Mulching as a strategy to improve soil properties and reduce soil erodibility in coffee farming systems of Rwanda

Nzeyimana, Innocent; Hartemink, Alfred E.; Ritsema, C.J.; Stroosnijder, L.; Lwanga, Esperanza Huerta; Geissen, Violette

doi:10.1016/j.catena.2016.08.034

Cited by 60 publications

(39 citation statements)

References 37 publications

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“…However, the most influencing factor in region I was the soils, followed by topography and climate (Table ). Soil particle size distribution has been found to have an important effect on watershed hydrology (Wang & Shao, ; Zhu et al, ), and high sand fractions can increase the vulnerability of soils to erosion (Nzeyimana et al, ). Moreover, serious the k was consistently associated with high temperature and precipitation in this study, and North Shaanxi has a typical semiarid climate in most areas (e.g., strong summer rains), a very fragile ecosystem (Jia & Shao, ), and low vegetation cover (Wang, ), which drove the high k in region I.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous studies have investigated the effects of land use change and soil characteristics on the k . The k was found to be negatively related to soil organic carbon (SOC) content and soil aggregate stability (Acikgoz et al, ), positively logarithmically related to sediment‐associated available nitrogen losses (Zhang et al, ) and available phosphorus losses (Wang et al, ), and positively related to soil bulk density (BD) and sand and fine sand fractions (Nzeyimana et al, ; Panagos et al, ). Ferreira et al () found that the k had a high correlation with very fine sand and silt and that three areas representative of different land uses (agroforestry grassland, lucerne crop, and olive orchard) exhibited spatial variability in the k in the Alqueva reservoir watershed.…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

et al. 2019

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Soil erosion occurs extensively across China, leading to severe degradation of the land and ecosystem services. However, the spatial and temporal variations in soil erodibility (k) and the distribution of soil erosion across land use types and slopes remain unclear. We synthesized the results from 325 sites published in 152 literatures to analyze the factors affecting the k, such as land use type, climate, topography, soil, and vegetation restoration age. The results showed that areas with slopes >25° had a larger k factor (k = 0.1047) than did those with slope <6° (k = 0.0637) or 6–25° (k = 0.0832). The k from 2006 to 2011 (k = 0.0725) was higher than that from 1999 to 2005 (k = 0.058) and that from 2012 to 2016 (k = 0.0631). The k value initially increased with vegetation restoration age and then gradually decreased. Land use also had an impact on the k factor, with the k factor of cropland (k = 0.0697) being higher than that of grassland (k = 0.0663) but lower than that of forest (k = 0.0967). Across China, North Shaanxi, Heilongjiang, and South Guizhou, which are located in the Loess Plateau in Northwest China, the Black Soil region of Northeast China, and the Karst areas in Southwest China, respectively, were the three most severely eroded regions due to hydraulic erosion, frost‐thaw erosion, and high‐intensity erosion, respectively. Overall, the most important factors affecting the k were soil characteristics, followed by topography and climate. Among them, soil nitrogen and precipitation were the two most critical factors influencing the k.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

et al. 2019

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“…Results of Nzeyimana et al (2017) suggest the use of mulch as one of method to control soil erosion which is a triple win approach. First it increase soil stability through increased resistance to soil detachment as a result of humic acid accumulation from organic matter mineralization, secondly it protect soil from direct raindrops which causes soil detachment and thirdly the improvement of soil fertility through residues decomposition by soil micro organisms.…”

Section: Discussionmentioning

confidence: 99%

“…This is likely contributing to an intense pressure on degradation of natural resources especially land and water. Productivity decline resulting from excessive soil loss occurs everywhere (Roose & Ndayizigiye, 1997) and it is particularly more acute in the highlands of Rwanda (Roose & Ndayizigiye, 1997;Steiner & Drechsel, 1998;Kagabo et al, 2013;Nzeyimana et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Estimation of soil erosion risk, its valuation and economic implications for agricultural production in western part of Rwanda

