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Article

Advance Regeneration of Norway Spruce and Scots Pine in Hemiboreal Forests in Latvia

1
Forestry Faculty, Latvia University of Life Sciences and Technologies, Liela iela 2, LV–3001 Jelgava, Latvia
2
Latvian State Forest Research Institute Silava, Rīgas street 111, LV–2169 Salaspils, Latvia
3
Faculty of Biology, University of Latvia, Jelgavas street 1, LV–1004 Rīga, Latvia
*
Author to whom correspondence should be addressed.
Forests 2020, 11(2), 215; https://doi.org/10.3390/f11020215
Submission received: 8 January 2020 / Revised: 10 February 2020 / Accepted: 11 February 2020 / Published: 13 February 2020
(This article belongs to the Special Issue Natural Disturbance Dynamics Analysis for Forest Ecosystem Management)

Abstract

:
Continuous cover forestry (CCF) aims to emulate small natural disturbances and take advantage of natural regeneration. To implement these management practices successfully, knowledge of advance regeneration under the canopy in different conditions is crucial. Therefore, the aim of this study was to assess the influence of stand inventory parameters of canopy layer (age, basal area, height, and density) on the probability and density of advance regeneration of the Norway spruce (Picea abies (L.) H. Karst.) and Scots pine (Pinus sylvestris L.) in hemiboreal forests in Latvia. The data were obtained from the National Forest Inventory, from a total of 879 plots. In the study, only Norway spruce or Scots pine dominated stands were used and the sampled stand age ranged from 21 to 218 years. The probability of advance regeneration differed between stands dominated by Scots pine versus Norway spruce. The probability and density of the advance regeneration of Norway spruce were positively linked to increased stand age, whereas the probability of the advance regeneration of Scots pine was negatively linked to the basal area of the stand. In stands dominated by Norway spruce and Scots pine on mesic soils, the advance regeneration of Norway spruce has a high density, whereas the advance regeneration of Scots pine is sporadic and scarce.

