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Farming system design for innovative crop-livestock integration in Europe

Published online by Cambridge University Press:  20 May 2014

M. Moraine*
Affiliation:
INRA, UMR 1248 AGIR, F-31320 Castanet-Tolosan, France
M. Duru
Affiliation:
INRA, UMR 1248 AGIR, F-31320 Castanet-Tolosan, France
P. Nicholas
Affiliation:
Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3EE, UK
P. Leterme
Affiliation:
INRA, Agrocampus, UMR 1069 SAS, F-35042 Rennes, France
O. Therond
Affiliation:
INRA, UMR 1248 AGIR, F-31320 Castanet-Tolosan, France

Abstract

The development of integrated crop–livestock systems (ICLS) is a major challenge for the ecological modernisation of agriculture but appears difficult to implement at a large scale. A participatory method for ICLS design has been developed and implemented in 15 case studies across Europe, representing a range of production systems, challenges, constraints and resources for innovation. Local stakeholders, primarily farmers, but also cooperatives, environmental-association representatives and natural-resource managers, were involved in the identification of challenges and existing initiatives of crop-livestock integration; in the design of new options at field, farm and territory levels; and then in qualitative multicriteria assessment of these options. A conceptual framework based on a conceptual model (crops, grasslands, animals) was developed to act as a boundary object in the design step and invite innovative thinking in ‘metabolic’ and ‘ecosystemic’ approaches. A diversity of crops and grasslands interacting with animals appeared central for designing sustainable farming systems at the territory level, providing and benefitting from ecosystem services. Within this diversity, we define three types of integrated systems according to their degrees of spatial and temporal coordination: complementarity, local synergy, territorial synergy. Moreover, the options for cooperation and collective organisation between farmers and other stakeholders in territories to organise and manage this diversity of land use revealed opportunities for smart social innovation. The qualitative multicriteria assessment identified farmer workload as the main issue of concern while demonstrating expected benefits of ICLS simultaneously for economic, agronomic, environmental and social criteria. This study concludes that participatory design of ICLS based on a generic multi-level and multi-domain framework and a methodology to deal with a local context can identify new systems to be tested. Further assessment and redesign work will be performed in later stages of the European FP7 CANTOGETHER project.

Information

Type
Research Article
Copyright
© The Animal Consortium 2014 
Figure 0

Table 1 Summary of type of integration and main adaptation options designed in each case study (CS)

Figure 1

Table 2 Type of innovation encountered in adaptation options in light design

Figure 2

Figure 1 Representation of adaptation options in case study (CS) E6 (San Giuliano, Italy). Ovals represent ecological and social components. Overlapping areas represent spatial (at farm or territorial levels) and temporal interactions between these components. Straight arrows represent material flows: orange for feedstuffs and animal products, green for grassland-based forage, blue for cash and forage field crops, red for animal manure, thick black for energy and thin black for residues from biogas production. Curved green arrows represent ecosystem services. Purple ovals represent stakeholders involved in the CS. Purple arrows represent coordination and services exchanged between stakeholders.

Figure 3

Figure 2 Representation of adaptation options in case study C14-15 (Aragon, Spain).

Figure 4

Figure 3 Representation of adaptation options in case study C4 (Winterswijk, Netherlands).

Figure 5

Table 3 Ratings of synthetic criteria of multi-criteria assessment for the designed scenario of crop-livestock integration in case studies

Supplementary material: File

Moraine Supplementary Material

Table S1 and Table S2

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