Based on the complexity and expensiveness of other GIS software such as arc GIS, the facilitators decided to focus on Quantum GIS which is freely available to users. The training on Quantum GIS was further based on agreements reached upon by the Land Use Planning Committee of the IGAD-BMP. This committee tasked ICRAF to lead in the organization of the course but supported by the National Museums of Kenya and CORDIO. The aim of the course was to build capacity of project partners so that those trained can add value to the biodiversity management of the Laga Badana and Tana Kipini transboundary sites.
Tag: geographic information systems
Soil science and agricultural development in Rwanda: state of the art. A review
Poor agricultural productivity remains a crucial problem in Rwanda in spite of numeroustechnological interventions, including aspects of soil management. The objective of this study was to draw lessons from the past with the view to better orient future interventions in soil fertility management. The literature review and iterative field observations were the sources of information. Findings from this study show that substantial progress has been made in the identification of different soil types and their spatial distribution. Factors related to low level of productivity have been identified and sustainable soil fertility management options have been developed at plot level. However, the widespread adoption of these technologies has been problematic. The main reason is the failure to tailor soil fertility management technologies to specific soil types. The study has demonstrated that the soil map of Rwanda (CPR for Carte Pédologique du Rwanda) – 1:50,000 – offers a remarkable potential to constitute a tool to solve this problem. In practice however, the CPR remains underutilized, mainly because of its inaccessibility to its potential users (e.g. policy makers, soil fertility experts, agronomists and extensionists). For its effective use, the following is recommended: Rwandan soil scientists need to increase policy makers’ awareness about the usefulness of this soil map; agricultural research needs to adapt from the conventional model to a truly participatory and integrated approach; the CPR legend should be elucidated by providing information on the land units in which soils occur and by bridging Soil Taxonomy with the farmers’ soil nomenclature; regional soil reference systems should be established that allow linking soil types with the fertility status of arable land and crop yields. This implies the need for training of Rwandan soil scientists in both Soil Taxonomy (the language of the CPR) and the farmers’ soil nomenclature so that they can serve as interpreter for scientists from other disciplines and farmers. Rwandan soil scientists should be trained in the use of Geographic Information System (GIS) software to enable them to exploit the digitized version/soft copy of the CPR and to become familiar with the Rwandan biophysical environment.
Version 3 of the Global Aridity Index and Potential Evapotranspiration Database
The “Global Aridity Index and Potential Evapotranspiration Database – Version 3” (Global-AI_PET_v3) provides high-resolution (30 arc-seconds) global hydro-climatic data averaged (1970–2000) monthly and yearly, based upon the FAO Penman-Monteith Reference Evapotranspiration (ET0) equation. An overview of the methods used to implement the Penman-Monteith equation geospatially and a technical evaluation of the results is provided. Results were compared for technical validation with weather station data from the FAO “CLIMWAT 2.0 for CROPWAT” (ET0: r2 = 0.85; AI: r2 = 0.90) and the U.K. “Climate Research Unit: Time Series v 4.04” (ET0: r2 = 0.89; AI: r2 = 0.83), while showing significant differences to an earlier version of the database. The current version of the Global-AI_PET_v3 supersedes previous versions, showing a higher correlation to real world weather station data. Developed using the generally agreed upon standard methodology for estimation of reference ET0, this database and notably, the accompanying source code, provide a robust tool for a variety of scientific applications in an era of rapidly changing climatic conditions.