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    高梦瑶, 李翅. 黄河下游城市区域绿色空间时空演变的规律与机制[J]. 北京林业大学学报, 2023, 45(3): 113-126. DOI: 10.12171/j.1000-1522.20220129
    引用本文: 高梦瑶, 李翅. 黄河下游城市区域绿色空间时空演变的规律与机制[J]. 北京林业大学学报, 2023, 45(3): 113-126. DOI: 10.12171/j.1000-1522.20220129
    Gao Mengyao, Li Chi. Law and mechanism of spatio-temporal evolution of urban greenspace in the lower reaches of the Yellow River[J]. Journal of Beijing Forestry University, 2023, 45(3): 113-126. DOI: 10.12171/j.1000-1522.20220129
    Citation: Gao Mengyao, Li Chi. Law and mechanism of spatio-temporal evolution of urban greenspace in the lower reaches of the Yellow River[J]. Journal of Beijing Forestry University, 2023, 45(3): 113-126. DOI: 10.12171/j.1000-1522.20220129

    黄河下游城市区域绿色空间时空演变的规律与机制

    Law and mechanism of spatio-temporal evolution of urban greenspace in the lower reaches of the Yellow River

    • 摘要:
        目的  绿色空间是城乡发展的生态基础,良好的绿色空间体系是协调城市发展和自然保护的重要保障。全面测度黄河下游城市区域绿色空间时空演变规律并探究其演变机制,有助于下游绿色生态走廊建设和滩区生态综合整治中的规划应对。
        方法  以黄河下游4个城市济南、菏泽、郑州、新乡为研究对象,以1990、2000、2010、2020年为时间节点,基于土地利用二级分类和植被覆盖密度划分区域绿色空间类型,进而运用转移矩阵、景观格局指数、城乡梯度、地理探测等方法,对绿色空间时空演变的规律与机制开展定量研究。
        结果  (1)30年间,绿色空间合计向裸露地表转出3 223 km2,裸露地表向各类绿色空间转出1 181 km2;绿色空间之间互相转换735 km2,其中较高密度向较低密度绿色空间转出466 km2,较低密度向较高密度绿色空间转出269 km2。(2)各类绿色空间斑块数量减少,斑块平均面积、功能连通度增加,低密度绿色空间斑块面积比、面积加权平均形状指数减少是景观格局指数变化的普遍规律。(3)城乡梯度上,低密度绿色空间的波峰、波谷移动明显,高、中密度绿色空间相对固定。(4)自然环境因素对济南、郑州、新乡区域绿色空间分布产生主导影响,社会经济因素解释力的累积值增加了3.1% ~ 8.4%,因子间的非线性增强效果逐年提升。
        结论  30年间,区域绿色空间总量损失,绿色空间内部转移以中、高密度向低密度的转出为主,各级城镇建成区边缘、宽滩区沿线转移较多;景观格局的总体变化趋势为由明显波动到趋近平稳、由破碎分散向整合连通,中、高密度绿色空间指标的改善态势在区域性中心城市更为明显;城乡梯度特征在城市间、绿色空间类型间存在较大差异;影响因子间对绿色空间地理分布的协同作用渐增,绿色空间逐渐成为自然−社会互构的结果。未来应“因城制宜”地促进城市区域绿色空间由“屏障”转为“枢纽”。

       

      Abstract:
        Objective  Greenspace is the ecological foundation of urban and rural development, and a good greenspace system is an important guarantee for coordinating urban development and nature conservation. Comprehensive measurement and investigation of the spatio-temporal evolution pattern of city-wide greenspace in the lower reaches of the Yellow River can help the planning for the construction of ecological corridors in the lower reaches and ecological improvement in the floodplain.
        Method  Four cities in the lower reaches of the Yellow River, Jinan, Heze, Zhengzhou, and Xinxiang, were used as the study objects, and year 1990, 2000, 2010, and 2020 were taken as the time nodes. Using vegetation cover density and the secondary classification of land use, the city-wide green space types were classified, and then the transfer matrix, landscape pattern indices, urban-to-rural trajectory and geo-detector were used to conduct quantitative research on the spatio-temporal patterns and mechanism of city-wide evolution greenspace.
        Result  (1) In the past 30 years, the greenspace had transferred 3 223 km2 to the bare surface, and the bare surface had transferred 181 km2 to all kinds of greenspace; 735 km2 of greenspace was transferred to each other, of which 466 km2 was transferred from higher density to lower density greenspace, and 269 km2 was transferred from lower density to higher density greenspace. (2) The decrease of percentage of landscape (PLAND) and area-weighted mean shape index (AWMSI) of sparse greenspace, the decrease of number of patches (NP) of all kinds of greenspace, and the increase of mean patch size (MPS) and functional connectivity (PC) were the general rules of landscape pattern indices. (3) On the urban-rural gradient, the peaks and valleys of low density greenspaces moved significantly, while high and medium density greenspaces were relatively fixed. (4) The influence of natural environmental factors on the geographical distribution of greenspace in Jinan, Shandong Province of eastern China, Zhengzhou and Xinxiang, Henan Province of central China was dominant, and the cumulative influence of socio-economic factors in each city increased by 3.1%−8.4%, showing an increasingly obvious non-linear enhancement with natural environmental factors. influence of socio-economic factors in each city increased by 3.1%−8.4%, showing an increasingly obvious non-linear enhancement with natural environmental factors.
        Conclusion  During the 30 years, the total amount of regional greenspace is lost, and the internal transfer of greenspace is mainly from higher density to lower density, with more transfers along the edges of built-up areas and along the wide floodplain; the overall trend of landscape pattern changes from obvious fluctuation to nearly stable, from fragmentation and dispersion to integration and connectivity, and the improvement trend is more obvious in regional central cities; the urban-to-rural trajectory characteristics differ greatly between cities and greenspace types; the synergistic effect among influencing factors is gradually increasing, and greenspace gradually becomes the result of natural-social interconfiguration. In the future, the city-wide greenspace should be transformed from a “barrier” to a “hub” according to the needs of the city.

       

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