Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.
2001
Volume 4
Issue 1
Topic:
Agronomy
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Raczuk J. 2001. POŁUDNIOWOPODLASKA LOWLAND ECOSYSTEM SOIL BUFFER CAPACITY , EJPAU 4(1), #01.
Available Online: http://www.ejpau.media.pl/volume4/issue1/agronomy/art-01.html

POŁUDNIOWOPODLASKA LOWLAND ECOSYSTEM SOIL BUFFER CAPACITY

Jolanta Raczuk

 

ABSTRACT

The paper presents the results of research on soil buffer capacity in Południowopodlaska Lowland ecosystems. The buffer curves were sketched and soil buffer areas measured with planimeter. The data obtained were compared with some soil physical and chemical properties using statistical methods. The greatest acid buffer capacity was observed in highly base-saturated meadow ecosystem soils (VCEB = 82.8 - 98.7%), while the greatest alkali buffer capacity – low base-saturated soils of forest ecosystems (VCEB = 10.8 - 49.5%). Upper horizons of arable land soils showed a greater alkali rather than acid buffer capacity, while soil buffer capacity of deeper mineral horizons changed with soil physical and chemical properties.

Key words: arable land soils, forest soils, meadow soils, buffer capacity, soil physical and chemical properties.

INTRODUCTION

Soil excessive acidification is most responsible for chemical deterioration of soil environment in Poland, affecting physical, chemical and biological soil properties [4,15]. The acidification results in increased base cations leaching deep into the soil profile, toxic aluminium and manganese emergence, increased heavy metal phytotoxicity and decreased fertilisation effect, which deteriorates the yield quantity and, especially, quality [4].

Soil acid deterioration in Poland is greater with years due to air pollution, increased mineral and decreased organic fertilisation, storage of acid waste on soil surface, rainfall effect and insufficient arable land liming and scarce forest soil liming [4,15]. The analysis of acid and alkali soil buffer capacity helps to define the rate and extent of soil chemical deterioration [1,5,6,9,10,12,13,14].

The Południowopodlaska Lowland, a part of the so-called Green Lungs of Poland, is a macro-region whose environment has been well preserved; a typical agricultural land where emission of SO2 and NOx remains low [2,3]. Acid and highly acid soils account for 80% of the Południowopodlaska Lowland [15], much affected by the parent rock origin as well as the climate, forest species composition and agricultural practices. Today the soil acidity in the region is intensified by mineral fertilisers and acid rains, which can be due to pollution mainly from south-western Poland.

Assuming that soil shows some resistance to destructive environmental factors, e.g. inflicting soil pH, the research was launched to define the buffer capacity of soil in Południowopodlaska Lowland different ecosystems as well as the physical and chemical properties affecting the buffer capacity.

MATERIAL AND METHODS

The research covered ten soil profiles to represent varied soil types and subtypes: typical lessive soils (profile 1 and 7), pseudogley lessive soils (2,8), leached brown soil (3), proper black earth (4,5), mineral-and-muck soils (6), podzolic-and-rusty soils (9), deluvial humic soils (10) in the ecosystems of farmland, meadows and forests of the Południowopodlaska Lowland. Soil was sampled in September 1997 and 1998. According to the Central Statistical Office (GUS) data [2,3] (Table 1), the rainfall pH was always less than 5.0 – below the minimum value of natural rainfall acidity [7]. Annual mean rainfall pH over 1995 - 1998 at Jaczewo control station (Południowopodlaska Lowland) ranged from 4.30 - 4.62, while the annual rainfall from 557.6 to 718.0 mm [2].

Soil samples (1 kg) were taken from selected horizons and subhorizons of the soil profiles researched and dried under laboratory conditions. Samples from raw humus subhorizons were ground while samples from the mineral horizon were crushed in a mortar and sieved through 1mm sieve.

