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Sommer, Rolf; Djanibekov, Nodir; Salaev, Omonbek. |
Land use and crop production in the Khorezm region in western Uzbekistan, exemplarily for the irrigated low-lands of Central Asia, is adversely affected by the excessive, non-sustainable use of irrigation water on one hand, repeated droughts on the other hand, and by soil degradation by secondary salinization. One of the research objectives of the German-Uzbek Khorezm project, funded by the German Ministry for Education and Research (BMBF) and led by ZEF, is to better understand options for land use and choice of technology at the farm level in order to evaluate and propose technological alternatives and policy options for sustainable land use in Khorezm. To address the latter, the integrated so-called Farm-Level Economic-Ecological Optimization Model... |
Tipo: Working or Discussion Paper |
Palavras-chave: Sustainability of agro-ecosystems; Integrated biophysical-economic modeling; Cropping system; Land use planning; Policy assessment; Agribusiness; Agricultural and Food Policy; Q12; O13; O21; Q18. |
Ano: 2010 |
URL: http://purl.umn.edu/92546 |
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Bobojonov, Ihtiyor; Sommer, Rolf. |
The paper compares the risk coping potential of insurances that are based on indices derived from weather (rainfall and temperature) data as well as from crop model and remote sensing analyses. Corresponding indices were computed for the case of wheat production in the Aleppo region of northern Syria, representative for agricultural production systems in many developing countries. The results demonstrate that weather derivatives such as the rainfall sum index (RSI) and the rainfall deficit index (RDI) have a very good potential for coping with risk in semiarid areas. Crop simulation model index (CSI) on the other hand could serve as an alternative to RSI and RDI when historical farm yield data is not available or not reliable. In such cases we simulated... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Risk management; Index insurance; Alternative index; CropSyst; NDVI; Risk and Uncertainty. |
Ano: 2011 |
URL: http://purl.umn.edu/114256 |
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