APPENDIX 1. LAND USE CALCULATIONS
Present land use
In respect to forests, cropland, pasture and “other land”, the figures for existing land use in Europe are based on FAO Production Yearbooks for 1991 and 1993. Inland waterways have been included under “other land”. Present nature conservation areas are the sum of the first four (I-IV) of the five categories listed in the United Nations List of National Parks and Protected Areas and subtracted from “other land”. They are rough approximations because area definitions differ radically from each other, likewise the figures given in different sources. The built area has also been subtracted from “other land” and has been estimated on the basis of the last two columns in the table and the present population. The figures in the last column in Table 1 are based on those contained in the Atlas of Agglomerations in the European Union.
The tables in the appendices were checked before publication of the American edition of the book in spring 2000. Since the original book was written the figures for land use and population in Europe have only changed by a couple of percentage points. Such small changes have had no effect on the picture of present-day land usage or population density. For this reason Table 1 remains in its original form. As regards Tables 2 B 12 , which describe the future, planned situation, these continue to support the theoretical values chosen as suitable and also partly the values prevailing at the time when the book was originally written in 1996. These should not change.
The figures for land use in Europe given in Table 1 are based on the above mentioned sources.
TABLE 1: AGGLOMERATIONS OF ACTUAL AREAS
|
GROUP OF COUNTRIES |
Population |
Cropland |
Forest |
Conservation |
Built area |
Pasture land |
Other land |
TOTAL |
|
million inhabitants |
1000 km2 |
1000 km2 |
1000 km2 |
1000 km2 |
1000 km2 |
1000 km2 |
1000 km2 |
|
|
ALB+BUL+GRE+YOG |
46.3 |
157.9 |
164.3 |
10.2 |
43.3 |
128.1 |
23.6 |
527.5 |
|
AUS+HUN+ROM |
40.9 |
164.4 |
116.1 |
15.5 |
40.9 |
68.6 |
9.0 |
414.4 |
|
CZE+POL |
54.1 |
197.3 |
133.9 |
5.6 |
37.9 |
55.2 |
10.8 |
440.6 |
|
DEN+GER |
85.9 |
144.6 |
108.6 |
14.7 |
61.7 |
54.5 |
15.9 |
400.0 |
|
BELU+NET |
25.7 |
17.1 |
10.5 |
3.9 |
18.0 |
17.2 |
3.7 |
70.4 |
|
FIN+SWE+NOR |
18.1 |
61.6 |
595.7 |
105.0 |
27.1 |
7.9 |
314.6 |
1112.0 |
|
BLT |
8.0 |
58.2 |
67.2 |
7.4 |
8.0 |
16.2 |
17.8 |
174.8 |
|
FRA |
57.7 |
192.5 |
148.7 |
5.9 |
57.7 |
111.0 |
35.7 |
551.5 |
|
IRE+UK |
61.7 |
75.1 |
27.5 |
3.8 |
44.2 |
158.0 |
6.5 |
315.2 |
|
POR+SPA |
48.9 |
231.2 |
192.2 |
20.1 |
48.9 |
99.0 |
5.8 |
597.2 |
|
ITA+SWI |
64.8 |
124.4 |
80.2 |
9.5 |
45.3 |
59.9 |
23.2 |
342.6 |
|
Total |
512.1 |
1424.2 |
1644.9 |
201.6 |
433.0 |
775.6 |
466.6 |
4946.0 |
|
% of total area |
28.8 |
33.3 |
4.1 |
8.8 |
15.7 |
9.4 |
100.0 |
The plan
The book also presents a plan for land use based on numerous assumptions relating to food consumption, harvests, amount of solar radiation, etc. The bases for these assumptions are all approximations and concern quantities that vary from country to country, and from year to year. A precise and accurate land use plan would require the labour of dozens of people for years on end. My purpose has only been to list the factors that must be taken into consideration when planning land use. Furthermore, my figures are not estimates of the future, but indications of the direction in which we should strive.
There are two plans. The results are given as Alternatives 1 and 2. The first is based on the following assumptions and calculations.
Alternative 1
1) Population
The assumption contained in the ideal situation is that in no country will the population be higher than at present (1993 population statistics). It is thought that the population density in Great Britain and Germany will decline to 200 inhabitants per square kilometre, and the population of Holland and Belgium will decline by 20 per cent.
2) Food production
Under Finnish conditions, 0.267 hectares are required to product a daily intake of 1057 kilocalories of animal-based foods if the cereal yield is 3355 kilos per hectare. This gives the following ratio: if the harvest of 3500 kilos per hectare, so 0.242 hectares of land are required to produce 1000 kilocalories of animal-based food per day. This ratio has been used in all calculations.
Under Finnish conditions, 0.048 hectares are required to product a daily intake of 1484 kilocalories of plant-based foods if the cereal yield is 3355 kilos per hectare. This gives the following ratio: if the harvest of 3500 kilos per hectare, so 0.031 hectares of land are required to produce 1000 kilocalories of plant-based food per day. This ratio has also been used in all calculations.
The average animal and plant-based calories, cereal harvests and population of each country determines the amount of land required. The above mentioned ratios can be more clearly specified.
In the ideal situation countries have been classified in the following way on the basis of variations in their diets:
1) High animal-food consumption countries 1400 kilocalories per person per day
2) Average animal-food consumption countries 1200 kilocalories per person per day
3) Low animal-food consumption countries 1000 kilocalories per person per day
1) High plant-food consumption countries 2200 kilocalories per person per day
2) Average plant-food consumption countries 1900 kilocalories per person per day
3) Low plant-food consumption countries 1600 kilocalories per person per day
Table 2 shows the assumptions made for each country in respect to food from animal and plant sources.
(Reference source: Food Consumption Statistics 1976-1985. OECD 1985)
Cereal harvests in countries vary regionally and annually. This is why the production of cereals in different countries has been idealised on the basis of present levels and anticipated developments:
1) Excess cereal production countries 7000 kilos per hectare per annum
2) High cereal production countries 5500 kilos per hectare per annum
3) Average cereal production countries 4000 kilos per hectare per annum
4) Low cereal production countries 2500 kilos per hectare per annum
(Reference source: FAO Yearbook of Production, 1991 and 1993)
3) Paper and sawn timber production
Europeans use 184.4 million cubic metres of various types of sawn timber each year, which means felling 252.6 million cubic metres of wood, ie, 0.51 cubic metres per person per annum. The utility function is 75 %. The former figure has been rounded off to 0.50 cubic metres per person per annum.
When paper is made mechanically, 0.4 tonnes of fibre are obtained from 1 cubic metre of timber, and from this 0.5 tonnes of paper or 0.7 tonnes of art paper. If pulp is produced chemically, 0.2 tonnes of cellulose are obtained from 1 cubic metre of timber, and from this 0.25 tonnes of paper or 0.35 tonnes of art paper. These figures have been obtained from the Finnish forest industry. The European average is 0.26 tonnes of cellulose from 1 cubic metre of timber. On the basis of the above the ideal ratio of 0.33 tonnes of paper per cubic metre of timber is obtained.
Assumptions for the ideal paper consumption in each country:
1) High paper consumption countries 133 kilos per person per annum
2) Average paper consumption countries 100 kilos per person per annum
3) Low paper consumption countries 67 kilos per person per annum
Let us assume that 50 per cent of paper is recycled in all countries.
The consumption of timber is then as follows:
1) High paper consumption countries 0.20 cubic metres per person per annum
2) Average paper consumption countries 0.15 cubic metres per person per annum
3) Low paper consumption countries 0.10 cubic metres per person per annum
In addition all countries use 0.50 cubic metres per person per annum of sawn timber.
Let us assume that the ideal net growth of forests is as follows:
1) High net growth countries 6.5 cubic metres per hectare per annum
2) Average net groth countries 4.0 cubic metres per hectare per annum
3) Low net growth countries 1.5 cubic metres per hectare per annum
The correspondence of the above figures to present ones is that in nearly all countries, where the net annual growth is assumed to be 6.5 cubic metres per hectare, it has in fact been higher in recent years. In those countries, where the net annual growth is assumed to be 4.0 or 1.5 cubic metres per hectare, it has been at these levels. A further assumption is that only two-thirds of net growth is used in all countries, with the corollary that the remaining third is left in the forests.
