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Cumulative effects and interactions
in human-environmental systemsAn interdisciplinary and cross-sectoral
perspective
Professor Dr. Pavel Kabat
IIASA Director General and Chief Executive Officer
Professor Earth System Science
Wageningen, Netherlands
OostEen parachutisctische durfaldook vlak bij het wad op een veestal.Hij zei: Ik weet best: het vliegveld is west, Ik snap niet waaroom ik op Oost val.
Jan Heemskerk (2006)
53 Texelse Limericks
THE EARLY 1970s
Sources: nuclearweaponarchive.org, The Guardian
Sources: US Department of Interior, IIASA
International, independent,
interdisciplinary
Research on major global
problems
Solution oriented, integrated
systems analysis
24 MEMBER COUNTRIES (NMOs)
24 MEMBER COUNTRIES
Representing:
71% of the world’s economy US$54,797,000 million from World GDP of US$77,302,000 million
(including 8 of the world’s 10 largest economies)
63% of the world’s population4,599.7 million people from World population of 7,247.9 million
Sources: GDP figures from IMF (2014); population figures from IIASA (2015)
IIASA TRULY INTERNATIONAL
Today’s
IIASA
• 1,445 visitors & collaborators in 2014
• Plus ~25% of IIASA alumni (3,505 people worldwide)
remain actively involved in IIASA research
• Plus ~600 partner institutions
• In sum, ~2500 researchers from some 65 countries
involved in IIASA’s research network (external faculty)
• And it is not just research networks: IIASA researchers
took part in 112 advisory boards and steering
committees in 2014
INTERDISCIPLINARY SCIENTISTS
30%
41%
29%Natural Scientists &Engineers
Economists & otherSocial Scientists
Mathematicians andothers
IIASA’s Systems Science Approach
• Integrated
• Interdisciplinary
• International
• Independent
• Solution-oriented
• Long term
• Trade offs
=Systems
Analysis
EXAMPLES OF EARLY RESEARCH
1978 1981 1986 19901983
Food
&
Water
Poverty
&
Equity
IIASA RESEARCH STRATEGY
Energy
&
Climate
Change
IIASA HIGHLIGHTS 2011-2015
http://www.iiasa.ac.at/web/home/about/achievements/Highlights.html
NEW IIASA RESEARCH FRAMEWORK
Integrated
Solutions for
Sustainability
Transformations
Natural
Systems
Technology &
Infrastructure
Systems Human & Social
Systems
Integrated Systems
Analysis
Science, Policy, Society
Partnerships
Systems Approaches for Global
Transformations
IIASA Research Plan 2016 – 2020
http://www.iiasa.ac.at/web/home/about/leadership/strategicplan/IIASA-
Research-Plan2015-2020.pdf
Example of the Benefits of Systems Thinking:
GLOBAL ENERGY ASSESSMENT
16Source: GEA, 2012: Global Energy Assessment - Toward a Sustainable Future, Cambridge University Press and IIASA
• Launched in 2012 at Rio +20 Summit
• Outcomes include defining the aspirational yet
feasible objectives for the UN Secretary-
General’s Sustainable Energy For All Initiative:
1. Ensure universal access to modern
energy services by 2030
2. Double the global rate of improvements in
energy efficiency by 2030
3. Double the share of renewable energy in
the global energy mix by 2030
1850 1900 1950 2000 2050
EJ
0
200
400
600
800
1000
1200
Mikrochip
Kommerzielle
Luftfahrt
Fernseher
Vakuumröhre
Ottomotor
Elektrischer
MotorDampf-
maschine
Nuklear-
energie
Biomass
Coal
RenewablesNuclear
Oil
Gas
Other renewables
Nuclear
Gas
Oil
Coal
Biomass
Global Primary EnergyHistorical Evolution
1850 1900 1950 2000 2050
EJ
0
200
400
600
800
1000
1200Savings
Other renewables
Nuclear
Gas
Oil
Coal
Biomass
Bio-CCS – negative CO2
Nat-gas-CCS
Coal-CCS
Biomass
Coal
Renewables
Nuclear
Oil
Gas
Source: Riahi et al, 2012
Energy savings (efficiency, conservation,
and behavior)
~40% improvement by 2030
~30% renewables by 2030
Global Primary EnergyA Transformational Pathway
