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Fendrich AN, Ciais P, Panagos P, Martin P, Carozzi M, Guenet B, Lugato E. Including land management in a European carbon model with lateral transfer to the oceans. Environ Res 2024; 245:118014. [PMID: 38151146 DOI: 10.1016/j.envres.2023.118014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/11/2023] [Accepted: 12/21/2023] [Indexed: 12/29/2023]
Abstract
The use of cover crops (CCs) is a promising cropland management practice with multiple benefits, notably in reducing soil erosion and increasing soil organic carbon (SOC) storage. However, the current ability to represent these factors in land surface models remains limited to small scales or simplified and lumped approaches due to the lack of a sediment-carbon erosion displacement scheme. This precludes a thorough understanding of the consequences of introducing a CC into agricultural systems. In this work, this problem was addressed in two steps with the spatially distributed CE-DYNAM model. First, the historical effect of soil erosion, transport, and deposition on the soil carbon budget at a continental scale in Europe was characterized since the early industrial era, using reconstructed climate and land use forcings. Then, the impact of two distinct policy-oriented scenarios for the introduction of CCs were evaluated, covering the European cropping systems where surface erosion rates or nitrate susceptibility are critical. The evaluation focused on the increase in SOC storage and the export of particulate organic carbon (POC) to the oceans, compiling a continental-scale carbon budget. The results indicated that Europe exported 1.95 TgC/year of POC to the oceans in the last decade, and that CCs can contribute to reducing this amount while increasing SOC storage. Compared to the simulation without CCs, the additional rate of SOC storage induced by CCs peaked after 10 years of their adoption, followed by a decrease, and the cumulative POC export reduction stabilized after around 13 years. The findings indicate that the impacts of CCs on SOC and reduced POC export are persistent regardless of their spatial allocation adopted in the scenarios. Together, the results highlight the importance of taking the temporal aspect of CC adoption into account and indicate that CCs alone are not sufficient to meet the targets of the 4‰ initiative. Despite some known model limitations, which include the lack of feedback of erosion on the net primary productivity and the representation of carbon fluxes with an emulator, the current work constitutes the first approach to successfully couple a distributed routing scheme of eroded carbon to a land carbon model emulator at a reasonably high resolution and continental scale. SHORT ABSTRACT: A spatially distributed model coupling erosion, transport, and deposition to the carbon cycle was developed. Then, it was used to simulate the impact of cover crops on both erosion and carbon, to show that cover crops can simultaneously increase organic carbon storage and reduce particulate organic carbon export to the oceans. The results seemed persistent regardless of the spatial distribution of cover crops.
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Affiliation(s)
- Arthur N Fendrich
- European Commission, Joint Research Centre (JRC), Ispra, VA, Italy; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ-UPSACLAY, 91190, Gif sur Yvette, France; Université Paris-Saclay, INRAE, AgroParisTech, UMR SAD-APT, 91120, Palaiseau, France.
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ-UPSACLAY, 91190, Gif sur Yvette, France
| | - Panos Panagos
- European Commission, Joint Research Centre (JRC), Ispra, VA, Italy
| | - Philippe Martin
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SAD-APT, 91120, Palaiseau, France
| | - Marco Carozzi
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SAD-APT, 91120, Palaiseau, France
| | - Bertrand Guenet
- LG-ENS (Laboratoire de géologie) - CNRS UMR 8538 - École normale supérieure, PSL University - IPSL, Paris, France
| | - Emanuele Lugato
- European Commission, Joint Research Centre (JRC), Ispra, VA, Italy.
