NDLI: Using a Process-Based Model (3-PG) to Predict and Map Hybrid Poplar Biomass Productivity in Minnesota and Wisconsin, USA

Content Provider	Springer Nature Link
Author	Headlee, William L. Zalesny, Ronald S. Donner, Deahn M. Hall, Richard B.
Copyright Year	2012
Abstract	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. As a result, stakeholders are also limited in their ability to evaluate different areas within the region as potential supply sheds for wood-based bioenergy facilities. A reliable method for predicting productivity across the region is needed; preferably, such a method will also lend itself to generating yield maps that stakeholders can use to inform their decision making. In this study, the Physiological Processes Predicting Growth 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 (R $^{2}$ = 0.89, RMSE = 8.1 Mg ha$^{−1}$, mean bias = 5.3 Mg ha$^{−1}$), (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. Mean annual biomass productivity (total aboveground dry biomass divided by age) ranged from 4.4 to 13.0 Mg ha$^{−1}$ year$^{−1}$ across the states, with the highest productivity mainly concentrated in the area stretching from south-central Minnesota across southern Wisconsin.
Starting Page	196
Ending Page	210
Page Count	15
File Format	PDF
ISSN	19391234
Journal	BioEnergy Research
Volume Number	6
Issue Number	1
e-ISSN	19391242
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-09-08
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	3-PG Geographic information system Populus Site quality Yield Plant Sciences Plant Genetics & Genomics Plant Breeding/Biotechnology Plant Ecology Wood Science & Technology
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment Agronomy and Crop Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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