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    RESILIENCE MANAGEMENT ANDGOVERNANCE:

    A basis for sustainable development in

    social-ecological systems

    Brian WalkerCSIRO Sustainable Ecosystems, and

    The Resilience Alliance

    www.resalliance.org

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    Two paradigms for use and management ofnatural resources:

    - Variants of MSY

    - Resilience management and governance

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    a focus on central tendencies rather than probabilitydistributions and extreme events.

    Four misconceptions (flawed MSY assumptions)underlying most development policies

    belief that problems from different sectors do notinteract.

    expectation that change will be incremental and linear.

    an objective of some optimal state of the system thatwill deliver MSY.

    (there is no sustainable optimal state of an ecosystem,or of the world. It is an unattainable goal)

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    The second paradigm

    Resilience Management and Governance

    Two underlying assumptions

    Social-ecological systems:1. behave as complex adaptive systems2. exist as hierarchies of linked adaptive

    cycles at multiple scales (panarchies)

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    Coupled systems of people and nature aredynamic, social-ecological systems (SESs) thatbehave as complex adaptive systems

    - self-organizing

    - non-linear with multiple attractors- emergent behaviour (cannot be predictedfrom their parts)

    - cross-scale interactions

    No-one is in charge

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    Adaptive cyclesecosystems, societies and social-ecologicalsystems exhibit characteristic 4-phase cycles

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    a

    r K

    r: growth / exploitation

    resources readily available

    K: conservation

    things change

    slowly; resources

    locked up

    W: releasethings change very rapidly;

    locked up resources suddenlyreleased

    a: re-organization/renewalsystem boundaries tenuous;

    innovations are possible

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    a

    r

    K

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    PROPOSITION

    Because the world consists of hierarchies ofmulti-scale social-ecological systems (SESs)behaving as complex adaptive systems,

    sustainable use and development rests on threeSES capacities:

    resilience, adaptability and transformability

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    Resilience

    The capacity of a system to absorbdisturbance and re-organise whileundergoing change so as to stillretainessentially the same function, structure,identity and feedbacks

    Four key aspects:

    LatitudeResistancePrecariousnessPanarchy

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    L

    R

    Pr

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    R1

    R2

    R3

    R4

    Focal scale

    Finer scale

    Coarser scale

    R4

    Panarchy (Pa) - influence of the states of the system at scales above andbelow the focal scale, by impacting the system directly (from the finerscale) or by changing the stability landscape (from the coarser scale).

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    Latitude (L): the maximum amount a system can bechanged before losing its ability to recover (before

    crossing a threshold which, if breached, makesrecovery difficult or impossible)

    Resistance (R):ease or difficulty of changing the

    system

    Precariousness (Pr): current trajectory - how closethe system is to a threshold

    Panarchy (Pa):influence on thefocal scale from scalesabove and below

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    Adaptability

    The capacity of actors in the system (people) tomanage resilience :

    (i) change the stability landscape - move

    thresholds or make it easier/harder to change thesystem, and

    (ii) control the trajectory of the system avoidcrossing a threshold, or engineer such a crossing

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    TransformabilityThe capacity to become (or create) afundamentally different system when ecological,social and/or economic conditions make theexisting system untenable.

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    So what does all this mean in thereal world?

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    KEY POINTS

    1) The effectiveness of management orgovernance interventions depends onwhere a system is in the adaptive cycle

    2) Ecosystems, social systems and social-ecological systems have non-linear

    dynamics with threshold effects

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    Alternate states in lakes

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    Alternate states in mulga rangelands in Australia

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    Examples of alternate states in terrestrial ecosystems

    Ecosystem Locations Alternatestate 1

    Alternatestate 2

    Fastvariable

    Slowvariable

    Externaldrivers

    Savannas Australia

    Namibia

    Perennialgrassland

    Annualgrassland

    Leafbiomass

    Soil quality

    Perennialgrass

    Weather,Overgrazing

    Savanna

    Woodlands

    Tanzania

    Botswana

    Grasslands Woodlands Grass Woody

    vegetation

    Drought,

    Disease,Fires,Herbivores

    Woodlands Chile

    Patagonia

    Shrubs Bare soilAnnuals

    Weeds

    Annuals Shrubs OvergrazingFirewood

    harvesting

    Steppe -Tundra

    Beringia(RussiaandAlaska)

    GrassMegafauna

    MossShrubsNomegafauna

    Grass MossShrubs

    Hunting

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    Examples of alternate states in aquatic ecosystems

    Ecosystem Locations Alternatestate 1

    Alternatestate 2

    Fast variable Slow variable Externaldrivers

    Coralreefs

    Caribbean Coral Algae Algae Nutrients NutrientinputOverfishingHurricanes

    Coastalwater

    Worldwide

    Florida Bay

    ClearwaterSeagrassFish

    EutrophicFew fish

    Speciescomposition

    PhosphorusNitrogen

    NutrientinputTemperatureSalinity

    Lakes USA

    Denmark

    Sweden

    ClearwaterLake-grassFish

    EutrophicFew fish

    Speciescomposition

    PhosphorusNitrogen

    Nutrientinput

    NewZealand

    Sweden

    ClearwaterLake-grass

    Eutrophic Speciescomposition

    ? Nutrients?Waterlevels?