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2
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Olesen JE, Rees RM, Recous S, Bleken MA, Abalos D, Ahuja I, Butterbach-Bahl K, Carozzi M, De Notaris C, Ernfors M, Haas E, Hansen S, Janz B, Lashermes G, Massad RS, Petersen SO, Rittl TF, Scheer C, Smith KE, Thiébeau P, Taghizadeh-Toosi A, Thorman RE, Topp CFE. Challenges of accounting nitrous oxide emissions from agricultural crop residues. Glob Chang Biol 2023; 29:6846-6855. [PMID: 37800369 DOI: 10.1111/gcb.16962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/14/2023] [Accepted: 09/11/2023] [Indexed: 10/07/2023]
Abstract
Crop residues are important inputs of carbon (C) and nitrogen (N) to soils and thus directly and indirectly affect nitrous oxide (N2 O) emissions. As the current inventory methodology considers N inputs by crop residues as the sole determining factor for N2 O emissions, it fails to consider other underlying factors and processes. There is compelling evidence that emissions vary greatly between residues with different biochemical and physical characteristics, with the concentrations of mineralizable N and decomposable C in the residue biomass both enhancing the soil N2 O production potential. High concentrations of these components are associated with immature residues (e.g., cover crops, grass, legumes, and vegetables) as opposed to mature residues (e.g., straw). A more accurate estimation of the short-term (months) effects of the crop residues on N2 O could involve distinguishing mature and immature crop residues with distinctly different emission factors. The medium-term (years) and long-term (decades) effects relate to the effects of residue management on soil N fertility and soil physical and chemical properties, considering that these are affected by local climatic and soil conditions as well as land use and management. More targeted mitigation efforts for N2 O emissions, after addition of crop residues to the soil, are urgently needed and require an improved methodology for emission accounting. This work needs to be underpinned by research to (1) develop and validate N2 O emission factors for mature and immature crop residues, (2) assess emissions from belowground residues of terminated crops, (3) improve activity data on management of different residue types, in particular immature residues, and (4) evaluate long-term effects of residue addition on N2 O emissions.
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Affiliation(s)
- Jørgen E Olesen
- Department of Agroecology, iCLIMATE, Land-CRAFT, Aarhus University, Tjele, Denmark
| | | | - Sylvie Recous
- INRAE, FARE UMR, Université de Reims Champagne Ardenne, Reims, France
| | - Marina A Bleken
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Diego Abalos
- Department of Agroecology, iCLIMATE, Land-CRAFT, Aarhus University, Tjele, Denmark
| | - Ishita Ahuja
- NORSØK-Norwegian Centre for Organic Agriculture, Tingvoll, Norway
- Norwegian Institute of Bioeconomy Research (NIBIO), Steinkjer, Norway
| | - Klaus Butterbach-Bahl
- Department of Agroecology, iCLIMATE, Land-CRAFT, Aarhus University, Tjele, Denmark
- Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
| | - Marco Carozzi
- INRAE, AgroParisTech, UMR ECOSYS, Université Paris-Saclay, Palaiseau, France
| | - Chiara De Notaris
- Department of Agroecology, iCLIMATE, Land-CRAFT, Aarhus University, Tjele, Denmark
- Impacts on Agriculture, Forests and Ecosystem Services Division, Euro-Mediterranean Center on Climate Change, Viterbo, Italy
| | - Maria Ernfors
- Department of Biosystems and Technology, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - Edwin Haas
- Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
| | - Sissel Hansen
- NORSØK-Norwegian Centre for Organic Agriculture, Tingvoll, Norway
| | - Baldur Janz
- Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
| | | | - Raia S Massad
- INRAE, AgroParisTech, UMR ECOSYS, Université Paris-Saclay, Palaiseau, France
| | - Søren O Petersen
- Department of Agroecology, iCLIMATE, Land-CRAFT, Aarhus University, Tjele, Denmark
| | - Tatiana F Rittl
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
- NORSØK-Norwegian Centre for Organic Agriculture, Tingvoll, Norway
| | - Clemens Scheer
- Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany
| | | | - Pascal Thiébeau
- INRAE, FARE UMR, Université de Reims Champagne Ardenne, Reims, France
| | - Arezoo Taghizadeh-Toosi
- Department of Agroecology, iCLIMATE, Land-CRAFT, Aarhus University, Tjele, Denmark
- Danish Technological Institute, Aarhus N, Denmark
- Centre for Ecology & Hydrology, Lancaster Environment Centre, Lancaster, UK
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3
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Fendrich AN, Matthews F, Van Eynde E, Carozzi M, Li Z, d'Andrimont R, Lugato E, Martin P, Ciais P, Panagos P. From regional to parcel scale: A high-resolution map of cover crops across Europe combining satellite data with statistical surveys. Sci Total Environ 2023; 873:162300. [PMID: 36828062 DOI: 10.1016/j.scitotenv.2023.162300] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/12/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
