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Petersen SO, Ma C, Hilgert JE, Mjöfors K, Sefeedpari P, Amon B, Aarnink A, Francó B, Dragoni F, Groenestein K, Gyldenkærne S, Herrmann C, Hutchings NJ, Kristensen IS, Liu J, Olesen JE, Rodhe L. In-vitro method and model to estimate methane emissions from liquid manure management on pig and dairy farms in four countries. J Environ Manage 2024; 353:120233. [PMID: 38330838 DOI: 10.1016/j.jenvman.2024.120233] [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: 10/28/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
Methane (CH4) emissions from manure management on livestock farms are a key source of greenhouse gas emissions in some regions and for some production systems, and the opportunities for mitigation may be significant if emissions can be adequately documented. We investigated a method for estimating CH4 emissions from liquid manure (slurry) that is based on anaerobic incubation of slurry collected from commercial farms. Methane production rates were used to derive a parameter of the Arrhenius temperature response function, lnA', representing the CH4 production potential of the slurry at the time of sampling. Results were used for parameterization of an empirical model to estimate annual emissions with daily time steps, where CH4 emissions from individual sources (barns, outside storage tanks) can be calculated separately. A monitoring program was conducted in four countries, i.e., Denmark, Sweden, Germany and the Netherlands, during a 12-month period where slurry was sampled to represent barn and outside storage on finishing pig and dairy farms. Across the four countries, lnA' was higher in pig slurry compared to cattle slurry (p < 0.01), and higher in slurry from barns compared to outside storage (p < 0.01). In a separate evaluation of the incubation method, in-vitro CH4 production rates were comparable with in-situ emissions. The results indicate that lnA' in barns increases with slurry age, probably due to growth or adaptation of the methanogenic microbial community. Using lnA' values determined experimentally, empirical models with daily time steps were constructed for finishing pig and dairy farms and used for scenario analyses. Annual emissions from pig slurry were predicted to be 2.5 times higher than those from cattle slurry. Changing the frequency of slurry export from the barn on the model pig farm from 40 to 7 d intervals reduced total annual CH4 emissions by 46 %; this effect would be much less on cattle farms with natural ventilation. In a scenario with cattle slurry, the empirical model was compared with the current IPCC methodology. The seasonal dynamics were less pronounced, and annual CH4 emissions were lower than with the current methodology, which calls for further investigations. Country-specific models for individual animal categories and point sources could be a tool for assessing CH4 emissions and mitigation potentials at farm level.
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Affiliation(s)
| | - Chun Ma
- Department of Agroecology, Aarhus University, Tjele, Denmark
| | - Julio E Hilgert
- Leibniz Institute of Agricultural Engineering and Bioeconomy, Potsdam, Germany
| | | | - Paria Sefeedpari
- Wageningen Livestock Research, Wageningen University and Research, the Netherlands
| | - Barbara Amon
- Leibniz Institute of Agricultural Engineering and Bioeconomy, Potsdam, Germany; University of Zielona Góra, Faculty of Civil Engineering, Architecture and Environmental Engineering, Zielona Góra, Poland
| | - André Aarnink
- Wageningen Livestock Research, Wageningen University and Research, the Netherlands
| | | | - Federico Dragoni
- Leibniz Institute of Agricultural Engineering and Bioeconomy, Potsdam, Germany
| | - Karin Groenestein
- Wageningen Livestock Research, Wageningen University and Research, the Netherlands
| | | | - Christiane Herrmann
- Leibniz Institute of Agricultural Engineering and Bioeconomy, Potsdam, Germany
| | | | - Ib S Kristensen
- Department of Agroecology, Aarhus University, Tjele, Denmark
| | - Jing Liu
- BPC Instruments, Lund, Sweden; Lund University, Lund, Sweden
| | - Jørgen E Olesen
- Department of Agroecology, Aarhus University, Tjele, Denmark
| | - Lena Rodhe
- RISE Research Institutes of Sweden, Uppsala, Sweden
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Horsdal HT, Pedersen MG, Schullehner J, Østergaard CS, Mcgrath JJ, Agerbo E, Timmermann A, Closter AM, Brandt J, Christensen JH, Frohn LM, Geels C, Ketzel M, Khan J, Ørby PV, Olsen Y, Levin G, Svenning JC, Engemann K, Gyldenkærne S, Hansen B, Hertel O, Sabel CE, Erikstrup C, Sigsgaard T, Pedersen CB. Perspectives on environment and health research in Denmark. Scand J Public Health 2023:14034948231178076. [PMID: 37278162 DOI: 10.1177/14034948231178076] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
