Skip to main content
Download PDF

Thinning effects on stand growth, carbon stocks, and soil properties in Brutia pine plantations

Carbon Balance and Management volume 18, Article number: 6 (2023) Cite this article

Abstract

Background

The purpose of this study was to investigate the effects of thinning on stand growth, carbon (C) sequestration, and soil properties in Brutia pine (Pinus brutia Ten.) plantations. The study was conducted at two experimental sites -the Antalya-Kaş and Isparta-Eğirdir plantation areas- in Turkey between 1985 and 2015. Different thinning intensities -unthinned (control), moderate, and heavy- were replicated in four blocks. We determined the C in the living biomass, litter, soil, and some soil features for each experimental parcel.

Results

We found no statistically significant difference in total stand volume between thinning-intensity treatments 30 years after thinning. This may be due to more light availability and less competition between trees and faster tree-diameter growth rate after thinning, thus explaining the volume in the treated parcels compared to the control over time. The C stocks in the biomass, litter, and soil were not significantly influenced by the thinning intensity. The nutrients in the litter and soil, and other soil properties, were not significantly different among thinning parcels. This implies that the C and other nutrients in the litter and soil are related to the stand volume and biomass, which were not changed by thinning in time.

Conclusion

This finding is important in terms of showing that there was no change in total stand volume by thinning, which has been debated in the literature. This information is useful for forest managers when determining thinning strategy.

Background

In addition to wood, forests provide many other goods and services, such as erosion control, carbon (C) sequestration, recreation, oxygen release, and aesthetic value. Thinning is one of the important silvicultural treatments used to maintain all these benefits. For instance, forests provide a useful means for the mitigation of global warming [1, 2], thus C sequestration is included in most forest management regimes. Therefore, efforts must be made to avoid impairing C and other nutrient turnover and soil fertility during the maintenance work involved in efficient forest management [3,4,5]. The practice of thinning -the removal of some of the trees from a stand as an intervention in forest growth- is very important in Mediterranean forests, where soil fertility is low and climatic conditions can be harsh [6,7,8].

Thinning improves light access in forest stands and speeds up litter decomposition by decreasing the density at the canopy level. It is commonly understood that thinning changes soil environments and the C and nutrient turnover rate in forest ecosystems [8, 9]. However, the amounts of C and nutrients and their turnover rates in forest stands is thought to be strongly related to biomass production [10,11,12,13,14]. To understand this better, this needs to be investigated, together with the effects of thinning on tree growth rates.

The main C stocks in forest ecosystems are the living tree biomass, dead organic matter and soil [Intergovernmental Panel on Climate Change (IPCC)], [15, 16]. Soil C and other nutrient stocks form a long-lived pool that requires studying over a period of time [2, 17]. Despite some studies having been published on the effects of thinning on forest C pools, few have been conducted on estimating the total C stock over the time, considering all forest repositories [18, 19]. Moreover, there have been conflicting results on the effects of thinning on wood production in forest stands. For instance, Hassenauer et al., [20] reported that, based on the literature, thinning generally does not increase total production at the end of the rotation period, although it can shift the distribution of growth to larger trees. However, Keyser and Zarnoch [21] reported that previous studies had shown a negative response of the aboveground live-tree C pool to thinning in the short and long term.

On the other hand, investigations of C stocks and nutrient sequestration at the tree species-specific level are essential for the reliable reporting of changes in C stocks. In this context, several tree species, including Mediterranean conifers, have been studied [7, 8]. However, although the effects of thinning on the total volume of Brutia pine (Pinus brutia Ten.) -a Mediterranean pine- have been investigated [22], there have been no studies published on the associated C sequestration. Brutia pine is a fast-growing tree species and has mean annual increment (MAI) more than 15 m3ha−1 at the age of 30 years in plantations [23]..

Brutia pine is an important tree species, not only because of its wide distribution in Turkey (5,736,371 ha, 25% of the total forested area), but also because of its wood, with 30% of Turkey’s industrial wood being produced in natural and plantation forests of Brutia pine [General Directorate of Forestry (GDF)], [24]. Furthermore, C sequestration in forest areas has been taken into consideration in management plans prepared by the Turkish GDF. Hence, the relationship between C sequestration in forests (in both the living biomass and the soil) and thinning as a silvicultural treatment needs to be studied in detail.

In this study, we aimed to reveal how different intensities of thinning affect the stand volume and C stocks in the living biomass, dead organic matter, and soil, as well as some soil properties, in Brutia pine forests. The results were expected to provide new scientific understandings to add to the knowledge base, while the findings will be useful for decision-makers in determining the most appropriate silvicultural strategy to be applied where C sequestration is combined with other objectives in management plans.

Methods

Study area

The study area was located in the southwestern part of Turkey, and was conducted in four blocks at two sites -Antalya-Kaş-Tekircik and Isparta-Eğirdir-Aşağı Narlı- in Turkey both in Brutia pine plantations that were established between 1969 and 1973 (Fig. 1).

Fig. 1
figure 1

Locations of the experimental sites

Full size image

Research area has typical Mediterranean climate. Annual total precipitation for the Aşağı Narlı site is 1155 mm. The annual average, monthly average maximum and minimum temperatures were measured as 17.3, 24.7 and 12.1 ºC, respectively. These values were measured as 1200 mm and 17.9, 26.9 and 10.7 °C, respectively, for Tekircik site [25]. Meteorological data were calculated by interpolating the data of Karacaören (377 m asl.) and Kaş (5 m asl.) weather stations, which are the closest stations for Aşağı Narlı and Tekircik sites, respectively [24]. According to the Erinç method, cimate is humid in the both sites [26].

