2016
DOI: 10.1071/rj15095
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Implications of retaining woody regrowth for carbon sequestration for an extensive grazing beef business: a bio-economic modelling case study

Abstract: A bio-economic modelling framework (GRASP-ENTERPRISE) was used to assess the implications of retaining woody regrowth for carbon sequestration on a case study beef grazing property in northern Australia. Five carbon farming scenarios, ranging from 0% to 100% of the property regrowth retained for carbon sequestration, were simulated over a 20-year period (1993–2012). Dedicating regrowth on the property for carbon sequestration reduced pasture (up to 40%) and herd productivity (up to 20%), and resulted in financ… Show more

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Cited by 6 publications
(10 citation statements)
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“…Discounted cash flow analysis and bio-economic modelling to determine the net economic benefits over time and payback periods may be appropriate (e.g. Broad et al 2016;Gowen and Bray 2016;Whish et al 2016). Bio-economic modelling can integrate management practices, livestock, pasture dynamics, tree biomass and soil carbon at the whole property scale and over longer time frames than can be realistically trialled on-farm in a short-term project (e.g.…”
Section: Step 3 Identification Of Optionsmentioning
confidence: 99%
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“…Discounted cash flow analysis and bio-economic modelling to determine the net economic benefits over time and payback periods may be appropriate (e.g. Broad et al 2016;Gowen and Bray 2016;Whish et al 2016). Bio-economic modelling can integrate management practices, livestock, pasture dynamics, tree biomass and soil carbon at the whole property scale and over longer time frames than can be realistically trialled on-farm in a short-term project (e.g.…”
Section: Step 3 Identification Of Optionsmentioning
confidence: 99%
“…Bio-economic modelling can integrate management practices, livestock, pasture dynamics, tree biomass and soil carbon at the whole property scale and over longer time frames than can be realistically trialled on-farm in a short-term project (e.g. Donaghy et al 2010a;Phelps et al 2014;Whish et al 2016).…”
Section: Step 3 Identification Of Optionsmentioning
confidence: 99%
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