首页> 外文期刊>Land >Model Based Regional Estimates of Soil Organic Carbon Sequestration and Greenhouse Gas Mitigation Potentials from Rice Croplands in Bangladesh
【24h】

Model Based Regional Estimates of Soil Organic Carbon Sequestration and Greenhouse Gas Mitigation Potentials from Rice Croplands in Bangladesh

机译:基于模型的孟加拉国稻田土壤有机碳固存和温室气体减排潜力的区域估算

获取原文
       

摘要

Rice ( Oryza sativa L.) is cultivated as a major crop in most Asian countries and its production is expected to increase to meet the demands of a growing population. This is expected to increase greenhouse gas (GHG) emissions from paddy rice ecosystems, unless mitigation measures are in place. It is therefore important to assess GHG mitigation potential whilst maintaining yield. Using the process-based ecosystem model DayCent, a spatial analysis was carried out in a rice harvested area in Bangladesh for the period 1996 to 2015, considering the impacts on soil organic carbon (SOC) sequestration, GHG emissions and yield under various mitigation options. An integrated management (IM, a best management practice) considering reduced water, tillage with residue management, reduced mineral nitrogen fertilizer and manure, led to a net offset by, on average, ?2.43 t carbon dioxide equivalent (CO 2 -eq.) ha ?1 year ?1 (GHG removal) and a reduction in yield-scaled emissions intensity by ?0.55 to ?0.65 t CO 2 -eq. t ?1 yield. Under integrated management, it is possible to increase SOC stocks on average by 1.7% per year in rice paddies in Bangladesh, which is nearly 4 times the rate of change targeted by the “4 per mille” initiative arising from the Paris Climate Agreement.
机译:在大多数亚洲国家,稻米(Oryza sativa L.)是主要农作物,预计其产量将增加,以满足人口增长的需求。除非采取缓解措施,否则这将增加水稻生态系统的温室气体排放。因此,重要的是评估温室气体减排潜力,同时保持产量。使用基于过程的生态系统模型DayCent,在孟加拉国的水稻收成地区进行了1996年至2015年的空间分析,考虑了各种缓解方案对土壤有机碳(SOC)固存,温室气体排放和产量的影响。一项综合管理(IM,一种最佳管理实践)考虑了节水,耕作和残渣管理,减少了矿物氮肥和肥料,平均净减少了约2.43吨二氧化碳当量(CO 2当量) ha≤1年≤1年(GHG去除),并且按产量换算的排放强度降低了0.55到0.65 t CO 2当量。 t≤1的产量。在综合管理下,孟加拉国稻米的SOC储量平均每年可以增加1.7%,这几乎是《巴黎气候协定》提出的“每千公升4”计划目标的变化率的4倍。

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