Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain

JIANG Yunjiao; HAN Yiqun; LI Mingyang; WANG Yixiao

doi:10.11833/j.issn.2095-0756.2015.04.003

Volume 32 Issue 4

Jul. 2015

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JIANG Yunjiao, HAN Yiqun, LI Mingyang, WANG Yixiao. Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain[J]. Journal of Zhejiang A&F University, 2015, 32(4): 509-515. doi: 10.11833/j.issn.2095-0756.2015.04.003

Citation:

JIANG Yunjiao, HAN Yiqun, LI Mingyang, WANG Yixiao. Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain[J]. Journal of Zhejiang A&F University, 2015, 32(4): 509-515. doi: 10.11833/j.issn.2095-0756.2015.04.003

Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain

doi: 10.11833/j.issn.2095-0756.2015.04.003

1.
College of Forestry, Nanjing Forestry University, Nanjing 210037, Jiangsu, China

Funds:

国家自然科学基金资助项目（31170592）

Received Date: 2014-10-09
Rev Recd Date: 2014-12-12
Publish Date: 2015-08-20

Abstract

Monitoring biological diversity is a core scientific research project in the field of international biological diversity. To overcome drawbacks with traditional ground surveys, such as intensive labor and low efficiency, this study used remote sensing based estimation of biological diversity at the landscape scale. Zijin （Purple） Mountain National Forest Park in Nanjing was the research area where survey data from 90 field plots were collected in 2011, and Advanced Land Observing Satellite （ALOS） remote sensing imaging in the same year was gathered to build remote sensing based models for the Gleason Index and Shannon-Wiener Index. Then a trend surface analysis was conducted with hot spot detection for biodiversity indexes. Results showed that: 1） terrain factors （Gradient and elevation）, human disturbance （the distance of road and residential areas）, and vegetation growth conditions （the indexes of Gleason and Shannon-Wiener） were the primary environmental factors contributing to tree species diversity. 2） The Gleason Index for Zijin Mountain presented a ring pattern descending from southwest to northeast, and the Shannon-Wiener Index revealed a spatial pattern of a concentric circle with an eastward center. 3） Forest stands with a higher Gleason Index in Zijin Mountain were mainly located in places at lower elevations, with gentler slopes, and near roads and settlements; whereas, stands with a higher Shannon-Wiener Index were mainly concentrated in places at higher elevations, with steeper slopes, and far from road and residential lots. Therefore, we can protect tree species biodiversity for Zijin Mountain by the two means of increasing tree species and establishing conservation area.［Ch, 7 fig. 1 tab 14 ref.］
- forest mensuration,
- biodiversity,
- scenic forest,
- Zijin （Purple） Mountain,
- remote sensing

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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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Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain

1. College of Forestry, Nanjing Forestry University, Nanjing 210037, Jiangsu, China

Funds:

国家自然科学基金资助项目（31170592）

Received Date: 2014-10-09

Rev Recd Date: 2014-12-12

Publish Date: 2015-08-20

Key words:

Abstract: Monitoring biological diversity is a core scientific research project in the field of international biological diversity. To overcome drawbacks with traditional ground surveys, such as intensive labor and low efficiency, this study used remote sensing based estimation of biological diversity at the landscape scale. Zijin （Purple） Mountain National Forest Park in Nanjing was the research area where survey data from 90 field plots were collected in 2011, and Advanced Land Observing Satellite （ALOS） remote sensing imaging in the same year was gathered to build remote sensing based models for the Gleason Index and Shannon-Wiener Index. Then a trend surface analysis was conducted with hot spot detection for biodiversity indexes. Results showed that: 1） terrain factors （Gradient and elevation）, human disturbance （the distance of road and residential areas）, and vegetation growth conditions （the indexes of Gleason and Shannon-Wiener） were the primary environmental factors contributing to tree species diversity. 2） The Gleason Index for Zijin Mountain presented a ring pattern descending from southwest to northeast, and the Shannon-Wiener Index revealed a spatial pattern of a concentric circle with an eastward center. 3） Forest stands with a higher Gleason Index in Zijin Mountain were mainly located in places at lower elevations, with gentler slopes, and near roads and settlements; whereas, stands with a higher Shannon-Wiener Index were mainly concentrated in places at higher elevations, with steeper slopes, and far from road and residential lots. Therefore, we can protect tree species biodiversity for Zijin Mountain by the two means of increasing tree species and establishing conservation area.［Ch, 7 fig. 1 tab 14 ref.］

Remote sensing based estimation and spatial distribution of tree species diversity for Zijin Mountain

doi: 10.11833/j.issn.2095-0756.2015.04.003

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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