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Article

Heavy Metals and Sulphur in Needles of Pinus sylvestris L. and Soil in the Forests of City Agglomeration

by
Anna Figas
1,
Anetta Siwik-Ziomek
2,* and
Mirosław Kobierski
2
1
Department of Agricultural Biotechnology, Faculty of Agriculture and Biotechnology, Bydgoszcz University of Science and Technology, Bernardyńska 6, 85-029 Bydgoszcz, Poland
2
Laboratory of Soil Science and Biochemistry, Faculty of Agriculture and Biotechnology, Bydgoszcz University of Science and Technology, Bernardyńska 6, 85-029 Bydgoszcz, Poland
*
Author to whom correspondence should be addressed.
Forests 2021, 12(10), 1310; https://doi.org/10.3390/f12101310
Submission received: 19 August 2021 / Revised: 8 September 2021 / Accepted: 14 September 2021 / Published: 25 September 2021
(This article belongs to the Section Forest Soil)

Abstract

:
The content of sulphur and copper (Cu), iron (Fe), manganese (Mn), zinc (Zn) and of assimilation pigments in the needles of Scots pine (Pinus sylvestris L.) in the forests of Bydgoszcz, Poland was determined. The content of those metals and the activity of dehydrogenases (DHA) in the rhizosphere of the trees was assayed. The average total sulphur (TS) content in 2-year-old pine needles was 832.4 mg kg−1 d.w. No significant correlation was found between TS and Cu, Fe, Mn and Zn in needles and the content of assimilation pigments indicating no phytotoxic effect of sulphur dioxide (SO2) and metals on Scots pine. The content of metals in the needles pointed to an inconsiderable degree of human impact. The soils in the surface layer were not contaminated with heavy metals. With the principal component analysis (PCA) two principal components were identified which accounted for 68% of the total change in variation. The variables that determined the principal components were the soil content of organic carbon (TOC), total nitrogen (TN), TS and sulphates (SO42−), the soil content of Mn, Zn, available forms to plants of Cu, Mn, and the content of Cu, Fe in needles.

Graphical Abstract

1. Introduction

Scots pine (Pinus sylvestris L.) is a species in the Pinaceae family and is the main forest-forming species in Eurasia which, due to a high ecological and economic importance, attracts much interest of foresters and naturalists [1,2]. Both the needles and the bark of Scots pine can be used medicinally. In the bark phenolic compounds like myricetin, eleutheroside, quercetin, vanillic acid, catechin, ferulic acid and taxifolin were identified as well as volatile compounds like α-pinene and β-pinene [3]. More than 70 constituents were identified in the essential oil from pine needles. The most important of them are α-Pinene, δ-3-carene, germacrene-4-ol, and bornyl acetate. The main sesquiterpenes are β-caryophyllene, germacrene D, bicyclogermacrene, δ-cadinene, γ-cadinene, germacrene D-4-ol, cubenol and α-cadinol [4,5]. Research has shown that essential oil exhibits anti-parasitic, anti-hyperglycemic, anti-allergenic, anti-viral, anti-spasmodic properties, as well as insecticidal and larvicidal properties [6,7].
One of the major problems of contemporary civilisation is a risk of pollution of the natural environment caused by human activity [8,9]. Scots pine, due to a high ecological and economic importance, attracts much interest of foresters and naturalists [10]. The assimilation apparatus is considered a sensitive indicator of environmental changes, and hence there is frequent use of pine needles for evaluating the air pollution [10,11,12]. Scots pine shows little sensitivity to the presence of heavy metals in soils. The content of metals in needles is mostly connected with their content in the air [13,14]. One of the indicators of the physiological changes in the plant caused by air pollution with sulphur can be the content of assimilation pigments [15]. One of the basic parameters determining the pollution of the environment is the content of heavy metals in soils [8,16]. Their excessively high accumulation can be toxic to the plants, animals and people [17]. Those trace elements, triggering abiotic stress, disturb the metabolism of microorganisms and, frequently, limit the count of microorganisms. They also contribute to the deterioration of the chemical soil properties [18,19]. Elements such as Cu and Zn affect the enzymatic soil activity [20]. The indicator of the potential biological activity showing a high sensitivity to environmental changes are dehydrogenases (DHA) representing the class of redox enzymes [21].
The activity of DHA is considered an indicator of the oxidative metabolism in soils and thus of the microbiological activity [21], as, being exclusively intracellular, the activity is linked to viable cells. An excessive content of heavy metals in soil poses a threat to the adequate functioning of microorganisms as it can limit their number [19].
The aim of the study has been to evaluate the content of S and Cu, Fe Mn, Zn as well as the content of assimilation pigments (chlorophyll and carotenoids) in the needles of Scots pine growing in the forest of a city. We assayed the content of metals and the activity of DHA in the rhizosphere soil.

2. Materials and Methods

2.1. Study Area

The soil was sampled from selected locations in the region of Bydgoszcz (Poland). Sampling locations: (A)—Białe Błota (53°05′59.0″ N 17°55′29.8″ E), (B)—Belma Electomechanical Plant (53°07′45.6″ N 17°53′59.1″ E), (C)—Zachem Chemical Plant (53°05′55.0″ N 18°04′18.7″ E), (D)—the Zbigniew Załuski Park (53°08′25.2″ N 18°02′06.9″ E), (E)—Forest Park of Culture and Recreation (53°09′47.4″ N 18°02′05.3″ E). Białe Błota (A) is a suburban village, about 2 m south-west from the borders of the city of Bydgoszcz (population: 440,000). Location B is one of the oldest industrial plants in the region. The origins of its operation date back to 1868 (the manufacture of equipment for the rail, automotive, arms and mining sectors). Location C stands for to the Zachem Chemical Plant manufacturing, in 1948–2014, dyes, polyurethane foams and organic chemical semi-finished products. Location D—the Zbigniew Załuski Park, is a city park about 17 hectares in size. The Forest Park of Culture and Recreation (E) is found 5 km away from the centre of Bydgoszcz, in an immediate vicinity of a busy transport route. It is the biggest city park in Poland, 830 hectares in size.

2.2. Soil Sampling and Laboratory Analyses

The soil was sampled 20 cm away from the trunk of Scots pine, from the depth of 0–25 cm. Each sample was a mixture of five subsamples taken in random places within each habitat examined. The samples were air-dried at room temperature and sieved using a 2 mm sieve. Soil texture was measured applying the Mastersizer 2000 analyser (Malvern Instrument, Malvern, UK). The total content of Cu, Fe, Mn, Zn in the soil samples was assayed. The soil for analysis were prepared in accordance with the standard method and pH was measured using the glass electrode in 1 M KCl solution (1:2.5 soil-solution ratio) [22]. The soil total organic carbon (TOC) was determined with the TOC analyser vario Max CN Elementar Analysensysteme GmbH (Hanau, Germany).
The total content of metals was assayed by digestion with HF and HClO4 solutions, following the Crock and Severson method [23]. Certified reference materials (TILL-3, the Canadian Certified Reference Materials) were used to verify the accuracy of the results. The recovery rates for the elements analysed were as follows: 98%, 103%, 104%, 102%, for Cu, Fe, Mn, Zn, respectively. The contents of Cu, Mn (mg·kg−1) and Fe (g·kg−1), defined as the content of the local background, were: 40.6; 12.6; 309.9 and 16.5, respectively [24]. The content of available metal forms in soils was determined with 0.1 M HCl solution. The contents of metals in pine needles were assayed with the atomic absorption spectrophotometry (ASA), using a SOLAAR S4 spectrometer provided by ThermoElemental. The activity of DHA [E.C. 1.11.1.] was identified following the methodology by Thalmann [25] in three replications.

