Published in K. Matějka, ed., Investigation of the Forest Ecosystems and of Forest Damage. Praha, 1995, p. 95-106

Bioindication of Nutrition State and Pollution on the Base of Foliar Analysis

Karel Matějka

 

Abstract

An analyse and evaluation of results of the chemical analysis of the Norway spruce (Picea abies) needles was matter of attention. The samples of 1st to 4th needle-year-classes (NYCs) were taken in the area of Czech Republic. Mutual relations among elements were studied using a multivariate ordination technique. There is evidence on different behaviour of 1st and 2nd NYCs comparing 3rd and 4th ones.

Keywords

air pollution, bioindication, foliar analysis, heavy metals, ICP-Forests, mineral elements, monitoring, multivariate analysis, nutrients, Picea abies (L.) KARSTEN

Comment

The used analyses in this paper were financially supported by the Ministry of Agriculture of the Czech Republic. Samples of needles were collected by Mr. Martin Černý with co-workers. Chemical analyses were provided by State Checking and Testing Institute in Agriculture in Brno.

 

Introduction

The concentration of single elements or the ratios of two elements are a matter of interest traditionally (e.g. Steffan, 1989, 1991; Dmuchowski, Bytnerowicz, 1994; Buchmann, Oren, Zimmermann, 1994). The most recent results of monitoring on the basis of foliar analysis have been published in the region of Czech Republic (West Bohemia prevails) by Skuhravý et al. (1995) and in Slovakia by Maňkovská (1995). Within the International co-operative programme Assessment and Monitoring of Air Pollution Effects on Forests (ICP-Forests; Matějka, 1993, 1994, 1995) nutrient state of the Norway spruce (Picea abies (L.) KARSTEN) young stands was estimated on the basis of foliar analysis.

The aim of this paper is to describe

  1. situation with the content of some mineral elements in the Picea abies needles
  2. development of these contents during four seasons (within four needle-year-classes)
  3. the relationships among analysed elements
  4. variability of the minerals content in area of the Czech republic

One or two first needle-year-classes are used for investigation of nutrient supply usually (Aamlid, 1993; Stefan, 1989, 1991). It would be possible insufficient for some purposes as an indication of the pollution. The duration of material (needles) exposition is very important in the process of element accumulation. Regarding to the goals of this paper, total minerals content including matter on the needle surface was determined.

Methods

Needles were sampled from branches from the top third of crone in young Picea abies (L.) KARSTEN stands of surrounding of the ICP-Forests monitoring plots (8km-network, see Matějka, 1993). This part of crone should be full developed and sunny. The four youngest needle year classes were separated and dried. The milled samples were analysed according the total content of N, P, K, Ca, Mg, Na, Al, Fe, Mn, Zn, Cu, Pb, Cd and Cr.

Content of elements in the whole data set was described by computing medians rather than averages with relation to the non-normal distribution of the data.

Relations among elements were studied on the base of multivariate analysis. The data set was transformed by medians (x' = x/med). Principal component analysis (PCA) gives a picture about relation among elements in position of they in ordination space.

Results and discussion

Principal results are collected in Table 1. Distribution of a single element concentration in needles within the area of the Czech Republic is not very significant by the surveyed minerals. Distribution of the groups of plots according to the results of PCA is more meaningful (compare a description of the deposition zones on the basis of Pinus sylvestris L. needle analysis by Dmuchowski and Bytnerowicz, 1994). Relations between the element concentrations and three first axes of principal component analysis are visible in Tables 3 to 6.

The following regularities were observed:

There is a similarity between transport Ca2+, Cd2+ and Zn2+ across cellular membrane (Rybová, Janáček, 1987). It would be a reason of the constitution of the element sere Cd-Mn-Zn-Ca.

An extreme high concentration values of Cd and Pb were determined on the basis of compare frequencies of this values with the normal distribution (method of analysis of a normal distribution contaminated with above-average values; see Table 8). With 95% probability, values equal or higher than 0.46 mg.kg-1 (Cd) or 2.16 mg.kg-1 (Pb) determine a significant pollution by these heavy metals. Equivalent analyse was made for sulphur.

There are some critical limits of concentration for many minerals (e.g. Maňkovská, 1995, Table 4), but meaning of these values is not clear very well comparing ones with average values in the samples from large areas (e.g. Na, Mn).

