Ecospatial network of forest carbon stocks in three parallel rivers region based on complex network theory

This study employed a downscaling method to estimate forest carbon stocks in the region, combining morphological spatial pattern analysis (MSPA) and the minimum cumulative resistance (MCR) model to construct an ecological spatial network. Based on complex network theory, a coupled coordination analysis was conducted using the topology and carbon stocks of the network nodes to optimize the ecological network and analyzed the forest ecological network at a multiscale scale. The results revealed significant spatial heterogeneity in carbon sequestration, with higher concentrations predominantly located in the central and western regions of the Three Rivers area at elevated altitudes. The initial ecological network comprised 20 nodes and 47 corridors, revealing ecosystem interactions. Coupling coordination analysis identified 6 suboptimal nodes, prompting edge optimization that added 43 corridors and enhanced network stability. Multiscale analysis showed 3 overlapping ecological source areas across scales and 6 key corridors. Network metrics (closure, connectivity, complexity) decreased with increasing spatial scale, performing best at smaller scales. The optimized network demonstrated improved structural stability and connectivity while maintaining carbon sequestration functions. This integrated approach combining complex network theory with ecological analysis provides a scientific framework for sustainable forest management and regional carbon capture strategies. The methodology supports targeted ecological restoration by identifying priority conservation areas and connectivity pathways, offering practical insights for balancing ecosystem preservation with climate goals in ecologically fragile mountainous regions. Downscaled spatial distribution of forest carbon stocks in the Three Parallel Rivers region. Build eco-spatial networks using MSPA and MCR to optimize forest carbon management. Use complex network theory to analyze ecological networks and identify key carbon nodes. Multi-scale ecological network interaction enhances forest carbon sequestration capacity.