Unraveling the drivers and impacts of leaf phenological diversity in a subtropical forest: A fine-scale analysis using PlanetScope CubeSats

被引:0
|
作者
Wang, Jing [1 ]
Li, Yuanzhi [1 ]
Rahman, Md Mizanur [2 ,3 ,4 ]
Li, Buhang [5 ]
Yan, Zhengbing [6 ]
Song, Guangqin [3 ]
Zhao, Yingyi [3 ]
Wu, Jin [3 ]
Chu, Chengjin [1 ]
机构
[1] Sun Yat sen Univ, Sch Ecol, Shenzhen Campus, Shenzhen 518107, Guangdong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Jiangmen Lab Carbon Sci & Technol, Shenzhen 529100, Guangdong, Peoples R China
[3] Univ Hong Kong, Sch Biol Sci, Res Area Ecol & Biodivers, Hong Kong 999077, Peoples R China
[4] Hong Kong Polytech Univ, Res Ctr Artificial Intelligence Geomat, Dept Land Surveying & Geoinformat, JC STEM Lab Earth Observat,Hung Hom,Kowloon, Hong Kong 999077, Peoples R China
[5] Sun Yat Sen Univ, Sch Life Sci, Guangzhou 510275, Guangdong, Peoples R China
[6] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Xiangshan, Peoples R China
基金
中国国家自然科学基金;
关键词
functional diversity; functional traits; plant phenology; productivity; satellite remote sensing; species diversity; FUNCTIONAL DIVERSITY; PHOTOSYNTHETIC SEASONALITY; TROPICAL FORESTS; TEMPERATE FOREST; FRAMEWORK; INDEXES; TRAITS; MODELS; AUTUMN; AREA;
D O I
10.1111/nph.19850
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
center dot Leaf phenology variations within plant communities shape community assemblages and influence ecosystem properties and services. However, questions remain regarding quantification, drivers, and productivity impacts of intra-site leaf phenological diversity. center dot With a 50-ha subtropical forest plot in China's Heishiding Provincial Nature Reserve (part of the global ForestGEO network) as a testbed, we gathered a unique dataset combining ground-derived abiotic (topography, soil) and biotic (taxonomic diversity, functional diversity, functional traits) factors. We investigated drivers underlying leaf phenological diversity extracted from high-resolution PlanetScope data, and its influence on aboveground biomass (AGB) using structural equation modeling (SEM). center dot Our results reveal considerable fine-scale leaf phenological diversity across the subtropical forest landscape. This diversity is directly and indirectly influenced by abiotic and biotic factors (e.g. slope, soil, traits, taxonomic diversity; r(2 )= 0.43). While a notable bivariate relationship between AGB and leaf phenological diversity was identified (r = -0.24, P < 0.05), this relationship did not hold in SEM analysis after considering interactions with other biotic and abiotic factors (P > 0.05). center dot These findings unveil the underlying mechanism regulating intra-site leaf phenological diversity. While leaf phenology is known to be associated with ecosystem properties, our findings confirm that AGB is primarily influenced by functional trait composition and taxonomic diversity rather than leaf phenological diversity.
引用
收藏
页码:607 / 619
页数:13
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