Issue 
Ann. For. Sci.
Volume 66, Number 5, JulyAugust 2009



Article Number  513  
Number of page(s)  8  
DOI  https://doi.org/10.1051/forest/2009030  
Published online  09 July 2009 
Original article
Allometric abovebelowground biomass equations for Nothofagus pumilio (Poepp. & Endl.) natural regeneration in the Chilean Patagonia
Équations allométriques pour la biomasse aérienne et souterraine pour la régénération naturelle de Nothofagus pumilio en Patagonie chilienne
Andreas Schmidt^{1}^{*}, Marcela Poulain^{1}, Daniel Klein^{1}, Kim Krause^{1}, Karen PeñaRojas^{2}, Harald Schmidt^{2} and Andreas Schulte^{1}
^{1} Institut für Landschaftsökologie, Westfälische Wilhelms Universität Münster,
Robert Koch Straße 26, 48149, Münster, Germany
^{2} Facultad de Ciencias Forestales, Universidad de Chile,
Avenida Santa Rosa 11315, Santiago, Chile
^{*} Corresponding author: andreas.schmidt@waldzentrum.de
Received: 8 August 2008
Accepted: 2 December 2008
• In the present study, allometric biomass equations were developed for Nothofagus pumilio natural regeneration relating foliage, stem and branches (aboveground), roots (belowground), and total biomass to basal diameter and total height, based on destructive measurements of 390 naturally regenerated seedlings and saplings.
• Basal diameter was the most important independent variable in all equations and accounted for more than 88% of the variability of the different biomass components. The addition of height as a second independent variable slightly improved the predictions.
• The bestfit biomass components equations that were based on combinations of basal diameter and height as independent variables had adjusted R^{2} values between 0.80 and 0.95 and a mean percent standard error between 21.3% and 26.6%.
• Based on the bestfit biomass equations and the natural regeneration development in a 14years chronosequence in forests managed under shelterwood cuts, the total biomass varied from 0.9 Mg ha^{−1} (0.5 Mg ha^{−1} above and 0.4 Mg ha^{−1} belowground) for the primary forest, before the shelterwood cuts, to 19.5 Mg ha^{−1} (13.6 Mg ha^{−1} above and 5.9 Mg ha^{−1} belowground) 14 years after the seed cut. In the same period, carbon storage varied, from 0.5 Mg ha^{−1} to 9.8 Mg ha^{−1}.
Résumé
• Dans la présente étude, des équations allométriques ont été élaborées pour prédire la biomasse du feuillage, des tiges, des branches et des racines, ainsi que de la biomasse totale, à partir du diamètre à la base et de la hauteur totale dans une régénération naturelle de Nothofagus pumilio . Des mesures destructives ont été réalisées sur 390 plants régénérés naturellement et de jeunes arbres.
• Le diamètre à la base était la plus importante variable indépendante dans toutes les équations et représentait plus de 88 % de la variabilité des différentes composantes de la biomasse. L’ajout de la hauteur en tant que deuxième variable indépendante, a légèrement amélioré les prédictions.
• Le meilleur ajustement des équations des composantes de la biomasse, fondées sur des combinaisons du diamètre à la base et de la hauteur comme variables indépendantes, a produit des valeurs de R^{2} comprises entre 0,80 et 0,95 et un pourcentage moyen d’erreur standard compris entre 21,3 % et 26,6 %.
• En utilisant le meilleur ajustement des équations de biomasse, nous avons établi dans le cas d’une régénération naturelle étudiée à travers une chronoséquence de 14 années dans des forêts gérées en coupes d’abri, que l’accroissement en biomasse totale a varié entre 0,9 Mg ha^{−1} (0,5 pour les parties aériennes et 0,4 pour les racines) pour la forêt primaire, avant les coupes d’abri, et 19,5 Mg ha^{−1} (13,6 et 5,9, respectivement) 14 ans après la coupe d’ensemencement. Dans la même période, le stockage du carbone est passé de 0,5 à 9,8 Mg ha^{−1}.
