Dataset Identification:
Resource Abstract:
- description: 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).;
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).
Citation
- 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.
-
- creation Date
2018-03-29T23:11:20.851250
Resource language:
Processing environment:
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Digital Transfer Options
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- Linkage for online resource
-
- name Dublin Core references URL
- URL: https://doi.org/10.2737/RDS-2016-0030
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T21:07:51Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T21:07:51Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
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- Contact information
-
-
- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:213f8908-96f4-4bc2-b448-dd484e74b45a
Metadata record format is ISO19139 XML (MD_Metadata)