Evaluating the Potential of Legumes to Mitigate N<sub>2</sub>O Emissions From Permanent Grassland Using Process‐Based Models — Kathrin Fuchs (2020) | RDL Network
Evaluating the Potential of Legumes to Mitigate N<sub>2</sub>O Emissions From Permanent Grassland Using Process‐Based Models
Article 2020 en
Authors
KF
Kathrin Fuchs
LM
Lutz Merbold
NB
Nina Buchmann
Abstract
1 min read
Abstract A potential strategy for mitigating nitrous oxide (N 2 O) emissions from permanent grasslands is the partial substitution of fertilizer nitrogen (N fert ) with symbiotically fixed nitrogen (N symb ) from legumes. The input of N symb reduces the energy costs of producing fertilizer and provides a supply of nitrogen (N) for plants that is more synchronous to plant demand than occasional fertilizer applications. Legumes have been promoted as a potential N 2 O mitigation strategy for grasslands, but evidence to support their efficacy is limited, partly due to the difficulty in conducting experiments across the large range of potential combinations of legume proportions and fertilizer N inputs. These experimental constraints can be overcome by biogeochemical models that can vary legume‐fertilizer combinations and subsequently aid the design of targeted experiments. Using two variants each of two biogeochemical models (APSIM and DayCent), we tested the N 2 O mitigation potential and productivity of full factorial combinations of legume proportions and fertilizer rates for five temperate grassland sites across the globe. Both models showed that replacing fertilizer with legumes reduced N 2 O emissions without reducing productivity across a broad range of legume‐fertilizer combinations. Although the models were consistent with the relative changes of N 2 O emissions compared to the baseline scenario (200 kg N ha −1 yr −1 ; no legumes), they predicted different levels of absolute N 2 O emissions and thus also of absolute N 2 O emission reductions; both were greater in DayCent than in APSIM. We recommend confirming these results with experimental studies assessing the effect of clover proportions in the range 30–50% and ≤150 kg N ha −1 yr −1 input as these were identified as best‐bet climate smart agricultural practices.
Kathrin Fuchs, Lutz Merbold, Nina Buchmann, Daniel Bretscher, Lorenzo Brilli, Nuala Fitton, K. Topp, Katja Klumpp, Mark Lieffering, Raphaël Martin, Paul C. D. Newton, Robert M. Rees, Susanne Rolinski, Pete Smith, Val Snow
Fiona Ehrhardt, Jean‐François Soussana, Gianni Bellocchi, Peter Grace, Russel McAuliffe, Sylvie Recous, Renáta Sándor, Pete Smith, Val Snow, Massimiliano De Antoni Migliorati, Bruno Basso, Arti Bhatia, Lorenzo Brilli, Jordi Doltra, Christopher D. Dorich, Luca Doro, Nuala Fitton, Sandro José Giacomini, Brian Grant, Matthew Tom Harrison, Stephanie Jones, Miko U. F. Kirschbaum, Katja Klumpp, Patricia Laville, Joël Léonard, Mark A. Liebig, Mark Lieffering, Raphaël Martin, Raia Silvia Massad, Elizabeth A. Meier, Lutz Merbold, Andrew D. Moore, Vasileios Myrgiotis,
James Gerber, Kimberly M. Carlson, David Makowski, Nathaniel D. Mueller, Iñaki García de Cortázar Atauri, Peter Havlík, Mario Herrero, Marie Launay, Christine S. O’Connell, Pete Smith, Paul West
Donna Giltrap, Jagadeesh Yeluripati, Pete Smith, Nuala Fitton, Ward Smith, Brian Grant, Christopher D. Dorich, Jia Deng, K. Topp, Mohamed Abdalla, Lìyı̌n Liáng, Val Snow
Discussion(0)
No comments yet. Be the first to comment.