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Keyword: integrated population models

Costs and benefits of multiple data sources in monitoring programs

Science Spotlights Posted on: September 04, 2019
Model development combining multiple data sources to leverage data source strengths and for improved parameter precision has increased, but with limited discussion on precision gain versus effort. Some data sources take more effort than others, thus knowing how much improvement is gained with these monitoring metrics is important for allocating samples on the landscape. Our framework allows research and monitoring programs to evaluate optimal use of limited funds when multiple data sources are available within the study design phase to meet study objectives.

Precision gain versus effort with joint models using detection/non‐detection and banding data

Publications Posted on: May 30, 2019
Capture-recapture techniques provide valuable information, but are often more cost-prohibitive at large spatial and temporal scales than less‐intensive sampling techniques. Model development combining multiple data sources to leverage data source strengths and for improved parameter precision has increased, but with limited discussion on precision gain versus effort.