1. Introduction

A deeper ecological understanding of the structural and functional complexity of forest ecosystems has led to specific management implications and increasing awareness that forests should be governed as complex adaptive systems [1,2,3]. Ecosystem-based silviculture approaches promote the improvement of adaptability of forest ecosystems and increase the resilience of forests to future uncertainties related to climatic, social, and economic challenges [4]. The concepts of management approaches such as close-to-nature or continuous cover silviculture systems first appeared in the 18th and 19th century in Central Europe when overexploited monocultures failed to maintain forest vitality and soil fertility [5]. The first book in which small-scale group selection was suggested as way to maintained structural diversity of mixed stands by Karl Gayer was published at the end of 19th century [6]. his concept was further developed by Engler [7], Möller [8], Mlinšek [9], and Schütz [10,11,12]. Continuous cover forestry (CCF) aims to emulate the small-scale tree mortality pattern (gap/patch dynamics) to maintain forest stands, soil integrity, and productivity [5,13]. The CCF system relies on natural regeneration, which preserves the genetic variation of the local gene pools in a tree population [14,15] and the costs of establishment are low [16,17]. The advance regeneration will form a new stand in a canopy layer opening, which is created by selective cutting [18]; hence, occurrence and specific traits are crucially important for the success of CCF [19].
The overall regeneration pattern of trees species can be characterized by species-specific resource-use strategies based on morphophysiological and ecological traits [20]. In hemiboreal forest zones in Latvia, Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) H. Karst.) are the two most common coniferous tree species which grow in pure and mixed stands according to the National Forest Inventory (NFI) [21,22]. Scots pine is a light-demanding tree species adapted to growth in low-nutrient habitats [23]. Wave-like regeneration of Scots pine has been observed following natural or human-made disturbances which expose bare mineral soil and substantially increase light availability for the understory [24,25,26,27,28]. As a light-demanding tree species, advance regeneration of Scots pine only develop under a low-density canopy [29,30]. For example, in the Caledonian pinewoods of Scotland, on dry podzolic soils, the optimal canopy tree density for natural Scots pine regeneration was 63 trees per hectare, but on wet soils, 20 trees per hectare [29]. In Sweden, the ingrowth of Scots pine occurs when the basal area of the canopy layer is 4 to 8 m2 ha−1, and in the case of a higher basal area, the ingrowth success of pine drastically decreases [30]. As a light-demanding tree species, Scots pine more strongly responds to increasing radiation than does a shade-tolerant tree species like the Norway spruce [31]. Shade-tolerant tree species have a lower specific leaf mass, photosynthetic rate at saturation, root-to-shoot ratio, and light compensation point than light-demanding tree species [32]. In contrast to Scots pine, Norway spruce seedlings successfully recruit and develop under partial shade conditions [33,34,35,36]. These characteristics help the trees to establish and survive for a longer time period in shaded understory [18]. Small gaps in the canopy facilitate the regeneration of shade-tolerant tree species such as Norway spruce, rowan (Sorbus aucuparia L.) [29], European beech (Fagus sylvatica L.), and silver fir (Abies alba Mill.) [37].
Stand characteristics (basal area, species composition, and age) significantly affect advanced regeneration patterns. Canopy trees influence the biotic and abiotic site variables, like light transmittance [18,29,35,38,39,40,41], below-ground root competition for water and nutrients [42,43], soil organic layer, litter accumulation [44], and seed crop yield [19], which are important factors in determining establishment, growth, and survival of advance regeneration. The development of advance regeneration is significantly altered by disturbances (natural or human-made) which create openings in canopy layer [45,46,47]. Thinnings of the canopy of various intensities are an efficient way to improve the establishment and growth of advance regeneration [43,48] as well as to maintain regeneration for tree species with different shade tolerances [49].
In the eastern Baltic Sea region, forests are commonly managed using the clear-cutting system [50,51]. However, in many forest areas, clear-cuts are forbidden due to nature protections and recreation as the primary management objectives [52]. Hence, these forests are likely to be managed according to the CCF principles. To provide the best results, management guidelines for the CCF system must be adjusted to the local (ecological and economic) conditions [5,53]. In the hemiboreal forest zone, several studies have been conducted to analyse the height growth of advance regeneration of Scots pine [54] and Norway spruce following partial harvest, clear-cut, or windthrow [55,56,57,58]. However, the information about the relationships between stand characteristics (dominant tree species, basal area, and stand age) and the occurrence of advance regeneration is limited in hemiboreal forests. Therefore, the aim of our study was to assess the influence of the stand inventory parameters on the occurrence and density of advance regeneration of Norway spruce and Scots pine. Such information would be of vital importance of the silvicultural recommendations as well as the modeling of stand development to compare different alternatives in strategic planning and policy decision making. We hypothesised that the probability of advance regeneration is similar in stands dominated by Norway spruce and Scots pine. We also hypothesised that based on stand age, the density and probability of the advance regeneration could be characterized.

2. Materials and Methods

2.1. Study Area and Sample Design

Latvia is located in the hemiboreal forest zone, 55°–58° N, 21°–28° E [22]. According to the NFI, forests cover approximately 52% of its territory. The most common tree species are Scots pine, birch (Betula pendula Roth and B. pubescens Ehrh.), and Norway spruce, and they comprise 28.3%, 27.8%, and 17.6% of the total forest area, respectively [21]. According to the Latvian Environment, Geology, and Meteorology Centre, during 1981–2010, the mean annual temperature was 6.4 °C. The coldest month was February, with a mean temperature of −3.7 °C, and the warmest month was July, with a mean temperature of 17.4 °C. The mean annual precipitation amount was 692 mm and the wettest months were July and August, with 77 and 76 mm of precipitation, respectively.
We selected stands dominated by Norway spruce or Scots pine (>50% of the stand basal area), growing in mesotrophic soil conditions with a normal moisture regime (Hylocomniosa and Oxalidosa forest type). These are the two most common site types in Latvia, occupying ~42% of the total forest area, according to NFI [21]. In these forest site types, the herbaceous layer is dominated by common wood sorrel (Oxalis acetosella) and European blueberries (Vaccinium myrtillus) but the moss layer by glittering woodmoss (Hylocomium splendens), and wind-blown mosses (Dicranum spp.) [59]. In this study, we used NFI data [21]. The NFI sampling plots are systematically placed to cover all territory of Latvia. Additional sampling plots were established in old-growth Norway spruce and Scots pine-dominated stands in nature protection areas where could be observed multi-cohort structure, deadwood of different sizes and decay classes and no indication about past management activities could be observed [60], and mean stand age corresponded to over-mature forests according to NFI [21]. Depending on tree size at the breast height (dbh), trees were measured at four different subplot levels [42]. The size of the main sampling plot was 500 m2, where all trees with a dbh greater than 14 cm were measured. The advance regeneration (dbh < 2.1 cm) was identified in a subplot of 60 m2 (20 × 3 m), which was systematically placed at the centre of the main sampling plot. Trees with dbh 6.1–14.0 cm were measured in a subplot of 100 m2 within the main sampling plot. Trees with dbh 2.1–6.0 cm were measured in a subplot of 25 m2 within the main sampling plot. The height of five trees of each tree species from the canopy and understory layers were measured. In our study, we selected, in total, 879 plots (measured during period 2014–2018) (Figure 1). The age of the studied stands ranged from 21 to 218 years.

2.2. Data Analysis

We tested the effect of the five explanatory parameters of the stand canopy layer (age, height, diameter, basal area, and density) and their interaction with the dominant tree species regarding the probability and density of advance regeneration. Each stand inventory parameter was included in a separate model as the multicollinearity is high between the explanatory variables. To assess the effects of stand properties on the probability of advance regeneration (presence/absence), we applied a binomial generalized linear model (GLM). To assess the effects of the stand properties on the density of advance regeneration, we implemented linear regression. To fit a normal distribution and reduce the data heterogeneity, the density values were log transformed. The separate models were built to investigate the effects of explanatory variables on the density and the probability of advance regeneration in general (including all tree species) and specifically for the advance regeneration of Scots pine and Norway spruce. The best model was selected based on the Akaike information criterion value (AIC) [61]. All calculations were completed using R, v3.5.0 (R Foundation for Statistical Computing, Vienna, Austria) [62].

3. Results

In stands dominated by Scots pine and Norway spruce, an average of 2000 trees of advance regeneration per hectare were observed in all age groups (Figure 2). In stands dominated by Scots pine, the mean density of the advance regeneration was rather similar between all analysed age groups, varying between 2825 ± 1771 (mean ± standard deviation) and 3379 ± 4033 trees per hectare. In stands dominated by Norway spruce, greater variations were observed, ranging from 2592 ± 3555 to 5080 ± 3920 trees per hectare (Figure 2). No distinct trend of increasing or decreasing density of advance regeneration with increasing stand age was observed.
The density of the advance regeneration of Norway spruce was considerably higher than that of Scots pine in all age groups (Figure 3). The occurrence of advance regeneration of Norway spruce (minimum of 100 trees per hectare) was observed in 61% and 50% of stands dominated by Scots pine and Norway spruce, respectively. In addition to Norway spruce, rowan was a common tree species in advance regeneration, observed in 60% and 55% of stands dominated by Scots pine and Norway spruce, respectively. In contrast, the occurrence of advance regeneration of Scots pine was observed only in 6.8% and 2.9% of stands dominated by Scots pine and Norway spruce, respectively. Moreover, in addition to Norway spruce, rowan and common oak (Quercus robur) were widely common tree species in stands dominated by Scots pine and Norway spruce.
The GLM showed that the probability of advance regeneration was significantly affected by the stand height, dominant tree species, and the interaction between these two factors (Table 1). In stands dominated by Scots pine and Norway spruce, the advance regeneration had contrasting slopes (Figure 4). In stands dominated by Scots pine, the probability of advance regeneration was high (>0.9) and it decreased when the mean height of the stand increased above 25 m. In contrast, in stands dominated by Norway spruce, the probability of advance regeneration steadily increased with an increased mean stand height.
The probability of advance regeneration for spruce was significantly affected by the stand age, dominant tree species, and interaction between these two factors (Table 1). In stands dominated by both Norway spruce and Scots pine, the probability of advance regeneration of Norway spruce increased with the increasing stand age; yet, the slopes differed (Figure 5). The probability of advance regeneration of spruce was higher in stands dominated by Scots pine by up to ~70 years of stand age.
The GLM model shows that the probability of advance regeneration of Scots pine was significantly affected by canopy basal area, dominant tree species, and the interactions between these two factors (Table 1). In stands dominated by Scots pine and Norway spruce, the probability of advance regeneration of Scots pine decreased with the increasing basal area (Figure 6). The advance regeneration of pine was observed only in stands with a basal area of <20 m2 ha−1 and in stands with a higher basal area, the probability of advance regeneration was close to zero.
The linear model shows that the density of the advance regeneration was significantly affected by the stand density and interaction between the stand density and dominant tree species (Table 2). The density of the advance regeneration of spruce was significantly affected by the stand age, dominant tree species, and the interactions between these two factors (Table 2). None of the tested explanatory variables had a significant effect on the density of the advance regeneration of pine.

4. Discussion

In stands dominated by Norway spruce and Scots pine on dry-mesic soil, the advance regeneration of an average of 2000 trees per hectare was observed in all age groups (from 20 to 161+ years) (Figure 2), suggesting that light, nutrients, and water availability are sufficient for seedling establishment [63,64]. Norway spruce was one of the most common tree species in the advance regeneration. The high abundance of Norway spruce is likely explained by suitable growth conditions in nutrient-rich sandy loam soils in the Hylocomniosa and Oxalidosa forest types [59,65] and adaptation to growth in shade conditions [34,37,55]. In addition to Norway spruce, rowan was a widely common tree species in the advance regeneration. Young rowan trees are shade-tolerant and can be successfully established under the canopy [66]. Rowan timber has a low market value; hence, the advance regeneration of this tree species is commonly removed during thinning operations in Latvia.
The probability models of the advance regeneration (Table 1) revealed substantial differences between the stands dominated by Scots pine and Norway spruce (Figure 4). We assume that these differences are linked to species-specific stand development patterns [67], which determine the light transmittance, moisture regime, and nutrient cycling in the stand [68,69]. Subsequently, growth conditions for the advance regeneration in the understory change over time as the stand develops [69]. A high probability of advance regeneration in young Scots pine stands (Figure 2 and Figure 4), could be explained by a high light transmittance in young Scots pine stands that gradually decreases as the stand develops [70]. The amount of light that penetrates the canopy layer and reaches the understory is a crucial factor for seedling establishment, survival, and development [18,29].
In contrast to stands dominated by Scots pine, in Norway spruce-dominated stands, light availability for the understory considerably increases with stand age, when the tree density decreases due to natural processes like self-thinning, competition, and disturbances [71,72], or due to human-made silvicultural operations (thinning and partial harvesting). Commonly, in stands dominated by Norway spruce in Latvia, at least two thinnings at the of age of 30 years and 50–60 years are carried out before the final harvest at age above 80 years [73]. We assume that the sharp increase of probability of advance regeneration of Norway spruce in stands dominated by Norway spruce (Figure 5), could be linked to the stand thinning.
The highest probability and density of advance regeneration of Norway spruce were observed in Norway spruce stands of the oldest age group (161+ years) (Figure 5 and Figure 7). The stands older than 161+ years were located in nature conservation areas where management activities have not been conducted in at least the last 50 years. Establishment and growth of advance regeneration might have been enhanced by the gradual senescence of canopy trees and the subsequent gap formation [74], which occur when an individual or a small group of canopy trees dies due to autogenic or allogenic processes [75]. In such conditions, when the canopy gaps are rather small, regeneration of shade-tolerant tree species, such as Norway spruce, is enhanced [18].
The density of advance regeneration in stands dominated by Scots pine and Norway spruce had similar patterns; in both cases, it was negatively linked to increasing stand density (Figure 8). This result is most likely explained by a higher competition for light, water, and nutrient resources with the canopy trees in denser stands [30,76,77]. Overall, Scots pine-dominated stands have a considerably higher light transmittance than Norway spruce forests [78]; however, in many cases Scots pine-dominated stands growing on fertile soils are two-storied (the second story dominated by Norway spruce) [59]. It is likely, therefore, that the relationship between the density of advance regeneration in stands dominated by Scots pine has a significantly sharper decline than in Norway spruce forests.
The density of advance regeneration of Norway spruce in stands dominated by Scots pine did not change with increasing stand age (Figure 7), suggesting that regeneration conditions are favorably stable for Norway spruce establishment. On fertile soils, the ingrowth of naturally regenerated Norway spruce is a common characteristic in stands dominated by Scots pine [73].
Overall, the advance regeneration of Scots pine was scarce in all the analyzed age groups, and it sharply decreased with the increasing canopy basal area (Figure 3 and Figure 6.). Studies have shown that light transmittance decreases with increasing stand basal area, which hampers the natural regeneration of Scots pine [29,30,78,79]. Abundant regeneration of Scots pine under the canopy is enhanced by disturbance, which not only increases the light availability in the understory but also expose bare mineral soil; both these factors are crucial for pine seedling establishment [29,30]. Studies have shown that in the long-term, without substantial disturbances, Scots pine dominance and regeneration can be maintained only on dry and nutrient-poor soils where the establishment of other tree species is hindered by unsuitable soil conditions [28,80]. In our study, the stands dominated by Scots pine were found to be growing in mesic growth conditions where the ground vegetation is dominated by thick layer of mosses, heath (Vaccinium spp)., and other perennial plant species [59]. Presumably, the lack of ground vegetation disturbances [28,80], and high competition for aboveground- and belowground resources with canopy trees and ground vegetation [54,81], hampers the natural regeneration of Scots pine. Ground vegetation is removed following forest fires; however, this has been a rather rare disturbance in the last century [82]. Our study results are in line with the results obtained by Hale et al. [79], which also observed that natural regeneration of Scots pine can be achieved when the basal area is less than 24 m2 ha−1 (Figure 6). Hence, to improve the natural regeneration of Scots pine under canopy, manipulation of the stand basal area and soil scarification is one straightforward possibility [76,79,83].

