Predicting species abundances in a grassland biodiversity experiment: Trade‐offs between model complexity and generality
Abstract
Models of natural processes necessarily sacrifice some realism for the sake of tractability. Detailed, parameter-rich models often provide accurate estimates of system behaviour but can be data-hungry and difficult to operationalize. Moreover, complexity increases the danger of ‘over-fitting’, which leads to poor performance when models are applied to novel conditions. This challenge is typically described in terms of a trade-off between bias...
Paper Details
Title
Predicting species abundances in a grassland biodiversity experiment: Trade‐offs between model complexity and generality
Published Date
Nov 19, 2019
Journal
Volume
108
Issue
2
Pages
774 - 787
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