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Article

Impact of Tree Growth Rate on the Mechanical Properties of Douglas Fir Lumber in Belgium

1
Laboratory of Wood Technology, Public Service of Wallonia, Avenue Maréchal Juin 23, 5030 Gembloux, Belgium
2
TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, Passage des Déportés 2, 5030 Gembloux, Belgium
*
Author to whom correspondence should be addressed.
Forests 2018, 9(6), 342; https://doi.org/10.3390/f9060342
Submission received: 20 April 2018 / Revised: 4 June 2018 / Accepted: 6 June 2018 / Published: 9 June 2018
(This article belongs to the Special Issue Wood Property Responses to Silvicultural Treatments)

Abstract

:
In the context of questioning the relevance of making Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) silviculture more dynamic in Wallonia, we evaluated the influence of growth rate on the potential of Douglas-fir lumber for structural uses. Therefore, six trees 120 to 180 cm in circumference at 1.5 m were felled in 11 stands whose age varied from 40 to 69 years (mean circumference of the trees ≈150 cm; initial planting density from ≈2200 to 4400 seedlings/ha). In total, 706 boards (38 × 100 mm² and 70 × 180 mm² in cross section) were cut from these trees, whose average ring width ranged between 3 and 7 mm. The density of the wood (ρ) always appeared compatible with the mechanical class C30, regardless of the growth rate of the trees from which the lumber originated. The modulus of elasticity (E) and the modulus of rupture (fm) displayed by the 38 × 100 mm² boards cut from corewood were respectively 30% and 41% lower than those observed in outerwood. The latter did not seem affected by growth rate: E and fm characteristic values remained compatible with structural use, regardless of the mean ring width. Growth rate considerably affects the characteristic values of these mechanical properties when boards are made from corewood. Juvenile growth should therefore be limited.

Graphical Abstract

1. Introduction

Within the forest landscape of Wallonia (Southern Belgium), Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) has experienced a notable progression in recent decades [1]. Introduced to Belgium during the second half of the 19th century, it is currently one of the main reforestation species in Wallonia: the area covered with Douglas fir in Wallonia in the early 2000s (i.e., slightly more than 20,000 ha) had increased tenfold compared to its 1960 levels [2]. This increase is the consequence of the advantageous properties of its wood [3,4], which are associated with a growth potential significantly higher than that of other resinous species [5,6,7], as well as with significant ecological plasticity. The latter makes it relatively well adapted to the soil and climatic conditions of Wallonia [8]. The above figures underlie the limited experience of Walloon foresters regarding the silvicultural management of Douglas fir. In these circumstances, the silviculture of this species in Wallonia has so far been substantially inspired by that applied to Norway spruce (in terms of spacing at planting, intensity, timing of thinning, etc.). As reported hereafter, initial planting densities of more than 3000 or even 4000 seedlings/ha have been adopted in the past. Present planting guidelines are 2000–2500 seedlings/ha [7], which is approximately double the densities in the leading production countries of France [9] and Germany [10]. This situation has probably implied an under-exploitation of the production potential of the North American species, as shown by data from the Walloon Permanent Forest Inventory (WPFI) according to which the mean annual circumference increment (MACI) in Walloon Douglas fir stands is about 3.2 cm/year (Lecomte, 2010, pers. com.), while with ad hoc silvicultural management, periodic increments of up to 4 cm/year can easily be achieved, at least in young stands [11]. As recent research in Germany [12,13] or in the United Kingdom [14,15] has shown, European forest managers are therefore questioning the impact of silviculture on the characteristics of the Douglas fir resource. In France, research on this issue has been carried out longer ago [16,17,18]. Moved by the same questions, the Public Service of Wallonia has therefore subsidized a vast study in order to assess to what extent it would be opportune to boost Douglas fir silviculture in Wallonia while ensuring the production of a material that offers the widest potential of uses. Hence, the influence of growth rate was evaluated on certain morphological characteristics (bark thickness, taper, branchiness, etc.), on the natural durability of the wood [19], on the physico-mechanical properties of clear wood specimens [20], as well as on the mechanical and visual characteristics of lumber destined for structural applications or cladding [21,22]. In addition to the intrinsic mechanical properties of clear wood, it is also important to ensure that the final product does not suffer excessively from an increase in the growth rate of the trees. Indeed, lumber presents features (knots, resin pockets, etc.) which, despite the valuable properties of the material per se, can prove to be prohibitive in a particular context of use. Moreover, although it is known that a higher growth rate determines lower mechanical properties of Douglas fir wood [12,13,14,17,20], this trend is less pronounced than in other softwood species [17].
Additionally, given the differences in mechanical properties of core- and outerwood (As defined in [23]) [13,15,20,24], the type of wood should also be taken into account as much as possible in the analysis of the impact of tree growth rate. In this respect, it is important to note that the age at which wood exhibits its maturity characteristics notably relies on the property considered [14]: for example, microfibril angle, tracheid length, or density do not necessarily stabilize from the same growth ring [25]. Moreover, even considering only one property (e.g., specific gravity), the age of transition can vary significantly between trees and provenances [26], this age being under “appreciable genetic control” [27]. It should also be noted that a slightly earlier transition to maturity in slower-growing trees has been reported [14]. However, if significant at 1.3 m, this impact is no longer significant at 8 m height. In fact, if outerwood is characterized by relatively stable properties, those of corewood evolve from the pith to the levels specific to outerwood: the transition between core- and outerwood is therefore gradual. According to [15,28], who respectively studied British and German Douglas fir, the mature character of wood is generally observed at an age between 10 and 20 years (although full maturity can only be observed beyond the 30th growth ring).
Finally, the Construction Products Regulation CPR 305/2011 has for some years imposed upon European sawmillers the grading of lumber intended for structural applications, which in Western Europe remains the main outlets of Douglas fir.
In this context, the research presented here aims at evaluating, from the perspective of lumber grading, to what extent growth rate (assumed to be representative of silviculture) influences the potential use of Douglas fir boards for structural applications.