The Aşağı Narlı site is on conglomerate, while the Tekircik site is on limestone bedrock [27]. The Aşağı Narlı site consisted of sandy loam, sandy clay loam, sandy clay and clay loam; Tekircik site is located on silty clay loam, silty clay, clay loam and clay textured soils. The soils of both sites are unsalted and have alkaline reaction.

Typical woody taxa of Mediterranean vegetation, such as Brutia pine, kermes oak (Quercus coccifera L.), olive (Olea europaea L.), sandalwood (Arbutus andrachne L.), big nut (Arbutus unedo L.).), myrtle (Myrtus communis L.), laurel (Laurus nobilis L.), carob (Ceratonia siliqua L.), rosary (Styrax officinalis L.), redbud (Cercis siliquastrum L.) and oleander (Nerium oleander L.) types have been identified in both sites. Table 1 provides some of the other properties of the sites.

Table 1 Some properties of the experimental sites
Full size table

Experimental design and sampling procedure

The experiment was established through a randomized block design in 1985 and three treatments -a control, and heavy and moderate selective thinning- were performed in each block. Each treatment was represented by a parcel sized of 0.1 ha (33.3 × 33.3 m). Thinning intensity is generally quantified as the proportion of the total basal area of removed trees to the total basal area of the stand [20, 28]. We applied thinning in two intensities, cutting 35–40 and 15–20% of the basal areas, which can be described as “heavy” and “moderate” in thinning below [29, 30], respectively; there was no thinning in the control parcels. The post-thinning residues were harvested and removed from the forest. Thinning was repeated successively in 1990 and 2005 to maintain the initial density. Measurements of stand growth, based on individual tree diameter at breast height (dbh) and height, were performed in 2015. Total stand volume for different level of thinning intensities was calculated by summing of removed volume with final stand volume. Litter sampling was carried out at three different points in each parcel using a 25 × 25 cm frame. Then, a single sample was obtained for each parcel by mixing these three samples (i.e., 4 blocks × 3 thinning intensities × 3 replications = 36 litter samples). Soil samples were taken from the same points the litter samples were taken from in each parcel using a 1,000-cm3 cylinder, at three depth intervals 0–10, 10–20, and 20–30 cm (i.e., 4 blocks × 3 thinning intensities × 3 replications × 3 depth intervals = 108 soil samples).

Laboratory analysis

The soil samples were air-dried, weighed, and sieved using a 2-mm-mesh screen. The dry bulk density was determined using the core method [31]. The soil texture was determined using the hydrometer method [32]. We determined the moisture in the soil samples based on drying at 105 °C. The organic C was determined using the Walkley–Black wet-oxidation method [33]. The pH was determined using an electrometric method in a soil/water solution in a ratio of 1:5 (v/v) [34]. The electrometric method was used to determine the electrical conductivity (EC) in a 1:5 (m/v) solution of soil/water [35], and the total calcium carbonate (CaCO3) was determined using a Scheibler calcimeter [36]. We determined nitrogen (N) using a modified Kjeldahl method [37], phosphorus (P) using a modified Bray and Kurtz No. 1 method, potassium (K) [33], Ca and magnesium (Mg) by the ammonium acetate method [38], and sulphur (S) by the turbidity method [39].

The litter samples were dried at 65 °C for 24 h before being weighed and ground up. A LECO CNH TruSpec elemental analyzer (Leco Corporation, St. Joseph, MI, USA) was used for the C analysis. The N was determined using a modified Kjeldahl method employing a FOSS 8400 automatic distillation unit [37]. Wet-ashed samples in nitric-perchloric acid were used to measure the P and S in a Shimadzu UV-1800 spectrophotometer using vanadomolybdophosphoric yellow color and turbidimetric methods, respectively. A Shimadzu 6601-F atomic absorption spectrometer was used to measure the Ca and Mg, and a Jenway PFP 7 flame photometer to measure the K [40].

Data analysis

The stem volume of the trees in the experimental sites was determined using Eq. 1, based on the dbh and height, as developed by [23] for Brutia pine plantations. An adjustment factor (df = 1.007987) was used for the logarithm.

$$ln\, V=\mathrm{ln}\, (-2.0775)+ 1.6768\,\mathrm{ ln }\,d+ 0.8451\,\mathrm{ln}\,h$$
(1)

where V = tree volume (dm3), d = dbh (cm), and h = tree height (m).

