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iForest - Biogeosciences and Forestry
vol. 8, pp. 67-72
Copyright © 2015 by the Italian Society of Silviculture and Forest Ecology
doi: 10.3832/ifor0940-007

Research Articles

Effect of size and surrounding forest vegetation on chemical properties of soil in forest gaps

Mehmet Özcan (1)Corresponding author, Ferhat Gökbulak (2)

Introduction 

Forest openings are special habitats differing from the surrounding forest environment and having a significant effect on forage production ([12], [11]), plant diversity and species composition ([29], [13], [10]), seedling establishment and growth ([23]), climatic parameters ([31]), and soil chemical properties ([10], [33], [36]). Gap size influences especially ambient and soil temperatures, solar radiation, wind speed, and soil moisture. Carlson & Groot ([9]) reported that both seasonal average soil temperatures and soil temperature extremes increased as gap size increased and greater temperature extremes occurred in larger openings. Similarly, Fernald et al. ([11]) found greater soil moisture, soil and air temperatures in the interspaces than underneath dead and alive tree canopies. Similar results were also reported in other studies ([21], [31], [33], [27]). Soil moisture and temperature affect not only litter decomposition but also other processes occurring in the soil. Muscolo et al. ([23]) found that medium-sized gaps had a higher soil temperature and photosynthetically active radiation transmittance, and lower soil moisture than small-sized gaps and organic matter (OM) decayed more rapidly in the medium gap than in the small gap. Indeed, higher soil moisture and temperature conditions can favor the rapid decomposition of litter materials and, hence, the nutrient cycling in the openings.

Seedling establishment and plant growth in the forest openings depend not only on the microclimatic conditions within the gaps but also on the distribution of soil nutrients, since the size of the forest gaps has an effect on physical and chemical properties of the soil and on the substrate availability. Chunyu & Xiuhai ([10]) found a positive correlations between gap size and both soil bulk density and total N content, while negative relations were found between gap size and water content, OM in litter, and soil NH4+. Muscolo et al. ([22]) reported that C (%), P (%), and OM contents in the soil decreased significantly as gap size increased. In contrast, Thiel & Perakis ([36]) studied extractable NH4+ and NO3- pools, net N mineralization and nitrification rates, and NH4+ and NO3- ion exchange resin (IER) concentrations in the gaps, finding no significant differences between 0.4 and 0.1 ha gaps for most of the studied parameters. Besides gap size, the surrounding forest cover also plays a significant role in the productivity of forest openings by influencing nutrient dynamics in the soils. Chunyu & Xiuhai ([10]) found that soil OM content, total N+3 and total K+ were greater in the forest gaps than under a Pinus koraiensis canopy. Rhoades et al. ([29]) examined the soil properties of forest openings and surrounding forests in Kentucky’s Knobs region and reported that soil pH, extractable cations, bulk density, and silt content were higher and extractable P was lower in the openings compared to the forest soils.

A number of studies have been conducted in forest openings to determine the effect of gap size and the surrounding forest cover on soil chemical properties and nutrient dynamics ([12], [29], [28], [33]), though the results are not always consistent with each other ([14]). In fact, different tree species in the surrounding canopy have been reported to differently affect the soil chemical characteristics in the gaps ([5], [15], [32], [40], [39], [19]). Moreover, gap size of the openings analyzed may have determined differences among the results of the aforementioned studies. Furthermore, harvesting practices carried out in the gaps may be an additional confounding factor. Indeed, some studies conducted into artificial forest openings ([30], [22], [23]) have demonstrated that the soil compaction due to harvesting activities (e.g., logging machines) may affect the hydrological, physical and chemical properties of the soil, as well as the decomposition and mineralization processes, determining an increase in the surface runoff and nutrient leaching, poor aeration, and low moisture capacity and porosity in the soil ([23]). Finally, Bartsch ([7]) and Scharenbroch & Bockheim ([33]) found that gaps had less cations as compared to the surrounding forest stands due to nutrient leaching.

