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Pedon 23 - Physical Land Resources - Universiteit Gent

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STUDENTS, RESEARCH FELLOWS & TRAINEES<br />

Mr. Maingu Juma (Tanzania)<br />

B.Sc. Agricultural Engineering<br />

Sokoine University of<br />

Agriculture<br />

E-mail: jmaingu@vub.ac.be<br />

Mr. Opolot Emmanuel<br />

(Uganda)<br />

B.Sc. Agricultural <strong>Land</strong> Use<br />

and Management<br />

Makerere University, Kampala<br />

E-mail:<br />

Emmanuel.Opolot@vub.ac.be<br />

Mr. Sido Erkeno Yohannes<br />

(Ethiopia)<br />

B.Sc. Civil Engineering<br />

Bahir Dar University<br />

E-mail: erkesido@vub.ac.be<br />

M.Sc. promoted 2011<br />

<strong>Physical</strong> <strong>Land</strong> <strong>Resources</strong><br />

Option:<br />

Soil Science<br />

Ms. Okky AMALIA (Indonesia)<br />

Soil quality under organic and conventional farming<br />

systems in West and Central Java<br />

Promoter: S. De Neve<br />

Contact address: Jl. Jenderal Sudirman Gg.<br />

Sasmitapura 93/8C, 40181 Bandung, Indonesia<br />

Abstract:<br />

A comparative study of organic and conventional farming systems<br />

both in paddy and vegetable fields was conducted in West and Central<br />

Java, Indonesia, to determine the effect of management practices on<br />

soil quality. Parameters measured were SOC, total N, nutrient<br />

availability, enzyme activities, MBC and PLFA. A negative impact of<br />

inorganic fertilizer on soil pH was observed. Result showed all enzyme<br />

activities, MBC and PLFA correlated with SOC and total N in paddy<br />

fields, while correlations of β-glucosidase and β-glucosaminidase with<br />

MBC and PLFA were observed in vegetable fields. SOC and total N<br />

combining with β-glucosidase, MBC and PLFA appears to be<br />

particularly suited indicators to determine management practices<br />

impact on soil quality in paddy fields, while in vegetable fields,<br />

suitable indicators are SOC, total N, dehydrogenase, β-<br />

glucosaminidase and MBC. Higher SOM, soil pH, nutrient<br />

availability, enzyme activities, MBC and PLFA were also detected in<br />

organic farming compared to conventional farming both in paddy and<br />

vegetable fields. In conclusion, organic farming might have higher soil<br />

quality than conventional farming systems.<br />

Mr. Rashidi Ahamadi CHAMPUNGA (Tanzania)<br />

Assessment of rain erosivity and aridity in Central<br />

Tanzania<br />

Promoter: D. Gabriels<br />

Contact address: Mtwara People’s Umbrella<br />

Organisation (KIMWAM), P.O. Box 888, 0255<br />

Mtwara, Tanzania<br />

Abstract:<br />

To understand the factors causing land degradation and desertification<br />

processes a precise study on rainfall characteristics is important.<br />

In this study therefore secondary meteorological data including daily<br />

rainfall and temperature for 10 successive years (2000-2009) were<br />

collected from 13 meteorological stations in 7 different administrative<br />

regions named: Mwanza, Shinyanga, Dodoma, Tabora, Arusha,<br />

Singida and Northern part of Iringa region, all located in Central part<br />

of Tanzania. The meteorological data were used to assess aridity of<br />

drylands prone to desertification. Three different aridity indices<br />

methodologies including: Index of De Martonne (1926), Index of<br />

Thornthwaite (1948), UNEP (1997) and the Bagnouls-Gaussen Index<br />

(BGI) were used in this study.<br />

The results from this assessment have revealed three types of climate<br />

in Central Tanzania: humid climate, dry sub-humid climate and semiarid<br />

climate. The humid climate includes three regions of Mwanza,<br />

Tabora and Shinyanga. The dry sub-humid climate includes Singida<br />

and Arusha regions while the semi-arid climate includes Dodoma and<br />

Iringa region.<br />

In order to quantify the relative distribution of the rainfall patterns, a<br />

statistical derived index known as the Precipitation Concentration<br />

Index (PCI) was used. The results indicate that the rainfall distribution<br />

is affected by seasonal effects, strongly confined by a typical dry or<br />

wet period.<br />

Further, the rainfall aggressiveness and erosivity were assessed<br />

according to the Modified Fournier Index (MFI) and CORINE (1995)<br />

methodology, respectively. A specific empirical erosion model as<br />

proposed by Morgan (1986) is also used for assessment of erosivity in<br />

addition to the CORINE (1995) methodology. The results revealed a<br />

variation in rainfall aggressiveness between high to very high and<br />

strong rainfall erosivity in all regions.<br />

Finally, the correlation analysis was performed between MFI and the<br />

USLE erosivity factor R=EI 30. The result show a highly significant<br />

relationship between MFI and the USLE erosivity factor R=EI 30 in five<br />

regions out of seven. This leads to the conclusion that Central<br />

Tanzania is characterised by high aggressive and erosive types of<br />

rainfall which is the cause of serious experienced soil degradation and<br />

desertification.<br />

Mr. Anh Quan DUONG (Vietnam)<br />

<strong>Land</strong> evaluation for agricultural land use planning<br />

in the Central Highlands of Vietnam<br />

Promoters: A. Verdoodt, E. Van Ranst<br />

Contact address: So 7, Doan Ke Thien, Mai Dich,<br />

Cau Giay, Hanoi, Vietnam<br />

Abstract:<br />

The main purpose of this study was developing a GIS based multicriteria<br />

land use planning procedure to identify the suitable lands for<br />

Robusta coffee cultivation in the Dak Nong Province. This crop is one<br />

of most important crops in the province. Its actual cultivation extent is<br />

excessive and the planning is not sustainable. The province committee<br />

tries to reduce the cultivation area from 72,000 ha to 66,000 ha in<br />

2020 as well as to increase the productivity of Robusta coffee.<br />

In the first stage of the multi-criteria procedure, the suitability criteria<br />

have been selected based on literature research and local data. The<br />

criteria represented agro-ecological, environmental and socioeconomical<br />

aspects and were standardized by membership functions<br />

(MF). In the second stage of the procedure, the agro-ecological criteria<br />

have been combined using the parametric method to identify the<br />

natural suitability of the study area. The impact of climate change was<br />

accessed by applying two sets of data: time-series (30 years) averages<br />

and data collected during a year of extremes (1998). The daily<br />

meteorological data of 8 stations have been calculated and extracted in<br />

this stage. The third stage is combining the agro-ecological criteria<br />

with other criteria by applying multi-criteria analysis. The pair-wise<br />

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