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
1.2%
Only Energy Security Only Air Pollution and Health Only Climate Change All Three Objectives
Tota
l Glo
bal
Po
licy
Co
sts
(20
10
-20
30)
Added costs of ES and
PH are comparatively
low when CC is taken as
an entry point
Source: McCollum, Krey, Riahi, 2012
Multiple Benefits of Integrated Policies
Cumulative and Complex Adaptive Systems in
Marine and Coastal Environments( examples/vignettes after & in collaboration with Dr.Ulf Dieckmann,
Director IIASA Evolution and Ecology (EEP) Programme
Rapid adaptation
Interdependent agents
Emergent phenomena
Tipping points
Self-organized criticality
Social dilemmas
Stakeholder diversity
Rapid
Adaptation
Two Types of Adaptation
• Biological evolution
operates through genetic change (slower)
• Cultural evolution
operates through social learning (faster)
Two Common Misperceptions
• Biological evolution is always slow
On the contrary, rapid contemporary evolution is
widespread, in particular in response to
anthropogenic environmental change
• Biological evolution is always optimizing
On the contrary, selection operates at the individual
level, implying that population-level features will rarely
get optimized by evolution
• Evolutionary responses of stocks to modern
fishing pressures are inevitable
• Significant evolution can occur within just a
few generations
• Evolutionary changes are not necessarily
beneficial
• Evolutionary changes will often be difficult to
reverse
Example: Modern Fisheries
Which Traits Are at Risk?
• Age and size at maturation
Reproducing late is impossible
• Reproductive effort
Saving for future seasons is futile
• Growth rate
Staying below mesh size prolongs life
• Morphology and behavior
Avoiding fishing gear is advantageous
© Google Earth
Feeding groundsBarents Sea,mature & juvenile fish
Spawning groundsNorwegian coast,only mature fish
With a catch of 400,000 tonnes per year, Northeast Arctic cod is
one of the most important European fish stocks
Northeast Arctic Cod: Stock
Structure
Len
gth
at
50%
mat
ura
tio
n
pro
bab
ility
at
age
7 (c
m)
1930 1970 2005
70
100
90
80
This shift in maturation schedule contributes to a drop in maturation age from 9-10 years to 6-7 years and reduces initial egg production by about 50%
Until about 1970
Today
Northeast Arctic Cod: Evolutionary Change
0 100Time (years)
Currentfishing
Ag
e at
mat
ura
tio
n (
year
s)
12
10
8
6
4
2
0
Historicalfishing
Eco-genetic model of Northeast Arctic cod
Fast Pace of Evolutionary Decline
ca. 40 yearsTo
da
y
Ag
e at
mat
ura
tio
n (
year
s)
Historicalfishing
0 100Time (years)
12
10
8
6
4
2
0
Currentfishing
Eco-genetic model of Northeast Arctic cod
Slow Pace of Evolutionary Recovery
To
da
y
ca. 250 years
Inter-
dependent
Agents
A few rich cooperators suffice to enable cooperation under adverse conditions
With wealth inequality Without wealth inequality
Blue: cooperators, red: defectors, bright: rich sites, dark: poor sites
Social planners can maximize cooperation by managing wealth inequality
High temptation to defect Low temptation to defect
0% Fraction of rich sites 100%
Contr
ast
betw
een r
ich a
nd p
oor
sites
0% Fraction of rich sites 100%
Making just 10% of sites
3 times richer greatly
improves cooperation
Planners can move along
iso-wealth curves to
maximize cooperation
For low
temptation to
defect, as in
societies with
strong
institutional or
social control, the
situation
reverses: full
equity now
maximizes
cooperation
Social
Dilemmas
Global climateBeneficial
demography
Clean airPrudent
urbanization Social welfare
Internet Fish and game Communal land
Civil security
Common Goods and Social Dilemmas
Garrett Hardin
