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Understanding$Risk$in$
Natural$and$Manmade$
Systems$
$Kate$Orff,$SCAPE$Studio$and$$Columbia$GSAPP$
Alexandros$Washburn,$Stevens$InsMtute$of$Technology$
Ellen$Neises,$PennDesign$
Alex$Felson,$Yale$University$
Kate$Orff,$SCAPE$Studio$
and$$Columbia$GSAPP$
IMPLEMENTATION =
GOVERNANCE
KATE ORFF, COLUMBIA GSAPP + SCAPE
LIVING BREAKWATERS, STATEN ISLAND
SCAPE + NYS GOVERNOR’S OFFICE OF STORM RECOVERY
DEC
USACE
NOAA
HRF
DEP
NYNJ BAYKEEPERS
NY HARBOR
FOUNDATION
GOSR
NYC DPR
NY ORR
NY RISING
FEMA
USACE
SI FISHERMAN’S CONSERVATION ASSOCIATION DOE
PUBLIC SCHOOLS PRIVATE SCHOOLS PARK USERS
TOTTENVILLE CIVIC ASSOCIATION RESIDENTS
GOVERNMENT
PARTNERS
ENVIRONMENTAL
REVIEW TEAM
BREAKWATERS
DESIGN TEAM
PEER REVIEW
DUNE DESIGN
TEAM
CHALLENGE: DATA
LACK OF BASELINE KNOWLEDGE //
PUBLIC MAPS STOP AT THE SHORE
DATA BELOW THE WATERLINE
DATA COLLECTION - NEW SURVEYS
DATA COLLECTION - NEW SURVEYS
DATA COLLECTION - NEW SURVEYS
HIDDEN KNOWLEDGE
THE MUD FLATS
SEAL’S HEAD
HORSE FLAT
THE BOGS
THE TRIANGLE
tredding area
live oysters
hard bottom
surf fishing
diverse habitat area
active clamming
areas
historically
productive areas
MAPPING HARD CLAMS
DATA COLLECTION - EXISTING KNOWLEDGE
CHALLENGE: REGULATION
ALIGNING RELATED POLICIES //
POLICY DISCREPANCIES
NY
NJ
UNDERWATER REGULATION
UNDERWATER REGULATION
UNDERWATER REGULATION
500’
1000’
1500’
1500’
2000’
2000’
1000’
500’
200’
200’
FEMA HAZARD ZONES
VE ZONE
LiMWA ZONE
0.2% ANNUAL STORM
A ZONE
LIMIT OF MODERATE WAVE ACTION (LiMWA) (pFIRM 2013)
REPRESENTATIVE TRANSECT
REACH BOUNDARY
COASTAL EROSION HAZARD AREA (CEHA)
LIVING BREAKWATERS
SHORELINE (FEMA pFIRM)
EDGE OF FEDERAL CHANNEL (USACE COORDS)
FEDERAL NAVIGATION CHANNEL (NOAA)
NYC PARCEL BOUNDARIES (NYC DCP)
SI PARCELS (MapPLUTO 15v1)
CONFERENCE HOUSE PARK PROPERTY BOUNDARY (NYCDPR)
MEAN LOW WATER (MLW) -2.62’
STATEN ISLAND BUILDING FOOTPRINTS
7
8
9
6
15
12
16
13
14
11
18
17
20
19
10
5
21
3
4
22
23
2
1
A
B
C
D
I
K
E
F
G
H
J
SHORELINE REACHES
A
B
C
D
E
F
G
H
I
J
K
CONFERENCE HOUSE PARK WEST
CONFERENCE HOUSE PARK EAST
BRIGHTON ST TO YETMAN ST
YETMAN ST TO LORETTO ST
SURF AVE.
