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Mizoram's forest map pinpoints fragmentation exposure, not restoration success

A 2005–2025 susceptibility analysis points managers toward road-accessible and agricultural-edge forests for field checks.

Evidence
Peer-reviewed
Geography
Mizoram state, northeastern India
System
Forest fragmentation, spatial risk screening and planning

WHAT THE EVIDENCE SAYS

Using classified forest patches from 2005 and 2025 and a weights-of-evidence model, researchers found an increase in mapped patch forest and estimated that 41.06% of Mizoram fell into moderate-to-very-high fragmentation susceptibility classes. Proximity to developed land, farming, roads and streams helped explain the modeled susceptibility; model AUC was 0.831.

WHY IT MATTERS / OUR READ

Use the susceptibility map to prioritize field validation of remaining large forest cores, edge pressure, road-related access and potential corridors. Track observed conversion and habitat quality in candidate priority areas before committing to prescriptions.

CAVEATS / UNCERTAINTY

Susceptibility is not an observed prediction of future deforestation or restoration effectiveness. The model assumes future processes resemble 2005–2025 change, and AUC measures discrimination rather than site-specific management outcomes.

SOURCE

Discover Forests — 30 Oct 2026
View original evidence ↗