An Analysis of the Potential for the Formation of ‘Nodes of Persisting Complexity’
Abstract
:1. Introduction
1.1. The Human and Earth System Predicament
1.2. Literature Review of Global Environmental Threats
1.2.1. Encountering of Limits
1.2.2. Diminishment of Returns
1.2.3. Ecological Destruction
1.2.4. Risk Multipliers
1.2.5. Societal Collapse
1.2.6. Collapse Lifeboats
1.3. ‘De-Complexification’ and ‘Nodes of Persisting Complexity’
1.3.1. ‘De-Complexification’
- ‘Long descent type’—this would likely result from a combination of factors over a longer time period, and so would not be attributable to a singular initiation event and would likely be more gradual and incremental in nature (potentially on the order of years–decades timescales) [63].
- A ‘hybrid’ of these might be ‘de-complexification’ with a prolonged, gradual and non-discrete initiation but which accelerates through the emergence of factors that gain a ‘momentum’ through gradually strengthening enhancing feedback mechanisms and/or cascading events, leading eventually to an abrupt ‘Seneca type’ event that results in the loss of remaining complexity.
1.3.2. ‘Nodes of Persisting Complexity’
2. Materials and Methods
2.1. Aim and Objective
- Define and apply a simple semi-quantitative methodology to screen an existing dataset of nations in order to generate a ‘shortlist’ of the strongest candidates in terms of their ‘favourable starting conditions’;
- Undertake an initial qualitative analysis of each these ‘shortlist’ nations in order to characterise their unique features and analyse their potential to form a ‘node of persisting complexity’; and
- Analyse the features identified to ascertain what features and characteristics may be applicable in the contemporary world to increase the resilience of nations (and other geographical regions) that do not currently have ‘favourable starting conditions’.
2.2. Approach
3. Results
4. Discussion
4.1. Discussion by Nation
4.2. Sustainability and Resilience Lessons
4.2.1. Future Climatic Conditions
4.2.2. Carrying Capacity
4.2.3. Indigenous and Resilient Energy Supplies
4.2.4. Dependence on Global Supply Chains
4.2.5. Over-Reliance on High Levels of Complexity
4.3. Long Term Perspective
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. ND-GAIN Ranking of Highest-Scoring Nations
Rank | Country |
---|---|
1 | Norway |
2 | New Zealand |
3 | Finland |
4 | Denmark |
5 | Sweden |
6 | Switzerland |
7 | Singapore |
8 | Austria |
9 | Iceland |
10 | Germany |
11 | United Kingdom |
12 | Luxembourg |
13 | Australia |
14 | Korea |
15 | Japan |
16 | The Netherlands |
17 | France |
18 | Canada |
19 | United States |
20 | Ireland |
Appendix B. ND-GAIN Vulnerability Indicators
Sector | Exposure Component | Sensitivity Component | Adaptive Capacity Component |
---|---|---|---|
Food | Project change of cereal yields | Food import dependency | Agriculture capacity (fertiliser, irrigation, pesticide, tractor use) |
Projected population change | Rural population | Child malnutrition | |
Water | Projected change of annual runoff | Freshwater withdrawal rate | Access to reliable drinking water |
Projected change of annual groundwater recharge | Water dependency ratio | Dam capacity | |
Health | Projected change of deaths from climate change induced diseases | Slum population | Medical staffs (physicians, nurses and midwives) |
Projected change of length of transmission season of vector-borne diseases | Dependence on external resource for health services | Access to improved sanitation facilities | |
Ecosystem services | Projected change of biome distribution | Dependency on natural capital | Protected biomes |
Projected change of marine biodiversity | Ecological footprint | Engagement in international environmental conventions | |
Human habitat | Projected change of warm period | Urban concentration | Quality of trade and transport-related infrastructure |
Projected change of flood hazard | Age dependency ratio | Paved roads | |
Infrastructure | Projected change of hydropower generation capacity | Dependency on imported energy | Electricity access |
Projection of Sea Level Rise impacts | Population living under 5 m above sea level | Disaster preparedness |
Appendix C. ND-GAIN Readiness Indicators
Component | Indicators | |||
---|---|---|---|---|
Economics readiness | Doing business | |||
Governance readiness | Political stability and non-violence | Control of corruption | Rule of law | Regulatory quality |
Social readiness | Social inequality | ICT Infrastructure | Education | Innovation |
Appendix D. Calculation of Agricultural Land per Capita
Country | Carrying Capacity Analysis (Approximate, Rounded Agricultural Land/Capita) |
---|---|
Norway | 5.5 million total population [71] 365,268 km2 total land area [100] 0.27% agricultural land [72] 0.002 km2 agricultural land/capita |
New Zealand | 5.0 million total population [71] 263,310 km2 total land area [100] 43.2% agricultural land [72] 0.023 km2 agricultural land/capita |
Finland | 5.6 million total population [71] 303,890 km2 total land area [100] 7.5% agricultural land [72] 0.004 km2 agricultural land/capita |