Key words: biomass equations / Nothofagus pumilio / natural regeneration / carbon storage / chronosequence
Mots clés : équations de la biomasse / Nothofagus pumilio / régénération naturelle / stockage du carbone / chronoséquence
© INRA, EDP Sciences, 2009
1. INTRODUCTION
Estimation of the biomass of trees at the seedling and sapling stages is used for forest fuel inventories, for assessing the potential of young stands as fibre sources, as indicators of net primary production and for assessing the stand’s potential for carbon sequestration (Wagner and TerMikaelian, 1999). Seedling biomass has also been demonstrated to be the best response variable to competition from surrounding vegetation for many tree species (TerMikaelian and Parker, 2000). Therefore, estimates of seedling and sapling biomass can also be used to evaluate early performance of forest regeneration exposed to various management practices and to develop silvicultural guidelines to promote the growth of desired tree species (TerMikaelian and Parker, 2000). Biomass estimation can be done based on a destructive sample of the trees and the weight of each component, such as stem, branches, foliage, and roots (Parresol, 2001; Zianis and Mencuccini, 2003). Direct harvesting methods for estimating biomass are laborintensive and timeconsuming (Zianis and Mencuccini, 2003). The most common procedure used to estimate tree biomass is through the use of regression equations. In these equations, the biomass of each tree component is related by regression to one or more dimension variables of the standing tree (Parresol, 1999; Verwijst, 1991; Zianis and Mencuccini, 2003). The inclusion of height as a predictor variable in allometric biomass estimations is important if the equations are intended to be applied to trees growing at sites other than the one at which the equation was formulated (Jackson et al., 1995; Stewart et al., 1992). Most allometric equations have been developed for mature trees, and relatively few studies have focused on saplings or seedlings (Geudens et al., 2004; Wagner and TerMikaelian, 1999).
The genus Nothofagus occurs in Chile, Argentina, New Zealand, Australia and New Guinea (Veblen et al., 1996). Nothofagus pumilio forests are the most important native forest resource in southern Chile and Argentina (Bartsch and Rapp, 1994; Cuevas, 2002), covering 3400346 ha from 35° 35’ S to 56° 00’ S in Chile and 1526275 ha from 37° 30’ S to 56° 00’ S in Argentina (Bava, 1999; Rosenfeld et al., 2006). The current silvicultural method applied to these forests is the shelterwood cutting (Martinez Pastur et al., 2007; Schmidt et al., 2003). This method involves two main steps, a seed cut and a removal cut. The seed cut is a cutting performed to open the stand sufficiently to promote the establishment and development of natural regeneration. The removal cut is done when natural regeneration is well established to remove the residual canopy of the old stand and to allow the new stand to grow.
Above and belowground biomass and carbon storage of Nothofagus forests have been partially studied especially at seedlings and saplings stages.
The objectives of this study were to develop allometric equations that enable estimation of total aboveground (foliage; stem and branches) and belowground biomass for natural regeneration of lenga (Nothofagus pumilio) and quantify the amount of biomass and carbon storage in the natural regeneration at different development stages, in a 14years chronosequence after shelterwood cuts, in the Chilean Patagonia.
2. MATERIALS AND METHODS
2.1. Study area
This study was carried out in the periods JanuaryFebruary 2006 and JanuaryFebruary 2007, in the estate of “Monte Alto”, Province of Ultima Esperanza, Region of Magallanes, Chile, 52° 05’ S and 71° 42’ W (Fig. 1). The study area is a continuum of pure oldgrowth lenga forests managed by shelterwood cuts.
Figure 1 General location of the study area. 
The mean annual temperature is 5 °C and the annual average precipitation of 596 mm is homogenously distributed throughout the year (Schmidt et al., 2003). During summer, strong winds are frequent, with gusts attaining 120 km h ^{−1} (Caldentey et al., 2001). The topography corresponds to gently undulating hillocks, with maximum slopes of 20%. Soils are derived from glacial drift and volcanic materials with sandloam textural classes. Soils under Lenga forests can exhibit podzolization, characterized by the presence of E and Bhs horizons. The origin of the E horizon is thought to be volcanic ash, altered by eluviation processes (Klein et al., 2008). Rooting systems are mostly concentrated in the first 50 cm of the profile (Schmidt et al., 2008).
2.2. Forest stands
Four adjacent forest stands with natural regeneration at different development stages after shelterwood cuts were selected: two stands that had been subjected to seed cuts three and eight years, respectively, before this study (S3 and S8); and a stand subjected to both a seed cut and a final cut of the residual canopy, 14 and four years, respectively, prior to this study (S14), and one nonintervened primary forest stand (P). We used the four differentaged shelterwood stands as a chronosequence. The forest structure of the stands was characterized by the number of trees ha^{−1} and the basal area of the mature trees (measured at breast height) Table I.
Original and residual forest structure of the forest stands.