Table 1. Weather conditions over 1997-1998 in the region researched

Months

Years

I

II

II

IV

V

VI

VII

VII

IX

X

XI

XII

1997

1998

Rainfall, mm

   

4.4

22,7

36.1

35.5

33.4

59.1

248.7

19.1

38.9

49.9

43.4

25.2

616.4

 

27.1

42.1

39.3

66.5

59.5

133.0

71.5

111.3

32.6

69.4

43.4

22.3

 

718.0

Number of days with daily rainfall > 0.1mm

   

16

19

12

15

14

13

20

6

11

23

20

23

192

 

17

15

17

14

7

17

20

18

8

20

20

20

 

193

pH

   

3.78

4.24

4.49

4.67

4.70

4.53

4.97

4.53

4.72

4.37

4.58

4.28

4.62

 

4.35

4.55

4.43

4.67

4.74

4.72

4.63

4.62

4.93

4.73

4.33

4.22

 

4.59

SO4-2 - S, mg.dm-3

   

4.06

1.06

1.31

1.43

1.02

0.85

0.44

1.47

1.17

1.08

1.28

0.83

0.87

 

1.01

0.93

0.94

1.19

0.65

0.86

1.08

0.92

0.35

0.45

0.89

0.84

 

0.87

NO3 – N, mg.dm-3

   

2.51

0.89

0.81

0.74

0.52

0.31

0.17

0.56

0.44

0.62

0.50

0.59

0.42

 

0.61

0.76

0.78

0.56

0.33

0.31

0.43

0.38

0.19

0.32

0.66

0.72

 

0.45

Buffer curves were drawn according to Arrhenius with Brenner and Kappen modification [11] adding increasing amounts of 0.1mol HCl.dm-3 and 0.1mol NaOH.dm-3 to the soil, which after 24h was followed by solution pH measurement. Areas between standard curve and buffer curves drawn for particular genetic horizons were measured with the planimeter. Similarly there were defined the grain size composition according to Bouyoucos method with Casagrande and Prószyński modifications, percentage of carbon in organic compounds - the Tiurin method, hydrolytic acidity (Hh) - with the Kappen method, exchangeable bases (CEB) - in 1 mol CH3COONH4.dm-3, pH = 7, and in carbonate horizons in 1 mol NH4Cl.dm-3 [11].

Cation exchange capacity (CEC) was calculated using the following equation: CEC = CEB + Hh, the degree of base saturation of soil sorption complex with %VCEB= CEB.100/CEC and the degree of hydrogen saturation of soil sorption complex was defined with %VHh = Hh.100/CEC.

Soil buffer area linear correlation coefficients and physical and chemical soil properties were calculated using the following equation [16]:

where:

n – number of pairs of observations (xi, yi),
xi – value of independent variable,
x – arithmetic variable x mean
yi – value of dependent variable,
y – arithmetic variable y mean.

The correlation coefficient value significance was determined for p 0.01 and p 0.05 and degrees of freedom for v = n-2.

RESULTS

The soils researched varied in their physical and chemical properties. The soils originated from Riss sands, dust and clay contained from 4 to 49% of < 0.02 mm particles and from 2 to 24% of colloidal clay fractions (< 0.002 mm) (Table 2).

