Bridging implementation gaps to connect large ecological datasets and complex models.

ABSTRACT: Merging robust statistical methods with complex simulation models is a frontier for improving ecological inference and forecasting. However, bringing these tools together is not always straightforward. Matching data with model output, determining starting conditions, and addressing high dimensionality are some of the complexities that arise when attempting to incorporate ecological field data with mechanistic models directly using sophisticated statistical methods. To illustrate these complexities and pragmatic paths forward, we present an analysis using tree-ring basal area reconstructions in Denali National Park (DNPP) to constrain successional trajectories of two spruce species (Picea mariana and Picea glauca) simulated by a forest gap model, University of Virginia Forest

SUBMITTER: Raiho AM 

PROVIDER: S-EPMC8717344 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature