Reconciling the contribution of niche and stochastic structuring of tropical forest diversity through the lens of imaging spectroscopy

Supplementary data for the article of Bongalov et al. "Reconciling the contribution of niche and stochastic structuring of tropical forest diversity through the lens of imaging spectroscopy" (2019) Ecology Letters (in press).<br>Please refer to the paper for description of the methods. Note that the Airborne data is available via the CEDA archive (project code MA14/21); plot data is archived on forestplots.net (codes SEP-03, 04, 05, 07, 08, 09, 10, 11, 12).<br>Environmental_description.csv stores information on the ALS-derived environmental variables;Spectral_clusters.csv stores information on the abundance of spectral clusters in each cell over the landscape;Simulations.csv.gz stores the modelled communities; its unzipped size is ca. 2GB<br>

本数据集为Bongalov等人2019年发表于《生态学通讯》（Ecology Letters，已接收待刊）的论文《基于成像光谱学视角调和热带森林多样性的生态位构建与随机构建贡献》的补充数据。
请参阅原文以获取实验方法的详细说明。请注意，航空遥感数据可通过CEDA档案馆获取（项目代码：MA14/21）；样地数据存档于forestplots.net平台（存档代码：SEP-03、04、05、07、08、09、10、11、12）。
其中，Environmental_description.csv存储了基于机载激光扫描（ALS, Airborne Laser Scanning）得到的环境变量相关信息；Spectral_clusters.csv存储了研究区域各景观网格单元内光谱集群的丰度信息；Simulations.csv.gz为模拟得到的群落数据，其解压后大小约为2GB。