摘要
生态承载力是制约区域可持续发展的重要因素。以滇中城市群为研究区域,基于P-S-R模型构建生态承载力指标体系,运用熵权法和CRITIC算法确定权重系数,阐明生态承载力的时空分布特点,并采用障碍度诊断其主要影响因素。结果表明:时间演变上,滇中城市群在2010—2021年生态承载力指数呈现波动上升的趋势,各州市在研究时段内的指数稳中有变。空间分异上,滇中城市群生态承载力空间格局由中心聚集逐渐向空间均衡发展,高值中心在不断转移。不同因素对各州市的影响程度存在较大差异,昆明市主要障碍因子为建成区面积比重,而曲靖市、玉溪市及楚雄州的主要影响指标均为自然科学机构中从事科技人员数。研究结果可为指导区域绿色协调发展提供科学依据。
Ecological carrying capacity is an important factor restricting regional sustainable development.In this study,the urban agglomeration in Central Yunnan is taken as the research area,the ecological carrying capacity index system is established based on the P-S-R model,the weight coefficient is determined by the entropy weight method and CRITIC algorithm,the spatial-temporal distribution characteristics of the ecological carrying capacity are clarified,and the obstacle degree is adopted to diagnose its main influencing factors.The results show that the ecological carrying capacity index of the urban agglomeration in Central Yunnan presents a trend of fluctuation and increase during 2010-2020,and the index of each city changes during the research period.In terms of spatial differentiation,the spatial pattern of ecological carrying capacity in the urban agglomeration in Central Yunnan gradually developed from central aggregation to spatial equilibrium,and the high-value center was constantly shifting.Different factors have different influences on different cities.The main obstacle factor of Kunming is the proportion of built-up area,while the main influence index of Qujing,Yuxi and Chuxiong is the number of scientific and technological personnel in natural science institutions.The research results can provide scientific basis for guiding the coordinated development of regions.
作者
孙萌萌
蒋瑜函
何云玲
SUN Meng-meng;JIANG Yu-han;WANG Li;YANG Wei-gui;TIAN Yun-han;HE Yun-ling(School of Earth Sciences,Yunnan University,Kunming 650500,Yunnan,China)
出处
《云南地理环境研究》
2023年第3期53-63,共11页
Yunnan Geographic Environment Research
基金
2022年云南省大学生创新训练项目“基于熵权法的滇中城市群生态承载力综合评价研究”(S202210673048)。
关键词
滇中城市群
压力—状态—响应模型
熵权法
生态承载力
urban agglomeration in Central Yunnan
P-S-R model
ecological carrying capacity
spatial-temporal distribution
obstacle factor