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[期刊论文]

Evaluating two optical methods of Woody-to-total area ratio with destructive measurements at Five Larix gmelinii Rupr. Forest Plots in China

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author:

Zou, J. (Zou, J..) [1] | Leng, P. (Leng, P..) [2] | Hou, W. (Hou, W..) [3] | Unfold

Indexed by:

Scopus

Abstract:

Accurate in situ leaf area index (LAI) estimates of forest plots are required to validate currently-used LAI map products. Woody-to-total area ratio (a) is a crucial parameter in converting the plant area index estimates of forest plots obtained by opticalmethods into LAI. Although opticalmethods for estimating the a of forest canopy have been proposed, their performance has never been assessed. In this study, five Larix gmelinii Rupr. forest plots with contrasting plot characteristics (i.e., tree age, tree height, management activities, stand density, and site conditions) were selected. The performance of two commonly used optical methods, namely, multispectral canopy imager (MCI) and digital hemispherical photography (DHP), in estimating the a of L. gmelinii forest plots was evaluated by using the reference α of the selected forest plots. The reference a of forest plots was measured via destructive method by harvesting two or three representative trees in each plot. Large variations were observed amongst the reference a of the selected forest plots (ranging from 0% to 56%). These α were also highly correlated with the site conditions and management activities in these plots. The effective α (αe) or α estimated using the leaf-on and leaf-off periodsMCI or DHP images with or without consideration of the clumping effects of canopy element and woody components were 1.57 to 4.63 times the reference a in the five plots. The overestimation of α or αe wasmainly caused by the preferential shading ofwoody components by the shoots in the leaf-on canopy. Accurate a estimates for the L. gmelinii forest plots with errors of less than 20% can be obtained fromMCI when the clumping effects of canopy element and woody components are considered in the estimation. © 2018 by the authors.

Keyword:

Clumping effect; Digital hemispherical photography; Forest canopy; Leaf area index (LAI); Multispectral canopy imager; Plant area index (PAI); Woody area index (WAI); Woody-to-total area ratio

Community:

  • [ 1 ] [Zou, J.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Zou, J.]Key Laboratory of Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 3 ] [Leng, P.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Leng, P.]Key Laboratory of Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 5 ] [Hou, W.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Hou, W.]Key Laboratory of Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 7 ] [Zhong, P.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, 350116, China
  • [ 8 ] [Zhong, P.]Key Laboratory of Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 9 ] [Chen, L.]School of Forestry, Beijing Forestry University, Beijing, 100083, China
  • [ 10 ] [Mai, C.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, 350116, China
  • [ 11 ] [Mai, C.]Key Laboratory of Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 12 ] [Qian, Y.]Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing, 100094, China
  • [ 13 ] [Zuo, Y.]Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou, 350116, China
  • [ 14 ] [Zuo, Y.]Key Laboratory of Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China

Reprint 's Address:

  • [Zou, J.]Spatial Information Research Center of Fujian Province, Fuzhou UniversityChina

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Source :

Forests

ISSN: 1999-4907

Year: 2018

Issue: 12

Volume: 9

2 . 1 1 6

JCR@2018

2 . 4 0 0

JCR@2023

ESI HC Threshold:115

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

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Online/Total:146/10010680
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