Complementing the topsoil information of the Land Use/Land Cover Area Frame Survey (LUCAS) with modelled N2O emissions

Lugato, Emanuele; Paniagua, Lily; Jones, Arwyn; Vries, Wim de; Leip, Adrian

doi:10.1371/journal.pone.0176111

Cited by 29 publications

(18 citation statements)

References 48 publications

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“…To our knowledge, this is the first time that a bulk density map for soils was generated and used to estimate the N 2 O-N emissions from managed European peatlands. Our work is in line with studies showing that the drained peatlands in Europe are in a stage of severe degradation and suggests that they emit considerable amounts of N 2 O-N. Less than 6 × 10 6 ha of agriculturally used peatlands (cropland and grassland) emit over 100 Gg N 2 O-N year −1 , equivalent to 25 % of soil N 2 O emissions from the entire agriculture land of EU-28 47 . In this study, the estimated N 2 O-N emissions from European managed peatlands are twice the value of those calculated using IPCC default emission factors.…”

Section: Discussionsupporting

confidence: 90%

Rewetting strategies to reduce nitrous oxide emissions from European peatlands

Liu

Wrage‐Mönnig

Lennartz

2020

Commun Earth Environ

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Nitrous oxide (N2O) is approximately 265 times more potent than carbon dioxide (CO2) in atmospheric warming. Degraded peatlands are important sources of N2O. The more a peat soil is degraded, the higher the N2O-N emissions from peat. In this study, soil bulk density was used as a proxy for peat degradation to predict N2O-N emissions. Here we report that the annual N2O-N emissions from European managed peatlands (EU-28) sum up to approximately 145 Gg N year−1. From the viewpoint of greenhouse gas emissions, highly degraded agriculturally used peatlands should be rewetted first to optimally reduce cumulative N2O-N emissions. Compared to a business-as-usual scenario (no peatland rewetting), rewetting of all drained European peatlands until 2050 using the suggested strategy reduces the cumulative N2O-N emissions by 70%. In conclusion, the status of peat degradation should be made a pivotal criterion in prioritising peatlands for restoration.

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Section: Discussionsupporting

confidence: 90%

Rewetting strategies to reduce nitrous oxide emissions from European peatlands

Liu

Wrage‐Mönnig

Lennartz

2020

Commun Earth Environ

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“…In comparison with Lugato et al (2017), we found similar results for the Mediterranean latitudes (about 1 kg N-N 2 O ha -1 y -1 ), while we predicted significantly lower emissions for Central Europe (1.1 kg N-N 2 O ha -1 y -1 , this study), as well as at higher latitude (0.96 kg N ha -1 y -1 , this study), compared to 3 kg N-N 2 O ha -1 y -1 forecasted by Lugato et al (2017). Indeed, lower emissions at high latitudes were also reported by other studies (World Bank;Eurostat, 2017;Stehfest and Bouwman, 2006;Wells et al, 2018).…”

Section: Effect Of Climate On N2o and Ch4 Emissionsmentioning

confidence: 96%

“…The estimation and the projection of N 2 O emissions in the historical and the climate change scenarios were in line with other model integrations over Europe. Lugato et al (2017) estimated averaged emissions ranging from 1.18 to 2.63 kg N-N 2 O ha -1 y -1 in the period 2010-2014 for both cropland and grasslands production systems with the DayCent model.…”

Section: Effect Of Climate On N2o and Ch4 Emissionsmentioning

confidence: 99%

Effects of climate change in the European croplands and grasslands: productivity, GHG balance and soil carbon storage

