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.
2006
Volume 9
Issue 4
Topic:
Forestry
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Durło G. 2006. MULTIANNUAL VARIATION OF THE EFFECTIVE SUNSHINE DURATION IN THE BESKID SADECKI MOUNTAINS, EJPAU 9(4), #28.
Available Online: http://www.ejpau.media.pl/volume9/issue4/art-28.html

MULTIANNUAL VARIATION OF THE EFFECTIVE SUNSHINE DURATION IN THE BESKID SADECKI MOUNTAINS

Grzegorz Durło
Chair of Forest Protection and Forest Climatology, University of Agriculture in Cracow, Poland

 

ABSTRACT

A long-term variation of effective sunshine duration in the Beskid Sadecki Mountains during 1971–2005 is presented. It is based on measurement and observation data from six meteorological stations situated in this area, and representing the convex and concave terrain forms, situated at height 300–1100 m above sea level. The long-term mean annual sum of the effective sunshine duration was 1861 hours with deviation of 203 hours, which made 44% of the potential insolation in this part of the Carpathians. The highest long-term mean monthly sum of the effective sunshine duration in the Beskid Sadecki mountain range falls on August, amounting to 225 hours, and the lowest falls on December – 70 hours. General solar qualities of the Beskid Sadecki belong to very favorable ones. The comparison of results of this study with results of studies carried out during 1950–1970 indicated a visible improvement of solar conditions, especially in spring, i.e. April and May. On the basis of the forecast of the actual insolation in the Beskid Sadecki made on the basis of data for the period 1971–2005 no conclusion about a directional change of this element may be made with a required accuracy.

Key words: actual insolation, trend, Beskid Sadecki Mts.

INTRODUCTION

The long-term measurements series of the effective sunshine duration for the Polish Carpathians are rare. Very sporadic networks of actinometric stations in southern Poland, and a lack of synchronous measurement series, hinder a detailed elaboration of this element for a larger area [6,7,9,12]. On the other hand, the interest in solar energy in connection with observed and forecasted climatic changes in Europe becomes larger and larger. Apart from the obvious role played by the direct solar radiation in life of plants and man, there are possibilities of its utilization for the energetic purposes, alternatively to exploitation of natural resources. The increase of insolation, observed in last years, justifies the undertaking of research on the climatic potential of the Beskids in the aspect of utilization of solar energy in agriculture and forestry [9,16].

The aim of this study was to determine the variation of the effective sunshine duration in the Beskid Sadecki Mts. on the basis of the long-term measurements and observations conducted at meteorological stations situated in this area.

MATERIALS AND METHODS

The material for this study consisted of results of measurements of the effective sunshine duration gathered at the meteorological station of the Institute of Meteorology and Water Management in Nowy Sacz, as well as results of observations on the cloud cover carried out by the meteorological station of the Jaworzyna Krynicka, Muszyna, Piwniczna, Krynica Zdrój and phytoclimatological station of Agricultural University of Cracow, situated in Mochnaczka Wyżna. Detailed data concerning the location of these stations are in table 1.

Table 1. The characterisation of meteorological station localization in Beskid Sadecki Mts. region

Station

Altitude a.s.l.

Latitude

Longitude

Landform

Nowy Sacz

293

49° 27’

20° 42’

concave

Jaworzyna Krynicka

1113

49° 41’

20° 89’

convex

Muszyna

445

49° 21‘

20° 53‘

concave

Piwniczna

379

49° 26‘

20° 42‘

concave

Mochnaczka Wyżna

720

49° 27’

20° 58’

convex

Krynica Zdrój

582

49° 25’

20° 58’

concave

The measurements of the actual insolation were conducted at the station in Nowy Sacz during 1971 – 2005 using the Cambell-Stokes heliograph placed 200 cm above the ground. The observations on the cloud cover were conducted at six stations in III climatological observation times, namely: 6:00, 12:00 and 18:00 (UTC). A long-term variation of the effective sunshine duration in the Beskid Sadecki Mountains, presented in this paper, was calculated on the basis of the 24-hour sums of insolation obtained from the Nowy Sacz meteorological station, and mean 24-hour values of the cloud cover from the six meteorological stations. To calculate the effective sunshine duration on the basis of daily values of the cloud cover the values of coefficients according to Kozmiński and Michalska [10] and formula (1) were used (tab. 2).