2.3. Plant Sampling and Laboratory Analyses

For the measurements of the total sulphur (TS) content, the total content of Cu, Fe, Mn, Zn and photosynthetic pigments, 2-year-old pine needles were collected from four randomly selected trees in five locations. The trees were of a similar age; about 40 years old.
The average diameter and height of the analyzed trees were 0.30 m and 12 m respectively. About 30 needles were collected from each tree. The needles was tested separately from different trees for each location. Analyses were performed in triplicate for a total of 12 samples from each location. The needles were washed thoroughly with deionized water and dried at 50 °C for 48 h. The amount of TS, the content of metals (Cu, Fe, Mn, Zn), TOC and total nitrogen (TN) were determined. The measurements of the physiological parameters covered the content of assimilation pigments (chlorophylls, carotenoids). The content of chlorophyll was assayed following the method by Arnon et al. [26], whereas the content of carotenoids with the method by Hager and Mayer-Berthenrath [27].
Plant samples were ground to powder for metal analysis. About 0.3 g of plant sample was digested with 5 mL 65% HNO3, 1 mL 30% H2O2 mixture in the microwave digester, Speedwave Two (Berghof). The total content of Cu, Fe, Mn and Zn in pine needles was determined using the atomic absorption spectrophotometry (ASA), with a SOLAAR S4 spectrometer provided by ThermoElemental. In addition, in the dry weight of needles, the TOC and the NT were identified with the vario Max CN Elementar Analysensysteme GmbH (Hanau, Germany). The TS content was assayed according to Bardsley-Lancaster [28].

2.4. Statistical Analysis and Mathematical Calculations

Single-factor analysis of variance (ANOVA) was performed. The differentiation of means across the objects was determined by identifying homogeneous groups with the LSD test at a significance level of α = 0.05. The contents of all the components in soil and pine needles were evaluated using the principal component analysis (PCA) [29]. The content of TS and the content of sulphate sulphur (SO42−) [30] were applied for statistical analysis. All the analytical measurements were performed in three replications. The coefficient of variation (CV) of the parameters was calculated [31].
The human activity impact on soils was estimated with the enrichment factor (EF), based on the normalization of the metal measured against a reference metal. Fe was used as the reference element. The values of EF were calculated according to the formula [32,33]:
EF = [Cn/CnFe]/[Bn/BnFe].

3. Results and Discussion

3.1. Physical and Chemical Properties

The soils were qualified as: sand for A, C and loamy sand for B, D, E [34]. They contained from 76.7% to 92.0% of sand fraction (2.0–0.05 mm), from 7.4% to 21.0% of silt fraction (0.05–0.002 mm) and from 0.63% to 2.33% of clay fraction (<0.002 mm).
The reaction of the soils was very acid, from pH 3.65 in A to pH 4.41 in E. The acidification of the soils was due to hydrogen ions released to the environment by pine tree roots while taking up mineral nutrients. Moreover, the acid reaction is affected by the activity of humus acids produced from the decomposition of pine needles and from the presence of mosses the product of decomposition of which are organic acids. Soil acidification can be also due to the chemical processes which take part in the weathering of minerals and from C and N cycling.
The soils demonstrated a similar content of organic carbon; the highest content was found in the soil sampled from location C (9.84 g kg−1). The average content of TOCs in soil was 7.63 g kg−1.

3.2. Content of TSs, Zns, Cus, Mns, Fes and the Activity of DHA in Soils

The soils contained from 171 mg kg−1 to 343 mg kg−1 of TSs and 14.76 mg kg−1 to 22.69 mg kg−1 of sulphate sulphur. Such a content of TSs points to a low content of that element in soil (class 1; content of TS from 160 to 500 mg S kg−1), while the content of sulphate sulphur in the soil sampled in Białe Błota was classified as natural (class 0, content of SO42− ≤15 mg kg−1). In the other soil samples the content of sulphate sulphur was low (class 1, content of SO42− ≤ 15 mg kg−1) [35]. The contents of respective metals in soil samples can be ordered in a series as follows: Cus < Zns < Mns < Fes (Table 1). Evaluating the total content of the metals, one can find that they did not exceed the admissible contents provided for in the applicable law [36]. As compared with the contents of the geochemical background of the region’s soils [24], the mean accumulation of Cus in location C, Mns in A, and D, Zns in C as well as a considerable accumulation of Zns in sampling location D were found, which is evident from the values of enrichment factor (EF). EF is a comparatively simple and easy tool to assess the enrichment of elements in soils [37].
The contents of copper forms available to plants (Cusa) ranged from 1.02 to 6.70 mg ha−1; iron (Fesa)—from 0.55 to 1.53 g ha−1; manganese (Mnsa)—from 26.5 to 161.0 mg ha −1; and zinc (Znsa)—from 5.26 (E) to 33.9 mg ha−1 (Table 2). As reported by Ociepa [38], the availability of heavy metals to plants is affected by many factors, especially the type of the parent material, the soil reaction and the content of organic substance, clay minerals and the interaction with other elements.
As noted by Kabata-Pendias and Pendias [8] and Skwaryło-Bednarz et al. [39], Zn, even though one of the most mobile metals, is strongly bonded by organic matter, which was confirmed by the significant dependence recorded in this study. We identified significant positive dependencies between the content of TOC and the content of Cu and its available forms. Similar results were reported by Skwaryło-Bednarz et al. [39].
Determining the DHA activity in soil provides much information about the biological characteristics of soil that remains fertile and healthy [40]. The highest activity of DHA (2.054 mg TPF·g−1·h−1) was found in the soils sampled from location C, where the content of organic carbon was highest (Figure 1). We identified a positive correlation between the content of Zns and Cus. The content of Cus is strongly related to organic matter [41]. Most of the soluble Zn usually occurs in a form of a free ion, while Cu occurs in organically-complexed forms [42]. The average accumulation of Cus and Zns in soil in location C had a stimulating effect on the activity of DHA in the soils. Therefore, it can be assumed that the content of metals and a relatively high content of organic carbon in those soil samples can have a stimulating effect on the microbiological activity of soils expressed as the activity of intracellular DHA.