In respect to paper consumption, the correspondence of the above figures to present ones is that in all countries where consumption is estimated at 133 kilos per person per annum, it is at present over 200 kilos per person per annum. In those countries where it is estimated at 67 kilos per person per annum, it is actually under this figure. For other countries it has been rounded off to 100 kilos per person per annum. There is thus an all-round reduction in the consumption of paper. This is based on the assumption that electronic communications will reduce and ultimately diminish the need for paper.
Table 2 shows the assumptions made in the calculations in respect to each country.
TABLE 2: ASSUMPTIONS RELATING TO FOOD, PAPER AND SAWN TIMBER PRODUCTION, ALTERNATIVE ENERGY GENERATION AND BUILT AREA
|
FOOD |
WOOD CONSUMPTION |
ALTERNATIVE ENERGY GENERATION |
|
ANIMAL BASED FOOD CONSUMP- TION |
PLANT-BASED FOOD CONSUMP-TION |
CEREAL CROP |
PAPER CONSUMP-TION |
SAWN TIMBER CONSUMP-TION |
NET GROWTH IN FORESTS |
SOLAR PANELS + WIND TURBINES |
THERMAL HEATING |
ENERGY FOREST ELEC-TRICITY |
ENERGY FOREST HEATING |
BUILT AREA |
|
|
kcal / person/ day |
kcal / person / day |
kg/ha /an |
m3 / person / an |
m3 / person / an |
m3 / hectare / an |
TJ/ km2 |
TJ/ km2 |
TJ/ km2 |
TJ/ km2 |
m2 / person |
|
|
ALB |
1000 |
1900 |
4000 |
0.10 |
0.50 |
1.50 |
279 |
54 |
0.0 |
30.5 |
1000 |
|
AUS |
1400 |
1900 |
5500 |
0.15 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
1000 |
|
BELU |
1400 |
1900 |
7000 |
0.20 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.5 |
700 |
|
BUL |
1000 |
1900 |
4000 |
0.10 |
0.50 |
4.00 |
279 |
54 |
0.0 |
30.5 |
1000 |
|
CZE |
1000 |
2200 |
5500 |
0.10 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.5 |
700 |
|
DEN |
1400 |
1900 |
7000 |
0.20 |
0.50 |
6.50 |
189 |
54 |
7.1 |
20.3 |
1000 |
|
FIN |
1200 |
1600 |
4000 |
0.20 |
0.50 |
4.00 |
189 |
54 |
7.1 |
20.3 |
1500 |
|
BLT |
1200 |
1600 |
4000 |
0.10 |
0.50 |
4.00 |
189 |
54 |
7.1 |
20.3 |
1000 |
|
FRA |
1400 |
1600 |
5500 |
0.15 |
0.50 |
4.00 |
225 |
54 |
0.0 |
24.4 |
1000 |
|
GER |
1400 |
1900 |
5500 |
0.20 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
700 |
|
GRE |
1000 |
1900 |
2500 |
0.10 |
0.50 |
1.50 |
279 |
54 |
0.0 |
30.5 |
700 |
|
HUN |
1000 |
2200 |
4000 |
0.10 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
1000 |
|
IRE |
1400 |
2200 |
7000 |
0.15 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
1000 |
|
ITA |
1000 |
2200 |
4000 |
0.15 |
0.50 |
4.00 |
279 |
54 |
0.0 |
30.5 |
700 |
|
NET |
1400 |
1900 |
7000 |
0.20 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
700 |
|
NOR |
1000 |
1600 |
4000 |
0.15 |
0.50 |
4.00 |
189 |
54 |
7.1 |
20.3 |
1500 |
|
POL |
1000 |
1900 |
4000 |
0.10 |
0.50 |
4.00 |
225 |
54 |
0.0 |
24.4 |
700 |
|
POR |
1000 |
2200 |
2500 |
0.10 |
0.50 |
4.00 |
279 |
54 |
0.0 |
30.5 |
1000 |
|
ROM |
1000 |
1900 |
2500 |
0.10 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
1000 |
|
SPA |
1000 |
2200 |
2500 |
0.15 |
0.50 |
4.00 |
279 |
54 |
0.0 |
30.5 |
1000 |
|
SWE |
1200 |
1900 |
5500 |
0.20 |
0.50 |
4.00 |
189 |
54 |
7.1 |
20.3 |
1500 |
|
SWI |
1400 |
1600 |
5500 |
0.20 |
0.50 |
6.50 |
225 |
54 |
0.0 |
24.4 |
700 |
|
UK |
1200 |
1900 |
7000 |
0.20 |
0.50 |
4.00 |
225 |
54 |
0.0 |
24.4 |
700 |
|
YOG |
1000 |
2200 |
2500 |
0.10 |
0.50 |
4.00 |
279 |
54 |
0.0 |
30.5 |
1000 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
4) Energy generation
The starting point in calculating the ideal values is the per capita quantity of solid and liquid fuels in different countries, as well as the total consumption. In those countries where total consumption is under 100 gigajoules per person per annum, the ideal is just this figure. The consumption of petroleum and coal has also been taken into consideration. These countries are Albania, Bulgaria, Greece, Portugal, Romania and the former Yugoslavia. Countries where the overall consumption is more than 200 gigajoules per person per annum, the ideal value has been reduced to this figure. These countries are Norway, Sweden, Finland, Belgium and Holland. The reduction has been taken from petroleum and coal. With the remaining countries, consumption per person remains at its present level. After the change, the consumption of oil and coal is replaced by new forms of energy.
After this countries have been divided as follows according to the amount of solar radiation:
Low radiation countries 50 kWh per square metre per annum of electricity
Average radiation countries 50 kWh per square metre per annum of electricity
High radiation countries 50 kWh per square metre per annum of electricity
Wind power has been assumed to produce 7.5 kWh per square metre per annum of electricity.
Thermal pipes are assumed to produce 15 kWh per square metre per annum of heat but lose 5 kWh per square metre per annum of electricity.
The values used have been converted into terajoules per square kilometre per annum.
Low radiation countries 189 TJ/km2/a of electricity, 54 TJ/km2/a of heat
Average radiation countries 225 TJ/km2/a of electricity, 54 TJ/km2/a of heat
High radiation countries 279 TJ/km2/a of electricity, 54 TJ/km2/a of heat
It is assumed that the output of energy forests in the different radiation areas is: 7.5 – 6.0 – 5.0 tons of energy per hectare per annum.
Converted into terajoules per square kilometre per annum, the output of energy forests is as follows:
Low radiation countries 30.5 TJ/km2/a of heat or 10.7 TJ/km2/a of electricity
Average radiation countries 24.4 TJ/km2/a of heat or 8.5 TJ/km2/a of electricity
High radiation countries 20.3 TJ/km2/a of heat or 7.1 TJ/km2/a of electricity
Countries have been divided into high, average and low radiation countries in accordance with Table 2.
5) Nature conservation areas
The nature conservation area as a percentage of the total area has been obtained by allocating 10 per cent for this purpose in all countries except the sparsely populated Nordic countries where it is 20 per cent.
6) Built area
Defining the built area is rather arbitrary. For a through-going analysis I would suggest reading the three-volume Atlas of Agglomerations in the European Union. This specifies 330 dwelling areas in the EU with at least 100 000 inhabitants. A special built-up area is defined as one where the buildings are a maximum of 200 metres from each other. These statistics provide a picture of the density of settlement in different countries and regions. Thus the most dense town areas are those with about 20 000 inhabitants per square kilometre (50 square metres per person). However, in wider areas, as for example Greater Munich, which has an area of 310 square kilometres, 1.2 people are living. This density offers an average area of 260 square metres per person. Generally speaking, the density of population in large areas varies from 600 to 1 500 inhabitants per square kilometre. A more accurate figure is difficult to find as a large number of people live quite densely, but dispersed areas drop the average considerably.
On the basis of the above, it is assumed that in the Nordic countries, with the exception of Denmark, the built area is 1 500 metres per person. The average assumed area is 1 000 metres per person, and 700 metres per person in the most densely populated countries. The assumptions for each country are contained in Table 2. This area includes all building. The same figures have been used in calculating the present and planned areas.