The observed changes in the minerals contents during growing old of needles are similar by the Norway spruce as by other coniferous species (compare situation by Pinus mugo being described by Skuhravý, Brewer, 1992, and Brewer, Skuhravý, Hrubík, 1994, for instance).

Regarding to the other results (Markert, 1992; Markert, Wtorova, 1992), determination of next elements would be necessary for a detail investigation of minerals in Norway spruce needles:

(elements are grouped according to concentration levels in the spruce needles).

The area of Czech Republic is divided into following regions according to the results of PCA:

Four regions with the * mark are potentially very difficult for monitoring of nutrient supply and / or pollution.

Conclusions

The monitoring of pollution by foliar analysis of Norway spruce is necessary to provide using 3rd or 4th needle-year-class. It is necessary the element critical limits to define with more precision. Critical concentration of sulphur is 1770 mg.kg-1, cadmium 0.46 mg.kg-1 and lead 2.16 mg.kg-1.

Principal component analysis is very powerful method for study of a set of element concentrations in needles.

 

References

Aamlid, D., 1993: 7. Needle analyses. Mineral nutrition of Norway spruce needles at permanent research plots of the Norwegian monitoring programme for forest damage. Analyses in 1986 compared to analyses in 1991. In: M.G. Thomsen, Ed., Proceedings from the meeting in the SNS-ad hoc group on monitoring of forest damage, 26.-28.4 1993, Ĺs, Norway. Ĺs p. 54-60.

Brewer, J.W., Skuhravý, V., Hrubík, P., 1994: Levels of major foliar chemicals in needles of Pinus mugo in Bohemian peatbogs. Ekológia (Bratislava), 13: 235-246.

Buchmann, N., Oren, R., Zimmermann, R., 1994: Response of magnesium-deficient samplings in a young open stand of Picea abies (L.)KARST to elevated soil magnesium, nitrogen and carbon. Environmental Pollution, 87: 31-43.

Dmuchowski, W., Bytnerowicz, A., 1994: Monitoring environmental pollution in Poland by chemical analysis of Scots pine (Pinus sylvestris L.) needles. Environmental Pollution, 87: 87-104.

Maňkovská, B., 1995: Mapping of forest environment load by selected elements through the leaf analyses. Ekológia (Bratislava), 14: 205-213.

Markert, B., 1992: Presence and significance of naturally occurring chemical elements of the periodic system in the plant organism and consequences for future investigations on inorganic environmental chemistry in ecosystems. Vegetatio, 103: 1-30.

Markert, B, Wtorova, W., 1992: Inorganic chemical investigations in the Forest Biosphere Reserve near Kalinin, USSR. Vegetatio, 98: 43-58.

Matějka, K., 1993: Monitoring stavu lesů České republiky. Metodický komentář, seznam ploch a některé dosavadní výsledky. VÚLHM Jíloviště-Strnady, Praha, 68 pp.

Matějka, K., 1994: Monitoring of the forest status in the Czech Republic. Recent results and prospects. In: K. Matějka, Ed., Investigation of the forest ecosystems and of forest danage. Praha, p. 146-154.

Matějka, K., 1995: Forest conditions under the air-pollution impact in Europe (Some results of the International Co-operative programme). Colloques Phytosociologiques, 23: 473-485.

Rybová, R., Janáček, K., 1987: Transport processes in the plants. (in Czech) Academia, Praha, 200 pp.

Skuhravý, V., Brewer, J.W., 1992: Heavy metals in needles of mountain and peatbog pines, Pinus mugo subsp. mughus SCOP. and P. mugo subsp. uncinata (ANT.) DOMIN in Bohemian peatbogs. Ekológia (ČSFR), Bratislava, 11: 3-11.

Skuhravý, V., Číhalík, J., Materna, J., Hrubík, P., 1995: Content of 16 heavy metals and other elements in spruce needles (1-4 years old) from 23 sites of the Czech Republic. Ekológia (Bratislava), 14: 323-330.

Stefan, K., 1989: Ergebnisse chemischer Nadelanalysen im untersuchungsgebiet Glein. Mitteilungen Forstl. Bundesversuchsanst. Wien, Vol. 163/2, p. 289-339.

Stefan, K., 1991: Zur Nährelementversorgung der Fichtennadeln von gedüngten und ungedüngten Bäumen in Gleinalmgebiet. Mitteilungen Forstl. Bundesversuchs-anst. Wien, Vol. 163/4, p. 65-140.

