Darryl MacKenzie is a young biometrician with a rapidly growing international reputation. His main area of expertise is in using occupancy models for monitoring and research. He started working in this area while on a year long stint at Patuxent Wildlife Research Center with Drs William L. Kendall and James D. Nichols during 2000/01. He has been involved with applying statistical techniques to a wide range of animals including grizzly bears, sea lions, frogs, salamanders, owls, ducks and giant weta. He has acted as a statistical consultant to the Department of Conservation, Ministry of Fisheries and the U.S. Geological Survey. In 2002 Darryl was awarded a prestigious Fast-Start Marsden Grant from the Royal Society of New Zealand for research into optimal study designs for estimating the proportion of area occupied by a target species.

Some of Darryl's recent publications include:

In Press

• MacKenzie, D.I. 2006. Modeling the probability of resource use: the effect of, and dealing with, detecting a species imperfectly. Journal of Wildlife Management.

2005

• MacKenzie, D.I., J.D. Nichols, J.A. Royle, K.H. Pollock, J.E. Hines and L.L. Bailey. 2005. Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence Elsevier, San Diego, USA.
• MacKenzie, D.I., and J.A. Royle. 2005. Designing efficient occupancy studies: general advice and tips on allocation of survey effort. Journal of Applied Ecology 42: 1105-1114. (pdf)
• MacKenzie, D.I. 2005. What are the issues with ‘presence/absence’ data for wildlife managers? Journal of Wildlife Management. 69: 849-860. (pdf)
• MacKenzie, D.I., J.D. Nichols, N. Sutton, K. Kawanishi and L.L. Bailey. 2005. Improving inferences in population studies of rare species that are detected imperfectly. Ecology 86: 1101-1113. (pdf)
• Fletcher, D., D. MacKenzie and E. Villouta. 2005. Modelling skewed data with many zeros: a simple approach combining ordinary and logistic regression. Environmental and Ecological Statistics 12: 45-54. (pdf)
• MacKenzie, D.I. 2005. Was it there? Dealing with imperfect detection for species presence/absence data. Australian and New Zealand Journal of Statistics 47: 65-74. (pdf)

2004

• MacKenzie, D.I., J.A. Royle, J.A. Brown, and J.D. Nichols. 2004. Occupancy estimation and modeling for rare and elusive populations. Pages 149-172 in W.L. Thompson (ed), Sampling Rare or Elusive Species. Island Press, Washington, D.C.
• MacKenzie, D.I., and J.D. Nichols. 2004. Occupancy as a surrogate for abundance estimation. Animal Biodiversity and Conservation 27: 461-467.
• MacKenzie, D.I., and L.L. Bailey. 2004. Assessing the fit of site occupancy models. Journal of Agricultural, Biological and Ecological Statistics 9: 300-318. (pdf, 1.9MB!)
• MacKenzie, D.I., L.L. Bailey and J.D. Nichols. 2004. Investigating species co-occurrence patterns when species are detected imperfectly. Journal of Animal Ecology 73: 546-555. (pdf)

2003

• MacKenzie, D.I., J.D. Nichols, J.E. Hines, M.G. Knutson and A.D. Franklin. 2003.  Estimating site occupancy, colonization and local extinction when a species is detected imperfectly.  Ecology 84: 2200-2207. (pdf)
• Manly, B.F.J., and D.I. MacKenzie.  2003.  CUSUM environmental monitoring in time and space.  Environmental and Ecological Statistics 10: 231-247. (pdf), (rejoinder)

2002

• Jennelle, C.S., M.C. Runge and D.I. MacKenzie.  2002.  The use of photographic rates to estimate densities of tigers and other cryptic animals:  A comment on misleading conclusions. Animal Conservation 5:  119-120. (tif)
• MacKenzie, D.I., and W.L. Kendall.  2002.  How should detection probability be incorporated into estimates of relative abundance. Ecology 83:  2387-2393.(pdf), (erratum)
• MacKenzie, D.I., J.D. Nichols, G.B. Lachman, S. Droege, J.A. Royle and C.A. Langtimm.  2002.  Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:  2248-2255. (pdf)

2001

• Boyce, M. S., D. I. MacKenzie, B. F. J. Manly, M. A. Haroldson, D. Moody.  2001.  Negative binomial models for abundance estimation of multiple closed populations.  Journal of Wildlife Management 65: 498-509.
• MacKenzie, D.I. and M.S. Boyce.  2001.  Estimating closed population size using negative binomial models.  In Proceedings of 7th Western Black Bear Workshop, pages 21-23. (tif)
• MacKenzie, D.I. and B.F.J. Manly.  2001.  Randomization tests for time effects and heterogeneity in capture probabilities for closed populations, Journal of Agricultural, Biological and Ecological Statistics 6: 292-301.

2000

• Manly, B.F.J. and D.I. MacKenzie.  2000.  A cumulative sum type of method for environmental monitoring.  Environmetrics 11: 151-166.