Limited studies are available in Turkey on soil and herbaceous vegetation characteristics in forest openings ([38], [35], [3], [8], [6]). In this context, the objective of this study was to determine the effect of gap size and the vegetation type in the surrounding forest on selected chemical soil properties (pH, EC, OM content, and Na+, K+, Ca+2, Mg+2, N+3, P-PO4-3 concentration) in a broadleaved mixed forest ecosystem.

Material and methods 

Study site

The study site was located in the Yuvacik watershed in Izmit, Turkey (40° 32′-40° 41′ N and 29° 29′-30° 08′ E - Fig. 1). The site has a humid, moderate temperature and oceanic climate with no summer water deficit, according to the Thorntwaite classification system ([25]). The average annual precipitation is 1038.7 mm, mostly concentrated between October and March. The average annual temperature is 9.5 °C. The warmest month is July with a mean temperature of 18.7 °C, and the coldest is January with a mean temperature of 0.4 °C. Soils developed mainly from marble, limestone, and schist parent materials.

Fig. 1 - Location of the study site.

The study was conducted between 2005 and 2006 and included 31 forest openings, ranging between 848 and 1160 m a.s.l. in elevation and between 1.44 to 37.73 ha in size ([24]). All forest openings were located on a flat terrain and were surrounded by beech stands or a mixture stand of different forest trees including beech and oaks.

Sample collection and analyses

Forest openings were selected and positioned on a topographical map with a scale of 1:25000 using actual land-use maps, forest management plan, and GIS technology, and divided into three size groups: 0-5 ha, 5-15 ha, and >15 ha. To minimize the edge effect, 20-m long transects were placed across the openings at least 25 m apart from the forest edge.

Soil samples were collected at 0-20 cm soil depth along the transects. The number of soil samples collected in each gap varied depending on its size. For gaps smaller than 2.1 ha, samples were collected every 4 m along a single transect, while for gaps larger 2.1 ha two transects were established and five soil samples taken for each. A total of 120 soil samples were collected from the 0-5 ha gaps, 90 samples from the 5-15 ha gaps and 70 samples from the > 15 ha gaps.

Samples were air-dried, sieved through a 2 mm mesh, and analyzed for EC and pH (soil/water ratio of 1/5) using a WTW Multiline P4 universal meter, and total N+3 by LECO FP-328 model full automatic N+3 measurement device. Exchangeable Na+, K+, Ca+2, and Mg+2 were extracted from soil samples using 1 N ammonium acetate solution and measured using a Shimadzu l 6601-F (6600) model atomic absorption equipment ([2]). Extractable P-PO4-3 was determined according to the molibdophosphoric blue color method using a Beckman DU 530 model UV spectrophotometer at 660 mµ wavelength as milligram per liter ([20]). In order to estimate soil OM content, soil organic carbon was measured using the Walkley and Black method, and multiplied by a conversion factor of 1.72 ([17], [34], [22]).

Experimental design and analysis

The experiment was arranged in a two-way factorial, completely randomized block design with sub sampling. Factors were gap size (3 levels: 0-5 ha, 5-15 ha, and >15 ha) and surrounding stand type (2 levels: beech stand and a mixture stand of different forest trees including beech and oak trees). Analysis of variance (ANOVA) was carried out, and differences among means were verified by the Tukey’s test (α = 0.05). In order to meet the assumption of normality and homoscedasticity among treatments, arcsine transformation was applied on percentage data and square root transformation on numerical values, whenever necessary ([41]).

Results 

Mean pH values averaged over the surrounding forest stand types were 5.93, 5.80, 5.96 for gaps with sizes 0-5 ha, 5-15 ha, and >15 ha, respectively, with no significant differences after ANOVA (P = 0.184). Contrastingly, surrounding forest vegetation types affected soil pH significantly (P = 0.044), with mean values of 5.93 and 5.87 for gaps surrounded with beech and mixed forests, respectively. Significant interaction was found between gap size and the surrounding forest type for soil pH (P < 0.001 - Fig. 2a). Moreover, differences in mean pH values between beech and mixed stands were significant in gaps larger than 5 ha after Tukey’s test (Fig. 2a).

