bridging the gap between
field logistics and quantitative ecology

My take on the field of Ecology

In the field of ecology, we are confronted with increasingly complex questions that necessitate a nuanced understanding of theory, practical experience with study design and implementation, and a detailed knowledge of current statistical modeling frameworks. In order to tackle big questions, we often must foster collaboration among experts from varied specialties or manage data from disparate sources. Unfortunately, the expanding gap between specialities can lead to a breakdown in efficiency and quality of research.

Thus, I have tailored my career toward operating at the interface between field operations and quantitative ecology in an effort to promote more efficient dialog among operations staff and ecological statiticians. In so doing, I bring a skill-set unique to the field of ecology and can readily balance the need for statistical rigour with an indepth understanding of logistical constraints from the field.

I have extensive experience in a variety of analytical frameworks, including frequentist and Bayesian approaches to data analysis. Though varied, my interests can be broadly defined by movement and spatial ecology, with a particular enthusiam for establishing the link between behavior and demography.

High proficiency in:

  • Movement models (e.g., SSF, correlated random walk, hidden Markov models)
  • Demographic models (e.g., CJS, known-fate survival, PVA)
  • Agent-based models
  • Resource selection models (e.g., RSF/RSPF, SSF, occupancy)
  • Capture-mark-recapture models (including spatial CMR)
  • Generalized linear mixed models
  • Machine learning
  • Phylogenetic models

Please visit my Research Gate profile for more information related to my past (published) research.

Finally, I am an expert in R programming with proficiency in a number of programming languages, including Python and BASH. I also have extensive experience with open-source hardware design and Arduino programming, and can help prototype sensor platforms for in situ data collection.

For coding projects, visit my Github page.

Recent Publications / Media / CV

[2016] : Identify animal site fidelity from GPS relocation data using our program rASF. See our recent publication in Methods in Ecology and Evolution.

[2016] : Imperilment in a large urban carnivore as a consequence of recent genetic isolation. Find out more by reading our recent publication in Proceedings of the Royal Society of London B.

[2016] : Are invasiveness and endangerment opposite sides of the same coin? Check out our recent publication where we tested this theory in reptiles globally.

For my Curriculum Vitae

Current Projects

NASA ABoVE: Animals on the Move

Post-doctoral Researcher, Prugh Lab, University of Washington

I am very excited to have recently accepted an offer as a research fellow with Dr. Laura Prugh at the University of Washington where we will be studying the impacts of climate change on large carnivore movements in artic and boreal ecosystems. I am truly honored to be a part of such a prestigious team of researchers with ABoVE.

Future Projects

Occupancy of Predators in the Eastern Ghats, India

Andhra Pradesh and Telangana, India

Project Collaborator (and photo credit):
Murthy Kantimahanti
Eastern Ghats Wildlife Society

Past Projects

Multiple Predators in a Mule Deer System

Monroe Mountain, Fishlake National Forest, Utah

Videos from the Monroe Mountain Predator Project

Contact Information

Peter Mahoney, Ph.D.
Postdoctoral Researcher
NASA ABoVE Animals on the Move
School of Environmental and Forest Sciences
University of Washington, Seattle, WA 98195


Locations of past projects