The Yellow Sea green tide: A risk of macroalgae invasion

Harmful Algae ◽  
2018 ◽  
Vol 77 ◽  
pp. 11-17 ◽  
Author(s):  
Jin Zhao ◽  
Peng Jiang ◽  
Ri Qiu ◽  
Yingying Ma ◽  
Chunhui Wu ◽  
...  
Keyword(s):  
Yellow Sea ◽  
The Yellow Sea ◽  
Green Tide ◽  
Yellow Sea Green Tide

A New Molecular Label Applied to the Study of the Yellow Sea Green Tide

2019 ◽  
Vol 18 (6) ◽  
pp. 1507-1514
Author(s):  
Weijie Shen ◽  
Yuan He ◽  
Songdong Shen
Keyword(s):  
Yellow Sea ◽  
The Yellow Sea ◽  
Green Tide ◽  
Yellow Sea Green Tide

Remote sensing of the Yellow Sea green tide in 2014 based on GOCI

2017 ◽  
Author(s):  
Zhiqiang Gao ◽  
Debin Song ◽  
Jinquan Ai ◽  
Fuxiang Xu ◽  
Xiangyu Zheng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
Green Tide ◽  
Yellow Sea Green Tide

Error analysis on Green Tide monitoring using MODIS data in the Yellow Sea based on GF-1 WFV data

2016 ◽  
Author(s):  
Fuxiang Xu ◽  
Zhiqiang Gao ◽  
Jicai Ning ◽  
Xiangyu Zheng ◽  
Chaoshun Liu ◽  
...  
Keyword(s):  
Error Analysis ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
Green Tide ◽  
Modis Data

scholarly journals Ulva prolifera green-tide outbreaks and their environmental impact in the Yellow Sea, China

2019 ◽  
Vol 6 (4) ◽  
pp. 825-838 ◽  
Author(s):  
Yongyu Zhang ◽  
Peimin He ◽  
Hongmei Li ◽  
Gang Li ◽  
Jihua Liu ◽  
...  
Keyword(s):  
Yellow Sea ◽  
Red Tide ◽  
Abiotic Factors ◽  
Management Strategies ◽  
Ulva Prolifera ◽  
The Yellow Sea ◽  
Green Tide ◽  
Biological Interactions ◽  
Green Tides ◽  
Carbon Cycles

Abstract The Ulva prolifera green tides in the Yellow Sea, China, which have been occurring since 2007, are a serious environmental problem attracting worldwide attention. Despite extensive research, the outbreak mechanisms have not been fully understood. Comprehensive analysis of anthropogenic and natural biotic and abiotic factors reveals that human activities, regional physicochemical conditions and algal physiological characteristics as well as ocean warming and biological interactions (with microorganism or other macroalgae) are closely related to the occurrence of green tides. Dynamics of these factors and their interactions could explain why green tides suddenly occurred in 2007 and decreased abruptly in 2017. Moreover, the consequence of green tides is serious. The decay of macroalgal biomass could result in hypoxia and acidification, possibly induce red tide and even have a long-lasting impact on coastal carbon cycles and the ecosystem. Accordingly, corresponding countermeasures have been proposed in our study for future reference in ecosystem management strategies and sustainable development policy.

scholarly journals Spatiotemporal Patterns and Morphological Characteristics of Ulva prolifera Distribution in the Yellow Sea, China in 2016–2018

2019 ◽  
Vol 11 (4) ◽  
pp. 445 ◽  
Author(s):  
Yingzhi Cao ◽  
Yichen Wu ◽  
Zhixiang Fang ◽  
Xiaojian Cui ◽  
Jianfeng Liang ◽  
...  
Keyword(s):  
Yellow Sea ◽  
Vegetation Index ◽  
Morphological Changes ◽  
Surface Wind ◽  
Morphological Characteristics ◽  
Ulva Prolifera ◽  
Spatiotemporal Patterns ◽  
The Yellow Sea ◽  
Green Tide ◽  
Sea Surface Wind

The world’s largest macroalgal blooms, Ulva prolifera, have appeared in the Yellow Sea every summer on different scales since 2007, causing great harm to the regional marine economy. In this study, the Normalized Difference of Vegetation Index (NDVI) index was used to extract the green tide of Ulva prolifera from MODIS images in the Yellow Sea in 2016–2018, to investigate its spatiotemporal patterns and to calculate its occurrence probability. Using the standard deviational ellipse (SDE), the morphological characteristics of the green tide, including directionality and regularity, were analyzed. The results showed that the largest distribution and coverage areas occurred in 2016, with 57,384 km2 and 2906 km2, respectively and that the total affected region during three years was 163,162 km2. The green tide drifted northward and died out near Qingdao, Shandong Province, which was found to be a high-risk region. The coast of Jiangsu Province was believed to be the source of Ulva prolifera, but it was probably not the only one. The regularity of the boundary shape of the distribution showed a change that was opposite to the variation of scale. Several sharp increases were found in the parameters of the SDE in all three years. In conclusion, the overall situation of Ulva prolifera was still severe in recent years, and the sea area near Qingdao became the worst hit area of the green tide event. It was also shown that the sea surface wind played an important part in its migration and morphological changes.

scholarly journals Remote sensing of early-stage green tide in the Yellow Sea for floating-macroalgae collecting campaign

2018 ◽  
Vol 133 ◽  
pp. 150-156 ◽  
Author(s):  
Qianguo Xing ◽  
Lingling Wu ◽  
Liqiao Tian ◽  
Tingwei Cui ◽  
Lin Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Yellow Sea ◽  
Early Stage ◽  
The Yellow Sea ◽  
Green Tide

scholarly journals Validation of MODIS-based monitoring for a green tide in the Yellow Sea with the aid of unmanned aerial vehicle

2017 ◽  
Vol 11 (1) ◽  
pp. 012007 ◽  
Author(s):  
Fuxiang Xu ◽  
Zhiqiang Gao ◽  
Weitao Shang ◽  
Xiaopeng Jiang ◽  
Xiangyu Zheng ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
Green Tide ◽  
Aerial Vehicle
Sign in / Sign up

Export Citation Format

Share Document