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🦌 Quantitative Conservation Biology: Modeling Population Viability and Reserve Design

A 3D reserve-design lab: watch a wildlife population grow logistically toward a habitat's carrying capacity, and see how reserve size, fragmentation and corridors change extinction risk.

Animals & Their World3DAdvanced60 FPS

A live 3D reserve where a wildlife population grows toward its habitat's carrying capacity under the logistic growth model, while reserve size, fragmentation and corridors change how close it drifts to extinction.

🔬 What It Demonstrates

Carrying capacity K scales with protected area; population size follows dN/dt = rN(1−N/K) with added environmental noise. Splitting one reserve into isolated fragments cuts effective K, while a corridor between fragments largely restores it.

🎮 How to Use

Adjust reserve radius, growth rate and environmental stochasticity, and switch between a single reserve, two isolated fragments, or fragments joined by a corridor. Watch the population count, carrying capacity and minimum-viable-population status update each simulated year.

💡 Did You Know?

The "Single Large Or Several Small" (SLOSS) debate has shaped reserve design since the 1970s — and habitat corridors, first proposed to counter fragmentation, remain one of the cheapest ways to raise a landscape's effective carrying capacity.

⚙ Under the hood

A 3D reserve-design lab: watch a wildlife population grow logistically toward a habitat's carrying capacity, and see how reserve size, fragmentation and corridors change extinction risk.

population-modelingconservation-biologyreserve-designextinction-riskhabitat-managementbiodiversityThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install