HYBRID OAK WOODS PARK
JOLINE LN
TRICIA WAY
BEDELL AVE TO PAGE AVE
BUTLER MANOR WOODS
MOUNT LORETTO
CHALLENGE:
ITERATIVE DESIGN
EXPERIMENTING WITH ENGINEERS
EXPERIMENTING WITH ENGINEERS
EARLY TESTING GRID SIZE RESOLUTION
EXPERIMENTATION IN OUTREACH
BACK TO MAP
BACK TO MAP
BACK TO MAP
CHALLENGE:
LIVING SYSTEMS
FEEDBACK LOOP - PILOTING + MONITORING
CHALLENGE:
LEGAL AND COMMUNITY
PROCESS
LEGAL PROCESS / COMMUNITY PROCESSES
CONSTITUENCY BUILDING
CONSTITUENCY BUILDING
CONSTITUENCY BUILDING
REPLICABILITY
Alexandros$Washburn,$
Stevens$InsMtute$of$
Technology$
CRUX
Resilience	By	Design	University	
19	FEB	2016	
	
	
	
	
	
	
	
	
STEVENS	INSTITUTE	OF	TECHNOLOGY	
COASTAL	RESILIENCE	AND	URBAN	EXCELLENCE
HURRICANE SANDY
resilience and quality of life can best be
achieved in coastal cities by combining
three disciplines: 

















Hydrodynamics: Understanding the
force of the water

Urban Design: Understanding the force
of the city

Complex Systems: Modeling complexity,
measuring results
S T E V E N S 	 I N S T I T U T E 	 O F 	 T E C H N O L O G Y 	
CRUX
FIG.	2.	Stevens	Northwest	AtlanFc	PredicFon	(SNAP)	model	domain,	showing	the	New	York	
Harbor	Observing	and	PredicFon	System	(NYHOPS)	model	nested	within	it.	The	New	Jersey	
Waterfront	InundaFon	Model	is	itself	nested	within	NYHOPS.
Street-Scale	Modeling	of	Storm	Surge	Inunda;on	along	the	New	Jersey	
Hudson	River	Waterfront	
ALAN	F.	BLUMBERG,	NICKITAS	GEORGAS,	LARRY	YIN,	THOMAS	O.	HERRINGTON,	AND	PHILIP	M.	ORTON	
Stevens	InsFtute	of	Technology,	Hoboken,	New	Jersey	
	1486	JOURNAL	OF	ATMOSPHERIC	AND	OCEANIC	TECHNOLOGY	VOLUME	32	
The	comparison	of	the	model	results	to	the	observaFons	
shows	excellent	agreement.		
This	is	due	to	the		
•  robust	flooding	and	drying	physics	of	sECOM	
•  high	resoluFon	and	accurate	digital	terrain		
•  fine	resoluFon	used	in	the	model	
•  high-fidelity	forcing	funcFons	brought	to	this	study.	
“The	close	agreement	found	in	this	paper	provides	a	high	
confidence	in	the	use	of	the	model	for	overland	inunda7on	
predic7on.”
Aerial	Captured	LIDAR
FLUID	MODELING	MEETS	SOLID	MODELING
HOW DO WE COUNTER?
FLUID MODELING MEETS SOLID MODELING
VIRTUAL	HOBOKEN
HYDRO	PREDICTIVE	DIAGRAM
PROJECT	LEVEL	DESIGN	SYSTEM	LEVEL	EFFECT
NO	THANKS
Y E S 	 P L E A S E
Ellen$Neises,$PennDesign$
Systems thinking is about simplification, not computation
(two  different  ways  to  think  about  modeling).  Systems  thinking  allows  us  to  achieve  “the  
simplicity  needed  to  make  a  problem  tractable  to  understanding  and  intervention.”  
EXAMPLE: Brundtland Commission’s  definition  of  sustainability:  “meets  the  needs  of  the  
present  without  compromising  the  ability  of  future  generations  to  meet  their  own  needs.”      
Definition is just flexible enough to allow for agreement, and to accommodate all the
technical, social and ecological complexity of making cities and countries sustainable. (A
focus on Natural Capital rather than Human Capital would offer a stronger form of
Sustainability, but it would be very hard to define functional integrity and resource
sufficiency, and harder still to sustain commitment to a definition.)
– Mark Alan Hughes, Kleinman Center for Energy Policy, PennDesign, on systems and Brundtland World Commission on Environment and
Development, details in Our Common Future, 1987
Basic concepts of applied systems theory
A system is an interconnected set of elements that produces something.
It has Parts, Connections, and Functions. Connections are more important than Parts.
Functions can be hard to understand.
To look for potential for change in a system, for ways to intervene, we also look at:
Stocks and flows
Feedback loops
Leverage points
– Donella Meadows, Thinking in Systems: A Primer, 2008 and Mark Brown, systems diagram of a city and support region
Basic concepts of applied systems theory
A system is an interconnected set of elements that produces something.
It has Parts, Connections, and Functions. Connections are more important than Parts.
Functions can be hard to understand.