Open-access resources that are utilized unrestrictedly tend to suffer from overexploitation and will often collapse through a ‘tragedy of the commons’, in which the selfish actions of individuals jeopardize a common good
Framing the Social Dilemma
• Conventional (‘Tragedy of the Commons’)
– Foster cooperation despite selfish behavior
– Emergence of social institutions
– Insights from game theory
• Broadened framing
– Account for plural rationalities
– Emergence of socially inclusive institutions
– Insights from cultural theory
Inclusive Governance
• Recognizes stakeholder views, and therefore
accounts for their heterogeneity in terms of age,
sex, income, race, interests…
• According to cultural theory, it is critical to also
account for worldviews:
– Individualism (choice, markets)
– Egalitarianism (moral stance, communal)
– Hierarchism (control, regulation)
– Fatalism (life is a lottery)
Stakeholder
Diversity
Approaches for Social Planners
When agents are heterogeneous, social planners can
• Analyze stakeholder impacts
• Optimize for one stakeholder or objective
• Optimize across stakeholders or objectives
• Promote compromise across stakeholders
Integrated Bioeconomic Model
Northeast Arctic cod
Ca. 460,000 tonnes
Derived Harvest Control Rules
Adult biomass (1000 tonnes)
Harvest-control rules are politically
negotiated without support from
quantitative modeling
Our assessment is process-based,
couples an individual-based
biological model with an economic
model, and accounts for three
alternative objectives
Current rule maximizes profit,
while alternative objectives lead to
more aggressive exploitation
Yield-maximizing HCR
(Johannesburg World
Summit 2002)
Welfare-maximizing HCRCurrent HCRProfit-maximizing HCR
Hilborn 2007: “Zone of New Consensus”
0 Population crash
Yield
Fishing effort
Ben
efit
s (u
tilit
y)
EmploymentProfit
Ecosystem preservation
Zone of traditional
fisheries
management
Zone of
new
consensus
Integrated Assessment
1. Biological model
Northeast Arctic cod,
Barents Sea capelin
2. Socio-economic model
Fleet costs, revenues, and effort-employment
relationships estimated from profitability
surveys by the Norwegian Fisheries Directorate
3. Stakeholder model
Heterogenous preferences
Stakeholder Preferences
Yield Employ-
mentProfit
Preser-
vation
Industrial fishers 30% 70%
Artisanal fishers 50% 10% 10% 30%
Employment-oriented community 20% 50% 30%
Profit-oriented community 20% 60% 20%
Conservationists 10% 20% 20% 50%
Area of joint satisfaction: Consensus most likely
Stakeholder A Stakeholder B
Mapping the Zone of Consensus
Mapping the Zone of Consensus
Harvest proportion (%)
Min
imu
m s
ize
(cm
)
Capelin Cod
0 20 40 60 80 100 0 20 40 60 80 100
50
1
00
15
0
5
10
1
5
20
70%
90%Status quo
Status quo
A propos: The Anthropocene
• For the first time in the Earth’s history are the major
processes dominated by a single species:
• Homo (not-so much) -sapiens ?
• The current era is therefore so unique that is has been
labeled the ‘Anthropocene’
• What are the consequences and can we manage
this?
The UN Millennium Ecosystem Assessment
Washington Post
30 March 2005
VISION…..
If one does not know
to which port one is
sailing, no wind is
favorable
Seneca (c. 4 BC-AD 65)
Photo: David McGrath
The Renaissance vision
Sir Isaac NewtonPrincipia
The Renaissance vision
Young
Wadden
Academy
here
Sir Isaac Newton
????
Principia
Terrestris Rationis PrincipiaThe Anthropocene vision
VuurtorenwachterEen vuurtorenwachter, die zei:“Mijn vak maakt me nietaltijd blij.Want soms staat mijn lichtop het naaktstrand gericht, maar dan flitst het er te snelvoorbij.”
Jan Heemskerk(2006)
53 Texelse Limericks
Thank you and welcome soon at
IIASA !!