Ameriacan beech SDM DATA

Project: Anticipating Shifts in American Beech Distribution in a Changing Climate

Authors: Erşan Selvi, Liu Desheng, Pierluigi (Enrico) Bonello

Description:

This dataset supports a study on species distribution modeling (SDM) of American Beech (Fagus grandifolia) to anticipate its distribution shifts under climate change scenarios. The data includes a stratified random sampling of presence points based on the USFS basal area grid, variance inflation factor (VIF) analysis, environmental data, species occurrence points, random forest variable importance analysis, correlation analysis, ensemble forecasting across various current and future climate scenarios (SSP1, SSP2, SSP3), and projections of future habitat suitability. The dataset is used in both current-only and future scenario modeling, covering SSP1, SSP2, and SSP3 climate scenarios for 2011–2040, 2041–2070, and 2071–2100. It also includes model evaluation metrics, range size comparisons, and ensemble modeling outputs.

Additionally, Multivariate Environmental Similarity Surface (MESS) analyses are conducted to assess the similarity between current environmental conditions and future climate projections. MESS results for SSP1, SSP2, and SSP3 scenarios are included in the dataset for all three periods (2011–2040, 2041–2070, 2071–2100), providing insight into areas where environmental conditions deviate from the present climate envelope.

Data Types:

Species occurrence points (CSV)

Environmental raster files (.tif)

MESS analysis outputs (.tif)

Model outputs (CSV)

Visualizations (PNG, plots from BIOMOD2)

Code Prepared by: Erşan Selvi

Contact Information: [e-mail]

Keywords: American Beech, Species Distribution Modeling, Climate Change, SSP Scenarios, Random Forest, Ensemble Modeling, Future Projections, MESS Analysis.