Applicability of non-destructive substitutes for leaf area in different stands of Norway spruce (Picea abies L. Karst.) focusing on traditional forest crown measures

Laubhann, D.; Eckmüllner, Otto; Sterba, Hubert

doi:10.1016/j.foreco.2010.07.048

Cited by 20 publications

(31 citation statements)

References 30 publications

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“…In most of the previous studies, the correlation between the leaf area and the diameter at breast height was investigated (López-Serrano et al 2000;Turner et al 2000;Law et al 2001;Adl 2007;Arias et al 2007;Pokorný, Tomášková 2007;Calvo-Alvarado et al 2008;Babaei-Kafaki et al 2009), and less attention was devoted to the tree's crown-related parameters (Laubhann et al 2010;Vyas et al 2010). But, with the consideration of specific conditions of our investigated area, which is under traditional management, besides investigating other parameters, we also directed our attention to the crown-related parameters, particularly the crown volume.…”

Section: Resultsmentioning

confidence: 99%

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

Khosravi¹,

Namiranian²,

Ghazanfari³

et al. 2012

J. For. Sci.

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AbStrAct: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 (r 2 = 0.65). The easily measured tree parameters such as diameter at breast height did not show a high correlation with leaf area (r 2 = 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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Section: Resultsmentioning

confidence: 99%

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

Khosravi¹,

Namiranian²,

Ghazanfari³

et al. 2012

J. For. Sci.

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“…Considering the results of leaf area predictions for sugar maple and yellow birch together (Tables and ), both CSA and crown width have similar predictive abilities, which were higher than those of dyeing wood disks that were sampled at 1 m and approached those associated with ERT. Accordingly, crown surface area was successfully used as a leaf area estimator for various tree species (Gspaltl & Sterba, ; Laubhann et al, ; Mäkelä & Albrektson, ; Raulier & Ung, ). As previously observed by Laubhann et al (), both the slope and the power parameter values (Equation ) that are associated with CSA were near unity, which indicates a proportionality relationship between tree leaf area and CSA.…”

Section: Discussionmentioning

confidence: 99%

“…Accordingly, crown surface area was successfully used as a leaf area estimator for various tree species (Gspaltl & Sterba, ; Laubhann et al, ; Mäkelä & Albrektson, ; Raulier & Ung, ). As previously observed by Laubhann et al (), both the slope and the power parameter values (Equation ) that are associated with CSA were near unity, which indicates a proportionality relationship between tree leaf area and CSA. Consequently, if ERT measurements are unavailable, CSA and crown width are possible substitutes for estimating leaf area of sugar maple and yellow birch trees.…”

Section: Discussionmentioning

confidence: 99%

“…For example, tree sapwood area that has been determined at a given stem height is required to estimate whole‐tree transpiration from data that are collected with a point sap flow system (e.g., Granier, ; Wang, Guan, Guyot, Simmons, & Lockington, ). Also, sapwood area is frequently used as a tree‐level predictor of leaf area for many tree species (e.g., Gilmore, Seymour, & Maguire, ; Laubhann, Eckmüllner, & Sterba, ; Waring, Schroeder, & Oren, ) in accordance with the pipe model theory (Shinozaki, Yoda, Hozumi, & Kira, ). The resulting leaf area estimate can then be used for modelling several processes, such as canopy evapotranspiration, interception, and photosynthesis (Waring & Running, ).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating electrical resistivity tomography and crown surface area to estimate leaf area of sugar maple and yellow birch

et al. 2018

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Sapwood area is an important parameter for estimating transpiration at whole‐tree and watershed scales, given that it is used for scaling up point sap flow measurements. However, its determination may be difficult, particularly for large‐diameter trees of diffuse‐porous, broad‐leaved species. By delineating only the highly conductive sapwood, electrical resistivity tomography (ERT) may be more appropriate than sapwood dyeing for estimating tree sapwood area. We compared sapwood area measurements made with ERT with those that were obtained from wood dyeing, assuming that the more adequate measure was that which was best correlated with tree leaf area. To achieve this objective, we sampled 31 sugar maple (Acer saccharum Marsh.) and 20 yellow birch (Betula alleghaniensis Britt.) trees covering a large range of tree diameters and leaf areas from one site located in eastern Canada. Also, 79 sugar maple trees were sampled in two other sites to document the estimation of tree leaf area over a large territory. The sapwood area that was determined from ERT appeared to be the best method for scaling up point sap flow measurements to whole‐tree transpiration. The predictive ability of ERT was particularly greater than that of wood dyeing when they were both measured at 1 m. If the objective is to estimate tree leaf area rather than sapwood area, the crown surface area would provide a useful substitute for the ERT method because it is rapid and easy to measure while serving a robust predictor applicable over a large territory.

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“…Therefore, generally a limited number of trees are sampled, allometric equations are parameterized, and used for the other trees in the stand (e.g. Ledermann & Neumann 2006, Hietz et al 2010, Laubhann et al 2010, Gspaltl & Sterba 2011. Across the environmental gradients, LAI estimated by direct methods have been observed to be more accurate compared to the indirect methods (optical measurements) (Khan et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Assessment of allometric models for leaf area index estimation of Tectona grandis

Chaturvedi¹,

Singh²,

Singh³

et al. 2017

Trop. Plant Res.

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Abstract:We developed allometric models for accurate estimation of Tectona grandis (teak) leaf area index (LAI), for different stem diameter-classes (D-classes). In this study, we harvested teak trees in the tropical dry region of India in the ten stem diameter classes and measured LAI, and developed regression models for the non-destructive estimation of LAI with the help of wood density (ρ), diameter at breast height (D) and plant height (H). Models used for the prediction of biomass of tree components were of the form, linear, logistic, Gompertz and Chapman. Among the four models, non-linear models were more efficient compared to the linear model. We observed more than 60% variability in the LAI, explained by non-linear regression models. The models including ρ and D had greater R 2 and lower standard error of estimate. Our study detected logistic models more appropriate for broad diameter range and Gompertz models for small D-classes. The regression models developed in our study can be applied separately for the ten D-classes, and this could minimize the error occurring during indirect estimation of teak LAI.

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Applicability of non-destructive substitutes for leaf area in different stands of Norway spruce (Picea abies L. Karst.) focusing on traditional forest crown measures

Cited by 20 publications

References 30 publications

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

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

Evaluating electrical resistivity tomography and crown surface area to estimate leaf area of sugar maple and yellow birch

Assessment of allometric models for leaf area index estimation of Tectona grandis

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