Kabirigi¹,

Mugambi²,

Musana³

et al. 2017

JEBAS

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Multifunctional soil conservation strategies have the capacity to control soil erosion as well as increase its quality, thus leading to sustained yields as long as planners have knowledge on the severity of soil loss. A comprehensive methodology that integrates Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was adopted to determine the soil erosion vulnerability within Katabuvuga, Nyamyumba and Mukamira watersheds in western part of Rwanda, with the aim of supporting planning of land and water management interventions. The dominant slop class in all watershed was 16-40% covering 50% in Katabuvuga watershed, 43% in Mukamira watershed and 70.6% in Nyamyumba watershed. High erosion risk was recorded in Mukamira (72 %) and it was followed by Nyamyumba (46 %). The average soil loss in selected watersheds was 32t/ha/year. Among the various studied watershed, highest average loss was reported in Nyamyumba watershed (37t/ha/year) while the lowest average was in Mukamira watershed (28t/ha/year). Soil loss was higher in cropland and lower in settlement. The average loss of nutrients was 1705 kg/ha/year of carbon, 155 kg/ha/year of nitrogen, 3 kg/ha/year of phosphurus and 111 kg/ha/year of potassium, the highest nutrient loss occurred in cropland. Based on the cost of NPK the average value of N lost per ha per year is 167507 Rwandan Francs (Rwf) while the value of P and K loss per ha per year is 3309 Rwf and 120189 Rwf respectively.

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“…Mulching was adopted as a strategy to buffer soil temperature, reduce water evaporation, prevent weed growth [8][9][10] and improve production by enhancing soil quality [11][12][13]. Research showed that shoot bud differentiation was closely related to soil temperature [6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Soil Degradation Causes in Phyllostachys edulis Forests with Different Mulching Years

Zhao

Wang

et al. 2018

Forests

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Moso bamboo (Phyllostachys edulis (Carrière) J.Houz.) is famous for its fast growth and biomass accumulation, as well as high annual output for timber and bamboo shoots. Organic mulches are widely used to improve shoots' production in moso bamboo forests. However, continuous mulching management may cause bamboo forest degradation and affect sustainable development. The objective of this study was to identify the degradation mechanism and to provide a theoretical basis for recovery. A complete randomized block design with four treatments was conducted, including mulching for one year (M1), two years (M2), three years (M3) and no-mulching management (NM). Soil nutrient contents, enzyme activities and microbial biomass were determined. With the increase of mulching years, the soil pH value gradually reduced, causing soil acidification, but the content of soil organic matter was inclined to ascend. Soil total nitrogen (TN), total phosphorus (TP) and total potassium (TK) contents showed an increasing trend, and they were significantly higher in mulching stands than those in NM (p < 0.05). Contents of soil available nutrients (AN, AP and AK) increased, then decreased with the increase of mulching years and peaked in M1. With the increase of mulching years, the soil stoichiometry ratio (C/N, C/P and N/P) gradually increased. Soil invertase, urease and acid phosphatase activities presented a single-peak curve and reached the maximum within one year after mulching. Total microbial biomass and that of individual groups changed greatly after mulching. Soil microbial biomass increased first and then decreased, and it was the largest in M1. The fungi:bacteria ratio decreased in the first year and then began to rise, while the aerobic:anaerobic ratio showed the opposite trend. According to the overall results, M3 leads to soil acidification, imbalance of the nutrients' proportion, abnormal enzyme activity and change of soil microbial flora, and rotated mulching management (mulching one year and then recuperating one year) should be recommended in practice.

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Mulching as a strategy to improve soil properties and reduce soil erodibility in coffee farming systems of Rwanda

Cited by 60 publications

References 37 publications

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

Factors Affecting the Spatial and Temporal Variations in Soil Erodibility of China

Estimation of soil erosion risk, its valuation and economic implications for agricultural production in western part of Rwanda

Analysis of Soil Degradation Causes in Phyllostachys edulis Forests with Different Mulching Years

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