TABLE 3: AGGLOMERATIONS OF PLANNED AREAS
Alternative 1
|
LAND GROUP |
Population |
Cropland |
Forest |
Conservation |
Built area |
Energy forests |
Solar panels |
Other |
TOTAL |
|
million inhabitants |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
|
|
ALB+BUL+GRE+YOG |
46.3 |
178.9 |
183.0 |
52.7 |
43.3 |
13.0 |
10.2 |
46.4 |
527.5 |
|
AUS+HUN+ROM |
40.9 |
143.4 |
78.2 |
41.4 |
40.9 |
6.7 |
7.8 |
95.9 |
414.4 |
|
CZE+POL |
54.1 |
132.1 |
108.2 |
44.1 |
37.9 |
0.0 |
18.8 |
99.5 |
440.6 |
|
DEN+GER |
76.6 |
195.3 |
46.8 |
40.0 |
55.2 |
0.0 |
30.2 |
32.5 |
400.0 |
|
BELU+NET |
20.6 |
36.7 |
1.2 |
7.0 |
14.4 |
0.0 |
3.3 |
7.8 |
70.4 |
|
FIN+SWE+NOR |
18.1 |
45.5 |
301.3 |
222.4 |
27.1 |
12.8 |
5.0 |
497.9 |
1112.0 |
|
BLT |
8.0 |
23.7 |
18.0 |
17.5 |
8.0 |
3.6 |
1.9 |
102.1 |
174.8 |
|
FRA |
57.7 |
142.5 |
195.6 |
55.2 |
57.7 |
11.5 |
13.4 |
75.7 |
551.5 |
|
IRE+UK |
52.5 |
92.8 |
71.1 |
31.5 |
37.8 |
0.0 |
16.2 |
65.7 |
315.2 |
|
POR+SPA |
48.9 |
212.6 |
117.5 |
59.7 |
48.9 |
13.2 |
10.3 |
135.0 |
597.2 |
|
ITA+SWI |
64.8 |
174.1 |
37.1 |
34.3 |
45.3 |
0.0 |
14.9 |
36.8 |
342.6 |
|
Total |
488.5 |
1377.6 |
1157.8 |
605,8 |
416,5 |
60,9 |
132,1 |
1195,3 |
4946 |
|
% of total area |
27,9 |
23,4 |
12,2 |
8,4 |
1,2 |
2,7 |
24,2 |
100 |
Conclusion
When the areas calculated in the above way are agglomerated, there is not enough land in certain countries. My aim, however, is for self-sufficiency for the continent and its various regions. This is not possible unless population and consumption in the densely settled areas is considerably reduced. For humane and political reasons, this cannot happen overnight. It is more important to aim at self-sufficiency in food and energy production. This has been achieved with the exception of Holland and Belgium which will be partly fed by Denmark. Self-sufficiency in forests cannot be achieved. Large areas of the Nordic and certain other countries will be reserved to satisfy the needs of the highly populated countries of central Europe. This is the way the figures for land use have been reached in Table 3 which follows the division of countries in the plan.
7) “Other land”
“Other land” is what remains after the above mentioned idealistic agglomerations. It should be at least as large as the difference between the real overall area and the land area. When the sum of the idealistic surface areas is greater than the relevant country’s land area, then the forest area is subtracted. The effect of forest output has been taken into consideration in surface area transfers. The largest increases in forest areas are in the Nordic countries.
TABLE 4: AGGLOMERATIONS OF PLANNED AREAS
Alternative 2
|
LAND GROUP |
Population |
Cropland |
Forest |
Conservation |
Built area |
Energy forests |
Solar panels |
Other |
TOTAL |
|
million inhabitants |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
|
|
ALB+BUL+GRE+YOG |
46.3 |
225.2 |
176.9 |
52.7 |
43.3 |
13.0 |
10.2 |
6.1 |
527.5 |
|
AUS+HUN+ROM |
40.9 |
172.1 |
136.3 |
41.4 |
40.9 |
6.7 |
7.8 |
9.0 |
414.4 |
|
CZE+POL |
54.1 |
132.1 |
196.9 |
44.1 |
37.9 |
0.0 |
18.8 |
10.8 |
440.6 |
|
DEN+GER |
76.6 |
228.6 |
37.7 |
40.0 |
55.2 |
0.0 |
30.2 |
8.3 |
400.0 |
|
BELU+NET |
20.6 |
41.9 |
0.0 |
7.0 |
14.4 |
0.0 |
3.3 |
3.7 |
70.4 |
|
FIN+SWE+NOR |
18.1 |
45.5 |
513.1 |
222.4 |
27.1 |
12.8 |
5.0 |
286.0 |
1112.0 |
|
BLT |
8.0 |
23.7 |
117.5 |
17.5 |
8.0 |
3.6 |
1.9 |
2.5 |
174.8 |
|
FRA |
57.7 |
171.0 |
241.3 |
55.2 |
57.7 |
11.5 |
13.4 |
1.4 |
551.5 |
|
IRE+UK |
52.5 |
139.2 |
85.8 |
31.5 |
37.8 |
0.0 |
16.2 |
4.7 |
315.2 |
|
POR+SPA |
48.9 |
283.4 |
175.8 |
59.7 |
48.9 |
13.2 |
10.3 |
5.8 |
597.2 |
|
ITA+SWI |
64.8 |
208.9 |
30.1 |
34.3 |
45.3 |
0.0 |
14.9 |
9.0 |
342.6 |
|
Total |
488.5 |
1671,8 |
1711,5 |
605,8 |
416,5 |
60,9 |
132,1 |
347,4 |
4946 |
|
% of total area |
33,8 |
34,6 |
12,2 |
8,4 |
1,2 |
2,7 |
7 |
100 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
The plan, Alternative 2
In the second alternative plan it has been thought that the relation of pasture to cropland is the same as at present, and that the yield of the former is half that of the latter. The total area devoted to agriculture would then rise to 1 672 000 square kilometres. If this is compared to the existing total of pasture and cropland of 2 200 000 square kilometres, the difference is still significant. This is partly explained by the figure 0.95 x 0.90 / 1.05 = 0.81 which comes from the effect of a smaller population, healthier diets and increased yields. If the present area is multiplied by this multiplier, a figure of 1 782 000 square kilometres is obtained. The difference between this and the plan is now only 6 per cent. The difference points to other exceptional assumptions, such as the difference between imports and exports and the real value of pasture output.
In regard to paper and wood consumption, it is thought to increase the figures in Alternative I by 50 per cent. Paper consumption would then vary from 100 to 200 kilos per person per annum and sawn timber 0.75 cubic metres per capita per annum. These figures are closer to today’s realities. On the basis of the assumptions made the area under forest would rise to 1 712 000 square kilometres, which is 4 per cent higher than now.
In this alternative, there is an all-round decline in “other land”, except in the Nordic countries. Alternative 2 is illustrated in Table 4 and Figure 10.
