2016
DOI: 10.5532/kjafm.2016.18.1.1
|View full text |Cite
|
Sign up to set email alerts
|

Estimation of Specific Leaf Area Index Using Direct Method by Leaf Litter in Gwangneung, Mt. Taewha and Mt. Gariwang

Abstract: Annual litterfall production and leaf area index (LAI, m 2 /m 2 ) were estimated using litter traps in Gwangneung, Mt. Taewha and Mt. Gariwang. Annual total litter fall production including branch, bark, others was the highest in Gwangneung(7497.3±326.5 kg/ha/yr), which had the highest basal area at late successional stage, and followed by Mt. Taewha(5929.1±225.8 kg/ha/yr) and Mt. Gariwang(3,210.1±220.1 kg/ha/yr). Mt. Gariwang had the lowest litterfall production due to high elevation and short growing season … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 41 publications
(30 reference statements)
0
1
0
Order By: Relevance
“…Nitrogen is an important component of plant photosynthetic organs and of functional and structural proteins (Kwon et al 2019). In particular, nitrogen in the leaves constitutes the photosynthetic enzymes, such as chlorophyll and rubisco (ribulose-1,5-biphosphate carboxylase/oxygenase), which determines the maximum carboxyla-tion rate (VCmax -Makino & Osmond 1991, Hikosaka 2004, with a decisive influence on forest productivity (Harley et al 1992, Harrison et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Nitrogen is an important component of plant photosynthetic organs and of functional and structural proteins (Kwon et al 2019). In particular, nitrogen in the leaves constitutes the photosynthetic enzymes, such as chlorophyll and rubisco (ribulose-1,5-biphosphate carboxylase/oxygenase), which determines the maximum carboxyla-tion rate (VCmax -Makino & Osmond 1991, Hikosaka 2004, with a decisive influence on forest productivity (Harley et al 1992, Harrison et al 2009).…”
Section: Introductionmentioning
confidence: 99%