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1.
Ying Yong Sheng Tai Xue Bao ; 34(4): 1146-1152, 2023 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-37078336

RESUMEN

In recent years, starfish outbreaks occurred frequently in northern China, causing serious economic losses to marine aquaculture. The most common outbreak starfish species are Asterias amurensis and Asterina pectini-fera. We systematically reviewed the related studies by introducing the biological characteristics, current outbreaking status, and main impact of A. amurensis and A. pectinifera, and by discussing the causes, formation process, and migration pattern of starfish outbreaks in northern China. The early life history stage drives starfish outbreak. The increases of larval survival rate is the key leading to population outbreak. Population connectivity is the vital clue to reveal the source and dispersal of starfish populations. On this basis, we proposed several scientific and technical issues that should be addressed urgently, including the determination of the outbreak threshold, the traceability of starfish population, and the methods of monitoring, early warning and control. It would provide insight into the research on the mechanism of starfish outbreaks and the theoretical support for formulating prevention and treatment strategies for starfish outbreaks in northern China.


Asunto(s)
Brotes de Enfermedades , Estrellas de Mar , Animales , Brotes de Enfermedades/prevención & control , Brotes de Enfermedades/veterinaria , Larva , China/epidemiología
2.
Mar Pollut Bull ; 171: 112662, 2021 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-34242955

RESUMEN

On July 16, 2010, a pipeline explosion spilled 1500 tons of crude oil into the Port of Dalian, China. To identify taxa responses to the spill, we exploited seven years of monitoring data to examine the co-occurrence of taxon pairs and the variation of the macrobenthic community. Non-parametric correlation analysis was used to construct interaction networks of relationships between oil spill contaminants and macrobenthic taxa. We observed that the impacted macrobenthic community not restored before 2016. The tolerance/sensitivity of taxa was inconsistent with the studies of oil impacts in other locations. We suggest revision of the ecological group classification of Sabellidae, Lumbrineridae, Terebellidae, Sternaspidae, and Spionidae. The variation in the frequency of coexistence indicates the potential impact of oil spill pollution on resource occupation. The interaction network involving macrobenthic families and stressors associated with the oil spill highlights how different macrobenthic families respond to different combinations of stressors.


Asunto(s)
Contaminación por Petróleo , Petróleo , Poliquetos , Animales , Bahías , Sedimentos Geológicos , Humanos , Contaminación por Petróleo/análisis
3.
Mar Pollut Bull ; 168: 112424, 2021 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-33975157

RESUMEN

It has been 14 years since the world's largest Ulva bloom appeared in the Yellow Sea, China in 2007. Although it is clear that the Ulva bloom originates from the culture system of Porphyra yezoensis (Nori) in the southern Yellow Sea, how to control it is still little understood. Since overwintering banks played a crucial role in the development of spring population of green algae on the cultivation ropes, here, a promising method was presented to prevent the development of Ulva bloom by the inactivation of the overwintering banks of green algae on the P. yezoensis cultivation ropes during February and early March. Chlorine dioxide, an environment-friendly disinfectant was used as algaecide with dosage of no lower than 40 mg/L at the contact time of 1 min. The overwintering green algae gradually disappeared within two weeks after the treatment. Furthermore, the growth of spring population of green algae on the cultivation ropes was effectively inhibited for at least eight weeks, which contribute to prevent the formation of floating populations during cultivation facilities collection. It was expected that the present method, if to be applied in the P. yezoensis cultivation areas in southern Yellow Sea, may mitigate the magnitude of the Ulva blooms in the Yellow Sea at a lower cost.


Asunto(s)
Chlorophyta , Porphyra , Ulva , China , Eutrofización
4.
Mar Pollut Bull ; 129(1): 126-134, 2018 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-29680529

RESUMEN

The Bohai Sea is characterized as a semi-closed sea with limited water exchange ability, which has been regarded as one of the most contaminated regions in China and has attracted public attention over the past decades. In recent years, the rapid industrialization and urbanization around the coastal region has resulted in a severe pollution pressure in the Bohai Sea. Although efforts from official government and scientific experts have been made to protect and restore the marine ecosystem, satisfactory achievements were not gained. Moreover, partial coastal areas in the Bohai Sea seemingly remain heavily polluted. In this study, we focused on five coastal regions around the Bohai Sea to study the spatial distribution pattern of trace elements in the sediments and their ecological risk. A total of 108 sediment samples were analyzed to determine the contamination degree of trace elements (Cu, Cd, As, Pb, Zn, Cr, and Hg). Contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo), and potential ecological risk index (PERI) were utilized to assess the pollution extent of these metals. Spatial distribution patterns revealed that the sedimentary environments of coastal Bohai were in good condition, except Jinzhou Bay, according to the Marine Sediment Quality of China. The concentrations of Hg and Cd were considerably higher than the average upper crust value and presented high potential ecological risk and considerable potential ecological risk, respectively. The overall environment quality of the coastal Bohai Sea does not seem to pose an extremely serious threat in terms of metal pollution. Thus, the government should continue implementing pollution control programs in the Bohai Sea.


Asunto(s)
Monitoreo del Ambiente/métodos , Sedimentos Geológicos/química , Metales Pesados/análisis , Agua de Mar/química , Oligoelementos/análisis , Contaminantes Químicos del Agua/análisis , China , Ecosistema , Medición de Riesgo , Análisis Espacio-Temporal
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