2014
DOI: 10.1073/pnas.1308044111
|View full text |Cite
|
Sign up to set email alerts
|

Climate change mitigation through livestock system transitions

Abstract: Livestock are responsible for 12% of anthropogenic greenhouse gas emissions. Sustainable intensification of livestock production systems might become a key climate mitigation technology. However, livestock production systems vary substantially, making the implementation of climate mitigation policies a formidable challenge. Here, we provide results from an economic model using a detailed and high-resolution representation of livestock production systems. We project that by 2030 autonomous transitions toward mo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

11
351
0
7

Year Published

2014
2014
2020
2020

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 452 publications
(369 citation statements)
references
References 38 publications
11
351
0
7
Order By: Relevance
“…This analysis uses the Global Biosphere Management Model (GLOBIOM), a bottom-up economic partial equilibrium model of the global land use economy that depicts the competition for land between the forestry, crop, and livestock sectors (50)(51)(52). Demand for food and wood is determined by exogenous population and gross domestic product (GDP) per capita projections and by projections of dietary patterns and trends (53).…”
Section: Methodsmentioning
confidence: 99%
“…This analysis uses the Global Biosphere Management Model (GLOBIOM), a bottom-up economic partial equilibrium model of the global land use economy that depicts the competition for land between the forestry, crop, and livestock sectors (50)(51)(52). Demand for food and wood is determined by exogenous population and gross domestic product (GDP) per capita projections and by projections of dietary patterns and trends (53).…”
Section: Methodsmentioning
confidence: 99%
“…For non-CO 2 emissions, the agriculture-related emissions from IMAGE land are combined with MAC curves based on Lucas et al (2007) using updates of U.S. EPA (2013), Harnisch et al (2009), andSchwarz et al (2011). Given the detailed analysis of current policies and NDCs for land-use change and forestry (LULUCF), CO 2 emissions by the GLOBIOM/G4M team were used here instead of using IMAGE land, in combination with the response curves from the GLOBIOM/G4M models (Havlík et al 2014;Böttcher et al 2011;Kindermann et al 2008) (see also Online Resources-Supplementary text). For calculating CO 2 -equivalent emissions, 100-year Global Warming Potentials from IPCC AR4 are used (GHGs covered are CO 2 , CH 4 , N 2 O, PFCs, HFCs, SF 6 ).…”
Section: Model Frameworkmentioning
confidence: 99%
“…Projected increases in demand for agricultural commodities suggest a need to ''spare'' non-farmed high-nature value areas from agricultural expansion via ''sustainable intensification'' (Garnett et al 2013). Although current intensive crop and livestock systems may produce food with a lower GHG intensity than extensive systems when global land use change (LUC) is considered (Burney et al 2010;Havlík et al 2014), such systems diminish the delivery of other ecosystem services (Haas et al 2000;Firbank et al 2013), especially via large releases of reactive nitrogen to air and water (Dalgaard et al 2012;Pinder et al 2012) that can be particularly problematic in the vicinity of large, enclosed water bodies. Kiedrzyńska et al (2014) found strong Electronic supplementary material The online version of this article (doi:10.1007/s13280-016-0790-9) contains supplementary material, which is available to authorized users.…”
Section: Bioenergy and Food Productionmentioning
confidence: 99%