Sources:
[1] Atlas of Agglomorations in the European Union. N.U.R.E.C. (Network on Urban Research in the European Union), Duisburg 1994. (rakennettu maa)
[2] FAO Production Yearbook 1993 ja 1991 (vдestц, maankдyttц)
[3] IUCN: United Nations List of National Parks and Protected Areas (luonnonsuojelualueet)
[4] Energy Statistics Yearbook 1992. (energian kulutus)
[5] Food Consumption Statistics 1976-1985, OECD, 1985. (viljan kulutus)
[6] 1997 FAO Production Yearbook , 1998. (vдestц, maankдyttц)
[7] Energy Statistics Yearbook 1995, United Nations, New York, 1997. (energian kulutus)
Calculations for Tables 1-4
TABLE 5. ALTERNATIVE 1: EUROPE’S PRESENT AND IDEAL POPULATION. BUILT AREA BASED ON IDEAL POPULATION
|
COUNTRY |
AREA |
PRESENT POPULATION |
IDEAL POPULATION |
BUILT AREA |
|
1000 square kilometres |
million people |
population / square kilometre |
population / square kilometre |
million people |
square metres / person |
1000 square kilometres |
|
|
ALB |
29 |
3.4 |
117 |
117 |
3.4 |
1000 |
3.4 |
|
AUS |
84 |
7.9 |
94 |
94 |
7.9 |
1000 |
7.9 |
|
BELU |
33 |
10.5 |
316 |
253 |
8.4 |
700 |
5.9 |
|
BUL |
111 |
9.0 |
81 |
81 |
9.0 |
1000 |
9.0 |
|
CZE |
128 |
15.6 |
122 |
122 |
15.6 |
700 |
11.0 |
|
DEN |
43 |
5.2 |
120 |
120 |
5.2 |
1000 |
5.2 |
|
FIN |
338 |
5.1 |
15 |
15 |
5.1 |
1500 |
7.6 |
|
BLT |
175 |
8.0 |
46 |
46 |
8.0 |
1000 |
8.0 |
|
FRA |
552 |
57.7 |
105 |
105 |
57.7 |
1000 |
57.7 |
|
GER |
357 |
80.7 |
226 |
200 |
71.4 |
700 |
50.0 |
|
GRE |
132 |
10.2 |
78 |
78 |
10.2 |
700 |
7.2 |
|
HUN |
93 |
10.3 |
111 |
111 |
10.3 |
1000 |
10.3 |
|
IRE |
70 |
3.6 |
51 |
51 |
3.6 |
1000 |
3.6 |
|
ITA |
301 |
57.9 |
192 |
192 |
57.9 |
700 |
40.5 |
|
NET |
37 |
15.3 |
410 |
328 |
12.2 |
700 |
8.6 |
|
NOR |
324 |
4.3 |
13 |
13 |
4.3 |
1500 |
6.5 |
|
POL |
313 |
38.5 |
123 |
123 |
38.5 |
700 |
26.9 |
|
POR |
92 |
9.8 |
106 |
106 |
9.8 |
1000 |
9.8 |
|
ROM |
238 |
22.7 |
95 |
95 |
22.7 |
1000 |
22.7 |
|
SPA |
505 |
39.1 |
78 |
78 |
39.1 |
1000 |
39.1 |
|
SWE |
450 |
8.7 |
19 |
19 |
8.7 |
1500 |
13.1 |
|
SWI |
41 |
6.9 |
167 |
167 |
6.9 |
700 |
4.8 |
|
UK |
245 |
58.1 |
237 |
200 |
49.0 |
700 |
34.3 |
|
YOG |
256 |
23.8 |
93 |
93 |
23.8 |
1000 |
23.8 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 6. ALTERNATIVE 1: EUROPE’S IDEAL POPULATION AND FOOD PRODUCTION
|
COUNTRY |
POPULATION |
CONSUMPTION |
CEREAL CROP |
REQUIRED PRODUCTION SECTORS |
CORREC-TION TO CROP-LAND |
ADJUSTED CROP-LAND AREA |
|
ANIMAL-BASED FOODS |
PLANT-BASED FOODS |
ANIMAL-BASED FOODS |
PLANT-BASED FOODS |
TOTAL |
||||||
|
million people |
kcal / person /day |
kcal / person / day |
kilos /hectare |
hectares / person |
hectares / person |
hectares / person |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
|
|
ALB |
3.4 |
1000 |
1900 |
4000 |
0.212 |
0.052 |
0.263 |
8.9 |
0.0 |
8.9 |
|
AUS |
7.9 |
1400 |
1900 |
5500 |
0.216 |
0.037 |
0.253 |
20.0 |
0.0 |
20.0 |
|
BELU |
8.4 |
1400 |
1900 |
7000 |
0.169 |
0.029 |
0.199 |
16.6 |
0.0 |
16.0 |
|
BUL |
9.0 |
1000 |
1900 |
4000 |
0.212 |
0.052 |
0.263 |
23.6 |
0.0 |
23.6 |
|
CZE |
15.6 |
1000 |
2200 |
5500 |
0.154 |
0.043 |
0.197 |
30.9 |
0.0 |
30.9 |
|
DEN |
5.2 |
1400 |
1900 |
7000 |
0.169 |
0.029 |
0.199 |
10.3 |
4.3 |
14.6 |
|
FIN |
5.1 |
1200 |
1600 |
4000 |
0.254 |
0.043 |
0.298 |
15.1 |
0.0 |
15.1 |
|
BLT |
8.0 |
1200 |
1600 |
4000 |
0.254 |
0.043 |
0.298 |
23.8 |
0.0 |
23.8 |
|
FRA |
57.7 |
1400 |
1600 |
5500 |
0.216 |
0.032 |
0.247 |
142.5 |
0.0 |
142.5 |
|
GER |
71.4 |
1400 |
1900 |
5500 |
0.216 |
0.037 |
0.253 |
180.7 |
0.0 |
180.7 |
|
GRE |
10.2 |
1000 |
1900 |
2500 |
0.339 |
0.082 |
0.421 |
43.1 |
0.0 |
43.1 |
|
HUN |
10.3 |
1000 |
2200 |
4000 |
0.212 |
0.060 |
0.271 |
27.9 |
0.0 |
27.9 |
|
IRE |
3.6 |
1400 |
2200 |
7000 |
0.169 |
0.034 |
0.204 |
7.2 |
0.0 |
7.2 |
|
ITA |
57.9 |
1000 |
2200 |
4000 |
0.212 |
0.060 |
0.271 |
157.0 |
0.0 |
157.0 |
|
NET |
12.2 |
1400 |
1900 |
7000 |
0.169 |
0.029 |
0.199 |
24.3 |
-4.3 |
20.0 |
|
NOR |
4.3 |
1000 |
1600 |
4000 |
0.212 |
0.043 |
0.255 |
11.0 |
0.0 |
11.0 |
|
POL |
38.5 |
1000 |
1900 |
4000 |
0.212 |
0.052 |
0.263 |
101.3 |
0.0 |
101.3 |
|
POR |
9.8 |
1000 |
2200 |
2500 |
0.339 |
0.095 |
0.434 |
42.6 |
0.0 |
42.6 |
|
ROM |
22.7 |
1000 |
1900 |
2500 |
0.339 |
0.082 |
0.421 |
95.5 |
0.0 |
95.5 |
|
SPA |
39.1 |
1000 |
2200 |
2500 |
0.339 |
0.095 |
0.434 |
170.0 |
0.0 |
170.0 |
|
SWE |
8.7 |
1200 |
1900 |
5500 |
0.185 |
0.037 |
0.222 |
19.4 |
0.0 |
19.4 |
|
SWI |
6.9 |
1400 |
1600 |
5500 |
0.216 |
0.032 |
0.247 |
17.1 |
0.0 |
17.1 |
|
UK |
49.0 |
1200 |
1900 |
7000 |
0.145 |
0.029 |
0.175 |
85.5 |
0.0 |
85.5 |
|
YOG |
23.8 |
1000 |
2200 |
2500 |
0.339 |
0.095 |
0.434 |
103.3 |
0.0 |
103.3 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 7. ALTERNATIVE 1: EUROPE’S IDEAL POPULATION AND FOREST INDUSTRY
|
COUNTRY |
POPULA-TION |
PAPER CONSUMP-TION |
SAWN TIMBER CONSUMP-TION |
NET FOREST GROWTH |
AREA FOR PAPER |
AREA FOR SAWN TIMBER |
AREA FOR FOREST |
CORREC-TION TO FOREST AREA |
ADJUSTED FOREST AREA |
|
|
million people |
cubic metres / person / an |
cubic metres /person /an |
cubic metres /hectare |
hectare/ cap |
hectare/ cap |
