Field- And Farm-Scale Assessment Of Soil Greenhouse Gas Mitigation Using Comet-Farm

Keith Paustian,Mark Easter, Kevin Brown,Adam Chambers,Marlen Eve, Adriane Huber,Ernie Marx,Mark Layer, Matt Stermer, Ben Sutton,Amy Swan, Crystal Toureene, Sobha Verlayudhan,Steve Williams

PRECISION CONSERVATION: GEOSPATIAL TECHNIQUES FOR AGRICULTURAL AND NATURAL RESOURCES CONSERVATION(2018)

引用 14|浏览1
暂无评分
摘要
Achieving more sustainable production of food, fiber and energy and reducing environmental burdens from agricultural systems is a global challenge. Meeting this challenge will create new opportunities for producers to provide a broader range of ecosystem services, including reducing greenhouse gas emissions (and sequestering more carbon) in their production systems. To meet these new objectives, land managers will need new decision tools and performance metrics.The COMET-Farm system was designed to fill this need by incorporating state-of-the-art greenhouse gas quantification methods into a web-based tool that can be used by farmers, ranchers, land managers and others. The system is capable of doing a full greenhouse gas assessment for CO2, CH4, and N2O, from all major on-farm emission sources (and CO2 removal into biomass and soil sinks), including land management of annual and perennial crops, pasture, range and agroforestry systems, as well as emissions from livestock and on-farm energy use. The system uses a fully spatial mapping and menu-driven graphical user interface (GUI) to facilitate data entry and evaluation of user-defined conservation practices.In this paper we provide an overview of the system and a description of the user interface and integrated databases in the system. We follow this with a brief description of the models and data requirements for the major emission source categories in the system. We illustrate the application of the system using examples of emission reductions from adoption of different conservation management practices and discuss how the tool can help meet needs for different policy-and market-driven greenhouse gas reduction efforts.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要