Effects of the fundamental axes of variation in structural diversity on the forest canopy temperature in an urban area

被引:2
|
作者
Jia, Jia [1 ,4 ]
Wang, Lei [1 ,4 ]
Yao, Yunlong [2 ,4 ]
Ye, Zhiwei [3 ]
Zhai, Yalin [1 ,4 ]
Fang, Jiyuan [1 ,4 ]
Jing, Zhongwei [1 ,4 ]
Li, Ruonan [1 ,4 ]
Yao, Mingchen [1 ,4 ]
机构
[1] Northeast Forestry Univ, Coll Landscape Architecture, Harbin 150040, Peoples R China
[2] Northeast Forestry Univ, Coll Wildlife & Protected Area, Harbin 150040, Peoples R China
[3] Univ Wisconsin Madison, Dept Forest & Wildlife Ecol, 1630 Linden Dr, Madison, WI 53706 USA
[4] Key Lab Garden Plant Germplasm Dev & Landscape Eco, Harbin 150040, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Unmanned aerial vehicle (UAV); Light detection and ranging (LiDAR); Canopy structure and temperature; Vegetation index; Principal component axes (PCs); Urban forest; ICE STORM; CLASSIFICATION; GREENNESS; IMAGERY; CARBON; TREE;
D O I
10.1016/j.scitotenv.2023.166201
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The spatial distribution and heterogeneity of forest canopy elements reveal the fundamental dimensions of plant structure variations. Forests characterized by greater structural complexity and diversity intercept solar radiation more effectively, directly influencing the thermal environment and energy balance of the canopy. However, the axes of variation in the distribution and heterogeneity of the canopy remain largely unknown, which limits our understanding of how structural diversity responds to canopy temperature variability. Here, we derived a set of structural diversity metrics from a dataset of canopy structure measurements obtained using unmanned aerial vehicle-light detection and ranging across major forest communities in an urban area in 2021 and 2022. We also explored the key axes of structural diversity variability and tested their predictive power for canopy temperature. The results showed that: (1) most of the variability within structural diversity (83.6 % and 81.8 %) was captured
引用
收藏
页数:12
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