To look for potential for change in a system, for ways to intervene, we also look for:
Stocks and flows
Feedback loops
Leverage points
– Donella Meadows, Thinking in Systems: A Primer, 2008
Stocks register flows over time; often complex chains
Stocks change more slowly than flows
Stocks decouple inflows and outflows
Feedback = change in stock that affects flows
Negative feedback is balancing - keeps stock level or within a range
Positive feedback is compounding - rate of change in stock increases
System dynamics that provide leverage for people who understand them:
buffers, delays, rules and goals, paradigms
– Interboro Team, description of parts and connections of physical systems linked to flood ecologies and infrastructure, 2013
one systems thinking approach to resilient urban hydrology:
every lot receives and partitions water
many lots = one city
goal is to simulate in developed landscapes,
via surrogates, the pre-development hydrologic conditions
get water to plants to cool the city
de-engineer and distribute water management
--ideas from Franco Montalto, Department of Civil Engineering, Drexel University
one systems thinking approach to defining broad classes of options for increasing
coastal resilience:
1 move to higher ground and reprogram interface areas
2 build a protective barrier between development and water
3 create storage for fresh and salt water
4 attenuate wave energy and reduce fragility of urban elements
(design for safe failure and perception of risk)
5 improve readiness for evacuation + emergency management
6 combine above in site-specific layered protection
one systems thinking approach to general principles for resilience design of complex
systems and environments:
1 multi-functionality,
2 redundancy and modularization,
3 bio and social diversity,
4 multi-scalar networks and connectivity,
5 adaptive planning and design
– Jack  Ahern,  “From  Fail-Safe to Safe-to-Fail: Sustainability and Resilience in the New Urban World," 2011
We can use systems thinking to
look at connections between
cities, global regions, climate
change, sustainability and
adaptation.
EXAMPLE: 742 members of the
World Economic Forum ranked
global risks in terms of likelihood
and impact. Failure of climate
change mitigation and adaption
ranked highest in impact.
Many other risks were ecological
and infrastructural in nature, all
were perceived to be growing.
All were deeply interconnected in
urban systems.
– World Economic Forum, Global Risks Report 2016;
link to systems thinking from Mark Alan Hughes
Systems thinking helps us
consider the complexity of
interconnections, in this case, the
close ties between infrastructure
and urban planning failures,
ecological collapse and other risks
connected with failure to adapt to
climate change.
World Economic Forum members
were asked to named the risks
they believed to be most
connected. The size of the
diamond and number of links
represents the aggregate strength
of perceived interconnectedness.
– World Economic Forum, Global Risks Report 2016
Despite  the  intelligence  of  the  City  of  New  York’s  plan,  some  systems  thinkers  will  note:  
• Most New Yorkers cannot rely on delivery of big infrastructure projects in time to
protect them.
• We lack a stable long-term consensus of the people that these nature-based and
engineered infrastructures are needed and worth the money.
• Available resources are a tiny fraction of the money required to protect the whole city.
• The Army Corps of Engineers, state regulators and city resilience leaders are aware
that  standard  practices  will  not  produce  these  “full  build  out”  results.
• We have no history of public / private partnership on this scale, and no high-capacity
delivery authorities in place.
• Many of the planners involved recognize that community is often the level at which
the particulars of site potential and common purpose can be articulated, and this
articulation is needed to stimulate action on the part of individual property owners,
community leaders and government for collective provision of layered infrastructure.
• A 7-mile seawall like that proposed on Staten Island will take 12 years to study and
build, will be basic in its implementation, and 2 earlier seawalls in that location failed.
>> We need deep systems thinking to design infrastructure
– PA Consulting, Systems map of counterinsurgency dynamics in Afghanistan
We can use systems thinking the way the military does to find the best places to attack a system
Rank order of intervention types / loci in terms of potential for leverage:
12 Numbers
11 Buffers
10 Physical systems + intersections
9 Time, delays + rates of system change
8 Balancing (cancelling) feedback loops
7 Reinforcing (driving, multiplying) feedback loops
6 Access to information
5 Rules and incentives
4 Self-organization (population evolution)
3 Goals, purpose, function (populations in balance)
2 Paradigms (mind sets, model of the system)
1 Transcending paradigms
– Donella Meadows, Thinking in Systems: A Primer, 2008
Rank order of intervention types / loci in terms of potential for leverage:
12 Numbers
11 Buffers
#10 Physical systems + intersections
9 Time, delays + rates of system change
8 Balancing (cancelling) feedback loops
7 Reinforcing (driving, multiplying) feedback loops
6 Access to information
5 Rules and incentives
4 Self-organization (population evolution)
3 Goals, purpose, function (populations in balance)
2 Paradigms (mind sets, model of the system)
1 Transcending paradigms
– Donella Meadows, Thinking in Systems: A Primer, 2008
Risk = P x E
Probability x magnitude of the consequences of the Event
In p x E problems—extreme events—we can reduce P or reduce E to manage risk, or we
can reduce fragility, or we can increase the probability of upside, learning and evolution.
