The biomass yields and management challenges for the Yellow sea large marine ecosystem

2016 ◽  
Vol 17 ◽  
pp. 175-181 ◽  
Author(s):  
Qisheng Tang ◽  
Yiping Ying ◽  
Qiang Wu
Keyword(s):  
Yellow Sea ◽  
Marine Ecosystem ◽  
The Yellow Sea ◽  
Biomass Yields ◽  
Large Marine Ecosystem

scholarly journals The Use of Remote Sensing Analysis for Evaluating the Impact of Development Projects in the Yellow Sea Large Marine Ecosystem

2020 ◽  
Vol 12 (9) ◽  
pp. 3628
Author(s):  
Gabriel Sidman ◽  
Sydney Fuhrig ◽  
Geeta Batra
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Yellow Sea ◽  
Marine Pollution ◽  
Marine Ecosystem ◽  
Environmental Indicators ◽  
The Yellow Sea ◽  
Series Data ◽  
Large Marine Ecosystem ◽  
The Impact

Remote sensing has long been valued as a data source for monitoring environmental indicators and detecting trends in ecosystem stress from anthropogenic causes such as deforestation, river dams and air and water pollution. More recently, remote sensing analyses have been applied to evaluate the impacts of environmental projects and programs on reducing environmental stresses. Such evaluation has focused primarily on the change in above-surface vegetation such as forests. This study uses remote sensing ocean color products to evaluate the impact on reducing marine pollution of the Global Environment Facility’s (GEF) portfolio of projects in the Yellow Sea Large Marine Ecosystem. Chlorophyll concentration was derived from satellite images over a time series from the 1990s, when GEF projects began, until the present. Results show a 50% increase in chlorophyll until 2011 followed by a 34% decrease until 2019, showing a potential delayed effect of pollution control efforts. The rich time series data is a major advantage to using geospatial analysis for evaluating the impacts of environmental interventions on marine pollution. However, one drawback to the method is that it provides insights into correlations but cannot attribute the results to any particular cause, such as GEF interventions.

Trends in productivity and biomass yields in the Mediterranean Sea Large Marine Ecosystem during climate change

2016 ◽  
Vol 17 ◽  
pp. 57-74 ◽  
Author(s):  
Konstantinos I. Stergiou ◽  
Stylianos Somarakis ◽  
George Triantafyllou ◽  
Kostas P. Tsiaras ◽  
Marianna Giannoulaki ◽  
...  
Keyword(s):  
Climate Change ◽  
Mediterranean Sea ◽  
Marine Ecosystem ◽  
Biomass Yields ◽  
Large Marine Ecosystem ◽  
The Mediterranean

scholarly journals Trophic flows, kelp culture and fisheries in the marine ecosystem of an artificial reef zone in the Yellow Sea

2016 ◽  
Vol 182 ◽  
pp. 86-97 ◽  
Author(s):  
Zhongxin Wu ◽  
Xiumei Zhang ◽  
Hector M. Lozano-Montes ◽  
Neil R. Loneragan
Keyword(s):  
Yellow Sea ◽  
Marine Ecosystem ◽  
Artificial Reef ◽  
The Yellow Sea ◽  
Reef Zone

scholarly journals Spatial Distribution of Sound Scattering Layer and Density Estimation of Euphausia pacifica in the Center of the Yellow Sea Bottom Cold Water Determined by Hydroacoustic Surveying

2022 ◽  
Vol 10 (1) ◽  
pp. 56
Author(s):  
Hansoo Kim ◽  
Garam Kim ◽  
Mira Kim ◽  
Donhyug Kang
Keyword(s):  
Spatial Distribution ◽  
Water Temperature ◽  
Yellow Sea ◽  
Cold Water ◽  
Marine Ecosystem ◽  
The Yellow Sea ◽  
Scattering Layer ◽  
Sea Bottom ◽  
Sound Scattering Layer ◽  
Bottom Cold Water

The Yellow Sea Bottom Cold Water (YSBCW) refers to seawater with a water temperature of 10 °C or less found at the bottom of the center of the Yellow Sea. The spatiotemporal variability of the YSBCW directly affects the distribution of organisms in the marine ecosystem. In this study, hydroacoustic and net surveys were conducted in April (spring) to understand the spatial distribution of the sound scattering layer (SSL) and estimate the density of Euphausia pacifica (E. pacifica) in the YSBCW. Despite the shallow water in the YSBCW region, E. pacifica formed an SSL, which was distributed near the bottom during the daytime; it showed a diel vertical migration (DVM) pattern of movement toward the surface during the nighttime. The mean upward and downward swimming speeds around sunset and sunrise were approximately 0.6 and 0.3–0.4 m/min, respectively. The E. pacifica density was estimated in the central, western, and eastern regions; the results were approximately 15.8, 1.3, and 10.3 g/m2, respectively, indicating significant differences according to region. The results revealed high-density distributions in the central and eastern regions related to the water temperature structure, which differs regionally in the YSBCW area. Additional studies are needed regarding the spatial distribution of E. pacifica in the YSBCW and its relationship with various ocean environmental parameters according to season. The results of this study contribute to a greater understanding of the structure of the marine ecosystem in the YSBCW.

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