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

Author:

Wang Jing1ORCID,Li Yuanzhi1ORCID,Rahman Md Mizanur234ORCID,Li Buhang5,Yan Zhengbing6ORCID,Song Guangqin3,Zhao Yingyi3ORCID,Wu Jin3ORCID,Chu Chengjin1ORCID

Affiliation:

1. School of Ecology Shenzhen Campus of Sun Yat‐sen University Shenzhen Guangdong 518107 China

2. Jiangmen Laboratory of Carbon Science and Technology The Hong Kong University of Science and Technology Shenzhen Guangdong 529100 China

3. Research Area of Ecology and Biodiversity, School for Biological Sciences The University of Hong Kong Hong Kong SAR 999077 China

4. JC STEM Lab of Earth Observations, Research Centre for Artificial Intelligence in Geomatics, Department of Land Surveying and Geo‐Informatics The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong SAR 999077 China

5. School of Life Sciences Sun Yat‐sen University Guangzhou Guangdong 510275 China

6. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany Chinese Academy of Sciences Xiangshan Beijing 100093 China

Abstract

Summary 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. 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). 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; r2 = 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). 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.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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