iForest - Biogeosciences and Forestry

iForest - Biogeosciences and Forestry

Allometric models for the estimation of foliage area and biomass from stem metrics in black locust

iForest - Biogeosciences and Forestry, Volume 15, Issue 4, Pages 281-288 (2022)
doi: https://doi.org/10.3832/ifor3939-015
Published: Jul 27, 2022 - Copyright © 2022 SISEF

Research Articles

Allometric equations relating trees’ vascular system and other stem metrics with foliage area and mass are important to estimate their growth, carbon stocks and interactions with abiotic environment in terms of carbon and water balance. In this study we focused on Robinia pseudoacacia restoration plantations in Greece and aimed at establishing species-specific models to predict foliage leaf area and biomass based on stem traits. In particular, we evaluated stem cross-sectional areas of sapwood, current sapwood and total stem (sapwood and heartwood), measured at different tree heights, as predictors of leaf area and mass, based on the pipe model theory. Furthermore, we assessed the variation in the ratios of leaf area to different stem cross-sectional areas across the tree profile and we examined the relationships of diameter at breast height (DBH) with diameter at the base of the live crown and with leaf area. Taking into account the trees’ DBH distribution according to the plantations’ inventory, 25 black locust individuals were destructively sampled and the relationships among the studied traits were analyzed by means of multiple and simple linear regression at p<0.001. Foliage dry mass and area were best predicted by total stem cross-sectional area at mid-bole and stump height (R2=0.81), followed by current sapwood area at stump height (R2=0.74), which outperformed the most often used sapwood area (R2=0.70). DBH was also reliably estimating tree leaf area (R2=0.72) but was less precise, compared to total cross-sectional area, while it was a useful proxy of diameter at the base of the live crown (R2=0.80). In line with the pipe model theory, the ratio of leaf area to total cross-sectional area declined across the canopy basipetally, but only when total cross-sectional area was considered. Deviations from the sapwood-foliage functions described by the pipe model theory may be due to the small sample size and the variability in tree size in such developing restoration plantations. The produced species-specific relationships between stem and foliage metrics may be a useful tool to predict the carbon sequestration and climate change adaptation potential of black locust restoration plantations, which are often characterized by harsh site conditions.

Sapwood Area, Current Sapwood Area, Total Cross-sectional Area, Diameter at Breast Height, Diameter at Live Crown Base, Leaf Area, Foliage Dry Weight, Robinia pseudoacacia


In a broad sense, allometry describes how the characteristics of living organisms change with size ([51]) and it refers to the analysis of logarithmic-transformed size data by means of linear regression ([42]). Allometric models are widely needed in forestry for the estimation of tree dimensions that are difficult to measure directly, such as crown leaf area and mass, above-ground biomass and others, based on easily assessed traits like diameter at breast height. These allometric equations are typically built through the destructive sampling of trees that have been felled to measure the desired parameters. Allometric relationships to estimate wood and foliage biomass are of high priority for reliable ground-based monitoring of carbon storage in forest ecosystems, for assessing their climate change mitigation potential and applying forest management resilient to climate change ([9], [12], [18], [14]).

In addition, allometric models for estimating canopy leaf area are vital, given the direct connection of leaf area to photosynthesis, transpiration and respiration and, thus, to the productivity and water balance of forest stands ([3]). Relationships between trees’ hydraulic architecture and their physiological processes are based on the principle that water flow within the tree takes place through an assembly of pipes and is controlled by physical processes ([57]). The conductive tissue of a tree has been coupled to its photosynthetic area and biomass by the Pipe Model Theory (PMT - [49], [50]) supporting that a given amount of leaves is associated with a constant amount of downward continuation of pipes that supply the leaves with water and nutrients. As it has been comprehensively reviewed by Lehnebach et al. ([25]), PMT has offered a conceptual framework to explain biomass allocation to the foliar versus stem compartments and to estimate a plant’s or stand’s foliar area or mass. Several allometric relationships between foliar and root dimensions and sapwood area are based on PMT ([58], [30], [10], [12], [13], [7]). However, many variations from the theory’s basic properties were revealed when tested for a range of species under varying growth regimes. Therefore, the ratio of foliage area to sapwood area has been found to change within a forest tree species with developmental stage, site microclimate and quality, species-mixture, stand density and applied silviculture ([38], [25] and literature therein). Although allometric models relating forest trees’ leaf area and dry weight to their vascular system are essential for forest management, carbon stocks monitoring and forest ecosystems ecological research, they are scarce as their development and testing depends on destructively sampled data, which are laborious and time-consuming to acquire. Thus, studies that develop allometric functions to estimate foliage area and mass by tree diameter or sapwood area which can be measured with non-destructive measures are valuable. In this context, we focused on the calibration of such relationships for Robinia pseudoacacia L. (Black locust), a forest tree extensively used for restoration purposes.

