Maps of major soil parameters: A reference for monitoring soil fertility in Burundi

Soil fertility is a key factor for ensuring both the quantity and quality of agricultural production. To evaluate the fertility level, 1,377 soil samples were collected and analyzed from six AgroEcological Zones (AEZs) across Burundi. These samples were collected during June—July 2021 using a 4 km grid mesh. The geographical coordinates of each sampling point were recorded. The analyzed parameters included pH (water), soil organic carbon (SOC), total nitrogen (N), available phosphorus (P), exchangeable potassium (K), calcium (Ca), and magnesium (Mg). Fertility maps were developed using the Inverse Distance Weighting (IDW) method with sampling density of 0.25 samples/km2.Comparison of means were performed using Tukey’s test. Results showed significant differences soil parameters across AEZs. More than 73% of soils in all AEZs were highly acidic, 99% had low phosphorus availability and 53% had low potassium levels. Among AEZs, Congo-Nile Crest had the highest percentage of SOC and N, Imbo plain and North depressions had higher content of Ca, Mg. The spatial distribution of these parameters was heterogeneous, with strong variations even between nearby points within the same AEZ. This heterogeneity limits the possibility of providing general fertilization recommendations per AEZ, necessitating adaptations at the farm or low subdivision level.

Authors

Institutions

Publication Details

Journal
Sustainable Environment
Published
2025-07-04
DOI
https://doi.org/10.1080/27658511.2025.2521932
Citations
1
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maps of major soil parameters: A reference for monitoring soil fertility in Burundi

Marcien Sendegeya, Soter Ndihokubwayo, Privat Ndayihanzamaso, Samson Musonerimana et al.
1 citations
Sustainable Environment
Soil and Land Suitability Analysis
2.42
article

Maps of major soil parameters: A reference for monitoring soil fertility in Burundi

Marcien Sendegeya, Soter Ndihokubwayo, Privat Ndayihanzamaso, Samson Musonerimana, E.P. Semenova, Marie Chantal Niyuhire, Anaclet Nibasumba, KABONEKA Salvator, Micael Beun, Niyonkuru Anicet, Oscar Nduwimana
article en
1 citations

Abstract

Soil fertility is a key factor for ensuring both the quantity and quality of agricultural production. To evaluate the fertility level, 1,377 soil samples were collected and analyzed from six AgroEcological Zones (AEZs) across Burundi. These samples were collected during June—July 2021 using a 4 km grid mesh. The geographical coordinates of each sampling point were recorded. The analyzed parameters included pH (water), soil organic carbon (SOC), total nitrogen (N), available phosphorus (P), exchangeable potassium (K), calcium (Ca), and magnesium (Mg). Fertility maps were developed using the Inverse Distance Weighting (IDW) method with sampling density of 0.25 samples/km2.Comparison of means were performed using Tukey’s test. Results showed significant differences soil parameters across AEZs. More than 73% of soils in all AEZs were highly acidic, 99% had low phosphorus availability and 53% had low potassium levels. Among AEZs, Congo-Nile Crest had the highest percentage of SOC and N, Imbo plain and North depressions had higher content of Ca, Mg. The spatial distribution of these parameters was heterogeneous, with strong variations even between nearby points within the same AEZ. This heterogeneity limits the possibility of providing general fertilization recommendations per AEZ, necessitating adaptations at the farm or low subdivision level.

Sustainable EnvironmentVol. 11(1)
International Fertilizer Development Center (US), Université du Burundi (BI), Institut des Sciences Agronomiques du Burundi (BI)
Zero hunger
Openalex Percentile: Top 11%
Soil and Land Suitability Analysis
2.42
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.