2. Materials and Methods

2.1. Material

The experimental material was collected from 11 even-aged stands where the average Douglas fir circumference was about 150 cm at the time the trees were felled. These plantations were then between 40 and 69 years old. General and dendrometric stand characteristics are presented in Table 1.
It should be noted that although planting densities varied by a factor of two (±4400 in Spa and Libin, vs. ±2200 in Philippeville), they were all relatively high in absolute terms—much higher than those characterizing stands studied for a similar objective by, among others, [29]—1000 seedlings/ha, [30]—400 seedlings/ha, or [10]—100 seedlings/ha.
Six trees were collected from within each stand, belonging to circumference classes at 1.5 m height [120 cm; 129 cm], [130 cm; 139 cm], [140 cm; 149 cm], [150 cm; 159 cm], [160 cm; 169 cm] and [170 cm; 179 cm]. These trees were randomly selected among those supposed to be final crop trees (i.e., they were well shaped, straight grain, displayed well-balanced crown, no apparent curvature of the foot log, etc.). The 66 trees in the sample thus had contrasting individual growth rates: their average ring width (RWtree) measured on a disk taken at 2 m height varied from barely 3 mm (smallest tree of the oldest stand) to more than 7 mm (largest tree of the youngest stand). The sample broadly covered the range of RWtree encountered within the Walloon Douglas fir stands. However, due to the structure of the sample, it should be noted that 60% of the trees had a RW between 4 and 5.5 mm (Figure 1).
In order to provide the material for the various tests, the 66 trees were cut according to a common protocol (for more details, see [21]). The boards studied here originated from three log types, as described in Table 2.
Logs n°5 were entirely cut into 70 × 180 mm² boards, producing as many wane-free pieces as possible. On the other hand, the 38 × 100 mm² boards taken from logs n°2 and n°3 resulted from the edging of the 110 mm thick transverse slice centered on the pith and perpendicular to the largest radius of the section (in order to minimize the presence of reaction wood). No 38 × 100 mm² boards were taken out of the transverse slice.
These cutting schemes do not necessarily correspond to what would have been done in sawmills. They were underpinned by the carried out visual and mechanical strength grading of the boards (remembering that boards of different sections are not affected equally by the presence of knots of a given size, for example). The fact remains that the boards analyzed here allowed an objective evaluation of the impact of tree growth rate on the mechanical properties of the lumber.
With regard to the 445 38 × 100 mm² boards, the proportion of the section of the log that they represent increases with the distance that separated them from the pith. For some evaluations, it may therefore be suitable to weight the importance of each board in the sample according to its radial position.

