Data from: Integrated population models: bias and inference

Thomas V. Riecke, Perry J. Williams, Tessa L. Behnke, Daniel Gibson, Alan G. Leach, Benjamin S. Sedinger, Phillip A. Street & James S. Sedinger
Integrated population models (hereafter, IPMs) have become increasingly popular for the modeling of populations, as investigators seek to combine survey and demographic data to understand processes governing population dynamics. These models are particularly useful for identifying and exploring knowledge gaps within datasets, because they allow investigators to estimate biologically meaningful parameters, such as immigration and reproduction, that are uninformed by data. As IPMs have been developed relatively recently, model behavior remains relatively poorly understood. Much...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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