The reformed Common Agricultural Policy of 2023-2027 aims to promote a more sustainable and fair agricultural system in the European Union. Among the proposed measures, the incentivized adoption of cover crops to cover the soil during winter provides numerous benefits such as improved soil structure and reduced nutrient leaching and erosion. Despite this recognized importance, the availability of spatial data on cover crops is scarce. The increasing availability of field parcel declarations in the European Union has not yet filled this data gap due to its insufficient information content, limited public availability and a lack of standardization at continental scale. At present, the best information available is regionally aggregated survey data, which although indicative, hinders the development of spatially accurate studies. In this work, we propose a statistical model relating Sentinel-1 data to the existence of cover crops at the 100-m spatial resolution over the entirety of the European Union and United Kingdom and estimate its parameters using the spatially aggregated survey data. To validate the method in a spatially-explicit way, predictions were compared against farmers' registered declarations in France, where the adoption of cover crops is widespread. The results indicate a good agreement between predictions and parcel-level data. When interpreted as a binary classifier, the model yielded an Area Under the Curve (AUC) of 0.74 for the whole country. When the country was divided into five regions for the evaluation of regional biases, the AUC values were 0.77, 0.75, 0.74, 0.70, and 0.65 for the North, Center, West, East, and South regions respectively. Despite limitations such as the lack of data for validation outside France, and the non-standardized nomenclature for cover crops among Member States, this work constitutes the first effort to obtain a relevant cover crop map at a European scale for researchers and practitioners.
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Affiliation(s)
- Arthur Nicolaus Fendrich
- European Commission, Joint Research Centre (JRC), Ispra 21027, Italy; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ-UPSACLAY, Gif sur Yvette 91190, France; Université Paris-Saclay, INRAE, AgroParisTech, UMR SAD-APT, 91120, Palaiseau, France.
| | - Francis Matthews
- European Commission, Joint Research Centre (JRC), Ispra 21027, Italy; KU Leuven, Unit of Geography and Tourism, Celestijnenlaan 200e, Leuven 3001, Belgium
| | - Elise Van Eynde
- European Commission, Joint Research Centre (JRC), Ispra 21027, Italy
| | - Marco Carozzi
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SAD-APT, 91120, Palaiseau, France
| | - Zheyuan Li
- School of Mathematics and Statistics, Henan University, Kaifeng 475001, China; Department of Statistics and Actuarial Science, Simon Fraser University, University Dr W, 8888, Burnaby, BC V5A 1S6, Canada
| | | | - Emanuele Lugato
- European Commission, Joint Research Centre (JRC), Ispra 21027, Italy
| | - Philippe Martin
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SAD-APT, 91120, Palaiseau, France
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ-UPSACLAY, Gif sur Yvette 91190, France
| | - Panos Panagos
- European Commission, Joint Research Centre (JRC), Ispra 21027, Italy
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4
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Albanito F, McBey D, Harrison M, Smith P, Ehrhardt F, Bhatia A, Bellocchi G, Brilli L, Carozzi M, Christie K, Doltra J, Dorich C, Doro L, Grace P, Grant B, Léonard J, Liebig M, Ludemann C, Martin R, Meier E, Meyer R, De Antoni Migliorati M, Myrgiotis V, Recous S, Sándor R, Snow V, Soussana JF, Smith WN, Fitton N. How Modelers Model: the Overlooked Social and Human Dimensions in Model Intercomparison Studies. Environ Sci Technol 2022; 56:13485-13498. [PMID: 36052879 PMCID: PMC9494747 DOI: 10.1021/acs.est.2c02023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/23/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, we applied a multi-criteria decision-making method to investigate the rationale applied by modelers in a model ensemble study where 12 process-based different biogeochemical model types were compared across five successive calibration stages. The modelers shared a common level of agreement about the importance of the variables used to initialize their models for calibration. However, we found inconsistency among modelers when judging the importance of input variables across different calibration stages. The level of subjective weighting attributed by modelers to calibration data decreased sequentially as the extent and number of variables provided increased. In this context, the perceived importance attributed to variables such as the fertilization rate, irrigation regime, soil texture, pH, and initial levels of soil organic carbon and nitrogen stocks was statistically different when classified according to model types. The importance attributed to input variables such as experimental duration, gross primary production, and net ecosystem exchange varied significantly according to the length of the modeler's experience. We argue that the gradual access to input data across the five calibration stages negatively influenced the consistency of the interpretations made by the modelers, with cognitive bias in "trial-and-error" calibration routines. Our study highlights that overlooking human and social attributes is critical in the outcomes of modeling and model intercomparison studies. While complexity of the processes captured in the model algorithms and parameterization is important, we contend that (1) the modeler's assumptions on the extent to which parameters should be altered and (2) modeler perceptions of the importance of model parameters are just as critical in obtaining a quality model calibration as numerical or analytical details.