Black locust is a hardwood tree species, native to North America, which appeared in Europe in the beginning of the 17th century where is considered as alien and invasive ([59]). However, it is naturalized in several Mediterranean and temperate regions ([59], [36]). Black locust has wood of high natural strength, used for several purposes such as fuel, mine timbers, fence posts, railroad poles, boards, timber ([15]). Most importantly, black locust is extensively used for carbon sequestration and restoration of heavily degraded lands ([2]) in several countries, such as China ([23]), Germany ([6]), Greece ([54]), Italy ([33]) and others, due to its beneficial traits. R. pseudoacacia has low nutrient requirements as it is an N2-fixing woody legume ([27], [2]), it is fast-growing and drought-tolerant ([8], [59], [36], [37]) and it spreads rapidly by root-suckers ([11]). Black locust grows intensively in height for the first 10-15 years and can reach mean or dominant heights of over 20 m at 20 years ([36]). The species also exhibits rapid diameter growth of 3-4 cm in the first years under optimal conditions, while the peak of diameter growth may be observed sooner than 20 years even at poor sites ([36]). For example, at a rehabilitated former lignite mining area in Germany, the biomass of black locust peaked at the age of 14 years ([22]).

Within the present study we aimed to establish and evaluate different relationships of tree foliage area and dry mass with xylem, sapwood and other stem metrics in R. pseudoacacia. Specifically, our objectives were to: (i) establish and evaluate species-specific allometric equations for R. pseudoacacia for the estimation of foliage leaf area and dry biomass based on the cross-sectional areas of sapwood, current sapwood and total stem (sapwood and heartwood) measured at different tree heights; (ii) assess the variability of the ratio of foliage area to stem cross-sectional areas across the tree profile; (iii) test whether diameter at breast height could be a reliable predictor of the leaf area and diameter at the base of the tree’s live crown.

  Materials and methods 

Study area

The study took place at the restoration plantations of R. pseudoacacia established for the rehabilitation of open-cast lignite mines of the Hellenic Public Power Corporation (HPPC) in NW Greece, which cover a total area of about 2,570 ha. The lignite center comprises two restoration sites, Amyntaio (788 ha; 40° 33′ 36″ - 40° 36′ 36″ N, 21° 37′ 12″ - 21° 41′ 24″ E) and Ptolemaida (1780 ha; 40° 23′ 24″ - 40° 30′ 36″ N, 21° 41′ 60″ - 21° 53′ 24″ E) with a distance of approximately 15 km among them (Fig. 1). The altitude of the two sites ranges from 530 to 950 m a.s.l. ([54]) and they both grow on depositions produced by the lignite mining activities of HPCC, which are characterized by high pH (7.9-8.2), due to high CaCO3 concentration, and low electrical conductivity. The texture and nutrient concentration of the substrate at three depths is presented in Tab. S1 (Supplementary material). Both plantations mainly consist of R. pseudoacacia, while some stands of Cupressus arizonica, Pinus nigra and Sparteum junceum are also included. The diameter at breast height (DBH) of the trees ranges from 1.4 to 22.3 cm and above-ground biomass ranges from 0.6 to 256.6 t ha-1, given that restoration of the mines was initiated in the ’80s and is still going on, resulting in variable age of the planted trees. More details on the characteristics of the study plantations are given by Spyroglou et al. ([54]). Tree height and DBH distribution are similar in both sites, with the exception of the lower DBH class (0-5 cm) where the tree frequency is higher in Ptolemaida, as the active planting process results in a higher number of young trees there (Fig. 2).

Fig. 1 - Location of the study area (lignite center of the Hellenic Public Power Corporation) in NW Greece, comprising the two black locust restoration plantations in Amyntaio and Ptolemaida (inner plots).

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Fig. 2 - Tree diameter at breast height (DBH - a) and height (b) distribution of the black locust plantations inventory for Amyntaio (left), Ptolemaida (center) and both sites together (right). Data are obtained from 214 inventory plots. The dashed blue lines indicate the mean DBH and height of the trees.

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The climatic conditions are quite similar at both sites, according to the HPPC’s meteorological stations in Ptolemaida (40° 28′ 03.8″ N, 21° 44′ 48.7″ E; distance from the plantations 800-7000 m) and Amyntaio (40° 36′ 23.1″ N, 21° 39′ 00.9″ E; distance from the plantations 1200-5000 m). The mean annual air temperature is 13 °C, while mean annual precipitation is 521 mm in Ptolemaida and 528 mm in Amyntaio. According to the ombrothermic diagrams of both sites, a xerothermic period is observed from July to August (see Fig. S1 in Supplementary material).

Tree harvest and biometric traits determination

Given the similar characteristics of the two restoration plantations of HPPC (climate, vegetation, planting history, substrate, tree height and DBH distribution), black locust trees from both sites were destructively sampled (10 from Amyntaio and 15 from Ptolemaida, considering the larger area of the latter) and pooled together. In total 25 R. pseudoacacia trees were destructively sampled during the growing period of 2019 and 2020. The DBH distribution of the plantations (Fig. 2, Fig. S2 in Supplementary material) was taken into account for the selection of the trees to be harvested. However, although the mean arithmetic DBH was within the 5-10 cm class, trees with DBH of the next class (10-15 cm) were also included to avoid building an allometric model that would underestimate above-ground biomass by depending solely on the smallest DBH class. The number of harvested trees with DBH > 15 cm was small, as these were less frequent (Fig. 2) and in most cases not easily accessible. The selected trees were healthy, not suppressed individuals, without apparent tree defects, such as being forked, cracked, bent or crooked.

