LEAF AREA OF Erythrina velutina Willd. (FABACEAE) THROUGH ALLOMETRIC EQUATIONS

ABSTRACT Leaf area index (LAI) is an important parameter controlling many biological and physiological processes associated with vegetation on the Earth's surface, such as photosynthesis, respiration, transpiration, carbon and nutrient cycle and rainfall interception. LAI can be measured indirectly by sunfleck ceptometers in an easy and non-destructive way but this practical methodology tends to underestimated when measured by these instruments. Trying to correct this underestimation, some previous studies heave proposed the multiplication of the observed LAI value by a constant correction factor. The assumption of this work is LAI obtained from the allometric equations are not so problematic and can be used as a reference LAI to develop a new methodology to correct the ceptometer one. This new methodology indicates that the bias (the difference between the ceptometer and the reference LAI) is estimated as a function of the basal area per unit ground area and that bias is summed to the measured value. This study has proved that while the measured Pinus LAI needs a correction, there is no need for that correction for the Eucalyptus LAI. However, even for this last specie the proposed methodology gives closer estimations to the real LAI values.

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FoliageߝSapwood Area Relationships for Balsam Fir in North-Central Minnesota

Northern Journal of Applied Forestry ◽

10.1093/njaf/22.3.203 ◽

2005 ◽

Vol 22 (3) ◽

pp. 203-210 ◽

Cited By ~ 3

Author(s):

Daniel W. Gilmore ◽

Eric K. Zenner

Keyword(s):

Leaf Area ◽

Abies Balsamea ◽

Allometric Equations ◽

Balsam Fir ◽

Tree Level ◽

Allometric Relationships ◽

Sapwood Area ◽

North Central ◽

Model Form ◽

Crown Biomass

Abstract Leaf area is an important determinant of plant productivity. Because foliage is difficult to measure directly, allometric relationships often are used to predict branch-level and tree-level attributes such as total mass, needle mass, crown biomass, and projected leaf area. Two modeling approaches (i.e., the “crown weighing” and the “branch summation” approach) and two model forms (i.e., a nonlinear model form and a linear logarithmic model form) have generally been used to develop allometric relationships. It is unclear, however, whether these approaches result in similar predictions, which of these model forms provides us with the better predictions, and whether allometric equations developed for the same tree species in one region can be safely applied in another region. To investigate these questions, allometric equations to predict branch-level attributes (mass and leaf area) were constructed for balsam fir (Abies balsamea (L.) Mill.) in Minnesota. The “branch summation” approach was used to construct equations to predict crown biomass and projected leaf area from sapwood area, dbh, and crown length. These predictions were compared to those from the crown weighing approach. No statistically significant differences were detected. Results also indicated that the logarithmic form of the allometric model was the model of choice over the nonlinear form. Furthermore, branch-level and tree-level equations developed for balsam fir from north-central Minnesota differed from those of other regions within the range of data for the trees sampled. This reinforces the need for developing localized allometric equations.North. J. Appl. For. 22(3):203–210.

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Generalized biomass and leaf area allometric equations for European tree species incorporating stand structure, tree age and climate

Forest Ecology and Management ◽

10.1016/j.foreco.2017.04.011 ◽

2017 ◽

Vol 396 ◽

pp. 160-175 ◽

Cited By ~ 81

Author(s):

David I. Forrester ◽

I.H.H. Tachauer ◽

Peter Annighoefer ◽

Ignacio Barbeito ◽

Hans Pretzsch ◽

...

