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Replication Data for: Landscape approach to assess key soil functional properties in the highlands of Cameroon

Understanding spatial variability of soil properties is essential to support land management decisions. However, despite the growing worldwide emphasis on integrated landscape management, soil variations resulting from land use changes have rarely been documented. The study used the land health surveillance concept in combination with simple geostatistical approaches to describe key soil properties among land use types and characterize their spatial variability in the highlands of Cameroon. A total of 320 soil samples were collected in two sites with contrasting land uses (agricultural and pasture) and were analyzed for granulometric fraction, soil organic carbon (SOC), nitrogen (N), soil reaction (pH), phosphorous (P), calcium (Ca), potassium (K), magnesium (Mg), aluminum (Al) and zinc (Zn). The spatial correlations between the soil properties revealed the factors responsible for the observed differences and showed that wide ranges were obtained in agricultural site as opposed to pasture. SOC and N decreased in the order of forest > grassland > fallow > croplands > pasture due to inherent soil properties, anthropogenic activities, land cover/land use and topographic factors. Kriged maps provided detailed visualization of soil properties at landscape scale, and helped to identify critical areas for targeted land management interventions to improve land quality. The spatial distribution of selected soil properties showed a well-defined pattern of higher concentrations in the lowlands and valleys and areas with permanent vegetation cover in both sites. These results are useful for improving the efficient use of inputs such fertilizers. Context-specific land management based on spatial variability of soil properties is highly recommended and more research is required to generalize our knowledge about spatial variability of soil health indicators and the casual factors in the highlands of Cameroon.

Dataset's Files

0.Disclaimer.pdf
MD5: 0657d47f2642ffce407945ef009a7753


Soil Prop Results.xlsx
MD5: e38d0253abc1add856f95664466bb227


Terms of use
This dataset is made available under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). The license allows you, the user, to copy and redistribute the material in any medium or format and/or transform, and build upon the material for any purpose, even commercially.
Creative Commons License.
Authors

Takoutsing, Bertin ; Martín, Jose Antonio Rodríguez ; Weber, John C. ; Shepherd, Keith ; Sila, Andrew ; Tondoh, Jerome

Keywords

spatial variation, soil health indicators, land health surveillance, geostatistics, mid infrared, site specific management, soil analysis, soil chemical properties, soil chemistry, soil sciences

Publisher

World Agroforestry (ICRAF)

Publication date

11 Feb 2020

DOI

https://doi.org/10.34725/DVN/JDLCYF

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