基于被动声学监测技术的城市绿地景观格局与鸟类多样性关联分析

李乐, 张承云, 裴男才, 高丙涛, 王娜, 李嘉睿, 武瑞琛, 郝泽周

Correlation analysis of urban green landscape patterns and bird diversity based on passive acoustic monitoring technology

Le Li, Chengyun Zhang, Nancai Pei, Bingtao Gao, Na Wang, Jiarui Li, Ruichen Wu, Zezhou Hao

图5 随机森林回归(RFR)模型中预测变量对鸟类物种数量的相对重要性。括号中为Pearson相关系数; ALAN: 人造夜间灯光; NDVI: 归一化植被指数; PLAND-gs: 绿地面积比例; MPS-gs: 绿地平均斑块面积; ENN-gs: 绿地斑块平均邻近距离; PLAND-islet: 孤岛面积比例; PD-gallery: 廊道斑块密度; PD-core: 核心斑块密度; MPS-gallery: 廊道平均斑块面积; COHESOON-gs: 绿地斑块结合度; MESH-gs: 绿地有效粒度尺寸; MPS-islet: 孤岛平均斑块面积; PLAND-gallery: 廊道面积比例; PLAND-core: 核心面积比例; MPS-core: 核心斑块平均面积; PD-gs: 绿地斑块密度; PD-islet: 孤岛斑块密度; * P < 0.05; ** P < 0.01。

Fig. 5 Relative importance of predictor variables in the random forest regression (RFR) model for bird species numbers. Parentheses contain the Pearson correlation coefficient. ALAN, Artificial night-time light; NDVI, Normalized difference vegetation index; PLAND-gs, Proportion of green space; MPS-gs, Mean patch size of green space; ENN-gs, Mean nearest-neighbor distance of green patches; PLAND-islet, Proportion of islet; PD-gallery, Patch density of gallery; PD-core, Patch density of core; MPS-gallery, Mean patch size of gallery; COHESOON-gs, Cohesion index of green patches; MESH-gs, Effective mesh size of green space; MPS-islet, Mean patch size of islet; PLAND-gallery, Proportion of gallery; PLAND-core, Proportion of core; MPS-core, Mean patch size of core; PD-gs, Patch density of green space; PD-islet, Patch density of islet. * P < 0.05; ** P < 0.01.