Peter W. Dillingham, Research Scientist
The George Perkins Marsh Institute
Worcester, MA 01610-1477
Current Research Interests
Peter develops statistical methods applied to ecological and environmental studies. His primary research focus is developing methods for setting take limits of data-deficient marine megafauna such as seabirds, sea turtles, marine mammals, and sharks. This work uses population modelling techniques and computational simulation to develop simple decision rules that can be easily applied to a variety of species. Other research interests include estimation of demographic parameters, modelling the calibration and response of environmental sensors, integrated modelling of multiple data sources, and multi-model inference.
Dillingham, Peter W. 2010. Generation time and the maximum growth rate for populations with age-specific fecundities and unknown juvenile survival. Ecological Modelling 211: 895-899.
Dillingham, Peter W., and David Fletcher. 2008. Estimating the ability of birds to sustain additional human-caused mortalities using a simple decision rule and allometric relationships. Biological Conservation 141: 1783-1792.
Conroy, Michael J., Richard J. Barker, Peter W. Dillingham, David Fletcher, Andrew M. Gormley, and Ian Westbrooke. 2008. Application of decision theory to conservation management: recovery of Hector's dolphins. Wildlife Research 35: 93-102.
Skalski, John R., Joshua J. Millspaugh, Peter Dillingham, and Rebecca A. Buchanan. 2007. Calculating the variance of the finite rate of population change from a matrix model in Mathematica. Environmental Modelling & Software 22: 359-364.
Townsend, Richard, John R. Skalski, Peter Dillingham, and Tracey W. Steig. 2006. Correcting bias in survival estimation resulting from tag failure in acoustic and radiotelemetry studies. Journal of Agricultural, Biological, and Environmental Statistics 11: 183-196.
Dillingham, Peter W., John R. Skalski, and Kristen E. Ryding. 2006. Fine geographic scale interactions between Steller sea lion abundance and trends of local fisheries. Canadian Journal of Fisheries and Aquatic Sciences 63: 107-119.