Claire P. McSwiney, Sven Bohm, Peter R. Grace, G. Philip Robertson
{"title":"Greenhouse Gas Emissions Calculator for Grain and Biofuel Farming Systems","authors":"Claire P. McSwiney, Sven Bohm, Peter R. Grace, G. Philip Robertson","doi":"10.4195/jnrlse.2009.0021","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Opportunities for farmers to participate in greenhouse gas (GHG) credit markets require that growers, students, extension educators, offset aggregators, and other stakeholders understand the impact of agricultural practices on GHG emissions. The Farming Systems Greenhouse Gas Emissions Calculator, a web-based tool linked to the SOCRATES soil carbon process model, provides a simple introduction to the concepts and magnitudes of gas emissions associated with crop management. Users choose a county of interest on an introductory screen and are taken to the input/output window, where they choose crops, yields, tillage practices, or nitrogen fertilizer rates. Default values are provided based on convention and county averages. Outputs include major contributors of greenhouse gases in field crops: soil carbon change, nitrous oxide (N<sub>2</sub>O) emission, fuel use, and fertilizer. We contrast conventional tillage and no-till in a corn–soybean–wheat (<i>Zea mays</i> L.–<i>Glycine max</i> (L.) Merr.–<i>Triticum aestivum</i> L.) rotation and compare continuous corn fertilized at 101 and 134 kg N ha<sup>−1</sup> yr<sup>−1</sup>. In corn years, N<sub>2</sub>O was the dominant GHG, due to high fertilizer requirements for corn. No-till management reduced greenhouse gas emissions by 50% due to net soil carbon storage. Continuous corn fertilized at 101 kg N ha<sup>−1</sup> yr<sup>−1</sup> emitted 1.25 Mg CO<sub>2</sub> equivalents ha<sup>−1</sup> yr<sup>−1</sup> compared with 1.42 Mg CO<sub>2</sub> equivalents ha<sup>−1</sup> yr<sup>−1</sup> at 134 kg N ha<sup>−1</sup> yr<sup>−1</sup>, providing a 12% GHG savings. The calculator demonstrates how cropping systems and management choices affect greenhouse gas emissions in field crops.</p>\n </div>","PeriodicalId":100810,"journal":{"name":"Journal of Natural Resources and Life Sciences Education","volume":"39 1","pages":"125-131"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.4195/jnrlse.2009.0021","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Natural Resources and Life Sciences Education","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.4195/jnrlse.2009.0021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Opportunities for farmers to participate in greenhouse gas (GHG) credit markets require that growers, students, extension educators, offset aggregators, and other stakeholders understand the impact of agricultural practices on GHG emissions. The Farming Systems Greenhouse Gas Emissions Calculator, a web-based tool linked to the SOCRATES soil carbon process model, provides a simple introduction to the concepts and magnitudes of gas emissions associated with crop management. Users choose a county of interest on an introductory screen and are taken to the input/output window, where they choose crops, yields, tillage practices, or nitrogen fertilizer rates. Default values are provided based on convention and county averages. Outputs include major contributors of greenhouse gases in field crops: soil carbon change, nitrous oxide (N2O) emission, fuel use, and fertilizer. We contrast conventional tillage and no-till in a corn–soybean–wheat (Zea mays L.–Glycine max (L.) Merr.–Triticum aestivum L.) rotation and compare continuous corn fertilized at 101 and 134 kg N ha−1 yr−1. In corn years, N2O was the dominant GHG, due to high fertilizer requirements for corn. No-till management reduced greenhouse gas emissions by 50% due to net soil carbon storage. Continuous corn fertilized at 101 kg N ha−1 yr−1 emitted 1.25 Mg CO2 equivalents ha−1 yr−1 compared with 1.42 Mg CO2 equivalents ha−1 yr−1 at 134 kg N ha−1 yr−1, providing a 12% GHG savings. The calculator demonstrates how cropping systems and management choices affect greenhouse gas emissions in field crops.
农民参与温室气体(GHG)信贷市场的机会要求种植者、学生、推广教育者、补偿汇总者和其他利益相关者了解农业实践对温室气体排放的影响。农业系统温室气体排放计算器是一个与苏格拉底土壤碳过程模型相关联的基于网络的工具,它简单介绍了与作物管理有关的气体排放的概念和规模。用户在介绍性屏幕上选择感兴趣的县,然后进入输入/输出窗口,在那里他们选择作物、产量、耕作方法或氮肥用量。默认值是根据惯例和县的平均值提供的。产出包括大田作物温室气体的主要来源:土壤碳变化、一氧化二氮(N2O)排放、燃料使用和肥料。我们比较了玉米-大豆-小麦(Zea mays L. - glycine max (L.))的常规耕作和免耕。稳定。-小麦(triticum aestium L.)轮作和比较在101和134 kg N / h - 1年- 1年连续施肥的玉米。在玉米年,由于玉米对肥料的需求量很大,N2O是主要的温室气体。免耕管理由于土壤净碳储量减少了50%的温室气体排放。连续玉米在101 kg N ha−1年−1下排放1.25 Mg CO2当量,而在134 kg N ha−1年−1下排放1.42 Mg CO2当量,可减少12%的温室气体排放。该计算器演示了种植制度和管理选择如何影响大田作物的温室气体排放。