Table 2. Soil grain size composition

Profile no.
Position

Genetic
horizon

Depth,
cm

Share of fraction, %

1- 0.1 mm
in diameter

0.1- 0.02 mm in diameter

< 0.02 mm in diameter

< 0.002 mm in diameter

1
Mokobody

Ap

0-32

62

24

14

3

AEet

32-40

62

23

15

4

Eet

40-65

70

18

12

3

EetBt

65-85

55

20

25

10

Bt

85-110

46

19

35

21

C

>110

39

24

37

24

2
Lipiny

Ap

0-25

55

31

14

4

AEet

25-40

53

34

13

3

Eet

40-57

38

47

15

3

IIBtg

57-100

40

31

29

16

IICg

>100

38

28

33

20

3
Gołaszyn

Ap

0-30

60

25

14

6

Bbr

30-48

56

28

16

7

C

>48

48

38

14

6

4
Cierpigórz

Aa

0-8

35

36

29

11

Aa

8-42

34

35

31

9

Ccagg

42-98

41

33

26

7

II Ccagg

>98

78

12

10

2

5
Siedlce

Aa

0-10

69

16

15

7

Aa

10-39

17

15

14

6

ACcagg

39-64

74

14

12

5

Ccagg

64-100

83

6

11

4

Gca

>100

57

17

26

10

6
Zakrze

AOM

0-25

47

29

24

12

D1G

25-60

26

47

27

13

D2G

>60

81

12

7

2

7
Stok Lacki

Ol

0-2

0

0

0

0

Ah

2-9

52

32

16

6

AEet

9-29

57

25

18

5

Eet

29-50

54

25

21

5

Bt

50-92

47

22

31

18

C

>92

39

26

35

24

8
Niemojki

Ol

0-3

0

0

0

0

Ah

3-15

43

41

16

6

AEet

15-31

42

42

16

5

Eet

31-56

39

44

17

5

IIBtg

56-101

38

39

23

14

IICg

>101

35

32

33

20

9
Gostchorz

Ol

0-2

0

0

0

0

Ofh

2-6

0

0

0

0

AEes

6-18

79

13

8

2

BfeBv

18-48

82

10

8

2

BvC

48-56

91

5

4

2

C1

56-86

93

3

4

2

C2

>86

90

6

4

2

10
Konstantynów

Ol

0-1

0

0

0

0

Aa

1-9

5

46

49

14

Aa

9-39

9

46

45

12

AC

39-118

19

52

29

10

C1

118-139

31

51

18

7

C2

>139

38

41

21

14

The soil pH ranged from highly acidic to alkaline (pHKCl = 3.19 - 7.45); meadow soil pH - from 6.04 to 7.45, arable land soil pH - from 4.25 to 6.43, while the lowest reaction (pH from 3.19 to 5.20) was recorded for forest soils (Table 3).

Table 3. Soil physical and chemical properties

Profile no.

Genetic
horizon

pH in

Organic C, %

CaCO3 , %

H2O

KCl

1

Ap

5.42

4.72

0.71

0.0

AEet

4.93

4.25

0.20

0.0

Eet

5.24

4.55

0.09

0.0

EetBt

6.23

5.10

0.11

0.0

Bt

6.61

5.44

0.18

0.0

C

6.44

5.10

0.14

0.0

2

Ap

5.83

4.85

0.97

0.0

AEet

5.34

4.46

0.31

0.0

Eet

5.62

4.66

0.11

0.0

IIBtg

6.03

4.89

0.15

0.0

IICg

6.21

4.95

0.12

0.0

3

Ap

6.70

5.51

0.79

0.0

Bbr

6.75

5.62

0.28

0.0

C

7.02

6.43

0.12

0.0

4

Aa

6.88

6.10

3.68

0.0

Aa

6.92

6.04

2.92

0.0

Ccagg

7.64

7.23

0.33

2.6

II Ccagg

8.00

7.34

0.23

3.7

5

Aa

7.12

6.73

3.17

0.0

Aa

7.21

6.90

2.51

0.0

ACcagg

7.43

7.02

0.96

2.1

Ccagg

7.24

7.24

0.26

2.5

Gca

7.82

7.45

0.18

4.2

6

AOM

7.25

6.94

5.92

0.0

D1G

7.36

7.10

0.20

0.0

D2G

7.12

6.65

0.06

0.0

7

Ol

4.44

3.48

3.37

0.0

Ah

4.23

3.40

2.39

0.0

AEet

4.02

3.80

0.60

0.0

Eet

4.33

3.80

0.24

0.0

Bt

4.42

3.90

0.14

0.0

C

4.51

3.90

0.14

0.0

8

Ol

4.52

3.98

35.3

0.0

Ah

4.12

3.63

0.96

0.0

AEet

4.24

4.05

0.55

0.0

Eet

4.31

4.16

0.24

0.0

IIBtg

4.52

3.60

0.11

0.0

IICg

4.71

3.70

0.10

0.0

9

Ol

3.91

3.52

48.2

0.0

Ofh

3.62

3.19

39.1

0.0

AEes

3.83

3.27

1.14

0.0

BfeBv

4.24

4.09

0.30

0.0

BvC

4.41

4.16

0.05

0.0

C1

4.54

4.10

0.03

0.0

C2

6.34

5.20

0.08

0.0

10

Ol

4.82

4.41

31.12

0.0

Aa

4.53

4.12

5.46

0.0

Aa

4.61

4.13

4.08

0.0

AC

4.72

4.21

1.15

0.0

C1

4.53

4.11

0.54

0.0

C2

4.35

3.94

0.33

0.0

The organic C content in mineral-and-organic horizons of the soils researched ranged from 0.71% to 5.29%. The highest percentage of compound organic C, from 31.1% to 48.2%, was noted in forest soil organic horizons (profiles 7, 8, 9, 10). The cation exchange capacity of the soil researched (Table 4)

Table 4. Sorption properties and buffer area of investigated soils

No.

