Special Issue "Spatial Modelling of Greenhouse Gas Emissions (GHG) from Cropland and Grassland"

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Grassland and Pasture Science".

Deadline for manuscript submissions: closed (30 June 2019).

Special Issue Editor

Dr. Astley Hastings
E-Mail Website
Guest Editor
Scottish Food Security Alliance-Crops, Climate X Change & Institute of Biological and Environmental Science, University of Aberdeen, 23 St Machar Drive, Aberdeen AB24 3UU, UK
Interests: GTAP-BIO model; biofuels sustainability criteria; biofuel potential; EU-RED; US-EISA

Special Issue Information

Dear Colleagues,

Agriculture accounts for approximately one third of anthropogenic GHG [DM1] emissions and with the future pressures of climate change, population increase and changing dietary aspirations, as well as fibre and bioenergy requirements, it will be a challenge to reduce emissions from agriculture and land use. As experiments to determine GHG emissions from land use are expensive and need to be long term to determine actual changes in soil carbon and hence GHG emission trends, spatial modelling of vegetation growth and soil bio-chemical cycles of carbon and nitrogen is a tool that can be used to spatially estimate current emissions and predict future trends accounting for future social and economic pressures.

This Special Issue on “Spatial Modelling of Greenhouse Gas Emissions (GHG) from Cropland and Grassland” will focus on advances in vegetation growth, soil biogeochemical models and the underlying soil, climate and socio-economic scenario data. We welcome novel research, reviews and opinion pieces covering all related modelling topics including soil chemistry, hydrology, beneficial micro-organisms, crop genetics and improvement, novel crops, crop and grassland management solutions, case-studies from the field, model parameterization experiments and policy positions. These can relate to food, fibre and energy production and the underlying socio-economic drivers of the models.

Dr. Astley Hastings
Guest Editor

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. Agronomy is an international peer-reviewed open access monthly 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 1800 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.

Keywords

  • Process based models
  • Spatial models
  • soil chemistry models
  • crop growth models
  • crop improvement
  • crop management and agronomy
  • grassland management
  • model parameterization
  • Model case studies
  • informing policy

Published Papers (1 paper)

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Research

Article
District Scale GHG Emission Indicators for Canadian Field Crop and Livestock Production
Agronomy 2018, 8(9), 190; https://doi.org/10.3390/agronomy8090190 - 15 Sep 2018
Cited by 5 | Viewed by 1214
Abstract
The three main farm products from Canadian agriculture, i.e., proteins, vegetable oils, and carbohydrates, account for 98% of the land in annual crops in Canada. The intensities and efficiencies of these field crops in relation to their Greenhouse Gas (GHG) emissions were assessed [...] Read more.
The three main farm products from Canadian agriculture, i.e., proteins, vegetable oils, and carbohydrates, account for 98% of the land in annual crops in Canada. The intensities and efficiencies of these field crops in relation to their Greenhouse Gas (GHG) emissions were assessed for their value as land use change indicators. To facilitate spatial comparisons, this assessment was carried out at the Ecodistrict (ED) scale. The Unified Livestock Industry and Crop Emissions Estimation System (ULICEES) model was modified to operate at the ED scale, and used to quantify the GHG emission intensity of protein. GHG emissions were also calculated for plant products not used for livestock feed. The livestock GHG emissions and GHG-protein intensities estimated using ED scale inputs to ULICEES were reasonably close to GHG-protein intensities generated by the version of ULICEES driven by provincial scale census data. Carbohydrates were split into two groups, i.e., whether or not they supported livestock. Annual farm product data at 5-year intervals were used to generate GHG emissions from all farm operations. The range of GHG emissions from all farm operations in Western Canada was from 42 to 54 Mt CO2e between in 1991 and 2011, while GHG emissions from livestock ranged from 22 to 34 Mt CO2e over the same period. The Eastern Canadian GHG emissions from all farm operations declined gradually from 24 to 22 Mt CO2e over the period, with most of the eastern GHG emissions being from livestock. Ruminant livestock accounted for most of the livestock GHG emissions, particularly in the west. Provincial scale GHG emission efficiencies of the four farm product groups were assessed on a per-unit of GHG emissions basis for 2006. The most GHG-efficient province for protein was Ontario, whereas the most GHG-efficient province for all three plant products was Saskatchewan. The coastal provinces were the least GHG-efficient sources of all four farm product groups. Full article
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