scholarly journals Project level assessment of indirect land use changes arising from biofuel production

GCB Bioenergy ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1361-1375 ◽  
Author(s):  
Lorenzo Di Lucia ◽  
Eva Sevigné‐Itoiz ◽  
Steve Peterson ◽  
Ausilio Bauen ◽  
Raphael Slade
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Biofuel Production ◽  
Project Level

scholarly journals Mapping land use changes resulting from biofuel production and the effect of mitigation measures

GCB Bioenergy ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 804-824 ◽  
Author(s):  
Floor van der Hilst ◽  
Judith A. Verstegen ◽  
Geert Woltjer ◽  
Edward M. W. Smeets ◽  
Andre P. C. Faaij
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Biofuel Production ◽  
Mitigation Measures

scholarly journals Biofuels and land-use changes: searching for the top model

2011 ◽  
Vol 1 (2) ◽  
pp. 224-232 ◽  
Author(s):  
Andre M. Nassar ◽  
Leila Harfuch ◽  
Luciane C. Bachion ◽  
Marcelo R. Moreira
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Policy Making ◽  
Agricultural Sector ◽  
Land Use Changes ◽  
Ghg Emissions ◽  
Biofuel Production ◽  
Policy Makers ◽  
Green House Gas ◽  
Biofuel Policies

The use of agricultural-based biofuels has expanded. Discussions on how to assess green house gas (GHG) emissions from biofuel policies, specifically on (non-observed) land-use change (LUC) effects involve two main topics: (i) the limitations on the existing methodologies, and (ii) how to isolate the effects of biofuels. This paper discusses the main methodologies currently used by policy-makers to take decisions on how to quantify LUCs owing to biofuel production expansion. It is our opinion that the concerns regarding GHG emissions associated with LUCs should focus on the agricultural sector as a whole rather than concentrating on biofuel production. Actually, there are several limitations of economic models and deterministic methodologies for simulating and explaining LUCs resulting from the expansion of the agricultural sector. However, it is equally true that there are avenues of possibilities to improve models and make them more accurate and precise in order to be used for policy-making. Models available need several improvements to reach perfection. Any top model requires a concentration of interdisciplinary designers in order to replicate empirical evidence and capture correctly the agricultural sector dynamics for different countries and regions. Forgetting those limitations means that models will be used for the wrong purposes.

scholarly journals Examination of first generation biofuel production in some selected biofuel producing countries in Europe: A case study

2020 ◽  
Vol 66 (No. 10) ◽  
pp. 469-476
Author(s):  
Katalin Takács-György ◽  
Anett Lászlók ◽  
István Takács
Keyword(s):  
Land Use ◽  
Renewable Energy ◽  
Crop Production ◽  
First Generation ◽  
Raw Materials ◽  
Renewable Energy Sources ◽  
Land Use Changes ◽  
Logistic Function ◽  
Biofuel Production ◽  
The Eu

The EU is committed to increasing the use of renewable energy sources. In the sector of transportation, the share of renewable energy is to reach 10% by 2020 and 14% by 2030, respectively, in the EU. According to the latest forecasts, the production of the first-generation biofuels made from food raw materials is showing a declining tendency in the main European producing countries. Therefore, the objective of our research is to forecast the production of some selected biofuel producing countries within the EU as well as the traditional biofuel production in Hungary. The question of land use changes due to the new regulations is crucial. Our examinations were carried out by using Verhulst’s logistic function based on the biofuel production data of EUROSTAT. The function has already reached the saturation level in Germany, France and Sweden but in the case of other examined countries, biofuel production is also in the phase of slowing growth. Furthermore, findings are also justified by the 2015 regulation that restricts the share of producing first-generation biofuels in the final energy consumption to 7% and promotes the production of advanced biofuels, thereby decreasing the indirect change in land use and increasing sustainable crop production.

scholarly journals Policy challenges for food, energy and environmental security

2012 ◽  
Vol 6 (1-2) ◽  
pp. 15-25
Author(s):  
András Nábrádi ◽  
József Popp
Keyword(s):  
Land Use ◽  
Food Production ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Biofuel Production ◽  
Advanced Technologies ◽  
Biofuel Policies ◽  
Feedstock Production ◽  
Effects Of Land Use ◽  
Ghg Savings

Limited land is available globally to grow crops for food and fuel. There are direct and indirect pressures on forests and other lands to be converted from growing food for feedstock to be used for biofuel production. The balance of evidence indicates there will probably be sufficient appropriate land available to meet demands for both food and fuel, but this needs to be confirmed before global supply of biofuel is allowed to increase significantly. There is a future for a sustainable biofuels industry, but feedstock production must avoid encroaching on agricultural land that would otherwise be used for food production. And while advanced technologies offer significant potential for higher greenhouse gas (GHG) savings through biofuels, these will be offset if feedstock production uses existing agricultural land and prevents land-use change. GHG savings can be achieved by using feedstock grown mainly on marginal land or that does not use land, such as wastes and residues. To ensure that biofuels deliver net GHG benefits, governments should amend, but not abandon, their biofuel policies in recognition of the dangers from indirect effects of land-use changes. Large areas of uncertainty remain in the overall impacts and benefits of biofuels. International action is needed in order to improve data, models and controls, and to understand and to manage effects.

Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Matheus Supriyanto Rumetna ◽  
Eko Sediyono ◽  
Kristoko Dwi Hartomo
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Autocorrelation ◽  
Land Use Changes ◽  
Geographical Information ◽  
Moran’S I ◽  
Complete Spatial Randomness ◽  
Moran's I ◽  
Global Moran’S I ◽  
Spatial Randomness

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.

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