Assessing Habitat Connectivity

Machine Learning can analyze landscape connectivity, identifying critical wildlife corridors that facilitate species movement and genetic exchange. This insight is essential for creating and managing protected areas in a way that supports biodiversity conservation over the long term.

Machine Learning can analyze landscape connectivity, identifying critical wildlife corridors that facilitate species movement and genetic exchange. This insight is essential for creating and managing protected areas in a way that supports biodiversity conservation over the long term.

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