hectare/ cap |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
|
|
ALB |
3.4 |
0.10 |
0.50 |
1.50 |
0.100 |
0.500 |
0.600 |
20.2 |
10.0 |
30.2 |
|
AUS |
7.9 |
0.15 |
0.50 |
6.50 |
0.035 |
0.115 |
0.150 |
11.8 |
0.0 |
11.8 |
|
BELU |
8.4 |
0.20 |
0.50 |
6.50 |
0.046 |
0.115 |
0.162 |
13.5 |
-13.0 |
0.5 |
|
BUL |
9.0 |
0.10 |
0.50 |
4.00 |
0.038 |
0.188 |
0.225 |
20.1 |
10.0 |
30.1 |
|
CZE |
15.6 |
0.10 |
0.50 |
6.50 |
0.023 |
0.115 |
0.138 |
21.7 |
0.0 |
21.7 |
|
DEN |
5.2 |
0.20 |
0.50 |
6.50 |
0.046 |
0.115 |
0.162 |
8.4 |
0.0 |
8.4 |
|
FIN |
5.1 |
0.20 |
0.50 |
4.00 |
0.075 |
0.188 |
0.263 |
13.3 |
100.0 |
113.3 |
|
BLT |
8.0 |
0.10 |
0.50 |
4.00 |
0.038 |
0.188 |
0.225 |
18.0 |
0.0 |
18.0 |
|
FRA |
57.7 |
0.15 |
0.50 |
4.00 |
0.056 |
0.188 |
0.244 |
140.6 |
55.0 |
195.6 |
|
GER |
71.4 |
0.20 |
0.50 |
6.50 |
0.046 |
0.115 |
0.162 |
115.3 |
-76.9 |
38.4 |
|
GRE |
10.2 |
0.10 |
0.50 |
1.50 |
0.100 |
0.500 |
0.600 |
61.4 |
7.7 |
69.1 |
|
HUN |
10.3 |
0.10 |
0.50 |
6.50 |
0.023 |
0.115 |
0.138 |
14.2 |
10.0 |
24.2 |
|
IRE |
3.6 |
0.15 |
0.50 |
6.50 |
0.035 |
0.115 |
0.150 |
5.3 |
0.0 |
5.3 |
|
ITA |
57.9 |
0.15 |
0.50 |
4.00 |
0.056 |
0.188 |
0.244 |
141.0 |
-110.0 |
31.0 |
|
NET |
12.2 |
0.20 |
0.50 |
6.50 |
0.046 |
0.115 |
0.162 |
19.8 |
-19.1 |
0.7 |
|
NOR |
4.3 |
0.15 |
0.50 |
4.00 |
0.056 |
0.188 |
0.244 |
10.5 |
15.2 |
25.7 |
|
POL |
38.5 |
0.10 |
0.50 |
4.00 |
0.038 |
0.188 |
0.225 |
86.5 |
0.0 |
86.5 |
|
POR |
9.8 |
0.10 |
0.50 |
4.00 |
0.038 |
0.188 |
0.225 |
22.1 |
0.0 |
22.1 |
|
ROM |
22.7 |
0.10 |
0.50 |
6.50 |
0.023 |
0.115 |
0.138 |
31.4 |
10.7 |
42.1 |
|
SPA |
39.1 |
0.15 |
0.50 |
4.00 |
0.056 |
0.188 |
0.244 |
95.4 |
0.0 |
95.4 |
|
SWE |
8.7 |
0.20 |
0.50 |
4.00 |
0.075 |
0.188 |
0.263 |
22.9 |
139.4 |
162.3 |
|
SWI |
6.9 |
0.20 |
0.50 |
6.50 |
0.046 |
0.115 |
0.162 |
11.2 |
-5.1 |
6.1 |
|
UK |
49.0 |
0.20 |
0.50 |
4.00 |
0.075 |
0.188 |
0.263 |
128.6 |
-62.8 |
65.8 |
|
YOG |
23.8 |
0.10 |
0.50 |
4.00 |
0.038 |
0.188 |
0.225 |
53.5 |
0.0 |
53.5 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 8. ALTERNATIVE 1: EUROPE’S PRESENT POPULATION AND ENERGY GENERATION
|
COUNRY |
POPULATION |
AREA |
SOLID & LIQUIDS |
GASES |
PRIMARY ELECTRI-CITY |
TRADI-TIONAL ELEC-TRICITY |
TOTAL |
|||
|
SOLID |
LIQUIDS |
TOTAL |
||||||||
|
million people |
1000 square kilometres |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 terajoules |
gigajoules / person |
|
|
ALB |
34 |
29 |
13 |
23 |
36 |
10 |
10 |
15 |
70 |
21 |
|
AUS |
79 |
84 |
138 |
432 |
570 |
249 |
132 |
27 |
986 |
126 |
|
BELU |
105 |
33 |
421 |
811 |
1232 |
443 |
495 |
5 |
2399 |
229 |
|
BUL |
90 |
111 |
313 |
197 |
510 |
170 |
143 |
16 |
841 |
94 |
|
CZE |
156 |
128 |
1261 |
373 |
1634 |
478 |
263 |
15 |
2390 |
153 |
|
DEN |
52 |
43 |
283 |
315 |
598 |
89 |
17 |
5 |
734 |
137 |
|
FIN |
51 |
338 |
209 |
345 |
554 |
115 |
295 |
29 |
1074 |
198 |
|
BLT |
80 |
175 |
208 |
330 |
538 |
272 |
178 |
41 |
1015 |
127 |
|
FRA |
577 |
552 |
777 |
3316 |
4093 |
1266 |
3752 |
101 |
9365 |
161 |
|
GER |
807 |
357 |
4419 |
5023 |
9442 |
2627 |
1786 |
47 |
14016 |
173 |
|
GRE |
102 |
132 |
336 |
614 |
950 |
6 |
11 |
13 |
1035 |
96 |
|
HUN |
103 |
93 |
215 |
323 |
538 |
325 |
165 |
20 |
1053 |
100 |
|
IRE |
36 |
70 |
138 |
178 |
316 |
88 |
4 |
0 |
410 |
117 |
|
ITA |
579 |
301 |
510 |
3970 |
4480 |
1913 |
416 |
52 |
7020 |
119 |
|
NET |
153 |
37 |
333 |
1208 |
1541 |
1549 |
74 |
3 |
3566 |
209 |
|
NOR |
43 |
324 |
34 |
338 |
372 |
82 |
391 |
10 |
935 |
199 |
|
POL |
385 |
313 |
3092 |
505 |
3597 |
327 |
2 |
34 |
3956 |
103 |
|
POR |
98 |
92 |
120 |
467 |
587 |
0 |
23 |
6 |
627 |
62 |
|
ROM |
227 |
238 |
431 |
477 |
908 |
882 |
57 |
30 |
1919 |
80 |
|
SPA |
391 |
505 |
833 |
1774 |
2607 |
270 |
685 |
19 |
3626 |
92 |
|
SWE |
87 |
450 |
94 |
693 |
787 |
19 |
954 |
123 |
1957 |
218 |
|
SWI |
69 |
41 |
9 |
507 |
516 |
100 |
362 |
8 |
987 |
144 |
|
UK |
581 |
245 |
2489 |
3395 |
5884 |
2336 |
944 |
4 |
9419 |
158 |
|
YOG |
238 |
256 |
415 |
346 |
761 |
215 |
136 |
32 |
1156 |
49 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 9. ALTERNATIVE 1: EUROPE’S EXISTING AND IDEAL POPULATION AND ENERGY GENERATION
|
COUNTRY |
AREA |
PRESENT |
IDEAL |
|
POPULATION |
TOTAL |
SOLID + LIQUID FUELS |
POPULATION |
TOTAL |
ENERGY TO BE REPLACED |
|
1000 square kilometres |
million people |
gigajoules/ person |
1000 terajoules |
1000 terajoules |
million people |
gigajoules / person |
1000 terajoules |
1000 terajoules |
|
|
ALB |
29 |
3.4 |
21 |
70 |
36 |
3.4 |
100 |
337 |
303 |
|
AUS |
84 |
7.9 |
126 |
986 |
570 |
7.9 |
126 |
995 |
579 |
|
BELU |
33 |
10.5 |
229 |
2399 |
1232 |
8.4 |
200 |
1673 |
506 |
|
BUL |
111 |
9.0 |
94 |
841 |
510 |
9.0 |
100 |
895 |
564 |
|
CZE |
128 |
15.6 |
153 |
2390 |
1634 |
15.7 |
153 |
2390 |
1634 |
|
DEN |
43 |
5.2 |
137 |
734 |
598 |
5.2 |
137 |
711 |
575 |
|
FIN |
338 |
5.1 |
198 |
1074 |
554 |
5.1 |
198 |
1004 |
484 |
|
BLT |
175 |
8.0 |
127 |
1015 |
538 |
8.0 |
124 |
995 |
518 |
|
FRA |
552 |
57.7 |
161 |
9365 |
4093 |
57.8 |
161 |
9284 |
4012 |
|
GER |
357 |
80.7 |
173 |
14016 |
9442 |
71.4 |
173 |
12349 |
7775 |
|
GRE |
132 |
10.2 |
96 |
1035 |
950 |
10.2 |
100 |
1024 |
939 |
|
HUN |
93 |
