Dataset of tree canopy structure and variation in understory composition in a boreal forest site

被引:0
作者
Majasalmi, Titta [1 ]
Rautiainen, Miina [1 ,2 ]
机构
[1] Aalto Univ, Sch Engn, Dept Built Environm, POB 14100, Aalto 00076, Finland
[2] Aalto Univ, Sch Elect Engn, Dept Elect & Nanoengn, POB 14100, Aalto 00076, Finland
来源
DATA IN BRIEF | 2020年 / 30卷
基金
芬兰科学院; 欧洲研究理事会;
关键词
Leaf area index; LAI; Canopy cover; Canopy openness; Site fertility; Forest canopy; Hyytiala; Forest floor;
D O I
10.1016/j.dib.2020.105573
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A field data set from 301 forest plots was collected during peak-growing season (June 24 - July 17, 2013) around Hyytialaforestry field station in Southern Finland (61 degrees 50' N, 24 degrees 17' E). For all plots, forest variables were collected following local forest inventory practice, and understory cover fractions were estimated using a traditional sampling quadrat. The understory layer in each plot was classified into four site fertility types: herb-rich, mesic, sub-xeric, and xeric. The upper understory layer fractional covers were estimated for: (1) dwarf shrubs, (2) pteridophytes and herbaceous species, and (3) graminoids, and the lower ground layer fractional covers for: (1) mosses, (2) lichens, and (3) litter (including all non-photosynthetic material). Canopy transmittance data were collected using two LAI-2000 device. The transmittance data were used to calculate effective leaf area index, true leaf area index, canopy openness and canopy cover for all plots. The data can be used to parameterize tree canopy and understory compositions in e.g., physically-based reflectance models, land surface models, and regional carbon cycle models. Interpretations of the results are provided in the related article [1]. (C) 2020 The Author(s). Published by Elsevier Inc.
引用
收藏
页数:7
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