     (1)

where: URz – effective sunshine duration; N – cloudiness; UM – maximum potential sunshine duration.

Table 2. The relative sunshine duration for 10 gradual scale of cloudiness [8]

Cloudiness

Relative sunshine duration

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0.945

0.939

0.933

0.927

0.921

0.915

0.908

0.901

0.894

0.887

2

0.880

0.873

0.866

0.859

0.852

0.845

0.837

0.829

0.821

0.813

3

0.805

0.797

0.789

0.781

0.773

0.765

0.756

0.747

0.738

0.729

4

0.720

0.711

0.702

0.693

0.684

0.675

0.665

0.655

0.645

0.635

5

0.625

0.615

0.606

0.595

0.585

0.575

0.564

0.553

0.542

0.531

6

0.520

0.509

0.498

0.487

0.476

0.465

0.453

0.441

0.429

0.417

7

0.405

0.393

0.381

0.369

0.357

0.345

0.332

0.319

0.306

0.293

8

0.280

0.267

0.254

0.241

0.228

0.215

0.201

0.187

0.173

0.159

9

0.114

0.129

0.114

0.099

0.084

0.069

0.051

0.039

0.024

0.008

In order to determine a multiannual variation of heliographic conditions the index values for monthly, seasonal, and annual periods were utilized. For calculated indexes the trends, representing a general direction of changes of insolation during the period 1971 – 2005, were worked out. The trend testing was based on the model of linear regression, using a variant of the classic least squares method 1 MNK. The estimation of quality of the model fitting was accomplished on the basis of the following characteristics:

1. Coefficient of determination R2:

where: R2 – coeficient of determination; n – sample size; yi – value of next observation i of y variable; ŷi – value of regression function for xi,

2. The F statistic, estimate of linear dependence between variables, testing on the basis of hypotheses:

H0: ρ2=0 (lack of linear dependence),

H1: ρ2>0 (linear dependence exist)

where: ρ – coefficient of correlation between x and y variables.

For verification of hypothesis using the FStat statistic:

where: FStatF-Snedecor statistic; n – number of observations; R2 – coeficient of determination.

3. Residual standard deviation:

where: n – sample size; yi y value from sample; ŷi – theoretical value.

4. Ratio of expressiveness w:

where: Se – residual standard deviation; – arithmetic average of y variable.

It was assumed that the dependent variable is predictable when the value of the index of sharpness w assumes the value from the interval 0.01 – 0.09.

To estimate the significance of regression coefficients the values of standard errors of parameter estimators were used. Values of the estimator’s β1 (intersection) and β0 (coefficient of direction) and their errors were determined on the basis of the following formulae:

and

where: x – independent variable (time); y – dependent variable.

where: Se – residua standard deviation; D(β1) and D(β0) – standard errors of model estimators

The significance of model parameters were tested on the basis of the statistics tStat determined by the formulae:

and

where: β1 and β0 – model estimators; D(β1 ) and D(β0) – standard errors of model estimators

The statistics has Student’s t-distribution with the df freedom number. Testing of significance of the model parameters was accomplished on the basis of hypotheses:

H0 = β1 = 0 (lack of linear dependence)

H1 = β1 0 (linear dependence exist),

and

H0 = β0 = 0 (lack of linear dependence)

H1 = β0 0 (linear dependence exist),

The calculated value was compared with the critical value determined from Student’s distribution of the assumed level of significance α = 0.05, and the number of degrees of freedom equal to df. A zero hypothesis was rejected if tα<tStat (p<α), thus accepting correctness of the hypothesis H1.

The last estimation of quality of the model fitting was the determination of confidence intervals for estimator’s β1 and β0, and comparison of results obtained with values of lower and upper limits of intervals. Confidence intervals were determined according to the following formulae:

and

where: β1 and β0 – model estimators, t(α, n-2) – first order quartile 1- α/2 from Student’s distribution for n-2 freedom number; D(β1) and D(β0) – standard errors of model estimators

Besides the estimation of development tendencies the decomposition of time series was made on the basis of mean monthly sums of the effective sunshine duration from the period 1971 – 2005, using the Winter’s additive model, taking into account linear trends, seasonal components, and a random component. The estimation of fitting of the model exponential smoothing was based on the mean percent absolute error expressed by the formula:

where: xt – value of time series in t moment; Pt – calculate forecast in t moment; n – number of elements in time series.