 

Table 1. Median values of the mineral element content in the Picea abies needles of various needle year classes (Czech Republic, 1991, young stands near the ICP-Forests monitoring plots) and limit values (optimal concentrations) of main nutrients according to Stefan (1991). Critical limits for other metals (Na to Cr) correspond to Maňkovská (1995). A compare with average values determined by Skuhravý et al. (1995) (23 plots in the Czech Republic; 1st and 4th needle-year-classes) and by Maňkovská (1995) (112 monitoring plots in Slovakia) has been provided.

year-class:

1

2

3

4

limit value

Skuhravý et al. (1995)

1st NYC

Skuhravý et al. (1995)

4th NYC

Maňkovská (1995)

N 1)

15.50

14.00

16.25

15.20

13.1-15.0

 

 

 

P 1)

1.72

1.37

1.63

1.26

1.2-1.3

 

 

 

K 1)

7.21

5.60

7.18

6.04

3.4-4.2

13.12

11.06

 

Ca 1)

4.50

5.60

4.68

6.00

1.1-3.6

5.24

8.13

 

Mg 1)

1.000

0.777

0.932

0.760

0.8-1.1

1.50

1.48

 

 

 

 

 

 

 

 

 

 

Na 2)

120

129

101

120

30

114

189

 

Al 2)

110

135

89.5

101

100

139

177

 

Fe 2)

65

79

66.5

80

100

34

49

121

Mn 2)

795

1005

1110

1480

100

1022

1302

773

Zn 2)

34.3

33.0

30.2

25.5

50

40.3

47.6

102.

Cu 2)

3.64

2.80

3.60

2.70

10

6.73

8.18

9.21

Pb 2)

0.86

1.16

1.20

1.60

6

1.67

2.77

4.66

Cd 2)

0.20

0.19

0.25

0.17

0.5

0.27

2.29

1.51

Cr 2)

0.5

0.5

0.6

0.5

0.2

 

 

1.45

1) mg.g-1 2) mg.kg-1

 

Table 2. The first four eigenvalues of correlation matrix among elements used by principal component analysis. Equivalent values were computed for four needle year classes.

year-class:

1

2

3

4

number of samples

243

219

98

89

λ

0.298

0.258

0.319

0.266

λ2

0.181

0.175

0.194

0.220

λ3

0.110

0.116

0.152

0.130

λ4

0.095

0.107

0.096

0.121

 

Table 3. Averages and standard deviations of the element content in the spruce needles of 1st-year-class by samples divided into groups according to the results of PCA. r is correlation between element content and a PCA axis score. The sum of r-quadrates for first one to three PCA aces corresponds to a meaning of the element among other elements. All data are in mg.kg-1 except for nitrogen (mg.g-1).

PCA 1

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

24

20,3

1584

7701

6548

1126

184,8

218,4

242,7

2400

40,0

4,91

3,32

0,40

1,03

(-50;0]

88

17,1

1810

7411

5572

1099

110,5

122,1

97,6

1364

50,2

4,21

1,44

0,41

0,66

1269

(42)

(0;+50]

66

16,4

1740

8053

5163

1189

132,9

151,3

72,2

664

61,2

3,85

1,06

0,20

0,45

1366

(39)

(+50;+∞)

65

13,3

1744

6809

4615

1012

222,1

156,0

52,7

238

38,1

3,39

1,28

0,23

0,16

1194

(53)

correlation

r

243

-0,524

0,080

-0,107

-0,138

-0,048

0,138

-0,064

-0,448

-0,778

0,007

-0,339

-0,276

-0,093

-0,724

-0,060

(137)

st.deviation

(-∞;-50]

3,5

239

2441

2084

472

84,6

218,5

243,8

970

17,3

1,74

2,57

0,24

0,43

(-50;0]

3,5

361

1847

4672

435

45,1

71,5

105,0

574

54,3

1,48

1,18

1,47

0,30

396

(0;+50]

3,8

473

2461

3710

783

90,6

115,8

30,3

367

72,4

1,47

2,00

0,14

0,24

582

(+50;+∞)

2,3

346

1326

2361

180

362,3

92,8

16,2

145

20,1

0,58

2,57

0,12

0,15

284

PCA 2

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

14

13,8

1885

6650

4307

1032

104,5

115,4

57,6

1101

114,8

3,25

0,30

0,14

0,59

1218

(14)

(-50;0]

