Distance Sampling

Distance sampling is a frequently used method for estimating species abundance using point counts and line transects while accounting for imperfect detection. This method is based on the simple premise that animals on or near the sampling point/line transect are more likely to be detected than animals further away. This method can be implemented on unmarked animals during a single site visit, which can be appealing compared to other approaches that require marked animals or multiple site visits (i.e., temporal replicates). Users can, however, incorporate marked animals and/or collect data with temporal replication to address questions about availability, seasonal change, and annual trends. Distance sampling can be implemented on the ground (e.g., foot, vehicle), by air (e.g., airplane, helicopter), and by water (e.g., ship, raft), and therefore useful in terrestrial, aquatic, and marine ecosystems. This course will provide a foundation in distance sampling with numerous examples of their use. Students will gain practical experience in distance sampling, including study design, data collection, data management, and analytical techniques. Analyses will be conducted in R using the unmarked package. Students will be able to implement these models, interpret their output, and summarize the results.

Experience with the basics of probability, statistical methods, and using R to fit statistical models. The CWS course, R Bootcamp, provides a good background for this course. This course will follow data management and analytical practices used in R Bootcamp for consistency.

Module 1

• Identifying research questions and wildlife monitoring priorities

• Unbiased sampling design practices

• Why does detection probability matter?

• Exercises on wildlife monitoring and sampling design

Module 2

• Overview of methods for estimating species abundance and distribution

• Introduction to distance sampling and examples

• Distance sampling field data collection and equipment needs

• Exercises exploring methods for estimating species abundance and distribution, including distance sampling

Module 3

• Data management: converting field data to data ready for analysis

• Introduction to the unmarked package in R for distance sampling

• Exercises to conduct exploratory analysis of distance sampling data in R

Module 4

• Distance sampling for solitary species using point counts

• Implementation of point count distance sampling modeling in R

• Exercises with solutions on point count distance sampling methods

Module 5

• Distance sampling for solitary species using line transects

• Implementation of line transect distance sampling modeling in R

• Exercises with solutions on line transect distance sampling methods

Module 6

• Distance sampling for social species using line transect methods

• Implementation of distance sampling for social species in R

• Exercises with solutions on distance sampling methods for social species

Module 7

• Introduction to advanced distance sampling models

• Temporal replicates to account for availability

• Seasonal and multi-year data

• Bayesian approaches to distance sampling

LEARNING OUTCOMES

• Value unbiased population abundance techniques that account for detection probability.

• Knowledge of sampling design practices for estimating abundance.

• Understand the concept and theory behind distance sampling.

• Ability to implement distance sampling for solitary and social species.

• Ability to include covariates on abundance and detection probability parameters to test hypotheses in distance sampling.

• Understand how to compare multiple models, assess model fit, and interpret results.

• Have a working knowledge of R packages used for distance sampling.

FORMAT:

• 3 months of access to course materials as you work at your own pace 

CONTINUING EDUCATION:

• 16 CEUs with The Wildlife Society

• 4 CEUs in Category I(a): Scientific Education and Training with the Ecological Society of America

• Go to our Continuing Education Page for more details

DATES & PRICES:

• Winter: Dec 2 - Feb 23 (Early bird ends Nov 4th): $275 student / $375 professional

*Early bird saves $75

FORMAT:

• 3 months of access to course materials as you work at your own pace 

• Get instructor support for the 3-month term via email, discussion threads, group meetings, and one-on-one appointments

• After working through the course materials, set up an optional meeting with the instructor to discuss your own personal project from work or school

CONTINUING EDUCATION:

• 16 CEUs with The Wildlife Society

• Go to our Continuing Education Page for more details

CERTIFICATIONS:

• Earn 1 credit toward certification as an Associate/Certified Wildlife Biologist® (at any level) with The Wildlife Society

DATES & PRICES:

• Winter: Dec 2 - Feb 23 (Early bird ends Nov 4th): $425 student / $525 professional

*Early bird saves $75

FORMAT:

• 12 months of access to course materials as you work at your own pace 

• Get instructor support for the 3-month term via email, discussion threads, group meetings, and one-on-one appointments

• After working through the course materials, set up an optional meeting with the instructor to discuss your own personal project from work or school

CONTINUING EDUCATION:

• 16 CEUs with The Wildlife Society

• Go to our Continuing Education Page for more details

CERTIFICATIONS:

• Earn 1 credit toward certification as an Associate/Certified Wildlife Biologist® (at any level) with The Wildlife Society

• Earn 1 credit towards a professional certificate in Applied Quantitative Ecology with CWS

• Earn an additional 1-2 academic credits with an Applied Project

• Go to our Academic Credit Page for details

DATES & PRICES:

• Winter: Dec 2 - Feb 23 (Early bird ends Nov 4th): $575 professional / $675 student

*Early bird saves $75