Bill Joy, creator of Unix and Java:
“If  you  can’t  solve  a  problem,  make  it  bigger.”
Problems seem intractable because they “lack  a big enough design space to create the
needed degrees of freedom.”
–Bill Joy as quoted in Amory Lovins, Reinventing Fire, 2011
In the Brundtland Commission  example,  the  focus  on  future  generations’  needs--
unknown in the present and unfolding over time--shifts the focus to adaptive capacity,
and the potential of unstable systems to create richer future iterations.
5 characteristics of complex adaptive systems:
1 diverse agents able to learn from new information
2 interaction among agents is often non-linear
3 agents exhibit patterns of self-organization
4 complex adaptive systems display emergent properties
5 complex adaptive systems co-evolve with their environments (system reaction to
stimuli alter the environment)
– John Holland, Signals and Boundaries, 2012
Theory of Succession (Clements, 1916)
1. Nudation or disturbance
2. Migration of propagules (seed rain)
3. Establishment of individuals (pioneers)
4. Competition
5. Reaction (pioneers stage the site: relay floristis)
6. Stabilization (climax community reproduces
itself indefinitely)
Gleason, Odum and others amend Clements but
traditional theory is causal, linear—an equilibrium
system.
C.S. Holling’s Emergent Theory of Succession
Open, nested systems
Loopy not linear, cycling feedback
Discontinuous, punctuated change
Non-equilibrium systems efficiently cultivating,
not dissipating, energy
Multiple steady / unsteady states
Inherent uncertainty
Emergent, adaptive properties
C.S. Holling,  “The  Resilience  of  Terrestrial  Ecosystems:  
Local  Surprise  and  Global  Change”  in  Sustainable
Development of the Biosphere, Cambridge University
Press, 1986: 292-320
Post-traumatic growth
Organisms (including us) gain from volatility, randomness, stressors, errors, disorder, and
uncertainty. The environment benefits from creative destruction.
Modernity = human domination of the large scale environment, stifling of volatility
We make social, political and economic systems vulnerable to “Black  Swans”  by over-
stabilizing them. Volatility is information, artificial stabilization removes visible
information, and massive blow ups catch everyone off guard.
Heuristics are better than models. We know they are expedient, imperfect,
approximate—simplicity is more reliable.
Scientists computing risk of harm are over confident, and no one else understands the
models and their assumptions. While fragility is quite measurable, risk associated with
rare events are not.
When you are fragile, you need to know a lot more than when you are anti-fragile (when
you are built to gain from turbulence).
Nassim Nicholas Taleb, Antifragile: Things that Gain from Disorder, 2014
Holland, Holling and Taleb agree:
There’s  a lot to be gained in terms of quality, vitality, resilience or antifragility of ecosystems
and  individuals  if  we  don’t  try  to  over-control for risk and reduce variability.
Principles of Evolution and Markets:
1 If species vary and replicate, populations evolve.
2 There will be winners and losers.
(To make sure that radical redistribution of property value is not the primary means
of initiating new ecologies, we can use systems theory to suggest other points of
leverage.)
3  “Optionality”  is  a  replacement  for  intelligence (Taleb’s language.)
Small may be “ugly”  but  it is less fragile. We need a wider variety of examples of coastal
infrastructure to create sufficient fodder for evolutionary refinement.
>> Prototyping approach to design of coastal infrastructure
Nassim Nicholas Taleb, Antifragile: Things that Gain from Disorder, 2014
INTRO - SYSTEMS THINKING
•introduction to what the ecology and
infrastructure panel is covering
•systems theory in brief - simplifying complexity,
looking for leverage
•qualities that systems theorists and designers
share
•interconnectedness of ecology, infrastructure,
and other systems
•notes from some major systems texts
•example: prototyping to introduce more
variation, promote evolution
•example: new placements in Hunts Point
Lifelines: regulatory innovation and multiples;
jobs, economic participation and food
distribution as resiliency infrastructure, design
as a tool of negotiation
Precast concrete elements placed in the East River Waterfront Esplanade designed by Ken Smith Landscape Architecture
Designers—like systems thinkers—are generalists and integrators.
