other modelling papers
approaching agent based modelling | lake anderson with agents | perspectives in agent based social simulation | mental modelling and model moderation | modelling for firma: an example | supporting social simulation | a multi-agent toolkit | how to implement social policies |

simulation of resource dynamics and management : Francois Bousquet  click here for the movie of the presentation.


contents | dynamics and resource management | ecological modelling | multiple scales and MAS | models | spatial support definition | population biology model | conclusions |

 

dynamics and resource management

Holling's Concepts of Change is a classification of ecological models:

1) where nature is constant and equilibrium centred. Models used to control the balance between ecological production and harvest.

2) Multiple equilibria state, with nature engineered. Models to control the variability.

3) Organisational change, nature evolving. Principle of adaptive management.

ecological modelling

Models used are from the field of system dynamics: stocks and flows, aggregated variables (first and second concepts). Other types of models are used with a view of organisational change. There has been an increase in individual based models (IBM) (second and third concept), such as Lomnicki, Levin, Huston, and De Angelis.

multiple scales and MAS

Ecological dynamics at the micro level

Dynamics at the level of the plots or the forest

spatial entities vs geographical entities

In which entity should the landscape dynamics evolution's rules be specified ???

 

 

 

 

 

 

 

 

decentralised water dynamics (E. Perrier)

models

In the ecological literature, these are theoretical, and focus on problems of organisation, the emergence of co-operation, hierarchies, food-webs. Many of them use evolutionary concepts and tools. There are also applied models, which consider trees and forests, fish and birds, pumas, deers. An example is ATLSS, which was across trophic level system simulation (Everglades). Another example is a spatially-explicit individual-based model of blue duikers population dynamics. Here, multi-agent simulations were created of traditional hunting in an eastern Cameroonian village.

spatial support definition

The blue duikers are frequently hunted, so a spatial map was created. The dots on the map represent animals.

 

population biology model

  • Data from papers on ethology and ecology of Cephalophus monticola Thunberg provides information about life history parameters and biological functions and behavioural rules, such as :
    • Growth
    • Natural mortality
    • Migration
    • Reproduction

This information can then be used to impose a hunting mortality rate on the model. The places marked in red are were hunting takes place and where extinction is likely. Another spatial scale is then included in the model to incorporate the information about the hunting territories

 

another spatial scale to incorporate the information about the hunting territories

 

the hunting model

  • Traps spatial capturability, induced mortality rate
  • seasonal location of the traps

Simulation experiments can then be conducted, altering the amount of hunting, (for example, from 'continuous hunting' to 'periodic hunting'), and also the location of the traps, which may be fixed or random. Changing factors such as these will produce figures for the hunting coverage that each includes, population density after 25 years, and total catches during 25 years.

 

simulation results: first set of experiments

simulation results: second set of experiments

 

conclusions

  • The spatial unity of hunting is the traps path
  • A key-factor: the relationship between the hunting sites and the social networks (groups of hunters from the same family)

 

resource management

  • Many theoretical models, some applied models
  • Simulations of resource management
    • understand the functionality of management rules
    • compare various scenarios
  • Simulation and adaptive management

 

simulation of resource management

  • Interactions through space and resources. Reactive or cognitive models to simulate action on a common resource:
    • fisheries (Bousquet, Le Fur)
    • parks (Gimblett)
    • region (Balman, Dean, ...)
  • Social or economic exchanges:
    • irrigated scheme (Barreteau)
    • region (Rouchier, Kohler, Mathevet...)
    • Watershed (Lansing)

 

simulation and adaptive management : an approach

  • Role games and multi-agent systems: a common representation
    • to increase knowledge on the behaviour,
    • to give back the model to the actors and validate it,
    • to be able to simulate scenarios
  • Tests : (irrigated scheme, space allocation between farmers and herders, negotiation between forest manager and herder)

 

 

 

conclusions

  • Several applications of Mas (Ibm) for ecological systems
  • Some applications on ecosystem management to understand links between social processes and ecological dynamics
  • How to use models of adaptive systems for adaptive management?


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