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Dive into the research topics where Alphonse Kayiranga is active.

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Featured researches published by Alphonse Kayiranga.


Remote Sensing | 2016

Understanding the Spatial Temporal Vegetation Dynamics in Rwanda

Felix Ndayisaba; Hao Guo; Anming Bao; Hui Guo; Fidele Karamage; Alphonse Kayiranga

Knowledge of current vegetation dynamics and an ability to make accurate predictions of ecological changes are essential for minimizing food scarcity in developing countries. Vegetation trends are also closely related to sustainability issues, such as management of conservation areas and wildlife habitats. In this study, AVHRR and MODIS NDVI datasets have been used to assess the spatial temporal dynamics of vegetation greenness in Rwanda under the contrasting trends of precipitation, for the period starting from 1990 to 2014, and for the first growing season (season A). Based on regression analysis and the Hurst exponent index methods, we have investigated the spatial temporal characteristics and the interrelationships between vegetation greenness and precipitation in light of NDVI and gridded meteorological datasets. The findings revealed that the vegetation cover was characterized by an increasing trend of a maximum annual change rate of 0.043. The results also suggest that 81.3% of the country’s vegetation has improved throughout the study period, while 14.1% of the country’s vegetation degraded, from slight (7.5%) to substantial (6.6%) deterioration. Most pixels with severe degradation were found in Kigali city and the Eastern Province. The analysis of changes per vegetation type highlighted that five types of vegetation are seriously endangered: The “mosaic grassland/forest or shrubland” was severely degraded, followed by “sparse vegetation,” “grassland or woody vegetation regularly flooded on water logged soil,” “artificial surfaces” and “broadleaved forest regularly flooded.” The Hurst exponent results indicated that the vegetation trend was consistent, with a sustainable area percentage of 40.16%, unsustainable area of 1.67% and an unpredictable area of 58.17%. This study will provide government and local authorities with valuable information for improving efficiency in the recently targeted countrywide efforts of environmental protection and regeneration.


International Journal of Environmental Research and Public Health | 2016

USLE-Based Assessment of Soil Erosion by Water in the Nyabarongo River Catchment, Rwanda

Fidele Karamage; Chi Zhang; Alphonse Kayiranga; Hua Shao; Xia Fang; Felix Ndayisaba; Lamek Nahayo; Christophe Mupenzi; Guangjin Tian

Soil erosion has become a serious problem in recent decades due to unhalted trends of unsustainable land use practices. Assessment of soil erosion is a prominent tool in planning and conservation of soil and water resource ecosystems. The Universal Soil Loss Equation (USLE) was applied to Nyabarongo River Catchment that drains about 8413.75 km2 (33%) of the total Rwanda coverage and a small part of the Southern Uganda (about 64.50 km2) using Geographic Information Systems (GIS) and Remote Sensing technologies. The estimated total annual actual soil loss was approximately estimated at 409 million tons with a mean erosion rate of 490 t·ha−1·y−1 (i.e., 32.67 mm·y−1). The cropland that occupied 74.85% of the total catchment presented a mean erosion rate of 618 t·ha−1·y−1 (i.e., 41.20 mm·y−1) and was responsible for 95.8% of total annual soil loss. Emergency soil erosion control is required with a priority accorded to cropland area of 173,244 ha, which is extremely exposed to actual soil erosion rate of 2222 t·ha−1·y−1 (i.e., 148.13 mm·y−1) and contributed to 96.2% of the total extreme soil loss in the catchment. According to this study, terracing cultivation method could reduce the current erosion rate in cropland areas by about 78%. Therefore, the present study suggests the catchment management by constructing check dams, terracing, agroforestry and reforestation of highly exposed areas as suitable measures for erosion and water pollution control within the Nyabarongo River Catchment and in other regions facing the same problems.


African Journal of Agricultural Research | 2016

Agricultural impact on environment and counter measures in Rwanda

Lamek Nahayo; Lanhai Li; Alphonse Kayiranga; Fidele Karamage; Christophe Mupenzi; Felix Ndayisaba; Enan Muhire Nyesheja

Rapid intensive agriculture often generates serious environmental concerns including soil erosion, water pollution and greenhouses gases. This paper assesses the impact of agriculture and its practices on environment in Rwanda from 1990 to 2012. Data provided by the World Bank were analyzed with Origin Pro 9 for statistical analysis. Also, a review on physical-chemical parameters and heavy metals of water resources home to or surrounded by cultivated mountains was adopted in this study. The results showed that agricultural records decreased from 1990 to 1994. However, after then, the short season cropland like cereals increased from 7.04 to 17.45%; roots and tubers increased from 13.17 to 21.69% in 1995 and 2012, respectively, whilst permanent cropland remained constant at 10.13%. As Rwandan soil is almost steep slope, this heavily exposes the soil to erosion, fertility loss and landslides as permanent crops to enhance fertility and erosion control are decreasing. Also, fertilizers increased from 2,149 to 27,748 tons, irrigation spaced from 4,000 to 10,000 ha which can be the reasons of rise of agricultural emissions. The reviewed studies estimated high concentration of the total nitrogen, total suspended solids, manganese, lead and iron exceeding the standards of the European Union and World Health Organization. From the above findings, it is suggested to regularly monitor water quality and promote its purification measures, to fertilize and irrigate timely and appropriately, expand areas under agroforestry and permanent crops, promote bench terraces practices for durable soil erosion control and water quality in Rwanda. Key words: Agriculture, environment, Rwanda, soil erosion, water pollution.


