为探究城市快速扩张及碳排放加剧所引发的城市环境问题,并厘清“三生空间”(生产-生活-生态空间)分布与城市韧性之间的关系,本研究基于“三生空间”视角,构建顾及碳排放、兴趣点(point of interest,POI)数据及夜间灯光数据的“三生空间...为探究城市快速扩张及碳排放加剧所引发的城市环境问题,并厘清“三生空间”(生产-生活-生态空间)分布与城市韧性之间的关系,本研究基于“三生空间”视角,构建顾及碳排放、兴趣点(point of interest,POI)数据及夜间灯光数据的“三生空间”及城市韧性评价体系,依据空间耦合协调度及城市韧性测度进一步评估空间格局合理性及城市风险承受力。结果表明:(1)2010—2022年,辽东半岛的生产空间高值面积增加了1228 km^(2),生态空间减少了222 km^(2),生活空间增加了449 km^(2)。(2)2010—2022年,城市韧性整体呈先上升后下降的趋势,生产韧性降幅为29.4%,生活韧性降幅为10.29%,生态韧性的降幅为14.16%。生产韧性对总体城市韧性的影响较大,生态韧性对城市总体韧性的作用次于生活韧性。(3)辽东半岛耦合协调度水平大多数区域以高度正相关为主,整体呈现空间聚集状态。城市韧性中生态韧性的聚集度高于生产韧性和生活韧性。因此,辽东半岛“三生空间”分布差异较大,生态空间逐步减少,生产空间快速扩张,辽东半岛应提高生态环境保护力度,完善并平衡“三生空间”格局。展开更多
Spatial transcriptomics technology provides novel insights into the spatial organization of gene expression during embryonic development.In this study,we propose a method that integrates analysis across both temporal ...Spatial transcriptomics technology provides novel insights into the spatial organization of gene expression during embryonic development.In this study,we propose a method that integrates analysis across both temporal and spatial dimensions to investigate spatial transcriptomics data from mouse embryos at different developmental stages.We quantified the spatial expression pattern of each gene at various stages by calculating its Moran’s I.Furthermore,by employing time-series clustering to identify dynamic co-expression modules,we identified several developmentally stage-specific regulatory gene modules.A key finding was the presence of distinct,stage-specific gene network modules across different developmental periods:Early modules focused on morphogenesis,mid-stage on organ development,and late-stage on neural and tissue maturation.Functional enrichment analysis further confirmed the core biological functions of each module.The dynamic,spatially-resolved gene expression model constructed in this study not only provides new biological insights into the programmed spatiotemporal reorganization of gene regulatory networks during embryonic development but also presents an effective approach for analyzing complex spatiotemporal omics data.This work provides a new perspective for understanding developmental biology,regenerative medicine,and related fields.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.12090052,U24A2014,and 12325405).
文摘Spatial transcriptomics technology provides novel insights into the spatial organization of gene expression during embryonic development.In this study,we propose a method that integrates analysis across both temporal and spatial dimensions to investigate spatial transcriptomics data from mouse embryos at different developmental stages.We quantified the spatial expression pattern of each gene at various stages by calculating its Moran’s I.Furthermore,by employing time-series clustering to identify dynamic co-expression modules,we identified several developmentally stage-specific regulatory gene modules.A key finding was the presence of distinct,stage-specific gene network modules across different developmental periods:Early modules focused on morphogenesis,mid-stage on organ development,and late-stage on neural and tissue maturation.Functional enrichment analysis further confirmed the core biological functions of each module.The dynamic,spatially-resolved gene expression model constructed in this study not only provides new biological insights into the programmed spatiotemporal reorganization of gene regulatory networks during embryonic development but also presents an effective approach for analyzing complex spatiotemporal omics data.This work provides a new perspective for understanding developmental biology,regenerative medicine,and related fields.