Fig. 2 - Mean soil pH (a), EC (b), OM (c), and Na+ (d) values in forest gaps of different sizes surrounded with different forest types. Different letters indicate significant differences among the means after Tukey’s test (P < 0.05). Error bars represent the standard error of the mean.

Soil EC values were significantly affected by the size of forest openings (P < 0.001), with mean values of 209, 163, and 154 µmhos cm-1 for the gaps of 0-5 ha, 5-15 ha, and >15 ha, respectively. Soils of the latter two classes had similar though significantly lower EC values than soils from 0-5 ha forest gaps (P = 0.001). EC values were similar in the openings surrounded by both forest vegetation types, with means of 181 µmhos cm-1 for gaps surrounded by beech forests and 180 µmhos cm-1 for gaps surrounded by mixed forest (P = 0.331). Differences in mean EC values between the surrounding forest types were significant only in gaps > 15 ha (P < 0.001 - Fig. 2b). As for this gap size class, gaps surrounded by mixed stands had a greater EC than those surrounded by beech stands. On the other hand, a decreasing trend in mean EC values was observed as the gap size increases for both forest types, though it was statistically significant only for gaps surrounded by beech forests (Fig. 2b).

Soil OM content showed significant changes with respect to the forest gap sizes (P < 0.001), with mean values of 8.37 % for 0-5 ha gaps, 6.85 % for 5-15 ha gaps, and 8.78 % for >15 ha gaps. However, no significant differences were detected between 0-5 ha and >15 ha openings as for soil OM content. Surrounding forest type had also a significant effect on soil OM values (P = 0.003), and openings surrounded by mixed forest had significantly greater OM content (8.21 %) than those located within the beech forest (7.47 %). On the other hand, there was significant difference only between 5-15 ha gaps surrounded by beech forest and mixed forest for the soil OM content (P < 0.002; Fig. 2c).

The size of the forest openings analyzed had a significant effect on all cations investigated (P < 0.05), revealing a similar trend for all cations with respect to the gap size. When the surrounding forest types were compared, soils in the gaps located within the mixed forest showed greater K+, Na+, Ca+2 and Mg+2 concentrations than soils in the gaps within the beech forest.

K+ concentration increased significantly as the gap size increases, from 83.88 mg L-1 in the 0-5 ha gap to 134.64 mg L-1 in the >15 ha. Furthermore, the average K+ concentrations in the soil showed significant differences between the surrounding forest types, being 85.69 mg L-1 in gaps surrounded by beech forest and 115.29 mg L-1 in gaps surrounded by mixed forest. In contrast to K+, Na+ concentration decreased significantly as forest gap size increased (P<0.001), averaging 22.72, 18.85 and 19.57 mg L-1 for soils in the 0-5 ha, 5-15 ha, and>15 ha gaps, respectively. Soils in the 5-15 ha and >15 ha gaps had similar and significantly lower Na+ values than soils in the 0-5 ha openings. Moreover, surrounding forest vegetation types also significantly affected soil Na+ concentration in the gaps (P = 0.004). The opening surrounded by mixed forest had a mean Na+ value of 21.08 mg L-1, whereas those surrounded by beech forest had an average of 19.66 mg L-1. Significant interaction was found between the surrounding forest vegetation type and the gap size for soil Na+ concentration (P < 0.001). When the gap sizes were compared based on the surrounding forest types, the soil in the >15 ha gap of the beech forest had the lowest Na+ concentration compared to soils in other gaps of both beech and mixed forests. Additionally, there were significant differences between the surrounding forest types for the 5-15 ha and >15 ha gap sizes, but not for the 0-5 ha (Fig. 2d). There were also no significant differences between soils in the 0-5 ha and >15 ha openings, and between soils in the 5-15 ha and >15 ha gaps in the mixed forest, as well as between soils in the 0-5 ha and 5-15 ha gaps in the beech forest (Fig. 2d).