For each selected tree, measurements of DBH (with a diameter measuring tape) and height/length (with Spencer loggers tape) were performed. After harvest, the determined biometrical traits comprised diameter at stump height (at 0.3 m height), length and diameter at the middle of the stem (mid-bole), the base of the live crown, at 1/3 and 2/3 of the crown. Stem disks, about 10 cm thick, were sampled at all above-mentioned stem sections for the estimation of cross-sectional areas (see below). The fresh weight of the whole crown, separated into thirds was determined in the field using an electronic balance with 100 g accuracy. Dead and epicormic branches were weighed separately from the live crown. The whole crown was taken to the laboratory, foliage was separated from branches and pods and all parts’ dry weight was determined after they were oven-dried at 80 °C until constant weight was reached. In order to estimate foliage leaf area, 30 leaves from the upper, middle and lower crown (90 leaves in total) were collected in the field, put in plastic bags in a cool box and transferred to the lab for leaf area and dry weight determination. Based on the collected leaves’ ratio of dry weight to leaf area, the respective area of foliage at the three parts of the crown, as well as of the total crown, were calculated.

Leaf area and area of stem compartments

The collected leaves and stem discs were scanned (Epson 11000XL®, resolution 200 dpi) to calculate the leaf area (LA), the area of sapwood (SAPA), current sapwood (CSA) and total cross-sectional area (STA) of the stem. The current sapwood area was defined as the cross-sectional area of the penultimate growth ring and the early wood portion of the current year’s growth ring, according to Meadows & Hodges ([31]). After digitizing the leaves, the image files were used to calculate the area of each leaf with the software LAFORE (Leaf Area FOR Everyone - [26]). The image files of stem discs were used to calculate their above-mentioned cross-sectional areas with ImageJ ([47]).

Data analysis

For all variables, the Levene test was used to confirm the homogeneity of variances and the suitability of parametric tests to identify the homogeneous groups between the different height sections along the stem profile. An ANOVA was performed to check for statistically significant differences between the height sections along the stem profile for each of the independent variables (sapwood area, current sapwood area, total cross-sectional area of the stem). Tukey’s HSD test was used to investigate homogeneous groups. Simple linear regression was applied to identify the relationships between either leaf area (LA) or foliage dry weight (FDW) and the independent variables. Multiple linear regression analyses were also run to test whether the inclusion of additional variables, such as age at the breast height, total tree height, crown length (CrLen) and crown ratio (CR) in the linear models increased the accuracy of estimation of LA and FDW. Statistical analysis was conducted with R programming language ([43]).


Descriptive characteristics of felled trees

Mean age of the harvested trees was 14 years, ranging from 4 to 25 years, reflecting the tree age variation of the restoration plantations of HPPC. Mean height and DBH of the trees were 11.93 m (range: 6.10-17.80) and 11.33 cm (range: 4.30-22.10), respectively. The distribution of the DBH and height classes of the felled trees is shown in Fig. S2 (Supplementary material).

The mean sapwood area, current sapwood area and total cross-sectional area were 30 cm2 (10.28-81.64), 9.07 cm2 (2.71-24.20) and 83.81 cm2 (10.28-272.68), respectively. The analysis of the crown showed that mean LA was 25.20 m2 (7.8-101) and mean FDW was 1.87 Kg (0.6-8.1). The average CrLen was 5.15 m (3.35-8.10), while the mean CR was 0.45 (0.30-0.76).

Relationships between crown traits and cross-sectional areas of the stem

The multiple linear regression analyses for the estimation of foliage area and mass, based on the combination of several independent factors, resulted in models of lower accuracy than the simple linear regression ones (data not shown). Thus, we focused on simple linear regression analyses.

The regression models predicting LA and FDW from the different stem cross-sectional areas along the tree profile are presented in Tab. S2 (Supplementary material). Among these, the strongest models, having the higher R2 coefficients and smaller MSE values, are depicted in Fig. 3 and Fig. 4 for LA and FDW, respectively. STA at middle bole was the best estimator of both LA and FDW, as indicated by the lowest standard errors and the highest R2 coefficients (Fig. 3A, Fig. 4A) among all tested models. The next best estimator of LA and FDW was the CSA at stump height (Fig. 3B, Fig. 4B), followed by SAPA at stump height (Fig. 3C) and at 1/3 of the crown height (Fig. 4C).

Fig. 3 - Linear relationships between leaf area (LA) with STA at mid bole (A), CSA at stump height (B) and SAPA at stump height (C). The regression models, their coefficients (adjusted R2) and standard errors (RMSE) are presented (n=25).

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Fig. 4 - Linear relationships between foliage dry weight (FDW) and STA at mid bole (A), CSA at stump height (B) and SAPA at 1/3 of crown height (C). The regression models, their coefficients (R2) and standard errors (RMSE) are presented (n=25).

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Ratios of leaf area to cross-sectional areas of the stem

LA/STA differed significantly among the different section heights across the tree profile (F = 7.39, p<0.001) and it presented a constant decreasing pattern from the crown to stump height (Fig. 5A). LA/CSA also differed significantly among section heights (F = 3.6, p<0.01 - Fig. 5B) and it was the highest at the base of the crown and at middle bole. Finally, there were no statistically significant differences in the LA/SAPA ratio between the section heights (F = 1.91, p = 0.095). The ratio only tended to be higher at the base of the live crown and at stump height (Fig. 5C).

Fig. 5 - Ratios of LA to SAPA (A), to CSA (B) and to STA (C) at different height sections of stem and crown. The points and bars represent the mean ± standard error (n=25). Two means are significantly different (p<0.05) when they share no common letter.

