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A proposed approach to estimate and reduce net greenhouse gas emissions from whole farms

Authors :
Tim A. McAllister
D. J. Gibb
Bobbi L. Helgason
Hong Wang
Edward G. Gregorich
Denis A. Angers
P. Rochette
J.A. Dyer
M. Boehm
Reynald Lemke
Benjamin H. Ellert
Ward Smith
M. A. Bolinder
Elizabeth Pattey
Sean M. McGinn
A.J. VandenBygaart
Raymond L. Desjardins
H. Henry Janzen
Nathaniel K. Newlands
Daniel I. Massé
Source :
Scopus-Elsevier
Publication Year :
2006
Publisher :
Canadian Science Publishing, 2006.

Abstract

Greenhouse gas emissions from farms can be suppressed in two ways: by curtailing the release of these gases (especially N2O and CH4), and by storing more carbon in soils, thereby removing atmospheric CO2. But most practices have multiple interactive effects on emissions throughout a farm. We describe an approach for identifying practices that best reduce net, whole-farm emissions. We propose to develop a “Virtual Farm”, a series of interconnected algorithms that predict net emissions from flows of carbon, nitrogen, and energy. The Virtual Farm would consist of three elements: descriptors, which characterize the farm; algorithms, which calculate emissions from components of the farm; and an integrator, which links the algorithms to each other and the descriptors, generating whole-farm estimates. Ideally, the Virtual Farm will be: boundary-explicit, with single farms as the fundamental unit; adaptable to diverse farm types; modular in design; simple and transparent; dependent on minimal, attainable inputs; internally consistent; compatible with models developed elsewhere; and dynamic (“seeing”into the past and the future). The Virtual Farm would be constructed via two parallel streams - measurement and modeling - conducted iteratively. The understanding built into the Virtual Farm may eventually be applied to issues beyond greenhouse gas mitigation. Key words: CO2, N2O, CH4, agroecosystems, models, climate change

Details

ISSN :
19181841 and 00084271
Volume :
86
Database :
OpenAIRE
Journal :
Canadian Journal of Soil Science
Accession number :
edsair.doi.dedup.....64d02142c60712a386d19e944f79b34a
Full Text :
https://doi.org/10.4141/s05-101