Optimizing coffee yields in agroforestry systems using WaNuLCAS model: A case study in Malang, Indonesia

Authors

  • Ahmad Ali Yuddin Fitra Soil and Water Management Study Program, Faculty of Agriculture, Brawijaya University, Jl. Veteran, Malang 65145, Indonesia https://orcid.org/0009-0001-3658-3290
  • Simon Oakley UK Center of Ecology and Hydrology (UKCEH), Lancaster Environment Centre, Lancaster, United Kingdom https://orcid.org/0000-0002-5757-7420
  • Cahyo Prayogo Lecturer of Soil Science Department, and researcher of Tropical Agroforestry Research Centre, Faculty of Agriculture, Brawijaya University, Indonesia https://orcid.org/0000-0002-8250-4100
  • Rika Ratna Sari Lecturer of Soil Science Department, and researcher of Tropical Agroforestry Research Centre, Faculty of Agriculture, Brawijaya University, Indonesia https://orcid.org/0000-0002-3803-9352
  • Danny Dwi Saputra Lecturer of Soil Science Department, and researcher of Tropical Agroforestry Research Centre, Faculty of Agriculture, Brawijaya University, Indonesia https://orcid.org/0000-0003-1450-0746
  • Rizqi Maulana Ishaq Lecturer of Soil Science Department, and researcher of Tropical Agroforestry Research Centre, Faculty of Agriculture, Brawijaya University, Indonesia https://orcid.org/0000-0002-5811-5199
  • Didik Suprayogo Lecturer of Soil Science Department, and researcher of Tropical Agroforestry Research Centre, Faculty of Agriculture, Brawijaya University, Indonesia

DOI:

https://doi.org/10.15243/jdmlm.2024.114.6337

Keywords:

agroforestry, coffee production, coffee-pine, modeling, WaNuLCAS

Abstract

Agroforestry systems have significant potential for development in increasing coffee production in Indonesia. Besides providing economic benefits, agroforestry can also have ecological impacts, such as improving soil structure, reducing erosion, and other environmental services. There is a complex interaction between trees, soil, and crops in agroforestry systems, making modeling a valuable approach to unraveling these processes. We utilized the spatial and temporal explicit model WaNuLCAS to (i) evaluate the model's performance in depicting actual events (through coffee production and soil water content), (ii) assess the dynamic processes influencing coffee production and the environmental impact of management patterns, (iii) formulate and simulate optimal scenarios for coffee production optimization. Data from a one-year period involving five agroforestry management patterns for coffee-pine in UB Forest were used as input for the model. The model validation results showed satisfactory and acceptable outcomes for coffee production and groundwater dynamics. WaNuLCAS simulation results indicated that pruning and thinning management are crucial factors in increasing coffee production and are related to creating optimal conditions for coffee plants (light, humidity, and inter-plant competition). Additionally, fertilization management can be combined as a supporting factor to meet the nutritional needs of coffee plants. WaNuLCAS simulation results also suggested that pruning and thinning can improve soil physical properties, but thinning increases surface runoff within the system. This research provides insights into how modeling can be used as a decision-making tool.

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Submitted

27-03-2024

Accepted

22-05-2024

Published

01-07-2024

How to Cite

Fitra, A. A. Y., Oakley, S., Prayogo, C., Ratna Sari, R., Saputra, D. D., Ishaq, R. M., & Suprayogo, D. (2024). Optimizing coffee yields in agroforestry systems using WaNuLCAS model: A case study in Malang, Indonesia. Journal of Degraded and Mining Lands Management, 11(4), 6337–6350. https://doi.org/10.15243/jdmlm.2024.114.6337

Issue

Vol. 11 No. 4 (2024)

Section

Research Article

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