2.2. Methods

2.2.1. Measurement of the Boards’ Properties

Before the mechanical trials, a visual strength-grading was carried out on all boards at a moisture content of around 20%, obtained through natural seasoning [21]. Within the framework of this grading, the average ring width observed on each board (RWboard) as well as the marginal and total knot area ratios (KARm and KARt) were determined in accordance with the methodology presented in NBN B 16-520 [31].
Although it has been mentioned that the transition between core- and outerwood is progressive, it was necessary for the purposes of this study to distinguish sub-samples of boards according to the nature of the wood they were made of, which made it necessary for us to fix a transition age. The compromise adopted in the present study was to consider that the transition between core- and outerwood occurs when the cambial age is 15 years; this is also the compromise adopted by [16,24,26,32]. The average cambial age of the 38 × 100 mm² boards (Agecamb) was defined as the age of the ring (counted from the pith) for which roughly 50% of the wood of the board is older, and 50% is younger. This characteristic was not determined on the 70 × 180 mm² boards. The 38 × 100 mm² boards were considered to be exclusively (or almost) made of corewood when their average cambial age was 10 years or less; if Agecamb was 20 years or more, they were considered as mainly composed of outerwood; between these two values, the nature of the boards was considered as mixed.
The physico-mechanical properties considered to determine the potential of wood in structural uses were the density at 12% humidity (ρ12%), the modulus of elasticity in static bending (Em,g, which we will generally call E or stiffness), and the static bending strength (fm). The characteristic values required in the different mechanical strength classes are defined in EN 338 [33]. These values are the percentile 5% for ρ12%12%,k) and fm (fm,k), and the mean for E (Emean).
The physico-mechanical properties of the 38 × 100 mm² and 70 × 180 mm² boards were measured within the facilities of the TERRA Teaching and Research Center (Gembloux Agro-Bio Tech, University of Liège, Liège, Belgium) and of the FCBA Institute of Technology (Bordeaux, France), respectively. Stiffness was determined in accordance with EN 408 [34]. When the boards’ moisture content was different from 12%, Em,g values were adjusted according to the methodology described in EN 384 [35].
After stiffness measurement, the boards were again kept in a conditioned atmosphere and their average moisture content reached the expected 12%. The boards were broken on a test stand and the fm value was determined in accordance with EN 408 [34]. According to EN 384 [35], these values were divided by (150/h)0.2, where h is the height of the boards in mm.

2.2.2. Analysis of the Results

The statistical parameters of position and dispersion of the different board populations considered were calculated using Minitab 17 software (Minitab Inc., State College, PA, USA). Subsequently, the sensitivity of the physical and mechanical properties of boards to tree growth rate is presented graphically and discussed in light of the characteristic values of the mechanical strength classes defined in EN 338 [33].

3. Results and Discussion

3.1. General Statistics

The main descriptive statistics of both lumber populations (depending on their cross section) are presented in Table 3.
Regardless of cross-sectional area, the mean values of E determined on Walloon boards were similar to the values reported in [36] for American lumber (these values varied between 10 and 13 GPa) as well as with the values measured on German Douglas fir lumber [29] (stiffness values of 15,000 MPa are reported in [37], but this author studied much older trees (around 100 years old)). Although [17] do not provide a global average value for their sample of French boards, the E and fm values they present seem—by comparing the means by RWboard class—slightly higher than those we observed. In contrast, [38] report slightly lower values. Finally, the E values measured by [15] on British Douglas fir (i.e., slightly over 9 GPa) are significantly lower than the values measured on other European resources, while the average fm value (34 MPa) is comparable to that measured on Walloon 70 × 180 mm² boards.
At the level of height at which the central area of the 70 × 180 mm² boards was located (i.e., approximately 13 m), it was estimated that there were on average 7–11 fewer growth rings of outerwood compared to the level at which the central area of the 38 × 100 mm² boards from logs three and two was located—respectively cut 6 m or even 10 m lower in the trunk. The lower density values presented by the 70 × 180 mm² boards are therefore logical since, for a given ring width, corewood density is ca. 10% lower than that of outerwood [13,20].
If the values presented in Table 3 are compared to those relating to clear wood specimens taken from the basal log of the same trees (see [20]), E and ρ12% mean values were relatively similar and hardly affected by the material on which the property was measured. Conversely, fm values measured on structural dimensions boards were less than half those observed on clear specimens (on average 97 MPa). The higher sensitivity of fm to features (compared to E) relies on the fact that, as reported in previous studies (e.g., [15]) and as it appeared in the present one, stiffness principally depends on density, whilst strength is mainly driven by knottiness.
Finally, it should be noted that the weighted values of E and fm were respectively 4% and 7% higher than the raw values, which confirms the slight underestimation of the properties induced by taking into account only the transverse slice in the case of the 38 × 100 mm² boards. Concerning ρ12%, the underestimation was less than 2%.

