Modelling SoilMAT-ters

Research output: Contribution to conferenceAbstract

10 Downloads (Pure)

Abstract

The Soil Management Assessment Tool (SoilMAT) is being developed as part of the soils work in the Scottish Government’s Rural and Environment Science and Analytical Services Division (RESAS) 2016-21 programme.
SoilMAT is a simple summary process-based model, which has been initially being developed in MS Excel. The model has modules to predict soil texture, carbon storage and water supply; to describe the impact of changes in temperature and rainfall on crop production; and to determine fertiliser use, nutrient limitation, nitrate leaching and greenhouse gas emissions in Scottish soils. Inputs to the model include location, soil type and characteristics, land use, rainfall and air temperature, “Land Capability for Agriculture Assessment” class, crop type, typical cereal yield, and fertiliser type and use.
The summary model will be packaged using R and/or Python and made available via Scotland’s soils website (SEWeb platform) in the near future. It is expected that it will be of use to policy makers and planners amongst others.
The aim of this presentation is to introduce the tool.
Original languageEnglish
PagesEGU2018-12925
Number of pages1
Publication statusPublished - 2018
EventEuropean Geosciences Assembly 2018 - Vienna International Conference Centre, Vienna, Austria
Duration: 8 Apr 201813 Apr 2018
https://egu2018.eu/home.html

Conference

ConferenceEuropean Geosciences Assembly 2018
Abbreviated titleEGU2018
CountryAustria
CityVienna
Period8/04/1813/04/18
Internet address

Fingerprint

soil management
modeling
fertilizer
rainfall
soil
nutrient limitation
soil texture
crop production
carbon sequestration
cereal
soil type
greenhouse gas
air temperature
water supply
leaching
nitrate
agriculture
land use
crop
temperature

Keywords

  • soil
  • modelling
  • process model
  • RESAS

ASJC Scopus subject areas

  • Environmental Science(all)

Cite this

Brand, A., & Smith, J. U. (2018). Modelling SoilMAT-ters. EGU2018-12925. Abstract from European Geosciences Assembly 2018, Vienna, Austria.

Modelling SoilMAT-ters. / Brand, Alison; Smith, Jo U.

2018. EGU2018-12925 Abstract from European Geosciences Assembly 2018, Vienna, Austria.

Research output: Contribution to conferenceAbstract

Brand, A & Smith, JU 2018, 'Modelling SoilMAT-ters' European Geosciences Assembly 2018, Vienna, Austria, 8/04/18 - 13/04/18, pp. EGU2018-12925.
Brand A, Smith JU. Modelling SoilMAT-ters. 2018. Abstract from European Geosciences Assembly 2018, Vienna, Austria.
Brand, Alison ; Smith, Jo U. / Modelling SoilMAT-ters. Abstract from European Geosciences Assembly 2018, Vienna, Austria.1 p.
@conference{b319721344bf424a82876477ed6bd2a6,
title = "Modelling SoilMAT-ters",
abstract = "The Soil Management Assessment Tool (SoilMAT) is being developed as part of the soils work in the Scottish Government’s Rural and Environment Science and Analytical Services Division (RESAS) 2016-21 programme.SoilMAT is a simple summary process-based model, which has been initially being developed in MS Excel. The model has modules to predict soil texture, carbon storage and water supply; to describe the impact of changes in temperature and rainfall on crop production; and to determine fertiliser use, nutrient limitation, nitrate leaching and greenhouse gas emissions in Scottish soils. Inputs to the model include location, soil type and characteristics, land use, rainfall and air temperature, “Land Capability for Agriculture Assessment” class, crop type, typical cereal yield, and fertiliser type and use.The summary model will be packaged using R and/or Python and made available via Scotland’s soils website (SEWeb platform) in the near future. It is expected that it will be of use to policy makers and planners amongst others.The aim of this presentation is to introduce the tool.",
keywords = "soil, modelling, process model, RESAS",
author = "Alison Brand and Smith, {Jo U}",
note = "Geophysical Research Abstracts Vol. 20; European Geosciences Assembly 2018, EGU2018 ; Conference date: 08-04-2018 Through 13-04-2018",
year = "2018",
language = "English",
pages = "EGU2018--12925",
url = "https://egu2018.eu/home.html",

}

TY - CONF

T1 - Modelling SoilMAT-ters

AU - Brand, Alison

AU - Smith, Jo U

N1 - Geophysical Research Abstracts Vol. 20

PY - 2018

Y1 - 2018

N2 - The Soil Management Assessment Tool (SoilMAT) is being developed as part of the soils work in the Scottish Government’s Rural and Environment Science and Analytical Services Division (RESAS) 2016-21 programme.SoilMAT is a simple summary process-based model, which has been initially being developed in MS Excel. The model has modules to predict soil texture, carbon storage and water supply; to describe the impact of changes in temperature and rainfall on crop production; and to determine fertiliser use, nutrient limitation, nitrate leaching and greenhouse gas emissions in Scottish soils. Inputs to the model include location, soil type and characteristics, land use, rainfall and air temperature, “Land Capability for Agriculture Assessment” class, crop type, typical cereal yield, and fertiliser type and use.The summary model will be packaged using R and/or Python and made available via Scotland’s soils website (SEWeb platform) in the near future. It is expected that it will be of use to policy makers and planners amongst others.The aim of this presentation is to introduce the tool.

AB - The Soil Management Assessment Tool (SoilMAT) is being developed as part of the soils work in the Scottish Government’s Rural and Environment Science and Analytical Services Division (RESAS) 2016-21 programme.SoilMAT is a simple summary process-based model, which has been initially being developed in MS Excel. The model has modules to predict soil texture, carbon storage and water supply; to describe the impact of changes in temperature and rainfall on crop production; and to determine fertiliser use, nutrient limitation, nitrate leaching and greenhouse gas emissions in Scottish soils. Inputs to the model include location, soil type and characteristics, land use, rainfall and air temperature, “Land Capability for Agriculture Assessment” class, crop type, typical cereal yield, and fertiliser type and use.The summary model will be packaged using R and/or Python and made available via Scotland’s soils website (SEWeb platform) in the near future. It is expected that it will be of use to policy makers and planners amongst others.The aim of this presentation is to introduce the tool.

KW - soil

KW - modelling

KW - process model

KW - RESAS

M3 - Abstract

SP - EGU2018-12925

ER -