AIMS We provide an overview of nationwide environmental data available for Denmark and its linkage potentials to individual-level records with the aim of promoting research on the potential impact of the local surrounding environment on human health. BACKGROUND Researchers in Denmark have unique opportunities for conducting large population-based studies treating the entire Danish population as one big, open and dynamic cohort based on nationally complete population and health registries. So far, most research in this area has utilised individual- and family-level information to study the clustering of disease in families, comorbidities, risk of, and prognosis after, disease onset, and social gradients in disease risk. Linking environmental data in time and space to individuals enables novel possibilities for studying the health effects of the social, built and physical environment. METHODS We describe the possible linkage between individuals and their local surrounding environment to establish the exposome - that is, the total environmental exposure of an individual over their life course. CONCLUSIONS The currently available nationwide longitudinal environmental data in Denmark constitutes a valuable and globally rare asset that can help explore the impact of the exposome on human health.
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Affiliation(s)
- Henriette T Horsdal
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
| | - Marianne G Pedersen
- National Centre for Register-based Research, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Jörg Schullehner
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
- Geological Survey of Denmark and Greenland, Denmark
| | - Cecilie S Østergaard
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - John J Mcgrath
- National Centre for Register-based Research, Aarhus University, Denmark
- Queensland Brain Institute, The University of Queensland, Australia
- Queensland Centre for Mental Health Research, Australia
| | - Esben Agerbo
- National Centre for Register-based Research, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Allan Timmermann
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Ane Marie Closter
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Denmark
| | | | - Lise M Frohn
- Department of Environmental Science, Aarhus University, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Denmark
- Global Centre for Clean Air Research, University of Surrey, UK
| | - Jibran Khan
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Environmental Science, Aarhus University, Denmark
| | - Pia V Ørby
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Environmental Science, Aarhus University, Denmark
| | - Yulia Olsen
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Gregor Levin
- Department of Environmental Science, Aarhus University, Denmark
| | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere & Center for Biodiversity Dynamics in a Changing World, Department of Biology, Aarhus University, Denmark
| | - Kristine Engemann
- Center for Ecological Dynamics in a Novel Biosphere & Center for Biodiversity Dynamics in a Changing World, Department of Biology, Aarhus University, Denmark
| | | | | | - Ole Hertel
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Ecoscience, Aarhus University, Denmark
| | - Clive E Sabel
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Christian Erikstrup
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Clinical Immunology, Aarhus University Hospital, Denmark
| | - Torben Sigsgaard
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Department of Public Health, Aarhus University, Denmark
| | - Carsten B Pedersen
- National Centre for Register-based Research, Aarhus University, Denmark
- Big Data Centre for Environment and Health, Aarhus University, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Denmark
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Patel DM, Gyldenkærne S, Jones RR, Olsen SF, Tikellis G, Granström C, Dwyer T, Stayner LT, Ward MH. Residential proximity to agriculture and risk of childhood leukemia and central nervous system tumors in the Danish national birth cohort. Environ Int 2020; 143:105955. [PMID: 32711331 PMCID: PMC10115138 DOI: 10.1016/j.envint.2020.105955] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [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: 12/23/2019] [Revised: 05/15/2020] [Accepted: 07/02/2020] [Indexed: 05/07/2023]
Abstract