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Affiliation(s)
- Fabrizio Albanito
- Institute
of Biological and Environmental Sciences, School of Biological Science, University of Aberdeen, 23 Street Machar Drive, Aberdeen AB24 3UU, U.K.
| | - David McBey
- Institute
of Biological and Environmental Sciences, School of Biological Science, University of Aberdeen, 23 Street Machar Drive, Aberdeen AB24 3UU, U.K.
| | - Matthew Harrison
- Tasmanian
Institute of Agriculture, University of
Tasmania, Newnham Drive, Launceston, Tasmania 7248, Australia
| | - Pete Smith
- Institute
of Biological and Environmental Sciences, School of Biological Science, University of Aberdeen, 23 Street Machar Drive, Aberdeen AB24 3UU, U.K.
| | - Fiona Ehrhardt
- INRAE,
CODIR, Paris 75007, France
- RITTMO
AgroEnvironnement, Colmar 68000, France
| | - Arti Bhatia
- ICAR-Indian
Agricultural Research Institute, New Delhi 110012, India
| | - Gianni Bellocchi
- Université
Clermont Auvergne, INRAE, VetAgro Sup, UREP, Clermont-Ferrand 63000, France
| | - Lorenzo Brilli
- CNR-IBE,
National Research Council Institute for the BioEconomy, Via Caproni 8, Florence 50145, Italy
| | - Marco Carozzi
- UMR
ECOSYS, INRAE, AgroParisTech, Université Paris-Saclay, Thiverval-Grignon 78850, France
| | - Karen Christie
- Tasmanian
Institute of Agriculture, University of
Tasmania, 16-20 Mooreville Road, Burnie, Tasmania 7320, Australia
| | - Jordi Doltra
- Sustainable
Field Crops Programme, Institute of Agrifood
Research and Technology (IRTA) Mas Badia, La Tallada d’Empordà, Girona 17134, Spain
| | - Christopher Dorich
- Natural
Resource Ecology Lab, Colorado
State University, Fort Collins, Colorado 80521, United States
| | - Luca Doro
- Texas A&M AgriLife Research, Blackland
Research and Extension Center, Temple, Texas 76502, United States
- Desertification Research Centre, University
of Sassari, Sassari 07100, Italy
| | - Peter Grace
- Queensland University of Technology, Brisbane, Queensland 4000, Australia
| | - Brian Grant
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario K1A 0C6, Canada
| | - Joël Léonard
- BioEcoAgro
Joint Research Unit, INRAE, Barenton-Bugny 02000, France
| | - Mark Liebig
- USDA-ARS Northern Great Plains Research
Laboratory, P.O. Box 459, Mandan, North Dakota 58554, United States
| | | | - Raphael Martin
- Université
Clermont Auvergne, INRAE, VetAgro Sup, UREP, Clermont-Ferrand 63000, France
| | - Elizabeth Meier
- CSIRO Agriculture
and Food, St
Lucia, Queensland 4067, Australia
| | - Rachelle Meyer
- Faculty of Veterinary & Agricultural
Sciences, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Massimiliano De Antoni Migliorati
- Queensland University of Technology, Brisbane, Queensland 4000, Australia
- Department of Environment and Science, Dutton Park, Queensland 4102, Australia
| | | | - Sylvie Recous
- Université
de Reims Champagne-Ardenne, INRAE, FARE Laboratory, Reims 51100, France
| | - Renáta Sándor
- Agricultural Institute, Centre for Agricultural Research,
ELKH, Martonvásár 2462, Hungary
| | - Val Snow
- AgResearch, P.O. Box 4749, Christchurch 8140, New
Zealand
| | | | - Ward N. Smith
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Ontario K1A 0C6, Canada
| | - Nuala Fitton
- Institute
of Biological and Environmental Sciences, School of Biological Science, University of Aberdeen, 23 Street Machar Drive, Aberdeen AB24 3UU, U.K.