The C stocks in forest ecosystems comprise: i) the above- and belowground biomass; ii) dead organic matter (i.e., deadwood and litter); and iii) soil organic matter [15, 16] (Eq. 2). We calculated the C sequestration by thinning intensity (treatment) in the biomass (aboveground + belowground) using Eq. (3). The total stem volume in the thinned parcels was obtained by adding the biomass removed via thinning for each related treatment to the final stand volume in the measurement year. For the control parcels, naturally eliminated trees were included in the total volume calculation. The C in the litter and soil was calculated using Eqs. (4) and (5), respectively. The soil depth for the C calculations was taken as 30 cm. The total biomass was estimated using Eq. (6).

$$Total \, C\, = \,C_{Biomass} \, + \,C_{Litter} \, + \,C_{Soil}$$
(2)
$$C_{Biomass} \, = \,V \, * \, D \, * \, BEF1 \, * \, (1\, + \,R) \, * \, CF_{B}$$
(3)
$$C_{Litter} \, = \,TL*CF_{L}$$
(4)
$$C_{Soil} \, = \,TS* \, CF_{S}$$
(5)
$$Total \, Biomass\, = \,\,V \, * \, BEF1 \, * \, (1\, + \,R),$$
(6)

where CBiomass = C stocks in the current biomass (t C ha−1); CLitter = C stocks in the litter (t C ha−1); CSoil = C stocks in the soil (t C ha−1); V = stem volume (m3 ha−1); D = basic wood density (t m−3); BEF1 = biomass expansion factor for converting the stem volume (including bark) into aboveground biomass (dimensionless); R = root:shoot ratio (dimensionless); CFB = C fraction in the dry biomass [t C (tons dry biomass)−1]; TL = total litter (t ha−1); CFL = C fraction in dry litter [t C (tons dry litter)−1]; TS = total soil (t ha−1); and CFS = C fraction in soil [t C (tons soil)−1].

We used a biomass expansion factor (BEF1) of 1.2209 for the aboveground biomass, as given by Sun et al. [41] and a basic wood density (D) of 0.478, as calculated by As et al. (2001) for Brutia pine. The root:shoot ratio used was 0.229, as calculated by Ruiz-Peinado et al. [42] for Pinus halepensis, which is biologically very close to Brutia pine, and for the C fraction in the dry biomass (CFB), we used 0.51, as provided by the Land Use, Land-Use Change, and Forestry and Agriculture, Forestry, and Other Land Use guidelines for Turkish conifers [16].

An analysis of variance (ANOVA) was performed to test for differences in the C sequestration, biomass, litter, and soil from the different thinning intensities. Duncan tests were performed for multiple comparisons of the means that were found to be statistically significant in the analyses. For the statistical analyses, we used SPSS software [43]. Soil features, such as C and nutrient concentrations, were taken as dependent variables to investigate the effects of thinning on the accumulation of C and nutrients in the soil and biomass.

Results and discussion

Effects of thinning on stand growth, and soil and litter properties

Stand growth

The results obtained in the 2015, 30 years after treatment, showed that the number of living trees in the control parcels was significantly higher than in the treatment parcels. The number of remaining trees in the control parcels also decreased in time, during the study period due to competition among the trees, but the number still remained higher than in the treatment parcels. Therefore, the decrease in stocking in the control parcels by natural process was relatively slower than in the treatment parcels. The number of trees differed between parcels thinned moderately and heavily. However, this difference was not statistically significant (Table 2), possibly due to the high variance of the measured data. These results are generally compatible with those of a previous study by Kalıpsız [28].

Table 2 Stand parameters measured 30 years after treatment (in 2015) and their statistics by thinning intensity (mean ± SE)
Full size table

We observed a difference in mean stand diameter based on the thinning intensity. Indeed, diameter was one of the stand parameters most affected by neighborhood relations. For instance, Varmola and Salminen [44] reported a difference in mean dbh by thinning intensity after a period of 23–25 years in Pinus sylvestris stands. Similarly, Reukema and Bruce [45] determined a mean dbh of trees cut at the final harvest in thinned Douglas fir stands that was 5–35% larger than that of unthinned stands. Other studies have shown the significant effect of thinning on dbh [7, 28, 46,47,48]. In contrast to dbh, some previous studies have indicated that stand height increment and mean dominant height are not influenced by thinning [8, 48,49,50]. However, we calculated a significantly higher mean stand height for the thinned stands compared with the control stands (Table 2). This may be due to the fact that the trees removed by thinning were mostly smaller than the overall stand average (thinning below) and so a mechanical increase was observed in the mean height of the residual stand.

We found no statistically significant difference in total volume between the treatments 30 years after thinning (Table 2, Fig. 2). This may be the result of a faster growth rate in diameter after thinning (age of thinning 12–16 years), which would affect the volume in the treated parcels compared to the control over time. Indeed, Brutia pine has been considered to be a fast-growing species with a mean volume increment of more than 10 m3 year−1 and with the mean volume increment reaching a maximum at 25–35 years, depending on the site index [23]. In addition, Brutia pine is a light-depended species [51], and after thinning, the trees receive more light and have less competition, which accelerates the growth of canopy and stem, and the increase in growth quickly compensate for the negative effect of removed trees on total volume in unit area.

Fig. 2
figure 2

Total volume by thinning intensity 30 years (trees 42–46 years old) after treatment

Full size image

Published findings by various researchers in this regard include, for instance, Hamilton [52] found no significant difference in the total volume of Norway spruce between four different thinning intensities after a period of 44 years. Similarly, Olume [50] determined that thinned and unthinned stands produced the same total volume of gross annual growth for Douglas fir 35 years after commercial thinning. Additionally, Hasenauer et al. [20] reported that, based on Wiedemann [53], Assmann [54], and Pienaar [55], thinning generally did not increase total volume but, shifted the distribution of growth to larger, more highly valued trees.