BACKGROUND Living in an agricultural area or on farms has been associated with increased risk of childhood cancer but few studies have evaluated specific agricultural exposures. We prospectively examined residential proximity to crops and animals during pregnancy and risk of childhood leukemia and central nervous system (CNS) tumors in Denmark. METHODS The Danish National Birth Cohort (DNBC) consists of 91,769 pregnant women (96,841 live-born children) enrolled in 1996-2003. For 61 childhood leukemias and 59 CNS tumors <15 years of age that were diagnosed through 2014 and a ~10% random sample of the live births (N = 9394) with geocoded addresses, we linked pregnancy addresses to crop fields and animal farm locations and estimated the crop area (hectares [ha]) and number of animals (standardized by their nitrogen emissions) by type within 250 meters (m), 500 m, 1000 m, and 2000 m of the home. We also estimated pesticide applications (grams, active ingredient) based on annual sales data for nine herbicides and one fungicide that were estimated to have been applied to >30% of the area of one or more crop. We used Cox proportional hazard models (weighted to the full cohort) to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association of childhood leukemia and CNS tumors with crop area, animals, and pesticide applications adjusted for gender and maternal age. RESULTS Sixty-three percent of mothers had crops within 500 m of their homes during pregnancy; winter and spring cereals were the major crop types. Compared to mothers with no crops <500 m, we found increasing risk of childhood leukemia among offspring of mothers with increasing crop area near their home (highest tertile >24 ha HR: 2.0, CI:1.02-3.8), which was stronger after adjustment for animals (within 1000 m) (HR: 2.6, CI:1.02-6.8). We also observed increased risk for grass/clover (highest tertile >1.1 ha HR: 3.1, CI:1.2-7.7), peas (>0 HR: 2.4, CI: 1.02-5.4), and maize (>0 HR: 2.8, CI: 1.1-6.9) in animal-adjusted models. We found no association between number of animals near homes and leukemia risk. Crops, total number of animals, and hogs within 500 m of the home were not associated with CNS tumors but we observed an increased risk with >median cattle compared with no animals in crop-adjusted models (HR = 2.2, CI: 1.02-4.9). In models adjusted for total animals, the highest tertiles of use of three herbicides and one fungicide were associated with elevated risk of leukemia but no associations were statistically significant; there were no associations with CNS tumors. CONCLUSIONS Risk of childhood leukemia was associated with higher crop area near mothers' homes during pregnancy; CNS tumors were associated with higher cattle density. Quantitative estimates of crop pesticides and other agricultural exposures are needed to clarify possible reasons for these increased risks.
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Affiliation(s)
- Deven M Patel
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr., Rockville, MD 20850, USA
| | - Steen Gyldenkærne
- Aarhus University, Department of Environmental Science, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr., Rockville, MD 20850, USA
| | - Sjurdur F Olsen
- Department of Epidemiology Research, Center for Fetal Programming, Staten Serum Institute, Artillerivej 5, 2300 København, Denmark
| | - Gabriella Tikellis
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Charlotta Granström
- Department of Epidemiology Research, Center for Fetal Programming, Staten Serum Institute, Artillerivej 5, 2300 København, Denmark
| | - Terence Dwyer
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Leslie T Stayner
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Room 978a, Chicago, IL 60612, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Dr., Rockville, MD 20850, USA.
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Breeze TD, Vaissière BE, Bommarco R, Petanidou T, Seraphides N, Kozák L, Scheper J, Biesmeijer JC, Kleijn D, Gyldenkærne S, Moretti M, Holzschuh A, Steffan-Dewenter I, Stout JC, Pärtel M, Zobel M, Potts SG. Agricultural policies exacerbate honeybee pollination service supply-demand mismatches across Europe. PLoS One 2014; 9:e82996. [PMID: 24421873 PMCID: PMC3885438 DOI: 10.1371/journal.pone.0082996] [Citation(s) in RCA: 151] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Accepted: 11/07/2013] [Indexed: 11/19/2022] Open
Abstract
Declines in insect pollinators across Europe have raised concerns about the supply of pollination services to agriculture. Simultaneously, EU agricultural and biofuel policies have encouraged substantial growth in the cultivated area of insect pollinated crops across the continent. Using data from 41 European countries, this study demonstrates that the recommended number of honeybees required to provide crop pollination across Europe has risen 4.9 times as fast as honeybee stocks between 2005 and 2010. Consequently, honeybee stocks were insufficient to supply >90% of demands in 22 countries studied. These findings raise concerns about the capacity of many countries to cope with major losses of wild pollinators and highlight numerous critical gaps in current understanding of pollination service supplies and demands, pointing to a pressing need for further research into this issue.
