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Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR-ICRAF publie chaque année plus de 750 publications sur l’agroforesterie, les forêts et le changement climatique, la restauration des paysages, les droits, la politique forestière et bien d’autres sujets encore, et ce dans plusieurs langues. .

CIFOR-ICRAF s’attaque aux défis et aux opportunités locales tout en apportant des solutions aux problèmes mondiaux concernant les forêts, les paysages, les populations et la planète.

Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

Soil erosion prediction using RUSCLE for central Kenyan highland conditions

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Soil erosion by water is serious global problem. In Africa, about 5 Mg ha1 of productive topsoil is lost to lakes and oceans each year. This study was conducted at the Kianjuki catchment in central Kenya to predict annual soil loss using the Revised Universal Soil Loss Equation (RUSLE Version 1.06) to determine the erosion hazard in the area and target locations for appropriate initiation of conservation measures. All factors used in RUSLE were calculated for the catchment using local data. The rainfall erosivity R-factor was 8527 MJ mm ha1 h1per year and the annual average soil erodibility K-factor was 0.016 Mg h MJ1 mm1. Slopes in the catchment varied between 0 and 53% with steeper slopes having overall LS-values of over 17. The C-factor values were computed from existing cropping patterns in the catchment, including corn–bean (Zea mays–Phaseolus vulgaris) 1-year rotation, coffee (Coffea arabica), and banana (Musa sapientum). Support practice P-factors were from terraces that exist on slopes where coffee is grown. Total annual soil loss predictions varied from one overland flow segment to the next and ranged from 134 Mg ha1 per year for slopes with average LS-factors of 0–10 to 549 Mg ha1 per year for slopes with average LS-factors of 20–30, which is more than the estimated soil loss tolerance (T) for the area of 2.2–10 Mg ha1 per year. Using 3 years of field data, the RUSLE model was able to pinpoint site-specific erosion hazards associated with each overland flow segment in the catchment for different cropping patterns and management practices. This work highlights the severity of erosion in tropical highlands of east Africa and gives suggestions on possible intervention strategies; however, there is still a need for developing more long-term data to validate the model to suit local agro-ecological conditions.

DOI:
https://doi.org/10.1016/S0167-8809(03)00011-2
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