NDLI: Allometric Equations for Applying Plot Inventory and Remote Sensing Data to Assess Coarse Root Biomass Energy in Subtropical Forests

Content Provider	Springer Nature Link
Author	Gou, Mengmeng Xiang, Wenhua Song, Tongqing Lei, Pifeng Zhang, Shengli Ouyang, Shuai Zeng, Yelin Deng, Xiangwen Fang, Xi Wang, Kelin
Copyright Year	2017
Abstract	Coarse root biomass (CRB) is an important store of carbon (C) and forest residue for renewable energy, but is often overlooked due to the lack of a simple and effective way to estimate its magnitude. In this study, we developed allometric equations for three functional groups using data from 133 tree samples, with a diameter at breast height (DBH) ranging from 2.6 to 52.0 cm. The functional groups included evergreen coniferous (Pinus massoniana), deciduous broad-leaved (Alniphyllum fortunei, Choerospondias axillaris, Liquidambar formosana and Quercus fabri) and evergreen broad-leaved (Castanopsis carlesii, Cyclobalanopsis glauca, Litsea coreana and Schima superba) species. Allometric equations that related CRB to plot inventory data (e.g. DBH or tree height (H)) and their combinations significantly fitted (P < 0.0001) for the functional groups and all tree species. The equations using DBH or DBH-H as predictor variables were the best fit (R $^{2}$ ≥ 0.90) and produced good predictions with little bias (less than 21%) for local sites and at regional scales. Allometric equations related to easily obtained remote sensing data (i.e. crown width (CW) and H) were also significantly fitted (P < 0.0001, R $^{2}$ ≥ 0.76), and predictions were close to the observed CRB, despite a high bias (larger than 98.0%). In conclusion, the use of these equations to estimate CRB is essential to the harvest process and helps to formulate new policies for managing the feedstock supply to bioenergy production in subtropical forests.
Starting Page	536
Ending Page	546
Page Count	11
File Format	PDF
ISSN	19391234
Journal	BioEnergy Research
Volume Number	10
Issue Number	2
e-ISSN	19391242
Language	English
Publisher	Springer US
Publisher Date	2017-03-06
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Coarse root biomass Bioenergy Allometric equations Functional groups Remote sensing Subtropical forests 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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