3.3. Chemical and Physiological Pine Needle Analyses

The microelement increases the plant tolerance both to biotic and abiotic stress [43]. An unfavourable impact of SO2, on the other hand, results in changes in cells, which is shown, e.g., in some damage to the root system, leaves and needles [44]. The phytotoxic effect of SO2 on plants involves its penetration through stomata and, as a result, sulphate forming. It leads to a disappearance of chlorophyll and to disturbances in the process of photosynthesis as well as to a decreased assimilation of CO2 [15].
The content of total sulphur in pine needles (TSn) was low and it ranged from 657.9 mg kg−1 d.w. to 972.0 mg kg−1 d.w. (Table 3). The results were similar to those recorded by Likus-Cieślik et al. [10], who report on the content of that element in pine needles in the region of Bydgoszcz ranging from 600–900 mg kg−1 d.w. All across the country they assayed the content to be 537.5 to 2343 mg kg−1 d.w. of pine needles, at the average content of 854.8 mg kg−1 d.w. For a comparison, in Europe the content of sulphur ranges from 1050 mg kg−1 to 1470 mg kg−1 in 1-year-old needles [10]. In biomonitoring studies performed in Poland in the mid 1970s in the area of Bydgoszcz, Dmuchowski and Bytnerowicz [45] assayed higher contents of that element in pine needles, ranging from 910 to 1200 mg kg−1 d.w. and reaching 2060 mg kg−1 d.w. in south-eastern Poland. The results of the present study and those reported by other authors for the studies carried out over a few dozen years [38] suggest that since the 1980s the air quality in the Bydgoszcz region has improved.
As reported by Marska and Wróbel [46], the content of TS in plants can fall within a broad range from 700 to 14,000 mg kg−1 of dry weight and the content in the plant depends on the plant species, the richness of soils in soluble sulphates, content of SO2 in the air. For the right development, Scots pine needs 300 mg of sulphur per kg of dry weight [47]. As reported by Baciak et al. [48], in the strongly industrialised areas, the content of TS in Scots pine needles can be from 6000 to 10,000 mg kg−1 d.w., whereas in the areas with no air pollution, the average content of TSn ranges from 300 to 1200.
We calculated the values of the ratio of carbon to nitrogen C:N in pine needles, which was similar in all the locations and ranged from 28.6 to 33.7 (Table 3). The values were lower than those reported by Griffin et al. [49], ranging from 39 to 64. Raven et al. [50] claim that the values of the C:N ratio in trees fall within a broad range up to more than 100.
The physiological response of Scots pine needles to the effect of SO2 was assayed with the content of assimilation pigments: chlorophyll a (Chl a), chlorophyll b (Chl b), chlorophyll a+b (Chl a+b), and carotenoids (Carot). The most important assimilation pigments in plants affect the intensity of photosynthesis and biomass production [51]. Depending on the external factors, they also play a regulatory function in cellular differentiation, growth and metabolism [52].
The numerical data on the content of assimilation pigments in the two-year study of pine needles is provided in Table 4. The data reported by other authors indicate that the content of chlorophyll and carotenoids in the needles was increasing with the plant material age and in the 1-, 2-, and 3-year-old needles it was 1.42 mg g−1 f.w. 2.08 mg g−1 f.w., 3.79 mg g−1 f.w. and 0.28 mg g−1 f.w., 0.37 mg g−1 f.w., 0.65 mg g−1 f.w, respectively [53].
No significant correlations between the content of sulphur in 2-year-old pine needles and the content of assimilation pigments were found because of a lack of phytotoxic effect of sulphur on pine plants in the Bydgoszcz agglomeration (Table 5).
The value of the Chl a/Chl b ratio ranged from 2.06 to 2.96. Taller plants contain 2-4-fold more chlorophyll a than chlorophyll b [54].
The content of selected metals in needles was found in a decreasing series: Fen > Mnn > Znn > Cun (Table 3). Of all the metals studied, the lowest content in pine needles was recorded for Cu (Table 3). Drawing on the earlier research [45], the area of Poland under study, which covered the Bydgoszcz agglomeration, was classified in terms of pollution with Cu, as in zone II, with 5.1 to 10.0 mg Cu kg−1. Most plants need a negligible amount of Cu (2 mg kg−1) to satisfy their physiological needs. The content of Cu in plants is usually below 4–5 mg kg−1 and its average content in the aboveground plant parts ranges from 5 to 20 mg kg−1 [8]. For the purpose of comparison, in Stalowa Wola the content of Cu in two-year-old needles ranged from 4.7 to 7.8 mg kg−1 [55], in the Białowieża Wild Forest—from 2.92 to 3.85 mg kg−1 [45], while in the Słowiński National Park [49] it was 5.9 mg kg−1. The statistical analysis of the results of this experiment did not identify, as for sulphur, any significant correlations between the content of the metals analysed in pine needles and the content of assimilation pigments, which shows a lack of phytotoxic effect of the metals on the plants (Table 5).
The content of Fe in the plants varied and it ranged from 102.60 mg kg−1 d.w. to 248.6 mg kg−1 d.w. The contents were similar to those reported by Samecka-Cymermanet et al. [55] in two-year-old needles of pines growing in Stalowa Wola, ranging from 77 to 270 mg kg−1. Slightly lower contents in pine needles, ranging from 107.1 mg kg−1 to 132.1 mg kg−1, were reported by Parzych and Jonczak [56] in the Słowiński National Park, one of the purest national parks in Poland.
The content of Mn in the two-year-old needles of pine ranged from 65.00 mg kg−1 to 182.0 mg kg−1 (Table 3). The content was lower than that recorded by Parzych and Jonczak [56] in the area without a human impact (the Słowiński National Park); from 185.1 to 368.7 mg kg−1 in 1-year-old needles and from 211.1 to 449.8 mg kg−1 in 2-year-old needles. According to other authors, the content of Mn in other plant species in the area outside the contamination impact was from 27.2 to 247.3 mg kg−1 [57], 122 to 837 mg kg−1 [58]. The demand for Mn in plants varies a lot depending on the species. In most cases the content from 10 to 25 mg kg−1 is enough [8]. As reported by Malzahn [59], the content of Mn in the plants growing outside an immediate pollution impact is, most frequently, 340-1339 mg kg−1.
The highest Zn content in soil was 48.80 mg kg−1 to 64.05 mg kg−1 (Table 3). To satisfy the physiological needs of most plants, the content of zinc in shoots ranging from 15 to 30 mg kg−1 is sufficient and the shortage of that metal is most frequent for the content lower than 20 mg kg−1 [60]. Dmuchowski and Bytnerowicz [45] reported by on the environmental pollution of the territory of Poland, the area was not considered polluted if the content of Znn did not exceed 70 mg kg−1. The content in 2-year-old pine needles in Poland ranged from 10 to 70 mg kg−1 in the Słowiński National Park [56], from 45 to 99 mg kg−1 in Stalowa Wola [55], and from 40.9 to 173.7 mg kg−1 in the Białowieża Wild Forest [45]. The content of Znn recorded in this study in the needles of P. sylvestris in the Bydgoszcz agglomeration area was comparable to the level of the content in pine needles sampled from the regions considered the purest in Poland points to an inconsiderable content in the soils under study (Table 1).
The PCA facilitated determining the general dependencies between variables and describing and classifying the parameters defined by other variables, which helped define two principal components (PC1 and PC2), which accounted for more than 68% of the variation observed in soil (Table 6).
From Figure 2 it can be concluded that the vectors of variables representing the soil content of Zn, Cu and TOC as well as the activity of DHA showed the greatest negative linear dependencies, which groups them with the second principal component. Analysing the soil properties, one can found that the content of Cu and Zn in soil and their forms available to plants and the activity of DHA correlated most with the content of organic matter. DHA plays a crucial role in the biological oxidation of soil organic matter by transferring hydrogen from organic substrates to inorganic acceptors [61,62].
A comparison of stands A to E demonstrates that the soils sampled from locations C and D contained similar contents of Cu, Zn and TOC and a similar activity of DHA in soil.

