The dependence of forecasts on sampling frequency as a guide to optimizing monitoring in community ecology
Uriah Daugaard,
Stefanie Merkli,
Ewa Merz
et al.
Abstract:Facing climate change and biodiversity loss, it is critical that ecology advances so that processes, such as species interactions and dynamics, can be correctly estimated and skillfully forecasted. As different processes occur on different time scales, the sampling frequency used to record them should intuitively match these scales. Yet, the effect of data sampling frequency on ecological forecasting accuracy is understudied. Using a simple simulated dataset as a baseline and a more complex high‐frequency plan… Show more
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