Perennial-GHG: A new generic allometric model to estimate biomass accumulation and greenhouse gas emissions in perennial food and bioenergy crops. (April 2018)
- Record Type:
- Journal Article
- Title:
- Perennial-GHG: A new generic allometric model to estimate biomass accumulation and greenhouse gas emissions in perennial food and bioenergy crops. (April 2018)
- Main Title:
- Perennial-GHG: A new generic allometric model to estimate biomass accumulation and greenhouse gas emissions in perennial food and bioenergy crops
- Authors:
- Ledo, A.
Heathcote, R.
Hastings, A.
Smith, P.
Hillier, J. - Abstract:
- Abstract: Agriculture, and its impact on land, contributes almost a third of total human emissions of greenhouse gases (GHG). At the same time, it is the only sector which has significant potential for negative emissions through offsetting via the supply of feedstock for energy and sequestration in biomass and soils. Perennial crops represent 30% of the global cropland area. However, the positive effect of biomass storage on net GHG emissions has largely been ignored. Reasons for this include the inconsistency in methods of accounting for biomass in perennials. In this study, we present a generic model to calculate the carbon balance and GHG emissions from perennial crops, covering both bioenergy and food crops. The model can be parametrized for any given crop if the necessary empirical data exists. We illustrate the model for four perennial crops – apple, coffee, sugarcane, and Miscanthus – to demonstrate the importance of biomass in overall farm GHG emissions. Graphical abstract: Image 1 Highlights: Inconsistency in methods impedes quantification on net greenhouse gas emissions (GHG) of perennial crops. We present a generic model to calculate the carbon balance and GHG emissions from perennial crops, including examples. Different crops and management practices lead to very different emissions of GHGs, which can be either positive or negative. Under judicious management, perennials have potential for climate change mitigation.
- Is Part Of:
- Environmental modelling & software. Volume 102(2018)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 102(2018)
- Issue Display:
- Volume 102, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 102
- Issue:
- 2018
- Issue Sort Value:
- 2018-0102-2018-0000
- Page Start:
- 292
- Page End:
- 305
- Publication Date:
- 2018-04
- Subjects:
- Above ground biomass -- Below ground biomass -- Carbon -- Carbon dioxide -- Decomposition -- Greenhouse gas emissions -- Modelling
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2017.12.005 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.522800
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