4. Conclusions

The TS content in 2-year-old needles of Scots pine growing in a few locations of the Bydgoszcz agglomeration was low, which points to a lack of air pollution with SO2. A low level of human impact is also seen from the total content of Cu, Fe, Mn and Zn. No significant correlations were found between the total content of S, Cu, Fe, Mn and Zn in Scots pine needles and the content of assimilation pigments (chlorophyll a, chlorophyll b, carotenoids), which points to a lack of their phytotoxic effect. The contents of elements satisfied the basic physiological needs of the trees. Medicinal raw material coming from the described locations can be safely used in phytotherapy. Pine needles can be successfully used as a bioindicator of the air quality.
In the soil surface layer no pollution with the heavy metals studied was found. A considerable Zn accumulation, as compared with the content of the geochemical background, was identified only in one of the locations, the Zbigniew Załuski Park. There, a significantly positive effect of organic matter on Zn accumulation in soil was noted. The presence of that metal and Cu stimulated the activity of DHA.
With the principal component analysis (PCA) we identified two principal components which accounted for 68% of the total change in variation. The variables which determined the principal components most were the soil content of TOC, TN as well as TS and sulphates (VI), the soil content of Mn, Zn and available forms of Mn and Cu and the content of Cu and Fe in pine needles.

Author Contributions

Conceptualization A.F. and A.S.-Z., Methodology A.F., A.S.-Z., M.K., Visualization A.F., A.S.-Z., Investigation A.F., A.S.-Z., M.K. Formal analysis A.F., A.S.-Z. and M.K., Resources A.F., Writing—Original draft preparation A.F. and A.S.-Z., M.K. Writing—Reviewing and Editing A.F., A.S.-Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research has been supported by the Bydgoszcz University of Science and Technology BN 38/2019.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Achilles, F.; Tischer, A.; Bernhardt-Römermann, M.; Chmara, I.; Achilles, M.; Michalzik, B. Effects of Moderate Nitrate and Low Sulphate Depositions on the Status of Soil Base Cation Pools and Recent Mineral Soil Acidification at Forest Conversion Sites with European Beech (“Green Eyes”) Embedded in Norway Spruce and Scots Pine Stands. Forests 2021, 12, 573. [Google Scholar] [CrossRef]
  2. Czyzyk, K. Radial Growth Response of Scots Pine (Pinus sylvestris L.) after Increasing the Availability of Water Resources. Forests 2021, 12, 1053. [Google Scholar] [CrossRef]
  3. Nisca, A.; Ștefănescu, R.; Stegăruș, D.I.; Mare, A.D.; Farczadi, L.; Tanase, C. Comparative Study Regarding the Chemical Composition and Biological Activity of Pine (Pinus nigra and P. sylvestris) Bark Extracts. Antioxidants 2021, 10, 327. [Google Scholar] [CrossRef] [PubMed]
  4. Magdziak, Z.; Gasecka, M.; Waliszewska, B.; Zborowska, M.; Mocek, A.; Cichy, W.J.; Mazela, B.; Kozubik, T.; Mocek-Plociniak, A.; Niedzielski, P.; et al. The influence of environmental condition on the creation of organic compounds in Pinus sylvestris L. rhizosphere, roots and needles. Trees 2021, 35, 1–17. [Google Scholar] [CrossRef]
  5. Dziedziński, M.; Kobus-Cisowska, J.; Stachowiak, B. Pinus Species as Prospective Reserves of Bioactive Compounds with Potential Use in Functional Food—Current State of Knowledge. Plants 2021, 10, 1306. [Google Scholar] [CrossRef] [PubMed]
  6. Salamon, I.; Kryvtsova, M.; Bucko, D.; Amer, H.; Tarawneh, A.H. Chemical Characterization and Antimicrobial Activity of Some Essential Oils After Their Industrial Large-Scale Distillation. J. Microbiol. Biotechnol. Food Sci. 2019, 8, 965–969. [Google Scholar] [CrossRef] [Green Version]
  7. Oyewole, K.A.; Oyedara, O.O.; Awojide, S.H.; Olawade, M.O.; Charles, O. Adetunji Chemical Constituents and Antibacterial Activity of Essential Oils of Needles of Pinus Sylvestris (Scots Pine) from South West Nigeria. Res. Sq. 2021, 1–15. [Google Scholar] [CrossRef]
  8. Kabata-Pendias, A.; Pendias, H. Trace Elements in Soils, 3rd ed.; CRC Press: Boca Raton, FL, USA; London, UK; New York, NY, USA, 2001. [Google Scholar]
  9. Luo, C.; Yang, R.; Wang, Y.; Li, Y.; Zhang, G.; Li, X. Influence of agricultural practice on trace metals in soils and vegetation in the water conservation area along the East River (Dongjiang River), South China. Sci. Total Environ. 2012, 431, 26–32. [Google Scholar] [CrossRef]
  10. Likus-Cieślik, J.; Socha, J.; Gruba, P.; Pietrzykowski, M. The current state of environmental pollution with sulfur dioxide (SO2) in Poland based on sulfur concentration in Scots pine needles. Environ. Pollut. 2020, 258, 113559. [Google Scholar] [CrossRef] [PubMed]
  11. Gamrat, R.; Ligocka, K. Concentrations of selected heavy metals in Scots pine needles from selected areas of Poland. Ecol. Eng. 2018, 1, 61–65. (In Polish) [Google Scholar] [CrossRef] [Green Version]
  12. Parzych, A.; Jonczak, J. Pine needles (Pinus sylvestris L.) as bioindicators in the assessment of urban environmental contamination with heavy metals. J. Ecol. Eng. 2014, 15, 29–38. [Google Scholar] [CrossRef]
  13. Lehndorff, E.; Schwarz, L. Accumulation histories of major and trace elements on pine needles in the cologne conurbation as function of air quality. Atmos. Environ. 2008, 42, 833–845. [Google Scholar] [CrossRef]
