Trends in Land Use in Spain and their Meaning to Bioenergy Production

Author(s):  
Javier Sánchez ◽  
Pedro Luis Aguado ◽  
María Dolores Curt ◽  
Jesús Fernández
2012 ◽  
Author(s):  
David D Bosch ◽  
Jeff G Arnold ◽  
Jim R Kiniry ◽  
George Vellidis ◽  
Puneet Srivastava

2017 ◽  
Vol 69 ◽  
pp. 167-175 ◽  
Author(s):  
Kari Laasasenaho ◽  
Anssi Lensu ◽  
Jukka Rintala ◽  
Risto Lauhanen

GCB Bioenergy ◽  
2011 ◽  
Vol 4 (4) ◽  
pp. 372-391 ◽  
Author(s):  
Axel Don ◽  
Bruce Osborne ◽  
Astley Hastings ◽  
Ute Skiba ◽  
Mette S. Carter ◽  
...  

Forests ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 159 ◽  
Author(s):  
Thomas Ochuodho ◽  
Janaki Alavalapati ◽  
Pankaj Lal ◽  
Domena Agyeman ◽  
Bernabas Wolde ◽  
...  

The growing attention to renewable energy and rural development has created greater demand for production of biomass feedstock for bioenergy. However, forest growth rates and the amount of land in most existing forests may not be sufficient to sustainably supply the forest biomass required to support existing forest products industries and the expanding bioenergy industry. Additionally, concerns about agricultural land use competition have dampened expansion of biomass production on agricultural land base. One of the ways to meet the growing forest biomass feedstock demand for bioenergy production is by allocating currently marginal non-forested land for growing bioenergy feedstocks. In Virginia, about 80% of forestland is under nonindustrial private forest ownership. The land use allocation decisions of these private owners are critical for the supply of the forest biomass feedstock to support bioenergy production. We apply a computable general equilibrium model to assess the economy-wide impacts of forestland owners’ willingness to plant pine on non-forested land for woody bioenergy in Virginia. We consider three counterfactual scenarios of biomass feedstock supply increase as intermediate demand for bioenergy production based on forestland owners’ willingness to accept biomass bid prices to set aside more non-forested land for biomass production in Virginia under general equilibrium conditions. Overall, the results show an increase in social welfare and household utility but a marginal decline in GDP. However, increased demand of biomass from logging sector depressed the manufacturing sector (the wood manufacturing sub-sector particularly), which also relies on the logging sector for its intermediate inputs. Results from this study provide insights into the bioenergy land use competition debate, and pathways towards sustainable bioenergy feedstock supply.


2018 ◽  
Vol 210 ◽  
pp. 580-590 ◽  
Author(s):  
Jia Zhong ◽  
T. Edward Yu ◽  
Christopher D. Clark ◽  
Burton C. English ◽  
James A. Larson ◽  
...  

2016 ◽  
Vol 10 (3) ◽  
pp. 222-239 ◽  
Author(s):  
Anna M. Hennecke ◽  
Maria Mueller-Lindenlauf ◽  
Carlos A. García ◽  
Alfredo Fuentes ◽  
Enrique Riegelhaupt ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Fang Yin ◽  
Yihui Xiong ◽  
Li Jiang ◽  
Zhiguo Pang

Energy shortfalls are becoming more and more serious all over the world, and worldwide governments have tried to promote the development of biofuels in order to mitigate the climatic impacts of massive fossil fuel consumption. Since the land is the main input factor of the bioenergy production, the development of biofuels will inevitably lead to change of the land use structure and allocation and thereby affect the climate system. With Central Europe as the study area, this study explored the impacts of land use/land cover change (LUCC) on climate under the influence of demand of bioenergy production for land resources. First, the land use structure from 2010 to 2050 is simulated with the Agriculture and Land Use model in MiniCam. The result indicates that the main conversion will be mainly from grassland and forest to cropland and from cropland to grassland. Then the Dynamics of Land System model was used to spatially simulate the LUCC in the future. The impacts of LUCC on the climate were analyzed on the basis of simulation with the Weather Research and Forecasting (WRF) model. The climate change will be characterized by the increase of latent heat flux and temperature and the decrease of precipitation.


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