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生态网络对土地利用强度的空间影响。

Spatial influence of ecological networks on land use intensity.

机构信息

Department of Land Management, Huazhong Agricultural University, Wuhan, 430070, PR China.

Department of Land Management, Huazhong Agricultural University, Wuhan, 430070, PR China; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China.

出版信息

Sci Total Environ. 2020 May 15;717:137151. doi: 10.1016/j.scitotenv.2020.137151. Epub 2020 Feb 5.

Abstract

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.

摘要

快速城市化导致了广泛的城市扩张,以及大规模生态源的破碎化和隔离。生态可持续性推动了集约化土地利用计划在全球范围内的普及和实施,尤其是在中国。在本研究中,我们以武汉城市群为研究区,探讨了生态网络对集约化城市土地利用的空间溢出效应及其潜在的驱动机制。首先,我们从投入、产出和景观聚集三个维度全面测度土地利用强度(LUI)。其次,在土地利用图的基础上识别生态源,并利用“最小累积阻力”模型构建生态网络。然后,应用“重力模型”测度生态源之间的空间相互作用,并构建空间权重矩阵进行空间建模。最后,利用设计的“生态”空间权重矩阵,构建空间 Durbin 模型,检验影响因素以及潜在的空间相互作用或约束。结果表明,2017 年的平均 LUI 值几乎是 2005 年的 70 倍,江汉区是 2005 年至 2017 年增长幅度最大的区(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例对 LUI 具有正向影响,而农业产值对 2005 年和 2017 年的 LUI 表现出负向影响。县级土地利用强度存在正向空间自相关,且通过生态网络证实了集约化土地利用的空间溢出效应,表明生态空间影响是解释 LUI 的一个重要因素。研究结果有助于探索区域层面生态网络对土地利用强度的空间影响,为制定相关政策以实现陆地生态系统的生态安全和区域协调均衡发展提供参考。

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