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5
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Haas E, Carozzi M, Massad RS, Butterbach-Bahl K, Scheer C. Long term impact of residue management on soil organic carbon stocks and nitrous oxide emissions from European croplands. Sci Total Environ 2022; 836:154932. [PMID: 35447172 DOI: 10.1016/j.scitotenv.2022.154932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/25/2022] [Accepted: 03/27/2022] [Indexed: 06/14/2023]
Abstract
Application of crop residues to agricultural fields is a significant source of the greenhouse gas nitrous oxide (N2O) and an essential factor affecting the soil organic carbon (SOC) balance. Here we present a biogeochemical modelling study assessing the impact of crop residue management on soil C stocks and N2O fluxes for EU-27 using available information on soils, management and climate and by testing various scenarios of residue management. Three biogeochemical models, i.e. CERES-EGC, LandscapeDNDC and LandscapeDNDC-MeTrx, were used in an ensemble approach on a grid of 0.25° × 0.25° spatial resolution for calculating EU-27 wide inventories of changes in SOC stocks and N2O emissions due to residue management for the years 2000-2100 using different climate change projections (RCP4.5 and RCP8.5). Our results show, that climate change poses a threat to cropping systems in Europe, resulting in potential yield declines, increased N2O emissions and loss of SOC. This highlights the need for adapting crop management to mitigate climate change impacts, e.g. by improved residue management. For a scenario with 100% residues retention and reduced tillage we calculated that in average SOC stocks may increase over 50-100 years by 19-23% under RCP8.5 and RCP4.5. However, complete retention of crop residues also resulted in an increase of soil N2O emissions by 17-30%, so that climate benefits due to increases in SOC stocks were eventually compensated by increased N2O emissions. The long-term EFN2O for residue N incorporation was 1.18% and, thus slightly higher as the 1% value used by IPCC. We conclude that residue management can be an important strategy for mitigating climate change impacts on SOC stocks, though it requires as well improvements in N management for N2O mitigation.
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Affiliation(s)
- Edwin Haas
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany.
| | - Marco Carozzi
- Université Paris-Saclay, INRAE, AgroParisTech, UMR SADAPT, 78850 Thiverval-Grignon, France; Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 78850 Thiverval-Grignon, France
| | - Raia Silvia Massad
- Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, 78850 Thiverval-Grignon, France
| | - Klaus Butterbach-Bahl
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
| | - Clemens Scheer
- Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Kreuzeckbahnstrasse 19, 82467 Garmisch-Partenkirchen, Germany
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6
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Sándor R, Ehrhardt F, Brilli L, Carozzi M, Recous S, Smith P, Snow V, Soussana JF, Dorich CD, Fuchs K, Fitton N, Gongadze K, Klumpp K, Liebig M, Martin R, Merbold L, Newton PCD, Rees RM, Rolinski S, Bellocchi G. The use of biogeochemical models to evaluate mitigation of greenhouse gas emissions from managed grasslands. Sci Total Environ 2018; 642:292-306. [PMID: 29902627 DOI: 10.1016/j.scitotenv.2018.06.020] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Revised: 05/15/2018] [Accepted: 06/02/2018] [Indexed: 06/08/2023]
Abstract
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.