92

15,7

1856

7436

4860

965

102,0

124,9

68,0

1091

56,2

3,60

0,64

0,20

0,53

1255

(59)

(0;+50]

104

16,2

1705

7386

5032

1084

165,0

143,0

78,2

877

36,1

3,90

1,41

0,40

0,45

1216

(51)

(+50;+∞)

33

18,6

1547

8053

7805

1578

283,7

246,4

224,7

905

41,0

5,48

4,53

0,33

0,56

1295

(13)

correlation

r

243

0,238

-0,269

0,119

0,221

0,303

0,381

0,339

0,411

-0,123

-0,251

0,402

0,666

0,055

-0,017

0,180

(137)

st.deviation

(-∞;-50]

1,8

383

2335

1997

197

67,7

44,9

10,9

429

115,2

0,54

0,22

0,10

0,36

449

(-50;0]

3,4

365

1709

4482

242

47,6

97,5

33,6

799

61,6

1,13

0,35

0,13

0,30

358

(0;+50]

3,8

368

1672

2504

499

91,9

98,1

46,2

865

17,4

1,00

0,88

1,35

0,37

354

(+50;+∞)

4,8

394

3268

4155

861

490,7

168,3

255,3

851

15,6

2,19

4,22

0,22

0,51

718

PCA 3

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

25

18,2

1812

9316

7349

1630

153,2

241,8

194,6

1183

70,0

4,91

1,89

0,08

0,59

497

(14)

(-50;0]

96

16,6

1814

7617

5267

1114

143,4

176,2

96,3

867

61,8

4,18

1,31

0,17

0,55

702

(57)

(0;+50]

115

15,4

1699

6941

4859

985

165,9

110,0

69,6

994

34,2

3,57

1,48

0,32

0,45

538

(62)

(+50;+∞)

7

17,0

1529

6962

5737

997

97,6

71,7

71,4

1405

38,5

4,00

2,17

2,55

0,47

423

(3)

correlation

r

243

-0,201

-0,174

-0,296

-0,218

-0,344

-0,010

-0,431

-0,273

0,012

-0,278

-0,330

-0,003

0,374

-0,146

-0,189

(137)

st.deviation

(-∞;-50]

4,8

492

2985

4057

900

71,3

193,5

239,1

954

57,3

2,15

3,35

0,08

0,36

587

(-50;0]

4,2

374

2010

4891

528

100,0

120,6

110,7

747

72,6

1,54

1,67

0,09

0,44

664

(0;+50]

3,1

361

1499

2131

291

276,5

57,7

42,7

843

12,5

0,81

2,08

0,16

0,30

792

(+50;+∞)

4,9

322

1653

1346

151

46,6

26,3

29,5

768

8,7

1,39

1,38

4,68

0,34

599

Sum r2

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

1

0,275

0,006

0,011

0,019

0,002

0,019

0,004

0,201

0,605

0,000

0,115

0,076

0,009

0,524

0,004

2

0,331

0,079

0,026

0,068

0,094

0,164

0,119

0,370

0,620

0,063

0,277

0,520

0,012

0,524

0,036

3

0,372

0,109

0,113

0,115

0,212

0,164

0,305

0,444

0,621

0,140

0,385

0,520

0,152

0,546

0,072

 

Table 4. Averages and standard deviations of the element content in the spruce needles of 2nd-year-class by samples divided into groups according to the results of PCA. r is correlation between element content and a PCA axis score. The sum of r-quadrates for first one to three PCA aces corresponds to a meaning of the element among other elements. All data are in mg.kg-1 except for nitrogen (mg.g-1).

PCA 1

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

18

15,7

1254

5560

8034

745

160,6

104,4

85,1

2956

28,4

2,78

1,19

0,26

0,89

1315

(5)

(-50;0]

95

15,6

1387

6064

6612

868

129,9

152,1

111,5

1861

54,2

3,93

1,58

0,29

0,68

1319

(41)

(0;+50]

51

14,5

1395

5961

5503

1107

124,7

232,5

89,4

697

49,4

10,67

2,01

0,17

0,51

1317

(29)

(+50;+∞)

54

11,3

1404

5537

5176

859

250,6

226,0

75,3

355

42,8

3,27

2,97

0,26

0,18

1170

(45)

correlation

r

219

-0,518

0,083

-0,166

-0,370

0,031

0,182

0,201

-0,208

-0,757

0,012

0,038

0,274

-0,009

-0,616

-0,186

(120)

st.deviation

(-∞;-50]

