Spatial Uncertainty and Ecological Models

摘要: Applied ecological models that are used to understand and manage natural systems often rely on spatial data as input. Spatial uncertainty in these can propagate into model predictions. Uncertainty analysis, sensitivity error budget decision hypothesis testing using neutral all techniques designed explore the relationship between variation inputs Although similar methods be answer them, approaches address different questions. These differ (a) whether focus is forward or backward (forward evaluate magnitude of predictions propagated rank input parameters by their influence); (b) question involves robustness large variations pattern small deviations from a reference map; (c) processes generate (for example, cartographic error) interest. In this commentary, we propose taxonomy approaches, which clarify models. We describe existing indicate few areas where research needed.