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Affiliation(s)
- Renáta Sándor
- INRA, VetAgro Sup, UCA, Unité Mixte de Recherche sur l'Écosystème Prairial (UREP), 63000 Clermont-Ferrand, France; Agricultural Institute, CAR HAS, 2462 Martonvásár, Hungary
| | | | - Lorenzo Brilli
- University of Florence, DISPAA, 50144 Florence, Italy; IBIMET-CNR, 50145 Florence, Italy
| | - Marco Carozzi
- Agroscope Research Station, Climate Agriculture Group, Zurich, Switzerland
| | - Sylvie Recous
- FARE Laboratory, INRA, Université de Reims Champagne-Ardenne, 51100 Reims, France
| | - Pete Smith
- Institute of Biological & Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, United Kingdom
| | - Val Snow
- AgResearch - Lincoln Research Centre, Private Bag 4749, Christchurch 8140, New Zealand
| | | | | | - Kathrin Fuchs
- Department of Environmental Systems Science, Institute of Agricultural Sciences, ETH Zürich, 8092 Zurich, Switzerland
| | - Nuala Fitton
- Institute of Biological & Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, United Kingdom
| | - Kate Gongadze
- Rothamsted Research, Sustainable Soil and Grassland Systems Department, United Kingdom
| | - Katja Klumpp
- INRA, VetAgro Sup, UCA, Unité Mixte de Recherche sur l'Écosystème Prairial (UREP), 63000 Clermont-Ferrand, France
| | | | - Raphaël Martin
- INRA, VetAgro Sup, UCA, Unité Mixte de Recherche sur l'Écosystème Prairial (UREP), 63000 Clermont-Ferrand, France
| | - Lutz Merbold
- Department of Environmental Systems Science, Institute of Agricultural Sciences, ETH Zürich, 8092 Zurich, Switzerland; Mazingira Centre, International Livestock Research Institute, 00100 Nairobi, Kenya
| | - Paul C D Newton
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North 4442, New Zealand
| | - Robert M Rees
- Scotland's Rural College, EH9 3JG Edinburgh, United Kingdom
| | - Susanne Rolinski
- Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany
| | - Gianni Bellocchi
- INRA, VetAgro Sup, UCA, Unité Mixte de Recherche sur l'Écosystème Prairial (UREP), 63000 Clermont-Ferrand, France.
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7
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Brilli L, Bechini L, Bindi M, Carozzi M, Cavalli D, Conant R, Dorich CD, Doro L, Ehrhardt F, Farina R, Ferrise R, Fitton N, Francaviglia R, Grace P, Iocola I, Klumpp K, Léonard J, Martin R, Massad RS, Recous S, Seddaiu G, Sharp J, Smith P, Smith WN, Soussana JF, Bellocchi G. Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes. Sci Total Environ 2017; 598:445-470. [PMID: 28454025 DOI: 10.1016/j.scitotenv.2017.03.208] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 03/21/2017] [Accepted: 03/22/2017] [Indexed: 05/21/2023]
Abstract
Biogeochemical simulation models are important tools for describing and quantifying the contribution of agricultural systems to C sequestration and GHG source/sink status. The abundance of simulation tools developed over recent decades, however, creates a difficulty because predictions from different models show large variability. Discrepancies between the conclusions of different modelling studies are often ascribed to differences in the physical and biogeochemical processes incorporated in equations of C and N cycles and their interactions. Here we review the literature to determine the state-of-the-art in modelling agricultural (crop and grassland) systems. In order to carry out this study, we selected the range of biogeochemical models used by the CN-MIP consortium of FACCE-JPI (http://www.faccejpi.com): APSIM, CERES-EGC, DayCent, DNDC, DSSAT, EPIC, PaSim, RothC and STICS. In our analysis, these models were assessed for the quality and comprehensiveness of underlying processes related to pedo-climatic conditions and management practices, but also with respect to time and space of application, and for their accuracy in multiple contexts. Overall, it emerged that there is a possible impact of ill-defined pedo-climatic conditions in the unsatisfactory performance of the models (46.2%), followed by limitations in the algorithms simulating the effects of management practices (33.1%). The multiplicity of scales in both time and space is a fundamental feature, which explains the remaining weaknesses (i.e. 20.7%). Innovative aspects have been identified for future development of C and N models. They include the explicit representation of soil microbial biomass to drive soil organic matter turnover, the effect of N shortage on SOM decomposition, the improvements related to the production and consumption of gases and an adequate simulations of gas transport in soil. On these bases, the assessment of trends and gaps in the modelling approaches currently employed to represent biogeochemical cycles in crop and grassland systems appears an essential step for future research.
