Tree diversity and carbon stock dynamics in the coffee-based agroforestry systems of Kodagu, Central Western Ghats of India

Authors

  • Rudragouda Central Coffee Research Institute, Coffee Research Station, Chikkamagaluru- 577117, India; Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga-577204, India
  • G. K. Girijesh Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga-577204, India
  • J. S. Nagaraja Central Coffee Research Institute, Coffee Research Station, Chikkamagaluru- 577117, India
  • H. K. Veeranna Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga-577204, India
  • Adivappar Nagarajappa Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga-577204, India
  • G. M. Devagiri Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga-577204, India
  • Somshekargouda Patil Central Coffee Research Institute, Coffee Research Station, Chikkamagaluru- 577117, India
  • Kishore Mote Central Coffee Research Institute, Coffee Research Station, Chikkamagaluru- 577117, India
  • M. Dinesh Kumar Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga-577204, India

Keywords:

Biodiversity indices, Carbon sequestration, Carbon stock, Coffee agroforestry, Kodagu, Soil organic carbon, Tree diversity

Abstract

In coffee-based agroforestry systems under diverse shade tree patterns in Kodagu, Central Western Ghats, India, tree diversity and carbon stock were investigated in both Coffea arabica and Coffea canephora plantations spanning 4106 km2 during 2023-24 and 2024-25. Six distinct shade patterns in coffee agroforestry systems were identified in this study based on the combination of coffee species and shade-tree composition. Two coffee species (C. arabica and C. canephora) were evaluated under three shade-tree types: native species, mixed species (native + exotic) and exotic species (Grevillea robusta). These six shade patterns were assessed under three management regimes: low, medium, and high. Field enumeration recorded tree density, basal area, species richness and structural attributes using nested sampling approaches. Biodiversity indices such as the Shannon-Wiener index (SWI) and Simpson’s index (SI) evaluated species diversity and dominance, revealing maximum biodiversity in native and mixed shade systems than in exotic species-dominated systems. The carbon stock distribution was studied across above-ground biomass (AGB), below-ground biomass (BGB) and soil organic carbon (SOC). Arabica plantations recorded higher total biomass (362.43 Mg ha-¹) than Robusta (215.50 Mg ha-¹), with native and mixed shade systems outperforming exotic systems. SOC contributed over 50% to the total carbon stock, with significant variations across shade patterns and management regimes. Arabica systems showed higher carbon stock (353.06 Mg ha-¹) and CO₂ sequestration potential (1294.57 Mg C ha-¹) than Robusta systems (272.97 Mg ha-¹ and 1000.88 Mg C ha-¹, respectively). Native and mixed shade systems exhibited superior SOC accumulation and carbon sequestration potential (1212.02 Mg C ha-¹ and 1194.81 Mg C ha-¹) compared to exotic systems (1036.34 Mg C ha-¹). These findings highlight the ecological importance of native and mixed shade systems in enhancing biodiversity, carbon storage and soil health. The study advocates integrating native tree species for long-term sustainability and resilience in coffee agroforestry systems.

Downloads

Download data is not yet available.

Published

24-03-2026
Dimensions Badge

How to Cite

Rudragouda, Girijesh, G. K., Nagaraja, J. S., Veeranna, H. K., Nagarajappa, A., Devagiri, G. M., … Kumar, M. D. (2026). Tree diversity and carbon stock dynamics in the coffee-based agroforestry systems of Kodagu, Central Western Ghats of India. Range Management and Agroforestry, 47(01). Retrieved from https://publications.rmsi.in/index.php/rma/article/view/1330

Issue

Section

Research article

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.