文献类型：期刊文献

英文题名：Species diversity estimation in a typical tropical forest: which phenological stage and spatial resolution are suitable?

作者：Zhao, Ping[1,2,3] Zeng, Yuan[1,2,3] Zheng, Zhaoju[1,2] Xu, Cong[1,2] Wu, Jinchen[1,2,3] Mu, Xuan[1,2,3] Zhou, Zhaofu[1,2,3] Chen, Junhua[1,2,3] Zhang, Tao[4] Zhao, Dan[1,2,3]

第一作者：Zhao, Ping

通信作者：Zheng, ZJ[1];Zheng, ZJ[2]

机构：[1]Hainan Aerosp Informat Res Inst, Key Lab Earth Observat Hainan Prov, Wenchang, Peoples R China;[2]Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China;[3]Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China;[4]Chinese Acad Forestry, Res Inst Trop Forestry, Hainan Jianfengling Natl Key Field Stn Forest Ecos, Guangzhou, Peoples R China

年份：2025

卷号：16

外文期刊名：FRONTIERS IN PLANT SCIENCE

收录：;Scopus(收录号：2-s2.0-105014759640);WOS:【SCI-EXPANDED(收录号:WOS:001563584300001)】；

基金：The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by the Hainan Provincial Natural Science Foundation of China (Grant No. 423CXTD389), the National Natural Science Foundation of China (Grant No. 42301410), and the China Postdoctoral Science Foundation (Grant No. 2023M743587).

语种：英文

外文关键词：tropical forest; species diversity; phenology; spatial scale; sentinel-2; GF2

摘要：Satellite remote sensing data is essential for large-scale, timely, and repeatable monitoring of forest species diversity. While various methods have been applied to satellite-based diversity estimation at regional scales, selecting suitable sensor and monitoring period remains challenging, especially in tropical forests. This study aims to identify the optimal time window, spatial resolution, and metrics for species diversity estimation in the Jianfengling tropical forest in southern China. We constructed stepwise linear regression models for estimating Richness, Simpson, and Shannon-Wiener indices using in-situ species diversity and heterogeneity metrics of spectra and structure. For analyzing phenology influence, we utilized six Sentinel-2 images acquired bimonthly from January to November. For evaluating scale dependency, we resampled the GF2 image to five spatial resolutions ranging from 0.8 to 10 m. The results indicated that the suitable phenological periods for species diversity estimation were at the beginning and end of the growing season, especially September performing the best for all diversity indices. Among four types of heterogeneity metrics, spectral information consistently explained most variance in species diversity indices across all periods. The optimal spatial resolution for estimating Richness and Shannon-Wiener index was 4-5 m, which corresponded to the average tree crown size. The texture features made a significant contribution compared to other metrics. Our study highlights that species diversity monitoring is highly dependent on the spatiotemporal scales of remote sensing data. It may offer practical guidance for selecting appropriate data and methods for species diversity monitoring in tropical forests.