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Affiliation(s)
- Lorenzo Brilli
- Università degli Studi di Firenze, Department of Agri-Food Production and Environmental Sciences, 50144 Florence, Italy; IBIMET-CNR, Via Caproni 8, 50145 Firenze, Italy.
| | - Luca Bechini
- Università degli Studi di Milano, Department of Agricultural and Environmental Sciences, Milan, Italy
| | - Marco Bindi
- Università degli Studi di Firenze, Department of Agri-Food Production and Environmental Sciences, 50144 Florence, Italy
| | - Marco Carozzi
- INRA, AgroParisTech, UMR1402 EcoSys, 78850 Thiverval-Grignon, France
| | - Daniele Cavalli
- Università degli Studi di Milano, Department of Agricultural and Environmental Sciences, Milan, Italy
| | - Richard Conant
- NREL, Colorado State University, Fort Collins, CO 80523, USA
| | | | - Luca Doro
- Desertification Research Centre, Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy; Texas A&M AgriLife Research, Blackland Research & Extension Center, Temple, (TX), USA
| | | | - Roberta Farina
- CREA-RPS, Research Centre for the Soil-Plant System, Via della Navicella 2-4, 00184 Roma, Italy
| | - Roberto Ferrise
- Università degli Studi di Firenze, Department of Agri-Food Production and Environmental Sciences, 50144 Florence, Italy
| | - Nuala Fitton
- Institute of Biological and Environmental Sciences, University of Aberdeen, St Machar Drive, AB24 3UU Aberdeen, UK
| | - Rosa Francaviglia
- CREA-RPS, Research Centre for the Soil-Plant System, Via della Navicella 2-4, 00184 Roma, Italy
| | - Peter Grace
- Queensland University of Technology, Brisbane, Australia
| | - Ileana Iocola
- Desertification Research Centre, Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy
| | | | - Joël Léonard
- INRA, UR 1158 AgroImpact, site de Laon, F-02000 Barenton-Bugny, France
| | | | | | | | - Giovanna Seddaiu
- Desertification Research Centre, Department of Agricultural Sciences, University of Sassari, 07100 Sassari, Italy
| | - Joanna Sharp
- New Zealand Institute for Plant and Food Research, 7608 Lincoln, New Zealand
| | - Pete Smith
- Institute of Biological and Environmental Sciences, University of Aberdeen, St Machar Drive, AB24 3UU Aberdeen, UK
| | - Ward N Smith
- Agriculture and Agri-Food Canada, Ottawa, Ontario K1A 0C6, Canada
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Riva C, Orzi V, Carozzi M, Acutis M, Boccasile G, Lonati S, Tambone F, D'Imporzano G, Adani F. Short-term experiments in using digestate products as substitutes for mineral (N) fertilizer: Agronomic performance, odours, and ammonia emission impacts. Sci Total Environ 2016; 547:206-214. [PMID: 26780147 DOI: 10.1016/j.scitotenv.2015.12.156] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Revised: 12/29/2015] [Accepted: 12/30/2015] [Indexed: 05/10/2023]
Abstract
Anaerobic digestion produces a biologically stable and high-value fertilizer product, the digestate, which can be used as an alternative to mineral fertilizers on crops. However, misuse of digestate can lead to annoyance for the public (odours) and to environmental problems such as nitrate leaching and ammonia emissions into the air. Full field experimental data are needed to support the use of digestate in agriculture, promoting its correct management. In this work, short-term experiments were performed to substitute mineral N fertilizers (urea) with digestate and products derived from it to the crop silage maize. Digestate and the liquid fraction of digestate were applied to soil at pre-sowing and as topdressing fertilizers in comparison with urea, both by surface application and subsurface injection during the cropping seasons 2012 and 2013. After each fertilizer application, both odours and ammonia emissions were measured, giving data about digestate and derived products' impacts. The AD products could substitute for urea without reducing crop yields, apart from the surface application of AD-derived fertilizers. Digestate and derived products, because of high biological stability acquired during the AD, had greatly reduced olfactometry impact, above all when they were injected into soils (82-88% less odours than the untreated biomass, i.e. cattle slurry). Ammonia emission data indicated, as expected, that the correct use of digestate and derived products required their injection into the soil avoiding, ammonia volatilization into the air and preserving fertilizer value. Sub-surface injection allowed ammonia emissions to be reduced by 69% and 77% compared with surface application during the 2012 and 2013 campaigns.
