Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China
Abstract
Spartina alterniflora is one of the most hazardous invasive plant species in China. Monitoring the changes in dominant plant species can help identify the invasion mechanisms of S. alterniflora, thereby providing scientific guidelines on managing or controlling the spreading of this invasive species at Jiuduansha Wetland in Shanghai, China. However, because of the complex terrain and the inaccessibility of tidal wetlands, it is very difficult to conduct field experiments on a large scale in this wetland. Hence, remote sensing plays an important role in monitoring the dynamics of plant species and its distribution on both spatial and temporal scales. In this paper, based on multi-spectral and high resolution (<10 m) remote sensing images and field observational data, we analyzed spectral characteristics of four dominant plant species at different green-up phenophases. Based on the difference in spectral characteristics, a decision tree classification was built for identifying the distribution of these plant species. The results indicated that the overall classification accuracy for plant species was 87.17%, and the Kappa Coefficient was 0.81, implying that our classification method could effectively identify the four plant species. We found that the area of Phragmites australi showed an increasing trend from 1997 to 2004 and frommore »
- Authors:
-
- Shanghai Normal Univ. (China). College of Tourism
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
- Beijing Normal Univ. (China). College of Resource
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Shanghai Normal Univ. (China); Beijing Normal Univ. (China)
- Sponsoring Org.:
- USDOE; Shanghai Natural Science Foundation (China); National Natural Science Foundation of China (NSFC); Shanghai Normal Univ. (China); National Special Research Fund for Public Welfare (Meteorology) of China
- OSTI Identifier:
- 1265628
- Grant/Contract Number:
- AC05-00OR22725; 15ZR1431000; 40801168; DYL201403; GYHY201406028
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Remote Sensing
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 8; Journal ID: ISSN 2072-4292
- Publisher:
- MDPI
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; decision tree classification; Normalized Difference Vegetation Index (NDVI); phenological characteristics; invasive species
Citation Formats
Lin, Wenpeng, Chen, Guangsheng, Guo, Pupu, Zhu, Wenquan, and Zhang, Donghai. Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China. United States: N. p., 2015.
Web. doi:10.3390/rs70810227.
Lin, Wenpeng, Chen, Guangsheng, Guo, Pupu, Zhu, Wenquan, & Zhang, Donghai. Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China. United States. https://doi.org/10.3390/rs70810227
Lin, Wenpeng, Chen, Guangsheng, Guo, Pupu, Zhu, Wenquan, and Zhang, Donghai. Tue .
"Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China". United States. https://doi.org/10.3390/rs70810227. https://www.osti.gov/servlets/purl/1265628.
@article{osti_1265628,
title = {Remote-Sensed Monitoring of Dominant Plant Species Distribution and Dynamics at Jiuduansha Wetland in Shanghai, China},
author = {Lin, Wenpeng and Chen, Guangsheng and Guo, Pupu and Zhu, Wenquan and Zhang, Donghai},
abstractNote = {Spartina alterniflora is one of the most hazardous invasive plant species in China. Monitoring the changes in dominant plant species can help identify the invasion mechanisms of S. alterniflora, thereby providing scientific guidelines on managing or controlling the spreading of this invasive species at Jiuduansha Wetland in Shanghai, China. However, because of the complex terrain and the inaccessibility of tidal wetlands, it is very difficult to conduct field experiments on a large scale in this wetland. Hence, remote sensing plays an important role in monitoring the dynamics of plant species and its distribution on both spatial and temporal scales. In this paper, based on multi-spectral and high resolution (<10 m) remote sensing images and field observational data, we analyzed spectral characteristics of four dominant plant species at different green-up phenophases. Based on the difference in spectral characteristics, a decision tree classification was built for identifying the distribution of these plant species. The results indicated that the overall classification accuracy for plant species was 87.17%, and the Kappa Coefficient was 0.81, implying that our classification method could effectively identify the four plant species. We found that the area of Phragmites australi showed an increasing trend from 1997 to 2004 and from 2004 to 2012, with an annual spreading rate of 33.77% and 31.92%, respectively. The area of Scirpus mariqueter displayed an increasing trend from 1997 to 2004 (12.16% per year) and a decreasing trend from 2004 to 2012 (-7.05% per year). S. alterniflora has the biggest area (3302.20 ha) as compared to other species, accounting for 51% of total vegetated area at the study region in 2012. It showed an increasing trend from 1997 to 2004 and from 2004 to 2012, with an annual spreading rate of 130.63% and 28.11%, respectively. As a result, the native species P. australi was surrounded and the habitats of S. mariqueter were occupied by S. alterniflora. The high proliferation ability and competitive advantage for S. alterniflora inhibited the growth of other plant species and we anticipate a continuous expansion of this invasive species at Jiuduansha Wetland. Finally, effective measures should be taken to control the invasion of S. alterniflora.},
doi = {10.3390/rs70810227},
journal = {Remote Sensing},
number = 8,
volume = 7,
place = {United States},
year = {Tue Aug 11 00:00:00 EDT 2015},
month = {Tue Aug 11 00:00:00 EDT 2015}
}
Web of Science
Works referenced in this record:
What Does Remote Sensing Do For Ecology?
