Title: 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 » 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.« less

Authors:

Lin, Wenpeng ^[1]; Chen, Guangsheng ^[2]; Guo, Pupu ^[1]; Zhu, Wenquan ^[3]; Zhang, Donghai ^[3]

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+ Show Author Affiliations

1. Shanghai Normal Univ. (China). College of Tourism
2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
3. Beijing Normal Univ. (China). College of Resource

Publication Date:

Tue Aug 11 00:00:00 EDT 2015

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