A Study of Above-ground Bimass structure and the Regression Models of Three species of <i>Fargesia</i> in Beichuan

TANG Ting; HU Jin-yao; YANG Yuan-bing; FU Hong-wei; DENG Dong-zhou

doi:10.16779/j.cnki.1003-5508.2015.02.007

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Volume 36 Issue 2

Nov. 2019

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Article Navigation > Journal of Sichuan Forestry Science and Technology > 2015 > 36(2): 32-37

TANG Ting, HU Jin-yao, YANG Yuan-bing, FU Hong-wei, DENG Dong-zhou. A Study of Above-ground Bimass structure and the Regression Models of Three species of Fargesia in Beichuan[J]. Journal of Sichuan Forestry Science and Technology, 2015, 36(2): 32-37. doi: 10.16779/j.cnki.1003-5508.2015.02.007

Citation:

TANG Ting, HU Jin-yao, YANG Yuan-bing, FU Hong-wei, DENG Dong-zhou. A Study of Above-ground Bimass structure and the Regression Models of Three species of Fargesia in Beichuan[J]. Journal of Sichuan Forestry Science and Technology, 2015, 36(2): 32-37. doi: 10.16779/j.cnki.1003-5508.2015.02.007

A Study of Above-ground Bimass structure and the Regression Models of Three species of Fargesia in Beichuan

doi: 10.16779/j.cnki.1003-5508.2015.02.007

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Department of Life Science and Technology, Mianyang Normal University, Mianyang 621000, China;Beichuan Foresty Bureau, Beichuan 622750, China;Sichuan Academy of Forestry, Chengdu 610081, China

Received Date: 2015-01-04

Abstract

In order to understand the community ecology process of Fargesia and explore the carring capacity of panda habitat,studies were made of on the biomass distribution pattern of above-ground organs of three kinds of Fargesia and the regression models of each biomass component were also based on BD and culm height. The results showed that:(1) among the above-ground organs, the culm biomass was much more than the branch and leaf biomass. In the culm biomass allocation, Fargesia angustissima > Fargesia nitida > Fargesia scabrida. In the branches biomass allocation,Fargesia scabrida > Fargesia angustissima > Fargesia nitida. In the leaf biomass, Fargesia scabrida > Fargesia nitida > Fargesia angustissima. (2) Various components were highly correlated with BD. The models of fresh culm weight(W₁) based on BD of the three Fargesia species were W₁=1/[7.761 + (-29.385e^-B)](Fargesia angustissima), W₁=0.367B^2.614(Fargesia nitida), W₁=1/[4.804 + (-11.414e^-B)](Fargesia scabrida). According to these models the community biomass of those three Fargesia species could be accurately estimated,and thus the carrying capacity of panda habitat could also be estimated.
- Fargesia;
- Biomass distribution pattern;
- Regression models;
- Carrying capacity
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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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A Study of Above-ground Bimass structure and the Regression Models of Three species of Fargesia in Beichuan

doi: 10.16779/j.cnki.1003-5508.2015.02.007

Department of Life Science and Technology, Mianyang Normal University, Mianyang 621000, China;Beichuan Foresty Bureau, Beichuan 622750, China;Sichuan Academy of Forestry, Chengdu 610081, China

Received Date: 2015-01-04

Key words:

Abstract: In order to understand the community ecology process of Fargesia and explore the carring capacity of panda habitat,studies were made of on the biomass distribution pattern of above-ground organs of three kinds of Fargesia and the regression models of each biomass component were also based on BD and culm height. The results showed that:(1) among the above-ground organs, the culm biomass was much more than the branch and leaf biomass. In the culm biomass allocation, Fargesia angustissima > Fargesia nitida > Fargesia scabrida. In the branches biomass allocation,Fargesia scabrida > Fargesia angustissima > Fargesia nitida. In the leaf biomass, Fargesia scabrida > Fargesia nitida > Fargesia angustissima. (2) Various components were highly correlated with BD. The models of fresh culm weight(W₁) based on BD of the three Fargesia species were W₁=1/[7.761 + (-29.385e^-B)](Fargesia angustissima), W₁=0.367B^2.614(Fargesia nitida), W₁=1/[4.804 + (-11.414e^-B)](Fargesia scabrida). According to these models the community biomass of those three Fargesia species could be accurately estimated,and thus the carrying capacity of panda habitat could also be estimated.