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
相关论文
共 50 条
  • [1] The impact of tree canopy structure on understory variation in a boreal forest
    Majasalmi, Titta
    Rautiainen, Miina
    FOREST ECOLOGY AND MANAGEMENT, 2020, 466
  • [2] The influence of canopy patch mosaics on understory plant community composition in boreal mixedwood forest
    Chavez, Virginia
    Macdonald, S. E.
    FOREST ECOLOGY AND MANAGEMENT, 2010, 259 (06) : 1067 - 1075
  • [3] Understory plant diversity and composition across a postfire tree density gradient in a Siberian Arctic boreal forest
    Paulson, Alison K.
    Pena, Homero
    Alexander, Heather D.
    Davydov, Sergei P.
    Loranty, Michael M.
    Mack, Michelle C.
    Natali, Susan M.
    CANADIAN JOURNAL OF FOREST RESEARCH, 2021, 51 (05) : 720 - 731
  • [4] Forest structure and understory plant communities inside and outside tree retention groups in boreal forests
    Lachance, Edith
    Pothier, David
    Bouchard, Mathieu
    ECOSCIENCE, 2013, 20 (03): : 252 - 263
  • [5] Canopy gap characteristics and tree replacement in the southeastern boreal forest
    Kneeshaw, DD
    Bergeron, Y
    ECOLOGY, 1998, 79 (03) : 783 - 794
  • [6] Energy balance and canopy conductance of a boreal aspen forest: Partitioning overstory and understory components
    Blanken, PD
    Black, TA
    Yang, PC
    Neumann, HH
    Nesic, Z
    Staebler, R
    den Hartog, G
    Novak, MD
    Lee, X
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D24) : 28915 - 28927
  • [7] CANOPY-UNDERSTORY INTERACTION EFFECTS ON FOREST POPULATION STRUCTURE
    GOFF, FG
    WEST, D
    FOREST SCIENCE, 1975, 21 (02) : 98 - 107
  • [8] Shifts in southern Wisconsin forest canopy and understory richness, composition, and heterogeneity
    Rogers, David A.
    Rooney, Thomas P.
    Olson, Daniel
    Waller, Donald M.
    ECOLOGY, 2008, 89 (09) : 2482 - 2492
  • [9] Influences of canopy structure and physiological traits on flux partitioning between understory and overstory in an eastern Siberian boreal larch forest
    Xue, Bao-Lin
    Kumagai, Tomo'omi
    Iida, Shin'ichi
    Nakai, Taro
    Matsumoto, Kazuho
    Komatsu, Hikaru
    Otsuki, Kyoichi
    Ohta, Takeshi
    ECOLOGICAL MODELLING, 2011, 222 (08) : 1479 - 1490
  • [10] PREDICTION OF FOREST CANOPY STRUCTURE FROM POLINSAR DATASET
    Brigot, Guillaume
    Simard, Marc
    Koeniguer, Elise
    Taillandier, Cedric
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4306 - 4309