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  • CN 62-1070/P
  • ISSN 1000-694X
  • Bimonthly 1981
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Aboveground Biomass Models Based on the Easy-to-measure Factors of Tamarix chinensis Shrub in the Lower Reaches of the Tarim River

  • Bai Yufeng ,
  • Chen Chaoqun ,
  • Xu Hailiang ,
  • Du Qing ,
  • Zhang Guangpeng
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  • 1. College of Foristry & Horticulture, Xinjiang Agricultural University, Urumqi 830052, China;
    2. Xinjiang Corps Survey and Design Institute Group Co., Ltd, Urumqi 830011, China;
    3. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

Received date: 2015-03-19

  Revised date: 2015-04-20

  Online published: 2016-07-20

Abstract

Based on the measured single branch weight of Tamarix chinensis from Yingsu to A'lagan Section, mathematical statistics methods were applied to establish the aboveground biomass estimation models. The best estimation models for each of them were picked out based on accuracy test, and then the significance of the difference between estimated value and measured value was tested according to Chi-square test. The result shows that the model, Ma=0.123(d2h)1.241(R2=0.844; Ma, d and h refer to single branch biomass, basal diameter and length of branch, respectively), which by using d2h as independent variable was best to estimate the biomass of single branch, the accuracy of it was 76.93%. Mb=1.335(SH)0.806(R2=0.788) and Mc=0.924S1.289(R2=0.771)were single cluster biomass estimation models of T.ramosissma, they were built taking crown area, crown area and height as independent variables respectively, whose estimation accuracy was 76.04%, 72.83%. The differences between measured value and estimated value of all three biomass estimation models above were analyzed by Chi-square test, the result shows that there were no significant differences between them.

Cite this article

Bai Yufeng , Chen Chaoqun , Xu Hailiang , Du Qing , Zhang Guangpeng . Aboveground Biomass Models Based on the Easy-to-measure Factors of Tamarix chinensis Shrub in the Lower Reaches of the Tarim River[J]. Journal of Desert Research, 2016 , 36(4) : 1014 -1020 . DOI: 10.7522/j.issn.1000-694X.2015.00081

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