On the other hand, some studies have reported the reducing effect of thinning on stand growth. For example, Cochran and Barrett [56] found that thinning to a spacing wider than 9.3 ft (2.83 m) significantly reduced growth in both the stand basal area and the cubic volume per acre 35 years after treatment in ponderosa pine stands. Similarly, Bravo-Oviedo et al. [57] reported that moderate thinning (average residual basal area of 65–79% that in the control plots) from below in Scots pine stands caused a significant reduction (28%) in stand biomass.

Soil properties

No significant differences (p > 0.05) were found in the bulk density, sand, silt, or clay fractions, pH, EC, total CaCO3, organic C, N, P, K, Ca, Mg, or S contents in the soil based on thinning intensity (Table 3). Similarly, Genç et al. (2012) found that thinning applied in black pine (Pinus nigra Arnold) stands made no significant difference to some soil properties, including pH, and the sand, silt, clay, pH, organic matter, N, P, K, Na, Ca, and Mg contents. Tufekcioglu et al. [58] also reported that thinning did not significantly affect the organic-matter content of the soil in young beech (Fagus orientalis Lipsky.) stands. In another study, conducted by Tolunay [59], selective thinning in young Scots pine stands did not significantly affect the organic-C content of the soil. However, in contrast to our findings, in a study carried out in oak [Quercus petrea (Matlusch) Lieb.] coppice forests, the soil organic-C and total-N contents, and pH at depths of 0–20, 20–40, and 40–60 cm were significantly (p < 0.001) increased as a result of increased thinning intensity. This indication was explained by increased litter decomposition and biological activity, and the mixing of more dead herbaceous sap material (including the roots) with the soil due to the increased amount of light after thinning [60]. Likewise, in the study carried out to determine the effect of thinning on soil and litter properties in the short term in Cunninghamia lanceolata plantations, it was determined that soil organic matter, total nitrogen, available nitrogen, available potassium and available phosphorus density and pH value increased depending on the increase in thinning intensity [61]. In another study, conducted in Scots pine and spruce forests in northern and southern Sweden, it was reported that the C and N contents of the soil increased in all three areas subjected to different thinning severities 15–16 years after treatment [62]. In addition, Johnson et al. [63] found a significant change in the soil C for all thinning intensities in a broad-leaved mixed forest in the long term (16 years after treatment) and in pure Pinus taeda L. stands in the short term (5 years). In this study, the absence of any difference in terms of soil properties can be explained by the disappearance of the effect of thinning in the long term.

Table 3 Changes in soil properties resulting from thinning intensity (mean ± SE)
Full size table

Litter properties

Significant differences (p < 0.05) were found in terms of the litter K and S concentrations by thinning intensity, whereas the differences were not significant (p > 0.05) in terms of litter mass, and the C, N, P, Ca, and Mg concentrations (Table 4). The K and S concentrations in the litter were found to be lower in the heavily thinned areas than the others. Likewise, Güner and Güner [64] reported no significant effect of thinning on the litter mass in P. nigra afforestation. Contrary to our results, Makineci [60] found decreased (p < 0.001) total amounts of litter (leaf + fermentation + humus in kilograms per hectare) due to increased thinning intensity in a study conducted in oak coppice forests. In a study conducted by Cheng et al., it was determined that litter mass and total nitrogen density decreased depending on the increase in thinning intensity [61]. In another study, thinning applied at different intensities in Scots pine plantations did not affect the concentration of C in the litter [7]. In our study, the insignificant difference in litter mass between the thinning intensities can be explained by the fact that there was no difference in the total stem volumes in the treated plots. Therefore, in many studies, it has been reported that litter, and thus the litter mass, is directly related to the aboveground biomass [10, 37, 65].

Table 4 Change in litter properties by thinning intensity (mean ± SE)
Full size table

Effects of thinning on carbon and nutrient stocks

Carbon stocks in ecosystems

The C accumulated in the ecosystem was calculated as the sum of C in the biomass + litter + soil. The ANOVA results showed that the C stocks in the ecosystem did not differ with thinning intensity (Fig. 3). This may be due to the total biomass not being affected by thinning intensity in the experimental area. Therefore, the C sequestration and the turnover rate of the other plant nutrients in the forest ecosystem largely depended on the tree growth rate and, thus, the total basal area and volume stock in a given time period. Indeed, for example, litter and C sequestration in the forest ecosystem is calculated as a function of forest biomass [12, 13, 42, 66, 67]. Thus, the stand growth and total volume are important in terms of C calculations.

Fig. 3
figure 3

Comparison of C stocks by thinning intensity for different C pools (each column representing the mean value of the C stock for the related treatment). Error bars indicate ± SE The C stocks sharing the same letter in columns are not significantly different from each other at the α = 0.05 level, according to the ANOVA results for the biomass, litter, soil, and ecosystem

Full size image

Similar to the ecosystem, the amounts of C in the biomass, litter, and soil, which are subcomponents of the ecosystem, were not affected by thinning intensity (Fig. 3), with calculations for the control, moderate, and heavy thinning intensities giving 151.1, 132.5, and 133.3 t C ha−1 in the biomass, 9.4, 11.2, and 14.7 t C ha−1 in the litter, and 73.5, 65.4, and 62.3 t C ha−1 in the soil, respectively (Fig. 3).

