<i>TreeMig</i> framework ver. 1.0: an R package with GUI to simulate spatio‐temporal forest dynamics

Spatio‐temporal vegetation models are essential for simulating dynamics and shifts in species distributions over large areas, particularly under global change. One such model is the dynamic forest landscape model TreeMig . We have developed a framework that makes the model more user‐friendly, improves its functionality, and expands its possibilities. The framework consists of the improved TreeMig model, the R package ‘TreeMig‐R' for pre‐processing input data, model execution and visualization, a graphical user interface (GUI) for ease of use, and a set of sample input data. A suite of increasingly complex applications demonstrates its potential, including simulations of spatial forest dynamics under climate change in a highly fragmented landscape, the additional introduction and spread of an invasive tree species, and the coupling with an external model for the control of the invasive species.

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Publication Details

Journal
Ecography
Published
2026-06-16
DOI
https://doi.org/10.1002/ecog.08172
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
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article

TreeMig framework ver. 1.0: an R package with GUI to simulate spatio‐temporal forest dynamics

Daniel Scherrer, Thomas J. Löffler, Dirk R. Schmatz, Heike Lischke et al.
Ecography
Species Distribution and Climate Change
article

TreeMig framework ver. 1.0: an R package with GUI to simulate spatio‐temporal forest dynamics

Daniel Scherrer, Thomas J. Löffler, Dirk R. Schmatz, Heike Lischke, Achilleas Psomas, Alain Joss, David Böhm
article en

Abstract

Spatio‐temporal vegetation models are essential for simulating dynamics and shifts in species distributions over large areas, particularly under global change. One such model is the dynamic forest landscape model TreeMig . We have developed a framework that makes the model more user‐friendly, improves its functionality, and expands its possibilities. The framework consists of the improved TreeMig model, the R package ‘TreeMig‐R' for pre‐processing input data, model execution and visualization, a graphical user interface (GUI) for ease of use, and a set of sample input data. A suite of increasingly complex applications demonstrates its potential, including simulations of spatial forest dynamics under climate change in a highly fragmented landscape, the additional introduction and spread of an invasive tree species, and the coupling with an external model for the control of the invasive species.

Ecography
Swiss Federal Institute for Forest, Snow and Landscape Research (CH)
Climate action
Openalex Percentile: Top 6%
Species Distribution and Climate Change
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