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Relationships between leaf area, DBH and diameter at the base of the live crown

The square of DBH was the best estimator of LA having the highest R2 (0.72) and the lowest SE (11.7 - Fig. 6A) among all tested diameters at different heights (see Tab. S3 in Supplementary material). Moreover, Dhlc2 could be reliably determined by DBH2, as indicated by the strong relationship shown in Fig. 6B.

Fig. 6 - Linear relationships between (A) LA and DBH² and (B) Dhlc2 and DBH² (n=25).

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The estimation of forest trees’ leaf area is important for the assessment of their productivity and interaction with the environment, as foliage is actively involved in tree and ecosystem carbon and water balance ([3]). Furthermore, foliage reflects the amount of trees’ assimilatory tissue and is the main driver of C storage in forests. Thus, assessing foliage dry weight is crucial for the calculation of carbon stocks in this pool. However, the accurate determination of these foliage traits in the canopy of tall forest trees is often difficult and rather laborious. Therefore, the estimation of tree foliage leaf area and dry weight based on different stem dimensions is a helpful tool for forest management and ecosystem research. In this study, we evaluated various linear allometric models relating stem’s cross-sectional areas (total sapwood and heartwood area, sapwood area, current sapwood area) at different heights across the tree profile (stump height, DBH, middle bole, base of crown, 1/3 and 2/3 of crown), with the foliage area and dry mass of black locust (Robinia pseudoacacia L.). In addition, we tested the relationships of diameter at breast height with diameter at the base of the live crown, as well as with leaf area. We focused on this species, as it is extensively planted in several countries for the restoration and enhancement of carbon sequestration at heavily degraded sites ([27]).

We detected significant relationships between foliage area and sapwood area at breast height (Tab. S2 in Supplementary material), in line with literature. Foliage area has been commonly expressed as a function of sapwood area at breast height for several broadleaf forest trees, like cherrybark oak and green ash ([31]), eucalypts ([32]), European beech ([4]) and Coige or Dombey’s beech ([19]). Foliage biomass, on the other hand, has been estimated by sapwood area at different heights across the tree trunk in various forest species ([29], [34], [46]). However, in our study the best predictor of trees’ leaf area and dry mass was the total cross-sectional area at middle bole (Fig. 3, Fig. 4), in line with the findings of Spyroglou et al. ([53]) for Quercus frainetto.

Total cross-sectional area was strongly related to leaf area and dry mass also at the stump height (Fig. 3, Fig. 4; Tab. S2 in Supplementary material). The increase in xylem and sapwood area at the trees’ base, as indicated by the lowest ratios of leaf area to stem cross-sectional areas at stump height (Fig. 5A, Fig. 5C), may be attributed to a strong increase in ring area at the trunk base consistent to several studies reviewed by Lehnebach et al. ([25]). Across a European gradient, Petit et al. ([40]) also found that trees have a lower leaf area to sapwood area at the stem base compared to distal branches. Leaf area and dry biomass were closely coupled with total cross-sectional area at the trees’ base. The increase in STA at stump height can be attributed to the basal widening of xylem conduits ([1]), to ensure better mechanical support and resistance against bending ([24]) and higher water conductance and storage ([30]).

Following total cross-sectional area, current sapwood at stump height was also a reliable indicator of foliage area and dry mass (Fig. 3, Fig. 4; Tab. S2 in Supplementary material), indicating that the youngest vessels of black locust are more actively transferring water to the leaves, as similarly reported for the current sapwood area of Quercus robur L. ([60]) and Nothofagus dombeyi (Mirb.) Oerst. ([19]). In addition, legume species are reported to conduct water mostly in the outermost rings of sapwood ([45]); a response that may apply for the studied black locust which is also a legume. On the other hand, we found all cross-sectional areas at the base of the crown to be less appropriate for the prediction of leaf area, contrary to the findings of Gajardo-Caviedes et al. ([19]).

The well-established relationships between sapwood area and crown dimensions were the least strong in our study, compared to total stem cross-sectional area and current sapwood area. Several studies reviewed by Lehnebach et al. ([25]) concluded that sapwood area and its relation to leaf area varies with tree ontogenetic stage and size, site quality and other factors. Hence, it cannot be excluded that the different size of the sampled trees, due to the variation in age and size of the plantations because of the ongoing rehabilitation with black locust planting, may have influenced the strength of the relationship between sapwood area and foliage area or biomass. Furthermore, the deviations from PMT observed in our study, could be at least partially attributed to the relatively small number of sampled trees. Across six forested sites in the USA, Duncanson et al. ([17]) have shown that allometric parameters are sensitive to sample size and that small sample sizes affect the produced allometric functions. In regard to the potential role of edaphic traits on the relationship between sapwood area and foliage metrics, we believe this is of minor importance. Although all studied plantations were established on depositions created by the residuals of lignite excavation, some differences in substrate traits were, indeed, detected (CaCO3, organic matter, ammonium and nitrate content - Tab. S1 in Supplementary material). However, at least in regard to ammonium and nitrate contents, their effect on the relationship between the trees’ vascular system and their foliage area and mass is less probable, since black locust is N2-fixing and depends mostly on symbiotically fixed nitrogen, and less on other N sources ([27]).