Nutrient stocks in soil and litter

We found no significant differences (p > 0.05), based on thinning intensity, in the C, N, P, K, Ca, Mg, and S stocks in the litter and soil (Fig. 2, Table 5). Likewise, in studies performed on Scots pine [68] and black pine [7], thinning applied at different intensities did not significantly affect the litter or soil C stocks (p > 0.05). In another study, conducted by Cachinero-Vivar et al. [69], the effect of thinning on the soil C stock was found to be insignificant in Scots pine and black pine (p > 0.05), whereas it was significant in maritime pine (p < 0.05), with the highest C stock determined in moderately thinned plots. Güner & Güner [64] reported no significant effects of thinning on the litter C stock in black pine afforestation areas, but a significant effect on the soil C stock. In our study, the reason we found no significant difference in the litter and the C and nutrient stocks stored in the soil based on thinning intensity can be explained by the relevance of these amounts with tree biomass. Because an increase in below- and aboveground tree biomass led to litter and fine-root decomposition, the accumulation of organic C and nutrients in the soil increased. However, in our study, no significant difference was determined in either the C accumulation or the nutrient stocks because the stem volumes, and thus the biomass, in the treatment plots were no different, resulting in similar litter and fine-root decomposition.

Table 5 Change in nutrient stocks in litter and soil by thinning intensity (mean ± SE)
Full size table

Conclusions

Brutia pine is one of the important tree species in the Mediterranean region, and covers 5.7 million ha of the forest area in Turkey. It is a fast-growing tree species that produces many benefits, mainly wood and C sequestration. In this sense, it is important to understand the effects of the alternative silvicultural regimes applied to Brutia pine forests, on stand volume, C sequestration, and soil properties for the better management of the other benefits. The results obtained from this study show that, thinning does not have a significant effect on the total stand volume, C sequestration, or litter and soil properties. These results suggest that management plans can be prepared in order to achieve other purposes in Brutia pine forests without having to consider thinning intensity as being deleterious. For instance, forest manager can apply the thinning regardless of intensity to shift the distribution of growth to larger, more highly valued trees and increase the overall economic value from plantation. In addition, our findings contribute to a better understanding of the effects of thinning on total volume, which has been a source of controversy in the literature.

Availability of data and materials

The datasets generated during and/or analyzed during the current study available from the corresponding author on reasonable request.

Abbreviations

C:

Carbon

IPCC:

Intergovernmental Panel on Climate Change

GDF:

General Directorate of Forestry

dbh:

Tree diameter at breast height

EC:

Electrical conductivity

N:

Nitrogen

P:

Phosphorus

K:

Potassium

Ca:

Calcium

M:

Magnesium

S:

Sulphur

t:

Ton (Mg)

ha:

Hectare

BEF1:

Biomass expansion factor

D:

Wood density

ANOVA:

An analysis of variance

SE:

Standard error

References

  1. Dixon RK, Brown S, Houghton RA, Solomon AM, Trexler MC, Wisniewski J. Carbon pools and flux of global forest ecosystem. Sci. 1994;263:185–90. https://doi.org/10.1126/science.263.5144.185.

    Article  CAS  Google Scholar 

  2. Lal R. Soil carbon sequestration impacts on global climate change and food security. Science. 2004;304(5677):1623–7. https://doi.org/10.1126/science.1097396.

    Article  CAS  Google Scholar 

  3. Genç M. Forest tending [Orman Bakımı]. Isparta: Süleyman Demirel University Press; 2011.

    Google Scholar 

  4. Odabaşı T, Çalışkan A, Bozkuş F. Forest tending. [Orman Bakımı]. İstanbul: İstanbul University Press; 2004. (In Turkish).

    Google Scholar 

  5. Saatçioğlu F. Forest tending, fourth edition [Orman Bakımı, 4. baskı]. İstanbul: İstanbul University Press; 1971.

    Google Scholar 

  6. Peñuelas J, Sardans J. Global change and forest disturbances in the Mediterranean Basin: breakthroughs, knowledge gaps, and recommendations. Forests. 2021;12(5):603. https://doi.org/10.3390/f12050603.

    Article  Google Scholar 

  7. Ruiz-Peinado R, Bravo-Oviedo A, López-Senespleda E, Montero G, Río M. Do thinnings influence biomass and soil carbon stocks in Mediterranean maritime pinewoods? Eur J For Res. 2013;132(2):253–62. https://doi.org/10.1007/s10342-012-0672-z.

    Article  CAS  Google Scholar 

  8. Settineri G, Mallamaci C, Mitrović M, Sidari M, Muscolo A. Effects of different thinning intensities on soil carbon storage in Pinus laricio forest of Apennine South Italy. Eur J For Res. 2018;137(2):131–41. https://doi.org/10.1007/s10342-017-1077-9.

    Article  CAS  Google Scholar 

  9. Bowden RD, Davidson E, Savage K, Arabia C, Steudler P. Chronic nitrogen additions reduce total soil respiration and microbial respiration in temperate forest soils at the Harvard Forest. For Ecol Manag. 2004;196(1):43–56. https://doi.org/10.1016/j.foreco.2004.03.011.

    Article  Google Scholar 

  10. Clark DA, Brown S, Kicklighter DW, Chambers JQ, Thomlinson JR, Ni J, Holland EA. Net primary production in tropical forests: an evaluation and synthesis of existing field data. Ecol App. 2001;11:371–84.

    Article  Google Scholar 

  11. Durkaya A, Durkaya B, Makineci E, Orhan I. Aboveground biomass and carbon storage relationship of Turkish pines. Fresenius Environ Bull. 2015;24(11):3573–83.

