文章基本信息

标题：Optimization of land and resource use at farm-aggregated level in the Aral Sea Basin of Uzbekistan with the integrated model FLEOM – model description and first application
本地全文：下载
作者：Sommer, Rolf ; Djanibekov, Nodir ; Salaev, Omonbek 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2010
卷号：41
期号：7
出版社：Food Distribution Research Society
摘要：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 (FLEOM) was developed. FLEOM optimizes farm-level land and resource use while at the same time assessing the respective economic and environmental impacts. The model captures the basic features of the regional agriculture and the interrelations of production activities most prevalent to the local farmers. FLEOM builds on an economic farm-household linear-programming (LP) optimization routine and a comprehensive agronomic data base established with the cropping system simulation model, CropSyst. A graphical user-interface programmed in Java provides for easy usability, by which settings and results of FLEOM are visualized in tables and figures or as maps via a GIS-environment. The present discussion paper provides a technical introduction to FLEOM and discusses first application results.
关键词：Sustainability of agro-ecosystems;Integrated biophysical-economic modeling;Cropping system;Land use planning;Policy assessment