The cost of complexity in forecasts of population abundances is reduced but not eliminated by borrowing information across space using a hierarchical approach

Oikos3.40
Volume: 129, Issue: 2, Pages: 249 - 260
Published: Dec 10, 2019
Abstract
Anticipating ecological changes is paramount if we are to manage biodiversity and the services they provide to humanity. When forecasting population abundances, studies have shown that simple statistical models often have better forecast performance than complex models. These studies have evaluated forecasts of models fitted separately to data from single sites (single‐site approach). Here, we aim to contrast the forecast performance and...
Paper Details
Title
The cost of complexity in forecasts of population abundances is reduced but not eliminated by borrowing information across space using a hierarchical approach
Published Date
Dec 10, 2019
Journal
Volume
129
Issue
2
Pages
249 - 260
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