4.8 Article

Integrated management for sustainable cropping systems: Looking beyond the greenhouse balance at the field scale

期刊

GLOBAL CHANGE BIOLOGY
卷 26, 期 4, 页码 2584-2598

出版社

WILEY
DOI: 10.1111/gcb.14989

关键词

C sequestration; cover crops; ecosystems services; Greenhouse gases; N2O emissions; nitrate leaching

资金

  1. Comunidad de Madrid [AGRISOST-CM S2018/BAA-4330]
  2. Spanish Ministry of Economy and Competitiveness [AGL2017-83283-C2-1/2-R, RYC-2016-20269]
  3. Universidad Politecnica de Madrid
  4. EU Structural Funds 2014-2020 (ERDF)
  5. EU Structural Funds 2014-2020 (ESF)

向作者/读者索取更多资源

Cover crops (CC) promote the accumulation of soil organic carbon (SOC), which provides multiple benefits to agro-ecosystems. However, additional nitrogen (N) inputs into the soil could offset the CO2 mitigation potential due to increasing N2O emissions. Integrated management approaches use organic and synthetic fertilizers to maximize yields while minimizing impacts by crop sequencing adapted to local conditions. The goal of this work was to test whether integrated management, centered on CC adoption, has the potential to maximize SOC stocks without increasing the soil greenhouse gas (GHG) net flux and other agro-environmental impacts such as nitrate leaching. To this purpose, we ran the DayCent bio-geochemistry model on 8,554 soil sampling locations across the European Union. We found that soil N2O emissions could be limited with simple crop sequencing rules, such as switching from leguminous to grass CC when the GHG flux was positive (source). Additional reductions of synthetic fertilizers applications are possible through better accounting for N available in green manures and from mineralization of soil reservoirs while maintaining cash crop yields. Therefore, our results suggest that a CC integrated management approach can maximize the agro-environmental performance of cropping systems while reducing environmental trade-offs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据