  14. Pająk, M.; Halecki, W.; Gąsiorek, M. Accumulative response of Scots pine (Pinus sylvestris L.) and silver birch (Betula pendula Roth) to heavy metals enhanced by Pb-Zn ore mining and processing plants: Explicitly Spatial Considerations of Ordinary Kriging Based on a GIS Approach. Chemosphere 2017, 168, 851–859. [Google Scholar] [CrossRef] [PubMed]
  15. Sha, C.; Wang, T.; Lu, J. Relative sensitivity of wetland plants to SO2 pollution. Wetlands 2010, 30, 1023–1030. [Google Scholar] [CrossRef]
  16. Kabata-Pendias, A. Soil-plant transfer of trace elements—An Environmental Issue. Geoderma 2004, 122, 143–149. [Google Scholar] [CrossRef]
  17. Vinodhini, R.; Narayan, M. The impact of toxic heavy metals on the hematological parameters in common carp (Cyprinus carpio L.). Iran J. Environ. Health Sci. Eng. 2009, 6, 23–28. [Google Scholar]
  18. He, C.Q.; Tan, G.E.; Liang, X.; Du, W.Y.L.; Zhi, G.Y.; Xhu, Y. Effect of Zn-tolerant bacterial strains on growth and Zn accumulation in Orychophragmus violaceus. Appl. Soil Ecol. 2010, 44, 1–5. [Google Scholar] [CrossRef]
  19. Mocek-Płóciniak, A. Impact of havy metals on microorganisms and the soil enzymatic activity. Soil Sci. Annual. 2011, 62, 211–220. (In Polish) [Google Scholar]
  20. Lemanowicz, J.; Brzezińska, M.; Siwik-Ziomek, A.; Koper, J. Activity of selected enzymes and phosphorus content in soils of former sulphur mines. Sci. Total Environ. 2020, 708, 134545. [Google Scholar] [CrossRef]
  21. Aponte, H.; Meli, P.; Butler, B.; Paolini, J.; Matus, F.; Merino, C.; Cornejo, P.; Kuzakov, Y. Meta-analysis of heavy metals effects on soil enzyme activities. Sci. Total Environ. 2020, 737, 139744. [Google Scholar] [CrossRef]
  22. ISO 10390:2005. Soil Quality–Determination of pH. International Organization for Standardization. Geneva, Switzerland, 2005. Available online: https://www.isoorg/standard/40879.html (accessed on 1 February 2005).
  23. Crock, J.G.; Severson, R. Four reference soil and rock samples for measuring element availability in the western energy regions. U.S. Geol. Surv. Circular. 1980, 841, 16. [Google Scholar] [CrossRef]
  24. Kobierski, M.; Dąbkowska-Naskręt, H. Local background concentration of heavy metals in various soil types formed from glacial till of the Inowrocławska Plain. J. Elementol. 2012, 17, 559–585. [Google Scholar] [CrossRef]
  25. Thalmann, A. Zurmethodik der bestimmung der dehydrogenases aktivität in bodenmittelstriphenyl tetrazoliumchlorid (TTC). Landwirtsch. Forsch. 1968, 21, 249–258. [Google Scholar]
  26. Arnon, D.I.; Allen, M.B.; Whatley, F.R. Photosynthesis by isolated chloroplasts IV. General concept and comparison of three photochemical reactions. Biochim. Biophys. Acta 1956, 20, 449–461. [Google Scholar] [CrossRef]
  27. Hager, A.; Mayer-Berthenrath, T. Die isolierung und Quantitative bestimmung der carotinoide und chlorophylle von blattern, algen und isolierten chloroplasten mit hilfe dunnschichtchromatographischer methoden. Planta 1996, 69, 198–217. Available online: https://www.jstor.org/stable/23366270 (accessed on 13 September 2021). [CrossRef]
  28. Bardsley, C.E.; Lancaster, J.D. Determination of reserve sulfur and soluble sulfates in soil. Soil Sci. Soc. Am. J. 1960, 24, 265–268. [Google Scholar] [CrossRef]
  29. StatSoft Inc. OK, USA, STATISTICA, Version 12.0. Data Analysis Software System. 2012. Available online: https://statisticasoftware.wordpress.com/2013/05/15/statsoft-releases-version-12-of-statistica-software (accessed on 7 May 2013).
  30. Siwik-Ziomek, A.; Figas, A.; Tomaszewska-Sowa, M.; Kobierski, M. Pine bark and activity of arylsulphatase and rhodanese as biological quality indicators of the Bydgoszcz agglomeration. Infrastruct. Environ. 2019, 225–233. [Google Scholar] [CrossRef]
  31. Wilding, L.P. Spatial Variability: Its Documentation, Accommodation and Implication to Soil Surveys. In Soil Spatial Variability; Nielsen, D.R., Bouma, J., Eds.; PUDOC: Wageningen, The Netherlands, 1985; pp. 166–194. [Google Scholar]
  32. Martin, J.M.; Meybeck, M. Elemental mass-balance of material carried by major world rivers. Mar. Chem. 1979, 7, 173–206. [Google Scholar] [CrossRef]
  33. Sutherland, R.A.; Tolosa, C.A.; Tack, F.M.G.; Verloo, M.G. Characterization of selected element concentration and enrichment ratios in background and anthropogenically impacted roadside areas. Arch. Environ. Contam. Toxicol. 2000, 38, 428–438. [Google Scholar] [CrossRef]
  34. USDA (United States Department of Agriculture). Soil Mechanics Level I-Module 3: USDA Textural Classification Study Guide; National Employee Development Staff; Soil Conservation Service: Washington, DC, USA, 1987. [Google Scholar]
  35. Motowicka-Terelak, T.; Terelak, H. Sulphur in Soils of Poland. The Status and the Risks; Library of Environmental Monitoring: Warsaw, Poland, 1998; ISBN 83-7217-37-1. [Google Scholar]
  36. Journal of Laws, Item 1395. Regulation of the Minister of the Environment of 1 September 2016 on the Method for Assessment of Land Surface Contamination. 2016. Available online: www.gdos.gov.pl (accessed on 5 September 2016). (In Polish)
  37. Vega, F.A.; Covelo, E.F.; Cerqueira, B.; Andrade, M.L. Enrichment of marsh soils with heavy metals by effect of anthropic pollution. J. Hazard. Mater. 2009, 170, 1056–1063. [Google Scholar] [CrossRef]
  38. Ociepa, E. The effect of fertilization on yielding and heavy metals uptake by maize and virgina fanpetals (Sida Hermaphrodita). Arch. Environ. Prot. 2011, 37, 123–129. [Google Scholar]
