Forest biomass estimation in Shangri-La based on the remote sensing

WANG Jinliang; CHENG Pengfei; XU Shen; WANG Xiaohua; CHENG Feng

doi:10.11833/j.issn.2095-0756.2013.03.003

Volume 30 Issue 3

May 2013

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WANG Jinliang, CHENG Pengfei, XU Shen, WANG Xiaohua, CHENG Feng. Forest biomass estimation in Shangri-La based on the remote sensing[J]. Journal of Zhejiang A&F University, 2013, 30(3): 325-329. doi: 10.11833/j.issn.2095-0756.2013.03.003

Citation:

WANG Jinliang, CHENG Pengfei, XU Shen, WANG Xiaohua, CHENG Feng. Forest biomass estimation in Shangri-La based on the remote sensing[J]. Journal of Zhejiang A&F University, 2013, 30(3): 325-329. doi: 10.11833/j.issn.2095-0756.2013.03.003

Forest biomass estimation in Shangri-La based on the remote sensing

doi: 10.11833/j.issn.2095-0756.2013.03.003

1.
College of Tourism & Geographical Sciences，Yunnan Normal University，Kunming 650500，Yunnan，China;
2.
Yunnan 198 Coal Geological Exploration Team，Kunming 650208，Yunnan，China;
3.
No.1 Middle School of Xishan District，Kunming 650106，Yunnan，China;
4.
Urban Planning Bureau of Liangping County，Chongqing Municipality，Liangping 405200，Chongqing，China

More Information

Corresponding author: WANG Jinliang
Received Date: 2012-04-08
Rev Recd Date: 2012-05-29
Publish Date: 2013-06-20

Abstract

To provide a basis for analyzing the forest carbon cycle，carbon storage，and carbon changes，forest biomass，the main parameter for determining carbon cycle processes in terrestrial ecosystems，was estimated. Variables measured in the study site of Shangri-La，Yunnan Province，included the vegetation index，precipitation，accumulated temperature，total radiation，and elevation. Established models of regional forest biomass estimations for spruce-fir forests （Abies georgei and Picea likiangensis），oak forests （Quercus aquifolioides），Yunnan pine forests （Pinus yunnanensis），and alpine pine forests （Pinus densata） were tested by combining layers of remote sensing integrated factors，of geographic comprehensive factors，and of the above listed variables. Then，forest biomass was estimated. Results revealed a total biomass of 1.14 hundred million tons with the following forest type biomass estimates in hundred million tons：spruce fir forests was 0.71，oak forests 0.14，Yunnan pine forests 0.09，and Alpine pine forests 0.20. Also，for these forest types，altitude and slope influenced distribution of total biomass，but aspect did not.［Ch，1 fig. 7 tab. 10 ref.］
- forest ecology,
- Shangri-La,
- remote-sensing information model,
- biomass,
- estimates,
- spatial distribution

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Forest biomass estimation in Shangri-La based on the remote sensing

1. College of Tourism & Geographical Sciences，Yunnan Normal University，Kunming 650500，Yunnan，China;

2. Yunnan 198 Coal Geological Exploration Team，Kunming 650208，Yunnan，China;

3. No.1 Middle School of Xishan District，Kunming 650106，Yunnan，China;

4. Urban Planning Bureau of Liangping County，Chongqing Municipality，Liangping 405200，Chongqing，China

Corresponding author: WANG Jinliang

Received Date: 2012-04-08

Rev Recd Date: 2012-05-29

Publish Date: 2013-06-20

Key words:

Abstract: To provide a basis for analyzing the forest carbon cycle，carbon storage，and carbon changes，forest biomass，the main parameter for determining carbon cycle processes in terrestrial ecosystems，was estimated. Variables measured in the study site of Shangri-La，Yunnan Province，included the vegetation index，precipitation，accumulated temperature，total radiation，and elevation. Established models of regional forest biomass estimations for spruce-fir forests （Abies georgei and Picea likiangensis），oak forests （Quercus aquifolioides），Yunnan pine forests （Pinus yunnanensis），and alpine pine forests （Pinus densata） were tested by combining layers of remote sensing integrated factors，of geographic comprehensive factors，and of the above listed variables. Then，forest biomass was estimated. Results revealed a total biomass of 1.14 hundred million tons with the following forest type biomass estimates in hundred million tons：spruce fir forests was 0.71，oak forests 0.14，Yunnan pine forests 0.09，and Alpine pine forests 0.20. Also，for these forest types，altitude and slope influenced distribution of total biomass，but aspect did not.［Ch，1 fig. 7 tab. 10 ref.］

Forest biomass estimation in Shangri-La based on the remote sensing

doi: 10.11833/j.issn.2095-0756.2013.03.003

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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