CHAPTER 4 . Methods and Tools to Support eZM
This way of presentation also gives the possibility to clearly quantify the objectives of future plans, like "all amoeba species should be between 75 and 200% of the reference situation". Measures can be developed to achieve this objective for example by reducing the
dumping of waste, limiting disruption of the ecosystem, reducing harvest quota, etc.
Various policy alternatives can be supported through different sets of measures.
4.6
Technical Instruments to Support Administrative and Governance
Initiatives at Various Levels and in Different Sectors
4.6.1
General
There is a growing need to support policy makers, planners and engineers with information systems which can be used:
• to structure the decision making process,
• to facilitate the dialogue with stakeholders,
• to improve the quality of the decision.
Such systems should be able to integrate social, economic and environmental aspects and should apply modern information technology to generate, store and process the required information. Within the Netherlands such a system is now under development as part of the socalled LWI initiative. The main aspects of this system will
be discussed in the following sections.
4.6.2
User Requirements
An information system should be able to support all phases of CZM, e.g. planning, development, implementation and control. Moreover, the system should be able to produce information on relevant aspects, such as geographic characteristics, abiotic, biotic and chemical parameters and processes and socio-economic indicators. In order to meet these
requirements a system has been designed which combines a generic system architecture with. a series of dedicated modules to cope with a broad spectrum of CZM issues.
4.6.3
The LWI Concept
4.6.3.1
The System Functionality
The principal functional components of the system are:
• GIS and Data Bases to describe the components of the system;
• Process models, to simulate processes in the natural and socio-economic system;
• Management support tools, to support the computational processes.
This way of presentation also gives the possibility to clearly quantify the objectives of future plans, like "all amoeba species should be between 75 and 200% of the reference situation". Measures can be developed to achieve this objective for example by reducing the
dumping of waste, limiting disruption of the ecosystem, reducing harvest quota, etc.
Various policy alternatives can be supported through different sets of measures.
4.6
Technical Instruments to Support Administrative and Governance
Initiatives at Various Levels and in Different Sectors
4.6.1
General
There is a growing need to support policy makers, planners and engineers with information systems which can be used:
• to structure the decision making process,
• to facilitate the dialogue with stakeholders,
• to improve the quality of the decision.
Such systems should be able to integrate social, economic and environmental aspects and should apply modern information technology to generate, store and process the required information. Within the Netherlands such a system is now under development as part of the socalled LWI initiative. The main aspects of this system will
be discussed in the following sections.
4.6.2
User Requirements
An information system should be able to support all phases of CZM, e.g. planning, development, implementation and control. Moreover, the system should be able to produce information on relevant aspects, such as geographic characteristics, abiotic, biotic and chemical parameters and processes and socio-economic indicators. In order to meet these
requirements a system has been designed which combines a generic system architecture with. a series of dedicated modules to cope with a broad spectrum of CZM issues.
4.6.3
The LWI Concept
4.6.3.1
The System Functionality
The principal functional components of the system are:
• GIS and Data Bases to describe the components of the system;
• Process models, to simulate processes in the natural and socio-economic system;
• Management support tools, to support the computational processes.