Postgraduate Students

< Return to Postgraduate Students List
Grant Humphries

Grant Humphries

PhD Candidate

Grant Humphries was born and raised in Newfoundland, Canada, where he spent most of his life outdoors, fishing, hunting, hiking and bird-watching. He finished his undergraduate degree at Memorial University of Newfoundland with a focus on seabird ecology. He then moved on to do his master's degree at the University of Alaska Fairbanks, where he continued working with seabirds while developing skills in GIS programming and analysis, as well as landscape ecology. During his time in Alaska, Grant gave a total of 15 talks and posters, while attending 11 conferences in the United States, Canada, Japan and India.

Grant's current research projects include Geographic Variation in Leach?s Storm Petrel (Oceanodroma leucorhoa) vocalizations; Predicting sea surface Dimethylsulfide (DMS) concentrations on a global scale; Predicting distribution of storm petrels in the North Pacific; and the Alaska Gap Analysis Project. He is also involved in the Pacific Seabird Group, World Seabird Consortium, and The Wildlife Society. At the University of Otago, Grant is completing a PhD entitled Predicting ocean and climate systems using Sooty Shearwaters (T?t?; Puffinus griseus). His supervisors are Professor Henrik Moller (CSAFE), Jake Overton (Landcare Research), and Dr. Gabrielle Nevitt (University of California Davis).

Grant's research interests include climate-ocean interactions as related to seabirds; spatial marine planning; and spatial software development. He is also a heavy birder and skilled python programmer, and an active member of the global seabird community.

Research Interests: Procellariiform seabirds (Tubenoses), signal molecules, oceanography, climate, landscape ecology, seascape ecology, statistical modelling, geographic information systems (GIS), data mining, programming (Python, Unix, R)

Significant Publications

Humphries, G.R.W., Huettmann, F., Deal, C., Atkinson, D., and Elliott S. In Review. Predicting monthly surface seawater Dimethylsulfide (DMS) concentrations on a global scale using a machine learning algorithm (Treenet). Global Biogeochemical Cycles

Humphries, G., and Huettmann F. 2010. Issues with, and history of, Arctic seabird protection, new Shipping Lanes, Big Oil and Climate Change In: Polar Conservation. In review. Huettmann (Ed.) Springer Japan.

Humphries, G.R.W., Huettmann F., Deal C., and Atkinson D. In progress. Predicted distribution of Storm-Petrels (Oceanodroma) in the North Pacific. Ecological Applications

Elliott S., Deal C., Humphries G., Hunke E., Jeffery N., Jin M., Levasseur M., and Stefels J. In review. Pan-Arctic Simulation of Coupled Nutrient-Sulfur Cycling due to Sea Ice Biology. Journal of Geophysical Research

Huettmann F., Arthukin Y., Gilg O., and Humphries G. In Press. Predictions of 27 circumpolar pelagic seabird distributions using public environmental variables, assessed with compiled public colony data: a first IPY and GBIF Open Access synthesis platform for a sustainable management. Accepted by Marine Biology

Humphries, G.R.W., Huettmann, F., Deal, C., Atkinson, D., and Nevitt, G. In progress Predicted distribution of Storm-Petrels (Oceanodroma) in the North Pacific.

Humphries, G.R.W., Deal, C., Elliott, S., and Huettmann, F. In review. Spatial predictions of sea surface Dimethylsulfide concentrations in the high Arctic using physical ocean characteristics. Biogeochemistry

Humphries, G.R.W. 2011. The Alaska GAP Modeling Package (V1.0 ? V2.7) [Computer program]

Humphries, G.R.W., and Polusukhin, I., In progress. SPEEDMAP: A spatial wrapper for Maxent modelling (V1.0)[Computer program]


Our People