Keyword(s):

Leaf Area ◽

Tree Species ◽

Stand Structure ◽

Allometric Equations ◽

Tree Age ◽

Structure Tree

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Estimation of leaf area index and assessment of its allometric equations in oak forests: Northern Zagros, Iran

Journal of Forest Science ◽

10.17221/18/2011-jfs ◽

2012 ◽

Vol 58 (No. 3) ◽

pp. 116-122 ◽

Cited By ~ 2

Author(s):

S. Khosravi ◽

M. Namiranian ◽

H. Ghazanfari ◽

A. Shirvani

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Allometric Equations ◽

Oak Forests ◽

Biophysical Parameters ◽

Destructive Sampling ◽

Area Index ◽

Zagros Forests ◽

Crown Volume ◽

Oak Trees

The focus of the present study is the estimation of leaf area index (LAI) and the assessment of allometric equations for predicting the leaf area of Lebanon oaks (Quercus libani Oliv.) in Iran’s northern Zagros forests. To that end, 50 oak trees were randomly selected and their biophysical parameters were measured. Then, on the basis of destructive sampling of the oak trees, their specific leaf area (SLA) and leaf area were measured. The results showed that SLA and LAI of the Lebanon oaks were 136.9 cm·g–1 and 1.99, respectively. Among all the parameters we measured, the crown volume exhibited the highest correlation with LAI (r2 = 0.65). The easily measured tree parameters such as diameter at breast height did not show a high correlation with leaf area (r2 = 0.36). Our obtained moderate correlations in the allometric equations could be due to the fact that branches of these trees had been pollarded by the local people when the branches were only 3 or 4 years old; therefore, the natural structure of the crowns in these trees might have been damaged.

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Aboveground biomass and leaf area equations for three common tree species of Hyrcanian temperate forests in northern Iran

Botany ◽

10.1139/cjb-2015-0078 ◽

2015 ◽

Vol 93 (10) ◽

pp. 663-670 ◽

Cited By ~ 4

Author(s):

Unes Shahrokhzadeh ◽

Hormoz Sohrabi ◽

Carolyn A. Copenheaver

Keyword(s):

Leaf Area ◽

Tree Species ◽

Model Comparison ◽

Biomass Accumulation ◽

Information Criterion ◽

Allometric Equations ◽

Northern Iran ◽

Hyrcanian Forests ◽

Fagus Orientalis Lipsky ◽

Biomass Equations

Biomass equations are essential for evaluating the climate change mitigation potential of forests through biomass accumulation and carbon sequestration. In northern Iran’s Hyrcanian forests, topographic relief is so extreme that developing biomass equations from destructive sampling of trees is physically challenging. In this paper, allometric biomass and leaf area equations were developed for three common Hyrcanian tree species: Oriental beech (Fagus orientalis Lipsky), chestnut-leaved oak (Quercus castaneifolia C.A.Mey.), and common hornbeam (Carpinus betulus L.). A total of 30 trees, ranging in diameter at breast height (DBH) from 21 to 90 cm, were felled and stems, branches, twigs, and leaves from each tree were measured and weighed. Allometric equations for estimating biomass from DBH and height and their combinations were derived. Model comparison and selection were based on R2, Akaike’s information criterion (AIC), prediction error sums of squares, model standard error estimate (SEE), ΔAIC, and correction factor. The best-fit equations had adjusted R2values between 0.81 to 0.98 and SEE values between 0.351 and 0.681. The allometric equations provide improved methods for predicting forest biomass and carbon storage in Hyrcanian forests from standard forestry measurements, which means these equations may be applied to historical and new forest data.

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Allometric equations for estimating leaf area index (LAI) of two important tropical species (Tectona grandis and Dendrocalamus strictus)

Journal of Forestry Research ◽

10.1007/s11676-010-0032-0 ◽

2010 ◽

Vol 21 (2) ◽

pp. 197-200 ◽

Cited By ~ 12

Author(s):

Dhaval Vyas ◽

Nirav Mehta ◽

J. Dinakaran ◽

N. S. R. Krishnayya

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Tectona Grandis ◽

Allometric Equations ◽

Tropical Species ◽

Area Index ◽

Dendrocalamus Strictus

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Total biomass and biomass production of Pinusroxburghii trees growing in all-aged natural forests

