【摘要】 城市公园作为高密度建成区的重要生态空间，其植被碳密度具有较强的尺度依赖性。以苏州市广济公园为例，基于无人机高精度正射影像与实地调查数据，采用景观类型划分与变异函数相结合的分析方法，构建以5 m为增量的多尺度网格体系，系统解析不同尺度下植被碳密度的分布特征与尺度效应。结果表明：（1）碳密度变异系数随网格尺度增大呈现非线性递减趋势，在15 m×15 m尺度时观测精度与采集效率达到最优；（2）不同景观空间类型对尺度变化的响应存在差异，蓝色空间与灰色空间因破碎化程度较高，尺度依赖性相对较弱；绿色空间得益于植被分布的连续性，表现出更强的尺度依赖性。研究结果为城市公园植被碳密度的多尺度评估提供了方法依据，对优化城市碳汇监测策略具有参考意义。更多还原

【Abstract】 Urban parks are important ecological spaces in high-density built-up areas, and the plant carbon density in urban parks has a strong scale dependence. Taking Guangji Park in Suzhou as an example, based on the high-precision orthophoto images of unmanned aerial vehicles and field investigation data, the paper constructs a multi-scale grid system with 5 m as the increment by combining the classification of landscape types with the variogram, and analyzes systematically the distribution characteristics and scale effects of plant carbon density at different scales. The results show that:(1) the coefficient of variation of carbon density shows a nonlinear decreasing trend with the increase of grid scale, and the observation accuracy and acquisition efficiency reaches the optimum at the scale of 15 m×15 m;(2) different types of landscape spaces respond differently to scale changes. Blue spaces and gray spaces, due to their higher degree of fragmentation, have relatively weaker scale dependence. Green spaces, benefiting from the continuity of plant distribution, exhibit a stronger scale dependence. The research result provides a methodological basis for the multi-scale assessment of plant carbon density in urban parks and has reference significance for optimizing the monitoring strategy of urban carbon sinks.更多还原