Makurhini

Makurhini calculates key fragmentation and connectivity metrics to support conservation planning and the restoration of connectivity in fragmented landscapes.

Key Features:

• Fragmentation metrics: Computes metrics that quantify landscape fragmentation patterns.
• Link characterization: Characterizes links using Euclidean, least-cost, and circuit theory approaches.
• Connectivity evaluation: Evaluates connectivity with indices including Probability of Connectivity (PC) and Equivalent Connected Area.
• Patch and link ranking: Ranks patches and links by their contribution to connectivity.
• Parallel processing: Efficiently processes large datasets with parallel processing.

Scientific Applications:

• Conservation planning: Provides a data-driven framework to prioritize efficient connectivity measures given limited conservation funds and land-use conflicts.
• Species movement analysis: Supports maintaining landscape connectivity for species movement and access to resources under habitat loss, fragmentation, and climate change.
• Multi-region applicability: Demonstrated in case studies across diverse landscapes in Mexico, Colombia, and Spain.

Methodology:

Makurhini systematically calculates fragmentation and connectivity metrics using Euclidean, least-cost, and circuit theory approaches, with parallel processing for large datasets.