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基于BCBS模型的生态节点布局优化

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以生态脆弱区典型县域磴口县为研究区,基于2015年遥感影像解译数据,构建MCR-P模型提取县域尺度生态源地、廊道和节点,将Voronoi图模型引入到生态节点布局研究中,构建泰森盲区形心优化模型(BCBS模型),进行生态节点布局优化.结果表明,磴口县共能提取出391块生态源地节点和667个潜在生态节点,其中需优化节点182个.优化后生态节点的覆盖率达到87.79%,较现状生态节点覆盖率提升了22.56%.节点分布均匀性降低至0.397 8,节点空间分布更加均匀.优化后节点构成的泰森多边形盲区的面积减小了48 446 hm2,且节点覆盖圆空间结构连片化,优化后生态网络结构更为稳定.
Layout Optimization of Ecological Nodes Based on BCBS Model
In the arid and semi-arid region in Northwest China,the pattern of ecological land use is an important guarantee to maintain the regional ecological environment security and stability.Ecological network construction is of great significance.Accordingly,based on the typical ecologically vulnerable area-Dengkou county,remote sensing image interpretation data in 2015 is used as research material.The MCR-P model is constructed,and then the ecological sources,corridors and nodes in county scale are extracted.The Voronoi graph model is introduced into the study of layout of ecological nodes.Blind-zone centroid-based scheme model is constructed and ecological node layout is optimized.The results show that totally 391 ecological source nodes and 667 potential ecological nodes are extracted in Dengkou county.The number of nodes that need to be optimized are 182.After optimization,the coverage rate (CR) of ecological nodes is 87.79%,which is increased by 22.56% compared with the current ecological node coverage rate.The node distribution uniformity (U) is reduced to 0.397 8,and the node space distribution is more uniform.After optimization,the covering area of ecological node is 187 003 hm2,and the area of blind area of Tyson polygon is reduced to 117 927 hm2,which is reduced by 48 446 hm2.The structure and node coverage circle space tend to be contiguous,ecological network structure optimization is more stable.The BCBS model constructed by this research can improve the coverage rate of ecological nodes,which is a convenient and efficient method for the layout of regional ecological nodes.This study can provide a scientific basis for construction and management of current and future ecological security pattern.

ecological nodeecologically vulnerable areaMCR-P modelBCBS model

于强、岳德鹏、Yang Di、马欢、张启斌、尹波

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北京林业大学精准林业北京市重点实验室,北京100083

佛罗里达大学地理系,盖恩斯维尔32611

生态节点 生态脆弱区 MCR-P模型 BCBS模型

国家自然科学基金“十二五”国家科技支撑计划项目

413711892012BAD16B00

2016

农业机械学报
中国农业机械学会 中国农业机械化科学研究院

农业机械学报

CSTPCDCSCD北大核心EI
影响因子:1.904
ISSN:1000-1298
年,卷(期):2016.47(12)
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