Home▸AI & Machine Learning▸Forest Restoration: 2D Succession Model

🌱 Forest Restoration: 2D Succession Model

A cellular forest grid where bare soil sprouts seedlings, saplings and mature canopy under rainfall and assisted planting — while dryness and lightning can burn it back down. Tune the balance between recovery and disturbance.

AI & Machine Learning2DModerate24 FPS📱 Mobile-adapted⇄ 3D version
2d-forest-restoration ↗ Open standalone

This 2D companion swaps the 3D original's reinforcement-learning dashboard for the ecological mechanic its title actually implies: a grid of cells that germinate, grow through seedling and sapling stages into mature canopy, and can be pushed back to bare ground by drought-driven wildfire. Rainfall sets germination and growth odds, the planting slider adds assisted restoration effort, and wildfire risk controls how often lightning ignites a mature tree and how far it spreads through dry canopy.

⚙ Under the hood

A cellular-automaton succession model (bare → seedling → sapling → mature → burning → burnt) where each cell's transition probability depends on rainfall, neighboring canopy density and a user-set fire-ignition rate; canopy cover, biomass and carbon-storage readouts update live each tick.

forest successioncellular automatonecosystem recoverywildfirecarbon sequestration

2D · HTML5 Canvas 2D · 24 FPS target · runs fully client-side, no install

What did you find?

Add reproduction steps (optional)