3.2. Impact of the Wood Type

The physico-mechanical properties of corewood, outerwood, and mixed 38 × 100 mm² boards are presented in Table 4.
Compared to the values observed on boards cut from outerwood, the mean E values observed on mixed and corewood boards were 17% and 30% lower, respectively. Regarding fm, these decreases reached 26% and 41%, while they were only 7% and 12% for density. Logically, a one-way ANOVA indicated a very highly significant impact of the type of wood on the boards’ physico-mechanical properties (p = 0.000 for ρ12%, E and fm), confirming the bibliographical information and the relevance of taking into account, where possible, the proportion of corewood and outerwood. Moreover, whether considering E or fm, it appears that more than 75% of the boards taken from outerwood (those of the 2nd, 3rd, and 4th quartiles) had more advantageous properties than those offered by 75% of those taken from corewood (i.e., the first three quartiles). It should also be noted that a 1% increase of fm,k would allow the 184 boards taken from outerwood to be assigned to class C30; this once again demonstrates the excellent mechanical properties of the outerwood of this species.
In this context, corewood proportion should be minimized by maintaining relatively high stocking in the initial phase of stand growth. This underlies the interest of natural regeneration, which seems relatively easy to achieve [39,40]. In addition to improving the intrinsic properties of clear wood, this strategy would also generate, through the beneficial effect of competition observed on the branchiness of the trees studied in this research [21] and in many others (e.g., [10,41,42]), lumber with lower knottiness. In this perspective, however, it would be important to ensure that the maturation dynamics (i.e., the age at which wood acquires its mature characteristics) of relatively dense natural seedlings are similar to those observed in plantations where the individuals are exposed to competition much later. It should also be stressed that natural regeneration should obviously only be considered when the genotype of the stand to be regenerated offers the necessary guarantees in terms of the quality of the resource.

3.3. Impact of the Trees’ Growth Rate—RWtree

Figure 2 illustrates the decrease in density and mechanical performances of the boards due to the increase in growth rate of the trees from which they originated. These decreases were compared with the normative requirements defined in standard EN 338 [33].
As a preamble to the in-depth examination of each graph, the following observations can already be made:
  • individual values of E and fm within each class of RWtree exhibited a large dispersion;
  • the coefficients of determination (r²) between the studied properties and the radial growth rate of the trees were relatively low, being at best around 20%. Considering the same properties measured on clear specimens taken from the same 66 trees, r² values mentioned by [20] were around 10% in outerwood and from 28% to 41% in corewood;
  • density is never a limiting parameter for the use of Douglas fir in structural applications: all the marginal characteristic values (i.e., percentile 5% per RWtree class) observed—except that of the 70 × 180 mm² boards from trees whose RWtree ≥6 mm—allowed access to strength class C30. This acknowledgement is not surprising given the relatively high density of Douglas fir (compared to spruce in particular), the fact this property is predominantly under genetic control [43,44] and only slightly sensitive to growth rate [20,25], and finally because identical density characteristic values define the strength classes of Norway spruce and Douglas fir.