Calculations of basic statistical measures, estimation of significance of regression models, and the procedure Census 1 for time series were made in the program STATISTICA 7.1 PL [15].

RESULTS

The long-term mean annual sum of the actual insolation in the Beskid Sadecki was 1861 hours with deviation of 203 hours. August and December were the months with the highest and the lowest mean sum of insolation hours: 225 hours with deviation of 44 hours, and 70 hours with deviation of 26 hours respectively (tab. 3). The lowest monthly sum of the actual insolation occurred in December 1988, amounting to only 23 hours, while the highest one occurred in August 2003 – 318 hours, which made 71.5% of the maximum potential insolation. March, May, and June were characterized by the greatest values of the mean deviations, while November and December by the smallest ones (Fig. 1). The mean sum of the effective sunshine duration in individual seasons was also quite variable (tab. 4). During the summer season it was twice as great as in autumn. The sum of the effective sunshine duration in summer was 613 hours with deviation of 86 hours. The greatest seasonal sum of the effective sunshine duration occurred in spring 2000 amounting to 831 hours, at the seasonal average of 588 hours. This is 40% more than the average in this part of the year. Also the sunshine amplitudes indicated a great diversification of this element within individual seasons. In spring they amounted to over 400 hours, in summer and winter 340 hours, while in autumn a little above 200 hours (tab. 4). Proportion of the effective sunshine duration in autumn in respect of the annual sum was 16.4%, and it was the lowest among all seasons (Fig. 2). Autumn is also the season during which the deviation and amplitude were reaching the smallest values (tab. 4). The long-term mean sum of the effective sunshine duration during the growing season was 1349 hours, which made 45% of the maximum potential sunshine. The highest sum of the effective sunshine duration during the growing season occurred in 2000, amounting to 1615 hours (tab. 4). During 35 years only in two cases, i.e. in 1978 and 1980, the annual sum of the effective sunshine duration was lower than 1000 hours, coming close to 30% of the potential astronomic insolation.

Table 3. Climatologically indexes of effective sunshine duration and its statistical coefficients in years 1971-2005 in Beskid Sadecki Mountains

Month

tmax

tmin

σ

σx

me

zt

vx

January

187

45

95.5

29.9

5.06

95

142

31

February

166

39

104.5

28.6

4.8

108

127

28

March

292

100

156.1

46.5

7.9

146

192

30

April

238

116

164

36.8

6.2

162

123

22

May

312

118

215.4

49.0

8.3

219

194

312

June

306

104

208.8

50.8

8.6

207

202

306

July

312

121

216.8

52.3

8.8

209

191

24

August

318

132

225.3

44.2

7.5

224

186

20

September

252

78

169.4

44.1

7.6

177

174

26

October

221

84

148.0

39.4

6.7

146

137

27

November

136

23

86.6

26.8

4.5

85

113

31

December

143

23

70.3

26.0

4.4

64

120

37

Year

2199

1433

1861.6

202.9

34.3

1849

766

11

where: tmax – highest monthly sum of effective sunshine duration in years 1971-2005; tmin – lowest monthly sum of effective sunshine duration in years 1971-2005; – multiannual average of effective sunshine duration sum; σ – standard deviation; σx – standard error; me – median; zt – range; vx – differentiation coefficient (%)..

Table 4. Climatologically indexes of effective sunshine duration and its statistical coefficients of seasons in years 1971-2005 in Beskid Sadecki Mountains

Month

tmax

tmin

σ

σx

me

zt

vx

Spring

831

414

588.2

99.8

16.9

580.0

417

31

Summer

799

456

613.4

86.4

14.6

605.0

344

14

Autumn

425

218

304.9

54.9

9.3

297.2

207

18

Winter

567

237

355.1

71.2

12.0

346.5

330

31

MOW

1615

983

1349.6

170.9

28.9

1362.1

632

13

where: tmax – highest monthly average of effective sunshine duration in years 1971-2005; tmin – lowest monthly average effective sunshine duration in years 1971-2005; – multiannual average of effective sunshine duration; σ – standard deviation; σx – standard error; me – median; zt – range; vx – differentiation coefficient (%); MOW – meteorological vegetation period.

