The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands
Simulation models quantify the impacts on carbon (C) and nitrogen (N) cycling in grasslandsystems 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.
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Elsevier
2018-11
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Subjects: | animal feeding, livestock, nitrogen fixation, pollution, environmental engineering, |
Online Access: | https://hdl.handle.net/10568/96899 https://doi.org/10.1016/j.scitotenv.2018.06.020 |
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dig-cgspace-10568-968992023-12-08T19:36:04Z The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands Sándor, R. Ehrhardt, F. Brilli, L. Carozzi, M. Recous, S. Smith, P. Snow, V. Soussana, J.-F. Dorich, C.D. Fuchs, K. Fitton, N. Gongadze, K. Klumpp, K. Liebig, M. Martin, R. Merbold, Lutz Newton, Paul C.D. Rees, R.M. Rolinski, Susanne Bellocchi, G. animal feeding livestock nitrogen fixation pollution environmental engineering Simulation models quantify the impacts on carbon (C) and nitrogen (N) cycling in grasslandsystems 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. 2018-11 2018-08-24T11:43:32Z 2018-08-24T11:43:32Z Journal Article Sándor, R., Ehrhardt, F., Brilli, L., Carozzi, M., Recous, S., Smith, P., Snow, V., Soussana, J.-F., Dorich, C.D., Fuchs, K., Fitton, N., Gongadze, K., Klumpp, K., Liebig, M., Martin, R., Merbold, L., Newton, P.C.D., Rees, R.M., Rolinski, S. and Bellocchi, G. 2018. The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands. Science of The Total Environment 642: 292-306. 0048-9697 https://hdl.handle.net/10568/96899 https://doi.org/10.1016/j.scitotenv.2018.06.020 en All rights reserved; no re-use allowed Limited Access p. 292-306 Elsevier Science of The Total Environment |
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animal feeding livestock nitrogen fixation pollution environmental engineering animal feeding livestock nitrogen fixation pollution environmental engineering Sándor, R. Ehrhardt, F. Brilli, L. Carozzi, M. Recous, S. Smith, P. Snow, V. Soussana, J.-F. Dorich, C.D. Fuchs, K. Fitton, N. Gongadze, K. Klumpp, K. Liebig, M. Martin, R. Merbold, Lutz Newton, Paul C.D. Rees, R.M. Rolinski, Susanne Bellocchi, G. The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
description |
Simulation models quantify the impacts on carbon (C) and nitrogen (N) cycling in grasslandsystems 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. |
format |
Journal Article |
topic_facet |
animal feeding livestock nitrogen fixation pollution environmental engineering |
author |
Sándor, R. Ehrhardt, F. Brilli, L. Carozzi, M. Recous, S. Smith, P. Snow, V. Soussana, J.-F. Dorich, C.D. Fuchs, K. Fitton, N. Gongadze, K. Klumpp, K. Liebig, M. Martin, R. Merbold, Lutz Newton, Paul C.D. Rees, R.M. Rolinski, Susanne Bellocchi, G. |
author_facet |
Sándor, R. Ehrhardt, F. Brilli, L. Carozzi, M. Recous, S. Smith, P. Snow, V. Soussana, J.-F. Dorich, C.D. Fuchs, K. Fitton, N. Gongadze, K. Klumpp, K. Liebig, M. Martin, R. Merbold, Lutz Newton, Paul C.D. Rees, R.M. Rolinski, Susanne Bellocchi, G. |
author_sort |
Sándor, R. |
title |
The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
title_short |
The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
title_full |
The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
title_fullStr |
The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
title_full_unstemmed |
The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
title_sort |
use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands |
publisher |
Elsevier |
publishDate |
2018-11 |
url |
https://hdl.handle.net/10568/96899 https://doi.org/10.1016/j.scitotenv.2018.06.020 |
work_keys_str_mv |
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