3.3.1. Observations on 38 × 100 mm² Boards

For the seven batches defined according to RWtree and cut from outerwood, only the batch from trees with a RW exceeding 6 mm had an average E value incompatible with C30 grading. As far as fm is concerned, the results can be considered identical after a critical examination of the data. Indeed, the surprisingly low fm,k values of the two lowest RWtree classes were each due to a single board (for which fm was 20.9 and 16.2 MPa, in ascending order of RWtree). These boards were characterized by an average cambial age of 26 and 23 years (which therefore does not formally exclude the presence of corewood) and by very high KAR values, which would even induce the exclusion of one of them according to NBN B 16-520 [31] visual grading. Consequently, in the absence of these two boards, fm,k would increase by more than 30% in the first two classes of RWtree (mean fm values increased by only 3% and 4% if these boards were removed from the sub-sample. This illustrates the very high sensitivity of the 5th percentile to extreme values, especially on small sub-samples such as those considered here), reaching values higher than 30 MPa. Moreover, it should also be noted that if the mechanical properties of the batch of “outerboards” from trees whose RWtree exceeds 6 mm are clearly lower than those of the other batches, the former nevertheless meets the requirements of C18 strength class.
Considering the batches of boards taken from corewood, the characteristic values of the mechanical properties (Emean and fm,k) best met the requirements of strength class C18; these requirements were no longer met beyond an average growth rate of 4.5 to 5 mm (depending on whether fm or E was considered).
The results observed on the 38 × 100 mm² boards corroborate the observations made on clear specimens taken from the same trees [20]: both approaches demonstrated the different sensitivity of core- and outerwood mechanical properties to growth rate. In more practical terms, the results show that enhancing growth mainly affects corewood mechanical properties, with little impact on those of outerwood.

3.3.2. Observations on 70 × 180 mm² Boards

From a qualitative point of view, the trends observed on 70 × 180 mm² boards were identical to those made on the boards with smaller cross-sectional area: the three properties studied here decreased as RWtree increased.
The lower average density of the 70 × 180 mm² boards (compared to that of the 38 × 100 mm² boards) due to an increased proportion of corewood was already discussed in Table 4. If logically it also appears by considering the characteristic values per RWtree class, this decrease in density does not compromise the possibilities of using the wood in construction.
Up to RWtree of 6 mm, Emean values complied with the requirements of the C24 strength class (and even of C30 if RWtree < 5.5 mm). Concerning the batch from the highest RWtree class (>6 mm), excluding the only board with a value of E < 8000 MPa (which according to a visual grading would have been excluded from structural uses because of its knottiness) would be sufficient to raise Emean to over 11,000 MPa—a value which would allow the batch to be assigned to the C24 class.
Finally, if we examine fm,k, six of the seven batches defined on the basis of RWtree were suitable for structural uses. The batch from class [5.5; 6 mm] was heavily penalized by three boards exhibiting fm of less than 15 MPa. Because of their knottiness, two of these boards would have been rejected as part of a visual grading, which would have led to an increase in fm,k above 18 MPa.

3.3.3. Structural Use Ability

Table 5 concludes the analysis of these data by allowing an overview of the structural use potential of the boards as a function of tree growth rate. It is based on the observations made in Figure 2—namely that, for the 21 combinations studied (three types of boards × seven RWtree classes), fm,k was always more limiting than Emean (remembering that, in practice, density never impedes accessing the highest mechanical class). It should however be noted that E is often more important than fm in the dimensioning of structures: The cross sections imposed by the project managers are indeed calculated above all to maintain the deformations of the structure below a given level, which is obviously much lower than that required to break the components of this structure. Table 5 is only valid for the samples studied here and was drawn up on the basis of the “reasoned values” (i.e., taking into account the critical interpretation of the trends observed as carried out in Section 3.3.1 and Section 3.3.2).
Table 5 shows that the batches of 38 × 100 mm² boards taken from corewood had generally poor properties which, with the exception of those from trees with RWtree <4.5 mm (with the exception of the SPA stand, where all individuals displayed a RWtree <4.5 mm, the latter value was exceeded for all dominant trees in the other 10 stands), require individual grading of these boards. In contrast, it appears that, up to a 5.5 mm RWtree, batches of 38 × 100 mm² boards taken from outerwood and batches of 70 × 180 mm² boards could be assigned to strength class C24 or even C30.

4. Conclusions

This research aimed to identify as precisely as possible the influence of growth rate on the physico-mechanical properties of Douglas fir boards—in particular on their suitability for structural use with respect to normative characteristic values.
Remembering that planting densities in the studied stands were relatively high compared to those observed in neighboring countries, it is reassuring to note that in the range of growth rates and cross sections tested, lumber from outerwood offered very good properties, even in trees and stands with the highest growth rates. Conversely, lumber taken from corewood appeared to be rather sensitive to growth rate, and its suitability for structural uses decreased significantly as ring width increased.
Hence, by minimizing both the proportion of corewood and sapwood, increasing rotation length only has advantages from a purely technological point of view. The extent to which these must be subordinated to increased health and climate risks, to the negative impact on the profitability of longer investments, or to the reduction in the adaptation of logs to current industrial tools must now be determined.

