Special Issue "Measuring or Modelling Greenhouse Gas Emissions from Agricultural Land Use"

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: closed (1 October 2018)

Special Issue Editors

Guest Editor
Dr. Matt Bell

The University of Nottingham, School of Biosciences, Sutton Bonington Campus, Loughborough, LE12 5RD, UK
Website | E-Mail
Interests: Agricultural Systems; greenhouse gas emissions; climate impacts; breeding; nutrition; health and welfare; livestock systems
Guest Editor
Dr. Matthew Harrison

Tasmanian Institute of Agriculture, University of Tasmania, 16-20 Mooreville Rd, Burnie,Tasmania, Australia, 7320
Website | E-Mail
Interests: modelling; photosynthesis, dual-purpose crops; climate change; extreme climatic events; pastures; livestock
Guest Editor
Prof. Heinz Flessa

Soil Science of Temperate and Boreal Ecosystems, Georg August University of Göttingen, Büsgenweg 2, 37077 Göttingen, Germany
Website | E-Mail
Interests: Carbon and nitrogen dynamics in soils; Soils as sources and sinks of greenhouse gases; Effects of land use and climate change on; element dynamics in terrestrial ecosystems; Stable isotopes in soil ecological research

Special Issue Information

Dear Colleagues,

This Special Issue will present current research regarding the measurement and modelling of greenhouse gas emissions from agricultural production, including land used for crops, livestock, grassland and woodland. Considerable research into sources and sinks of emissions from agriculture has been carried out in recent years to improve our ability to quantify emissions and to assess mitigation options at the farm level. Loss of carbon in the form of methane or carbon dioxide, and nitrogen in the form of nitrous oxide, are pollutants associated with global warming and climate change. Agriculture is a notable source of enteric methane emissions from ruminant livestock, as well as methane or nitrous oxide emissions from manure and land. Alternatively, grassland or woodland areas can provide an opportunity to sequester atmospheric carbon. Papers exploring these dynamics associated with agricultural land use are welcomed.

Developments in gas monitoring and modelling capabilities now provide new insights into land management options for reduced greenhouse gas emissions for more sustainable food production systems. Papers should cover some aspect of measuring or modelling gas emissions at the farm level.

Dr. Matt Bell
Dr. Matthew Harrison
Prof. Heinz Flessa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Open AccessArticle Model Based Regional Estimates of Soil Organic Carbon Sequestration and Greenhouse Gas Mitigation Potentials from Rice Croplands in Bangladesh
Received: 25 June 2018 / Accepted: 2 July 2018 / Published: 5 July 2018
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Abstract
Rice (Oryza sativa L.) is cultivated as a major crop in most Asian countries and its production is expected to increase to meet the demands of a growing population. This is expected to increase greenhouse gas (GHG) emissions from paddy rice ecosystems,
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Rice (Oryza sativa L.) is cultivated as a major crop in most Asian countries and its production is expected to increase to meet the demands of a growing population. This is expected to increase greenhouse gas (GHG) emissions from paddy rice ecosystems, unless mitigation measures are in place. It is therefore important to assess GHG mitigation potential whilst maintaining yield. Using the process-based ecosystem model DayCent, a spatial analysis was carried out in a rice harvested area in Bangladesh for the period 1996 to 2015, considering the impacts on soil organic carbon (SOC) sequestration, GHG emissions and yield under various mitigation options. An integrated management (IM, a best management practice) considering reduced water, tillage with residue management, reduced mineral nitrogen fertilizer and manure, led to a net offset by, on average, −2.43 t carbon dioxide equivalent (CO2-eq.) ha−1 year−1 (GHG removal) and a reduction in yield-scaled emissions intensity by −0.55 to −0.65 t CO2-eq. t−1 yield. Under integrated management, it is possible to increase SOC stocks on average by 1.7% per year in rice paddies in Bangladesh, which is nearly 4 times the rate of change targeted by the “4 per mille” initiative arising from the Paris Climate Agreement. Full article
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Open AccessFeature PaperArticle Effect of Feeding System on Enteric Methane Emissions from Individual Dairy Cows on Commercial Farms
Received: 17 January 2018 / Revised: 19 February 2018 / Accepted: 21 February 2018 / Published: 24 February 2018
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Abstract
This study investigated the effects of feeding system on diurnal enteric methane (CH4) emissions from individual cows on commercial farms. Data were obtained from 830 cows across 12 farms, and data collated included production records, CH4 measurements (in the breath
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This study investigated the effects of feeding system on diurnal enteric methane (CH4) emissions from individual cows on commercial farms. Data were obtained from 830 cows across 12 farms, and data collated included production records, CH4 measurements (in the breath of cows using CH4 analysers at robotic milking stations for at least seven days) and diet composition. Cows received either a partial mixed ration (PMR) or a PMR with grazing. A linear mixed model was used to describe variation in CH4 emissions per individual cow and assess the effect of feeding system. Methane emissions followed a consistent diurnal pattern across both feeding systems, with emissions lowest between 05:00 and 08:59, and with a peak concentration between 17:00 and 20:59. No overall difference in emissions was found between feeding systems studied; however, differences were found in the diurnal pattern of CH4 emissions between feeding systems. The response in emissions to increasing dry matter intake was higher for cows fed PMR with grazing. This study showed that repeated spot measurements of CH4 emissions whilst cows are milked can be used to assess the effects of feeding system and potentially benchmark farms on level of emissions. Full article
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