Cocoa based agroforestry systems enhance carbon storage in deep horizons of Amazonian soils

Abstract Cocoa-based agroforestry systems have the capacity to increase carbon storage in areas degraded by pasture in the Amazon. Therefore, we evaluated the soil carbon storage capacity down to 150 cm depth in cocoa-based agroforestry systems in a deforested Amazonian landscape of Colombia. Each shade tree species (Abarco Cariniana pyriformis , Capirón Calycophyllum spruceanum , Caracolí Anacardium excelsum , and Huito Genipa americana ) were independently combined with cocoa. The performance of these systems was compared with mature forests and degraded pastures taken as references. Soil carbon content was evaluated at five depths (0–30, 30–60, 60–90, 90–120, and 120–150 cm). Carbon fractions were extracted with acid solutions of increasing concentrations and classified accordingly into very labile (VL), labile (L), less labile (LL), and non-labile (NL). The C stock down to 150 cm was maximum in forest (209.6 ± 3.5 Mg C ha −1 ) and decreased from Caracolí (190.2 ± 6.2 Mg C ha −1 ) to Abarco (162.9 ± 2.9 Mg C ha −1 ), Huito (150.5 ± 4.6 Mg C ha −1 ), Capirón (137.1 ± 4.5 Mg C ha −1 ), Full-sun cocoa (135.6 ± 3.5 Mg C ha −1 ), and pasture (110.3 ± 3.9 Mg C ha −1 ). In the 15-year experimental period, cocoa based agroforestry systems enhanced soil carbon contents to values up to 2.73 times the content in the initial degraded pasture, close to the performance of the forest (× 2.96). Huito and Caracolí shade trees were the most efficient at storing carbon in deep soil layers.

Authors

Institutions

Publication Details

Journal
Agroforestry Systems
Published
2025-09-16
DOI
https://doi.org/10.1007/s10457-025-01317-2
Citations
3
Primary Topic
Cocoa and Sweet Potato Agronomy
Type
article
Field-Weighted Citation Impact
8.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cocoa based agroforestry systems enhance carbon storage in deep horizons of Amazonian soils

Patrick Lavelle, Juan Carlos Suárez, Esneider Almario-Cabrera
3 citations
Agroforestry Systems
Cocoa and Sweet Potato Agronomy
8.23
article

Cocoa based agroforestry systems enhance carbon storage in deep horizons of Amazonian soils

Patrick Lavelle, Juan Carlos Suárez, Esneider Almario-Cabrera
article en
3 citations

Abstract

Abstract Cocoa-based agroforestry systems have the capacity to increase carbon storage in areas degraded by pasture in the Amazon. Therefore, we evaluated the soil carbon storage capacity down to 150 cm depth in cocoa-based agroforestry systems in a deforested Amazonian landscape of Colombia. Each shade tree species (Abarco Cariniana pyriformis , Capirón Calycophyllum spruceanum , Caracolí Anacardium excelsum , and Huito Genipa americana ) were independently combined with cocoa. The performance of these systems was compared with mature forests and degraded pastures taken as references. Soil carbon content was evaluated at five depths (0–30, 30–60, 60–90, 90–120, and 120–150 cm). Carbon fractions were extracted with acid solutions of increasing concentrations and classified accordingly into very labile (VL), labile (L), less labile (LL), and non-labile (NL). The C stock down to 150 cm was maximum in forest (209.6 ± 3.5 Mg C ha −1 ) and decreased from Caracolí (190.2 ± 6.2 Mg C ha −1 ) to Abarco (162.9 ± 2.9 Mg C ha −1 ), Huito (150.5 ± 4.6 Mg C ha −1 ), Capirón (137.1 ± 4.5 Mg C ha −1 ), Full-sun cocoa (135.6 ± 3.5 Mg C ha −1 ), and pasture (110.3 ± 3.9 Mg C ha −1 ). In the 15-year experimental period, cocoa based agroforestry systems enhanced soil carbon contents to values up to 2.73 times the content in the initial degraded pasture, close to the performance of the forest (× 2.96). Huito and Caracolí shade trees were the most efficient at storing carbon in deep soil layers.

Agroforestry SystemsVol. 99(8)
Université Sorbonne Nouvelle (FR), Institut d'écologie et des sciences de l'environnement de Paris (FR), Universidad de la Amazonia (CO)
Openalex Percentile: Top 3%
Cocoa and Sweet Potato Agronomy
8.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.