Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics

• Published in: Journal of arid environments 2023-11, Vol.218, p.105051, Article 105051
• Main Authors: Karlson, Martin, Bolin, David, Bazié, Hugues Roméo, Ouedraogo, Abraham Sotongo, Soro, Boukary, Sanou, Josias, Bayala, Jules, Ostwald, Madelene
• Format: Article
• Language: English
• Subjects: Agroforestry; Landscape; Remote sensing; Smallholder agriculture; Tree-crop interactions; Vitellaria paradoxa
• ISSN: 0140-1963; 1095-922X; 1095-922X
• DOI: 10.1016/j.jaridenv.2023.105051

Trees in agroforestry parklands influence crops both through competitive and facilitative mechanism, but the effects are challenging to disentangle due to the complexity of the system with high variability in tree cover structure and species diversity and crop combinations. Focusing on a landscape in central Burkina Faso dominated by Vitellaria paradoxa and Parkia biglobosa, this paper examines how tree cover influences crop yield at landscape scale using satellite data and spatial statistics. Our analysis is based on data from 2017 to 2018 with differences in rainfall to assess the stability in identified relationships. Our findings showed that tree canopy cover and tree density inside the fields tended to decrease crop yield because of competition, but also that these variables when considering the surrounding landscape exerted an opposite effect because of their buffering effects. The explanatory variables representing soil properties did have limited effects on crop yield in this study. These patterns were consistent during the two years of monitoring. Overall, our results suggest that farmers in this area might manage the tree cover in a way that optimizes sustainable yields as canopy cover and tree density in most parklands is below the limits identified here where competition outweight the facilitative effects. •We studied causes of crop yield variability in parklands at landscape scale.•Satellite remote sensing and field data was used in spatial statistics.•Trees in agricultural fields tend to reduce crop yield through resource competition.•Surrounding trees had positive influence on crop yield via buffering effects.•Fewer large trees have more positive influence on crop yield than many small ones.