Ronald Twongyirwe

Dr. Ronald Twongyirwe

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2019 in Weather and Climate Extremes
Verified
Journal Article
Open access
RTRonald Twongyirwe
Ronald Twongyirwe
DMDavid Mfitumukiza
David Mfitumukiza
BBBarasa Bernard
Barasa Bernard
BNBarbara R. Naggayi
Barbara R. Naggayi
HOHannington Odongo
Hannington Odongo
GMGrace Mutoni
Grace Mutoni

1 February 2013 in Geoderma
Verified
Journal Article
Closed access
RTRonald Twongyirwe
Ronald Twongyirwe
DSDouglas Sheil
Douglas Sheil
JMJ.G.M. Majaliwa
J.G.M. Majaliwa
PEP. Ebanyat
P. Ebanyat
MTM.M. Tenywa
M.M. Tenywa
LKLalit Kumar
Lalit Kumar

1 October 2018 in Journal of Rural Studies
Verified
Journal Article
Closed access
RTRonald Twongyirwe
Ronald Twongyirwe
MBMike Bithell
Mike Bithell
KRKeith S. Richards
Keith S. Richards

25 August 2021 in Geographies
Verified
Journal Article
Open access
PDF file
Samuel TumwesigyeSamuel Tumwesigye
Samuel Tumwesigye
Lisa-Marie HemerijckxLisa-Marie Hemerijckx
Lisa-Marie Hemerijckx
AOAlfonse Opio
Alfonse Opio
Jean PoesenJean Poesen
Jean Poesen
MVMatthias Vanmaercke
Matthias Vanmaercke
Anton Van RompaeyAnton Van Rompaey
Anton Van Rompaey
Rural–urban migration in developing countries is considered to be a key process for sustainable development in the coming decades. On the one hand, rural–urban migration can contribute to the socioeconomic development of a country. On the other hand, it also leads to labor transfer, brain-drain in rural areas, and overcrowded cities where planning is lagging behind. In order to get a better insight into the mechanisms of rural–urban migration in developing countries, this paper analyzes motivations for rural–urban migration from the perspective of rural households in Uganda. A total of 1015 rural households located in southwestern Uganda were surveyed in 2019. A total of 48 percent of these households reported having at least one out-migrant. By means of logistic regression modeling, the likelihood for rural out-migration was assessed using household- and community-level socioeconomic characteristics as predictors. The results show that most out-migrants are from relatively wealthy households with a higher-than-average education level. Typically, these households are located in villages that are well connected with urban centers. Poor households in remote locations send significantly fewer migrants because of their limited access to migration information and poor transport networks. From these findings, the following policy recommendations are made: Firstly, efforts should be made to extend basic social services, including quality education, towards rural areas. Secondly, in order to reduce socially disruptive long-distance migration and the eventual overcrowding and sprawls of major cities, government investments should be oriented towards the upgrading of secondary towns, which can offer rural out-migrants rewarding employment and business opportunities.

1 December 2015 in Land Use Policy
Verified
Journal Article
Closed access
RTRonald Twongyirwe
Ronald Twongyirwe
MBMike Bithell
Mike Bithell
KRKeith S. Richards
Keith S. Richards
Gareth ReesGareth Rees
Gareth Rees

1 January 2010 in Applied and Environmental Soil Science
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Journal Article
Open access
PDF file
JMJ. G. M. Majaliwa
J. G. M. Majaliwa
RTRonald Twongyirwe
Ronald Twongyirwe
RNR. Nyenje
R. Nyenje
MOM. Oluka
M. Oluka
BOB. Ongom
B. Ongom
BBB. Barasa
B. Barasa
The change from natural forest cover to tea and Eucalyptus is rampant in protected areas of western Uganda. The objectives were; to examine the trend in land-use /cover change and determine the effect of these changes on the physico-chemical properties of soils around Kibale National Park. The trend in land use/cover change was assessed by analyzing a series of landsat images. Focused group discussions and key informant interviews were used for land-use/cover reconstruction. Three major land uses were included; woodlot (Eucalyptus grandis; 5 years old) ), tea (57 years old) and natural forest used as a control. Each of these land-uses were selected at two different North facing landscape positions and were replicated three times. A total of 36 composite soil samples were taken at 0–15 and 15–30 cm depth from natural forest, Tea plantation and eucalyptus on three ridges. Results showed that small scale farming, tea and eucalyptus plantation and built up area have increased over time, to the expense of woodlot and forest cover. Tea and Eucalyptus have induced changes in: exchangeable Mg and Ca, available P, SOM, pH, and bulk density of sub soil (P<.05). Landscape positions within land use also significantly influenced most soil properties (P<.05). Similar findings were observed by Wang et al. (2006) in commercial tea plantations in China that received nitrogen fertilizers.