10.3 |
100 |
1053 |
538 |
10.3 |
100 |
1029 |
514 |
|
IRE |
70 |
3.6 |
117 |
410 |
316 |
3.6 |
117 |
416 |
322 |
|
ITA |
301 |
57.9 |
119 |
7020 |
4480 |
57.9 |
119 |
6885 |
4345 |
|
NET |
37 |
15.3 |
209 |
3566 |
1541 |
12.2 |
200 |
2446 |
421 |
|
NOR |
324 |
4.3 |
199 |
935 |
372 |
4.3 |
199 |
858 |
295 |
|
POL |
313 |
38.5 |
103 |
3956 |
3597 |
38.5 |
103 |
3961 |
3602 |
|
POR |
92 |
9.8 |
62 |
627 |
587 |
9.8 |
100 |
981 |
941 |
|
ROM |
238 |
22.7 |
80 |
1919 |
908 |
22.7 |
100 |
2268 |
1257 |
|
SPA |
505 |
39.1 |
92 |
3626 |
2607 |
39.1 |
100 |
3914 |
2895 |
|
SWE |
450 |
8.7 |
218 |
1957 |
787 |
8.7 |
200 |
1742 |
572 |
|
SWI |
41 |
6.9 |
144 |
987 |
516 |
6.9 |
144 |
995 |
524 |
|
UK |
245 |
58.1 |
158 |
9419 |
5884 |
49.0 |
158 |
7738 |
4203 |
|
YOG |
256 |
23.8 |
49 |
1156 |
761 |
23.8 |
100 |
2379 |
1984 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 10. ALTERNATIVE 1: AREA REQUIRED BY NEW FORMS OF ENERGYTABLE 10. ALTERNATIVE 1: AREA REQUIRED BY NEW FORMS OF ENERGY
|
COUNTRY |
ENERGY TO BE REPLACED |
SOLAR + WIND + THERMAL |
ENERGY FORESTS |
|
TOTAL |
ELECTRI-CITY |
HEAT-ING |
AREA |
SOLAR & WIND ELECTRI-CITY |
THERMAL HEATING |
ELECTRI-CITY INTO HEAT |
HEAT-ING |
ELECTRI-CITY |
AREA |
|
|
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 square kilometres |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 terajoules |
1000 square kilometres |
|
|
ALB |
303 |
227 |
76 |
0.81 |
227 |
44 |
0 |
32 |
0 |
1.04 |
|
AUS |
579 |
434 |
145 |
1.93 |
434 |
104 |
0 |
41 |
0 |
1.66 |
|
BELU |
506 |
380 |
126 |
1.82 |
408 |
98 |
28 |
0 |
0 |
0 |
|
BUL |
564 |
423 |
141 |
1.52 |
423 |
82 |
0 |
59 |
0 |
1.94 |
|
CZE |
1634 |
1226 |
408 |
5.86 |
1318 |
316 |
92 |
0 |
0 |
0 |
|
DEN |
575 |
431 |
144 |
2.37 |
447 |
128 |
16 |
0 |
0 |
0 |
|
FIN |
484 |
363 |
121 |
1.79 |
339 |
97 |
0 |
24 |
24 |
4.60 |
|
BLT |
518 |
388 |
130 |
1.92 |
362 |
104 |
0 |
26 |
26 |
3.60 |
|
FRA |
4012 |
3009 |
1003 |
13.37 |
3009 |
722 |
0 |
281 |
0 |
11.51 |
|
GER |
7775 |
5831 |
1944 |
27.87 |
6270 |
1505 |
439 |
0 |
0 |
0 |
|
GRE |
939 |
704 |
235 |
2.52 |
704 |
136 |
0 |
98 |
0 |
3.23 |
|
HUN |
514 |
385 |
129 |
1.71 |
385 |
93 |
0 |
36 |
0 |
1.47 |
|
IRE |
322 |
242 |
80 |
1.16 |
260 |
62 |
18 |
0 |
0 |
0 |
|
ITA |
4345 |
3259 |
1086 |
13.05 |
3641 |
705 |
382 |
0 |
0 |
0 |
|
NET |
421 |
316 |
105 |
1.51 |
339 |
82 |
105 |
0 |
0 |
0 |
|
NOR |
295 |
221 |
74 |
1.09 |
207 |
59 |
0 |
15 |
15 |
2.81 |
|
POL |
3602 |
2702 |
900 |
12.91 |
2905 |
697 |
203 |
0 |
0 |
0 |
|
POR |
941 |
706 |
235 |
2.53 |
706 |
137 |
0 |
99 |
0 |
3.23 |
|
ROM |
1257 |
943 |
314 |
4.19 |
943 |
226 |
0 |
88 |
0 |
3.61 |
|
SPA |
2895 |
2171 |
724 |
7.78 |
2171 |
420 |
0 |
304 |
0 |
9.95 |
|
SWE |
572 |
429 |
143 |
2.12 |
401 |
115 |
0 |
29 |
29 |
5.44 |
|
SWI |
524 |
393 |
131 |
1.88 |
423 |
101 |
131 |
0 |
0 |
0 |
|
UK |
4203 |
3152 |
1051 |
15.07 |
3390 |
814 |
237 |
0 |
0 |
0 |
|
YOG |
1984 |
1488 |
496 |
5.33 |
1488 |
289 |
0 |
208 |
0 |
6.82 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 11. ALTERNATIVE 2: EUROPE’S IDEAL POPULATION AND FOOD PRODUCTION WHEN PART OF PASTURE AREA USED FOR CROPS. OUTPUT VOLUMES THE SAME AS IN ALTERNATIVE 1
|
COUNTRY |
POPULATION |
CROPLAND |
PASTURE AS % OF CULTIVABLE LAND |
PASTURE OUTPUT AS % OF CULTIVABLE LAND |
CROPLAND + PASTURE AREA |
CORRECTION |
ADJUSTED AREA |
|
million people |
1000 square kilometres Alternative 1 |
% |
% |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
|
|
ALB |
3.4 |
8.9 |
70 |
50 |
11.2 |
0.0 |
11.2 |
|
AUS |
7.9 |
20.0 |
50 |
50 |
24.0 |
0.0 |
24.0 |
|
BELU |
8.4 |
16.6 |
100 |
50 |
22.2 |
0.0 |
22.2 |
|
BUL |
9.0 |
23.6 |
70 |
50 |
29.7 |
0.0 |
29.7 |
|
CZE |
15.6 |
30.9 |
0 |
0 |
30.9 |
0.0 |
30.9 |
|
DEN |
5.2 |
10.3 |
30 |
50 |
11.7 |
12.7 |
24.4 |
|
FIN |
5.1 |
15.1 |
0 |
0 |
15.1 |
0.0 |
15.1 |
|
BLT |
8.0 |
23.8 |
0 |
0 |
8.0 |
0.0 |
8.0 |
|
FRA |
57.7 |
142.5 |
50 |
50 |
171.0 |
0.0 |
171.0 |
|
GER |
71.4 |
180.7 |
30 |
50 |
204.2 |
0.0 |
204.2 |
|
GRE |
10.2 |
43.1 |
70 |
50 |
54.3 |
0.0 |
54.3 |
|
HUN |
10.3 |
27.9 |
50 |
50 |
33.5 |
0.0 |
33.5 |
|
IRE |
3.6 |
7.2 |
200 |
50 |
10.9 |
0.0 |
10.9 |
|
ITA |
57.9 |
157.0 |
50 |
50 |
188.5 |
0.0 |
188.5 |
|
NET |
12.2 |
24.3 |
100 |
50 |
32.4 |
-12.7 |
19.7 |
|
NOR |
4.3 |
11.0 |
0 |
0 |
11.0 |
0.0 |
11.0 |
|
POL |
38.5 |
101.3 |
0 |
0 |
101.3 |
0.0 |
101.3 |
|
POR |
9.8 |
42.6 |
100 |
50 |
56.8 |
0.0 |
56.8 |
|
ROM |
22.7 |
95.5 |
50 |
50 |
114.6 |
0.0 |
114.6 |
|
SPA |
39.1 |
170.0 |
100 |
50 |
226.6 |
0.0 |
226.6 |
|
SWE |
8.7 |
19.4 |
0 |
0 |
19.4 |
0.0 |
19.4 |
|
SWI |
6.9 |
17.1 |
50 |
50 |
20.5 |
0.0 |
20.5 |
|
UK |
49.0 |
85.5 |
200 |
50 |
128.3 |
0.0 |
128.3 |
|
YOG |
23.8 |
103.3 |
70 |
50 |
130.0 |
0.0 |
130.0 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
TABLE 12. ALTERNATIVE 2: EUROPE’S IDEAL POPULATION AND FOREST INDUSTRY WHEN THE CONSUMPTION OF WOOD INCREASES BY 50% OVER THE LEVEL IN ALTERNATIVE 1. THE ADJUSTED AREA HAS BEEN CONVERTED INTO IMPORTS (-) AND EXPORTS (+) BY MULTIPLYING THE ADJUSTED AREA BY THE OUTPUT EQUAL TO THE SUSTAINABLE FELLING OF THE RELEVANT COUNTRY. IMPORTS AND EXPORTS ONLY OCCUR WITHIN EUROPE.