    CAS  Google Scholar 

  12. Erkan N, Çömez A, Aydın AC, Denli Ö, Erkan S. Litterfall in relation to stand parameters and climatic factors in Pinus brutia forests in Turkey. Scand J For Res. 2018;33:338–46. https://doi.org/10.1080/02827581.2017.1406135.

    Article  Google Scholar 

  13. Matala J, Kellomaki S, Nuutinen T. Litterfall in relation to volume growth of trees: analysis based on literature. Scand J For Res. 2008;23(3):194–202. https://doi.org/10.1080/02827580802036176.

    Article  Google Scholar 

  14. Zhou G, Guan L, Wei X, Zhang D, Zhang Q, Yan J, Wen D, Liu J, Liu S, Huang Z, Kong G, Mo J, Yu Q. Litterfall production along successional and altitudinal gradients of subtropical monsoon evergreen broadleaved forests in Guangdong. China Plant Ecol. 2007;188:77–89. https://doi.org/10.1007/s11258-006-9149-9.

    Article  Google Scholar 

  15. IPCC. Good practice guidance for land use, land-use change and forestry. In: Penman J, Gytarsky M, Hiraishi T, Krug T, Kruger D, Pipatti R, Buendia L, Miwa K, Ngara T, Tanabe K, Wagner F, editors. IGES. Hayama: IPCC/OECD/IEA/IGES; 2023.

    Google Scholar 

  16. IPCC. IPCC Guidelines for national greenhouse gas inventories guidelines for national greenhouse gas inventories. In: Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K, editors. The National greenhouse gas inventories programme. Hayama: IGES; 2006.

    Google Scholar 

  17. Post WM, Kwon KC. Soil carbon sequestration and land-use change: processes and potential. Glob Chang Biol. 2000;6(3):317–27.

    Article  Google Scholar 

  18. D’Amato AW, Bradford JB, Fraver S, Palik BJ. Forest management for mitigation and adaptation to climate change: insights from long-term silviculture experiments. For Ecol Manage. 2011;262:803–16.

    Article  Google Scholar 

  19. Jonard M, Misson L, Ponette Q. Long-term thinning effects on the forest floor and the foliar nutrient status of Norway spruce stands in the Belgian Ardennes. Can J For Res. 2006;36:2684–95.

    Article  CAS  Google Scholar 

  20. Hassenauer H, Burkhart H, Amateis RL. Basal area development in thinned and untinned loblolly pine plantations. Can J For Res. 1997;27:265–71. https://doi.org/10.1139/x96-163.

    Article  Google Scholar 

  21. Keyser TL, Zarnoch SJ. Thinning, age, and site quality influence live tree carbon stocks in upland hardwood forests of the Southern Appalachians. For Sci. 2012;58(5):407–18. https://doi.org/10.5849/forsci.11-030.

    Article  Google Scholar 

  22. Erkan N, Aydın AC, Eler Ü. Thinning-growth relationships in Pinus brutia Ten. plantations in Southwestern part of Turkey [Güney-Batı Anadolu Bölgesindeki kızılçam (Pinus brutia Ten.) kültür ormanlarında değişik silvikültürel uygulamalara göre artım ve büyüme ilişkileri]. Turk J For Res. 2017;4(2):90–9. https://doi.org/10.17568/ogmoad.335617. (In Turkish).

    Article  Google Scholar 

  23. Usta HZ. A study on the yield of Pinus brutia Ten. plantations [Kızılçam (Pinus brutia Ten.) ağaçlandırmalarında hasılat araştırmaları]. Ankara: Forest Research Institute, Tech Bull; 1991. p. 219 (In Turkish).

    Google Scholar 

  24. GDF. Forestry statistics in Turkey. 2019. https://www.ogm.gov.tr/tr/ormanlarimiz/resmi-istatistikler Accessed 26 May 2021.

  25. GDM. Meteorological data. Ankara: Turkish General Directorate of Meteorology; 2020.

    Google Scholar 

  26. Özyuvacı N. Meteorology and climatology [Meteoroloji ve Klimatoloji]. Istanbul: Istanbul University Faculty of Forestry Press; 1999. p. 369 (In Turkish).

    Google Scholar 

  27. GDMRE. 1:500,000 Scale geological inventory map series of Turkey. 2022, http://www.mta.gov.tr/v3.0/hizmetler/500bas. Accessed 18 Feb 2022.

  28. Kalıpsız A. Forest yield. [Orman Hasılat Bilgisi]. İstanbul: İstanbul University Press; 1982. (In Turkish).

    Google Scholar 

  29. Mäkinen H, Isomäki A. Thinning intensity and growth of Norway spruce stands in Finland. Forestry. 2004;77:349–64.

    Article  Google Scholar 

  30. Yang L, Wang J, Geng Y, Niu S, Tian D, Yan T, Liu W, Pan J, Zhao X, Zhang C. Heavy thinning reduces soil organic carbon: evidence from a 9-year thinning experiment in a pine plantation. CATENA. 2022;211: 106013.

    Article  CAS  Google Scholar 

  31. BS EN ISO 11272. Soil quality-determination of dry bulk density. London: The British Standards Institution Press; 2014.

    Google Scholar 

  32. Kroetsch D, Wang C. Particle size distribution, in section VI, soil physical analysis. In: Carter MR, Gregorich EG, editors. Soil sampling and methods of analysis. 2nd ed. Boca Raton: CRC Press; 2008.

