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Reversing soil degradation by tropical<br />

legume trees using GIS analysis<br />

In our project, we are evaluating and analysing the effects<br />

of the incorporation of Gliricidia sepium on soil productivity<br />

and the livelihoods in the Meegahakivula region, Sri Lanka.<br />

Our integrative approach includes agronomic, socio-economic<br />

and geographical aspects.<br />

The extensive on-farm field trials of the agronomic component<br />

showed that an increase in the site inclination as<br />

well as increased continuous cropping decrease soil fertility,<br />

especially organic matter and soil nitrogen contents.<br />

In addition, productivity in crop fields and home gardens is<br />

most restricted by increasing inclination and drought. Frequent<br />

incorporation of green or composted manure from<br />

Gliricidia trees may enhance soil organic matter content<br />

and crop yields – more pronounced at smaller slopes and in<br />

home gardens. Home gardens are usually characterised by<br />

greater soil fertility than crop fields. Increasing their use<br />

may contribute to improved food security and a higher<br />

income through direct marketing of vegetables.<br />

The economic component analysed different driving forces<br />

in the economic environment of these smallholder hill<br />

country farming systems. Changes in prices of products and<br />

production factors, salary-levels, or off-farm employment<br />

opportunities influence labour allocation decisions and the<br />

labour-capital relationship. Data showed that flows of cash<br />

and goods are fluctuating around a steady state. A sustainable<br />

increase of income through market integration of these<br />

farming systems needs external investments and policies<br />

to create beneficial conditions. A simulation model is used<br />

to analyse the sensitivity of these systems to changes in the<br />

economic environment based on their portfolio. The portfolio<br />

can be either more self-sufficiency- or market-oriented.<br />

The photogrammetric project component generated the<br />

Meegahakivula Geographic Information System in form of<br />

a common database incorporating the agronomic, socioeconomic,<br />

geographic and topographic data about the<br />

farming systems. It allows for analysing spatially-related<br />

datasets. The Meegahakivula GIS is a web-based platform,<br />

which provides a database of variables from various thematic<br />

backgrounds. It also has the potential to inform extensionists,<br />

as such contributing to the knowledge transfer into<br />

agricultural practice.<br />

Our project demonstrates the potential of introducing<br />

a tree species to improve productivity and sustainability<br />

of crop production in smallholder hill country farming<br />

systems, taking the diversity of livelihood strategies into<br />

account.<br />

Project leaders<br />

Peter Stamp<br />

Armin Grün<br />

Bernard Lehmann<br />

39<br />

Contact persons<br />

Chaminda Egodawatte<br />

Henri Eisenbeiss<br />

Martijn Sonnevelt<br />

Collaborators<br />

Ravi Sangakkara and Cyril Bogawahatte,<br />

Peradeniya University, Sri Lanka;<br />

K.R.M.U. Bandara and Lal Samarakoon,<br />

AIT, Thailand<br />

Duration<br />

October 2006 – October 2010<br />

Thematic clusters<br />

Fodder resources and feeding strategies,<br />

Livestock and environment,<br />

Livestock-based value chains and<br />

policy analysis<br />

Research collaboration<br />

Livestock systems research<br />

Farmers transporting Gliricidia and other wood species to a market<br />

to sell as firewood, Badulla, Sri Lanka

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