Understanding species presence and absence is essential in ecology, influencing areas such as species distribution, habitat modelling, monitoring, and metapopulation studies. However, imperfect detection can result in false absences, leading to misleading conclusions about species occurrence and the factors influencing it.
This 4.5-day introductory course covers methods to address imperfect detection using species detection/non-detection data, with guidance on study design. Participants will complete exercises using Program PRESENCE and R.
While designed for beginners, more experienced users will also benefit. Familiarity with regression models is recommended but not required.