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8/3/2019 A Complex Systems Study of the Implications
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A Complex Systems Study of the Implications of
Anthropogenic Perturbations of the Global
Biogeochemical Cycles
A PhD Presentation by Nicola Smith
23 May 2008
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During the 20th century the worlds
population quadrupled, the global economyexpanded 14-fold, energy use increased 16
times, and the control of world biomass
increased to about 40 percent
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Overview of PresentationOverview of Presentation
Describe research topic and key aims
Provide context to the proposed research a
summary of five existing contributions
Propose a broad conceptual framework
Describe the economic components of the
researchSummary of key challenges
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Overview of ResearchOverview of Research
Key task is to develop an integratedmodel of theEarth system that captures insights from both thenatural and social sciencesFocus is on:
Natural systems - biogeochemical cyclesSocio-economic systems - economy, demographicsThe interactions within and between thesecomponents
Research will pick up on contributions alreadymade by Murray Patterson and Garry McDonaldResearch will be undertaken at a globallevel
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Key Research AimsKey Research Aims
To develop a method for modelling the world economyas it is embedded within the global biogeochemicalcycles, that:
Achieves a high level of integration of natural and humancomponents
Captures important feedbacks, non-linearities and lags
To identify the anthropogenic disturbance regimes andperturbations that matter at the global level
The human mind is not well-adapted to interpreting the
behaviour of our complex earth system characterised bymultiple non-linear feedbacks Jay Forrester
To identify sustainable pathways for the globaleconomy
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What are Sustainable Pathways?What are Sustainable Pathways?
A steady state economy - in terms of physicalinput and output
Minimizing energy throughput (entropy law)A sustainable economy is one characterised by minimized and
consistent physical exchanges between human society and theenvironment, with internal material loops driven by renewableenergy
Maintaining a constant stock of (natural) capital(some natural capital is critical)
Maintain life-support services and assimilativecapacity of the environment
Ensuring the Earth system does not transcend toa new stable state
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Overview ofOther ModelsOverview ofOther Models
Integrated global modelling originates from the
1970s with theWorld2 and World3 models
Nearly all models begin with a strong emphasis
on either natural or human parts of the earth
system truly integrated models still rare
Five models have been selected for review to
help provide a context to the proposed research:Mackenzie, GBCM,World Model, GUMBO and
TARGETS
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Mackenzie ModelMackenzie Model
Mackenzie et al. (1993)
Strengths:
Attempt to integrate biogeochemical cycles (C, N andP) at a global level
Relatively simple and easy to understand
Limitations:
Few connections and feedbacks between cycles Largely driven by perturbations in P cycle only
Almost every process controlled by first order rateequation eg AO
f kA!
fAO = flux of C from atmosphere to ocean, k= constant,
A = C stock in atmosphere
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Global Biogeochemical Cycling ModelGlobal Biogeochemical Cycling Model
(GBCM)(GBCM)
Strengths:Very high degree of integration and feedback
between the biogeochemical cycles
eg phytoplankton N fixation
Limitations:
Every process driven by a selected donor stock
Does not include anthropogenic processes
2 2 4 4 2 2 100 150 80 4 2CO H O SO HPO N O N C H O N SP O H
p
C cycle H cycle
S cycleN cycle
P cycle
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LeontiefsWorld ModelLeontiefsWorld Model
What is input-output analysis?Example Input-Output Table
Primary Secondary Tertiary
Households
(final
demand)
Total
Outputs
Primary $5 $20 $1 $9 $35
Secondary $10 $5 $10 $25 $50
Tertiary $8 $10 $10 $12 $40
Primary Inputs $12 $15 $25
Total Inputs $35 $50 $40
Industries
Industries
Allows for easy consideration of economy structure,direct & indirect effects, industrial metabolism
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LeontiefsWorld Model (continued)LeontiefsWorld Model (continued)
First created by Leontief & colleagues in mid 1970sExtended in other studies eg Duchin and Lange (1994)
Strengths:
Describes economy with high level of detail (c50
sectors, 16 regions)
Recognises the industrial metabolism of the
economy (6 resource inputs and 3 residuals)
Limitations:Mostly linear relationships, few feedbacks
No internal description of natural systems
Highlights the difficulty of technology change
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GUMBO ModelGUMBO Model
Connects social, economic and biophysical systemsFocus is on ecosystem services
Strengths:
Many aspects of the Earth system included:
C, N and H2O cycles, climate, capital formation, GWP, land use,energy use, population
Recognises the industrial metabolism of economy
Considers role of the natural systems in economic
growthLimitations:
Entire economy aggregated to 1 sector
=GWP H S B W N E F J K P
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TARGETS FrameworkTARGETS Framework
Temperature increase, UV-B impact
Land cover,Livestock water demand, demandfor irrigated cropland
TERRA Sub-Model
CYCLES Sub-model
De mand Module State Module Land cover, Erosion State Module (calculates reservoirs and fluxes of biogeochemical cycles)
vegetable
animal product
roundwood
Potential yeild
Policy Module Soil fertility, Temperature
Scenarios covering: Area CO2 fertilization
Forest clearing of arabl e Land
Irrigati on land degradation
Land requirements Reforestation
for biofuel Land conservation Developed & Greenhouse gas, C & Br conc
production undeveloped GWP Temp sulphate & DMS conc UV-B effects
