中国哈尔滨市土地利用多功能及其相互关系的空间识别与评价改善国土空间分区管理

Land Pub Date : 2024-07-19 DOI:10.3390/land13071092
Yafang Zhao, Jiafu Liu, Jie Zhang, Xiaonan Zhang, Hongbo Li, Fengjie Gao, Yucheng Zhan
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引用次数: 0

摘要

对土地利用多功能性进行定量评估和权衡/协同分析,可有效识别区域冲突和主导功能,为促进社会经济和土地利用的可持续发展提供决策支持。然而,由于研究规模较小、准确数据有限,目前该领域的研究仍面临挑战。本研究以哈尔滨市为例,采用改进的突变水平法、皮尔逊相关分析法和多尺度地理加权回归模型,全面研究了土地利用多功能的特征及其权衡/协同关系。采用比较优势理论,在网格尺度上利用 NRCA 指数确定主导功能区,以实现国土空间功能区划。结果表明,生产-生活-生态功能之间存在着错综复杂的权衡/协同关系。此外,权衡/协同的类型和强度随着社会经济发展和区域资源禀赋差异而不断演变。由于资源禀赋的特殊性,农业主导型功能区、城市主导型功能区和生态主导型功能区所占比重较大,分别为 29%、7% 和 26%。然而,由于土地利用的多功能性所固有的错综复杂的权衡/协同作用,仅有 2%(农业)、1%(城市)和 1%(生态)的区域被确定为优化指导区。相反,整治改善区所占比例最大,占总面积的 63%,其中农业、城市和生态整治改善区分别约占 33%、12% 和 18%。根据生产-生活-生态功能之间的权衡/协同类型和强度,以及主导区和综合地域空间功能分区划定的结果,本文为该地区的可持续发展提供了有针对性的建议。这些建议考虑到了研究地区特有的资源禀赋和社会经济发展特征。本研究旨在填补相关研究空白,同时为其他区域研究提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Identification and Evaluation of Land Use Multifunctions and Their Interrelationships Improve Territorial Space Zoning Management in Harbin, China
Quantitative assessment and trade-off/synergy analysis of land use multifunctions can effectively identify regional conflicts and dominant functions, providing decision support for promoting sustainable socio-economic and land use development. However, current research in this field still faces challenges due to coarse scale of studies and limited availability of accurate data. Taking Harbin City as a research case, this research employed an improved mutation level method, Pearson correlation analysis, and a multi-scale geographically weighted regression model to comprehensively investigate the profiling of land use multifunctions and their trade-off /synergy relationships. The comparative advantage theory was adopted to identify dominant functional zones using the NRCA index at a grid scale, in order to achieve a territorial spatial functional zoning delineation. The results showed that there were intricate trade-off/synergy relationships among production–living–ecology functions. Moreover, the types and intensity of trade-off/synergy evolved continuously with socio-economic development and regional resource endowment disparities. Due to its exceptional resource endowment, the agricultural dominated, urban dominated, and ecological dominated functional areas accounted for a significant proportion of 29%, 7%, and 26%, respectively. However, owing to the intricate trade-offs/synergies inherent in land use multifunctions, only a mere 2% (agricultural), 1% (urban), and 1% (ecological) of the area were identified as Optimization Guidance Zones. Conversely, Remediation Improvement Zones constituted the largest share at 63% of the total area, with agricultural, urban, and ecological Remediation Improvement Zones accounting for approximately 33%, 12%, and 18%, respectively. Based on the results of the type and intensity of trade-off/synergy among production–living–ecological functions, as well as the dominant zones and the integrated territorial spatial functional zoning delineation, this article provided targeted recommendations for the sustainable development of the region. These recommendations took into account both resource endowment and socio-economic development characteristics specific to the study area. The study aims to contribute to related research gaps, while providing valuable insights for other regional studies.
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