The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands
Creators
- 1. Agricultural Institute, CAR HAS, 2462 Martonvásár (Hungary)
- 2. INRA, VetAgro Sup, UCA, Unité Mixte de Recherche sur l'Écosystème Prairial (UREP), 63000 Clermont-Ferrand (France)
- 3. INRA, 75007 Paris (France)
- 4. IBIMET-CNR, 50145 Florence (Italy)
- 5. University of Florence, DISPAA, 50144 Florence (Italy)
- 6. Agroscope Research Station, Climate Agriculture Group, Zurich (Switzerland)
- 7. FARE Laboratory, INRA, Université de Reims Champagne-Ardenne, 51100 Reims (France)
Description
Highlights: • We perform multi-model simulations of C and N fluxes at five grassland sites. • We assess modelled greenhouse gas emissions with alternative management practices. • We use multi-model medians to reduce the uncertainty of the responses. • We identify some shift towards a C sink with decreasing inputs. • We show the considerable effect of N fertilizer reduction on C and N emissions. Simulation models quantify the impacts on carbon (C) and nitrogen (N) cycling in grassland systems caused by changes in management practices. To support agricultural policies, it is however important to contrast the responses of alternative models, which can differ greatly in their treatment of key processes and in their response to management. We applied eight biogeochemical models at five grassland sites (in France, New Zealand, Switzerland, United Kingdom and United States) to compare the sensitivity of modelled C and N fluxes to changes in the density of grazing animals (from 100% to 50% of the original livestock densities), also in combination with decreasing N fertilization levels (reduced to zero from the initial levels). Simulated multi-model median values indicated that input reduction would lead to an increase in the C sink strength (negative net ecosystem C exchange) in intensive grazing systems: −64 ± 74 g C m−2 yr−1 (animal density reduction) and −81 ± 74 g C m−2 yr−1 (N and animal density reduction), against the baseline of −30.5 ± 69.5 g C m−2 yr−1 (LSU [livestock units] ≥ 0.76 ha−1 yr−1). Simulations also indicated a strong effect of N fertilizer reduction on N fluxes, e.g. N2O-N emissions decreased from 0.34 ± 0.22 (baseline) to 0.1 ± 0.05 g N m−2 yr−1 (no N fertilization). Simulated decline in grazing intensity had only limited impact on the N balance. The simulated pattern of enteric methane emissions was dominated by high model-to-model variability. The reduction in simulated offtake (animal intake + cut biomass) led to a doubling in net primary production per animal (increased by 11.6 ± 8.1 t C LSU−1 yr−1 across sites). The highest N2O-N intensities (N2O-N/offtake) were simulated at mown and extensively grazed arid sites. We show the possibility of using grassland models to determine sound mitigation practices while quantifying the uncertainties associated with the simulated outputs.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.scitotenv.2018.06.020Additional details
Identifiers
- DOI
- 10.1016/j.scitotenv.2018.06.020;
- PII
- S0048969718320837;
Publishing Information
- Journal Title
- Science of the Total Environment
- Journal Volume
- 642
- Journal Page Range
- p. 292-306
- ISSN
- 0048-9697
- CODEN
- STENDL
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53021711
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- BIOMASS; CARBON; DOMESTIC ANIMALS; ENVIRONMENTAL POLICY; FERTILIZATION; FERTILIZERS; FRANCE; GRAZING; GREENHOUSE GASES; INTAKE; METHANE; NEW ZEALAND; NITROGEN; NITROUS OXIDE; POLLUTION ABATEMENT; RANGELANDS; SWITZERLAND; UNITED KINGDOM; USA
- Descriptors DEC
- ALKANES; ANIMALS; AUSTRALASIA; CHALCOGENIDES; DEVELOPED COUNTRIES; ECOSYSTEMS; ELEMENTS; ENERGY SOURCES; EUROPE; FEEDING; GOVERNMENT POLICIES; HYDROCARBONS; ISLANDS; NITROGEN COMPOUNDS; NITROGEN OXIDES; NONMETALS; NORTH AMERICA; ORGANIC COMPOUNDS; OXIDES; OXYGEN COMPOUNDS; RENEWABLE ENERGY SOURCES; TERRESTRIAL ECOSYSTEMS; WESTERN EUROPE
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier B.V. All rights reserved.