Impact of land classification on potential warm season grass biomass production in Ontario, Canada

2013 ◽  
Vol 93 (2) ◽  
pp. 249-260 ◽  
Author(s):  
Hilla Kludze ◽  
Bill Deen ◽  
Alfons Weersink ◽  
Rene van Acker ◽  
Ken Janovicek ◽  
...  

Kludze, H., Deen, B., Weersink, A., van Acker, R., Janovicek, K. and De Laporte, A. 2013. Impact of land classification on potential warm season grass biomass production in Ontario, Canada. Can. J. Plant Sci. 93: 249–260. This paper examines the land base of southern Ontario to determine the capability of land classes for growing two warm-season grasses, switchgrass (Panicum virgatum) and miscanthus (Miscanthus spp.), and discusses implications of a provincial biomass industry strictly based on biomass grown on marginal lands. The development of a biomass energy industry is a priority for many regional governments in Canada as a means to reduce fossil fuel use and improve environmental quality. Biomass productivity of the two crops was determined by assuming percentages of arable land area by quality that could be allocated to them: biomass productivity on “prime lands” was assumed to be higher than those of “marginal lands”. Our analysis indicates that Ontario has an adequate land base for producing miscanthus and/or switchgrass biomass to meet and surpass diverse competitive uses without significantly affecting food crop supply. Locations of marginal lands are scattered in the province and the feasibility of establishing a provincial biomass industry strictly based on biomass grown on these lands may not be economically sound or practical. A relatively small percentage of prime lands is required to achieve substantial biomass production with lower costs of production, and perhaps greater environmental benefit.

Crop Science ◽  
2014 ◽  
Vol 54 (5) ◽  
pp. 2373-2385 ◽  
Author(s):  
Catherine L. Bonin ◽  
Rattan Lal ◽  
Benjamin F. Tracy

2018 ◽  
Vol 154 ◽  
pp. 82-88 ◽  
Author(s):  
Silvia Susana Paredes ◽  
Néstor Pedro Stritzler ◽  
Alfredo Bono ◽  
Roberto Alejandro Distel

1987 ◽  
Vol 65 (2) ◽  
pp. 359-365 ◽  
Author(s):  
M. G. Ward ◽  
J. K. Ward

Author(s):  
I. S. Braden ◽  
Kenneth J. Moore ◽  
R. L. Hintz ◽  
M. H. Wiedenhoeft ◽  
E. Charles Brummer ◽  
...  

2020 ◽  
Vol 3 (1) ◽  
pp. 93
Author(s):  
Iulian Constantin Dănilă

Short rotation forestry (SRF) provides an important supply of biomass for investors in this area. In the NE (North-East) part of Romania at the present time are installed over 800 Ha of this kind of crops. The SRF enjoys the support through environmental policies, in relation to climate change and the provisions of the Kyoto Protocol to reduce the concentration of CO2 in the atmosphere. A precise estimate of biomass production is necessary for the sustainable planning of forest resources and for the exchange of energy in ecosystems. The use of the terrestrial laser scanner (TLS) in estimating the production of above ground wood biomass (AGWB) of short rotation forestry (SRF) brings an important technological leap among indirect (non-destructive) methods. TLS technology is justified when destructive methods become difficult to implement, and allometric equations do not provide accurate information. The main purpose of the research is to estimate the biomass productivity on tree parts in short rotation forestry with TLS technology. Measuring the hybrid poplars crops by TLS may have the following consequences: (1) Higher accuracy of the estimate of biomass production in the SRF; (2) cost and time effective measurements over the biomass of tree parts; (3) new and validated allometric equations for SRF in NE Romania; (4) solid instrument for industry to estimate biomass. TLS technology gives accurate estimates for DBH, tree height and location, as much as the volume on segments, commercial volume or crown volume can be determined. The accuracy of these values depends on the original scan data and their co-registration. The research will contribute to the development of knowledge in the field of hybrid crops.


2017 ◽  
Vol 95 (7) ◽  
pp. 3143-3153 ◽  
Author(s):  
W. M. Backus ◽  
J. C. Waller ◽  
G. E Bates ◽  
C. A. Harper ◽  
A. Saxton ◽  
...  

Crop Science ◽  
2017 ◽  
Vol 57 (6) ◽  
pp. 3343-3351 ◽  
Author(s):  
Andrew R. Jakubowski ◽  
Michael D. Casler ◽  
Randall D. Jackson

Crop Science ◽  
2013 ◽  
Vol 53 (2) ◽  
pp. 724-731 ◽  
Author(s):  
Miguel S. Castillo ◽  
Lynn E. Sollenberger ◽  
Ann R. Blount ◽  
Jason A. Ferrell ◽  
Mary J. Williams ◽  
...  

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