Twenty regeneration inventory plots (2 m^{2}) were systematically distributed in each stand at 20 m intervals in two parallel transects separated by 60 m. The total plant height, basal diameter (measured at ground level), and number of seedlings (total height < 140 cm) and saplings (total height > 140 cm, DBH < 5 cm) (Rebertus and Veblen, 1993) were measured in each plot to determine natural regeneration density, height, basal diameter and height classes distribution, Tables I and II, respectively.
2.3. Biomass sampling
A total of 390 seedlings and saplings with basal diameter between 0.1 and 7.1 cm and total heights ranging from 3 to 365 cm were destructively sampled from the stands described in Table I. A summary of the descriptive statistics of the sampled seedlings and saplings is presented in Table III. The whole root system of each collected seedling and sapling was excavated. The sandy loam textured soil, and the use of shovels and air at a pressure of 4 to 7 bars (Schmidt et al., 2008), allowed each root system to be extracted nearly intact. The height between the root collar and the top was measured to the nearest 0.1 cm. The basal diameter was measured to the nearest 0.1 mm using a calliper. Sampled seedlings and saplings were separated at the rootcollar in aboveground biomass (foliage, stem and branches) and belowground biomass (including stump and roots). The samples had been ovendried to a constant weight at 65 °C and weighed on an electronic scale to the nearest 0.01 g. Carbon content for foliage (n = 10) and stem (n = 10) was measured by dry combustion using an EA 3000 elementary analyzer following DIN ISO 10694.
Regeneration density (stems ha^{−1}) distributed in height classes (cm) in the forest stands.
General statistics for variables used in the development of allometric biomass equations for Nothofagus pumilio natural regeneration (N = 390).
2.4. Regression analysis
Different models for estimating totaltree and treecomponent biomass were used in former studies. The commonly used mathematical model is the allometric equation corresponding to the following power form:
Figure 2 Scatterplots of basal diameter (cm) and total height (cm) vs. total biomass (dry weight) (kg) of the natural regeneration (n = 390). 
3. RESULTS AND DISCUSSION
3.1. Regression equations
Scatterplots of the data indicated that biomass values (aboveground, belowground, and total) were nonlinearly related to basal diameter and plant height, and that they exhibit heteroscedasticity (Fig. 2). This coincides with the tendencies reported by Parresol (1999).
The data were transformed using the logarithmic function and the least squares method was applied to estimate model parameters. The results are presented in Table IV.
All the regression analyses showed a level of significance of P < 0.01, values above 0.90 ( given for logtransformed variables), a normal distribution, and independency of the residuals. Scatterplots of the residuals did not show patterns of increasing error variance with increasing predicted values. Basal diameter was the most important variable and explained more than 95% of the variability of the different biomass compartments, consistent with the results reported by Williams and Mc Clenahen (1984) and TerMikaelian and Parker (1999).
Height by itself was a good predictor of biomass with values above 0.90, but the addition of H as a second variable slightly improved the predictions. The correlation between D and H was 0.95 (P < 0.001) and explains the low gains in prediction when H is included in the models (multicolinearity). Compared with D or D^{2} only equations, D − H and D^{2}H combined equations increased values by less than 1.5% for the different biomass components. A similar contribution of H was reported by Williams and Mc Clenahen (1984) for different hardwood tree seedlings and saplings and by Wagner and TerMikaelian (1999) for coniferous tree seedlings. In contrast with mature trees, simple measurements of height are easier to take in the field than basal diameter measurements, especially when natural regeneration is dense.
Parameter estimates for allometric equation ln (Y) = a + bln (X) using linear regression. Parameters a, b, and c are significant at the 0.01 level. AB is aboveground biomass (dry weight); SBB is stem + branches biomass; FB is foliage biomass; BB is belowground biomass; TB is total biomass; H is total height in cm; D is basal diameter in cm, D^{2} in cm^{2} and D^{2}H in cm^{3}.
Because D alone is such a good biomass predictor, only marginal improvement can be expected by adding H as a second independent variable. In this study, the addition of H contributed to decreases in the SEE for the different biomass compartments and to decreases in the mean percent standard error by 6.2% for the aboveground biomass, 3.1% to 3.3% for the belowground biomass, and 4.8% for the total biomass. Also the incorporation of height has the advantage of increasing the equation’s potential applicability to different sites (Cole and Ewel, 2006; Jackson et al., 1995).