We are comfortable with indeterminacy and complexity. We are good at mining the particular,
making  exchanges  between  domains  (“new  placements”),  and  creating  integrated  solutions.    
1 We have the right constitution for wicked systems problems, but not the patience or know-
how  to  master  the  science  and  shepherd  projects  through  what  Michael  Berkowitz  calls  “the  
valley  of  death.”  
2 Government agencies working on and financing most risk problems have no idea what design
can offer. We lack power in current institutional arrangements.
“There  is  no  area  of  contemporary  life  where  design…  is  not  a  significant  factor  in  shaping  
human  experience…  However,  a  persistent  problem…  is  that  discussions  between  designers  
and members of the scientific community tend to leave little room for reflection on the
broader  nature  of  design…  Instead  of  yielding  productive  integrations,  the  result  is  often  
confusion and breakdown of communication, with a lack of intelligent practice to carry
innovative ideas into objective, concrete embodiment.”  
--Richard Buchanan, “Wicked Problems in Design Thinking, 1992
model of the system
(different from computational models of risk)
Parameters we are trying to optimize are not yet defined
(similar to agriculture system design where we have
unintentionally optimized cheap food) —the model of the system
needs re-imagining
Enumerate the risk domains and transform them into negotiation
domains or design domains:
1 make sure all interests are risk-informed
2 bring risk-informed interests together to negotiate under what
conditions they could support a debated enterprise, recognizing
that almost all resilience endeavors involve Risk / Risk trade offs
3 apply design as a form of negotiation, create upside benefits
where there is now only risk
Our challenge is to develop and show property owners, regulators,
planners and the public the population of tolerable trade-offs in a
way that facilitates identification of the subset of potentially
mutually acceptable options.
--Mark Hughes, Kleinman Center for Energy Policy , PennDesign
INTRO - SYSTEMS THINKING
•introduction to what the ecology and
infrastructure panel is covering
•systems theory in brief - simplifying complexity,
looking for leverage
•qualities that systems theorists and designers
share
•interconnectedness of ecology, infrastructure,
and other systems
•notes from some major systems texts
•example: prototyping to introduce more
variation, promote evolution
•example: new placements in Hunts Point
Lifelines: regulatory innovation and multiples;
jobs, economic participation and food
distribution as resiliency infrastructure, design
as a tool of negotiation
Alex$Felson,$Yale$
University$
ECOLOGY +
INFRASTRUCTURE
RESILIENCE BY DESIGN UNIVERSITY
FEB 19TH, 2016
ECOLOGY-DRIVEN DESIGN
ALEX FELSON, YALE UNIVERSITY
Understanding risk in natural and constructed ecosystems
alexander(j.(felson,(alexander.felson@yale.edu(
associate(professor(
director,(joint(degree(and(the(urban(ecology(&(design(lab(
yale(school(of(architecture(and(forestry(&(environmental(studies(
“It(is(a(new(day(for(urban(planning,(in(light(
of(the(need(for(new(risk@management(
consideraAons(to(be(integrated(and(
reconciled(across(mulAple(sectors(of(local(
economies.”(
Living(Breakwaters,(Scape(
The(expansion(of(roles(is(leading(to(a(
reallocaAon(of(risks(and(responsibiliAes(
which(exposes(planners(and(designers(
and(raises(demands(for(experAse.((
It(is(a(new(day(but….(
COOP CITY
HISTORIC
MARSH
OVERLAY
cotton eestes
matthew goldstetn
anthony moffa
lauren page
RIPARIAN
WATERSHEDS
RIVER/WATERSHED
RESTORATION STREAM
DAYLIGHTING
STREAM CAPACITY
ENHANCEMENT PARK-TO-
RIPARIAN CORRIDOR
CONNECTIONS
URBAN
STORMWATER
GREEN
DRAINAGE CSO
SEPARATION
FLOOD-PROOF/ELEVATED
BUILDINGS CROSS-CITY
CONNECTIONS/
NETWORKS
COASTAL
STORMS &SEALEVELRISE
SHORELINE STABILIZATION
AND ENHANCEMENT
BERMS AND STORM SURGE BARRIERS
CRITICAL FACILITIES PROTECTION
RELOCATION OF FLOOD PLAIN
DEVELOPMENT
CLAIM TE EDGE, CONNECTTHEREBUILD BY DESIGN: RESILIENT BRIDGEPORT WB
There(is(a(growing(call(to(provide(resilience@based(strategies(to(the(increasingly(
challenging(environmental(condiAons(we(face(with(climate(change.((
(
(
(
(
Rain Fall
green roof.