Author Contributions

B.J. and J.H. conceived and supervised this research; J.-M.H. and C.P. analyzed the data and wrote the paper.

Acknowledgments

The authors wish to thank A. Bauvin, S. Sliwinski, C. Verheyen and Messrs F. Raskin and A. Vandersteen (SPW), as well as Messrs L. Hadiy and P. Thibaut (ULiège, GxABT) for their technical assistance. The staff of the FCBA Bordeaux, and in particular Didier Reuling, is also thanked for the mechanical tests carried out on the 70 × 180 mm² boards. Y. Brostaux and C. Lesire (ULiège, GxABT) kindly participated in the statistical analyses, only part of which is presented in this article. All the forest managers and owners who made this study possible are also thanked. Finally, we are indebted to two anonymous reviewers for their kind contribution in improving the initial version of the manuscript. This research was granted by the Public Service of Wallonia. The latter is the owner of the data, which therefore are not open to public access.

Conflicts of Interest

The authors declare no conflict of interest. The founding institution (Public Service of Wallonia) had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

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Figure 1. (a) Mean ring widths of the 66 trees (RWtree—squares), measured at 2 m height. For each of the 11 stands, an average RWtree was calculated (circles) on the basis of the six individual values; (b) Frequency distribution of RWtree in classes of 0.5 mm, from [2.5 mm; 3.0 mm] to [7.0 mm; 7.5 mm].
Figure 1. (a) Mean ring widths of the 66 trees (RWtree—squares), measured at 2 m height. For each of the 11 stands, an average RWtree was calculated (circles) on the basis of the six individual values; (b) Frequency distribution of RWtree in classes of 0.5 mm, from [2.5 mm; 3.0 mm] to [7.0 mm; 7.5 mm].
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Figure 2. Density (ρ: a and b), modulus of elasticity (E: c and d), and static bending strength (fm: e and f) at 12% moisture content of the 445 38 × 100 mm² (left) and 261 70 × 180 mm² (right) boards, depending on the growth rate of the trees (RWtree) from which the boards originated. The seven RWtree classes (namely: <3.5 mm; [3.5–4 mm]; [4–4.5 mm]; [4.5–5 mm]; [5–5.5 mm]; [5.5–6 mm] and ≥6 mm) were defined so that each of them contained at least 10 boards. For each property, the dotted lines represent the characteristic values required to comply with (from bottom to the top) strength classes C18, C24 and C30. CW: corewood; OW: outerwood.
Figure 2. Density (ρ: a and b), modulus of elasticity (E: c and d), and static bending strength (fm: e and f) at 12% moisture content of the 445 38 × 100 mm² (left) and 261 70 × 180 mm² (right) boards, depending on the growth rate of the trees (RWtree) from which the boards originated. The seven RWtree classes (namely: <3.5 mm; [3.5–4 mm]; [4–4.5 mm]; [4.5–5 mm]; [5–5.5 mm]; [5.5–6 mm] and ≥6 mm) were defined so that each of them contained at least 10 boards. For each property, the dotted lines represent the characteristic values required to comply with (from bottom to the top) strength classes C18, C24 and C30. CW: corewood; OW: outerwood.
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Table 1. General characteristics of the 11 sampled Douglas fir plantations. Cmean: mean circumference of the Douglas firs; Nha: number of trees per hectare at the time of tree cutting; MACI: mean annual circumference increment; Hdom: dominant height.
Table 1. General characteristics of the 11 sampled Douglas fir plantations. Cmean: mean circumference of the Douglas firs; Nha: number of trees per hectare at the time of tree cutting; MACI: mean annual circumference increment; Hdom: dominant height.
StandForest DistrictN° of Rings on StumpInitial Spacing (m)Initial CompositionCmean (cm)NhaBasal Area (m²/ha)MACI (cm/year)Hdom (m)
SPASpa691.5 × 1.5Pure163174unknown2.336.3
BEAUBeauraing59unknownMixt. with Abies sp.160175362.738.3