The bestfit equation for total biomass based on combinations of basal diameter (D) and total height (H) as independent variables in the form D^{2}H (Eq. (24); Tab. IV) presented, after arithmetical transformation, an adjusted R^{2} = 0.94, a SEE = 0.068, and a %. The equation takes the following power form:
Aboveground biomass was best predicted by using the combination of basal diameter (D) and total height (H) as independent variables in the form D^{2}H (Eq. (4); Tab. IV) and presented, after arithmetical transformation, an adjusted R^{2} = 0.89, a SEE = 0.068, and a %. The equation takes the following power form:
The stem and branches biomass was best predicted by using the combination of basal diameter (D) and total height (H) as independent variables in the form D^{2}H (Eq. (9); Tab. IV) and presented, after arithmetical transformation, an adjusted R^{2} = 0.80, a SEE = 0.081, and a %. The equation takes the following power form:
This is consistent with Williams and McClenahen (1984), who suggested that the combination of basal diameter and total height in the form D^{2}H provides the best independent variable for predicting aboveground biomass of seedlings and saplings.
Foliage biomass was best predicted by using basal diameter (D) and total height (H) as independent variables (Eq. (15); Tab. IV) and presented, after arithmetical transformation, an adjusted R^{2} = 0.84, a SEE = 0.010, and a %. The equation takes the following power form:
Belowground biomass was best predicted by using D and H as independent variables (Eq. (20); Tab. IV) and presented, after arithmetical transformation, an adjusted R^{2} = 0.95, a SEE = 0.016, and a %.
The equation takes the following power form:
The (%) of the selected equations, ranging between 21.3% and 26.6%, was within the range reported by Pastor et al. (1984) and Zianis and Mencuccini (2003) for regressions (for mature trees) developed from field data.
Figure 3 Predictions of total, foliage, stem + branches, and roots biomass (dry weight) related to D^{2}H of the natural regeneration. 
3.2. Abovebelowground biomass
The collected biomass of the total set of sample seedlings and saplings used for the regression analysis (n = 390) reached 28.4 kg. It was dominated by aboveground biomass with 19.6 kg (68.9%), while belowground biomass reached 8.8 kg (31.1%). Foliage biomass represented 13.6% (2.7 kg) and stem and branches 86.4% (16.9 kg) of aboveground biomass. The estimated biomass for the same sample, using the selected biomass equations, was 27.3 kg for total biomass, 18.9 kg for aboveground biomass, and 8.7 kg for belowground biomass. This means an underestimation of 3.9%, 3.6%, and 1.2% respectively. Foliage biomass reached 2.6 kg and stem and branches biomass 17.4 kg. This means an underestimation of 3.7% for foliage biomass and an overestimation of 2.9% for stem and branches biomass. The difference between total biomass and the sum of above and belowground estimations was 1.1%, while the difference of aboveground biomass and the sum of foliage and stem and branches biomass was 5.5%. Similar tendencies between singleequation and additive estimations were described by Cienciala et al. (2006) for Fagus sylvatica . Aboveground to belowground biomass ratios tended to increase with increasing tree size, ranging from 0.6 to 3.0. These ratios tendencies are comparable with Bartsch and Rapp (1994) values, reporting aboveground to belowground ratios from 0.7 to 1.0 for 5year old lenga seedlings in Argentina. Stem and branches to foliage biomass ratios exhibited similar tendencies with increasing tree size, ranging from 0.7 to 10.7 (Fig. 3). The percentage of foliage biomass decreased with increasing stem basal diameter, consistent with the results reported by Haase and Haase (1995).
3.3. Natural regeneration stand biomass
The natural regeneration stand biomass estimated using the selected allometric equations for the different components varied from 0.9 Mg ha^{−1} (0.5 Mg ha^{−1} above and 0.4 Mg ha^{−1} belowground) in the primary forest to 1.3 Mg ha^{−1} (0.7 Mg ha^{−1} above and 0.6 Mg ha^{−1} belowground) three years after the seed cut. Eight years after the seed cut the biomass increased to 3.2 Mg ha^{−1} (2.0 Mg ha^{−1} above and 1.2 Mg ha^{−1} belowground) while 14 years after the seed cut the natural regeneration biomass went up to 19.5 Mg ha^{−1} (13.6 Mg ha^{−1} above and 5.9 Mg ha^{−1} belowground). A significant increase in the natural regeneration biomass was observed in the 14years chronosequence period (F = 21.0; P = 0.000). The proportion of biomass allocated to stem and branches increased with tree size. This produced an increase in the above/belowground biomass ratio, from 1.5 in the primary forest to 2.3, 14 years after the seed cut (Fig. 4). Similar tendencies were reported by Cole and Ewel (2006) for small tropical trees.