  39. Skwaryło-Bednarz, B.; Kwapisz, M.; Onuch, J.; Krzepiłko, A. Assessment of the content of heavy metals and catalase activity in soils located in protected zone of the Roztocze National Park. Acta Agrophys. 2014, 21, 351–359. [Google Scholar]
  40. Navnage, N.; Patle, P.; Ramteke, P. Dehydrogenase activity (DHA): Measure of Total Microbial Activity and as Indicator of Soil Quality. Int. J. Chem. Stud. 2018, 6, 456–458. [Google Scholar]
  41. Chaperon, S.; Sauvé, S. Toxicity interaction of metals (Ag, Cu, Hg, Zn) to urease and dehydrogenase activities in soils. Soil Biol. Biochem. 2007, 39, 2329–2338. [Google Scholar] [CrossRef]
  42. Fotovat, A.; Naidu, R. Ion exchange resin and MINTEQA2 speciation of Zn and Cu in alkaline sodic and acidic soil extracts. Aust. J. Soil Res. 1997, 35, 711–726. [Google Scholar] [CrossRef]
  43. Hasanuzzaman, M.; Hossain, M.S.; Bhuyan, M.H.M.B.; Al Mahmud, J.; Naha, K.; Fujita, M. The role of sulfur in plant abiotic stress tolerance, molecular interactions and defense mechanisms. In Plant Nutrients and Abiotic Stress Tolerance; Hasanuzzaman, M., Fujita, M., Oku, H., Nahar, K., Hawrylak-Nowak, B., Eds.; Springer: Singapore, 2018; pp. 221–252. [Google Scholar] [CrossRef]
  44. Wei, H.; Liu, W.; Zhang, J.; Qin, J. Effects of simulated acid rain on soil fauna community composition and their ecological niches. Environ. Pollut. 2017, 220, 460–e468. [Google Scholar] [CrossRef] [PubMed]
  45. Dmuchowski, W.; Bytnerowicz, A. Monitoring environmental pollution in Poland by chemical analysis of Scots Pine (Pinus sylvestris L.) needles. Environ. Pollut. 1995, 87, 84. [Google Scholar] [CrossRef]
  46. Marska, E.; Wróbel, J. Znaczenie siarki dla roślin uprawnych (The importance of sulfur for arable crops). Folia Pomeranae Univ. Technol. Stetin. Agric. 2000, 204, 69–76. (In Polish) [Google Scholar]
  47. Fober, H. Nutrient supply. In Scots Pine Biology. The Institute of Dendrology, Polish Academy of Sciences; Białobok, S., Boratynski, A., Bugała, W., Eds.; Sorous Press: Poznan-Kornik, Poland, 1993; pp. 182–193. (In Polish) [Google Scholar]
  48. Baciak, M.; Warmiński, K.; Bęs, A. The effect of selected gaseous air pollutants on woody plants. For. Res. Pap. 2015, 76, 401–409. [Google Scholar] [CrossRef] [Green Version]
  49. Griffin, K.L.; Winner, W.E.; Strain, B.R. Construction cost of loblolly and ponderosa pine leaves grown with varying carbon and nitrogen availability. Plant Cell Environ. 1996, 19, 729–738. [Google Scholar] [CrossRef]
  50. Raven, J.A.; Handley, L.L.; Andrews, M. Global aspects of C/N interactions determining plant-environment interactions. J. Exp. Bot. 2004, 55, 11–25. [Google Scholar] [CrossRef]
  51. Devlin, R.M.; Barker, A.V. Photosynthesis; Van Nostrand Reinhold Co.: New York, NY, USA, 1971. [Google Scholar]
  52. Zaïka, V.; Bondarenko, T. The content of chlorophyll a and chlorophyll b in leaves of undergrowth species in hornbeam-oak forest stands of the forest-steppe zone in Western Ukraine. For. Res. 2018, 79, 23–28. [Google Scholar] [CrossRef] [Green Version]
  53. Miazek, K.; Ledakowicz, S. Chlorophyll extraction from leaves, needles and microalgae: A Kinetic Approach. Int. J. Agric. Biol. Eng. 2013, 6, 107–115. [Google Scholar] [CrossRef]
  54. Skwaryło-Bednarz, B.; Krzepiłko, A. Effect of various doses of NPK fertilisers on chlorophyll content in the leaves of two varieties of amaranth (Amaranthus cruentus L.) in wide-row cultivation. Acta Agrophys. 2009, 16, 469–477. (In Polish) [Google Scholar]
  55. Samecka-Cymerman, A.; Kosior, G.; Kempers, A.J. Comparison of the moss Pleurozium schreberi with needles and bark of Pine sylvestris as biomonitors of pollution by industry in Stalowa Wola (southeast Poland). Ecotoxicol. Environ. Saf. 2006, 65, 108–117. [Google Scholar] [CrossRef]
  56. Parzych, A.; Jonczak, J. Content of heavy metals in needles of Scots Pine (Pinus sylvestris L.) in selected pine forests in Słowiński National Park. Arch. Environ. Prot. 2013, 39, 41–51. [Google Scholar] [CrossRef]
  57. Tomaszewska-Sowa, M.; Kobierski, M.; Sawilska, A.K.; Figas, A. Assessment the phytoaccumulation of heavy metals in medicinal plants from the forest areas of Kuyavia-Pomerania provinces. Herba Pol. 2018, 64, 11–19. [Google Scholar] [CrossRef] [Green Version]
  58. Gałuszka, A. Biogeochemical background of selected trace elements in mosses Pleurozium schreberi (Brid.) Mitt. and Hylocomium splendens (Hedw.) B.S.G. from Wigierski. National Park. Pol. J. Environ. Stud. 2006, 15, 72–77. [Google Scholar]
  59. Malzahn, E. The monitoring of threat to and pollution of the forest environment in Białowieża primeval forest. Cosmos 2002, 51, 435–441. (In Polish) [Google Scholar]
  60. Ociepa-Kubicka, A.; Ociepa, E. Toxic effects of heavy metals on plants, animals and humans. Eng. Prot. Environ. 2012, 15, 169–180. (In Polish) [Google Scholar]
  61. Zhang, N.; He, X.-D.; Gao, Y.-B.; Li, Y.-H.; Wang, H.-T.; Ma, D.; Zhang, R.; Yang, S. Pedogenic carbonate and soil dehydrogenase activity in response to soil organic matter in Artemisia ordosica community. Pedosphere 2010, 20, 229–235. [Google Scholar] [CrossRef]
  62. Wiatrowska, K.; Komisarek, J.; Olejnik, J. Variations in Organic Carbon Content and Dehydrogenases Activity in Post-Agriculture Forest Soils: A Case Study in South-Western Pomerania. Forests 2021, 12, 459. [Google Scholar] [CrossRef]
