Review of modifications to indirect land use change modeling and resulting carbon intensity values within the California Low Carbon Fuel Standard regulations

2018 ◽  
Vol 180 ◽  
pp. 698-707 ◽  
Author(s):  
Amber Leland ◽  
S. Kent Hoekman ◽  
Xiaowei (Vivian) Liu
2012 ◽  
Vol 9 (71) ◽  
pp. 1105-1119 ◽  
Author(s):  
Susan Tarka Sanchez ◽  
Jeremy Woods ◽  
Mark Akhurst ◽  
Matthew Brander ◽  
Michael O'Hare ◽  
...  

The expansion of land used for crop production causes variable direct and indirect greenhouse gas emissions, and other economic, social and environmental effects. We analyse the use of life cycle analysis (LCA) for estimating the carbon intensity of biofuel production from indirect land-use change (ILUC). Two approaches are critiqued: direct, attributional life cycle analysis and consequential life cycle analysis (CLCA). A proposed hybrid ‘combined model’ of the two approaches for ILUC analysis relies on first defining the system boundary of the resulting full LCA. Choices are then made as to the modelling methodology (economic equilibrium or cause–effect), data inputs, land area analysis, carbon stock accounting and uncertainty analysis to be included. We conclude that CLCA is applicable for estimating the historic emissions from ILUC, although improvements to the hybrid approach proposed, coupled with regular updating, are required, and uncertainly values must be adequately represented; however, the scope and the depth of the expansion of the system boundaries required for CLCA remain controversial. In addition, robust prediction, monitoring and accounting frameworks for the dynamic and highly uncertain nature of future crop yields and the effectiveness of policies to reduce deforestation and encourage afforestation remain elusive. Finally, establishing compatible and comparable accounting frameworks for ILUC between the USA, the European Union, South East Asia, Africa, Brazil and other major biofuel trading blocs is urgently needed if substantial distortions between these markets, which would reduce its application in policy outcomes, are to be avoided.


2011 ◽  
pp. 224-228
Author(s):  
Uwe Lahl

The study proposes a regional approach to calculating indirect land use change (iLUC). The goal is to determine the greenhouse gas emissions (GHG) of biofuels brought about by iLUC in a specific region. A regional approach can be based on the conditions specific to the respective region and the data for this region which is contained in country statistics. This makes the results more resilient. It also appears that LUC is mainly caused locally or regionally. Relevant policy scenarios for different regions were calculated with a regional model. The calculations show reliable results. It is possible to introduce such a regional model in regulations for combating iLUC. The analysis of the policy options for combating iLUC shows that a regional approach would have a much more effective steering effect.


Author(s):  
Fatemeh Jahanishakib ◽  
Seyed Hamed Mirkarimi ◽  
Abdolrassoul Salmanmahiny ◽  
Fatemeh Poodat

Geosciences ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 421 ◽  
Author(s):  
Elzbieta Bielecka

The paper aimed to express the cognitive and intellectual structure of research executed in the field of GIS-based land use change modeling. An exploration of the Web of Science database showed that research in GIS spatial analysis modeling for land use change began in the early 1990s and has continued since then, with a substantial growth in the 21st century. By science mapping methods, particularly co-coupling, co-citation, and citation, as well as bibliometric measures, like impact indices, this study distinguishes the most eminent authors, institutions, countries, and journals in GIS-based land use change modeling. The results showed that GIS-based analysis of land use change modeling is a multi- and interdisciplinary research topic, as reflected in the diversity of WoS research categories, the most productive journals, and the topics analyzed. The highest impact on the world sciences in the field have can be attributed to European Universities, particularly from The Netherlands, Belgium, Switzerland, and Great Britain. However, China and the United States published the highest number of research papers.


2019 ◽  
Vol 11 (4) ◽  
pp. 1162 ◽  
Author(s):  
Claudia Parra Paitan ◽  
Peter Verburg

The increasing international trade of agricultural products has contributed to a larger diversity of food at low prices and represents an important economic value. However, such trade can also cause social, environmental and economic impacts beyond the limits of the countries directly involved in the exchange. Agricultural systems are telecoupled because the impacts caused by trade can generate important feedback loops, spillovers, rebound effects, time lags and non-linearities across multiple geographical and temporal scales that make these impacts more difficult to identify and mitigate. We make a comparative review of current impact assessment methods to analyze their suitability to assess the impacts of telecoupled agricultural supply chains. Given the large impacts caused by agricultural production on land systems, we focus on the capacity of methods to account for and spatially allocate direct and indirect land use change. Our analysis identifies trade-offs between methods with respect to the elements of the telecoupled system they address. Hybrid methods are a promising field to navigate these trade-offs. Knowledge gaps in assessing indirect land use change should be overcome in order to improve the accuracy of assessments.


2020 ◽  
Vol 14 (5) ◽  
pp. 924-934 ◽  
Author(s):  
Vassilis Daioglou ◽  
Geert Woltjer ◽  
Bart Strengers ◽  
Berien Elbersen ◽  
Goizeder Barberena Ibañez ◽  
...  

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