Denmark | 5.9 million total population [71] 42,430 km2 total land area [100] 63.4% agricultural land [72] 0.005 km2 agricultural land/capita |
Sweden | 10.3 million total population [71] 410,340 km2 total land area [100] 7.5% agricultural land [72] 0.003 km2 agricultural land/capita |
Switzerland | 8.5 million total population [71] 39,516 km2 total land area [100] 38.7% agricultural land [72] 0.002 km2 agricultural land/capita |
Singapore | 5.9 million total population [71] 700 km2 total land area [100] 1% agricultural land [72] Negligible agricultural land/capita |
Austria | 8.9 million total population [71] 82,409 km2 total land area [100] 38.4% agricultural land [72] 0.004 km2 agricultural land/capita |
Iceland | 354,000 total population [71] 100,250 km2 total land area [100] 18.7% agricultural land [72] 0.053 km2 agricultural land/capita |
Germany | 79.9 million total population [71] 348,560 km2 total land area [100] 48% agricultural land [72] 0.002 km2 agricultural land/capita |
United Kingdom | 66.1 million total population [71] 241,930 km2 total land area [100] 71% agricultural land [72] 0.003 km2 agricultural land/capita |
Luxembourg | 640,000 total population [71] 2590 km2 total land area [100] 51% agricultural land [72] 0.002 km2 agricultural land/capita |
Australia | 25.8 million total population [71] 7,682,300 km2 total land area [100] 52.9% agricultural land [72] 0.158 km2 agricultural land/capita |
Korea | 51.7 million total population [71] 97,230 km2 total land area [100] 18.1% agricultural land [72] Negligible agricultural land/capita |
Japan | 124.7 million total population [71] 364,555 km2 total land area [100] 12.5% agricultural land [72] Negligible agricultural land/capita |
The Netherlands | 17.3 million total population [71] 33,720 km2 total land area [100] 55.1% agricultural land [72] 0.001 km2 agricultural land/capita |
France | 68.1 million total population [71] 547,557 km2 total land area [100] 52.7% agricultural land [72] 0.004 km2 agricultural land/capita |
Canada | 37.9 million total population [71] 9,093,510 km2 total land area [100] 6.8% agricultural land [72] 0.016 km2 agricultural land/capita |
United States | 335 million total population [71] 9,147,420 km2 total land area [100] 44.5% agricultural land [72] 0.012 km2 agricultural land/capita |
Ireland | 5.2 million total population [71] 68,890 km2 total land area [100] 66.1% agricultural land [72] 0.009 km2 agricultural land/capita |
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Nomenclature | Source(s) | Overview |
---|---|---|
Societal collapse | [7,8,28] | Significant and permanent decreases in measures including: human populations; stocks of non-renewable resources or representations such as ‘wealth’ or ‘nature’; and other ‘services’ supporting civilisation. |
Seneca cliff | [12,13] | Decease in measures (see above) that are characterised as occurring on a significantly more rapid timescale than their increase or build-up. A slow build-up of complexity followed by a very rapid ‘de-complexification’ (hence the ‘cliff’). |
Olduvai collapse | [54] | Energy production per capita will undergo a peak and decline that will limit the overall duration of high technology, industrial civilisation. The collapse will be characterised by cascading failures of the electrical distribution systems that underpin civilisation and its support systems and cause a reversion to much simpler societies. |
Overshoot and collapse | [55] | Complex systems commonly exhibit ‘overshoot and collapse’ dynamics in which exponential growth leads to depletion of supporting resources. This is mathematically and observationally demonstrable, e.g., through the behaviour of populations, resource extraction curves, etc. |
Energy trap | [26] | This describes a global-scale situation in which increasing gross energy output delivers decreasing net energy to society. If gross energy consumption in such a scenario increases against a low or decreasing EROI value, there is potential for the triggering of the full collapse of the energy system. |
Great Simplification | [1] | The large future reduction in global economic activity likely to occur to due to crucial limits being encountered. The limits most likely to cause this are availability of high EROI energy resources, and the effectiveness of debt as an instrument to ‘pull resources forward’ in time (i.e., financing the exploitation of resources with debt allows this to occur earlier, but with steeper future declines in the resource availability). |
Power-down | [56] | Industrialised, globalised society is dependent on the continuous availability of high EROI energy resources (fossil hydrocarbons), and as availability of this declines, society will have less available energy to underpin its essential functions, and turmoil in the form of economic disruption, declining living standards and warfare may become likely. |
The Contraction | [57] | The contraction is a hypothetical process described in fiction in which the period of global economic growth and globalisation (the ‘Expansion’ i.e., the Industrial Revolution and the ‘Great Acceleration’) would undergo a prolonged reversal (the ‘Contraction’) as crucial energy supplies (fossil fuels) become steadily scarcer. |