VIELVielsalm57unknownPure139188302.835.9
LIBLibin531.5 × 1.5Pure155175353.037.0
FLAFlorenville53unknownMixt. with Larix sp.155225453.036.0
BERBertrix532.0 × 1.5Pure148243423.034.8
FLBFlorenville492.0 × 2.0Pure153211403.336.0
DELFlorenville462.0 × 2.0Pure152158293.535.8
REIFlorenville451.8 × 1.8Mixt. with Picea sp.150170313.634.3
PHBPhilippeville442.0 × 2.3Pure157142283.732.0
PHAPhilippeville412.0 × 2.3Pure143140234.033.1
Table 2. Characteristics of the analyzed boards.
Table 2. Characteristics of the analyzed boards.
Cross Section (mm²)OriginLength (m)Height in Standing Tree (m)Number
38 × 100Log n°2 of 33 trees ([120; 129], [140; 149] and [160; 169])2.2[2.2–4.4]238
38 × 100Log n°3 of 33 trees ([120; 129], [140; 149] and [160; 169])2.2[6.0–8.2]207
70 × 180Log n°5 of 65 trees 14.3[11–15.3]261
1 The smallest tree of stand PHB broke at 13 m height when it was cut.
Table 3. Physical and mechanical properties measured on the 445 38 × 100 mm² and 261 70 × 180 mm² boards studied. The averages for the lowest cross section (38 × 100 mm²) were calculated on the basis of both the raw values (i.e., not weighted according to the radial position of the boards) and the weighted values; the values for the largest cross section (70 × 180 mm²) did not require weighting.
Table 3. Physical and mechanical properties measured on the 445 38 × 100 mm² and 261 70 × 180 mm² boards studied. The averages for the lowest cross section (38 × 100 mm²) were calculated on the basis of both the raw values (i.e., not weighted according to the radial position of the boards) and the weighted values; the values for the largest cross section (70 × 180 mm²) did not require weighting.
Cross Section (mm²)PropertyMeanWeighted MeanStandard DeviationMin.Max.1st Quartile3rd Quartile
38 × 100E (MPa)11,41211,8922547587018,695953313,256
fm (MPa)41.344.115.511.177.929.153.2
ρ12% (kg/m³)49750546401631463531
70 × 180E (MPa)13,047-2359735318,51711,24714,690
fm (MPa)36.1-10.610.664.928.242.4
ρ12% (kg/m³)449-32359527427471
Table 4. Physico-mechanical properties measured on three types of 38 × 100 mm² boards: corewood (Agecamb ≤10 years; n = 168), outerwood (Agecamb ≥20 years; n = 184), or mixed (n = 93).
Table 4. Physico-mechanical properties measured on three types of 38 × 100 mm² boards: corewood (Agecamb ≤10 years; n = 168), outerwood (Agecamb ≥20 years; n = 184), or mixed (n = 93).
PropertyType of WoodMeanStandard DeviationMin.Max.Percentile 5%1st Quartile3rd Quartile
ρ12% (kg/m³)Corewood46634401597417442488
Mixed49238404565429469514
Outerwood52839402631462504556
E (MPa)Corewood94101758587016,1026653806710,699
Mixed11,1461771698314,4417887999212415
Outerwood13,3751938842218,69510,10912,03014,691
fm (MPa)Corewood30.79.911.158.316.024.537.3
Mixed38.612.512.767.916.729.947.1
Outerwood52.413.516.277.929.742.963.8
Table 5. Structural use ability of the studied board batches according to the characteristic values of E and fm and of the growth rate of the trees from which the boards originate.
Table 5. Structural use ability of the studied board batches according to the characteristic values of E and fm and of the growth rate of the trees from which the boards originate.
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Henin, J.-M.; Pollet, C.; Jourez, B.; Hébert, J. Impact of Tree Growth Rate on the Mechanical Properties of Douglas Fir Lumber in Belgium. Forests 2018, 9, 342. https://doi.org/10.3390/f9060342

AMA Style

Henin J-M, Pollet C, Jourez B, Hébert J. Impact of Tree Growth Rate on the Mechanical Properties of Douglas Fir Lumber in Belgium. Forests. 2018; 9(6):342. https://doi.org/10.3390/f9060342

Chicago/Turabian Style

Henin, Jean-Marc, Caroline Pollet, Benoit Jourez, and Jacques Hébert. 2018. "Impact of Tree Growth Rate on the Mechanical Properties of Douglas Fir Lumber in Belgium" Forests 9, no. 6: 342. https://doi.org/10.3390/f9060342

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