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Analysing Resilience in Social-Ecological Systems (ReSES) –
a simple model of water management in a semi-arid river delta
DISCUSSIONDISCUSSION
References: [1] Walker B, Holling CS, Carpenter SR, Kinzig A (2004). Resilience, Adaptability and Transformability in Social-Ecological Systems. Ecology and Society 9(2):5. http://www.ecologyandsociety.org/vol9/iss2/art5[2] Folke C, Carpenter S, Elmqvist T, Gunderson L, Holling CS, Walker B (2002). Resilience and Sustainable Development: Building Adaptive Capacity in a World of Transformations. Ambio 31(5): 437-440
Maja Schlüter1 & Claudia Pahl-Wostl2
1Centre for Environmental Research Leipzig/Halle, Leipzig, Germany, [email protected] of Environmental Systems Research, University of Osnabrück, Germany
WATER MANAGEMENT IN THE AMUDARYA RIVER DELTA
• Irrigated agriculture and lake ecosystems are dependent on water supply by the river.
• Water supply to the delta area is highly variable and uncertain.
• Water allocation to users is managed at different levels (national, regional, local).
• River flow supports crop production and sustains fish populations in the lakes.
• Humans exploit both agricultural resources and fish.
Bottom-up (distributed) management is more flexible and can better cope with uncertainty than top-down (centra-lized) management. However, some administrative control is necessary. Buffer capacity of reservoir and fish population is important for resilience of the system. Access to and transfer of information and learning processes among agents are major factors influencing the capacity of the system to adapt to changes. Resilience of Social-Ecological System can only be understood by analyzing the coupled system.
INTRODUCTION
Resilience is the capacity of a system to absorb disturbance and reorganize while undergoing change so as to still retain essentially the same function, structure, identity, and feedbacks [1]. Resilience is seen as an important system property that determines a system’s capacity to cope with and benefit from change [2]. Understanding of mechanisms and dynamics of resilience in a resource management context can support an adaptive management process.
We aim to use a simple model of a coupled social-ecological system in the Amudarya river basin (Central Asia) to explore the influence of organisational structure, information availability, and learning on system resilience and its capacity to cope with uncertainty and to adapt to changing conditions.
MECHANISMS OF RESILIENCE
HUMAN-ENVIRONMENT INTERACTIONS
• Coupling between social and bio-physical models is facilitated by the link of both systems through the water resource and
harvesting of the products crop and fish. Feedbacks between the human and natural systems are explicitly taken
into account (Fig.2).
SIMULATION EXPERIMENTS
• Implementation of different allocation regimes (from administrative to user-based) characterized by degree of distribution of decision making, transfer of information, intensity of agent interactions, potential of agents and social networks to exchange and store knowledge.
• Analysis of resilience (global and local achievement of production goals, survival of fish population) of the regimes to different levels of variability and uncertainty in water availability
• Study of evolution of decentralized regime and multi-user (irrigation and fish) water allocation
SIMULATION EXPERIMENTS
• Implementation of different allocation regimes (from administrative to user-based) characterized by degree of distribution of decision making, transfer of information, intensity of agent interactions, potential of agents and social networks to exchange and store knowledge.
• Analysis of resilience (global and local achievement of production goals, survival of fish population) of the regimes to different levels of variability and uncertainty in water availability
• Study of evolution of decentralized regime and multi-user (irrigation and fish) water allocation
EXPECTED RESULTSEXPECTED RESULTS
• Development of simplified model of real world case study example as tool to analyse mechanisms of resilience for management of resources.
• Challenges lie in determining the appropriate level of complexity in representation of decision making by agents, ecosystem and resource dynamics - and in analysing the influence of model uncertainties on the robustness of the conclusions derived from model results.
• Analysis of resilience has to be context-based. Is generalization on the role of system structure for its resilience possible?
Fig 3: Class diagram of agent model (WA= Water availability)
Fig 1: Simplified scheme of water management in Amudarya delta
ReSES - MODEL STRUCTURE
Fig 2: Scheme of components of ReSES and their interactions; 1Environmental Policies and Insitutions for Central Asia (EPIC) Modelling System for water-balance optimization models in GAMS
• Decision making and information flows are represented at different levels (Fig. 3).
• Hybrid model combining differential equa-tions for fish population, water flows
network with agent based model composed of simple rules.
Agent
AttributesStatus
Memory
National Authority
Attributes
MethodsObserve WAPredict WA
Get demandsCalculate WA
CompareSet outflow
Etc.
Water Manager
Attributes
MethodsGet demandsSet delivery
Create EPIC ModelManage negotiations
Etc.
Farmer
AttributesMin Income/Income
Household sizeActivities
NeighboursRisk Disposition
MethodsAssess IncomeEstimate WA
Determine DemandIrrigate
Exploit FishObserve WAObserve Fish
Determine ActivityEtc.
Characteristics of agentsPerformance ı Knowledge/Experience ı Access to information ı Power/Level of influence ı Responsibility/ Rights ı Interaction with other agents ı Goals
Agent
AttributesStatus
Memory
National Authority
Attributes
MethodsObserve WAPredict WA
Get demandsCalculate WA
CompareSet outflow
Etc.
Water Manager
Attributes
MethodsGet demandsSet delivery
Create EPIC ModelManage negotiations
Etc.
Farmer
AttributesMin Income/Income
Household sizeActivities
NeighboursRisk Disposition
MethodsAssess IncomeEstimate WA
Determine DemandIrrigate
Exploit FishObserve WAObserve Fish
Determine ActivityEtc.
Characteristics of agentsPerformance ı Knowledge/Experience ı Access to information ı Power/Level of influence ı Responsibility/ Rights ı Interaction with other agents ı Goals
RESES - AGENTS
River ReservoirMain CanalIrrigation Channel
FarmingStrategy
AllocationStrategy
Information
Decision
Harvest
Water Flow
Water balance model in EPIC
Agent-based model
Age structured population model
Communication
Fish Population
National Authority
Manager
Farmer
Field River ReservoirMain CanalIrrigation Channel
FarmingStrategy
AllocationStrategy
Information
Decision
Harvest
Water Flow
Water balance model in EPIC
Agent-based model
Age structured population model
Communication
Fish Population
National Authority
Manager
Farmer
Field
Inflow(variable, uncertain)
Level 1National AuthoritySets outflow from reservoirAnd distribution in main canals
Outflow(water, fish offspring)
Reservoir
Level 2Water ManagerDistributes water resources
Level 3FarmerDetermines demands,Consumes water, Harvests crop and fish
FIshGrow and reproduce
Water forIrrigation
Water withFish offspring
Inflow(variable, uncertain)
Level 1National AuthoritySets outflow from reservoirAnd distribution in main canals
Outflow(water, fish offspring)
Reservoir
Level 2Water ManagerDistributes water resources
Level 3FarmerDetermines demands,Consumes water, Harvests crop and fish
FIshGrow and reproduce
Water forIrrigation
Water withFish offspring
Biological/ Ecological System
Social System
Error correction Flexibility in problem solving
Networks that balance power between interest groups
Buffering
Multi-level Modular Structure
Learning
Ability to store knowledge and experience
Redundancy
Diversity (genetic, biological, cultural)
Spatial Heterogeneity
UFZ
- C
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tre f
or
En
vir
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men
tal R
esearc
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Leip
zig
/Halle