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Adaptive Systems for a Changing
             World
 FSD3 Workshop Contribution

            Holger Meinke

        TIAR – a joint venture of the Tasmanian
      Government and the University of Tasmania
Jacques Diouf, DG, FAO, UN
‘We not only need to grow an extra one billion
tonnes of cereals a year by 2050 but we need to do
so from a diminishing resource base of land and
water in many of the world’s regions, and in an
environment increasingly threatened by global
warming and climate change’.

This means

• 1000 million of EXTRA tonnes of grain every year

• expand grain production by at least 400 million ha

• which is equivalent to 20 times the area currently
under production in Australia
Characteristics of knowledge
  embedded technologies
provide control over environment
non-contextual in time and space
derived from traditional, reductionist,
disciplinary science with clear problem
statements; rarely contested at that
level
single effects
addressing technical problems
mono-causal perspective
silver bullets
Examples
    mineral fertiliser
    hybrid seed
    irrigation technology
    farm machinery
    GM technology
Characteristics of knowledge
         intensive technologies
improve understanding functions
highly contextual in time and space
based on interdisciplinary knowledge; account for
norms & values that often lead to different
problem definitions with the result that every
answer can be contested
interactions
addressing societal problems
multi-causal perspective
co-innovations
Examples
    IPM
    models that improve breeding programs
    water management in agricultural systems
    precision farming
    GM crops embedded in production systems
    that have gained public acceptance
Characteristics of knowledge                    Characteristics of knowledge
  embedded technologies                            intensive technologies
provide control over environment          improve understanding functions
non-contextual in time and space          highly contextual in time and space
derived from traditional, reductionist,   based on interdisciplinary knowledge; account for
disciplinary science with clear problem   norms & values that often lead to different
statements; rarely contested at that      problem definitions with the result that every
level                                     answer can be contested
single effects                            interactions
addressing technical problems             addressing societal problems
mono-causal perspective                   multi-causal perspective
silver bullets                            co-innovations
Examples                                  Examples
    mineral fertiliser                        IPM
    hybrid seed                               models that improve breeding programs
    irrigation technology                     water management in agricultural systems
    farm machinery                            precision farming
    GM technology                             GM crops embedded in production systems
                                              that have gained public acceptance
Science for Society and Policy
 Understanding, creating and
 managing knowledge systems
                Farm and resource
                   management




                   Profitable
                       &
                  sustainable
                   agriculture

 Integrated systems              Well-informed policy
       science                      development
Adaptive systems for a changing world: FSD3 workshop contribution. Meinke

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Adaptive systems for a changing world: FSD3 workshop contribution. Meinke

  • 1. Adaptive Systems for a Changing World FSD3 Workshop Contribution Holger Meinke TIAR – a joint venture of the Tasmanian Government and the University of Tasmania
  • 2. Jacques Diouf, DG, FAO, UN ‘We not only need to grow an extra one billion tonnes of cereals a year by 2050 but we need to do so from a diminishing resource base of land and water in many of the world’s regions, and in an environment increasingly threatened by global warming and climate change’. This means • 1000 million of EXTRA tonnes of grain every year • expand grain production by at least 400 million ha • which is equivalent to 20 times the area currently under production in Australia
  • 3. Characteristics of knowledge embedded technologies provide control over environment non-contextual in time and space derived from traditional, reductionist, disciplinary science with clear problem statements; rarely contested at that level single effects addressing technical problems mono-causal perspective silver bullets Examples mineral fertiliser hybrid seed irrigation technology farm machinery GM technology
  • 4. Characteristics of knowledge intensive technologies improve understanding functions highly contextual in time and space based on interdisciplinary knowledge; account for norms & values that often lead to different problem definitions with the result that every answer can be contested interactions addressing societal problems multi-causal perspective co-innovations Examples IPM models that improve breeding programs water management in agricultural systems precision farming GM crops embedded in production systems that have gained public acceptance
  • 5. Characteristics of knowledge Characteristics of knowledge embedded technologies intensive technologies provide control over environment improve understanding functions non-contextual in time and space highly contextual in time and space derived from traditional, reductionist, based on interdisciplinary knowledge; account for disciplinary science with clear problem norms & values that often lead to different statements; rarely contested at that problem definitions with the result that every level answer can be contested single effects interactions addressing technical problems addressing societal problems mono-causal perspective multi-causal perspective silver bullets co-innovations Examples Examples mineral fertiliser IPM hybrid seed models that improve breeding programs irrigation technology water management in agricultural systems farm machinery precision farming GM technology GM crops embedded in production systems that have gained public acceptance
  • 6. Science for Society and Policy Understanding, creating and managing knowledge systems Farm and resource management Profitable & sustainable agriculture Integrated systems Well-informed policy science development

Editor's Notes

  1. Imagine this: we are talking about 1000 million of EXTRA tonnes of grain every year. If we assume a good Australian average grain yield of 2.5 t / ha this means that we need to expand grain production by at least 400 million ha. Australia is one of the world’s major exporters of grain and our current production area is just over 20 million ha. In order to grow these extra 1,000 million tonnes of grain at current levels of productivity we have to find additional land equivalent to 20 times the area currently under production in Australia. And I am only talking about grain here, not about any of the other sources of food, such as meat, vegetables, fruit etc. Can you imagine the scale of this challenge? Even more importantly, can you imagine what happens if we don’t measure up, if we don’t deliver this extra one billion tonnes of grain?
  2. The next agricultural revolution will be knowledge-based. Tasmania could be at the forefront of this revolution if it chooses to.
  3. The next agricultural revolution will be knowledge-based. Tasmania could be at the forefront of this revolution if it chooses to.
  4. The next agricultural revolution will be knowledge-based. Tasmania could be at the forefront of this revolution if it chooses to.