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Redesigning Animal Agriculture

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The Systems<br />

Idea in<br />

<strong>Agriculture</strong><br />

Systems as<br />

ways of being<br />

Systems as<br />

formal entities<br />

Systems as<br />

metaphors<br />

phone methodologies indicated here (Sands,<br />

1986). In a similar vein, systems simulations<br />

can be conducted for at least four distinctly<br />

different purposes (Rykiel, 1984), each of<br />

which demands slightly different methods<br />

of conduct. There is also a variety of methods<br />

within agro-ecological approaches to<br />

agriculture.<br />

A fourth domain of work, associated<br />

with management aids to decision making,<br />

has also been included in this diagram,<br />

with indications of two sources of its origin.<br />

The first identifies it as another branch of<br />

problem-solving applications of the formal<br />

entity systems idea in agriculture, in common<br />

with the work in ‘hard’ and ‘soft’ systems,<br />

while another links it back directly to<br />

the notion of system as a metaphor in contrast<br />

to a formal entity. This ambiguity reflects the<br />

argument that endeavours such as expert systems,<br />

operations research, systems dynamics<br />

and decision support systems are more accurately<br />

regarded as systematic procedures<br />

rather than systemic ones (Jackson, 2000).<br />

A key aspect of that argument relates to the<br />

typical lack of explicit recognition of emer-<br />

A Systemic Perspective 7<br />

3 rd Order<br />

Work in<br />

cognitive<br />

systems<br />

Systemic Development<br />

Systemic Intervention<br />

Total Systems Intervention<br />

Critical Learning Systems<br />

2 nd Order<br />

Theory development<br />

Work in<br />

(enquiring)<br />

Critical Heuristics<br />

Human General systems theory ‘soft systems’<br />

Soft Systems Methodology<br />

chaos, complexity,<br />

Social general evolutionary theories<br />

cybernetics, autopoeisis<br />

panarchy<br />

1 st Order<br />

Natural Work in<br />

Problem solving<br />

applications to ‘real world’<br />

situations<br />

Emergence of<br />

new ‘disciplines’<br />

Application of<br />

systems principles<br />

to support disciplines<br />

economics, agronomy<br />

engineering, entomology<br />

geography, ecology, biology<br />

Systems<br />

Descriptions<br />

Fig. 1.1. The systems movement in agriculture.<br />

agro-ecology<br />

farming systems<br />

systemic agri-science<br />

Agricultural systems<br />

Component<br />

subsystems<br />

(engineered)<br />

‘hard’ systems<br />

Proto-systemics<br />

Work in<br />

management<br />

aids to decision<br />

making<br />

Social Systems Analysis<br />

Agro-ecosystems Analysis<br />

Francophone FSR&D<br />

Anglophone FSR&D<br />

Cropping Systems R&D<br />

System Simulations<br />

Viable Systems<br />

Decision Support Systems<br />

Operations Research<br />

Expert Systems<br />

Systems Dynamics<br />

gent properties in any of this work, while<br />

the notions of boundary and of environmental<br />

embeddedness are also often less than<br />

clearly articulated. Because of these features,<br />

the work in this domain is regarded here as<br />

being proto-systemic, which in no manner is<br />

intended to diminish the importance of the<br />

work, but is introduced simply to classify it<br />

within a ‘systems movement’. The same can<br />

be said for the other areas within the ‘map’<br />

that relate to the expression of system as a<br />

metaphor, with the importance of systems<br />

descriptions and applications to other disciplines<br />

again not to be denied, especially in<br />

the context of a consciousness-raising orientation<br />

to interconnectedness and wholeness,<br />

while nurturing at least a naïve sense<br />

of systemicity.<br />

It must be emphasized that the typology<br />

of systems approaches illustrated here<br />

itself has systemic characteristics! What are<br />

shown as simple linear connections and<br />

causal pathways are in reality much more<br />

interconnected and non- linear than they<br />

appear. Moreover, there are also many interconnections<br />

which are not shown here but

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