    England Turbidity ClearwaterLake-grass

    Suspended solids Fish density Fish removal

    Swampsand

    Marshes

    USA Sawgrass CattailAlgae

    Speciescomposition

    Phosphorus Nutrientinput

    Fires, FrostsDroughts

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    ( )

    Supply of ecosystem services as a function of ecosystem state

    B - lake services (fish, recreation) as a function of phosphate in mudA - rangeland services (wool production from grazing) as a function of shrubsVc - the critical, threshold levels of mud phosphate and shrubs, demarcating aflip from one attractor to another.

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    What determines resilience?

    General-Diversity-Modularity

    -Tight feedbacks-?

    Specific- resilience of what to what?

    e.g. resilience of rangeland production tograzing/rainfall shocks

    Li htl G d Sit

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    Lightly Grazed Site(site 5)

    photo by Jill Landsberg

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    abundance of grass species in an ungrazedrangeland in Australia

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21

    Rank

    Relativeabundance(%)

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    Plant attributes determining ecosystem production and

    water relations (available data)

    height

    mature plant biomass

    specific leaf area

    longevity

    leaf litter quality

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    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21

    Relativeabu

    ndance(%)

    Rank

    Functional similarities between dominant and minorspecies

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    - Ecosystem performance is promoted byhigh functional diversity (complementarity)

    - Resilience is promoted by high responsediversity (in rainforests, coral reefs, lakes,rangelands)( cf Elmqvist etal; Response diversity, ecosystem changeand resilience. Frontiers in Ecology and Environment)

    Eje X del nicho Eje X del nicho

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    What determines Adaptability?

    leadershiptrustlearning (knowledge generators and knowledgecarriers)

    ie social capital

    - overlapping institutions (Ostrom and others)

    - human capital (skills, education, health)- financial capital

    - natural capital

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    Resilience and adaptabilityper seare

    not necessarily desirable.- the Hindu caste system (Gadgil and Malhotra 1983).

    - Stalins regime

    - desertified and economically impoverished parts ofthe Sahel

    It is sometimes necessary to have the capacity totransform, to become a fundamentally different kindof system

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    What determines Transformability?

    - cross-scale awareness and responsiveness- a propensity for experimentation and novelty(rewarded, not penalised)

    - lack of subsidies, compensation (incentives notto change)- ?

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    Resilienceanalysis

    leads to two importantsets of information :

    The crucial (slow) driving variables that exhibitthreshold effects

    The processes that determine how these variableschange, and the positions of their critical thresholds

    This set of drivers and their determinants leads to acorresponding set of management and policy actionsfocussed on resilience

    CONCLUSIONS

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    Resilience managementdepends onadaptability, and consists of:

    1. Managing the stability landscape

    (increasing the resilience of desirable basinsand decreasing it for undesirable ones)

    2. Managing the systems trajectory

    (keeping the system within a desirable basinor trying to get it from an undesirable into adesirable one)

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    Resiliencegovernanceis aboutincreasing adaptability, andunderstanding and guiding the evolutionof rules

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    The main messages:Adaptive cycles and panarchy effects are important

    Multi-stable states (alternate basins of attraction) arethe norm, not the exception

    The basis of sustainability lies in three, related system

    properties resilience, adaptability and transformability

    Policy and management should focus on the attributes ofsystems that determine these three properties

    Trying to hold a system in some perceived optimal state(command-and-control management)reduces bothresilience and adaptability (and we dont yet know enoughabout transformability)

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    What would a sustainably developing SES look like?

    - promote and sustain diversity - biological, landscape, economic(multiple use of resources), social- restricted human control of ecological variability- modular (connected systems susceptible to shocks)- tight feedbacks- policy focus on slow variables associated with thresholds- emphasis on learning, social networks, locally developed rules- mix of common and private property, overlapping access rights- strong penalties (public shaming) for cheaters- overlapping institutions (hierarchically),- unpriced ecosystem services included in development proposals

    - low resistance to change; innovation and experiments encouraged- strong awareness and response to cross-scale influences

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