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Planning
improvements in natural resources management: Guidelines for using Bayesian
networks to support the planning and management of development programmes
in the water sector and beyond Sustainable
water resource development needs an 'integrated' approach, which recognises
that management must seek to meet multiple objectives through a variety
of means, and must link different perspectives on the environment:
The challenge
is to find a practical way of linking these different perspectives so
that we can think of the environment as a whole. Once this is done the
best means of meeting all the objectives can be seen. |
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novel methodology has been developed to meet this challenge, using systems
known as Bayesian networks. This technique exploits a type of decision
support system used successfully for many years in fields such as medicine
and artificial intelligence. Management strategies only succeed where they have been designed with people in mind, so the decision support system must be developed with help from the people who live and work locally (the 'stakeholders'). Bayesian networks help to encourage stakeholders to participate in the planning process. The guidelines document and the associated files can be downloaded using the links below: |
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The work described above was carried out as part of a project "Integrated Planning and Management of Water Resources". Managed by Jeremy Cain from CEH Wallingford and funded by the UK Department for International Development (DFID) - Project Number R7137. |
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