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Affiliation(s)
- Tom D. Breeze
- Centre for Agri-Environmental Research, University of Reading, Reading, United Kingdom
- * E-mail:
| | | | | | | | | | - Lajos Kozák
- Department of Nature Conservation, Zoology and Game Management, University of Debrecen, Debrecen, Hungary
| | - Jeroen Scheper
- Animal Ecology Team, Alterra, Wageningen, The Netherlands
| | | | - David Kleijn
- Animal Ecology Team, Alterra, Wageningen, The Netherlands
- Resource Ecology Group, Wageningen University, Wageningen, The Netherlands
| | - Steen Gyldenkærne
- Danish Centre for Environment and Energy, Institution for Environmental Science, Aarhus University, Aarhus, Denmark
| | - Marco Moretti
- Community Ecology Research Unit Swiss Federal Institute for Forest, Snow and Landscape Research, Bellinzona, Switzerland
| | - Andrea Holzschuh
- Department of Animal Ecology and Tropical Biology, University of Würzburg, Würzburg, Germany
| | - Ingolf Steffan-Dewenter
- Department of Animal Ecology and Tropical Biology, University of Würzburg, Würzburg, Germany
| | - Jane C. Stout
- Trinity Centre for Biodiversity Research, Trinity College Dublin, Dublin, Republic of Ireland
| | - Meelis Pärtel
- Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Martin Zobel
- Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Simon G. Potts
- Centre for Agri-Environmental Research, University of Reading, Reading, United Kingdom
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Fauser P, Sørensen PB, Nielsen M, Winther M, Plejdrup MS, Hoffmann L, Gyldenkærne S, Mikkelsen MH, Albrektsen R, Lyck E, Thomsen M, Hjelgaard K, Nielsen OK. Monte Carlo (Tier 2) uncertainty analysis of Danish Greenhouse gas emission inventory. ACTA ACUST UNITED AC 2011. [DOI: 10.1080/20430779.2011.621949] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Dalgaard T, Olesen JE, Petersen SO, Petersen BM, Jørgensen U, Kristensen T, Hutchings NJ, Gyldenkærne S, Hermansen JE. Developments in greenhouse gas emissions and net energy use in Danish agriculture - how to achieve substantial CO(2) reductions? Environ Pollut 2011; 159:3193-3203. [PMID: 21454001 DOI: 10.1016/j.envpol.2011.02.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2011] [Accepted: 02/13/2011] [Indexed: 05/30/2023]
Abstract
Greenhouse gas (GHG) emissions from agriculture are a significant contributor to total Danish emissions. Consequently, much effort is currently given to the exploration of potential strategies to reduce agricultural emissions. This paper presents results from a study estimating agricultural GHG emissions in the form of methane, nitrous oxide and carbon dioxide (including carbon sources and sinks, and the impact of energy consumption/bioenergy production) from Danish agriculture in the years 1990-2010. An analysis of possible measures to reduce the GHG emissions indicated that a 50-70% reduction of agricultural emissions by 2050 relative to 1990 is achievable, including mitigation measures in relation to the handling of manure and fertilisers, optimization of animal feeding, cropping practices, and land use changes with more organic farming, afforestation and energy crops. In addition, the bioenergy production may be increased significantly without reducing the food production, whereby Danish agriculture could achieve a positive energy balance.
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Affiliation(s)
- T Dalgaard
- Aarhus University, Department of Agroecology, Blichers Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark.
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