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Effect of artificial forest landscape pattern on multi-biodiversity in hilly area of Loess Plateau
Long Li1, Xingyan Jian2, Zixin Wang2
1Changchun Kuancheng District Government Affairs Management Service Center, Changchun, 130051, China.
Abstract:
Rapid expansion of plantation forests for ecological restoration has fundamentally altered landscape patterns worldwide, creating unprecedented challenges for maintaining biodiversity and ecosystem functions in human-modified landscapes. While landscape patterns significantly influence biodiversity and ecosystem functions, the scale-dependent mechanisms through which these patterns affect multi-taxon biodiversity and ecosystem functions in plantation forests remain insufficiently understood. This study investigates how landscape pattern characteristics influence multi-taxon biodiversity and ecosystem functions across spatial scales in plantation forests of the Loess Plateau hilly region. We selected 20 sampling sites across four habitat types and employed multi-scale analysis (100-1000m) to examine relationships between landscape patterns (fragmentation, heterogeneity, complexity), biodiversity (plants, butterflies, carabids), and ecosystem functions (biomass, pollination, resource utilization). Our results indicate a significant scale dependency in how different biological groups respond to landscape patterns: plant diversity is primarily influenced by land use at a small scale (200 m), butterflies are more sensitive to changes in landscape structure at small scales (200 m), and carabids exhibit cross-scale responses. Landscape heterogeneity and complexity greatly enhance ecosystem functions by providing diverse niches and resources. Furthermore, biodiversity exerts a notably positive effect on vegetation productivity, whereas landscape fragmentation does not significantly affect biodiversity or ecosystem functions. This study reveals novel scale-dependent mechanisms governing biodiversity-landscape relationships, demonstrating that optimal management scales vary significantly among taxa (plants: 200m, butterflies: 200m, carabids: cross-scale responses). Our findings advance landscape ecology theory by quantifying how landscape heterogeneity and complexity drive ecosystem multifunctionality through distinct pathways, while challenging conventional assumptions about fragmentation effects. These scale-specific insights provide a scientific foundation for implementing targeted landscape management strategies that optimize biodiversity conservation and ecosystem service provision across multiple spatial scales in restoration programs.
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