Genetic
horizons

Depth,
cm

mmol(+)·kg-1

%
VCEB

%
VHh

cm2

CEB

Hh

CEC

PNaOH

PHCl

1

Ap

0 – 32

31.0

28.7

59.7

51.9

48.1

11.6

5.6

AEet

32 – 40

25.3

24.2

49.5

51.1

48.9

9.8

3.7

Eet

40 – 65

21.0

9.8

30.8

62.8

31.8

6.8

3.2

EetBt

65 – 85

96.0

11.6

107.6

89.2

10.8

6.3

7.2

Bt

85 – 110

127.2

12.4

139.6

91.1

8.9

7.4

10.3

C

>110

148.0

14.8

162.8

90.9

9.1

8.6

10.7

2

Ap

0 – 25

34.0

25.1

59.1

57.5

42.5

13.9

6.8

AEet

25 – 40

21.1

19.1

40.1

52.4

47.6

9.7

4.8

Eet

40 – 57

18.0

10.5

28.5

63.2

36.8

7.7

3.9

IIBtg

57 – 100

84.0

18.4

102.4

82.0

12.0

8.7

7.2

IICg

>100

124.0

19.1

143.1

86.7

13.3

9.5

8.4

3

Ap

0 – 30

29.5

19.0

48.5

60.8

39.2

10.2

7.2

Bbr

30 – 48

23.6

9.2

32.8

71.9

28.1

8.2

7.9

C

>48

27.1

4.2

31.3

86.5

13.5

5.6

8.8

4

Aa

0 – 8

89.3

18.5

107.8

82.8

17.2

9.7

21.5

Aa

8 – 42

82.6

14.5

97.1

85.1

14.9

9.3

21.0

Ccagg

42 – 98

64.5

6.0

70.5

91.5

8.5

6.0

19.4

IICcagg

>98

28.6

1.0

29.6

96.6

3.4

1.5

15.1

5

Aa

0 –10

74.2

8.8

83.0

89.4

10.6

7.9

22.4

Aa

10 - 39

65.1

6.6

71.7

90.8

9.2

7.4

21.5

ACcagg

39 – 64

38.8

3.3

42.1

92.2

7.8

4.5

16.4

Ccagg

64 – 100

31.3

2.0

33.3

94.0

6.0

2.5

14.8

Gca

>100

89.0

1.2

90.2

98.7

1.3

2.2

23.6

6

AOM

0 – 25

245.0

27.0

272.0

90.1

9.9

8.4

23.4

D1G

25 – 60

62.5

7.7

70.2

89.0

11.0

7.3

19.4

D2G

>60

26.8

4.2

31.0

86.4

13.6

2.1

6.2

7

Ol

0 – 2

nd*

442.1

nd

nd

nd

23.5

6.6

Ah

2 – 9

27.5

90.0

117.5

23.4

76.6

25.1

5.3

AEet

9 – 29

18.4

44.3

62.7

29.3

70.7

18.7

4.2

Eet

29 – 50

16.5

35.0

51.5

32.0

68.0

16.6

3.3

Bt

50 – 92

47.0

51.0

98.0

47.9

52.1

18.6

6.1

C

>92

51.0

54.0

105.0

48.6

51.4

18.9

7.1

8

Ol

0 – 3

nd

398.2

nd

nd

nd

18.3

5.5

Ah

3 – 15

14.4

54.0

68.4

21.1

78.9

19.7

5.1

AEet

15 – 31

12.5

33.7

46.2

27.1

72.9

13.6

4.0

Eet

31 – 56

9.4

23.0

32.4

28.9

70.9

10.8

3.0

IIBtg

56 – 101

18.7

39.3

68.2

42.3

57.7

12.5

5.7

IICg

>101

23.9

47.5

84.7

43.9

56.1

14.3

6.9

9

Ol

0 – 2

nd

541.0

nd

nd

nd

27.5

3.7

Ofh

2- 6

nd

623.1

nd

nd

nd

30.5

2.8

AEes

6 – 18

7.4

61.7

69.1

10.8

89.2

24.5

2.5

BfeBv

18 – 48

5.9

31.9

36.8

16.0

84.0

16.6

6.0

BvC

48 – 56

3.0

15.9

18.9

15.9

84.1

5.1

4.1

C1

56 – 86

3.5

15.0

18.5

18.9

81.1

3.7

2.8

C2

>86

12.1

8.1

20.2

59.9

40.1

3.2

4.4

10

Ol

0 – 1

nd

339.0

nd

nd

nd

20.5

6.9

Aa

1 – 9

100.0

107.6

207.6

48.2

51.8

22.9

6.6

Aa

9 – 39

93.4

95.2

188.6

49.5

50.5

21.6

6.0

AC

39 – 118

45.4

49.0

94.4

48.1

51.9

16.2

5.4

C1

118 - 139

34.0

32.0

72.0

47.2

52.8

13.5

4.7

C2

>139

31.0

38.8

69.8

44.4

55.6

12.7

4.2

nd*- non determined
ranged from 18.5 mmol(+).kg-1 in loose sand horizon of forest soil to 272.0 mmol(+).kg-1 in muck horizon of meadow soil.

