输变电工程对区域生物多样性生态风险的多尺度评价

Multi-scale assessment of ecological risks to regional biodiversity from power transmission projects

  • 摘要: 输变电工程通过生境破坏、电磁干扰及景观破碎化对生物多样性构成多维度威胁.本研究构建输变电工程对区域生物多样性生态风险的多尺度评价框架,整合遗传、物种、生态系统与景观层级指标,并引入加权风险叠加模型量化非线性生态反馈机制.以宝鸡-汉中750 kV输变电工程为案例,结果显示生态风险强度呈现显著北高南低空间分异.高风险区域集中分布于北部秦岭区域,景观破碎化指数超过0.7,最大斑块指数降至0.28,显著低于维持动物迁移廊道稳定的阈值.区域森林碳储量优势因凋落物分解速率降低19%及碳氮循环失衡而削弱.边缘密度上升至186 m·hm−2,香农多样性指数达2.8,加速边缘种入侵与核心种衰退,有效种群规模萎缩极易触发遗传多样性崩溃阈值.基于上述结果,本研究提出分区化风险管理与“预防-缓解-补偿”策略建议,为输变电工程绿色规划与生物多样性保护融合提供了可复制的技术路径和决策依据.

     

    Abstract: Power transmission and transformation projects pose multi-dimensional threats to biodiversity through habitat destruction, electromagnetic interference, and landscape fragmentation. This study constructs a multi-scale ecological risk assessment framework for regional biodiversity by integrating indicators across genetic, species, ecosystem, and landscape levels. A weighted risk superposition model is introduced to quantify nonlinear ecological feedback mechanisms. Using the Baoji-Hanzhong 750 kV transmission project as a case study, the results reveal a clear spatial differentiation in ecological risk intensity, with higher risk levels concentrated in the northern Qinling region. In this area, the landscape fragmentation index exceeds 0.7, while the largest patch index declines to 0.28, significantly below the threshold required to sustain stable wildlife migration corridors. Forest carbon storage capacity is weakened, evidenced by a 19% reduction in litter decomposition rates and disruptions to carbon-nitrogen cycling. An edge density of 186 meters per hectare and a Shannon diversity index of 2.8 facilitte the proliferation of edge species and decline of core species. Simultaneously, a reduction in effective population size signals the crossing of genetic diversity collapse thresholds. Based on these findings, this study proposes a zoned risk management strategy based on a "prevention-mitigation-compensation" framework. This findings offer replicable technical pathways and inform integrating planning for green energy infrastructure and biodiversity conservation.

     

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