Natural Hazards | 2017

Early alert and community involvement: approach for disaster risk reduction in Rwanda

Lamek Nahayo; Christophe Mupenzi; Alphonse Kayiranga; Fidele Karamage; Felix Ndayisaba; Enan Muhire Nyesheja; Lanhai Li

Natural disasters’ socioeconomic and environmental losses are predicted to rise, unless early warning, full stakeholders and community involvement in the mitigation, adaptation and risk reduction are squarely engaged. The objective of this study is to assess the impact of early alert and community involvement in disaster risk reduction in Nyabihu District, Western Rwanda. A quota sampling method was employed to obtain a sample of 240 households from 12 sectors of Nyabihu District in 2015. A structured questionnaire was used, and the field data collected were computed by using SPSS16.0 for Windows. The results indicated that, as stated by respondents, the frequently experienced disasters are floods (51.25%) and landslides (42.08%). However, as asserted by 68% of informants, disaster-related information is communicated through radio channels after the occurrence, while 29% of them declared that disaster information is disseminated before occurrence, which implies the rising level of risk vulnerability and incidences to the community due to lack of early warning. A lower community participation in disaster risk preparedness and mitigation was noticed (6.2%) while 31.6% mentioned taking part in activities aimed at coping with the aftermath (adaptation). Moreover, disaster risk reduction government policies are preferentially implemented (42.9%) other than considering the community’s knowledge (14.1%). To halt the gradual increase in disasters’ associated risks and losses, it is suggested to introduce disaster-related training across the community, introduce disaster courses from elementary schools and integrate the community in decision-making process.


Sustainability | 2016

Extent of Cropland and Related Soil Erosion Risk in Rwanda

Fidele Karamage; Chi Zhang; Felix Ndayisaba; Hua Shao; Alphonse Kayiranga; Xia Fang; Lamek Nahayo; Enan Muhire Nyesheja; Guangjin Tian


Forests | 2016

Deforestation Effects on Soil Erosion in the Lake Kivu Basin, D.R. Congo-Rwanda

Fidele Karamage; Hua Shao; Xi Chen; Felix Ndayisaba; Lamek Nahayo; Alphonse Kayiranga; James Omifolaji; Tong Liu; Chi Zhang


Water | 2017

Modeling Rainfall-Runoff Response to Land Use and Land Cover Change in Rwanda (1990–2016)

Fidele Karamage; Chi Zhang; Xia Fang; Tong Liu; Felix Ndayisaba; Lamek Nahayo; Alphonse Kayiranga; Jean Nsengiyumva


Journal of Geoscience and Environment Protection | 2016

Monitoring Forest Cover Change and Fragmentation Using Remote Sensing and Landscape Metrics in Nyungwe-Kibira Park

Alphonse Kayiranga; Alishir Kurban; Felix Ndayisaba; Lamek Nahayo; Fidele Karamage; Abdimijit Ablekim; Haiwen Li; Osman Ilniyaz


Sustainability | 2017

Mapping and Monitoring the Akagera Wetland in Rwanda

Felix Ndayisaba; Lamek Nahayo; Hao Guo; Anming Bao; Alphonse Kayiranga; Fidele Karamage; Enan Muhire Nyesheja


Journal of Geoscience and Environment Protection | 2016

The Need for Awareness of Drinking Water Loss Reduction for Sustainable Water Resource Management in Rwanda

Fidele Karamage; Chi Zhang; Felix Ndayisaba; Lamek Nahayo; Alphonse Kayiranga; James Omifolaji; Hua Shao; Alice Umuhoza; Jean Nsengiyumva; Tong Liu

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Felix Ndayisaba

Chinese Academy of Sciences

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Fidele Karamage

Chinese Academy of Sciences

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Lamek Nahayo

Chinese Academy of Sciences

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Christophe Mupenzi

Chinese Academy of Sciences

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Anming Bao

Chinese Academy of Sciences

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Hao Guo

Chinese Academy of Sciences

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Lanhai Li

Chinese Academy of Sciences

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Abdimijit Ablekim

Xinjiang Normal University

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Alishir Kurban

Chinese Academy of Sciences

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