Impact of farmland fragmentation on rainfed crop allocation in Mediterranean landscapes: A case study of the Lebna watershed in Cap Bon, Tunisia

• Published in: Land use policy 2018-06, Vol.75, p.772-783
• Main Authors: Mekki, Insaf, Bailly, Jean Stéphane, Jacob, Frédéric, Chebbi, Hichem, Ajmi, Tarek, Blanca, Yves, Zairi, Abdelaziz, Biarnès, Anne
• Format: Article
• Language: English
• Subjects: Access roads; Agricultural ecosystems; Agricultural land; Agricultural sciences; Agronomy; Applications; Case studies; Cereals; Collective rules; Crop management; Cropping sequence; Cropping systems; Crops; Data analysis; Data processing; Decision analysis; Decision making; Discriminant analysis; Ecosystem services; Ecosystems; Environmental Sciences; Farm management; Farmers; Fodder; Fragmentation; Global Changes; Isolated/non-isolated farm fields; Land use; Landscape; Landscape ecology; Legumes; Life Sciences; Livestock; Machine Learning; Neighbouring effects; Open fields; Rain; Rainfed agrosystems; Rules; Services; Sheep; Soil study; Spatial analysis; Spatial data; Spatial distribution; Spatial distribution of crops; Spices; Statistics; Succession of crops; Temporal distribution; Topography; Watersheds
• ISSN: 0264-8377; 1873-5754
• DOI: 10.1016/j.landusepol.2018.04.004

[Display omitted] •We quantified the impact of crop sequences and neighboring crops on crop allocation.•We addressed this issue within a highly fragmented Mediterranean rainfed landscape.•For isolated fields, both crop sequences and neighboring crops drive crop allocation.•For non-isolated fields, crop allocation is mainly driven by crop sequences.•Farmers rely on collective rules of crop allocation to address common constraints. Mediterranean agricultural landscapes provide ecosystem services and disservices that are driven by land use pattern dynamics, the latter of which results from the crop spatiotemporal distribution. Farmland fragmentation is known to be a driver of crop management and farm performance. However, existing studies on farmland fragmentation have not addressed the impact of farmland fragmentation and the subsequent neighbouring interactions on decision-making about annual crop allocation. Therefore, the current study aims to explore how much farmland fragmentation can drive the decisions made by farmer about annual crop allocation by characterizing and quantifying the influences of both crop sequences and neighbouring crops at the field scale. We addressed this issue within the Lebna watershed (210 km² size, located on the Cap Bon Peninsula in Tunisia), which is typified by a hilly topography, rainfed mixed farming (cereals, fodder, legumes, spices) and livestock (cattle, sheep and goat), and strong farmland fragmentation. The experimental phases consisted of conducting 30 farmer interviews and collecting data regarding the field spatial distribution for a total number of 360 fields in 2015 and 355 fields in 2016, hereafter called farmer fields. We also recorded (1) crop types for the farmer fields in 2015 and 2016 and (2) land uses (including crop types) in the neighbouring pieces of land in 2016. Data analysis relied on differentiating the farmer fields between isolated and non-isolated fields. Isolation/non-isolation depended upon farmland fragmentation and field dispersion relative to the other farm fields and to the farmstead. Using univariate and linear discriminant analysis on both crop sequences and neighbouring crops, data analysis revealed a significant effect of farmland fragmentation on farmer decision-making regarding crop allocation. When fields are isolated (fragmented farmlands), farmers implement with some of their neighbours, collective rules of crop allocation that permit the management of common constraints, such as