direct land use change
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2021 ◽  
Vol 755 ◽  
pp. 143338
Author(s):  
Wan Yee Lam ◽  
Julia Chatterton ◽  
Sarah Sim ◽  
Michal Kulak ◽  
Angelica Mendoza Beltran ◽  
...  

2020 ◽  
Vol 25 (6) ◽  
pp. 998-1012
Author(s):  
Paul-Antoine Bontinck ◽  
Tim F. Grant ◽  
Maartje Sevenster ◽  
Sandra Eady ◽  
Debbie Crawford

2018 ◽  
Vol 21 (2Supl) ◽  
pp. 117-121
Author(s):  
Jochen Dürr

This short article explains a method already used by the author in the case of Guatemala to estimate the economic consequences of the land use changes driven by oil palm plantations. The innovative method accounts not only for the direct land use change outcomes, but also the impacts on forward and backward sectors of the agricultural activities and allows for sub-national estimations, using territorial input-output-matrices. Therefore, it is suggested that this method be applied also in the case of Colombia. This would allow highlighting differences and probably also some commonalities with respect to the characteristics of the expansion of this flex crop.


2015 ◽  
Vol 52 ◽  
pp. 547-556 ◽  
Author(s):  
Ricardo de Oliveira Bordonal ◽  
Rattan Lal ◽  
Daniel Alves Aguiar ◽  
Eduardo Barretto de Figueiredo ◽  
Luciano Ito Perillo ◽  
...  

2015 ◽  
Vol 37 (3) ◽  
pp. 273 ◽  
Author(s):  
Beverley K. Henry ◽  
D. Butler ◽  
S. G. Wiedemann

In life cycle assessment studies, greenhouse gas (GHG) emissions from direct land-use change have been estimated to make a significant contribution to the global warming potential of agricultural products. However, these estimates have a high uncertainty due to the complexity of data requirements and difficulty in attribution of land-use change. This paper presents estimates of GHG emissions from direct land-use change from native woodland to grazing land for two beef production regions in eastern Australia, which were the subject of a multi-impact life cycle assessment study for premium beef production. Spatially- and temporally consistent datasets were derived for areas of forest cover and biomass carbon stocks using published remotely sensed tree-cover data and regionally applicable allometric equations consistent with Australia’s national GHG inventory report. Standard life cycle assessment methodology was used to estimate GHG emissions and removals from direct land-use change attributed to beef production. For the northern-central New South Wales region of Australia estimates ranged from a net emission of 0.03 t CO2-e ha–1 year–1 to net removal of 0.12 t CO2-e ha–1 year–1 using low and high scenarios, respectively, for sequestration in regrowing forests. For the same period (1990–2010), the study region in southern-central Queensland was estimated to have net emissions from land-use change in the range of 0.45–0.25 t CO2-e ha–1 year–1. The difference between regions reflects continuation of higher rates of deforestation in Queensland until strict regulation in 2006 whereas native vegetation protection laws were introduced earlier in New South Wales. On the basis of liveweight produced at the farm-gate, emissions from direct land-use change for 1990–2010 were comparable in magnitude to those from other on-farm sources, which were dominated by enteric methane. However, calculation of land-use change impacts for the Queensland region for a period starting 2006, gave a range from net emissions of 0.11 t CO2-e ha–1 year–1 to net removals of 0.07 t CO2-e ha–1 year–1. This study demonstrated a method for deriving spatially- and temporally consistent datasets to improve estimates for direct land-use change impacts in life cycle assessment. It identified areas of uncertainty, including rates of sequestration in woody regrowth and impacts of land-use change on soil carbon stocks in grazed woodlands, but also showed the potential for direct land-use change to represent a net sink for GHG.


2012 ◽  
Vol 47 ◽  
pp. 240-249 ◽  
Author(s):  
Aimee E. Curtright ◽  
David R. Johnson ◽  
Henry H. Willis ◽  
Timothy Skone

2012 ◽  
Vol 4 (4) ◽  
pp. 574-585 ◽  
Author(s):  
Marcos Adami ◽  
Bernardo Friedrich Theodor Rudorff ◽  
Ramon Morais Freitas ◽  
Daniel Alves Aguiar ◽  
Luciana Miura Sugawara ◽  
...  

2011 ◽  
Author(s):  
Marcos Adami ◽  
Bernardo Rudorff ◽  
Ramon Freitas ◽  
Daniel Aguiar ◽  
Luciana Sugawara ◽  
...  

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