The Pipe Model Theory predicts an increasing sapwood area downwards following the increase in foliage biomass/area towards the crown base and, subsequently, a constant sapwood area between crown and stem base ([25]). Sellin & Kupper ([48]) observed a similar variation of leaf to sapwood area within the crown of silver birch. However, in our study the change of the ratio of leaf area to sapwood area across the tree profile (Fig. 5C) was not in line with PMT. A clear decreasing pattern of the ratio from the top to the bottom of the crown was observed only when the total cross-sectional area of the trees was considered, but even in this case the ratio further decreased across the tree trunk basipetally (Fig. 5A). These deviations from PMT may be attributed to the young age of the studied black locust plantations or be site- and species-specific. Variations in the ratio of leaf area to sapwood area have been assessed by several studies, as this parameter is related to the strategy that different tree species adopt to couple leaf transpiration and carbon gain with xylem water transport ([40]). An increasing ratio of leaf area to sapwood area with tree height was reported by Phillips et al. ([41]) in Oregon white oak, while the opposite was observed in conifers ([30], [16]).

Apart from the reliability of stem cross-sectional areas for the estimation of foliage mass and area, we also evaluated the easily determined DBH as a predictor of the leaf area of black locust. A strong regression model was built to predict leaf area based on DBH (Fig. 6A), consistent to the reports for other broadleaves ([55], [52]) and conifers ([39], [20]). However, it is worth noticing that for the prediction of the leaf area of black locust, the model based on STA at middle bole (Fig. 4A) outperformed the one based on DBH (Fig. 6A) and should, thus, be preferred although it requires more laborious sampling.

Another important relationship between stem and crown dimensions is the one connecting DBH and diameter at the base of the live crown. According to the Pipe Model Theory ([49], [50]), Dhlc is a good predictor of total foliage area, as it is an index of the amount of leaves of the tree. Thus, diameter at the base of the crown can be an alternative indicator for the estimation of a tree’s foliage weight and area. However, as the direct measurement of Dhlc in high forest trees may also be difficult, it could be estimated based on its relationship to DBH. Indeed, Sumida et al. ([56]) supported that DBH is related to the diameter at the base of the live crown, based on 20-year data from Hinoki cypress (Chamaecyparis obtusa) stands. However, DBH has been related mostly to other crown traits, such as crown diameter and width, crown projected area and height of live crown base, in different forest species ([21], [5]), as well as in black locust ([35], [8], [44]). To our knowledge, the relationship between DBH and the diameter at the base of the live crown received little attention ([28]), but it has been verified also by our findings (Fig. 6B) and it may be a useful tool to predict Dhlc based on the easily measured DBH.


The estimation of trees’ foliage area and biomass is laborious, but crucial to assess forest ecosystems productivity and potential for climate change mitigation. A range of stem metrics have been evaluated for their strength in the prediction of foliage area and dry mass in black locust restoration plantations in Greece. Contrary to the often-used sapwood area, the total cross-sectional area and current sapwood area produced more accurate models for the estimation of these foliage traits. Diameter at breast height was also proven to be a reliable predictor of leaf area and diameter at the base of the live crown. The calibrated allometric models are species-specific and their replicability may be restricted by the particular edaphic conditions of the former lignite mines where the restoration plantations are established. In addition, the accuracy of the functions would benefit from a larger sample size which, on the other hand, is rather time and effort demanding. Future research should focus on the evaluation of the calibrated allometric relationships to other black locust plantations which are commonly established for the rehabilitation of regions that are heavily degraded by anthropogenic activities.

  List of abbreviations 

PMT: Pipe Model Theory; LA: Foliage Leaf Area (m2); FDW: Foliage Dry Weight (Kg); SAPA: Sapwood cross-sectional area (cm2); CSA: Current sapwood cross-sectional area (cm2); STA: Total stem (sapwood and heartwood) cross-sectional area (cm2); LA/SAPA: ratio of LA to SAPA; LA/CSA: ratio of LA to CSA; LA/STA: ratio of LA to STA; DBH: Diameter at breast height; Dhlc: Diameter at the base of the live crown; CrLen: Crown length; CR: Crown ratio.


We kindly acknowledge the Hellenic Public Power Corporation (HPPC) and, in particular Melina Andreadi, Marina Tentsoglidou, Aris Azas, Christos Papadopoulos and their teams, for the support with personnel and equipment during the field campaigns. We are also thankful to Konstantinos Tyraides for his assistance in field work and Georgios Xanthopoulos for contributing to lab processing of collected plant material.

GS and KR conceived and designed the study; SRT performed field and laboratory measurements; SRT and GS performed the statistical analyses; SRT, GS, MF, KR were involved in original draft preparation; MF, GS and SRT conducted review and editing; KR is responsible for funding acquisition and project administration.

This research was performed within the COFORMIT project “Contribution of the tree planted land of West Macedonia lignite center to protection of environment and to mitigation of climate change” (T1EDK-02521), which was financially supported by the Single RTDI state Aid Action Research - Create - Innovate funded by the Operational Program Competitiveness, Entrepreneurship and Innovation 2014-2020 (EPAnEK).