Name | Description and Basis of Scoring | |
---|---|---|
Carrying Capacity Analysis | This analysis considers nations from the purely biophysical perspective of whether the extent of arable land within the borders of a country could provide sufficient food to support the current population (assuming that large-scale food imports would be inaccessible under a hypothetical future ‘de-complexification’ event), i.e., is the current population in excess of the land’s carrying capacity. The arable land per capita (calculated and presented in Appendix D) is compared with the land area required to provide at least a subsistence diet to assign a semi-quantitative score as follows: | |
1 | The land area available per capita is negligible or significantly below the minimum subsistence level. | |
2 | The land area available per capita is below the minimum subsistence level. | |
3 | The land area available per capita is broadly commensurate with the minimum subsistence level. | |
4 | The land area available per capita is above the minimum subsistence level. | |
5 | The land area available per capita is significantly above the minimum subsistence level. | |
Isolation Analysis | This is primarily defined on the basis of connection and proximity to large external populations (e.g., megacities, regional population centres) that may be subject to significant population displacement and geographical features that may make the subject country/region a favoured location for large-scale migrations. It is related to the Carrying Capacity Analysis in that any displacement of populations would adversely affect the ratio of population to carrying capacity in the receiving destination. A score is assigned on the basis of a subjective, general analysis of the geographical situation of the nation in question as follows: | |
1 | The nation is directly connected by land or narrow straits to and/or has close proximity to external population centres. | |
2 | The nation has moderate land or sea connections and/or has moderate proximity to external population centres. | |
3 | The nation has longer land or sea connections and/or has moderate proximity to external population centres, but other factors (e.g., high latitude) increase relative isolation. | |
4 | The nation has moderate separation and/or distance from external population centres. | |
5 | The nation has a large separation and/or distance from external population centres. | |
Self-sufficiency Analysis | It is noted that this is one of the metrics accounted for in ND-GAIN, but the emphasis in that study is on energy imports and general manufacturing capacity. This metric is concerned with how self-sufficient nations may be under a hypothetical future ‘de-complexification’ event, i.e., how a particular country may be able to respond to the disruption, shrinkage or cessation of global supply lines through its access to and flexibility of indigenous energy supplies and manufacturing capacity. A score is assigned on the basis of a subjective, general analysis of the energy and manufacturing infrastructure and capacity of the nation in question as follows: | |
1 | The nation has negligible or very limited existing indigenous renewable energy resources and/or manufacturing capacity. | |
2 | The nation has limited existing indigenous renewable energy resources and/or manufacturing capacity. | |
3 | The nation has moderate existing indigenous renewable energy resources and/or manufacturing capacity. | |
4 | The nation has significant existing indigenous renewable energy resources and/or manufacturing capacity. | |
5 | The nation has very significant existing indigenous renewable energy resources and/or manufacturing capacity. |
Country | Carrying Capacity Analysis (Refer to Table A4 in Appendix D for Supporting Calculations) | Isolation Analysis | Self-Sufficiency Analysis | Total |
---|---|---|---|---|
Norway | 2 Low current population; 5.5 million [71] but very low fraction of agricultural land; 2.7% [72] means that agricultural land per capita is low at 0.002 km2. Direct access to the North Atlantic and Arctic Oceans. | 3 Direct land connection to the Eurasian landmass but high northern latitude means it is remote from large European population centres. | 4 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 9 |
New Zealand | 5 Low current population; 5.0 million [71] and high fraction of agricultural land; 43.2% [72] means that agricultural land per capita is high at 0.023 km2. Direct access to the Pacific and Southern Oceans. | 5 Island archipelago in the southwestern Pacific Ocean at mid southern latitudes with no nearby large or heavily populated landmasses | 3 Abundant indigenous renewable energy sources. Modern economy but predominantly primary-resource-based, limited manufacturing capacity. | 13 |
