DOI: 10.57760/sciencedb.02144
title: Canopy height structure classification of tropical forest under driving effects of topography and historical disturbance in Menglun, Xishuangbanna-Supplementary Material
title: 地形因子和干扰历史影响下的西双版纳勐仑地区热带森林林冠高度结构特征-附录

description: Structure diversity is tightly related to biodiversity and ecosystem functioning. In this study, we try to classify and describe canopy height structure of different plant communities with quantified methods, and find key factors that driving the variation of canopy height structure in tropical seasonal rainforest. Canopy height and terrain factors were surveyed by a drone-based LiDAR in at Menglun sub-Natural Reserve, Xishuangbanna, and panchromatic imageries at 1981 and 2021 in this area were also compared to assess the historical and current disturbance. Multiple regression tree (MRT) was used to classify canopy height structure types, and find the effect of environment factors to canopy height structure classification. 7 classes were classified by MRT, which indicate different vegetation types include tropical seasonal rainforest, monsoon evergreen broadleaf forest, secondary forest and canopy gaps. The potential solar radiation (PSR), elevation, terrain profile curvature, slope and the brightness value of imageries at 1981 and 2021 were main factors that drive the classification. Not only terrain factors, historical human disturbance that already passed for nearly 40 years still lead the canopy height to different structure at present day. The recovery of canopy structure needs decades or even hundreds of years, the history and intensity of both climate change and human disturbance need be more concerned in biodiversity and long-term ecology studies.
description: Structure diversity is tightly related to biodiversity and ecosystem functioning. In this study, we try to classify and describe canopy height structure of different plant communities with quantified methods, and find key factors that driving the variation of canopy height structure in tropical seasonal rainforest. Canopy height and terrain factors were surveyed by a drone-based LiDAR in at Menglun sub-Natural Reserve, Xishuangbanna, and panchromatic imageries at 1981 and 2021 in this area were also compared to assess the historical and current disturbance. Multiple regression tree (MRT) was used to classify canopy height structure types, and find the effect of environment factors to canopy height structure classification. 7 classes were classified by MRT, which indicate different vegetation types include tropical seasonal rainforest, monsoon evergreen broadleaf forest, secondary forest and canopy gaps. The potential solar radiation (PSR), elevation, terrain profile curvature, slope and the brightness value of imageries at 1981 and 2021 were main factors that drive the classification. Not only terrain factors, historical human disturbance that already passed for nearly 40 years still lead the canopy height to different structure at present day. The recovery of canopy structure needs decades or even hundreds of years, the history and intensity of both climate change and human disturbance need be more concerned in biodiversity and long-term ecology studies.