Development of Volume-derived Biomass Models for Three Coniferous Forest Types in ChinaChinese Full Text

ZENG Wei-sheng;Academy of Forest Inventory and Planning,National Forestry and Grassland Administration;

Abstract: [Objective] Stand-level biomass models/tables are important quantitative tools for implementing forest resources inventory and monitoring. Developing volume-derived biomass models for three coniferous forest types in China is not only an exploration of methodology, but also provides reference for practice. [Method] Based on field measurement data of 3 000 sample plots from three coniferous forest types（Larix spp., Pinus tabulaeformis and Cunninghamia lanceolata） in China, the volume-derived biomass models were developed through ordinary regression（OR）, weighted regression（WR）, and segmented modeling（SM） approaches; and the relevant published models were compared. [Result] The coefficients of determination（R2） of the volume-derived biomass models for the three coniferous forest types based on WR approach were between 0.912～0.937, the mean prediction errors（MPEs） were between 0.93%～1.58%, the total relative errors（TREs） were within ± 2.0%, and the TREs for validation were within ± 2.6%. The R2 values of the models based on SM approach were between 0.915～0.953, the MPEs were between 0.81%～1.55%, the TREs were within ± 0.3%, and the TREs for validation were within ± 1.3%. Using the data of this study to test the applicability of the relevant published biomass models for the three coniferous forest types, the TREs were 11.62%,-25.19% and-6.26%, respectively, and the errors for different biomass classes were quite higher, even systematic deviations appeared, and seriously exceeded the allowable error. [Conclusion] The stand-level biomass per hectare is linearly related to volume stock. The WR approach should be used preferentially when developing volume-derived biomass models, and the sample plots should be much enough and evenly distributed. When one model is not enough to obtain accurate estimates for different biomass classes perfectly, the SM approach can be used. The volume-derived biomass models developed in this study have low MPEs, indicating that they can be applied in practice.

Keywords：

biomass; weighted regression; segmented modeling; Larix spp.; Pinus tabulaeformis; Cunninghamia lanceolata;

DOI：
10.13275/j.cnki.lykxyj.2021.04.006
Series：
(D) Agriculture
Subject：
Forestry
Classification Code：
S757.2

Mobile Reading

Read on your phone instantly

Step 1
Scan QR Codes

"Mobile CNKI-CNKI Express" App

Step 2
Open“CNKI Express”

and click the scan icon in the upper left corner of the homepage.

Step 3
Scan QR Codes

Read this article on your phone.
CAJ Download
PDF Download

Development of Volume-derived Biomass Models for Three Coniferous Forest Types in ChinaChinese Full Text

ZENG Wei-sheng;Academy of Forest Inventory and Planning,National Forestry and Grassland Administration;

Read on your phone instantly

Citation Network

Related Literature