首页> 外文会议>International Conference on Agro-Geoinformatics >Identification of potential areas for out-scaling sustainable land management options in West Asia, North Africa, and Central Asia
【24h】

Identification of potential areas for out-scaling sustainable land management options in West Asia, North Africa, and Central Asia

机译:识别西亚,北非和中亚国外超标可持续土地管理选择的潜在领域

获取原文

摘要

Water scarcity and land degradation are among the most important factors affecting agricultural production and sustainability in the West Asia and North Africa (WANA) region and in Central Asia (CA). Various sustainable land management (SLM) technologies that help conserve and better use natural resources and hence improve the incomes and livelihoods of farmers are available and being adapted to these regions. However, to achieve better adoption by farmers and to ensure positive results from implementation, the SLM technologies in WANA and CA need to be disseminated on a large scale. Identifying the potential areas to target the implementation of selected SLM practices is necessary to help decision makers and facilitate the out-scaling process. With participation of specialists from the National Agriculture Research Systems, three agro-ecosystems, rangeland, irrigated, and rainfed, were defined for the WANA region, and the mountain agro-ecosystem was added for CA. Each agro-ecosystem was represented by a benchmark site where selected SLM technology was demonstrated. In WANA, these benchmark sites included the water harvesting Vallerani system (contour ridges and semicircular bunds) for rangeland, water-saving (raised-beds and deficit irrigation) for irrigated, and supplemental irrigation for rainfed agro-ecosystems. In CA, sites included pasture improvement for rangeland, raised-beds for irrigated, conservation agriculture for rainfed, and agro-forestry for mountain agro-ecosystems. The criteria used to identify potential areas for out-scaling consisted of land use, slope, water resources availability, precipitation, degree of land degradation, livestock density, soil depth, soil texture, and soil salinity. Global spatial datasets, such as the FAO Land Degradation Assessment in Drylands project (LADA), soil data from the Harmonized World Soil Database (HWSD), and soil depth from the Soil Map of the World were used to derive the required database. Available national- data provided by the participating countries were used as supplemental sources. The derived maps were validated and verified by an interdisciplinary team of experts and researchers from the countries in both regions. Verification of the maps derived at regional level - using low resolution data, with more detailed data for some countries - indicated that potential areas for out-scaling SLM could be generally identified. However, for implementation purposes and to derive the extent of the potential areas, detailed data at national level is needed. Yet, the results are useful to guide decision makers to first identify the extent and distribution of the potential areas for each SLM and agro-ecosystem and, second, to prioritize the implementation. This will help in the out-scaling of SLM options to improve productivity and resilience.
机译:水资源稀缺和土地退化是影响西亚和北非(WANA)地区和中亚(CA)的农业生产和可持续性的最重要因素。有助于保护和更好地利用自然资源的各种可持续土地管理(SLM)技术可以提供改善农民的收入和生计,并适应这些地区。然而,为了实现农民的更好采用,并确保实施积极的结果,Wana和CA中的SLM技术需要大规模传播。为帮助决策者识别所选SLM实践的潜在区域,以帮助决策者并促进外缩放过程。通过国家农业研究系统的专家参与,为WANA地区定义了三个农业生态系统,陆域,灌溉和雨量,为加利福尼亚州的山地农业生态系统。每个农业生态系统由所选SLM技术的基准网站表示。在WANA中,这些基准网站包括兰兰,节水(升降床和赤字灌溉)的禁区灌溉和污染农业生态系统的补充灌溉。在CA,地点包括牧场的牧场改善,灌溉,雨水保护农业的升降床,以及山地农业生态系统的农业林业。用于识别外出缩放区域的标准由土地使用,坡,水资源可用性,降水,土地退化程度,牲畜密度,土壤深度,土壤质地和土壤盐度组成。全球空间数据集如旱地项目(LADA)中的粮农组织土地退化评估,来自统一世界土壤数据库(HWSD)的土壤数据,以及世界土壤地图的土壤深度派往所需的数据库。参与国家提供的可用国家数据被用作补充来源。通过两个地区各国的专家和研究人员验证并验证了派生地图。验证区域级别的地图 - 使用低分辨率数据,具有更多国家的更详细数据 - 表示通常可以识别出缩放SLM的潜在区域。但是,为了实施目的并导出潜在领域的范围,需要在国家一级的详细数据。然而,结果可用于指导决策者首先确定每个SLM和农业生态系统的潜在领域的程度和分布,并将其实施优先考虑实施。这将有助于缩放SLM选项,以提高生产率和弹性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号