10.6084/m9.figshare.5555410
Xunhua ZHENG
Xunhua
ZHENG
Shenghui HAN
Shenghui
HAN
A generic methodological framework for accurately quantifying greenhouse gas footprints of crop cultivation systems
Taylor & Francis Group
2017
Climate change impact potential
greenhouse gas footprint
crop cultivation system
life cycle assessment
emission factor
ecosystem carbon stock
soil organic carbon
气候变化影响潜势
温室气体足迹
农作物种植系统
生命周期评估
排放系数
生态系统碳库
土壤有机碳
2017-10-31 17:06:30
Journal contribution
https://tandf.figshare.com/articles/journal_contribution/A_generic_methodological_framework_for_accurately_quantifying_greenhouse_gas_footprints_of_crop_cultivation_systems/5555410
<p>The greenhouse gas (GHG) footprint of an agricultural system is a measure of the climate change impact potential (CCIP) exerted by the formation of its product(s). Its accurate quantification is essential for determining the green value added tax of agricultural products for food markets, which in turn may drastically change the current patterns of food consumption and production towards a product life cycle oriented economy. This paper reviews the literature regarding GHG footprints of crop cultivation systems. The review concludes that few studies have fully considered the categories/items of net GHG emissions from an investigated crop cultivation system, and thus probably led to biases in footprint estimation. Most studies to date have even neglected changes in the soil organic carbon stocks of ecosystems with annual crops, while process-oriented biogeochemical models so far have seldom been involved in GHG footprint quantification. To help with solving these problems or drawbacks, the authors propose a generic methodological framework for quantifying GHG footprints of crop cultivation systems free from grazing, which takes into account all direct/indirect GHG contributors within a ‘cradle-to-gate’ life cycle. The authors then provide example values of some GHG emission factors, such as those from machinery operations and other agricultural inputs, extracted from the literature. In addition, direct measurements or model simulations of other major on-farm emission factors are emphasized. The need to further update this methodological framework in future studies, especially by adapting it to mixed crop–livestock production systems, is also indicated.</p>