Final spatial and tabular data from a process-based model (3-PG) used to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA

Metadata Updated: December 3, 2020

Hybrid poplars have demonstrated high biomass productivity in the North Central USA as short rotation woody crops (SRWCs). However, our ability to quantitatively predict productivity for sites that are not currently in SRWCs is limited. In this study, the Physiological Processes Predicting Growth (3-PG) model was (1) assigned parameters for hybrid poplars using species-specific physiological data and allometric relationships from previously published studies, (2) calibrated for the North Central region using previously-published biomass data from eight plantations along with site-specific climate and soils data, (3) validated against previously published biomass data from four other plantations using linear regression of actual versus predicted total aboveground dry biomass, (4) evaluated for sensitivity of the model to manipulation of the parameter for age at full canopy cover (fullCanAge) and the fertility rating growth modifier, and (5) combined with soil and climate data layers to produce a map of predicted biomass productivity for the states of Minnesota and Wisconsin. This package contains the polygon feature layer and tabular data that correspond to 'Using a process-based model (3-PG) to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA.' (Headlee et al. 2013). The tabular data for mean annual biomass for hybrid poplar including the STATSGO soil and NARR climate values were used to generate the biomass values. The WTAvg_DM values represent the overall predicted biomass productivity for hybrid poplars.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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Dates

Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020
Publisher U.S. Forest Service
Unique Identifier Unknown
Maintainer
Identifier https://data-usfs.hub.arcgis.com/datasets/9498fec8c2f14b239a8ce3301bf01fc8
Data First Published 2017-11-22
Data Last Modified 2020-02-12
Category geospatial
Public Access Level public
Bureau Code 005:96
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Homepage URL https://data-usfs.hub.arcgis.com/datasets/9498fec8c2f14b239a8ce3301bf01fc8
License https://data-usfs.hub.arcgis.com/datasets/9498fec8c2f14b239a8ce3301bf01fc8/license.json
Metadata Type geospatial
Program Code 005:059
Source Datajson Identifier True
Source Hash 6adfe4a2352c4417313c01a9a87501c4ac7622df
Source Schema Version 1.1
Spatial -131.362,6.898,-65.638,72.622

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