Agroecosystems with greater canopy cover increase soil organic carbon density and reduce soil erodibility in the Peruvian Amazon

Introduction Soil degradation in tropical agricultural landscapes represents one of the major challenges for sustainability and food security, particularly in the Peruvian Amazon. In this region, the loss of vegetative cover alters carbon storage and increases vulnerability to erosion. This study evaluated how gradients of canopy structure in representative agroecosystems—cassava with no canopy (CV-S), oil palm with intermediate canopy density (OP-S), cacao with medium-density canopy (CC-S), and coffee with high-density canopy (CF-S)—influence soil organic carbon density (SOCD) and erodibility (K factor). Methods A total of 1,049 soil samples (0–20 cm) were collected across three Amazonian regions and analyzed for their physical, chemical, and textural properties, complemented by multivariate and geostatistical analyses using ordinary kriging. Results Results showed that SOCD increased consistently with canopy density, from 32.68 t C ha -1 in CV-S to 82.64 t C ha -1 in CF-S. The Factor K exhibited the opposite pattern, decreasing from 0.31 to 0.16 as tree cover increased, indicating greater resistance to erosion. Erodibility was primarily determined by soil texture, with a strong positive correlation associated to silt content (r = 0.89) and a negative with sand content (r = –0.74). Likewise, SOCD showed a very high correlation with total nitrogen (r = 0.96), reflecting a tight coupling between carbon accumulation and nutrient availability under denser canopies. Principal component analysis further revealed that dense-canopy systems are related to higher SOCD and total nitrogen, whereas canopy-free systems are linked to higher bulk density and greater susceptibility to erosion. Discussion Spatial modeling showed that agroecosystems with more developed canopies exhibit better spatial structure and predictive performance, indicating a more stable edaphic organization under dense tree cover. Taken together, the results demonstrate that canopy structure functions as a key ecological regulator in Amazonian agroecosystems, with higher canopy cover promoting greater soil carbon accumulation while reducing soil erodibility. This highlights that dense-canopy systems, such as coffee and cacao, represent effective strategies to strengthen the sustainability and resilience of agricultural landscapes in the Peruvian Amazon.

Authors

Institutions

Publication Details

Journal
Frontiers in Agronomy
Published
2026-03-11
DOI
https://doi.org/10.3389/fagro.2026.1769313
Primary Topic
Cocoa and Sweet Potato Agronomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agroecosystems with greater canopy cover increase soil organic carbon density and reduce soil erodibility in the Peruvian Amazon

J. Luis González Cruz, Rodolfo Chuchon-Remon, Richard Solórzano, Geomar Vallejos-Torres
Frontiers in Agronomy
Cocoa and Sweet Potato Agronomy
article

Agroecosystems with greater canopy cover increase soil organic carbon density and reduce soil erodibility in the Peruvian Amazon

J. Luis González Cruz, Rodolfo Chuchon-Remon, Richard Solórzano, Geomar Vallejos-Torres
article en

Abstract

Introduction Soil degradation in tropical agricultural landscapes represents one of the major challenges for sustainability and food security, particularly in the Peruvian Amazon. In this region, the loss of vegetative cover alters carbon storage and increases vulnerability to erosion. This study evaluated how gradients of canopy structure in representative agroecosystems—cassava with no canopy (CV-S), oil palm with intermediate canopy density (OP-S), cacao with medium-density canopy (CC-S), and coffee with high-density canopy (CF-S)—influence soil organic carbon density (SOCD) and erodibility (K factor). Methods A total of 1,049 soil samples (0–20 cm) were collected across three Amazonian regions and analyzed for their physical, chemical, and textural properties, complemented by multivariate and geostatistical analyses using ordinary kriging. Results Results showed that SOCD increased consistently with canopy density, from 32.68 t C ha -1 in CV-S to 82.64 t C ha -1 in CF-S. The Factor K exhibited the opposite pattern, decreasing from 0.31 to 0.16 as tree cover increased, indicating greater resistance to erosion. Erodibility was primarily determined by soil texture, with a strong positive correlation associated to silt content (r = 0.89) and a negative with sand content (r = –0.74). Likewise, SOCD showed a very high correlation with total nitrogen (r = 0.96), reflecting a tight coupling between carbon accumulation and nutrient availability under denser canopies. Principal component analysis further revealed that dense-canopy systems are related to higher SOCD and total nitrogen, whereas canopy-free systems are linked to higher bulk density and greater susceptibility to erosion. Discussion Spatial modeling showed that agroecosystems with more developed canopies exhibit better spatial structure and predictive performance, indicating a more stable edaphic organization under dense tree cover. Taken together, the results demonstrate that canopy structure functions as a key ecological regulator in Amazonian agroecosystems, with higher canopy cover promoting greater soil carbon accumulation while reducing soil erodibility. This highlights that dense-canopy systems, such as coffee and cacao, represent effective strategies to strengthen the sustainability and resilience of agricultural landscapes in the Peruvian Amazon.

Frontiers in AgronomyVol. 8
National Agrarian University (NI), Instituto Nacional de Investigação Agrária e Veterinária (PT), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (ES), Universidad Nacional de San Martín (PE)
Zero hunger
Openalex Percentile: Top 21%
Cocoa and Sweet Potato Agronomy
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.