The buffer curves drawn for arable land soils were similar in shape but differed in their deviation from the standard curve; the greatest deviation for alkaline pH was shown by humic horizons whose alkaline buffer capacity was 1.4 - 2 times greater than the acid buffer capacity. The greater the depths of arable land soil genetic horizon, the greater the differences in the buffer capacity. Out of all the lessive soil mineral horizons, the lowest alkaline and acid buffer capacities were recorded for Eet horizons whose respective buffer area measurements were: PNaOH = 3.2 - 3.9 cm2, PHCl = 6.8 - 7.7 cm2 (Fig. 1, Table 4). Acid and alkaline buffer capacities in illuvial horizon Bt and parent rock C of lessive soils were greater and less diversified than buffer capacities of Eet horizons. As for brown soil, there was recorded a slight increase in the resistance of Bbr and C genetic horizons to acidificat ion (PHCl 7.9 - 8.8 cm2) and a considerable decrease in their resistance to alkalisation (PNaOH = 8.2 - 5.6 cm2), which was due to an increase in base saturation of soil sorption complex (VCEB = 60.8 - 86.5%).

Fig. 1. Buffer curves drawn for lessive soil horizons

Fig. 2. Buffer curves drawn for brown soil horizons

For all the arable land soils analysed, the greatest increase in pH value as well as the greatest decrease in most genetic horizons were recorded when 2-4 cm3 of 0.1mol NaOH.dm-3 or 0.1 mol HCl.dm-3 were added. Any further acidifying or alkalisation caused less considerable pH changes. The highest pH increase up to 10.9 was noted in Eet horizons of lessive soils and parent rock C of brown soil after 10 cm3 of NaOH was added, while the lowest pH decrease to 1.9 - 2.0 was also noted in Eet horizons (Fig. 1, 2).

The buffer curves drawn for genetic horizons of meadow soils (profiles 4, 5, 6) indicated very high deviation from standard curve for acid pH and much smaller for alkaline pH. The ratio of the above areas ranged from 2.2 in humic horizon A in profile 4 to 15.7 in Gca mineral horizon of marly clay in profile 5 (Table 4). In the meadow soil profiles analysed, generally, the greater the depth of genetic horizon, the smaller the buffer area, ranging from 21.5 - 23.4 cm2 in humic horizons to 19.4 - 6.2 cm2 in mineral horizon. Only the buffer area defined for Gca carbonate clay horizon in profile 5 was very large and amounted to 23.6 cm2. Similar changes were observed for the genetic horizon buffer area for alkaline pH which was much smaller (PNaOH = 1.5 - 9.7 cm2).

Whenever acid was added, the buffer curves drawn for meadow soil humic horizons showed a high soil resistance to acid activity, hence slight pH changes, while deeper mineral horizons showed a considerable pH value decrease (Fig. 3, 4).

Fig. 3. Buffer curves drawn for black earth horizons

Fig. 4. Buffer curves drawn for mucky soil horizons

The forest soil profiles analysed (profiles 7, 8, 9, 10) were observed to show the greatest resistance to alkalisation in organic as well as mineral-and-organic horizons whose buffer curve slope against the horizontal of the graph was much smaller than the buffer curve slope drawn for deeper mineral horizons (Fig. 5, 6, 7).