    Google Scholar 

  33. TS 8341. Soils-determination of potassium. Ankara: Turkish Standards Institution Press; 1990. p. 4 (In Turkish).

    Google Scholar 

  34. TS ISO 10390. Soil quality-Determination of pH. Ankara: Turkish Standards Institution Press; 2013. (In Turkish).

    Google Scholar 

  35. TS ISO 11265. Soil quality-determination of electrical conductivity. Ankara: Turkish Standards Institution Press; 1996. (In Turkish).

    Google Scholar 

  36. TS 8335 ISO 10693. Soil quality-determination of carbonate content-Volumetric method. Ankara: Turkish Standards Institution Press; 1996. (In Turkish).

    Google Scholar 

  37. Foss T. Sample preparation/burning process. Application note. 2014.

  38. TS 8338. Soils-determination of phosphorus (Modified bray and Kurtz No 1. Method). Ankara: Turkish Standards Institution Press; 1990. p. 5 (In Turkish).

    Google Scholar 

  39. Kacar B. Soil analysis. [Toprak Analizleri]. Ankara: Ankara University Faculty of Agriculture Education, Research and Development Foundation Press; 1994. (In Turkish).

    Google Scholar 

  40. Kacar B, İnal A. Plant analysis. [Bitki Analizleri]. Ankara: Nobel Press; 2008. (In Turkish).

    Google Scholar 

  41. Sun O, Uğurlu S, Özer E. Determination of biomass of Pinus brutia Ten [Kızılçam (Pinus brutia Ten) türüne ait biyolojik kütlenin saptanması]. Ankara: Forest Research Institute; 1980. (In Turkish).

    Google Scholar 

  42. Ruiz-Peinado R, del Rio M, Montero G. New models for estimating the carbon sink capacity of Spanish softwood species. For Syst. 2011;20(1):176–88.

    Google Scholar 

  43. SPSS v.22.0®. SPSS 22.0 guide to data analysis. Upper Saddle River: Prentice Hall; 2015.

    Google Scholar 

  44. Varmola M, Salminen H. Timing and intensity of precommercial thinning in Pinus sylvestris stands. Scand J For Res. 2004;19:142–51.

    Article  Google Scholar 

  45. Reukema DL, Bruce D. Effects of thinning on yield of Douglas-Fir: concepts and some estimates obtained by simulation. U.S.D.A. Forest service, pacific northwest forest and range experiment station, technical report PNW-58. 1977.

  46. Erkan N, Aydın AC. Effects of spacing on early growth rate and carbon sequestration in Pinus brutia Ten. plantations. For Syst. 2016;25:1–11. https://doi.org/10.5424/fs/2016252-09290.

    Article  Google Scholar 

  47. Hebert F, Krause C, Plourde PY, Achim A, Pregent G, Menetrier J. Effect of tree spacing on tree level volume growth, morphology, and wood properties in a 25-year-old Pinus banksiana plantation in the boreal forest of Quebec. For. 2016;7:276. https://doi.org/10.3390/f7110276.

    Article  Google Scholar 

  48. Lin JC, Chiu CM, Lin YJ, Liu WY. Thinning effects on biomass and carbon stock for young Taiwania plantations. Sci Rep. 2018;8:3070. https://doi.org/10.1038/s41598-018-21510-x.

    Article  CAS  Google Scholar 

  49. Del Río M, Calama R, Cañellas I, Roig S, Montero G. Thinning intensity and growth response in SW-European Scots pine stands. Ann For Sci. 2008;65:308. https://doi.org/10.1051/forest:2008009.

    Article  Google Scholar 

  50. Omule SAY. Growth and yield 35 year after commertially thinning 50-year-old Douglas-fir. Victoria: B.C. Ministary of Forests and Lands Research; 1988.

    Google Scholar 

  51. Boydak M, Dirik H, Çalıkoğlu M. Biology and silviculture of Turkish Red Pine (Pinus brutia Ten.) Ormancılığı Geliştirme ve Orman Yangınları ile Mücadele Hizmetlerini Destekleme Vakfı Yayını. Ankara: Lazer Ofset Matbaası; 2014. p. 228.

    Google Scholar 

  52. Hamilton GJ. The Bowmont Norway spruce thinning experiment 1930–1974. Forestry. 1976;49(2):109–21. https://doi.org/10.1093/forestry/49.2.109.

    Article  Google Scholar 

  53. Wiedemann E. Ertragskundliche und waldbauliche Grundlagen der Forstwirtschaft. Frankfurt am Main: J.D. Sauerländer.s Verlag; 1951.

    Google Scholar 

  54. Assmann E. The principle of forest yield study. Oxford: Pergamon Press; 1970.

    Google Scholar 

  55. Pienaar LV, Shiver BD. An analysis and models of basal area growth in 45-year-old unthinned and thinned slash pine plantations plots. For Sci. 1984;30(4):933–42. https://doi.org/10.1093/forestscience/30.4.933.

    Article  Google Scholar 

  56. Cochran PH, Barrett JW. Thirty-five-year growth of thinning and unthinned Ponderosa pine in the Methow Valley of northern Washington, vol. Res Pap PNW-RP-502. Portland: U. S. Department of Agriculture, Forest Service, Pasific Northwest Research Station; 1998.