Figure 1. Activity of DHA in soil; A, B, C, D, E—explanations as in Table 1. The same lowercase letters above each column indicate that the average values of DHA activity (homogeneous group) are not significantly different at p < 0.001.
Figure 1. Activity of DHA in soil; A, B, C, D, E—explanations as in Table 1. The same lowercase letters above each column indicate that the average values of DHA activity (homogeneous group) are not significantly different at p < 0.001.
Forests 12 01310 g001
Figure 2. Configuration of variables in the system of the first two axes PC1 and PC2 of principal components. TOCs—total organic carbon in soil, SO42−—sulphate sulphur in soil, DHA—dehydrogenase activity, TSs—total S in soil, Cus—total Cu in soil, Fes—total Fe in soil, Mns—total Mn in soil, Zns—total Zn in soil, Cusa—available Cu in soil, Fesa—available Fe in soil, Mnsa—available Mn in soil, Znsa—available Zn in soil, TNn—total N in pine needles, TOCn—total organic carbon in pine needles, TSn—total S in pine needles, Cun—total Cu in pine needles, Fen—total Fe in pine needl, Mnn—total Mn in pine needles, Znn—total Zn in pine needles, Chl a+b — total chlorophyll content in pine needles, Carot—carotenoids in pine needles; A—Białe Błota, B—Belma Electomechanical Plant, C—Zachem Chemical Plant, D—The Zbigniew Załuski Park, E—The Forest Park of Culture and Recreation.
Figure 2. Configuration of variables in the system of the first two axes PC1 and PC2 of principal components. TOCs—total organic carbon in soil, SO42−—sulphate sulphur in soil, DHA—dehydrogenase activity, TSs—total S in soil, Cus—total Cu in soil, Fes—total Fe in soil, Mns—total Mn in soil, Zns—total Zn in soil, Cusa—available Cu in soil, Fesa—available Fe in soil, Mnsa—available Mn in soil, Znsa—available Zn in soil, TNn—total N in pine needles, TOCn—total organic carbon in pine needles, TSn—total S in pine needles, Cun—total Cu in pine needles, Fen—total Fe in pine needl, Mnn—total Mn in pine needles, Znn—total Zn in pine needles, Chl a+b — total chlorophyll content in pine needles, Carot—carotenoids in pine needles; A—Białe Błota, B—Belma Electomechanical Plant, C—Zachem Chemical Plant, D—The Zbigniew Załuski Park, E—The Forest Park of Culture and Recreation.
Forests 12 01310 g002
Table 1. Total content of sulphur (TSs), sulphate sulphur (SO42-s), Cus, Mns, Zns (mg kg−1), Fes (%) in soil samples, and the values of enrichment factor (EF).
Table 1. Total content of sulphur (TSs), sulphate sulphur (SO42-s), Cus, Mns, Zns (mg kg−1), Fes (%) in soil samples, and the values of enrichment factor (EF).
Sampling Location *TSs **SO42−s **CusMnsZnsFesEFEFEF
mg kg−1%CusMnsZns
A340.0 ± 22.25
CV = 6.54%
14.76 ± 2.87
CV = 19.44%
2.82 ± 0.16
CV = 5.67%
293.0 ± 9.87
CV = 3.37%
19.5 ± 1.22
CV = 6.26%
0.58 ± 0.03
CV = 5.17%
0.642.691.22
B202.0 ± 1.70
CV = 0.84%
22.69 ± 0.97
CV = 4.28%
3.53 ± 0.21
CV = 5.95%
109.0 ± 6.61
CV = 6.06%
22.8 ± 1.36
CV = 5.96%
0.53 ± 0.02
CV = 1.06%
0.881.091.75
C343.0 ± 6.32
CV = 1.84%
21.75 ± 1.45
CV = 6.67%
15.70 ± 0.82
CV = 5.22%
117.0 ± 6.01
CV = 5.14%
84.2 ± 3.13
CV = 3.72%
0.71 ± 0.03
CV = 4.22%
2.910.884.82
D337.0 ± 9.55
CV = 2.83%
21.94 ± 1.70
CV = 7.75%
13.40 ± 0.77
CV = 1.40%
88.1 ± 3.34
CV = 3.86%
70.9 ± 3.41
CV = 4.81%
0.42 ± 0.02
CV = 4.76%
4.201.126.86
E171.0 ± 18.21
CV = 10.65%
21.08 ± 2.23
CV = 10.58%
5.37 ± 0.21
CV = 3.91%
177.0 ± 7.11
CV = 4.02
27.7 ± 1.40
CV = 5.05%
0.57 ± 0.03
CV = 5.26%
1.241.651.97
* sampling location: A– Białe Błota, B—Belma Electomechanical Plant, C—Zachem Chemical Plant, D—The Zbigniew Załuski Park, E—The Forest Park of Culture and Recreation; average ± standard deviation, n = 12; ** Siwik-Ziomek et al. [30]; TSs—total content of sulphur in soil; SO42−—sulphate sulphur; Cus—total Cu in soil, Mns—total Mn in soil; Zns—total Zn in soil; Fes—total Fe in soil; EF—enrichment factor.
Table 2. Average content of Cusa, Mnsa, Znsa (mg kg−1) and Fesa (g kg−1) available to plants.
Table 2. Average content of Cusa, Mnsa, Znsa (mg kg−1) and Fesa (g kg−1) available to plants.
Sampling LocationCusaMnsaZnsaFesa
mg kg−1Content * Ratingmg kg−1Content Ratingmg kg−1Content Ratingg kg−1Content Rating
A1.10 ± 0.03
CV = 2.72%
medium161.0 ± 9.11
CV = 5.66%
high13.10 ± 0.62
CV = 4.73%
high1.53 ± 0.05
CV = 3.27%
medium
B1.02 ± 0.02
CV = 1.96%
medium28.9 ± 0.77
CV = 2.66%
medium5.96 ± 0.26
CV = 4.36%
high0.55 ± 0.03
CV = 5.45%
low
C6.70 ± 0.39
CV = 5.82%
high28.2 ± 0.96
CV = 3.40%
medium27.50 ± 1.42
CV = 5.16%
high0.71 ± 0.04
CV = 5.63%
medium
D5.95 ± 0.36
CV = 6.05%
high26.5 ± 0.93
CV = 3.51%
medium33.90 ± 1.50
CV = 4.42
high0.74 ± 0.03
CV = 4.05%
medium
E1.41 ± 0.06
CV = 4.26%
medium85.0 ± 4.12
CV = 4.85%
medium5.26 ± 0.26
CV = 4.94%
medium0.97 ± 0.05
CV = 5.15%
medium
A, B, C, D, E—explanations as in Table 1; average ± standard deviation, n = 12; Cusa—available Cu in soil, Mnsa—available Mn in soil, Znsa—available Zn in soil, Fesa—available Fe in soil, *Content of metals provided for in the applicable Polish regulations.
Table 3. Total nitrogen (TNn), total organic carbon (TOCn) (g kg−1 d.w.), total sulphur (TSn), total metals: Cun, Fen, Mnn, Znn. (mg kg−1 d.w.) and the ratio of carbon to nitrogen content (TOCn/NTn) in the dry weight of pine needles.
Table 3. Total nitrogen (TNn), total organic carbon (TOCn) (g kg−1 d.w.), total sulphur (TSn), total metals: Cun, Fen, Mnn, Znn. (mg kg−1 d.w.) and the ratio of carbon to nitrogen content (TOCn/NTn) in the dry weight of pine needles.
