CCAFS-MOT - A tool for farmers, extension services and policy-advisors to identify mitigation options for agriculture. (June 2017)
- Record Type:
- Journal Article
- Title:
- CCAFS-MOT - A tool for farmers, extension services and policy-advisors to identify mitigation options for agriculture. (June 2017)
- Main Title:
- CCAFS-MOT - A tool for farmers, extension services and policy-advisors to identify mitigation options for agriculture
- Authors:
- Feliciano, Diana
Nayak, Dali Rani
Vetter, Sylvia Helga
Hillier, Jon - Abstract:
- Abstract: CCAFS-MOT is a tool to support farmers, policy advisors and agricultural extension services on the choice of management practices that reduce greenhouse gas emissions (GHG) without risking food security. It is an Excel-based tool which brings together several empirical models to estimate GHG emissions in rice, cropland and livestock systems, and provides information about the most effective mitigation options. Greenhouse gas emissions are estimated in terms of carbon dioxide equivalent per hectare (kg CO2 eq ha − 1 ) and carbon dioxide equivalent per unit of product (kg CO2 eq kg − 1 ). Baseline management practices are chosen by the user and a set of mitigation options are ranked according to their mitigation potential. The tool allows different levels of input to be specified from an introductory to detailed level, depending on objectives and issues like to accommodate users with different backgrounds and details concerning input data. As such it allows for product and region specific assessments of GHGs and mitigation potentials to be made without the need for expert knowledge or for lengthy model set-up and calibration. Graphical abstract: Highlights: We describe the development of a unique tool that advises on mitigation options in agriculture. The tool gives the possibility for simplified and detailed data inputs. The tool ranks the most effective mitigation options for crops, rice and livestock. It is a user-friendly tool designed to advise policy-makers andAbstract: CCAFS-MOT is a tool to support farmers, policy advisors and agricultural extension services on the choice of management practices that reduce greenhouse gas emissions (GHG) without risking food security. It is an Excel-based tool which brings together several empirical models to estimate GHG emissions in rice, cropland and livestock systems, and provides information about the most effective mitigation options. Greenhouse gas emissions are estimated in terms of carbon dioxide equivalent per hectare (kg CO2 eq ha − 1 ) and carbon dioxide equivalent per unit of product (kg CO2 eq kg − 1 ). Baseline management practices are chosen by the user and a set of mitigation options are ranked according to their mitigation potential. The tool allows different levels of input to be specified from an introductory to detailed level, depending on objectives and issues like to accommodate users with different backgrounds and details concerning input data. As such it allows for product and region specific assessments of GHGs and mitigation potentials to be made without the need for expert knowledge or for lengthy model set-up and calibration. Graphical abstract: Highlights: We describe the development of a unique tool that advises on mitigation options in agriculture. The tool gives the possibility for simplified and detailed data inputs. The tool ranks the most effective mitigation options for crops, rice and livestock. It is a user-friendly tool designed to advise policy-makers and extension services. … (more)
- Is Part Of:
- Agricultural systems. Volume 154(2017)
- Journal:
- Agricultural systems
- Issue:
- Volume 154(2017)
- Issue Display:
- Volume 154, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 154
- Issue:
- 2017
- Issue Sort Value:
- 2017-0154-2017-0000
- Page Start:
- 100
- Page End:
- 111
- Publication Date:
- 2017-06
- Subjects:
- CCAFS-MOT -- Accounting -- Mitigation options -- Agriculture
Agricultural systems -- Periodicals
Agriculture -- Environmental aspects -- Periodicals
338.16 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0308521X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.agsy.2017.03.006 ↗
- Languages:
- English
- ISSNs:
- 0308-521X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0757.410000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7893.xml