Average Ca+2 concentration differed significantly according to the surrounding forest cover type (P = 0.001), averaging 695.85 and 758.89 mg L-1 for soils in the beech and in the mixed forest gaps, respectively. Similarly, gap size affected soil Ca+2 content significantly (P = 0.003). Ca+2 values did not show any regular pattern as the gap size increased, averaging 771.36, 619.24 and 838.30 mg L-1 in the 0-5 ha, 5-15 ha and >15 ha gaps, respectively. Soils from the >15 ha gap of mixed forests had the highest and those in the same gap size of beech forests had the lowest Ca+2 concentration compared to rest of the gaps (P < 0.001; Fig. 3a). When the gap size was considered along with the surrounding cover type, soils in the 0-5 ha and 5-15 ha openings in beech stands had similar but significantly greater Ca+2 values than soils in the >15 ha gap surrounded by the same forest cover, whereas the soils in the >15 ha gap in the mixed forest had significantly greater Ca+2 value than the 5-15 ha gap size of the same forest vegetation cover (Fig. 3a).

Fig. 3 - Average Ca+2 (a), Mg+2 (b), N+3 (c), and P-PO4-3 (d) values in the forest gaps of different size surrounded with different forest types. Different letters indicate significant differences among the means after Tukey’s test (P < 0.05). Error bars represent the standard error of the mean.

Mean Mg+2 values were 59.46, 76.21, and 123.96 mg L-1 for the soils in the 0-5 ha, 5-15 ha and >15 ha gap sizes, respectively, and soils in the 0-5 ha and 5-15 ha gaps had similar but significantly lower Mg+2 concentrations than soils in the >15 ha gap (P < 0.032). Mg+2 concentration was also significantly greater in soils from the mixed forest gaps (90.38 mg L-1) compared to soils from gaps located in beech forests (59.67 mg L-1 - P<0.001). Mg+2 concentration increased significantly in mixed forest openings soils, while no relationships were found between gap size and Mg+2 concentration for beech forest openings (Fig. 3b).

The surrounding vegetation type did not significantly affect the average N+3 concentration in gap soils, being 0.39% for soils in beech forest gaps and 0.41% for soils in the mixed forest openings. The gap size had a significant effect on N+3 content (P < 0.001), with mean N+3 level of 0.43 %, 0.35 % and 0.45 % in soils from the 0-5 ha, 5-15 ha, and >15 ha openings, respectively. N+3 concentrations in soils from mixed forest gaps were similar, while those in beech forest gaps differed significantly. The soil in the 5-15 ha openings from the beech forest had the lowest N+3 value (Fig. 3c).

The overall mean P-PO4-3 concentration differed significantly with respect to forest gap sizes (P < 0.001). The 5-15 ha gap had the highest value (208.6 mg L-1) followed by the 0-5 ha gap (147.42 mg L-1) and the >15 ha gap (123.56 mg L-1). Contrastingly, surrounding vegetation did not show any significant effect on P-PO4-3 values in the soil (155.13 vs. 163.67 mg L-1 for beech and mixed forest gaps, respectively). Soil P-PO4-3 content in the gaps surrounded by both forest types showed a similar trend. The 5-15 ha beech forest opening had significantly greater soil P-PO4-3 content than the other two gap classes, whereas the soil in the >15 ha mixed forest gap had a lower P-PO4-3 content than soils from the other two gaps of the same forest type (P = 0.008 - Fig. 3d). Among the gaps surrounded by mixed forest, the >15 ha gap had the lowest P-PO4-3 value while among the gaps surrounded by beech forest, the 5-15 ha gap had the highest P-PO4-3 value (Fig. 3d). Also, surrounding forest types did not differ significantly for the same gap size.