feedbacks Ozone module
Climate change module Stratospheric ozone
Radiative forcing Ozone conc
Ava il ab le E ne rgy e mi ss io ns Me an gl ob al t em pe ra tu re
food Population size (developed,
developing)
Energy Sub-Model Economic scenario generator
Temp effects (sea leve l) Do me sti c & i nd us tr ia l w as te wa te r tre atm en t
N & P conce ntratios in Hydrol ogical trans port
Energy Demand Module Electricity Modules Required investment in Required investment in surface & ground water of substances
Aggregate heat and electricity Investment in new capacity energy water resources
demand in 5sectors (commercial, Generating costs AQUA Sub-model
i nd us tr ia l, re si de nt ia l, tr an sp or t & E le ct ri ci ty pr ic e
other Electricity generation GWP, Industrial production,Water Water demand module Water State Module
Investment in efficiency gains investment Water demand for domestic, takes &
Efficiency gains Sector value added agriculture and industrial sectors discharge
Health services, Health services demand Temp increase. Water saving efficiency
GWP UV-B impacts
Population and Health Sub-model Policy/ Response Module
Heat Fuels (Solid Fuel, Liquid Fuel, Gaseous Fuel) Modules Increase of public water supply &
Fuel market share Pressure Module State sanitation. Distribution of water takes
Investment in extraction, Extraction costs, Fuel Price Global Environmental change Water pricing
Known fuel reserves Income status Fertility
Fuel production literacy Population
Drinking water availability Disease Impact Module
Food availability Fresh water availability, public water supply &
sanitation, water for ecosystems
Response/ Policy Module
Population
Labour Food policy Population
costs Water policy
Health services Impact Module
Reproduction policy Population with
Population size and structure proper drinking
Disease burden water
Demand for new reservoirs
Water availability &
quality, Rain
erosivity factor
Food/ Feed
Supply
- Actualyield-Supply costs
CropPotentialYield
Model
(includes factors such
as erosion, irrigation,
temperature)
Land Use Dynamics
Modelsdistribution
ofland amongland
types
Atmosphere
(egCO2, N2O, sulphate aerosols)
Terrestrial Biosphere
(eg Cin vegetation,
inorganic N in soils)
Ocean
egC in plankton, dissolved S
Hydrologicalcycle
Water flows
between reservoirs
Water quality
Allocation of water
to classes according
to N & P conc
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TARGETS Framework (continued)TARGETS Framework (continued)
Strengths:Extensive coverage of the Earth system
C, N, S, P & hydrological cycles, climate, agriculture, land usechange, energy use, population, health
Some feedbacks from environment to socio-economicsystems
eg impact of CO2 fertilization on agricultural production
Incorporation of cultural dimensions
Limitations:
Complexity has led to a loss of transparency
Limited representation of the economy, only 2 sectors industries and services (but sub-models foragriculture and energy)
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SummarySummary
Mackenzie GBCM World Model GUMBO TARGETS My Model
Coverage C, N, P C, P, N, S x C, N C, N, S, P C, N, S, P
Complexity Low High n/a Mod Mod High
Hydrological
cycle x
Climate x x x
Resource
inputsx x Metals, energy
Water, ore,
fossil fuels,
organic matter
Water resources,
organic matter,
fossil fuels
Many
Residuals x xCO2, S & N
oxidesCO2, N, waste
animal & human
excre., CH4, CO2,
SO2, N
Many
Other
interactionsNatural capital
UVB, water quality,
CO2 fert, nutrients?
Coverage x x 48 sectors 1 sector 2 sectorsup to 57sectors?
Complexity n/a n/a Low Low Low Mod
Land use
changex x x
Energy x x
Demographics x x Scenario
Politicalx x
Scenario Scenario Scenario ScenarioCultural x x x x
Biogeo-
chemistry
NaturalSystems
Economics
HumanSystems
Interface
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Limits to pop growth
Residuals (eg CO2)
Demand Temp Forcing Agents
Limits to
production
Land
Demand
Available Matter Inputs (eg timber)
land Energy
The Earth System
Natural Processes
Climate
Radiation
Global Biogeochemical Cycles
Land Use
Energy
Biome Change
Population
Temperature, Precipitation
Economy
Atmosphere
OceanTerrestrial
Primary
ManufServices
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The Economic System (static)The Economic System (static)
Starting point is monetary input-output table
Next step is to extend the framework to a
static model of mass and energy flows
Like other physical input-output tables this
will:
Account for the metabolism of the economy
Recognize the law of conservation of mass
The model will be unique as materials will be
recorded as biogeochemical species
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The Economic SystemThe Economic System (static, continued)(static, continued)
Physical Input-Output Table -Tracing Fertilizer Production and Consumption
Primary Secondary TertiaryHhlds (final
demand)CO2 NO3
- Human
excrement
Total
Outputs
Primary 6kg 2kg 2kg 10kg
Secondary 4kg 2kg 6kg
Tertiary
Hhlds (primary
inputs)2kg 2kg
Residuals
Ma tte
rin p u ts
Industries
Industries
C 1kg
H2O 3kg
N2 1kg
CH4 1kg
Total Inputs 10kg 6kg 2kg
Ma tte
rin p u ts
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The Economic System (dynamic)The Economic System (dynamic)
A particularly challenging component of theresearch
Key factors to consider:
Population change
Change in capital
Technology change
Feedbacks from the environmentNo existing modeling approach entirelysatisfactory
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Modelling Economic DynamicsModelling Economic Dynamics
Input-Output Scenario-Based How do we incorporate
feedbacks?
CGE Models
Assumption of
equilibrium
Economic Growth TheoryOutput
Labour effectCapital effect
+ +
Technology
growth rate
Population
growth rateCapital
investment
++
+
Income+
Investmentrate
+
Wage rateRent rate
+ +
Capital
+
Output
Final
demands
Investment
Govt
spending
GDP+
++
+
Household
consump
Population
+
+
+
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ConclusionConclusion Key ChallengesKey Challenges
Breadth of topic
Scale and aggregation
How do we model dynamic growth of theeconomy?
How do we incorporate technologicalchange?
Complexity and comprehensiveness vseasily digestible outputs