Basic soil parameters
Soil pH in KCl in category D was the lowest and ranged from extremely acidic 1.5 to slightly alkaline 7.1 (Table 1). In categories P and B, pH was more elevated than in category D. There were significant differences in pH between degraded categories (D) and birch stand (B), and degraded categories and pine tree stands (P). In categories P and B, significant differences in pH between 0–20 cm and 20–50 cm horizons were also found (Table 1).
Table 1 Basic soil characteristics
Soil EC was highly variable and ranged from 40 to 6500 μS cm−1 (the highest found in category D). EC was the lowest in the category P, but it was also highly variable and ranged from 10 to 1709 μS cm−1. The observed differences in EC between categories D and P, as well as D and B were significant, but there was no difference in EC between soil horizons (0–20 cm and 20–50 cm) (Table 1).
The highest St in soil was found in category D (Table 1). The lowest St content was found in category P soils (Table 1). As in the case of EC, the St content differentiated the investigated soils but did not differ between the 0–20 and 20–50 cm horizons within the individual categories suggesting a significant sulfur migration in the soil profiles (Table 1).
SOC content in category D was similar in 0–20 and 20–50 cm soil horizon. SOC in category P and B were higher in 0–20 cm soil horizon (Table 1). This is due to a greater accumulation of humus in the upper horizons of reclaimed forest soils. There were no differences in the content of SOC between the two categories (Table 1).
Nt contents in soils differed between the categories and between soil horizons in categories P and B (Table 1). The lowest Nt nitrogen content was reported in category D with low cover-abundance and poorly developed humus horizons.
Tree and tree stand parameters—reference data of cover-abundance and community richness
According to tree stand reference data, the tree stands in this category displayed moderate density. The mean diameter at breast height (d.b.h.) for the pine (category P) was 10.6 cm, mean height (ht) was 10.0 m, the mean volume of trees (V) 0.93 m3 are−1, while the number of trees (N) averaged 1457 pcs ha−1. Tree stands in this category displayed maximum density. The mean d.b.h. for the birch (category B) was 7.8 cm, mean ht. was 8.3 m, mean V was 0.50 m3 are−1, mean N was 1558 pcs ha−1 (reference data Likus-Cieślik et al. 2015).
In category P, 15 species were reported in the undergrowth layer c including four species of tree seedlings as well as two species in the bryophyte layer d (Table 2). In category B, 11 species were found in the undergrowth layer c including two species of tree seedlings (Table 2). Individual occurrence of one species in the bryophyte layer d was reported (Table 2). In category D, seven species were found in the undergrowth layer c, including one species of tree seedlings, and two individual species in the bryophytes layer d (Entodon schreberi and Pohlia nutans) (Table 2).
Table 2 Vegetation occurring on the FJSM (divided into categories of pine stands P, birch stands B, and treeless degraded areas D)
Wood small-reed (C. epigejos (L.) Roth.) was the dominant species in all the areas in the layer of herbaceous plants, with the exception of one in category D. In category P, an average of 35% cover-abundance was reported in the undergrowth layer, in category B 74%, while in category D 26% with wood small-reed accounting for an average of 10% (P), 19% (B), and 22% (D).
Tree foliage chemistry
Birch showed significantly higher concentrations of N, P, K, Ca, Mg, and Na in the leaves than Scots pine in the needles (Table 3), while there were no significant differences in the supply of nutrients in current year and 2-year-old pine needles (Table 3). Phosphorus (P) content in pine needles was from 1221.3 to 1454.3 mg kg−1 in Pc, from 970.6 to 1111.8 mg kg−1 in Pc+1. P content in birch leaves ranged from 1695.8 to 2969.3 mg kg−1. Potassium (K) content in birch leaves ranged from 0.68 to 1.07%. K content was pine needles from 0.46 to 0.56% in Pc, and from 0.49 to 0.53% in Pc+1. Magnesium (Mg) in birch leaves ranged from 1040 to 2073 mg kg−1. Mg content in pine needles ranged from 645 to 766 mg kg−1 in Pc, and from 688 to 752 mg kg−1 in Pc+1. Sodium (Na) content in birch leaves ranged from 17.5 to 47.9 mg kg−1. Na content in pine needles was from below detection level (i.e., 0.1 mg kg−1) to 21.7 mg kg−1 in Pc, and from 1.3 to 21.7 mg kg−1 in Pc+1.
Table 3 The supply of macronutrients of birch and pine foliage (broken down into needles from 2 years) in sulfurous soils of FSMJ
In the case of Ca content, differences in pine and birch foliage and between Pc and Pc+1 were significant (Table 3). As mentioned above, the highest calcium (Ca) content was found in birch leaves.
Like in the case of the mentioned basic macroelements, the highest sulfur (S) content was reported in birch leaves (mean 1954 mg kg−1). Differences between pine foliage years (Pc and Pc+1) were not significant (Graph 1).
Two main groups in tree foliage were found by data clustering process (Graph 2). The first group was composed of St concentration in soil, soil pH, soil EC, and Na concentration in plant (Graph 2).The second group was composed of S, Mg, and P concentration in plant (Graph 2). We also found that all these characteristics form one group but distance between data point is wide, so characteristics were weak correlated.
Calamagrostis epigejos (wood small-reed) foliage chemistry
Wood small-reed occurring in the pine stand undergrowth displayed highest nutrient content, while the lowest was reported for the wood small-reed in treeless degraded areas (category D) (Table 4). The lowest N concentration in wood small-reed leaves which was significantly different from the pine stands (category P) occurred in category D and ranged from 0.40 to 0.72% (mean 0.62%) (Table 4).
Table 4 Nutrient content and N:P ratio in wood small-reed leaves occurring in designated categories in reforested areas of FSMJ
The content of phosphorus, potassium, calcium, and sodium in wood small-reed leaves growing in pine stands (category P), birch stands (category B), and degraded area (category D) was similar—there were no significant differences (Table 4).Only in the case of Mg content, the difference between the degraded category (D) and pine stands (P) was significant (Table 4).
Like in the case of the mentioned basic nutrients with the exception of Mg, differences in sulfur S content in wood small-reed leaves occurring in the designated categories were not significant. However, wood small-reed occurring in pine stand undergrowth (category P) contained most sulfur (mean 2249.1 mg kg−1), while the least amount was reported for wood small-reed occurring in category B (mean 1717.3 mg kg−1). Wood small-reed growing in degraded areas (in category D) mean contained 1778.5 mg kg−1 of S (Table 4).
We found two main groups in wood small-reed tissue in data clustering process (Graph 3). The first group was composed of soil properties as St, pH, and plant Na concentration. The second group was composed of S, Mg, P concentrations in plant and EC in soil (Graph 3).
Relations between soil chemistry and sulfur content in plant tissue
A positive correlation was found between the sulfur (S) content in the tree foliage and the St content in soils (r = 0.61), these correlations are described by an equation of function S = 1362.33 + 0.02·St (Graph 4). Sulfur content in the tree foliage also significantly correlated with EC (r = 0.68; S = 1099.88 + 0.85·EC function equation, Graph 5) and Nt content in the soils (r = −0.66) (S = 2396.1–22,528.96·N function equation, Graph 6).
No correlation was found between sulfur content in wood small-reed tissues and the remaining soil parameters.