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结合Sentinel-2和机载激光雷达数据的南亚热带山地森林树种多样性估测

刘晴 李世明 张浩芫 齐志勇 张译 张虎

生态学报2026,Vol.46Issue(3):1289-1300,12.
生态学报2026,Vol.46Issue(3):1289-1300,12.DOI:10.20103/j.stxb.202503240669

结合Sentinel-2和机载激光雷达数据的南亚热带山地森林树种多样性估测

Estimating tree species diversity in a south subtropical mountainous forest using Sentinel-2 and airborne laser scanning data

刘晴 1李世明 1张浩芫 1齐志勇 2张译 1张虎1

作者信息

  • 1. 中国林业科学研究院资源信息研究所,北京 100091||中国林业国家林业和草原局林业遥感与信息技术重点实验室,北京 100091
  • 2. 北京大学地球与空间科学学院遥感与地理信息系统研究所,北京 100871
  • 折叠

摘要

Abstract

Estimating spatial patterns of tree species diversity(TSD)across extensive regions is fundamental for biodiversity assessment as well as the sustainable management and conservation of forest resources.However,relatively few studies have quantified TSD in subtropical forests by integrating both vegetation structural data and climatic variables.Based on Spectral Variability Hypothesis(SVH)and Height Variation Hypothesis(HVH),we modeled and predicted TSD through Extreme Gradient Boosting(XGBoost)machine learning algorithm in subtropical montane forests in Pu'er,Yunnan,with Sentinel-2 imagery and aerial laser scanning(ALS)data.Our results showed that:(1)the combination of spectral features based on dry and wet seasons imagery improved the mapping accuracy of TSD.The Shannon-Wiener diversity index in the wet season outperformed that in the dry season(R2=0.606,RMSE=0.565),while the Simpson diversity index behaved better in the dry season(R2=0.578,RMSE=0.238).(2)Spectral features showed an advantage on predicting species richness(R2=0.738,RMSE=2.448),and LiDAR features were beneficial for the Shannon-Wiener diversity index(R2=0.718,RMSE=0.199).Combining both especially enhanced the prediction of the Simpson diversity index(R2=0.801,RMSE=0.189).(3)The red-edge band,Rao's Q,coefficient of variation,texture features and canopy characteristic(CCm)were identified as highly valuable predictors for mapping TSD.(4)TSD and its spatial distribution in this area are the comprehensive result of niche differentiation,climatic conditions,topography,and forest management practices.Our findings provide a framework for assessing and monitoring TSD in subtropical montane forests and offer practical insights for local forest management and biodiversity conservation.

关键词

树种多样性/Sentinel-2/机载激光雷达/光谱异质性/高度异质性/XGBoost

Key words

tree species diversity/Sentinel-2/airborne laser scanning/spectrum heterogeneity/height heterogeneity/XGBoost

引用本文复制引用

刘晴,李世明,张浩芫,齐志勇,张译,张虎..结合Sentinel-2和机载激光雷达数据的南亚热带山地森林树种多样性估测[J].生态学报,2026,46(3):1289-1300,12.

基金项目

国家重点研发计划(2023YFB3905801) (2023YFB3905801)

中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2022ZB00105) (CAFYBB2022ZB00105)

生态学报

OACHSSCD

1000-0933

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