| 滇中城市群绿色空间生态系统服务价值时空演变及驱动分析 |
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| 引用本文： | 潘 悦,王 锦,李婧熹,刘 敏,魏晓燕,支林蛟.滇中城市群绿色空间生态系统服务价值时空演变及驱动分析[J].水土保持研究,2023,30(2):352-360. |
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| 作者姓名： | 潘 悦 王 锦 李婧熹 刘 敏 魏晓燕 支林蛟 |
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| 作者单位： | (1.西南林业大学 园林园艺学院, 昆明 650201; 2.昆明理工大学 建筑与城市规划学院, 昆明 650550; 3.云南省测绘资料档案馆(云南省基础地理信息中心), 昆明 650034; 4.国家林业和草原局昆明勘察设计院, 昆明 650031) |
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| 基金项目： | 国家自然科学基金项目(42061074,41701470)； |
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| 摘 要： | 对滇中城市群绿色空间生态系统服务价值(Ecosystem Service value, ESV)进行时空演变及驱动因素的探析，有利于了解区域生态系统服务空间差异，有助于规划者从宏观层面掌握滇中城市群的自然资源情况，合理地制定规划建设策略。研究以滇中城市群49个区、县、市作为研究单元，对2000年、2010年、2019年3期的ESV进行量化，并收集“自然—社会—经济”维度的驱动因子，采用主成分分析与地理加权回归探讨“自然—社会—经济”因素对滇中城市群绿色空间ESV的驱动作用。结果表明：(1) 2000—2019年滇中城市群绿色空间的ESV总体呈现增加状态，一级服务类型中，供给、支持和文化服务小幅度上升，调节服务小幅度下降，二级服务类型中，气候与水文调节对生态系统服务功能的贡献最大，其次为土壤保持、生物多样性和气体调节；(2) 3期ESV空间分布特征较为一致，呈现城市群边缘地区的ESV高于城市群中部地区的ESV的特征；(3)社会因素对滇中城市群绿色空间的ESV的时空演变影响最大、其次为自然因素和经济因素，主要驱动因子为城镇化率、人均GDP、人口密度、森林覆盖率、第二产业占比。(4)城镇化率...
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| 关 键 词： | 滇中城市群 绿色空间 生态系统服务价值 驱动因子 地理加权回归 |
Spatial and Temporal Evolution and Driving Analysis of Green Space Ecosystem Service Value of Urban Agglomeration in Central Yunnan |
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| PAN Yue,WANG Jin,LI Jingxi,LIU Min,WEI Xiaoyan,ZHI Linjiao.Spatial and Temporal Evolution and Driving Analysis of Green Space Ecosystem Service Value of Urban Agglomeration in Central Yunnan[J].Research of Soil and Water Conservation,2023,30(2):352-360. |
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| Authors: | PAN Yue WANG Jin LI Jingxi LIU Min WEI Xiaoyan ZHI Linjiao |
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| Institution: | (1.School of Horticulture, Southwest Forestry University, Kunming 650201, China; 2.School of Architecture and Urban Planning, Kunming University of Science and Technology, Kunming 650550, China; 3.Yunnan Surveying and Mapping Data Archives /Yunnan Basic Geographic Information Center, Kunming 650034, China; 4.Kunming Survey and Design Institute, National Forestry and Grassl and Administration, Kunming 650031, China) |
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| Abstract: | The analysis of the temporal and spatial evolution and driving factors of the green space ecosystem service value(ESV)of Central Yunnan Urban Agglomeration is conducive to understanding the spatial differences of regional ecosystem services, helps planners master the natural resources of Central Yunnan Urban Agglomeration from the macro level, and reasonably formulates planning and construction strategies. Taking 49 districts, counties and cities of Central Yunnan Urban Agglomeration as research units, we quantified the ESV in three periods of 2000, 2010 and 2019, collected the driving factors of ‘nature society economy' dimension, and used principal component analysis and geographic weighted regression to explore the driving effect of ‘nature society economy' factors on the green space ESV of Central Yunnan Urban Agglomeration. The results show that:(1)from 2000 to 2019, the ESV of green space in Central Yunnan Urban Agglomeration generally increased; in the primary service types, the supply, support and cultural services increased slightly, and the regulation services decreased slightly; In the secondary service types, climate and hydrological regulation contributed the most to the ecosystem service function, followed by soil conservation, biodiversity and gas regulation;(2)the spatial distribution characteristics of ESV in the three phases were relatively consistent, showing that the ESV in the marginal area of urban agglomeration was higher than that in the central area of urban agglomeration;(3)social factors had the greatest impact on the temporal and spatial evolution of ESV in green space of urban agglomeration in Central Yunnan, followed by natural factors and economic factors; the main driving factors were urbanization rate, per capita GDP, population density, forest coverage and the proportion of secondary industry;(4)the urbanization rate, population density and the proportion of secondary industry showed the characteristics of two-level driving; per capita GDP showed negative driving characteristics; the forest coverage showed positive driving characteristics. In summary, the ESV of green space in the Central Yunnan Urban Agglomeration has increased in the last 20 years, and its changes are mainly influenced by social factors. This study can provide a reference for the sustainable development of the Central Yunnan Urban Agglomeration. |
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| Keywords: | Central Yunnan Urban Agglomeration green space ecosystem service value driving factors geographically weighted regression |
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