

FOLLOWUS
1. State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration
2. Laboratory of Marine Ecosystem Biogeochemistry Second Institute of Oceanography State Oceanic Administration
网络首发:2013-07-10,
纸质出版:2013
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Spatio-temporal distribution of net-collected phytoplankton community and its response to marine exploitation in Xiangshan Bay[J]. 海洋湖沼学报(英文), 2013,31(4):762-773.
Jiang, Z., Zhu, X., Gao, Y. et al. Spatio-temporal distribution of net-collected phytoplankton community and its response to marine exploitation in Xiangshan Bay., Chin. J. Ocean. Limnol. 31, 762–773 (2013). https://doi.org/10.1007/s00343-013-2206-z
Spatio-temporal distribution of net-collected phytoplankton community and its response to marine exploitation in Xiangshan Bay[J]. 海洋湖沼学报(英文), 2013,31(4):762-773. DOI: 10.1007/s00343-013-2206-z.
Jiang, Z., Zhu, X., Gao, Y. et al. Spatio-temporal distribution of net-collected phytoplankton community and its response to marine exploitation in Xiangshan Bay., Chin. J. Ocean. Limnol. 31, 762–773 (2013). https://doi.org/10.1007/s00343-013-2206-z DOI:
To explore the spatial-temporal distribution of the phytoplankton community and evaluate the combined effects of marine resource exploitation
net-collected phytoplankton and physical-chemical parameters were investigated in the Xiangshan Bay during the four seasons of 2010. A total of eight phyla
97 genera
and 310 species were found
including 232 diatom species
45 dinoflagellate species and 33 other taxa. The phytoplankton abundances presented a significant (P<0.001) seasonal difference with the average of 60.66×104 cells/m3. Diatoms (mainly consisting of Coscinodiscus jonesianus
Cerataulina pelagica
Skeleto n ema costatum
and genus Chaetoceros) dominated the phytoplankton assemblage in all seasons. We found great spatio-temporal variation in community composition based on the multidimensional scaling and similarity analysis. Canonical correspondence analysis show that temperature
nutrition
illumination
and salinity were the main variables associated with microalgal assemblage. Compared with the previous studies
an increase in phytoplankton abundance and change in the dominant species coincided with increased exploitation activities in this bay (e.g. operation of coastal power plants
intensive mariculture
tidal flat reclamation
and industrial and agricultural development). The present findings suggest that the government should exercise caution when deciding upon developmental patterns in the sea-related economy.
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