Discussion 

The present study revealed that gap size and the surrounding forest canopy may affect differently the soil chemistry in forest openings. However, no regular patterns were observed for soil chemical properties with respect to gap size. Our results are not always in agreement with those of earlier studies, though similar findings for soil pH are reported by Muscolo et al. ([22]) and Ritter et al. ([31]). On the contrary, Muscolo et al. ([23]) and Arunachalam & Arunachalam ([4]) found that soil pH was slightly higher in small gaps, while Kooch et al. ([18]) and Haghverdi et al. ([16]) reported higher pH values for large openings as compared to medium gaps. In addition, Chunyu & Xiuhai ([10]) found a positive correlation between soil pH and gap size. Since soil pH affects also the form and availability of the organic matter in the soil and its associated processes (e.g., physico-chemical reactions, microorganism activities, and biological growth, etc), patterns of the soil pH and OM were similar in the 0-5 ha and >15 ha forest openings. According to the literature ([1], [37]), litter decomposition from broadleaves can make soil neutral or slightly acidic, as measured in the current study. In general, temperature and moisture conditions change after gap formation ([29], [31], [33]), influencing the OM levels and turnover rates in the forest gaps. Although soil OM is the main source of total N+3 and other nutrients, OM content and soil chemical parameters did not show a similar trend, except for N+3 and EC. The 5-15 ha gaps both in the beech and mixed forests had significantly lower OM than the large gaps, as found by Muscolo et al. ([23]), Haghverdi et al. ([16]), and Kooch et al. ([18]). At the same time, Muscolo et al. ([22]) and Arunachalam & Arunachalam ([4]) reported lower OM content for soils in large gaps compared to small openings. Similarly, higher N+3 values were measured in the soil from large gaps in some studies ([18], [16]) and from small gaps in others ([4], [22], [23]). Soil P-PO4-3 concentration decreased significantly with increasing the gap size from 5-15 ha to >15 ha, in agreement with Muscolo et al. ([22]). Although some studies reported that a higher solar radiation due to a larger gap size may accelerate the OM decomposition and cause an increase in the amount of soil nutrients, Arunachalam & Arunachalam ([4]), Scharenbroch & Bockheim ([33]), and Thiel & Perakis ([36]) did not find any significant gap size effect on the physical and chemical properties of most soils examined.

In the present study, no regular patterns were detected in the concentration of soil nutrients in relation to the gap size. The larger amount of rainfall occurring in large gaps as compared to small gaps may lead to higher nutrient losses by leaching ([4]). Thus, an increase in the opening size can potentially enhance the leaching of soil nutrients in the gaps ([7], [33], [18]). Additionally, larger gaps can receive more solar energy and have higher air and soil temperatures, and lower soil moisture due to higher evaporation than smaller gaps ([22], 2010). Under these conditions, litter decomposition and microbial activities can be limited and soil fertility and nutrient availability can decrease in the large openings ([4], [26]).

Conclusion 

Forest management activities can influence the nutrient content and availability in the soil of forest openings. In this study, gap size and surrounding forest canopy significantly affected soil chemical properties and hence soil fertility and nutrient availability in the forest gaps. Surrounding forest cover types had a significant effect on most of the soil chemical properties studied except for soil pH, while gap size did not have a significant effect on EC and levels of N+3 and P-PO4-3. Surrounding forest cover types had a much more significant effect on chemical characteristics of the soil than gap size.

As expected, soils in the mixed forest gaps had greater amounts of OM and cations (except for N+3 and P-PO4-3) than soils in the beech forest gaps. Since large gaps receive more solar radiation and precipitation compared to small ones, it was hypothesized that the decomposition rate could be faster and soils could be richer in cations in the >15 ha gap. In contrast to this expectation, soils in the >15 ha gap had only significantly greater K+ and Mg+2 ions than the other two gap sizes. Further studies are needed to determine the critical gap size not causing an increase in the nutrient concentration in the soil solution as a result of leaching and not limiting the decomposition rate due to great changes in the gap microclimate.

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Özcan M, Gökbulak F (2015).
Effect of size and surrounding forest vegetation on chemical properties of soil in forest gaps
iForest - Biogeosciences and Forestry 8: 67-72. - doi: 10.3832/ifor0940-007
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Title Effect of size and surrounding forest vegetation on chemical properties of soil in forest gaps
Authors Özcan M, Gökbulak F
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