5,0

160

1115

2964

243

73,6

40,8

27,1

1290

11,5

1,02

1,24

0,19

0,42

424

(-50;0]

2,6

281

1163

2432

966

67,7

135,1

58,9

868

62,4

10,88

1,28

0,55

0,37

466

(0;+50]

3,0

279

1430

2318

1542

64,7

388,4

41,6

434

49,0

55,77

2,85

0,11

0,24

403

(+50;+∞)

2,3

228

1055

1914

221

390,3

197,9

59,9

263

12,6

0,68

5,82

0,14

0,15

227

PCA 2

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

30

16,2

1315

5935

6455

706

284,2

137,2

135,6

1768

35,9

3,47

6,75

0,39

0,68

1168

(6)

(-50;0]

81

15,2

1347

5971

5851

769

174,6

164,0

96,9

1396

34,4

7,93

1,81

0,31

0,53

1186

(33)

(0;+50]

82

12,9

1417

5784

5815

817

123,9

185,1

85,0

1008

51,3

4,21

0,93

0,19

0,49

1297

(59)

(+50;+∞)

26

13,3

1461

5718

7447

1890

98,0

309,2

74,4

1397

95,2

2,21

0,44

0,13

0,48

1312

(22)

correlation

r

219

-0,377

0,178

-0,092

0,074

0,269

-0,227

0,180

-0,359

-0,173

0,351

-0,069

-0,551

-0,202

-0,169

0

(120)

st.deviation

(-∞;-50]

3,3

239

1049

2421

230

510,6

88,3

83,2

1084

21,7

0,95

7,36

0,23

0,42

168

(-50;0]

3,6

227

1102

2305

223

82,3

123,4

45,7

1206

26,7

44,40

0,88

0,58

0,32

319

(0;+50]

2,6

279

1397

2227

229

86,6

174,6

52,1

1010

51,1

11,68

0,44

0,11

0,44

428

(+50;+∞)

3,3

303

1155

3266

2617

46,9

539,6

20,8

633

76,2

0,62

0,31

0,09

0,22

356

PCA 3

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

19

15,8

1348

6312

5362

714

143,7

127,0

105,6

1000

22,0

3,16

2,67

0,05

0,80

1040

(4)

(-50;0]

78

14,3

1386

5847

5173

1080

137,8

155,5

90,0

1188

31,0

2,80

2,12

0,16

0,51

1291

(44)

(0;+50]

114

13,9

1378

5839

6652

842

156,5

208,1

96,5

1361

60,8

7,42

1,81

0,28

0,50

1269

(68)

(+50;+∞)

8

15,6

1505

5376

9297

721

507,3

293,8

99,6

2282

95,9

3,03

1,79

1,21

0,58

1063

(4)

correlation

r

219

-0,083

0,064

-0,142

0,361

0,000

0,131

0,143

-0,003

0,174

0,354

0,044

-0,045

0,541

-0,185

-0

(120)

st.deviation

(-∞;-50]

2,8

227

1338

2354

199

52,4

42,7

28,7

906

15,1

1,19

3,16

0,03

0,68

128

(-50;0]

3,3

262

1296

2163

1620

83,3

111,4

41,9

973

23,0

0,89

3,04

0,06

0,35

452

(0;+50]

3,5

263

1154

2377

234

92,6

294,4

67,1

1103

56,2

38,70

3,74

0,14

0,32

339

(+50;+∞)

2,7

315

845

2371

341

945,2

329,8

33,5

1697

68,4

0,67

1,41

1,61

0,33

233

Sum r2

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

1

0,268

0,007

0,028

0,137

0,000

0,033

0,040

0,043

0,573

0,000

0,001

0,075

0,000

0,379

0,035

2

0,410

0,039

0,036

0,142

0,073

0,085

0,073

0,172

0,603

0,123

0,006

0,379

0,041

0,408

0,052

3

0,417

0,043

0,056

0,273

0,073

0,102

0,093

0,172

0,633

0,249

0,008

0,381

0,334

0,442

0,052

 

Table 5. Averages and standard deviations of the element content in the spruce needles of 3rd-year-class by samples divided into groups according to the results of PCA. r is correlation between element content and a PCA axis score. The sum of r-quadrates for first one to three PCA aces corresponds to a meaning of the element among other elements. All data are in mg.kg-1 except for nitrogen (mg.g-1).