Fig. 5. Buffer curves drawn for forest lessive soil horizons

Fig. 6. Buffer curves drawn for rusty Fig. 7. Buffer curves drawn for deluvial soil horizons soil horizons

In organic and mineral-and-organic forest soil horizons, adding 10 cm3 of NaOH increased the value of pH up to 5.4 - 8.5, while in mineral horizons it increased up to as much as 11.1. Out of all the forest soils analysed, the greatest alkaline buffer capacity was noted in rusty soil whose buffer areas ranged from 24.5 to 30.5 cm2. The C content in organic compounds there ranged form 1.14 to 48.23% (Table 3). Mineral horizons C1 and C2 of that profile showed the smallest - 3.2 - 3.7 cm2 alkaline buffer area. Both horizons represented loose sand grain size composition of a low sorption capacity (CEC=18.5-20.2 mmol(+).kg-1) (Table 4). In forest lessive soils the lowest alkaline buffer capacity was detected in eluvial horizons Eet whose PNaOH buffer areas ranged from 10.8 to 16.6 cm2. Illuvial horizons Bt and parent rock C showed a greater alkaline buffer capacity, whi le the PNaOH buffer areas ranged from 12.5 to 18.9 cm2.

In deluvial humic soils (profile 10) originated from hydro-glacial dust, the genetic horizon resistance to alkaline activity decreased with the depth of soil profile, which was seen from their buffer areas decreasing from 22.9 cm2 in accumulation horizon Aa to 12.7cm2 in horizon C2 (Table 4). The greater the depth, the lower cation exchange capacity of genetic horizons (207.6 - 69.8 mmol(+).kg-1), C content in organic compounds (31.12 - 0.33%) and the content of particles <0.02 mm (49 - 18%) (Tables 2,3,4).

Forest soil alkaline buffer capacity was much lower than acid buffer capacity. The smallest acid buffer areas (PHCl 2.5 - 3.3 cm2) were observed in lessive soil horizons Eet and in rusty soil horizons AhEes. The greatest HCl buffer areas were observed for organic horizons O (PHCl 3.7-7.1 cm2), for mineral-and-organic horizons Ah, illuvial horizons Bt as well as parent rock C in lessive soils (Table 4).

DISCUSSION

The soil types and their genetic horizons analysed varied in their buffer capacity due to their physical and chemical properties. The statistical analysis showed that the HCl buffer area size was highly significantly and positively correlated with the pH value in H2O (r = 0.80**), with the pH value in KCl (r = 0.84**), with the exchangeable base sum (r = 0.57**) as well as with the cation exchange capacity (r = 0.32*) and negatively correlated with hydrolytic acidity (r = - 0.40**) (Table 5). The NaOH buffer area was highly significantly and positively correlated with the hydrolytic acidity (r = 0.63**), the C content of organic compounds (r = 0.50**), the cation exchange capacity (r = 0.33*) and with the <0.02 mm particle content (r = 0.36*), and negatively with the pH value in H2O (r = - 0.76**) as well as with the pH value in KCl (r = - 0.75**).

Table 5. Correlation coefficients between alkaline/acid buffer area and physical and chemical soil properties

Correlation

Number

Correlation coefficient
(r)

Significance level
(p)

PNaOH – pH in H2O

51

-0.76

0.01

PNaOH - pH in KCl

51

-0.75

0.01

PNaOH - % organic C

51

0.51

0.01

PNaOH - Hh

51

0.63

0.01

PNaOH - CEC

46

0.33

0.02

PNaOH - % < 0.02 mm

46

0.36

0.02

PHCl - pH in H2O

51

0.80

0.01

PHCl - pH in KCl

51

0.84

0.01

PHCl - CEB

46

0.61

0.01

PHCl- Hh

51

- 0.43

0.01

PHCl - CEC

46

0.32

0.03

The highest buffer capacity was noted in organic and mineral-and-organic horizons of the soils examined; meadow soils - acid buffer capacity especially, while in upper horizons of arable land and forest soils - alkaline buffer capacity. Humic horizons of meadow soils (black earth and muck soil) showed a very high sorption capacity (CEC = 71.7 - 272.0 mmol(+).kg-1), base saturation (VCEB= 82.8 -90.8%) and high content of carbon in organic compounds (2.51 - 5.92%). In meadow soil horizons rich in CaCO3 the value of PNaOH was low and of PHCl - high. Similar relations were recorded by Miechówka et al. [8] for Podhale soil buffer capacity.

