College of Resources, Sichuan Agricultural University, Chengdu 611130, China.
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China.
Int J Environ Res Public Health. 2021 Aug 27;18(17):9052. doi: 10.3390/ijerph18179052.
Territorial space classification (TSC) provides the basis for establishing systems of national territory spatial planning (NTSP) and supervising their implementation in China, thus has important theoretical and application significance. Most of the current TSC research is related to land use/land cover classification, ignoring the connection of the NTSP policies and systems, failing to consider the spatiotemporal heterogeneity of land use superior territorial space functions (TSFs) and the dynamic coupling between land use and its superior TSFs on the result of TSC. In this study, we integrated the factors influencing the connection of NTSP policies and systems and established a theoretical framework system of TSC from the perspective of spatial form and functional use. By integrating the q-statistic method with spatiotemporal geographical analysis, we propose a method to construct a TSC system for Qionglai City of Sichuan Province in China based on the spatiotemporal heterogeneity of land use superior TSFs and the dynamic coupling between land use and its superior TSFs. It makes up for the deficiency of directly taking land use/land cover classification as TSC and solves the problems of ignoring the spatiotemporal heterogeneity of land use superior TSFs and the dynamic coupling between land use and its superior TSFs. Using this method, we found that the TSC of Qionglai City consists of 3, 7, and 14 first-, second-, and third-level space types, respectively. The key findings from this study are that land use superior TSFs show spatiotemporal heterogeneity in Qionglai, and coupling effects in spatial distribution were noted between land use types and their superior TSFs, as was temporal heterogeneity in the coupling degree and the structure of the TSFs corresponding to the land use types, which show obvious dynamics and non-stationarity of the functional structure. These findings confirm the necessity of considering the spatiotemporal heterogeneity of land use superior TSFs and the dynamic coupling between land use and its superior TSFs in TSC. This method of establishing a TSC system can be used to address a number of NTSP and management issues, and three examples are provided here: (a) zoning of urban, agricultural, and ecological space; (b) use planning of production, living and ecological space; (c) delimitation of urban development boundary, permanent basic farmland protection redline, and ecological protection redline.
土地用途主导功能的时空分异与土地利用动态耦合关系下的国土空间分类研究
国土空间分类（TSC）为建立国家国土空间规划体系和监督实施提供了基础，因此具有重要的理论和应用意义。当前的 TSC 研究大多与土地利用/土地覆被分类有关，忽略了国土空间规划（NTSP）政策和系统的联系，未能考虑土地利用主导的空间功能（TSF）的时空异质性以及土地利用与其主导 TSF 之间的动态耦合关系对 TSC 的结果的影响。在本研究中，我们综合了影响 NTSP 政策和系统联系的因素，并从空间形态和功能利用的角度，建立了 TSC 的理论框架体系。通过将 q 统计方法与时空地理分析相结合，我们提出了一种基于土地利用主导 TSF 时空异质性和土地利用与其主导 TSF 之间的动态耦合关系，构建四川省邛崃市 TSC 系统的方法。弥补了直接采用土地利用/土地覆被分类作为 TSC 的不足，解决了忽视土地利用主导 TSF 的时空异质性以及土地利用与其主导 TSF 之间的动态耦合关系的问题。利用该方法，我们发现邛崃市的 TSC 由 3、7 和 14 个一级、二级和三级空间类型组成。本研究的主要发现是，土地利用主导 TSF 在邛崃具有时空异质性，并且在土地利用类型及其主导 TSF 之间的空间分布上存在耦合效应，以及与土地利用类型相对应的 TSF 的耦合度和结构的时间异质性，表现出功能结构的明显动态和非平稳性。这些发现证实了在 TSC 中考虑土地利用主导 TSF 的时空异质性以及土地利用与其主导 TSF 之间的动态耦合关系的必要性。该 TSC 系统建立方法可用于解决多项 NTSP 和管理问题，文中提供了三个示例：（a）城市、农业和生态空间的分区；（b）生产、生活和生态空间的用途规划；（c）城市发展边界、永久基本农田保护红线和生态保护红线的划定。