Anfodillo T, Petit G, Crivellaro A (2013). Axial conduit widening in woody species: a still neglected anatomical pattern. IAWA Journal 34: 352-364.
CrossRef | Gscholar
Annighöfer P, Mölder I, Zerbe S, Kawaletz H, Terwei A, Ammer C (2012). Biomass functions for the two alien species Prunus serotine Ehrh. and Robinia pseudoacacia L. in floodplain forests of Northern Italy. European Journal of Forest Research 131: 1619-1635.
CrossRef | Gscholar
Baldocchi DD, Wilson KB, Gu L (2002). How the environment, canopy structure and canopy physiological functioning influence carbon, water and energy fluxes of a temperate broad-leaved deciduous forest an assessment with the biophysical model CANOAK. Tree Physiology 22: 1065-1077.
CrossRef | Gscholar
Bartelink HH (1997). Allometric relationships for biomass and leaf area of beech (Fagus sylvatica L). Annals of Forest Science 54: 39-50.
CrossRef | Gscholar
Blanchard E, Birnbaum P, Ibanez T, Boutreux T, Antin C, Ploton P, Vincent G, Pouteau R, Vandrot H, Hequet V, Barbier N, Droissart V, Sonké B, Texier N, Kamdem N, Zebaze D, Libalah M, Couteron P (2016). Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas. Trees 30: 1953-1968.
CrossRef | Gscholar
Böhm C, Quinkenstein A, Freese D (2011). Yield prediction of young black locust (Robinia pseudoacacia L.) plantations for woody biomass production using allometric relations. Annals of Forest Research 54: 215-227.
Online | Gscholar
Caldwell BT, O’Hara KL (2017). Correlation of leaf area index to root biomass in Populus tremuloides Michx supports the pipe model theory. Journal of Biodiversity Management and Forestry 6: 4.
CrossRef | Gscholar
Carl C, Biber P, Landgraf D, Buras A, Pretzsch H (2017). Allometric models to predict aboveground woody biomass of Black locust (Robinia pseudoacacia L.) in short rotation coppice in previous mining and agricultural areas in Germany. Forests 8: 328.
CrossRef | Gscholar
Chave J, Réjou-Méchain M, Búrquez A, Chidumayo E, Colgan MS, Delitti WB, Duque A, Eid T, Fearnside PM, Goodman RC, Henry M, Martínez-Yrízar A, Mugasha WA, Muller-Landau HC, Mencuccini M, Nelson BW, Ngomanda A, Nogueira EM, Ortiz-Malavassi E, Pélissier R, Ploton P, Ryan CM, Saldarriaga JG, Vieilledent G (2014). Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology 20: 3177-3190.
CrossRef | Gscholar
Cienciala E, Cerny M, Tatarinov F, Apltauer J, Exnerová Z (2006). Biomass functions applicable to Scots pine. Trees 20: 483-495.
CrossRef | Gscholar
Cierjacks A, Kowarik I, Joshi J, Hempel S, Ristow M, Der Lippe MV, Weber E (2013). Biological flora of the British Isles: Robinia pseudoacacia. Journal of Ecology 101: 1623-1640.
CrossRef | Gscholar
Chojnacky DC, Heath LS, Jenkins JC (2014). Updated generalized biomass equations for North American tree species. Forestry 87: 129-151.
CrossRef | Gscholar
Cruickshank MG, Cameron IR, Groot A, Stewart JD, Goudie JW (2015). Models of the vertical distribution of sapwood area for lodgepole pine and western hemlock in western Canada. Forest Science 61: 973-987.
CrossRef | Gscholar
Cunliffe AM, McIntire CD, Boschetti F, Sauer KJ, Litvak M, Anderson K, Brazier RE (2020). Allometric relationships for predicting aboveground biomass and sapwood area of Oneseed Juniper (Juniperus monosperma) trees. Frontiers in Plant Science 11: 94.
CrossRef | Gscholar
DeGomez T, Wagner MR (2001). Culture and use of black locust. HortTechology 2: 279-288.
CrossRef | Gscholar
Delzon S, Sartore M, Burlett R, Dewar R, Loustau D (2004). Hydraulic responses to height growth in maritime pine trees. Plant Cell and Environment 27: 1077-1087.
CrossRef | Gscholar
Duncanson L, Rourke O, Dubayah R (2015). Small sample sizes yield biased allometric equations in temperate forests. Scientific Reports 5: 17153.
CrossRef | Gscholar
Duncanson L, Huang W, Johnson K, Swatantran A, McRoberts RE, Dubayah R (2017). Implications of allometric model selection for county-level biomass mapping. Carbon Balance and Management 12: 18.
CrossRef | Gscholar
Gajardo-Caviedes PA, Espinoza MA, González UT, Rios DG (2005). The influence of thinning and tree size on the sapwood area / leaf area ratio in coigue. Canadian Journal of Botany 35: 1679-1685.
CrossRef | Gscholar
Goude M, Nilsson U, Holmström E (2019). Comparing direct and indirect leaf area measurements for Scots pine and Norway spruce plantations in Sweden. European Journal of Forest Research 138: 1033-1047.
CrossRef | Gscholar
Grote R (2003). Estimation of crown radii and crown projection area from stem size and tree position. Annals of Forest Science 60: 393-402.
CrossRef | Gscholar