5. Conclusions

The probability and density patterns of the advance regeneration in stands dominated by Norway spruce and Scots pine are substantially different. This suggests that the CCF silviculture system must be adapted to the species-specific dominant trees to take advantage of the probability and density patterns of advance regeneration. Norway spruce is more suitable for the CCF silviculture system than Scots pine, due to the high density of advance regeneration, especially in older stands, suggesting a high opportunity for ingrowth. However, in such growth conditions in stands dominated by Scots pine, the ingrowth of Scots pine is negligible due to the very low density of advance regeneration of this tree species. Hence, the regeneration and ingrowth in stands dominated by Scots pine most will likely be formed by other tree species, such as Norway spruce, common oak, or silver birch. Most likely, a moderate-severity disturbance is needed to enhance the regeneration of Scots pine. Further research could assess the light requirements for the successful growth of Norway spruce and Scots pine in different growth conditions and different stand development stages.

Author Contributions

Conceptualization and idea, A.J. and J.D.; methodology, G.S. and E.B.; data statistics, D.E.; writing—original draft preparation, M.K.; writing—review and editing, A.J., J.D., S.L. and I.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by European Regional Development Fund, Forest Sector Competence Centre project: “Technologies for efficient transfer of genetic gain in plant production and forestry” (No. 1.2.1.1/18/A/004).

