Richard Barker

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Matthew SchofieldUniversity of OtagoVerified email at otago.ac.nz
William A. LinkUSGS Eastern Environmental Science Center (Emeritus)Verified email at usgs.gov
John SauerUnited States Geological SurveyVerified email at usgs.gov
Simon NicolSecretariat of the Pacific CommunityVerified email at canberra.edu.au
Gary C WhiteColorado State UniversityVerified email at ColoState.Edu
David M. ForsythVertebrate Pest Research Unit, NSW Department of Primary IndustriesVerified email at dpi.nsw.gov.au
Charles ToddArthur Rylah InstituteVerified email at delwp.vic.gov.au
James NicholsSenior Scientist Emeritus, Patuxent Wildlife Research Center, USGSVerified email at usgs.gov
Will AllenLearning for Sustainability - https://learningforsustainability.netVerified email at learningforsustainability.net
RB Allen[email protected]Verified email at landcareresearch.co.nz
Sarah RichardsonEcologist, Manaaki Whenua - Landcare Research, New ZealandVerified email at LandcareResearch.co.nz
Chris JacobsonUniversity of the Sunshine CoastVerified email at usc.edu.au
David S.L. RamseyArthur Rylah Institute for Environmental ResearchVerified email at delwp.vic.gov.au
Ailsa HallDirector Sea Mammal Research UnitVerified email at st-andrews.ac.uk
Corey J. A. BradshawMatthew Flinders Professor of Global Ecology, Flinders UniversityVerified email at flinders.edu.au
Steve DawsonEmeritus Professor, Marine Science Department, University of OtagoVerified email at otago.ac.nz
Andrew M. GormleyQuantitative Ecologist, Manaaki Whenua - Landcare Research, New ZealandVerified email at landcareresearch.co.nz
William KendallU. S. Geological Survey, Colorado Cooperative Fish and Wildlife Research UnitVerified email at colostate.edu
Peter BellinghamManaaki Whenua - Landcare ResearchVerified email at landcareresearch.co.nz
Lloyd S. DavisUniversity of OtagoVerified email at otago.ac.nz

Richard Barker

University of Otago

Verified email at maths.otago.ac.nz

Statistics Bayesan Inference Ecology Wildlife Fisheries


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Bayesian inference: with ecological applications WA Link, RJ Barker Academic Press, 2009	480	2009
Model weights and the foundations of multimodel inference WA Link, RJ Barker Ecology 87 (10), 2626-2635, 2006	464	2006
Modeling individual animal histories with multistate capture–recapture models JD Lebreton, JD Nichols, RJ Barker, R Pradel, JA Spendelow Advances in ecological research 41, 87-173, 2009	396	2009
Joint modeling of live-recapture, tag-resight, and tag-recovery data RJ Barker Biometrics, 666-677, 1997	347	1997
Factors affecting first‐year survival in grey seals and their implications for life history strategy H Ailsa J, MC Bernie J, B Richard J Journal of Animal Ecology 70 (1), 138-149, 2001	309	2001
On the reliability of N‐mixture models for count data RJ Barker, MR Schofield, WA Link, JR Sauer Biometrics 74 (1), 369-377, 2018	281	2018
First evidence that marine protected areas can work for marine mammals AM Gormley, E Slooten, S Dawson, RJ Barker, W Rayment, S du Fresne, ... Journal of Applied Ecology 49 (2), 474-480, 2012	217	2012
Multistate survival models and their extensions in Program MARK GC White, WL Kendall, RJ Barker The Journal of Wildlife Management 70 (6), 1521-1529, 2006	200	2006
On the robustness of N‐mixture models WA Link, MR Schofield, RJ Barker, JR Sauer Ecology 99 (7), 1547-1551, 2018	174	2018
Factors influencing survival and long-term population viability of New Zealand long-tailed bats (Chalinolobus tuberculatus): implications for conservation MA Pryde, CFJ O’Donnell, RJ Barker Biological conservation 126 (2), 175-185, 2005	145	2005
Modeling the relationship between fecal pellet indices and deer density DM Forsyth, RJ Barker, G Morriss, MP Scroggie The Journal of Wildlife Management 71 (3), 964-970, 2007	140	2007
Modeling association among demographic parameters in analysis of open population capture–recapture data WA Link, RJ Barker Biometrics 61 (1), 46-54, 2005	133	2005
Within‐site variability in surveys of wildlife populations WA Link, RJ Barker, JR Sauer, S Droege Ecology 75 (4), 1097-1108, 1994	110	1994
Incorporating genotype uncertainty into mark–recapture-type models for estimating abundance using DNA samples JA Wright, RJ Barker, MR Schofield, AC Frantz, AE Byrom, DM Gleeson Biometrics 65 (3), 833-840, 2009	101	2009
Modelling population change from time series data RJ Barker, JR Sauer Wildlife 2001: populations, 182-194, 1992	84	1992
Efficient estimation of abundance for patchily distributed populations via two‐phase, adaptive sampling MJ Conroy, JP Runge, RJ Barker, MR Schofield, CJ Fonnesbeck Ecology 89 (12), 3362-3370, 2008	82	2008
Flexible hierarchical mark-recapture modeling for open populations using WinBUGS MR Schofield, RJ Barker, DI MacKenzie Environmental and Ecological Statistics 16, 369-387, 2009	81	2009
Sources of variation in waterfowl survival rates DG Krementz, RJ Barker, JD Nichols The Auk 114 (1), 93-102, 1997	80	1997
The effect of total immunoglobulin levels, mass and condition on the first‐year survival of Grey Seal pups AJ Hall, BJ McConnell, RJ Barker Functional Ecology 16 (4), 462-474, 2002	76	2002
Survival of Ulex europaeus seeds in the soil at three sites in New Zealand RL Hill, AH Gourlay, RJ Barker New Zealand Journal of Botany 39 (2), 235-244, 2001	74	2001

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