Canadian Journal of Forest Research ◽

10.1139/x82-096 ◽

1982 ◽

Vol 12 (3) ◽

pp. 632-640 ◽

Cited By ~ 16

Author(s):

O. P. Chaturvedi ◽

J. S. Singh

Keyword(s):

Leaf Area ◽

Fine Roots ◽

Tree Height ◽

Dry Weight ◽

Allometric Equations ◽

Total Biomass ◽

Natural Forests ◽

Individual Tree ◽

Sample Tree ◽

Independent Variable

Detailed morphometric measurements for individual trees in an age series (16–128 years) of P. roxburghii Sarg were carried out. The dry weight of each component of the tree increased with age and total aboveground biomass in a 128-year-old tree was 1939 kg. Satisfactory allometric equations relating biomass of different components with circumference at breast height (cbh) and square diameter × height (d2h) were developed. The error in estimates was lower when the independent variable included tree height. Within an individual tree the biomass of bole increased downwards and the canopy of the tree was concentrated towards the upper part of the tree. The intercomponent biomass relationships were also significant, and the resulting allometric equations carried less error than the equations using cbh as the independent variable. The cumulative dry matter produced by a sample tree within its lifetime was much greater than the respective current biomass. The largest proportion of the production was accounted for by the tree crown and fine roots, while the largest biomass resided in the bole. The maximum current biomass increment was attained at the age of 39 years. The mean annual production increased with age except for bole and root system where it first increased and then attained a constant value after 61 years. The relationships of bole and shoot production per annum to total leaf area and fine roots for different age periods indicated a significant spurt of activity during 36–39 years and a secondary limited spurt during 97–103 years in the life history. The production of nonphotosynthetic components was significantly related with the leaf area and with foliage production.

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Validation of an Integrated Estimation of Loblolly Pine (Pinus taeda L.) Leaf Area Index (LAI) Using Two Indirect Optical Methods in the Southeastern United States

Southern Journal of Applied Forestry ◽

10.1093/sjaf/32.3.101 ◽

2008 ◽

Vol 32 (3) ◽

pp. 101-110 ◽

Cited By ~ 11

Author(s):

John S. Iiames ◽

Russell Congalton ◽

Andrew Pilant ◽

Timothy Lewis

Keyword(s):

United States ◽

Leaf Area Index ◽

Leaf Area ◽

Pinus Taeda ◽

Loblolly Pine ◽

Southeastern United States ◽

Area Ratio ◽

Allometric Equations ◽

Area Index ◽

Whole Tree

Abstract Quality assessment of satellite-derived leaf area index (LAI) products requires appropriate ground measurements for validation. Since the National Aeronautics and Space Administration launch of Terra (1999) and Aqua (2001), 1-km, 8-day composited retrievals of LAI have been produced for six biome classes worldwide. The evergreen needle leaf biome has been examined at numerous validation sites, but the dominant commercial species in the southeastern United States, loblolly pine (Pinus taeda), has not been investigated. The objective of this research was to evaluate an in situ optical LAI estimation technique combining measurements from the Tracing Radiation and Architecture of Canopies (TRAC) optical sensor and digital hemispherical photography (DHP) in the southeastern US P.taeda forests. Stand-level LAI estimated from allometric regression equations developed from whole-tree harvest data were compared to TRAC–DHP optical LAI estimates at a study site located in the North Carolina Sandhills Region. Within-shoot clumping, (i.e., the needle-to-shoot area ratio [γE]) was estimated at 1.21 and fell within the range of previously reported values for coniferous species (1.2–2.1). The woody-to-total area ratio (α = 0.31) was within the range of other published results (0.11–0.34). Overall, the indirect optical TRAC–DHP method of determining LAI was similar to LAI estimates that had been derived from allometric equations from whole-tree harvests. The TRAC–DHP yielded a value 0.14 LAI units below that retrieved from stand-level whole-tree harvest allometric equations. DHP alone yielded the best LAI estimate, a 0.04 LAI unit differential compared with the same allometrically derived LAI.

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