Grünewald H, Böhm C, Quinkenstein A, Grundmann P, Eberts J, Von Wühlisch G (2009). Robinia pseudoacacia L.: a lesser known tree species for biomass production. Bioenergy Research 2: 123-133.
CrossRef | Gscholar
Kou M, Garcia-Fayos P, Hu S, Jiao J (2016). The effect of Robinia pseudoacacia afforestation on soil and vegetation properties in the Loess Plateau (China): a chronosequence approach. Forest Ecology and Management 375: 146-158.
CrossRef | Gscholar
Larjavaara M, Muller-Landau HC (2010). Rethinking the value of high wood density. Functional Ecology 24: 701-705.
CrossRef | Gscholar
Lehnebach R, Beyer R, Letort V, Heuret P (2018). The pipe model theory half a century on: a review. Annals of Botany 121: 773-795.
CrossRef | Gscholar
Lehsten V (2005). LAFORE - Leaf Area FOR Everyone: calculating leaf area, leaf width and length from ordinary scans. University of Oldenburg, Germany, web site.
Online | Gscholar
Liu Z, Hu B, Bell TL, Flemetakis E, Rennenberg H (2020). Significance of mycorrhizal associations for the performance of N2-fixing Black locust (Robinia pseudoacacia L.). Soil Biology and Biochemistry 145: 107776.
CrossRef | Gscholar
Lockhart BR, Weih Jr RC, Smith KM (2005). Crown radius and diameter at breast height relationships for six bottomland hardwood species. Journal of the Arkansas Academy of Science 59: 110-115.
Online | Gscholar
Marchand PJ (1984). Sapwood area as an estimator of foliage biomass and projected leaf area for Abies balsamea and Picea rubens. Canadian Journal of Forest Research 14: 85-87.
CrossRef | Gscholar
McDowell N, Barnard H, Bond B, Hinckley T, Hubbard R, Ishii H, Köstner B, Magnani F, Marshall J, Meinzer F, Phillips N, Ryan M, Whitehead D (2002). The relationship between tree height and leaf area: sapwood area ratio. Oecologia 132: 12-20.
CrossRef | Gscholar
Meadows JS, Hodges JD (2002). Sapwood area as an estimator of leaf area and foliar weight in cherrybark oak and green ash. Forest Science 48: 69-76.
Online | Gscholar
Medhurst JL, Beadle CL (2002). Sapwood hydraulic conductivity and leaf area - sapwood area relationships following thinning of a Eucalyptus nitens plantation. Plant, Cell and Environment 25: 1011-1019.
CrossRef | Gscholar
Mercurio R (2018). What does forest restoration mean in Italy? Journal of Mediterranean Ecology 16: 27-36.
Online | Gscholar
Morataya R, Galloway G, Berninger F, Kanninen M (1999). Foliage biomass - sapwood (area and volume) relationships of Tectona grandis L.f. and Gmelina arborea Roxb.: silvicultural implications. Forest Ecology and Management 113: 231-239.
CrossRef | Gscholar
Moser A, Rötzer T, Pauleit S, Pretzsch H (2015). Structure and ecosystem services of small-leaved lime (Tilia cordata Mill.) and black locust (Robinia pseudoacacia L.) in urban environments. Urban Forestry and Urban Greening 14: 1110-1121.
CrossRef | Gscholar
Nicolescu VN, Rédei K, Mason WL, Vor T, Pöetzelsberger E, Bastien JC, Brus R, Benčat T, Dodan M, Cvjetkovic B, Andrašev S, La Porta N, Lavnyy V, Mandzukovski D, Petkona K, Rozenbergar D, Wasik R, Mohren GMJ, Monteverdi MC, Musch B, Klisz M, Perić S, Keca L, Bartlett D, Hernea C, Pástor M (2020). Ecology, growth and management of black locust (Robinia pseudoacacia L.), a non-native species integrated into European forests. Journal of Forestry Research 31: 1081-1101.
CrossRef | Gscholar
Nola P, Bracco F, Assini S, Von Arx G, Castagneri D (2020). Xylem anatomy of Robinia pseudoacacia L. and Quercus robur L. is differently affected by climate in a temperate alluvial forest. Annals of Forest Science 77: 8.
CrossRef | Gscholar
Ogawa K (2015). Mathematical consideration of the pipe model theory in woody plant species. Trees 29: 695-704.
CrossRef | Gscholar
Petersen KS, Ares A, Terry TA, Harisson RB (2008). Vegetation competition effects on aboveground biomass and macronutrients, leaf area, and crown structure in 5-year old Douglas-fir. New Forests 35: 299-311.
CrossRef | Gscholar
Petit G, Von Arx G, Kiorapostolou N, Lechthaler S, Prendin AL, Anfodillo T, Caldeira MC, Cochard H, Copini P, Crivellaro A, Delzon S, Gebauer R, Gričar J, Grönholm L, Hölttä T, Jyske T, Lavrič M, Lintunen A, Lobo-Do-Vale R, Peltoniemi M, Peters RL, Robert EMR, Roig Juan S, Senfeldr M, Steppe K, Urban J, Van Camp J, Sterck F (2018). Tree differences in primary and secondary growth drive convergent scaling in leaf area to sapwood area across Europe. New Phytologist 218: 1383-1392.
CrossRef | Gscholar
Phillips N, Bond BJ, McDowell NG, Ryan MG, Schauer A (2003). Leaf area compounds height-related hydraulic costs of water transport in Oregon White Oak trees. Functional Ecology 17: 832-840.
CrossRef | Gscholar