In arable land and forest lessive soil profiles, the lowest alkaline as well as acid buffer capacity was observed in horizon Eet due to lower sorption capacity of these horizons (CEC = 32.4 - 51.5 mmol(+).kg-1) saturated mostly with hydrogen cations (VHh= 31.8 - 70.9%) and could have been due to decreased richness in some buffer systems.

Out of all the soils analysed, the greatest alkaline buffer capacity was noted for forest soils, yet they showed less resistant to acidification. Buffer curves drawn for the impact of acid on forest soils were rather flat. A considerable change in the curve slope was recorded after adding 2 - 4 cm3 of 0.1 mol HCl.dm-3. A greater amount of acid (up to 10 cm3) caused slight pH changes up to 2.5 - 2.0 (in some horizons even up to pH 1.7). Similar relations were also recorded by other authors who analysed the course of two buffer curve sections – the so-called pH jump and slow change [5,13,17], which also applies for arable land soils. All that could have been related to the so-called buffer ‘threshold’ below which the soil reaction is affected by acid aluminium ion extraction from weathering horizons or by acid organic matter extraction from organic and mineral-and-organic horizons where pH value decreased to 2 and below.

Alkaline buffer curves drawn for organic and mineral-and-organic forest soil horizons showed a very high deviation from standard curve, which pointed to a high humus resistance to pH growth and was due to highly unsaturated forest humus where acid cations prevailed (VHh = 51.8 - 89.2 %). In forest soils hydrogen-and-acidic group bonds as well as exchangeable aluminium could neutralise a considerable number of alkalis, while acid neutralising potential was due to a limited amount of alkaline cations (VCEB = 10.8 - 49.5%). Similar observations were recorded by other authors who researched buffer of soils used differently [9,10,12,13].

Buffer capacity of different soils of varied ecosystems investigated results from soil formation processes, while a varied buffer area in different genetic horizons – from uneven distribution of buffer systems (carbonate, silicate, aluminous, ferric) [17], which was clearly visible in the profiles of the soils examined, especially in lessive arable land and forest soils as well as in rusty forest soil.

CONCLUSIONS

  1. Out of all the soils of different Południowopodlaska Lowland ecosystems examined, the greatest resistance to acid activity was recorded for meadow soils and their alkaline buffer capacity was 2 - 10 times lower.

  2. The greatest resistance to alkaline activity was noted for forest soils, yet they showed little resistance to acid activity.

  3. Upper horizons of arable land soils showed a greater alkali rather than acid buffer capacity, while soil buffer capacity of deeper mineral horizons changed with soil physical and chemical properties.

  4. Buffer capacity of different genetic horizons resulted from soil formation processes.

  5. In lessive arable land and forest soil profiles, the lowest alkaline and acid buffer capacities were observed in horizons Eet showing lower exchange cation capacity than in illuvial horizons Bt whose buffer capacity was much higher.

  6. The statistical analysis showed that the soil resistance to acid activity defined with correlation coefficient was highly significantly correlated with pH value in KCl and in H2O, sum of exchangeable bases (SEB), hydrolytic acidity (Hh) and with cation exchange capacity (CEC).

  7. The resistance of the soils to alkaline activity was highly significantly correlated with pH in H2O and in KCl, hydrolytic acidity (Hh), C content of organic compounds, < 0.02 mm particle content and with cation exchange capacity (CEC).


REFERENCES

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  13. Porębska G., Ostrowska A., 1992. Buffer capacity of soils at monitoring centres of Borecka Forest, Diabla Góra and Tucholskie Forest – Swornegacie. Ochr. ¦rod. Zas. Nat. 4, 63-70 [in Polish].

  14. Porębska G., Ostrowska A., 1998. Buffer properties of soils in deforested areas of Izerskie Mts. in Poland. Polish J. Soil Sci. 31(1), 59-62.

  15. Siuta J., 1995. Chemical degradation and renovation of soils in Poland. Chemia i Inż. Ekolog. 1 (1), 9-21 [in Polish].

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Submited:
Jolanta Raczuk
Department of Ecology and Environment Protection,
University of Podlasie
12 Prusa, 08-110 Siedlce, Poland
E-mail: ekologia@ap.siedlce.pl

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed ‘Discussions’ in each series and hyperlinked to the article.


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