Figure 1. The long-term monthly mean sum of the effective sunshine duration in the Beskid Sadecki with standard deviations

Figure 2. The annual sum of the effective sunshine duration in the Beskid Sadecki Mountains

During the period investigated, 1997 was the most sunny year, when the total time of a direct solar radiation was 2199 hours. The least sunny year was 1980, when the actual insolation was 1433 hours (Fig. 2).

Within individual altitudinal climatic zones, in which measuring posts were located (tab. 5), the effective sunshine duration was considerably diversified. The lowest sunshine values occurred at the bottoms of valleys oriented meridionally and on slopes of the northern and northwestern exposures at the height of 300 – 600 m above sea level. In these areas the annual sum of effective sunshine duration was 1600 hours (tab. 5). Considerably better conditions prevailed in the Poprad River Valley which have a more favorable orientation (1700 hours), and on sites situated between 600 and 800 m where annual sums reached 1880 hours. The best solar conditions prevailed on ridges and mountain summits, where the annual sum of the effective sunshine duration was over 2000 hours (tab. 5).

Table 5. The multiannual average of effective sunshine duration in consequence months in Beskid Sadecki Mts. according to altitude localization

Altitude
a.s.l

Month

I

II

III

IV

V

VI

VII

VIII

IX

X

XI

XII

300-600

71

84

131

150

186

189

193

196

166

125

70

49

601-800

102

105

155

165

219

208

221

228

168

153

86

74

801-1100

112

119

176

179

227

229

236

250

183

165

101

89

Characteristics of linear trends, calculated on the basis of data from the period 1971 – 2005, indicated a significant increasing trend of the effective sunshine duration in January, but a low value of the sharpness index indicated that forecasting on the basis of the development equation is uncertain (tab. 6). In the remaining cases (months and seasons) the trend equations yielded results statistically insignificant (tab. 6, 7). A general annual trend of the effective sunshine duration in the Beskid Sadecki Mountains is positive, but statistically insignificant. The analysis of time series carried out using the Census 1 method, and based on the centered moving averages indicated a positive increasing trend of the effective sunshine duration in the Beskid Sadecki, but its statistical estimation is insignificant (Fig. 3).

Table 6. Results of regression analysis (trend line) for effective sunshine duration in years 1971-2005, Beskid Sadecki Mountains

Month

β1

β0

D(β1)

D(β1)

R2

Se

Fstat

df

w

SSR

SSE

January*

-1.340

119.606

0.452

9.338

0.210

27.033

8.778

33

0.28

6414.85

24116.14

February

0.062

102.402

0.486

10.040

0.000

29.064

0.016

33

0.28

13.66

27876.48

March

-1.126

176.379

0.765

15.792

0.062

45.715

2.166

33

0.29

4526.72

68966.52

April

1.124

143.676

0.592

12.221

0.098

35.378

3.606

33

0.22

4512.66

41302.44

May

1.548

187.571

0.788

16.274

0.105

47.110

3.856

33

0.22

8558.49

73238.81

June

0.826

194.015

0.851

17.563

0.028

50.844

0.941

33

0.24

2433.03

85307.05

July

0.373

210.095

0.887

18.305

0.005

52.992

0.176

33

0.24

495.57

92667.45

August

0.595

214.581

0.744

15.365

0.019

44.479

0.640

33

0.20

1265.60

65287.25

September

0.197

167.708

0.761

15.703

0.002

45.457

0.067

33

0.27

138.65

68188.65

October

0.418

140.480

0.666

13.747

0.012

39.796

0.393

33

0.27

623.07

52262.47

November

0.267

81.825

0.452

9.335

0.010

27.022

0.348

33

0.31

253.75

24096.98

December

-0.007

70.403

0.442

9.125

0.000

26.415

0.000

33

0.38

0.20

23026.65

Year

2.936

1808.742

3.409

70.369

0.022

203.708

0.741

33

0.11

30763.58

1369403.77

where: β1 – parameter estimator (intersection); β0 – parameter estimator (directional coefficient); D(β1) – standard error of parameter β1;
D(β0) – standard terror of parameter β0; R2 – determination coefficient; Se – residue standard error (error of estimation); Fstat – value of F statistic (qualify of linear ); df – degrees of freedom; w – ratio of expressiveness; SSR – regression sum of squares; SSE – error sum of squares;
* – significance on level p=0.01.

