Incentives of land users in projects of soil and water conservation, the weight of intangibles
Many studies of soil and water conservation in third world situations show that among the farmers' incentives the commercial view on rural management is important and that at the same time intangible considerations are playing an important role. Traditional belief, local customs as well as inner conviction are also significant in the farmer's life. An example of incentives of land husbandry in the first world is given by a case of the Swiss Alp-farming. Their great attachment to this type of farming as well as the national support for mountain farmers' income play a role. In activities aimed at improvement of rural development in a third world country, the viewpoint of the expert may easily dominate any kind of plan making because of his position in the projects. However, his cultural background may limit his understanding of the rural situation in countries foreign to him. This has frequently lead to misjudging the importance of other than commercial incentives. A critical self-appraisal of motives and attitude to life by the adviser would often be needed in order to take immaterial incentives into account in development projects and in the achievement of agricultural policy. From the experience obtained in the third world and from the case study of the european alp-farming, the weight of intangibles in the land users' incentives appears as one of the crucial factors in rural management. This weight will grow with the present increasing need for sustainable agricultural productivity as well as with the need to create a sustained use of the environment in many parts of the world.
Quantitative simulation tools to analyze up- and downstream interactions of soil and water conservation measures: supporting policy making in the Green Water Credits program of Kenya.
Upstream soil and water conservation measures in catchments can have positive impact both upstream in terms of less erosion and higher crop yields, but also downstream by less sediment flow into reservoirs and increased groundwater recharge. Green Water Credits (GWC) schemes are being developed to encourage upstream farmers to invest in soil and water conservation practices which will positively effect upstream and downstream water availability. Quantitative information on water and sediment fluxes is crucial as a basis for such financial schemes. A pilot design project in the large and strategically important Upper-Tana Basin in Kenya has the objective to develop a methodological framework for this purpose. The essence of the methodology is the integration and use of a collection of public domain tools and datasets: the so-called Green water and Blue water Assessment Toolkit (GBAT). This toolkit was applied in order to study different options to implement GWC in agricultural rainfed land for the pilot study. Impact of vegetative contour strips, mulching, and tied ridges were determined for: (i) three upstream key indicators: soil loss, crop transpiration and soil evaporation, and (ii) two downstream indicators: sediment inflow in reservoirs and groundwater recharge. All effects were compared with a baseline scenario of average conditions. Thus, not only actual land management was considered but also potential benefits of changed land use practices. Results of the simulations indicate that especially applying contour strips or tied ridges significantly reduces soil losses and increases groundwater recharge in the catchment. The model was used to build spatial expressions of the proposed management practices in order to assess their effectiveness. The developed procedure allows exploring the effects of soil conservation measures in a catchment to support the implementation of GWC.
To What Extent Can English-as-a-Second Language Learners Read Economic News Texts?
In decision making in the economic field, an especially important requirement is to rapidly understand news to absorb ever-changing economic situations. Given that most economic news is written in English, the ability to read such information without waiting for a translation is particularly valuable in economics in contrast to other fields. In consideration of this issue, this research investigated the extent to which non-native English speakers are able to read economic news to make decisions accordingly – an issue that has been rarely addressed in previous studies. Using an existing standard dataset as training data, we created a classifier that automatically evaluates the readability of text with high accuracy for English learners. Our assessment of the readability of an economic news corpus revealed that most news texts can be read by intermediate English learners. We also found that in some cases, readability varies considerably depending on the knowledge of certain words specific to the economic field.