|
COUNTRY |
POPULATION |
FOREST AREA Alternative 1 |
INCREASE IN CONSUMPTION |
FOREST AREA |
CORRECTION |
ADJUSTED AREA |
|
million people |
1000 square kilometres |
% |
1000 square kilometres |
1000 square kilometres |
1000 square kilometres |
|
|
ALB |
3.4 |
20.2 |
50 |
30.3 |
-15.0 |
15.3 |
|
AUS |
7.9 |
11.8 |
50 |
17.8 |
20.0 |
37.8 |
|
BELU |
8.4 |
13.5 |
50 |
20.3 |
-20.3 |
0.0 |
|
BUL |
9.0 |
20.1 |
50 |
30.2 |
-15.0 |
15.2 |
|
CZE |
15.6 |
21.7 |
50 |
32.5 |
6.0 |
38.5 |
|
DEN |
5.2 |
8.4 |
50 |
12.6 |
0.0 |
12.6 |
|
FIN |
5.1 |
13.3 |
50 |
20.0 |
200.0 |
220.0 |
|
BLT |
8.0 |
18.0 |
50 |
26.9 |
90.6 |
117.5 |
|
FRA |
57.7 |
140.6 |
50 |
210.8 |
30.5 |
241.3 |
|
GER |
71.4 |
115.3 |
50 |
173.0 |
147.8 |
25.2 |
|
GRE |
10.2 |
61.4 |
50 |
92.1 |
-16.0 |
76.1 |
|
HUN |
10.3 |
14.2 |
50 |
21.4 |
20.0 |
41.4 |
|
IRE |
3.6 |
5.3 |
50 |
8.0 |
0.0 |
8.0 |
|
ITA |
57.9 |
141.0 |
50 |
211.5 |
-181.5 |
30.0 |
|
NET |
12.2 |
19.8 |
50 |
29.6 |
-29.6 |
0.0 |
|
NOR |
4.3 |
10.5 |
50 |
15.8 |
70.0 |
85.8 |
|
POL |
38.5 |
86.5 |
50 |
129.8 |
28.6 |
158.4 |
|
POR |
9.8 |
22.1 |
50 |
33.1 |
0.0 |
33.1 |
|
ROM |
22.7 |
31.4 |
50 |
47.1 |
10.1 |
57.2 |
|
SPA |
39.1 |
95.4 |
50 |
143.1 |
-0.4 |
142.7 |
|
SWE |
8.7 |
22.9 |
50 |
34.3 |
173.1 |
207.4 |
|
SWI |
6.9 |
11.2 |
50 |
16.7 |
-16.7 |
0.0 |
|
UK |
49.0 |
128.6 |
50 |
192.8 |
-115.1 |
77.7 |
|
YOG |
23.8 |
53.5 |
50 |
80.3 |
-10.0 |
70.3 |
CZE=FORMER CZECHOSLOVAKIA
BLT=BALTIC STATES
YOG=FORMER YUGOSLAVIA
APPENDIX 2. COST ESTIMATES
It is necessary to reiterate the fact that the cost estimates presented here are only rough approximations. The following figures are approximations in all respects, their only purpose is to prove that the whole project is feasible. They are all open to changes and adjustments, which is a good basis for starting a discussion.
|
COST |
QUANTITY |
UNIT COST (EURO) |
TOTAL COST (EURO billion) |
|
Conservation areas |
400 000 km2 |
100000 |
40 |
|
Houses to be dismantled |
800 000 units |
100000 |
80 |
|
Tunnels |
200 km |
20000000 |
4 |
|
Fencing |
40 000 km |
50000 |
2 |
|
CONSERVATION AREAS |
126 |
||
|
Agricultural machines |
20 000 000 units |
20000 |
400 |
|
Farm animal buildings |
2 billion m3 |
100 |
200 |
|
AGRICULTURE |
800 |
||
|
Harvesting machines |
10 000 units |
400000 |
4 |
|
FORESTRY |
4 |
||
|
Solar panels |
150 000 km2 |
50000000 |
7500 |
|
Wind turbines |
150 000 km2 |
3000000 |
450 |
|
Heat pipes |
150 000 km2 |
10000000 |
1500 |
|
Chip-fired power plants |
650 units |
80000000 |
52 |
|
ENERGY |
9502 |
||
|
Renewing factories |
10 000 ext |
100000000 |
1000 |
|
Metal recycling |
2 000 plants |
20000000 |
40 |
|
Plastic recycling |
500 plants |
200000000 |
100 |
|
Mineral aggregate recycling |
500 plants |
50000000 |
25 |
|
GOODS PRODUCTION |
1165 |
||
|
Main line tracks |
10 000 km |
10000000 |
100 |
|
Feeder line tracks |
240 000 km |
2000000 |
480 |
|
Trains |
50 000 units |
10000000 |
500 |
|
Cybercab lines |
20 000 000 km |
300000 |
6000 |
|
Cybercabs |
80 000 000 units |
5000 |
400 |
|
Control system |
2 000 centrals |
10000000 |
20 |
|
PASSENGER TRAFFIC |
7600 |
||
|
Main pipelines |
250 000 km |
1000000 |
250 |
|
Linking pipelines |
20 000 000 km |
200000 |
4000 |
|
Food pipes |
10 000 000 km |
100000 |
1000 |
|
Waste pipelines |
10 000 000 km |
100000 |
1000 |
|
Control system |
2 000 centrals |
10000000 |
20 |
|
GOODS TRAFFIC |
6270 |
||
|
Optical fibre cables |
10 000 000 km |
200000 |
2000 |
|
Telephone exchanges |
20 000 units |
100000 |
2 |
|
Receivers |
300 000 000 units |
1000 |
300 |
|
DATA COMMUNICATIONS |
2302 |
||
|
WATER MANAGEMENT |
1 000 units |
100000000 |
100 |
|
ALL |
27869 |
||
|
UNEXPECTED EXTRA COSTS 50% |
13500 |
||
|
APPROXIMATE TOTAL COST OF PROJECT |
40000 |
||
INDEX
Active carbon
Admixtures
Aeration
Africa
Agriculture
Agricultural land
Air traffic
Alienation
Alloys
Alternating current motor
Alumina
Aluminium
Aluminium silicates
Amorphous silicon
Animals
Animal psychology
Animal protection
Animal-based food
Architecture
Art
Art deco
Arterial traffic
Artificial senses
Assembling industry
Asynchronous transfer mode
Atomic absorption spectrophotometer
Austria
Autocracy
Backflow
Bar screening
Basic services
Basic rights
Basic obligations
Baton Blue
Belgium
Benefit policy
Beverages
Beyond the Limits
Biodegradable plastics
Bioenergy
Biotope
Biotopic inventory
Birth control
Boards
Boiling water reactors
Bottrop
Brasil
Breeder reactor
Bricks
Bridging
Britain
Broadband-ISDN
Buffer zones
Building
Building materials
Bulgaria
Calories obtained from animal sources
Carbon monoxide
Carriers
Cehave
Cellulose
Central plan
Chemical wood processing industry
Childcare
China
Chip-fired power plant
Chipboard industry
Chipping device
Chlorination
Cities
Clay
Club of Rome
CO2
Coal
Coal balance
Collection depots
Colour separation
Combustion gas
Commercial forest
Communism
Commuter traffic
Composite materials
Composites
Composting
Concrete
Condensing power plants
Conservation of atmosphere
Consignment capsules
Consumption of energy
Cooling pipes
Copper-indium-selenium cell
CORINE
Cracking
Crops
Crushing plant
Crystalline structure
Culinary arts
Culture
Cultural diversity
Cybercab
Cybercab system
Czechoslovakia
Data
Data bank
Data communication
Data communications network
Data glove
Data processing
Data storage system
Data transfer systems
Daycare centres
Deep-sea fishing
Deinked recycled paper
Delivery pipes
Demography
Denmark
Desired family size
Developing countries
Development aid
Diamond sawing
Digitalic map
Digitalic centre
Digitalised technology
Directives
Dismantling industry
District heating
Diversified forest
Diversity of nature
Dolomite
Draw seine
Drift nets
Drinking water
Drinking water purification plant
Drip technology
Duales System Deutschland
Durability
Eating meat
Eco-city
Eco-disaster
Eco-village
Edison
Education
EECONET
Eiffel
Electric car
Electricity
Electricity market
Electroluminescence
Electronic information
Electronic markets
Element building
Elementary education
Elite culture
Emissions
Employment
Endangered species
Energy
Energy balance
Energy consumption
