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首页> 外文期刊>The Science of the Total Environment >Spatial influence of ecological networks on land use intensity
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Spatial influence of ecological networks on land use intensity

机译：生态网络对土地利用强度的空间影响

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Rapid urbanization resulted in widespread urban expansion and the fragmentation and isolation of large-scale ecological sources. Ecological sustainability has propelled the popularity and implementation of intensive land use programs worldwide, in China particularly. In this study, we explored the spatial spillover effect through ecological networks on intensive urban land use and the underlying driving mechanism using the Wuhan urban agglomeration as the case study area. First, we comprehensively measured land use intensity (LUI) from three dimensions: input, output, and landscape aggregation. Second, ecological sources were identified on the basis of land use maps, and ecological networks were constructed using the "minimum cumulative resistance" model. Then, the "gravity model" was applied to measure the spatial interaction among ecological sources and to construct spatial weight matrices for spatial modeling. Lastly, we devised a spatial Durbin model using the designed "ecological" spatial weight matrices to examine the influencing factors and the potential spatial interactions or constraints. The results showed that the average values of LUI in 2017 were almost 70 times higher than that in 2005 and the Jianghan District had the highest increment (91 times) from 2005 to 2017. LUI was primarily driven by socioeconomic development. Gross domestic product and proportion of tertiary sector exerted positive influences, whereas agricultural output value exhibited a negative effect on LUI in 2005 and 2017. A positive spatial autocorrelation of LUI was observed at the county level, and the spatial spillover effect was confirmed through ecological networks during intensive land use, indicating that ecological spatial influence is an important factor in explaining LUI. The findings help in exploring the spatial influence through ecological networks on LUI at the regional level and provide references for formulating relevant policies to achieve the ecological security of terrestrial ecosystems and coordinated and balanced regional sustainable development.
机译：快速的城市化导致广泛的城市扩张以及大规模生态资源的破碎和隔离。生态可持续性推动了集约化土地利用计划在全球尤其是中国的普及和实施。在这项研究中，我们以武汉城市群为案例研究了生态网络对城市集约利用的空间溢出效应及其潜在驱动机制。首先，我们从投入，产出和景观聚集三个维度全面测量了土地利用强度（LUI）。其次，根据土地利用图确定生态源，并使用“最小累积阻力”模型构建生态网络。然后，使用“重力模型”来测量生态源之间的空间相互作用，并构建用于空间建模的空间权重矩阵。最后，我们使用设计的“生态”空间权重矩阵设计了空间Durbin模型，以检查影响因素以及潜在的空间相互作用或约束。结果表明，2017年LUI的平均值比2005年高出近70倍，而江汉区从2005年到2017年的增幅最高（91倍）。LUI主要由社会经济发展驱动。国内生产总值和第三产业比重产生了积极影响，而农业总产值在2005年和2017年对LUI产生了负面影响。在县一级，LUI的空间自相关呈正相关，并且通过生态网络证实了空间溢出效应在土地集约利用过程中，表明生态空间影响是解释LUI的重要因素。这些发现有助于探索通过生态网络在区域一级对LUI的空间影响，并为制定相关政策以实现陆地生态系统的生态安全以及协调和平衡的区域可持续发展提供参考。

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