PCA 1

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

19

14,9

1843

6694

4052

1045

73,9

82,4

52,9

874

33,4

3,38

0,43

0,18

0,45

1001

(13)

(-50;0]

24

16,7

1700

8088

5524

1790

99,3

76,7

65,5

1006

33,0

3,55

1,13

0,26

0,50

1351

(13)

(0;+50]

43

18,0

1609

7408

5238

1198

125,6

103,0

89,7

1610

30,4

4,25

2,05

0,30

0,95

(+50;+∞)

12

18,9

1548

7333

6050

1036

179,2

259,2

460,4

1629

40,0

4,82

4,13

0,46

1,37

correlation

r

98

0,405

-0,347

0,065

0,297

-0,028

0,583

0,584

0,623

0,358

0,060

0,330

0,659

0,305

0,465

0,374

(26)

st.deviation

(-∞;-50]

1,7

363

1666

1393

477

33,4

31,0

20,1

419

11,6

0,68

0,38

0,15

0,16

275

(-50;0]

3,6

365

1934

2619

4111

48,6

20,5

19,5

594

12,9

1,29

0,63

0,14

0,19

565

(0;+50]

2,7

323

1846

2063

1537

40,5

33,9

36,2

979

10,1

1,85

1,57

0,20

0,87

(+50;+∞)

3,5

250

679

2933

351

78,5

241,5

470,8

1055

12,4

1,07

2,12

0,29

0,95

PCA 2

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

4

15,9

1477,5

7450,0

5375,0

897,5

150,0

87,5

77,0

2198,5

35,7

4,3

1,2

0,8

0,6

(-50;0]

43

16,5

1606,1

7037,7

5663,1

1013,3

116,3

94,6

81,0

1594,7

33,5

3,4

1,6

0,4

0,6

1145

(16)

(0;+50]

33

17,7

1786,8

7564,0

5229,1

1918,7

108,2

98,7

115,6

1190,3

34,7

4,3

1,6

0,2

0,9

1226

(12)

(+50;+∞)

18

18,3

1646,1

8100,0

3877,8

904,4

120,6

181,8

241,9

714,9

27,1

4,6

2,6

0,0

1,1

correlation

r

98

0,167

0,038

0,160

-0,299

0,025

0,000

0,212

0,193

-0,456

-0,214

0,167

0,273

-0,725

0,164

0,036

(28)

st.deviation

(-∞;-50]

0,6

110,3

934,1

1631,5

227,1

29,2

16,4

40,5

672,3

19,0

1,3

0,5

0,3

0,0

(-50;0]

3,0

292,7

1829,4

2273,2

370,5

62,8

56,0

59,1

1040,0

10,3

0,9

1,3

0,2

0,5

460

(0;+50]

3,6

364,8

1827,4

2524,7

3871,9

50,0

46,9

112,0

598,4

13,0

1,7

1,3

0,0

0,9

475

(+50;+∞)

2,7

405,0

1537,0

1489,4

198,8

53,7

206,9

435,2

452,5

8,4

2,1

2,7

0,0

0,9

PCA 3

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

4

16,2

1590

7525

4800

967

100,0

84,7

54,9

1290

18,3

3,11

5,16

0,30

0,50

(-50;0]

37

16,6

1604

7315

4731

945

112,2

80,9

72,0

1221

28,0

3,54

2,18

0,29

0,49

1321

(9)

(0;+50]

45

17,0

1658

7269

5062

981

113,7

113,7

136,4

1358

35,4

3,80

1,36

0,31

0,82

1037

(14)

(+50;+∞)

12

20,0

1935

8330

7110

3648

139,5

208,1

245,0

1503

42,8

6,29

0,84

0,21

1,73

1326

(5)

correlation

r

98

0,251

0,318

0,127

0,279

0,322

0,152

0,436

0,365

0,097

0,454

0,512

-0,443

-0,102

0,519

-0,087

(28)

st.deviation

(-∞;-50]

1,7

595

2063

2025

108

47,4

8,5

6,0

868

6,3

0,34

2,97

0,25

0,12

(-50;0]

2,3

277

1439

1758

170

34,8

19,4

33,8

825

7,7

0,95

1,29

0,20

0,19

561

(0;+50]

3,2

333

1700

2125

384

61,5

88,8

205,6

963

11,1

0,88

1,56

0,23

0,49

260

(+50;+∞)