Table 7. Results of regression analysis (trend line) for effective sunshine duration in years 1971-2005, Beskid Sadecki Mountains

Month

β1

β0

D(β1)

D(β1)

R2

Se

Fstat

df

w

SSR

SSE

Spring

3.498

525.263

1.583

32.677

0.129

94.595

4.882

33.000

0.16

43686.94

295293.97

Summer

1.165

592.384

1.454

30.017

0.019

86.896

0.642

33.000

0.14

4845.78

249180.71

Autumn

0.677

292.708

0.925

19.099

0.016

55.290

0.535

33.000

0.18

1636.00

100880.27

Winter

-2.405

398.388

1.135

23.420

0.120

67.798

4.491

33.000

0.19

20643.34

151685.61

MOW

5.081

1258.12

2.765

57.075

0.093

165.225

3.376

33.000

0.12

92165.22

900881.65

where: β1 – parameter estimator (intersection); β0 – parameter estimator (directional coefficient); D(β1) – standard error of parameter β1; D(β0) – standard terror of parameter β0; R2 – determination coefficient; Se – residue standard error (error of estimation);
Fstat – value of F statistic (qualify of linear ); df – degrees of freedom; w – ratio of expressiveness; SSR – regression sum of squares; SSE – error sum of squares;
* – significance on level p=0,01.

Figure 3. Results of regression analysis (trend line) for effective sunshine duration in seasons, in years 1971-2005, Beskid Sadecki Mountains

A 10-year forecast for the period 2006 – 2015, made using the Winter’s method, on the basis of a 35-year series of data, showed a growing trend. However, the additive Winter’s model, along with a linear trend and seasonal as well as random fluctuations, did not fit to empirical data with a required accuracy. The mean absolute error was 28%, and this indicated a low accuracy of the forecast.

DISCUSSION

The effective sunshine duration in the investigated area is characterized by a high variation in respect of time and space. This character results in the first place from a strong relationship between the duration of a direct solar radiation and the cloud cover as well as the orographic conditions [3]. In temperate warm climatic zone including areas situated on slopes, and on mountain ridges the diversification of insolation in individual months was reaching as much as even 50 hours. This fact has great weight to plant community formation, growth and evolution [5,13,14].

The annual sum of insolation varied from about 1600 hours at the bottoms of valleys to over 2000 hours on summits. The largest difference was appear when the bottoms of valleys are oriented meridionally.

General solar qualities of the Beskid Sadecki Mountains belong to very favorable ones. The comparison of results of this study with results of studies carried out during 1950 – 1970 indicated a visible improvement of solar conditions, especially in spring, i.e. April and May [1,2,4]. High annual sums of insolation in 2000 and 2003 affected the value of the coefficient of direction of the long-term trend. However, they do not provide the basis for conclusion about a steady insolation tendency in this part of the Beskids.

CONCLUSIONS

  1. The highest long-term mean monthly sum of the effective sunshine duration in the Beskid Sadecki mountain range falls on August, amounting to 225 hours, and the lowest falls on December – 70 hours.

  2. The highest sums of insolation occurred on summits and mountain ridges in temperate cool climatic zone, and they reached 2070 hours.

  3. In comparison with measurement series of insolation for the period 1950 – 1979 an improvement of solar conditions may be observed, especially in the temperate warm climatic zone at 600 – 800 m in elevation.

  4. On the basis of the forecast of the effective sunshine duration in the Beskid Sadecki Mountains made on the basis of data for the period 1971 – 2005 no conclusion about a directional change of this element may be made with a required accuracy.


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  13. Obrębska-Starklowa B., 1969: Stosunki mikroklimatyczne na pograniczu pięter leœnych i pól uprawnych w Gorcach. [Microclimatic conditions on the border of forest belts and arable land in the Gorce Mts.]. Prac. Geogr. 23: 1-145. [in Polish].

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  15. StatSoft, Inc., 2004: STATISTICA (data analysis software system), version 7.1 www.statsoft.com.

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Accepted for print: 22.11.2006


Grzegorz Durło
Chair of Forest Protection and Forest Climatology,
University of Agriculture in Cracow, Poland
29 Listopada Av., No. 46, 31-425 Cracow, Poland
Phone: +48126625142
email: rldurlo@cyf-kr.edu.pl

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