Specific leaf area and leaf area index distribution in a young Douglas-fir plantation

1986 ◽  
Vol 16 (6) ◽  
pp. 1283-1288 ◽  
Author(s):  
M. Borghetti ◽  
G. G. Vendramin ◽  
R. Giannini
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Specific Leaf Area ◽  
Leaf Age ◽  
Douglas Fir ◽  
Leaf Biomass ◽  
Normal Curve ◽  
Area Index ◽  
Area Distribution ◽  
Leaf Area Distribution

The spatial distribution of specific leaf area and leaf area index of needles in different age classes has been investigated in a young and unthinned Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) plantation in Central Italy through the destructive analysis of 12 trees sampled in four diameter size classes. Specific leaf area decreased with leaf age and from crown base to apex. A clear interaction between the effects of age and position on specific leaf area was demonstrated. For the whole canopy the vertical distribution of leaf area was well fitted by a normal curve equation, which explained 97% of the variation. The midpoint of the leaf area distribution, estimated as a parameter of the normal curve, was found to be 1.2 m below the mean canopy depth. The standard deviation of leaf area with respect to height was 16.4%. The midpoint of leaf area distribution decreased as leaf age increased and increased as diameter size class increased. Strong and significant linear relationships were found between leaf biomass, leaf area, sapwood area, and diameter at breast height.

Vertical leaf area distribution, light transmittance, and application of the Beer–Lambert Law in four mature hardwood stands in the southern Appalachians

1995 ◽  
Vol 25 (6) ◽  
pp. 1036-1043 ◽  
Author(s):  
James M. Vose ◽  
Barton D. Clinton ◽  
Neal H. Sullivan ◽  
Paul V. Bolstad
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Independent Set ◽  
Light Transmittance ◽  
Litter Fall ◽  
Validation Data ◽  
Area Index ◽  
Vertical Leaf ◽  
Area Distribution ◽  
Leaf Area Distribution

We quantified stand leaf area index and vertical leaf area distribution, and developed canopy extinction coefficients (k), in four mature hardwood stands. Leaf area index, calculated from litter fall and specific leaf area (c2•g−1), ranged from 4.3 to 5.4 m2•m−2. In three of the four stands, leaf area was distributed in the upper canopy. In the other stand, leaf area was uniformly distributed throughout the canopy. Variation in vertical leaf area distribution was related to the size and density of upper and lower canopy trees. Light transmittance through the canopies followed the Beer–Lambert Law, and k values ranged from 0.53 to 0.67. Application of these k values to an independent set of five hardwood stands with validation data for light transmittance and litter-fall leaf area index yielded variable results. For example, at k = 0.53, calculated leaf area index was within ± 10% of litter-fall estimates for three of the five sites, but from −35 to + 85% different for two other sites. Averaged across all validation sites, litter-fall leaf area index and Beer-Lambert leaf area index predictions were in much closer agreement ( ± 7 to ± 15%).

Comparison of Methods of Estimating Leaf-Area Index In Old-Growth Douglas-Fir

Ecology ◽  
1986 ◽  
Vol 67 (4) ◽  
pp. 975-979 ◽  
Author(s):  
J. D. Marshall ◽  
R. H. Waring
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Douglas Fir ◽  
Comparison Of Methods ◽  
Old Growth ◽  
Area Index

scholarly journals A new method for estimating the leaf area index of cucumber and tomato plants

2003 ◽  
Vol 21 (4) ◽  
pp. 666-669 ◽  
Author(s):  
Flávio Favaro Blanco ◽  
Marcos Vinícius Folegatti
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Area Measurement ◽  
Quadratic Model ◽  
Regression Equations ◽  
Area Index ◽  
Tomato Plants ◽  
Potted Plants ◽  
Growing Period ◽  
Area Distribution

Non-destructive methods of leaf area measurement are useful for small plant populations, such as experiments with potted plants, and allow the measurement of the same plant several times during the growing period. A methodology was developed to estimate the leaf area index (LAI) of cucumber and tomato plants through the evaluation of the leaf area distribution pattern (LADP) of the plants and the relative height of the leaves in the plants. Plant and leaf height, as well as the length and width of all leaves were measured and the area of some leaves was determined by a digital area meter. The obtained regression equations were used to estimate the leaf area for all relative heights along the plant. The LADP adjusted to a quadratic model for both crops and LAI were estimated by measuring the length and width of the leaves located at the relative heights representing the mean leaf area of the plants. The LAI estimations presented high precision and accuracy when the proposed methodology was used resulting in time and effort savings and being useful for both crops.

scholarly journals Specific leaf area and leaf area index in developing stands of Fagus sylvatica L. and Picea abies Karst.

2016 ◽  
Vol 364 ◽  
pp. 52-59 ◽  
Author(s):  
Bohdan Konôpka ◽  
Jozef Pajtík ◽  
Róbert Marušák ◽  
Michal Bošeľa ◽  
Martin Lukac
Keyword(s):  
Picea Abies ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Fagus Sylvatica ◽  
Specific Leaf Area ◽  
Area Index ◽  
Fagus Sylvatica L

scholarly journals Inferring Amazon leaf demography from satellite observations of leaf area index

2011 ◽  
Vol 8 (5) ◽  
pp. 10389-10421 ◽  
Author(s):  
S. Caldararu ◽  
P. I. Palmer ◽  
D. W. Purves
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Land Surface ◽  
Amazon Basin ◽  
Leaf Age ◽  
Leaf Phenology ◽  
Spatial And Temporal Variability ◽  
Demographic Model ◽  
Area Index ◽  
Starting Point

Abstract. Seasonal and year-to-year variations in leaf cover imprint significant spatial and temporal variability on biogeochemical cycles, and affect land-surface properties related to climate. We develop a demographic model of leaf phenology based on the hypothesis that trees seek an optimal Leaf Area Index (LAI) as a function of available light and soil water, and fitted it to spaceborne observations of LAI over the Amazon Basin, 2001–2005. We find the model reproduces the spatial and temporal LAI distribution whilst also predicting geographic variation in leaf age from the basin center (2.1 ± 0.2 yr), through to the lowest values over the deciduous Eastern Amazon (6 ± 2 months). The model explains the observed increase in LAI during the dry season as a net addition of leaves in response to increased solar radiation. We anticipate our work to be a starting point from which to develop better descriptions of leaf phenology to incorporate into more sophisticated earth system models.

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