monash University, 2017	2	2017
fishSim - population simulation support for close-kin mark-recapture S Baylis https://doi.org/10.6084/m9.figshare.8479346.v1, 2019		2019

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