

FOLLOWUS
1.Key Laboratory for Information System of Mountainous Area and Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China
2.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550002, China
3.School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China
4.School of Public Health, Guizhou Medical University, Guiyang 550002, China
LI Qiuhua, qiuhua2002@126.com
CHEN Jing'an, chenjingan@vip.skleg.cn
Received:24 February 2017,
Accepted:28 April 2017,
Online First:16 May 2017,
Published:2018-05
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Lei LI, Qiuhua LI, Jing'an CHEN, et al. Temporal and spatial distribution of phytoplankton functional groups and role of environment factors in a deep subtropical reservoir[J]. Chinese Journal of Oceanology and Limnology, 2018, 36(3): 761-771.
Lei LI, Qiuhua LI, Jing'an CHEN, et al. Temporal and spatial distribution of phytoplankton functional groups and role of environment factors in a deep subtropical reservoir[J]. Chinese Journal of Oceanology and Limnology, 2018, 36(3): 761-771. DOI: 10.1007/s00343-018-7051-7.
Phytoplankton and environment factors were investigated in 2015 and phytoplankton functional groups were used to understand their temporal and spatial distribution and their driving factors in Wanfeng Reservoir. Seventeen functional groups (B
D
E
F
G
J
Lo
MP
P
S1
T
W1
W2
X1
X2
Xph
Y) were identified based on 34 species. The dominant groups were:J/B/P/D in dry season
X1/J/Xph/G/T in normal season and J in flood season. Phytoplankton abundance ranged from 5.33×10
4
cells/L to 3.65×10
7
cells/L
with the highest value occurring in flood season and lowest in dry season. The vertical profile of dominant groups showed little differentiation except for P
which dominated surface layers over 20 m as a result of mixing water masses and higher transparency during dry season. However
the surface waters presented higher values of phytoplankton abundance than other layers
possibly because of greater irradiance. The significant explaining variables and their ability to describe the spatial distribution of the phytoplankton community in RDA differed seasonally as follows:dry season
NH
4
-N
NO
3
-N
NO
2
-N
TN:TP ratio and transparency (SD); normal season
temperature (WT)
water depth
TN
NH
4
-N and NO
3
-N; flood season
WT
water depth
NO
3
-N and NO
2
-N. Furthermore
nitrogen
water temperature
SD and water depth were significant variables explaining the variance of phytoplankton communities when datasets included all samples. The results indicated that water physical conditions and hydrology were important in phytoplankton community dynamics
and nitrogen was more important than phosphorus in modifying phytoplankton communities. Seasonal differences in the relationship between the environment and phytoplankton community should be considered in water quality management.
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