4,2

362

2586

3373

6039

82,8

217,9

415,7

738

14,7

2,72

0,93

0,11

1,52

598

Sum r2

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

1

0,164

0,120

0,004

0,088

0,000

0,340

0,341

0,388

0,128

0,004

0,109

0,434

0,093

0,216

0,140

2

0,192

0,122

0,030

0,178

0,001

0,340

0,386

0,425

0,336

0,049

0,137

0,509

0,619

0,243

0,141

3

0,255

0,223

0,046

0,255

0,105

0,363

0,576

0,559

0,346

0,256

0,399

0,705

0,629

0,512

0,149

 

Table 6. Averages and standard deviations of the element content in the spruce needles of 4th-year-class by samples divided into groups according to the results of PCA. r is correlation between element content and a PCA axis score. The sum of r-quadrates for first one to three PCA aces corresponds to a meaning of the element among other elements. All data are in mg.kg-1 except for nitrogen (mg.g-1).

PCA 1

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

9

15,2

1404,9

5565,0

5896,0

932,0

113,3

118,4

90,9

876,8

21,2

2,5

1,1

0,0

0,6

1262,5

(4)

(-50;0]

36

15,3

1353,1

6436,1

6255,6

777,7

111,4

95,2

81,7

1434,4

26,2

3,5

1,5

0,2

0,5

1212

(14)

(0;+50]

28

17,2

1266,3

6279,2

6046,5

775,2

151,7

109,3

122,1

2070,6

28,6

3,4

3,3

0,2

0,7

1085

(3)

(+50;+∞)

16

17,1

1161,7

6192,4

7614,4

762,1

193,3

167,4

277,8

2521,9

58,3

3,4

3,9

0,5

1,0

(1)

correlation

r

0,336

-0,284

0,059

0,186

-0,089

0,547

0,428

0,615

0,438

0,305

0,080

0,288

0,693

0,505

-0,151

st.deviation

(-∞;-50]

2,1

318,7

1199,6

2561,8

250,6

52,1

42,2

41,1

492,0

5,5

0,4

1,3

0,0

0,3

(-50;0]

2,1

303,2

1488,6

2290,7

231,6

54,3

32,1

30,5

1073,9

12,7

4,7

0,9

0,0

0,3

(0;+50]

2,1

251,8

1353,7

2341,2

384,6

47,4

37,0

49,7

1191,8

15,0

1,8

5,2

0,1

0,2

(+50;+∞)

3,3

142,1

688,4

1781,3

144,0

45,3

97,6

225,8

1074,5

67,6

0,9

4,2

0,2

0,4

PCA 2

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

6

15,4

1368,7

5497,2

8517,3

755,5

123,5

101,7

66,2

2395,3

74,7

2,1

0,7

0,3

0,4

1315

(4)

(-50;0]

38

15,4

1278,2

6065,5

7330,5

862,6

145,1

93,3

98,5

2124,8

34,2

3,7

1,4

0,3

0,6

1238

(13)

(0;+50]

27

16,5

1335,9

6385,4

5545,7

763,2

127,3

126,5

148,3

1524,0

23,9

2,9

2,0

0,2

0,7

1001

(5)

(+50;+∞)

18

17,8

1252,8

6711,1

5000,0

686,8

148,9

147,8

193,4

1199,7

26,4

3,5

5,8

0,1

0,9

correlation

r

0,322

-0,119

0,255

-0,476

-0,193

0,009

0,348

0,322

-0,372

-0,239

0,064

0,518

-0,454

0,416

-0,264

st.deviation

(-∞;-50]

2,7

103,4

1577,6

2199,7

240,1

58,5

29,5

8,7

1761,7

105,6

0,4

0,6

0,1

0,2

(-50;0]

2,2

317,0

1412,8

2525,6

344,6

73,2

34,4

54,2

1219,1

18,3

4,8

0,8

0,2

0,3

(0;+50]

2,5

230,9

1082,0

1671,8

237,5

39,1

70,8

137,5

774,7

8,3

0,8

1,0

0,1

0,3

(+50;+∞)

2,4

280,7

1196,2

1071,3

144,4

45,8

64,7

185,1

1022,9

15,4

1,0

6,9

0,0

0,4

PCA 3

n

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

n

average

(-∞;-50]

8

17,4

1217,3

6275,0

6300,0

628,4

161,3

130,0

116,0

3661,8

20,6

2,7

1,5

0,1

0,9

(-50;0]