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Affiliation(s)
- C Riva
- Gruppo Ricicla, Lab. Agricoltura e Ambiente, DiSAA, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - V Orzi
- Gruppo Ricicla, Lab. Agricoltura e Ambiente, DiSAA, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - M Carozzi
- DiSAA, sez. Agronomia, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - M Acutis
- DiSAA, sez. Agronomia, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - G Boccasile
- DG Agricoltura, Regione Lombardia, Piazza Lombardia, Milano, Italy
| | - S Lonati
- Gruppo Ricicla, Lab. Agricoltura e Ambiente, DiSAA, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - F Tambone
- Gruppo Ricicla, Lab. Agricoltura e Ambiente, DiSAA, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - G D'Imporzano
- Gruppo Ricicla, Lab. Agricoltura e Ambiente, DiSAA, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
| | - F Adani
- Gruppo Ricicla, Lab. Agricoltura e Ambiente, DiSAA, Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy
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Carozzi M, Ferrara RM, Rana G, Acutis M. Evaluation of mitigation strategies to reduce ammonia losses from slurry fertilisation on arable lands. Sci Total Environ 2013; 449:126-133. [PMID: 23416989 DOI: 10.1016/j.scitotenv.2012.12.082] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Revised: 12/24/2012] [Accepted: 12/26/2012] [Indexed: 06/01/2023]
Abstract
To evaluate the best practices in reducing ammonia (NH3) losses from fertilised arable lands, six field trials were carried out in three different locations in northern Italy. NH3 emissions from cattle slurry were estimated considering the spreading techniques and the field incorporation procedures. The measurements were performed using long term exposure samplers associated to the determination of the atmospheric turbulence and the use of the backward Lagrangian stochastic (bLS) model WindTrax. The results obtained indicate that the NH3 emission process was exhausted in the first 24-48 h after slurry spreading. The slurry incorporation technique was able to reduce the NH3 losses with respect to the surface spreading, where a contextual incorporation led to reductions up to 87%. However, the best abatement strategy for NH3 losses from slurry applications has proved to be the direct injection into the soil, with a reduction of about 95% with respect to the surface spreading. The results obtained highlight the strong dependence of the volatilisation phenomenon by soil and weather conditions.
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Affiliation(s)
- M Carozzi
- University of Milan, Department of Agricultural and Environmental Sciences, via Celoria 2, 20133 Milan, Italy.
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Tamaro G, Simeone R, Mangiarotti M, Carozzi M, Ciana G, Martini C, Bembi B. Carbohydrate-deficient transferrin assay in pediatrics and pregnancy: expression of results. Int J Clin Lab Res 1998; 28:140. [PMID: 9689558 DOI: 10.1007/s005990050034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Carozzi M, De Manzini A, Giorgi A, Osbich A. [Acute inflammatory polyradiculoneuritis during bone marrow transplantation. A report of 2 cases]. Pediatr Med Chir 1994; 16:163-5. [PMID: 8078793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Acute polyradiculoneuritis (AP) is a self-immunity based disease of the peripheral nerve caused by macrophages, usually activated by T-lymphocytes. Recent clinical and experimental evidence show that early high dose treatment with Ig slows disease progression. In this study, two cases of AP with different onset in two patients showing definitely compromised cellular and/or humoral immunity, are reported. The hypothesis that the different temporal profiles may be related to a distinct involvement of the immunity system and the effectiveness of high dose Ig treatment in blocking the disease's evolution are discussed.
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Affiliation(s)
- M Carozzi
- Divisione di Neuropsichiatria Infantile, Istituto per l'Infanzia Burlo Garofolo, Trieste, Italia
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