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Describing and locating cropping systems on a regional scale. A review

Delphine Leenhardt¹, Frédérique Angevin², Anne Biarnès³, Nathalie Colbach⁴ and Catherine Mignolet⁵

¹ INRA, UMR1248 - AGIR (Agrosystèmes et développement territorial), BP 52627, 31326 Castanet Tolosan Cedex, France
² INRA, UAR1240 Eco-Innov, BP 01, 78850 Thiverval Grignon, France
³ IRD, UMR1221 LISAH, 2 place Viala, 34060 Montpellier, France
⁴ INRA, UMR1210 Biologie et Gestion des Adventices, 17 rue Sully, BP 86510, 21065 Dijon Cedex, France
⁵ INRA, UR55 SAD-Mirecourt, 662 avenue Louis Buffet, 88500 Mirecourt, France

Corresponding author: Delphine.Burger-Leenhardt@toulouse.inra.fr

Accepted: 9 January 2009

Abstract

At regional scale issues such as diffuse pollution, water scarcity and pollen transfer are closely related to the diversity and location of cropping systems because agriculture interacts with many other activities. Although sustainable land use solutions for territorial development and natural resource management are needed, very few agro-environmental studies account for both the coherence and the spatial variability of cropping systems. The originality of this article is to review methods that describe and locate cropping systems within large areas. We mainly based our analysis on four case studies using the concept of cropping systems on a regional scale, but differing in their objectives and extents. We found that describing and locating cropping systems in space meets not only decision-making stakes but also a scientific stake that allows multi-simulations over large areas when models require cropping system information. Simulation models are indeed necessary when the study aims at estimating cropping system externalities. Then, the involved process determines the extent, and the model determines the support unit, unless socio-economic considerations prevail. In this case, as well as when no model is involved, it is often considerations related to stakeholders that determine extent and support unit choices. On a regional scale, the cropping system must be described by only a few variables whose selection depends on the study objective and the involved processes. Collecting cropping system information for all support units is often simplified by identifying determining factors of cropping systems. However, obtaining deterministic relations between easily accessible factors and cropping system variables is not always possible, and sometime accessing modalities of determining factors for all support units is also difficult. We found that describing and locating cropping systems relied very much on expertise and detailed survey data. The development of land management practice monitoring would facilitate this description work.