Carozzi

Martin

Klumpp

et al. 2021

Preprint

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Abstract. The knowledge of the effects of climate change on agro-ecosystems is fundamental to identify local actions aimed to maintain productivity and reduce environmental issues. This study investigates the effects of climate perturbation on the European crop and grassland production systems, combining the finding from two biogeochemical models. Accurate and high-resolution management and pedoclimatic data has been employed. Results has been verified for the period 1978–2004 (historical period) and projected until 2099 with two divergent intensities IPPC’s climate projections, RCP4.5 and RCP8. We provided a detailed overview on productivity and the impacts on management (sowing dates, water demand, nitrogen use efficiency). Biogenic GHG budgets (N2O, CH4, CO2) were calculated, including an assessment of their sensitivity to the leading drivers, and the compilation of a net carbon budget over production systems. Results confirmed that a significant reduction of productivity is expected during 2050–2099, caused by the shortening of the length of the plant growing cycle associated to the rising temperatures. This effect was more pronounced for the more pessimistic climate scenario (-13 % for croplands and -7.7 % for grasslands) and for Mediterranean regions, confirming a regionally distributed impact of climate change. Non-CO2 GHG emissions were triggered by rising air temperatures and increased exponentially over the century, being often higher than the CO2 accumulation of the explored agro-ecosystems, which acted as potential C sinks. Emission factor for N2O was 1.82 ± 0.07 % during the historical period, rising up to 2.05 ± 0.11 % for both climate projections. The biomass removal (crop yield, residues exports, mowing and animal intake) converted croplands and grasslands into net C sources (236 ± 107 Tg CO2eq y-1 in the historical period), increasing of more than 20 % during the climate projections. Nonetheless, crop residues demonstrate to be an effective management strategy to overturn the C balance. Although with a marked latitudinal gradient, water demand will double over the next few decades in the European croplands, whereas the benefit in terms of yield will not contribute substantially to balance the C losses due to climate perturbation.

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“…The Joint Research Council (JRC) applies this model at the EU scale on the LUCAS sample points (Ballabio, Panagos, & Monatanarella, 2016;Orgiazzi, Ballabio, Panagos, Jones, & Fernández-Ugalde, 2018) to estimate carbon dioxide (CO 2 ) and nitrous oxide (N 2 O) emissions in agricultural soils under different scenarios (Lugato, Leip, & Jones, 2018;Lugato, Paniagua, Jones, de Vries, & Leip, 2017;Quemada, Lassaletta, Leip, Jones, & Lugato, 2020) and it is validated for these two parameters. The DayCent model was applied on a 12-year simulation period following the procedure in Lugato et al (2017). More information on the model's setup, validation and associated uncertainties can be found in that publication.…”

Section: Daycent Datasetmentioning

confidence: 99%

Spatial evaluation and trade‐off analysis of soil functions through Bayesian networks

Vrebos

Jones

Lugato

et al. 2020

European J Soil Science

Self Cite

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There is increasing recognition that soils fulfil many functions for society. Each soil can deliver a range of functions, but some soils are more effective at some functions than others due to their intrinsic properties. In this study we mapped four different soil functions on agricultural lands across the European Union. For each soil function, indicators were developed to evaluate their performance. To calculate the indicators and assess the interdependencies between the soil functions, data from continental long‐term simulation with the DayCent model were used to build crop‐specific Bayesian networks. These Bayesian Networks were then used to calculate the soil functions' performance and trade‐offs between the soil functions under current conditions. For each soil function the maximum potential was estimated across the European Union and changes in trade‐offs were assessed. By deriving current and potential soil function delivery from Bayesian networks a better understanding is gained of how different soil functions and their interdependencies can differ depending on soil, climate and management.Highlights When increasing a soil function, how do trade‐offs affect the other functions under different conditions? Bayesian networks evaluate trade‐offs between soil functions and estimate their maximal delivery. Maximizing a soil function has varied effects on other functions depending on soil, climate and management. Differences in trade‐offs make some locations more suitable for increasing a soil function then others.

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Complementing the topsoil information of the Land Use/Land Cover Area Frame Survey (LUCAS) with modelled N2O emissions

Cited by 29 publications

References 48 publications

Rewetting strategies to reduce nitrous oxide emissions from European peatlands

Rewetting strategies to reduce nitrous oxide emissions from European peatlands

Effects of climate change in the European croplands and grasslands: productivity, GHG balance and soil carbon storage

Spatial evaluation and trade‐off analysis of soil functions through Bayesian networks

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