Title:

Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services

Author(s):

Headlee, William L.; Lietz, Sue M.; Baumann, Tina M.; Zalesny, Ronald S. Jr.; Donner, Deahn M.; Coyle, David R.

Publication Year:

2016

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data package:

Headlee, William L.; Lietz, Sue M.; Baumann, Tina M.; Zalesny, Ronald S. Jr.; Donner, Deahn M.; Coyle, David R. 2016. Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0030

Abstract:

Short rotation woody crops such as Populus spp. and their hybrids (i.e., poplars) are a significant component of the total biofuels and bioenergy feedstock resource in the USA. We used available social (i.e., land ownership and cover) and biophysical (i.e., climate and soil characteristics) spatial data to map eligible lands suitable for establishing and growing poplar biomass for bioenergy crops across Minnesota and Wisconsin, USA. This package contains a polygon feature layer and tabular data produced for the 'An approach for siting poplar energy production systems to increase productivity and associated ecosystem services' (Zalesny et al. 2012). The polygon feature layer represents a coarse resolution (approximately 32-kilometer) polygon lattice framework. The associated tabular data includes the mean annual biomass for poplar as well as the SSURGO soil and NARR climate values that were used to generate the biomass values. The WTD_Avg_DM values represent the poplar productivity generated by the Physiological Processes Predicting Growth (3-PG) model. The additional ERDAS IMAGINE raster image contains the final spatial predictions of biomass productivity for hybrid poplar at a finer scale (30-meter resolution).

Keywords:

3-PG; biofuels; bioenergy; bioproducts; Populus; productivity modeling; SSURGO; NARR; farming; environment; Forest Products; Bioenergy and biomass; Natural Resource Management & Use; Agroforestry; Restoration; Ecosystem services; Minnesota; Wisconsin

Related publications:

• Zalesny, Ronald S. Jr.; Donner, Deahn M.; Coyle, David R.; Headlee, William L. 2012. An approach for siting poplar energy production systems to increase productivity and associated ecosystem services. Forest Ecology and Management. 284:45-58. https://doi.org/10.1016/j.foreco.2012.07.022 https://research.fs.usda.gov/treesearch/pubs/41646
• Zalesny, Ronald S. Jr.; Donner, Deahn M.; Coyle, David R.; Headlee, William L.; Hall, R.B. 2010. An approach for siting poplar energy production systems to increase productivity and associated ecosystem services. Fifth international poplar symposium: Poplars and willows: from research models to multipurpose trees for a biobased society. IUFRO: 110. 2010 September 20-25; Orvieto, Italy. https://research.fs.usda.gov/treesearch/pubs/36508

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