Pretzsch H, Dieler J (2012). Evidence of variant intra- and interspecific scaling of tree crown structure and relevance for allometric theory. Oecologia 169: 637-649.
CrossRef | Gscholar
R Development Core Team (2014). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. R Foundation for Statistical Computing, Vienna.
Online | Gscholar
Rédei K, Bakti B, Kiss T, Takács M, Keseru Z (2018). Yield and crown structure characteristics in a black locust (Robinia pseudoacacia L.) stand: a case study. Journal of Forest Science 64: 96-100.
CrossRef | Gscholar
Reyes-García C, Andrade J, Simá JL, Us-Santamaría R, Jackson P (2012). Sapwood to heartwood ratio affects whole-tree water use in dry forest legume and non-legume trees. Trees 26: 1317-1330.
CrossRef | Gscholar
Schneider R, Berninger F, Ung C-H, Mäkelä A, Swift DE, Zhang SY, Whitehead D (2011). Within crown variation in the relationship between foliage biomass and sapwood area in jack pine. Tree Physiology 31: 22-29.
CrossRef | Gscholar
Schneider CA, Rasband WS, Eliceiri KW (2012). NIH Image to ImageJ: 25 years of image analysis. Nature Methods 9: 671-675.
CrossRef | Gscholar
Sellin A, Kupper P (2006). Spatial variation in sapwood area to leaf area ratio and specific leaf area within a crown of silver birch. Trees 20: 311-319.
CrossRef | Gscholar
Shinozaki K, Yoda K, Hozumi K, Kira T (1964a). A quantitative analysis of plant form - the pipe model theory I. Basic analyses. Japanese Journal of Ecology 14: 97-132.
Shinozaki K, Yoda K, Hozumi K, Kira T (1964b). A quantitative analysis of plant form -the pipe model theory II. Further evidence of the theory and its application in forest ecology. Japanese Journal of Ecology 14: 133-139.
Shingleton A (2010). Allometry: the study of biological scaling. Nature Education Knowledge 3: 2.
Sirri NF, Libalah MB, Momo Takoudjou S, Ploton P, Medjibe V, Kamdem NG, Mofack G, Sonké B, Barbier N (2019). Allometric models to estimate leaf area for tropical African broadleaved forests. Geophysical Research Letters 46: 8985-8994.
CrossRef | Gscholar
Spyroglou G, Zianis D, Koleta I, Radoglou K (2019). Leaf area and foliage weight to sapwood area models for Quercus frainetto (TEN) in Greece. Silva Balcanica 20: 5-20. -
Online | Gscholar
Spyroglou G, Fotelli M, Nanos N, Radoglou K (2021). Assessing black locust biomass accumulation in restoration plantations. Forests 12: 1477.
CrossRef | Gscholar
Sumida A, Nakai T, Yamada M, Ono K, Uemura S, Hara T (2009). Ground-based estimation of leaf area index and vertical distribution of leaf area density in a Betula ermanii forest. Silva Fennica 43: 799-816.
CrossRef | Gscholar
Sumida A, Miyaura T, Torii H (2013). Relationships of tree height and diameter at breast height revisited: analyses of stem growth using 20-year data of an even-aged Chamaecyparis obtusa stand. Tree Physiology 33: 106-118.
CrossRef | Gscholar
Tyree MT, Ewers FW (1991). The hydraulic architecture of trees and other woody plants. Tansley review no. 34. New Phytologist 119: 345-360.
CrossRef | Gscholar
Vertessy RA, Benyon RG, O’Sullivan SK, Gribben PR (1995). Relationship between stem diameter, sapwood area, leaf area and transpiration in a young mountain ash forest. Tree Physiology 15: 559-568.
CrossRef | Gscholar
Vítková M, Mullerova J, Sadlo J, Pergl J, Pysek P (2017). Black locust (Robinia pseudoacacia) beloved and despised: a story of an invasive tree in Central Europe. Forest Ecology and Management 38: 287-302.
CrossRef | Gscholar
White DA (1993). Relationships between foliar number and the cross-sectional areas of sapwood and annual rings in red oak (Quercus rubra) crowns. Canadian Journal of Forest Research 23: 1245-1251.
CrossRef | Gscholar

Authors’ Affiliation

Stamatios R Tziaferidis
ENA Investment Management, 3rd km Xanthi - Kavala road, 67131 Xanthi (Greece)
Gavriil Spyroglou 0000-0001-9001-7612
Mariangela N Fotelli 0000-0002-9310-5017
Forest Research Institute, Hellenic Agricultural Organization Dimitra, Vasilika, 57006 Thessaloniki (Greece)
Kalliopi Radoglou 0000-0002-5555-0582
Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Pantazidou 193, 86200 Nea Orestiada (Greece)

Corresponding author

Mariangela N Fotelli


Tziaferidis SR, Spyroglou G, Fotelli MN, Radoglou K (2022). Allometric models for the estimation of foliage area and biomass from stem metrics in black locust. iForest 15: 281-288. - doi: 10.3832/ifor3939-015

Academic Editor

Giorgio Alberti

Paper history

Received: Jul 30, 2021
Accepted: Jun 01, 2022

First online: Jul 27, 2022
Publication Date: Aug 31, 2022
Publication Time: 1.87 months

© SISEF - The Italian Society of Silviculture and Forest Ecology 2022

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