Acknowledgments

We thank two anonymous reviewers for their constructive comments and suggestion, which help to improve the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The locations of the sampling plots in the territory of Latvia.
Figure 1. The locations of the sampling plots in the territory of Latvia.
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Figure 2. The density of advance regeneration in Norway spruce- and Scots pine-dominated stands in Latvia.
Figure 2. The density of advance regeneration in Norway spruce- and Scots pine-dominated stands in Latvia.
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Figure 3. The density of advance regeneration of Norway spruce and Scots pine in different stand age groups.
Figure 3. The density of advance regeneration of Norway spruce and Scots pine in different stand age groups.
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Figure 4. The influence of mean height (m) on the occurrence probability of advance regeneration in Scots pine and Norway spruce-dominated stands. The grey area represents the ±95% confidence interval.
Figure 4. The influence of mean height (m) on the occurrence probability of advance regeneration in Scots pine and Norway spruce-dominated stands. The grey area represents the ±95% confidence interval.
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Figure 5. The influence of stand age on the probability of advance regeneration of Norway spruce in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
Figure 5. The influence of stand age on the probability of advance regeneration of Norway spruce in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
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Figure 6. The influence of the basal area on the probability of advance regeneration of Scots pine in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
Figure 6. The influence of the basal area on the probability of advance regeneration of Scots pine in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
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Figure 7. The influence of stand age on the density of advance regeneration of Norway spruce in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
Figure 7. The influence of stand age on the density of advance regeneration of Norway spruce in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
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Figure 8. The influence of tree density on the density of advance regeneration in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
Figure 8. The influence of tree density on the density of advance regeneration in Scots pine and Norway spruce-dominated stands. The grey area represents a ±95% confidence interval.
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Table 1. Parameter estimates of the best (by AIC) fitted binomial generalized linear model (GLM) models for advance regeneration. (Df): degree of freedom, *: interaction between factors.
Table 1. Parameter estimates of the best (by AIC) fitted binomial generalized linear model (GLM) models for advance regeneration. (Df): degree of freedom, *: interaction between factors.
Dependent VariableExplanatory VariablesChi-SquaredDfp-Value
Regeneration in general (all tree species)Mean height22.21<0.001
Dominant tree species20.31<0.001
Mean height * Dominant tree species19.11<0.001
Regeneration of Norway spruceStand age32.11<0.001
Dominant tree species8.51<0.01
Stand age * Dominant tree species8.31<0.01
Regeneration of Scots pineBasal area7.61<0.01
Dominant tree species5.31<0.05
Basal area * Dominant tree species0.110.6
Table 2. Parameter estimates of the best (by AIC) fitted linear models. (Df): degree of freedom, *—interaction between factors.
Table 2. Parameter estimates of the best (by AIC) fitted linear models. (Df): degree of freedom, *—interaction between factors.
Dependent VariableExplanatory VariablesSum of SquaresDfF-Valuep-Value
Log regeneration density in general (all tree species)Intercept11,945.1110,827.8<0.001
Stand density11.7110.5<0.01
Dominant tree species312.70.09
Stand density * Dominant tree species19.7117.8<0.001
Log regeneration density of Norway spruceIntercept1600.1311326.1<0.001
Stand age17.77114.7<0.001
Dominant tree species1.3211.10.2
Stand age * Dominant tree species10.0118.2<0.01

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Luguza, S.; Snepsts, G.; Donis, J.; Desaine, I.; Baders, E.; Kitenberga, M.; Elferts, D.; Jansons, A. Advance Regeneration of Norway Spruce and Scots Pine in Hemiboreal Forests in Latvia. Forests 2020, 11, 215. https://doi.org/10.3390/f11020215

AMA Style

Luguza S, Snepsts G, Donis J, Desaine I, Baders E, Kitenberga M, Elferts D, Jansons A. Advance Regeneration of Norway Spruce and Scots Pine in Hemiboreal Forests in Latvia. Forests. 2020; 11(2):215. https://doi.org/10.3390/f11020215

Chicago/Turabian Style

Luguza, Solveiga, Guntars Snepsts, Janis Donis, Iveta Desaine, Endijs Baders, Mara Kitenberga, Didzis Elferts, and Aris Jansons. 2020. "Advance Regeneration of Norway Spruce and Scots Pine in Hemiboreal Forests in Latvia" Forests 11, no. 2: 215. https://doi.org/10.3390/f11020215

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