Building
System
sand filter
Internal block
Treatment
Bioretention.
catch basin
insert.
pervious
paving.
evaporculo
n
'
- -Ocean /Inlet
bio-swale
Street
Conveyance
dune garden
constructed
Wetland.
'---------- retention Garden
Off-site
Treatment
Designers(are(exploring(a(wide(
range(of(soluAons(including(physical(
design(strategies,(negoAaAon(
approaches(and(even(resilience@
based(governance.((
Designers(are(seeking(to(leveraging(
cross@scale(dynamics(to(for(example(the(
the(relaAonship(between(buildings,(
flooding(and(storm(events(and(the(
coastal(land(water(transiAon(zone(as(
opportuniAes(for(achieving(resilience.( Meadowlands,(RBD(
RBD(Resilient(Bridgeport,(WB(Yale(Arcadis(
9(
ROUTE 8
(MAIN ST
E. MAIN ST
NORTH AVE
I-95
MODELED STORM SURGE
POTENTIAL FEMA 100-YEAR
FLOOD ZONE COMMERCIAL
BUILDINGS INDUSTRIAL
BUILDINGS
LEGEN
D
LONG ISLAND SOUND
RBD(Resilient(Bridgeport,(WB(Yale(Arcadis(
2014(South(End(Neighborhood(
RevitalizaAon(Zone(Strategic(Plan((
11(
2.18.2011((
6.30.2011((
8.2.2011(
10.6.2011((
10.26.2011(
11.3.2011(
(
11.8.2011(
11.9.2011(
11.12.2011((
5.25.2012(
6.8.2012(
8.8.2012(
(
10.25.2012(
11.25.2012(
12.12.2012(
9.29.2013((
10.26.2013((
6.4.2014(
7.18.2014(
7.28.2014(
10.18.2014(
6.15.2015(
6.24.2015(
(
12(
13(
Influence(of(plant(community(and(media(composiAon(on(the(water(
budgets(of(coastal(rain(gardens(
Varying(composiAons(of(
sand/soil/compost(raAo((
Media(A((raAo(=90/5/5(
Media(B(raAo(=(85/5/10(
Media(C(raAo(=(70/15/15(
14(
Green Infrastructure in Bridgeport
(
(
Bridgeport's Sewage and Stormwater Challenges
A lmost 86% of Bridgeport's land area Is covered with Impermeable
surfaces. 370 million gallons of mixed sewage overflows directly Into
Bridgeport's waterways, on average, every year.
outflow pipes that empty combined
sewage overflow Into Bridgeport
waterways after heavy rains.
Managing(complexity(and(
addressing(mulAple(systems(
Minimize(risks(that(individual(systems(fail,(as(
well(as(avoid(potenAal(cascading(effects(within(
one(system(or(across(a(hierarchy(of(systems.(
FREQUENCY OF
HYPOXIA IN BOTIOM
WATERS
Update(the(applicaAon(of(current(
scienAfic(understanding((
FIRMs(provided(by(FEMA(are(ofen(based(on(analyses(and(data(that(can(be(20(
years(old(or(older(and(ofen(do(not(consider(future(sea(level(rise,(the(combinaAon(
of(coastal(flooding(factors,(and/or(shoreline(change.(
Planning(
Site(
!
•  Uncertainty(of(severity(and(frequency(of(
climate(change(impacts.(
•  Limited(and(complicated(financial(resources.(
•  Limited(regulatory(scope(of(local(governments.(
(
•  Unequal(distribuAon(of(risks.(
•  Uneven(understanding(and(interpretaAon(of(risk(and(
adaptaAon(opAons.((
(
•  Differing(values(of(ciAzens,(experts,(insAtuAons,(and(
decision@makers.(
PANARCHY!!
!
•  Nested(set(of(adapAve(cycles.((
(
•  Cross@scale(cascading,(change(in(the(system.((
(
•  Levels(in(a(panarchy(are(not(staAc(states,(but(rather(adapAve(cycles(that(are(interconnected(to(other(adapAve(cycles.(
•  Each(cycle(operates(over(a(discrete(range(of(scale(in(both(Ame(and(space(and(is(connected(to(adjacent(levels((adapAve(cycles).((
(
Garmestani,(AS(and(M(Harm(Benson,(2013.(A(Framework(for(Resilience@based(
Governance(of(Social@Ecological(Systems.(
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