Energy field
Energy interest
Energy market
Energy park
Energy plan
Energy storage
Entropy
Environment
Environment costs
Environment statistics
Environmental destruction
Environmental hazard
Environmental installation
Environmental tax
Erosion
Ethane
Ethene
EU directives
Europe
European Union
Evolution
Family planning
Feed
Feeder train
Feeder traffic
Fertilisers
Fibre optic cables
Filler
Final felling
Finland
Fish breeding
Fishing
Fishing fleet
Fission
Fleet of machines
Food
Food management
Food production
Food spectrum
Forest
Forest balance
Forest harvesters
Forest industry
Forest keeping
Forest types
Fossil fuels
France
Frequency converter
Fuelwood
Fusion
Fusion energy
Fusion reactors
Game
Genes
Gene banks
Gene-technology
Genesis
Genetic manipulation
Geothermal heat
Geothermal pipelines
Geothermic energy
Germany
Glider
Goods pipeline
Goods traffic
Graphite moderated reactors
Gravel
Greater Meadow Rue
Greece
Green corridors
Green`s cell
Greenhouse
Greenhouse effect
Greenhouse gases
Grey water layer
Ground water
Handicapped
Hazardous waste
HDTV
Health network
Heat pump
Heating systems
Heating costs
Heavy metals
Highly radio-active waste
Human rights
Hungary
Hydrogen technology
Hydrogenolysis
IAEA
Iceland
Ideal food
Ideal population
IEA
Immigrants
India
Indigenous species
Industrial production
Infant school
Information
Information terminal
Information technology
Infra-red alarm
Infrastructure
Inherited genes
Insect blights
International agreements
Internet
Ion exchange
Ireland
Island theory
Italy
Japan
Jointing technology
Labour
Land use
Land use map
Land use plan
Landfill charges
Large mammals
Large cities
Legislation
Life-oriented ethics
Lifespan
Light-water reactors
Limestone
Liquid helium
Liquid crystal screen
Local traffic
Local rail networks
Lorry traffic
Lotka-Voltera model
Machines
Maglev train
Magnetic levitation
Main plastic
Manioc
Manual steering
Manure exchange
Mechanical wood processing industry
Mechanical-chemical-biological purification system
Medical care
Megamachine
Megastructures
Metals
Metal scrap
Metapopulation theory
Microfiltration
Mineral aggregates
Mixed plastics
Multi-purpose harvester
National parks
National states
Natural uranium
Natural disasters
Natural gas
Natural resources
Natural landmark
Natural monument
Nature
Nature conservation
Nature conservation area
Nature conservation board
Net growth of forest
Net migration
Net reproduction
Netherlands, The
Newsprint
Nitrate content
Nitrogen
Nitrogen oxides
Non-renewable natural resource
Nordic countries
North America
Norway
Nuclear energy
Nuclear power station
Nuclear reaction
Nuclear waste
Oil
Optical alarm
Optical fibre
Outdoor cultivation of plants
Over production
Over-intensive Cultivation
Overpopulation
Ozoning
Packages
Packaging industry
Packaging materials
PADU
Paper
Paper consumption
Paper industry
Paper made from chemical pulp
Paper production
Paper tax
Parking
Passenger traffic
Pasture areas
Peat
Pedestrian zones
Permanent buildings
Pesticides
Petroleum industry
Phoenix
Phosphorus
Photo-electrochemical
Photoelectric cells
Phototransistor
Phytoplankton
Pig breeding
Pixels
Planning economy
Plant for dismantling cars
Plant-based food
Plasma
Plastics
Plutonium
Pocket panel
Pocket communicator
Poland
Politics
Pollution emissions
Polyester
Polyethylene
Polymedia
Polymedia board
Polymers
Polypropene
Polyurethane
Polyvinyl chloride
Popular culture
Population
Population growth
Population policy
Portugal
Pre-aeration
Pressurised-water reactor
Products
Product descriptions
Product development
Product dismantling plant
Product liability law
Production
Production figures
Production models
Production of energy
Production processes
Production station
Progressive taxation
Propene
Protected islands
Public expenditure
Public income
Pulp industry
Purification technique
Purifying beds
Pyrolysis
Radiation
Radiation danger
Radiation heat
Radioactivity
Rail traffic
Rain water
Rathenow
Raw material exchange
Raw wood
Recycling
Recycled fibre
Recycling industry
Recycling models
Recycled paper
Recycling strategies
Recycling systems
Reinforced concrete
Remote presence
Rendezvous technology
Reverse osmosis
Revolver technique
Robot
Romania
Root filter
Rotor
Safety
Sanctions
Sand filtering
Sand bed
Satellite navigation
Saving of energy
Sawn timber
Scenarios
Schwalm-Nette protection area
Scientific reserve
Scrap
Scrap batch
Scrap collection
Screen
Secondary pipeline networks
Sedimentation
Selective felling
Separating methods
Septic tank
Septication
Service sector
Sewage
Silicon
Silicon carbide
Single crystal cell
Single crystal silicon cell
Social sciences
Social disaster
Socialism
Sodium
Solar cell
Solar energy
Solar energy plant
Solar panel
Sovereignty
Soviet Union
Soya
Spain
Specially grown trees
Species
Stabilised World Model II
Steering system
Stephenson
Strategy for developing countries
Succession
Suitability for recycling
Sulphur
Super glass
Superconductive electricity cables
Superconductivity
Superphoenix
Supraconductive energy
Sustainable development
Sweden
Switzerland
Taxes
Technosphere
Telework
Teleworking station
Temporary buildings
Terminal
TGV trains
Thermoplastics
Thinning of forest
Thorium
Three-level power plant
Tidal energy plant
Tin
Tokamak
Town planning
Traffic
Traffic accidents
Traffic jam
Traffic network
Traffic regulations
Train traffic
Transportation
Trawl
Ultraviolet radiation
Unemployment
United Kingdom
Uranium
Uranium concentrate
Uranium dioxide
Uranium hexafluoride
Uranium reserves
Uranium tetrafluoride
Uranium 235
Uranium 238
Vacuum pipes
Vapourisation heat
Vegetarianism
Videophone
Virtual environment
Virtual games
Virtual reality
Wall screen
Waste
Waste batch
Waste disposal
Waste heat
Waste pipeline
Water circulation
Water pipe networks
Water purification plant
Water energy
Wave energy power plants
Wet solar cells
Wholesale exchange
Wide screen digitalised technology
Wind
Wind energy
Windfarm
Wind power plant
Wind turbines
Wolf way
Wood
Wood fibre
Wood products
Wood stock
World conservation union
World conservation monitoring centre
Yugoslavia
Zebra-model
Zircon alloy
Zooplankton