36

16,4

1259,0

6204,9

6364,0

753,4

147,9

106,9

102,8

2243,3

23,8

3,5

2,3

0,2

0,7

1348

(5)

(0;+50]

36

16,3

1337,7

6433,8

6263,8

848,4

135,9

129,2

172,7

1147,5

34,4

3,5

3,1

0,3

0,7

1086

(10)

(+50;+∞)

9

14,1

1353,7

5720,8

7155,1

843,6

96,0

76,7

86,4

721,7

67,7

2,7

1,5

0,3

0,3

1252

(7)

correlation

r

-0,317

0,204

-0,009

0,045

0,187

-0,254

-0,110

0,041

-0,727

0,325

-0,066

0,128

0,258

-0,299

-0,122

st.deviation

(-∞;-50]

1,8

170,2

1299,8

1905,3

138,2

29,3

35,0

59,2

1181,8

8,0

0,8

1,0

0,0

0,4

(-50;0]

2,4

261,3

1301,1

2629,3

206,5

53,9

48,8

99,8

1000,3

11,8

4,7

3,1

0,2

0,3

(0;+50]

2,6

317,1

1235,8

2159,9

347,4

68,0

69,5

156,1

649,3

16,8

1,8

4,6

0,2

0,4

(+50;+∞)

2,0

200,1

1630,0

1842,3

286,3

33,0

30,8

29,8

453,6

87,1

0,7

0,8

0,1

0,2

Sum r2

N

P

K

Ca

Mg

Na

Al

Fe

Mn

Zn

Cu

Pb

Cd

Cr

S

1

0,113

0,081

0,003

0,035

0,008

0,299

0,183

0,378

0,192

0,093

0,006

0,083

0,480

0,255

0,023

2

0,217

0,095

0,069

0,261

0,045

0,299

0,304

0,482

0,330

0,150

0,010

0,351

0,686

0,428

0,092

3

0,317

0,136

0,069

0,263

0,080

0,364

0,316

0,484

0,859

0,256

0,015

0,368

0,753

0,517

0,107

 

Table 7. The most important elements for correlation structure expressed on the basis of correlation of each element with the three first ordination axes (values are sums r12+r22+r32). Four series represent four needle year classes.

1

 

2

 

3

 

4

 

Mn

.621

Mn

.633

Pb

.705

Mn

.859

Cr

.546

Cr

.442

Cd

.629

Cd

.753

Pb

.520

N

.417

Al

.576

Cr

.517

Fe

.444

Pb

.381

Fe

.559

Fe

.484

Cu

.385

Cr

.334

Cr

.512

Pb

.368

N

.372

 

 

Cu

.399

Na

.364

Al

.305

 

 

Na

.363

N

.317

 

 

 

 

Mn

.346

Al

.316

 

Table 8. An analyse of the higher concentrations of Cd, Pb and S in the Norway spruce needles of 1st year-class. Sets of values 1 (not contaminated) and 2 (contaminated) were distinguished using method of analysis of a normal distribution contaminated with above-average values. All values are in mg.kg-1.

 

 

Cd

Pb

S

set 1

average

0.26

1.19

1268

 

st. deviation

0.12

0.59

301.0

set 2

average

1.16

4.69

2189

 

st. deviation

2.57

3.65

485.1

limit value

 

0.46

2.16

1770

median

 

0.20

0.86

1210

% higher values

 

10.0

16.2

12.1

 

Fig. 1. Ordination of minerals contained in 1st needle-year-class.

 

Fig. 2. Ordination of minerals contained in 2nd needle-year-class.

 

Fig. 3. Ordination of minerals contained in 3rd needle-year-class.

 

Fig. 4. Ordination of minerals contained in 4th needle-year-class.

 

Bioindikace stavu výživy a znečistění prostředí na základě listové analýzy

Pozornost byla věnována vyhodnocení výsledků listové analýzy vzorků jehlicí smrku (Picea abies). Odebrány byly vzorky 1. až 4. ročníku v roce 1991 na území České republiky. Základní výsledky jsou uvedeny v tabulkách. Zvláštní pozornost byla věnována porovnání vzájemných vztahů jednotlivých minerálních elementů v různých ročnících jehličí. Dokázán byl rozdílný charakter jejich obsahu v 1. a 2. ročníku, oproti 3. a 4. ročníku.


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