Figure 4 Foliage, stem + branches, and root biomass (dry weight) storage (Mg ha^{−1}) in forest stands. 
3.4. Carbon storage
Carbon concentrations in foliage and stem and branches were 47.5% (SE = 0.5%) and 50.3% (SE = 0.5%) respectively. Bartsch and Rapp (1994) reported a foliage carbon content between 42.2% and 46.8% for lenga seedlings growing in Argentina. Weber (2001) reported carbon concentrations of 47.9% for foliage biomass, 50.2% for bark, and 47.3% for sapwood for mature lenga trees growing in Tierra del Fuego, Argentina. The high contents of carbon in stem and roots were due to the fact that we did not separate the bark from the sapwood, and bark exhibits more carbon content than sapwood. We assumed the same carbon values for roots than for stem and branches. Across the 14years chronosequence, the carbon storage in the natural regeneration increased from 0.5 Mg ha^{−1} (0.3 Mg ha^{−1} above and 0.2 Mg ha^{−1} belowground) in the primary forest to 9.8 Mg ha^{−1} (6.8 Mg ha^{−1} above and 3.0 Mg ha^{−1} belowground) 14 years after the shelterwood cuts. Carbon storage is strongly related to biomass allocation dynamics in the natural regeneration.
The allometric biomass equations for Nothofagus pumilio seedlings and saplings presented in this paper are only valid within the range of stem heights and basal diameters used for the calibration of the equations. Differences in growing conditions such as available light, water or nutrients, result in different anatomical responses of seedlings (Bloomberg et al., 2008). Due to this, the validity under different growth conditions or in other regions should be tested before general application, especially in forests with browsing damages, where the ratio of seedling height to seedling basal diameter is affected.
4. CONCLUSIONS
This study confirmed the existence of a strong relationship between basal diameter and biomass compartments (foliage, stem and branches (aboveground), roots (belowground), and total biomass) in seedlings and saplings. Height was also a good predictor of biomass, and its addition as a second independent variable slightly improved the equations. These allometric equations provide a useful tool for rapid estimation of the biomass of Nothofagus pumilio natural regeneration growing in natural and managed lenga forests in the Chilean Patagonia. Biomass estimation and its allocation dynamics in the different compartments of the natural regeneration in early development stages allow the assessment of net primary productivity of the regeneration, responses to silvicultural interventions such as seed cuts, and development of silvicultural strategies to promote its establishment and successful development.
Natural regeneration exhibits considerable biomass buildup and carbon storage after the opening of the canopy using shelterwood cuts and especially after the final cut of the residual canopy. These equations are species specific and the validity under different growth conditions or in other regions should be tested before general application, especially in forests with browsing damages.
Acknowledgments
We thank the companies “Forestal y Ganadera Monte Alto Ltda”. and “Salfa Corp”. for allowing us to use their forests. We also thanks the reviewers for their important contributions and suggestions to this article. This study was carried out under a cooperative project between the Universidad de Chile and the WaldZentrum of the Westfälische WilhelmsUniversität Münster, supported by the Programme Alban, the European Union Programme of High Level Scholarships for Latin America, scholarship No. E05D055502CL.
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All Tables
Regeneration density (stems ha^{−1}) distributed in height classes (cm) in the forest stands.
General statistics for variables used in the development of allometric biomass equations for Nothofagus pumilio natural regeneration (N = 390).
Parameter estimates for allometric equation ln (Y) = a + bln (X) using linear regression. Parameters a, b, and c are significant at the 0.01 level. AB is aboveground biomass (dry weight); SBB is stem + branches biomass; FB is foliage biomass; BB is belowground biomass; TB is total biomass; H is total height in cm; D is basal diameter in cm, D^{2} in cm^{2} and D^{2}H in cm^{3}.
All Figures
Figure 1 General location of the study area. 

In the text 
Figure 2 Scatterplots of basal diameter (cm) and total height (cm) vs. total biomass (dry weight) (kg) of the natural regeneration (n = 390). 

In the text 
Figure 3 Predictions of total, foliage, stem + branches, and roots biomass (dry weight) related to D^{2}H of the natural regeneration. 

In the text 
Figure 4 Foliage, stem + branches, and root biomass (dry weight) storage (Mg ha^{−1}) in forest stands. 

In the text 