Agriculture Reference
In-Depth Information
Training
•
The local partners were trained to use the equipment and to collect the other
input data that are necessary for the erosion model.
•
A training course was given in Wageningen, in which the partners learned to use
the erosion model itself (AUN gave a similar course on the bio-economic model
in Delhi).
Data analysis
•
Data received from the local partners were analysed, and input datasets for the
erosion model were created. Processed data were shared with the partners.
•
Maps of land use and elevation were made based on Remote Sensing imagery.
Erosion simulations
•
An erosion model was applied to catchments in India and Nepal, but could not be
applied in Pakistan because of lack of data.
•
Some land use scenarios were also simulated with the erosion model to predict
the effect land use change would have on soil erosion.
2) Can you identify disciplinary and multi-disciplinary activities?
The overall project had a multi-disciplinary character, with researchers with different
backgrounds (economics, social sciences, remote sensing, soil science) working
together. Maps were made in close collaboration with Swansea. Land use scenarios
were discussed with AUN. AUN also worked closely together with the partners in
the Himalayan Region to apply a bio-economic model, which for its input data was
dependent on participatory interviews with local stakeholders. Each partner had a
distinct (disciplinary) work package, the results of which were integrated into the
other work packages.
D) General project outputs
1) What are the scientific contributions of the project (to RDSA methodology or
more general scientific contributions)?
•
Several scientific articles.
•
Several project reports were written and made available internationally through
the internet.
•
The data that was collected in the field, the project results and programmes that
were used (e.g., the soil erosion model LISEM) were made available to all
project partners.
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