Finland | 2 Low current population; 5.6 million [71] but low fraction of agricultural land; 7.5% [72] means that agricultural land per capita is low at 0.004 km2. Direct access to the Baltic Sea. | 3 Direct land connection to the Eurasian landmass, but high northern latitude means it is remote from large European population centres. | 3 Moderate indigenous renewable and non-renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 8 |
Denmark | 3 Low current population; 5.9 million [71] high fraction of agricultural land; 63.4% [72] but small total land area means that agricultural land per capita is low at 0.005 km2. Direct access to Baltic and North Seas. | 2 In close proximity to large European population centres. | 3 Abundant indigenous renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 8 |
Sweden | 2 Moderate current population; 10.3 million [71] but low fraction of agricultural land; 7.5% [72] means that agricultural land per capita is low at 0.003 km2. Direct access to the Baltic and North Seas. | 3 Direct land connection to the Eurasian landmass but high northern latitude means it is moderately remote from large European population centres. | 3 Abundant indigenous renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 8 |
Switzerland | 2 Low current population; 8.5 million [71] high fraction of agricultural land; 38.7% [72] but small total land area means that agricultural land per capita is low at 0.002 km2. Landlocked country. | 1 Centrally located within large European population centres. | 3 Moderate indigenous renewable and non-renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 6 |
Singapore | 1 Low current population; 5.9 million [71], but very low fraction of agricultural land; 1% [72] and very small total land area means that agricultural land per capita is negligible. Direct access to the Indian Ocean and South China Sea. | 1 Island city-state separated from the Eurasian landmass by a narrow strait, centrally located within large Asian population centres. | 2 Very limited indigenous renewable and non-renewable energy sources. Modern high-tech economy with limited manufacturing capacity. | 4 |
Austria | 2 Low current population; 8.9 million; [71] high fraction of agricultural land; 38.4% [72] but small total land area means that agricultural land per capita is low at 0.004 km2. Landlocked country. | 1 Centrally located within large European population centres. | 3 Abundant indigenous renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 6 |
Iceland | 4 Very low current population; 354,000 [71] and moderate fraction of agricultural land; 18.7% [72] means that agricultural land per capita is moderate at 0.053 km2. Direct access to the North Atlantic Ocean. | 5 Island in the North Atlantic Ocean at high northern latitudes with no nearby large or heavily populated landmasses | 2 Abundant indigenous renewable energy sources. Modern high-tech economy with limited manufacturing capacity. | 11 |
Germany | 2 High current population; 79.9 million [71] high fraction of agricultural land; 48% [72] but moderate total land area means that agricultural land per capita is low at 0.002 km2. Direct access to the Baltic and North Seas. | 1 Centrally located within large European population centres. | 5 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with very large manufacturing capacity. | 8 |
United Kingdom | 3 High current population; 66.1 million [71] very high fraction of agricultural land; 71% [72] but moderate total land area means that agricultural land per capita is low at 0.003 km2. Direct access to the North Atlantic Ocean and North Sea. | 4 Island in the northeastern Atlantic Ocean at mid-high northern latitudes, separated from the Eurasian landmass by a moderately sized strait, peripheral to large European population centres. | 4 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with large manufacturing capacity. | 11 |
Luxembourg | 1 Very low current population; 640,000 [71] high fraction of agricultural land; 51% [72] but very low total land area means that agricultural land per capita is low at 0.002 km2. Landlocked country. | 1 Centrally located within large European population centres. | 2 Very limited indigenous renewable and non-renewable energy sources. Modern high-tech economy with very limited manufacturing capacity. | 4 |
Australia | 5 Moderate current population; 25.8 million [71], high fraction of agricultural land; 52.9% [72] and very large total land areas means that agricultural land per capita is very high at 0.158 km2. Direct access to the Pacific and Indian Oceans. | 4 Island continent located between the Pacific, Southern and Indian Oceans at low-mid southern latitudes, separated from outlying islands of the Eurasian landmass by a moderately-sized strait, peripheral to large Asian population centres. | 4 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 13 |
Korea | 1 High current population; 51.7 million [71] moderate fraction of agricultural land; 18.1% [72] and moderate total land area means that agricultural land per capita is negligible. Direct access to the Sea of Japan and East China Sea. | 2 Direct land connection to the Eurasian landmass in close proximity to large Asian population centres. | 3 Moderate indigenous renewable and non-renewable energy sources. Modern high-tech economy with very large manufacturing capacity. | 6 |
