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  5. Perennial-GHG: A new generic allometric model to estimate biomass accumulation and greenhouse gas emissions in perennial food and bioenergy crops

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Article
English
2018

Perennial-GHG: A new generic allometric model to estimate biomass accumulation and greenhouse gas emissions in perennial food and bioenergy crops

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0 Files

English
2018
Environmental Modelling & Software
Vol 102
DOI: 10.1016/j.envsoft.2017.12.005

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Alicia Ledo
Alicia Ledo

Freelance Scientist & Consultant

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Alicia Ledo
Richard Heathcote
Astley Hastings
+2 more

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.

How to cite this publication

Alicia Ledo, Richard Heathcote, Astley Hastings, Pete Smith, Jon Hillier (2018). Perennial-GHG: A new generic allometric model to estimate biomass accumulation and greenhouse gas emissions in perennial food and bioenergy crops. Environmental Modelling & Software, 102, pp. 292-305, DOI: 10.1016/j.envsoft.2017.12.005.

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Publication Details

Type

Article

Year

2018

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Environmental Modelling & Software

DOI

10.1016/j.envsoft.2017.12.005

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