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Changes of Vegetation Distribution in the East Dongting Lake After the Operation of the Three Gorges Dam, China

Overview of attention for article published in Frontiers in Plant Science, May 2018
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Title
Changes of Vegetation Distribution in the East Dongting Lake After the Operation of the Three Gorges Dam, China
Published in
Frontiers in Plant Science, May 2018
DOI 10.3389/fpls.2018.00582
Pubmed ID
Authors

Jia-Yu Hu, Yong-Hong Xie, Yue Tang, Feng Li, Ye-Ai Zou

Abstract

Water regime is regarded as the primary factor influencing the vegetation distribution in natural wetland ecosystems. However, the effect of water regime change induced by large-scale hydraulic engineering on vegetation distribution is still unclear. In this study, multi-temporal TM/ETM+/OLI images and hydrological data from 1995 to 2015 were used to elucidate how the change in water regime influenced the vegetation distribution in the East Dongting Lake (EDTL), especially after the operation of the Three Gorges Dam (TGD) in 2003. Using unsupervised and supervised classification methods, three types of land cover were identified in the study area: Water and Mudflat, Grass, and Reed and Forest. Results showed that the total vegetation area in EDTL increased by approximately 78 km2 during 1995-2015. The areas of Reed and Forest and Grass exhibited a contrasting trend, dramatic increase in Reed and Forest but sharp decrease in Grass, particularly after the operation of TGD. The lowest distribution elevations of Grass and Reed and Forest decreased by 0.61 and 0.52 m, respectively. As a result of water level variation, submergence duration increased at 20-21 m and 28 m elevations (1-13 days), but significantly decreased at 22-27 m and 29-30 m elevations (-3 to -31 days). The submergence duration of Grass and Reed and Forest was 246 and 177 days, respectively. This study indicated that wetland vegetation pattern significantly changed after the operation of TGD, mainly as a result of changes in submergence condition. Submergence duration might be an effective indicator to predict the shift of vegetation distribution in EDTL, and which could provide scientific guidance for vegetation restoration and wetland management in this lake.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Student > Ph. D. Student 3 15%
Researcher 2 10%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 7 35%
Readers by discipline Count As %
Environmental Science 4 20%
Earth and Planetary Sciences 2 10%
Engineering 2 10%
Computer Science 1 5%
Materials Science 1 5%
Other 1 5%
Unknown 9 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2018.
All research outputs
#20,520,426
of 23,088,369 outputs
Outputs from Frontiers in Plant Science
#16,565
of 20,698 outputs
Outputs of similar age
#287,217
of 326,256 outputs
Outputs of similar age from Frontiers in Plant Science
#376
of 428 outputs
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So far Altmetric has tracked 20,698 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 428 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.