LANDIS PRO simulation: Effects of landscape fragmentation and life history traits on tree species migration

This dataset was developed to simulate the migration dynamics of temperate tree species into boreal forest landscapes under varying levels of habitat fragmentation. The primary goal is to quantify how life history traits interact with landscape fragmentation to influence species’ migration rates and leading-edge shifts. The dataset includes parameterization files, simulation inputs, and model outputs derived from factorial experiments involving six temperate species and one pseudo-species under four fragmentation scenarios (no, low, medium, and high fragmentation). Each scenario simulates 100 years of forest dynamics, providing a comprehensive framework to evaluate how ecological traits and spatial configuration jointly determine migration potential under climate-driven range shifts. Parameterization FileThis file contains detailed species-level and environmental parameters used for model initialization. It includes life history traits (seed dispersal radius, maturity age, lifespan, shade tolerance), initial stand density, and species abundance maps. It also provides landscape-level descriptors such as fragmentation intensity (no, low, medium, high) and environmental suitability layers derived from climatic gradients. These parameters define the biological and spatial context for each simulation.Data Description Model Program File (LANDIS PRO)This executable or configuration file defines the core simulation framework used to model forest succession, competition, and migration over 100 years (2000–2100). It controls spatial and temporal resolution, disturbance regimes, and dispersal mechanisms. The model integrates life history traits and landscape configuration to project future forest composition and range expansion of each species. Analysis Code FileThis file contains scripts used to process and analyze simulation outputs. Analyses include calculating front migration rates, leading-edge shifts, colonization probabilities, and statistical modeling (e.g., linear mixed models) to assess the effects of fragmentation and life history traits. The code also includes visualization routines for spatial pattern outputs and temporal dynamics. Result FileThe result file stores outputs from all factorial experiments, including species abundance maps, front positions, and summary statistics across simulation replicates. Results are organized by species, fragmentation level, and replicate number. These data are used to compare migration responses across different ecological and landscape scenarios, isolating the effects of life history traits and fragmentation.