journal, December 1991
- Roughgarden, J.; Running, S. W.; Matson, P. A.
- Ecology, Vol. 72, Issue 6
African Land-Cover Classification Using Satellite Data
journal, January 1985
- Tucker, C. J.; Townshend, J. R. G.; Goff, T. E.
- Science, Vol. 227, Issue 4685
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data
journal, January 2000
- Loveland, T. R.; Reed, B. C.; Brown, J. F.
- International Journal of Remote Sensing, Vol. 21, Issue 6-7
Global land cover classification at 1 km spatial resolution using a classification tree approach
journal, January 2000
- Hansen, M. C.; Defries, R. S.; Townshend, J. R. G.
- International Journal of Remote Sensing, Vol. 21, Issue 6-7
GLC2000: a new approach to global land cover mapping from Earth observation data
journal, May 2005
- Bartholomé, E.; Belward, A. S.
- International Journal of Remote Sensing, Vol. 26, Issue 9
Global land cover mapping from MODIS: algorithms and early results
journal, November 2002
- Friedl, M. A.; McIver, D. K.; Hodges, J. C. F.
- Remote Sensing of Environment, Vol. 83, Issue 1-2
Invasive Spartina alterniflora: biology, ecology and management
journal, January 2006
- Wang, Qing
- Acta Phytotaxonomica Sinica, Vol. 44, Issue 5
The Measurement of Observer Agreement for Categorical Data
journal, March 1977
- Landis, J. Richard; Koch, Gary G.
- Biometrics, Vol. 33, Issue 1
journal, January 2007
- Hua-Mei, Huang; Li-Quan, Zhang
- Chinese Journal of Plant Ecology, Vol. 31, Issue 1
Effects of the invasive plant Spartina alterniflora on insect diversity in Jiuduansha wetlands in the Yangtze River Estuary
journal, January 2006
- Gao, Hui
- Biodiversity Science, Vol. 14, Issue 5
GLC2000: a new approach to global land cover mapping from Earth observation data
journal, May 2005
- Bartholomé, E.; Belward, A. S.
- International Journal of Remote Sensing, Vol. 26, Issue 9
Works referencing / citing this record:
Tracking the phenology and expansion of Spartina alterniflora coastal wetland by time series MODIS and Landsat images
journal, July 2018
- Wu, Yaqian; Xiao, Xiangming; Chen, Bangqian
- Multimedia Tools and Applications
Introduction and Spread of an Exotic Plant, Spartina alterniflora, Along Coastal Marshes of China
journal, September 2017
- Zhang, Danhua; Hu, Yuanman; Liu, Miao
- Wetlands, Vol. 37, Issue 6
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
journal, November 2018
- Zhang, Meng; Lin, Hui; Wang, Guangxing
- Remote Sensing, Vol. 10, Issue 11
Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China
journal, May 2017
- Liu, Mingyue; Li, Huiying; Li, Lin
- Remote Sensing, Vol. 9, Issue 6