    Google Scholar 

  57. Bravo-Oviedo A, Ruiz-Peinado R, Modrego P, Alonso R, Montero G. Forest thinning impact on carbon stock and soil condition in Southern European populations of P. sylvestris L. For Ecol Manag. 2015;357:259–67. https://doi.org/10.1016/j.foreco.2015.08.005.

    Article  Google Scholar 

  58. Tufekcioglu A, Güner S, Tilki F. Thinning effects on production, root biomass and some soil properties in a young oriental beech stand in Artvin. Turkey J Environ Biol. 2005;26(1):91–5.

    CAS  Google Scholar 

  59. Tolunay D. Effects of stand treatments on nutrient cycling in young Scots pine (Pinus sylvestris L.) stands on Aladağ Mountain in Bolu. [Aladağ’da (Bolu) sıklık çağındaki sarıçam mesçerelerinde bakımların madde dolaşımına etkileri]. PhD Dissertation. İstanbul: İstanbul University, Graduate School of Sciences; 1997. (In Turkish).

  60. Makineci E. Long term effects of thinning on soil and forest floor in a sessile oak (Quercus petrea (Matlusch) Lieb.) forest. J Environ Biol. 2005;26(2):257–63.

    Google Scholar 

  61. Cheng X, Yu M, Li Z. Short term effects of thinning on soil organic carbon fractions, soil properties, and forest floor in Cunninghamia lanceolata plantations. J Soil Sci Environ Manag. 2018;28:21–9. https://doi.org/10.5897/JSSEM2017.0661.

    Article  Google Scholar 

  62. Olsson AB, Staaf H, Lundkvist H, Bengtsson J, Rosén K. Carbon and nitrogen in coniferous forest soils after clear-felling and harvests of different intensity. For Ecol Manag. 1996;82:19–32.

    Article  Google Scholar 

  63. Johnson DW, Knoepp JD, Swank WT, Shan J, Morris LA, Van Lear DH, Kapeluck PR. Effects of forest management on soil carbon: results of some long-term resampling studies. Environ Pollut. 2002;116:201–8.

    Article  Google Scholar 

  64. Güner ŞT, Güner D. Changes in carbon stocks of soil and forest floor in black pine plantations in Turkey. J For Res. 2021;32(1):339–47. https://doi.org/10.1007/s11676-019-01073-x.

    Article  Google Scholar 

  65. Çömez A, Tolunay D, Güner ŞT. Litter and the effects of thinning and seed cutting on carbon input into the soil in Scots pine stands in Turkey. Eur J For Res. 2019;138(1):1–14. https://doi.org/10.1007/s10342-018-1148-6.

    Article  Google Scholar 

  66. Brando PM, Nepstad DC, Davidson EA, Trumbore SE, Ray D, Camargo P. Drought effects on litterfall, wood production and belowground carbon cycling in an Amazon forest: results of a throughfall reduction experiment. Philos Trans Roy Soc B Biol Sci. 2008;363(1498):1839–48. https://doi.org/10.1098/rstb.2007.0031.

    Article  Google Scholar 

  67. Ranger J, Gerard F, Lindemann M, Gelhaye D, Gelhaye L. Dynamics of litterfall in a chronosequence of Douglas-fir (Pseudotsuga menziesii Franco) stands in the Beaujolais mounts (France). Ann For Sci. 2003;60:475–88.

    Article  Google Scholar 

  68. Ruiz-Peinado R, Bravo-Oviedo A, Montero G, del Río M. Carbon stocks in a Scots pine afforestation under different thinning intensities management. Mitig Adapt Strateg Glob Change. 2016;21:1059–72. https://doi.org/10.1007/s11027-014-9585-0.

    Article  Google Scholar 

  69. Cachinero-Vivar AM, Palacios-Rodríguez G, Lara-Gómez MA, Navarro-Cerrillo RM. Thinning effect of C sequestration along an elevation gradient of Mediterranean Pinus spp. plantations. Forests. 2021;12:1583. https://doi.org/10.3390/f12111583.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank the Turkish General directorate of Forestry for supporting this study.

Funding

No funding was received for conducting this study.

Author information

Authors and Affiliations

  1. Faculty of Forestry, Bursa Technical University, 16310, Bursa, Turkey

    Neşat Erkan

  2. Department of Forestry, Ulus Vocational School, Bartın University, Ulus, 74600, Bartın, Turkey

    Şükrü Teoman Güner

  3. Southwest Anatolian Forest Research Institute, 07010, Antalya, Turkey

    Ali Cem Aydın

Authors
  1. Neşat Erkan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Şükrü Teoman Güner
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ali Cem Aydın
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

All the authors have made substantial contribution towards the successful completion of this manuscript. NE: conceptualization, methodology, data collection, formal analysis, data curation, writing—original draft, writing—review and editing, visualization, ŞTG: conceptualization, methodology, data collection, writing—original draft, writing—review and editing, laboratory analyses, ACA: data collection, visualization. All the authors read and approved the final manuscript.

Corresponding author

Correspondence to Neşat Erkan.

Ethics declarations

Competing interests

The authors have no competing interests to declare that are relevant to the content of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Erkan, N., Güner, Ş.T. & Aydın, A.C. Thinning effects on stand growth, carbon stocks, and soil properties in Brutia pine plantations. Carbon Balance Manage 18, 6 (2023). https://doi.org/10.1186/s13021-023-00226-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13021-023-00226-0

Keywords