Biomass Estimation Models for Dominant Sand-fixing Shrubs in Horqin Sand Land

doi:10.7522/j.issn.1000-694X.2018.00033

Journal of Desert Research ›› 2018, Vol. 38 ›› Issue (3): 553-559.DOI: 10.7522/j.issn.1000-694X.2018.00033

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Biomass Estimation Models for Dominant Sand-fixing Shrubs in Horqin Sand Land

Tong Xinfeng¹, Yang Hongling^2,3, Ning Zhiying^2,3, Zhang Ziqian^2,3, Li Yulin²

1. Husbandry Service Center of Mangnong Town, Ningcheng 024200, Inner Mengolia, China;
2. Naiman Desertification Research Station, Northwest Institute of Eco-environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2018-03-12 Revised:2018-04-10 Online:2018-05-20 Published:2018-11-06

Abstract

Abstract: Biomass estimation modelling is essential to rapidly evaluate the productivity of sand-fixing shrub forest. In this study, estimation model of above-ground, root and whole plant biomass was constructed after the proper independent variables were determined for 3 dominant sand-fixing shrubs, Caragana microphylla, Artemisia halondendron, and Salix gordejevii, in Kerqin Sand Land. The optimal models were selected according to the largest determination coefficients (R²), the smallest standard error of estimates (SEE) and significance level (P<0.05). The results showed that shrub canopy volume was the best independent variable of biomass estimation for C. microphylla and S. gordejevii, and shrub canopy area was the best independent variable for A. halondendron. Subsequently, the largest R² and the smallest SEE were detected in power function equations for above-ground, root and whole plant biomass of 3 shrubs. In addition, prediction precisions of power function equations for 3 shrubs exceeded 93%, suggesting that allometric growth equation was the optimal biomass models for dominant sand-fixing shrubs. These optimal biomass estimation models will be helpful for productivity evaluation of sand-fixing shrub forest, and thereby supply scientific basis for human management and involvement of sand-fixing shrub forest.

Key words: sand-fixing shrub forest, biomass, estimation model, prediction precision, Horqin Sand Land

CLC Number:

Q948.1

Tong Xinfeng, Yang Hongling, Ning Zhiying, Zhang Ziqian, Li Yulin. Biomass Estimation Models for Dominant Sand-fixing Shrubs in Horqin Sand Land[J]. Journal of Desert Research, 2018, 38(3): 553-559.

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Biomass Estimation Models for Dominant Sand-fixing Shrubs in Horqin Sand Land

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