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Spatial trajectories of coffee harvesting in large-scale plantations: Ecological and management drivers and implications

Author

Listed:
  • Mora Van Cauwelaert, Emilio
  • Boyer, Denis
  • Jiménez-Soto, Estelí
  • González, Cecilia
  • Benítez, Mariana

Abstract

Coffee is produced under different management systems and scales of production categorized as Syndromes of Production. The “Capitalist Syndrome” is characterized by large-scale and high-density planting farms that may promote the development of plant pathogens like coffee leaf rust (CLR). Harvesting dynamics are also affected by the syndrome of production and generate spatial trajectories that could contribute to the dispersal of pathogens across and within plantations. However, these spatial trajectories have not yet been described, nor their relationship with the syndrome of production, and even less its potential ecological implications for pathogen dispersal.

Suggested Citation

  • Mora Van Cauwelaert, Emilio & Boyer, Denis & Jiménez-Soto, Estelí & González, Cecilia & Benítez, Mariana, 2024. "Spatial trajectories of coffee harvesting in large-scale plantations: Ecological and management drivers and implications," Agricultural Systems, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:agisys:v:221:y:2024:i:c:s0308521x24002919
    DOI: 10.1016/j.agsy.2024.104141
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    References listed on IDEAS

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    1. Andy Reynolds & Eliane Ceccon & Cristina Baldauf & Tassia Karina Medeiros & Octavio Miramontes, 2018. "Lévy foraging patterns of rural humans," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-16, June.
    2. Gardner, A.S. & Gaston, K.J. & Maclean, I.M.D., 2021. "Combining qualitative and quantitative methodology to assess prospects for novel crops in a warming climate," Agricultural Systems, Elsevier, vol. 190(C).
    3. Mora Van Cauwelaert, Emilio & González González, Cecilia & Boyer, Denis & Hajian-Forooshani, Zachary & Vandermeer, John & Benítez, Mariana, 2023. "Dispersal and plant arrangement condition the timing and magnitude of coffee rust infection," Ecological Modelling, Elsevier, vol. 475(C).
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