Japan | 1 Very high current population; 124.7 million [71] and low fraction of agricultural land; 12.5% [72] means that agricultural land per capita is negligible. Direct access to the Pacific Ocean and Sea of Japan. | 3 Island archipelago in the northwestern Pacific Ocean at low-mid northern latitudes, separated from Eurasian landmass by a moderately-sized sea, peripheral to large Asian population centres. | 4 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with very large manufacturing capacity. | 8 |
The Netherlands | 2 High current population; 17.3 million [71] high fraction of agricultural land; 55.1% [72] but low total land area means that agricultural land per capita is very low at 0.001 km2. Direct access to the North Sea. | 1 Centrally located within large European population centres. | 3 Moderate indigenous renewable and non-renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 6 |
France | 3 High current population; 68.1 million [71] but high fraction of agricultural land; 52.7% [72] means that agricultural land per capita is moderate at 0.004 km2. Direct access to the North Atlantic Ocean. | 1 Centrally located within large European population centres. | 4 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with large manufacturing capacity. | 8 |
Canada | 4 Moderate current population; 37.9 million [71] low fraction of agricultural land; 6.8% [72] but very large total land area means that agricultural land per capita is moderate at 0.016 km2. Direct access to the Pacific and North Atlantic Oceans. | 2 Direct land connection to the North and Central American landmass; in close proximity to large North American population centres. | 4 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with moderate manufacturing capacity. | 10 |
United States | 4 Very high current population; 335.0 million [71] high fraction of agricultural land; 44.5% [72] and very large total land area means that agricultural land per capita is moderate at 0.012 km2. Direct access to the Pacific and North Atlantic Oceans. | 1 Centrally located within large North and Central American population centres. | 5 Abundant indigenous renewable and non-renewable energy sources. Modern high-tech economy with very large manufacturing capacity. | 10 |
Ireland | 5 Low current population; 5.2 million [71] and very high fraction of agricultural land; 66.1% [72] means that agricultural land per capita is moderate at 0.009 km2. Direct access to the North Atlantic Ocean. | 5 Island in the northeastern Atlantic Ocean at mid-high northern latitudes, separated from Eurasian landmass by the Island of Britain, a sea and a moderately sized strait, remote from large European population centres. | 2 Moderate indigenous renewable energy sources. Modern economy but predominantly primary-resource-based; limited manufacturing capacity. | 12 |
Country | Further Analysis Score [A] | ND-Gain Ranking [B] | ‘Favourable Starting Condition’ Rating [A/B] |
---|---|---|---|
New Zealand | 13 | 2 | 6.5 |
Iceland | 11 | 9 | 1.2 |
United Kingdom | 11 | 11 | 1 |
Australia | 13 | 13 | 1 |
Ireland | 12 | 20 | 0.6 |
Nation | Discussion | |
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New Zealand | Energy Resources |
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Climate, Agricultural resources and other factors |
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Overview |
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Iceland | Energy Resources |
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Climate, Agricultural resources and other factors |
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Overview |
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United Kingdom | Energy Resources |
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Climate, Agricultural resources and other factors |
| |
Overview |
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Australia | Energy Resources |
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Climate, Agricultural resources and other factors |
| |
Overview |
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Ireland | Energy Resources |
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Climate, Agricultural resources and other factors |
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Overview |
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King, N.; Jones, A. An Analysis of the Potential for the Formation of ‘Nodes of Persisting Complexity’. Sustainability 2021, 13, 8161. https://doi.org/10.3390/su13158161
King N, Jones A. An Analysis of the Potential for the Formation of ‘Nodes of Persisting Complexity’. Sustainability. 2021; 13(15):8161. https://doi.org/10.3390/su13158161
Chicago/Turabian StyleKing, Nick, and Aled Jones. 2021. "An Analysis of the Potential for the Formation of ‘Nodes of Persisting Complexity’" Sustainability 13, no. 15: 8161. https://doi.org/10.3390/su13158161
APA StyleKing, N., & Jones, A. (2021). An Analysis of the Potential for the Formation of ‘Nodes of Persisting Complexity’. Sustainability, 13(15), 8161. https://doi.org/10.3390/su13158161