Sampling LocationTOCnTNnTOCn/TNnTSnCunFenMnnZnn
g kg−1 d.w.mg kg−1 d.w.
A487.5 17.03 a28.6972.0 ± 3.907 a
CV = 0.40%
5.13 ± 0.092 a
CV = 1.79%
248.6 ± 4.738 a
CV = 1.91%
109.2 ± 0.778 b
CV = 0.71%
58.75 ± 1.485 a
CV = 2.53%
B485.315.72 b30.9890.6 ± 6.664 a
CV = 0.75%
4.56 ± 0.001 b
CV = 0.02%
102.6 ± 12.586 d
CV = 12.27%
65.00 ± 2.263 c
CV = 3.48%
64.05 ± 0.919 a
CV = 1.43%
C485.315.60 b31.1825.4 ± 1.950 b
CV = 0.24%
4.91 ± 0.163 b
CV = 3.32%
203.3 ± 4.950 b
CV = 2.43%
182.0 ± 1.909 a
CV = 1.05%
54.30 ± 1.979 b
CV = 3.64%
D478.114.84 c32.2815.9 ± 2.36 b
CV = 0.29%
5.51 ± 0.170 a
CV = 3.09%
159.6 ± 12.021 c
CV = 7.53%
104.5 ± 4.242 b
CV = 4.06%
48.80 ± 2.404 c
CV = 4.93%
E478.414.21 d33.7657.9 ± 2.134 c
CV = 0.32%
4.36 ± 0.064 c
CV = 1.47%
154.6 ± 0.182 c
CV = 0.12%
120.6 ± 13.152 b
CV = 10.91%
56.10 ± 0.283 b
CV = 0.50%
Values followed by the same small letter within each column are not significantly different at p < 0.001; average ± standard deviation, n = 12; A, B, C, D, E—explanations as in Table 1; CV- coefficient of variation [%]; TNn—total nitrogen in needles, TOCn—total organic carbon in needles; TSn—total sulphur in needles; Cun—total Cu in pine needles; Fen—total Fe in pine needles; Mnn—total Mn in pine needles; Znn—total Zn in pine needles; d.w.—dry weight.
Table 4. Content of chlorophyll a (Chl a), chlorophyll b (Chl b), chlorophyll a+b (Chl a+b) and carotenoids in pine needles. (mg g−1 f.w.) of the Bydgoszcz agglomeration area.
Table 4. Content of chlorophyll a (Chl a), chlorophyll b (Chl b), chlorophyll a+b (Chl a+b) and carotenoids in pine needles. (mg g−1 f.w.) of the Bydgoszcz agglomeration area.
Sampling LocationAssimilation Pigments Content mg g−1 f.w.Chl a/Chl b
Chl aChl bChl a+bCarot
A1.860 ± 0.12 a
CV = 6.51%
0.736 ± 0.097 a
CV = 13.18%
2.594 ± 0.222 a
CV = 8.55%
0.539 ± 0.046 a
CV = 8.53%
2.52
B1.753 ± 0.17 a
CV = 9.75%
0.621 ± 0.126 a
CV = 20.29%
2.237 ± 0.254 a
CV = 11.35%
0.377 ± 0.044 b
CV = 11.67%
2.82
C1.958 ± 0.123 a
CV = 6.28%
0.660 ± 0.063 a
CV = 9.54%
2.618 ± 0.387 a
CV = 14.78%
0.573 ± 0.150 a
CV = 26.18%
2.96
D1.280 ± 0.191 b
CV = 14.92%
0.620 ± 0.092 a
CV = 14.84%
1.900 ± 0.183 b
CV = 9.63%
0.619 ± 0.047 a
CV = 7.59%
2.06
E1.880 ± 0.108 a
CV = 5.74%
0,821 ± 0.097 a
CV = 11.81%
2.701 ± 0.305 a
CV = 11.29%
0.526 ± 0.081 a
CV = 15.40%
2.28
Values followed by the same small letter within each column are not significantly different at p < 0.001; average ± standard deviation, n = 12; A, B, C, D, E—explanations as in Table 1; CV- coefficient of variation [%]; Chl a—chlorophyll a; Chl b—chlorophyll b; Chl a+b—chlorophyll a+b; Carot—carotenoid; f.w.—fresh weight.
Table 5. Correlation coefficient (R), determination (R2) and linear regression models for selected properties of soils and pine needles (n = 12; p < 0.05).
Table 5. Correlation coefficient (R), determination (R2) and linear regression models for selected properties of soils and pine needles (n = 12; p < 0.05).
VariablesRegression EquationRR2
DependentIndependent
ZnsaZnsy = −0.6987 + 0.19686x0.9980.996
CusZnsy = −0.6987 + 0.19686x0.9970.994
ZnsDHAy = 4.0819 + 40.959x0.9350.874
ZnsaDHAy = 0.06016 + 8.1080x0.9390.882
DHACusy = 0.11242 + 0.10866x0.9390.882
TNnTOSny = 8.3151 + 0.00861x0.9390.882
TOCnTNny = 425.15 + 3.7316x0.9080.824
CusaTOCsy = −10.95 + 1.6991x0.9060.821
CusTOCsy = −22.48 + 3.6716x0.9310.867
DHATOCsy = −2.750 + 0.44927x0.9850.970
TOCsZnsy = 6.2752 + 0.04600x0.9190.045
TOCsCusy = 6.4170 + 0.23628x0.9310.867
TOCsCusay = 6.7837 + 0.48277x0.9050.819
TOCsDHAy = 6.1897 + 2.1574x0.9850.970
Explanations as in Figure 2.
Table 6. Values of the two extracted factor loadings for 26 elements (n = 12).
Table 6. Values of the two extracted factor loadings for 26 elements (n = 12).
ElementsComponents Matrix
PCA 1PCA 2
SO42−s−0.077−0.982
Chl a0.5290.043
Chl b0.3240.307
Chl a+b0.4730.017
Carot−0.471−0.638
TNn0.766−0.550
TOCn0.725−0.396
TSn0.599−0.523
TSs−0.7810.439
Cus−0.817−0.534
Fes0.232−0.292
Mns0.848−0.205
Zns−0.787−0.570
Cusa−0.774−0.612
Fesa0.703−0.343
Mnsa0.810−0.168
Znsa−0.649−0.732
Cun−0.232−0.763
Fen0.393−0.794
Mnn−0.314−0.578
Znn0.7310.458
sand0.662−0.658
clay−0.6720.658
silt−0.5580.625
TOCs−0.700−0.545
pHKCl−0.3630.747
Values in bold are marked as significant; explanations as in Figure 2.
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Figas, A.; Siwik-Ziomek, A.; Kobierski, M. Heavy Metals and Sulphur in Needles of Pinus sylvestris L. and Soil in the Forests of City Agglomeration. Forests 2021, 12, 1310. https://doi.org/10.3390/f12101310

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Figas A, Siwik-Ziomek A, Kobierski M. Heavy Metals and Sulphur in Needles of Pinus sylvestris L. and Soil in the Forests of City Agglomeration. Forests. 2021; 12(10):1310. https://doi.org/10.3390/f12101310

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Figas, Anna, Anetta Siwik-Ziomek, and Mirosław Kobierski. 2021. "Heavy Metals and Sulphur in Needles of Pinus sylvestris L. and Soil in the Forests of City Agglomeration" Forests 12, no. 10: 1310. https://doi.org/10.3390/f12101310

APA Style

Figas, A., Siwik-Ziomek, A., & Kobierski, M. (2021). Heavy Metals and Sulphur in Needles of Pinus sylvestris L. and Soil in the Forests of City Agglomeration. Forests, 12(10), 1310. https://doi.org/10.3390/f12101310

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