Functional groups of marine ciliated protozoa and their relationships

Environ Sci Pollut Res
DOI 10.1007/s11356-013-1525-0
RESEARCH ARTICLE
Functional groups of marine ciliated protozoa
and their relationships to water quality
Yong Jiang & Henglong Xu & Xiaozhong Hu &
Alan Warren & Weibo Song
Received: 28 November 2012 / Accepted: 25 January 2013
# Springer-Verlag Berlin Heidelberg 2013
Abstract Ciliated protozoa (ciliates) play important ecological roles in coastal waters, especially regarding their interaction with environmental parameters. In order to increase our
knowledge and understanding on the functional structure of
ciliate communities and their relationships to environmental
conditions in marine ecosystems, a 12-month study was carried out in a semi-enclosed bay in northern China. Samples
were collected biweekly at five sampling stations with differing levels of pollution/eutrophication, giving a total of 120
samples. Thirteen functional groups of ciliates (A–M) were
defined based on their specific spatio-temporal distribution
and relationships to physico-chemical parameters. Six of these
groups (H–M) were the primary contributors to the ciliate
communities in the polluted/eutrophic areas, whereas the other seven groups (A–G) dominated the communities in less
polluted areas. Six groups (A, D, G, H, I and K) dominated
during the warm seasons (summer and autumn), with the other
seven (B, C, E, F, J, L and M) dominating in the cold seasons
(spring and winter). Of these, groups B (mainly aloricate
ciliates), I (aloricate ciliates) and L (mainly loricate tintinnids)
were the primary contributors to the communities. It was also
shown that aloricate ciliates and tintinnids represented different
roles in structuring and functioning of the communities. The
results suggest that the ciliate communities may be constructed
Responsible editor: Philippe Garrigues
Co-first author (Y. Jiang & H. Xu)
Y. Jiang : H. Xu : X. Hu : W. Song (*)
Laboratory of Protozoology, Institute of Evolution and Marine
Biodiversity, Ocean University of China, Qingdao 266003, China
e-mail: [email protected]
A. Warren
Department of Zoology, The Natural History Museum,
Cromwell Road,
London SW7 5BD, UK
by several functional groups in response to the environmental
conditions. Thus, we conclude that these functional groups
might be potentially useful bioindicators for bioassessment
and conservation in marine habitats.
Keywords Ciliated protozoa . Environmental conditions .
Functional groups . Marine bioassessment . Spatio-temporal
distribution
Introduction
In aquatic environments, ciliated protozoa (ciliate) assemblages are an important component of the microplankton fauna
and are considered primary mediators of energy transfer from
pico- and nanoplankton production to higher trophic levels in
the functioning microbial loop (Dolan and Coats 1990;
Stoecker and McDowell-Cappuzzo 1990; Sime-Ngando et
al. 1995; Jiang et al. 2013). It is becoming increasingly recognised that there are several advantages in using ciliates for
the assessment of water quality. With their short life cycles and
delicate external membranes, they may react more rapidly to
environmental changes than many other eukaryotic organisms. Furthermore, many forms can inhabit environments that
are unfavourable to metazoans (Cairns et al. 1972; Franco et
al. 1998; Corliss 2002; Madoni and Braghiroli 2007; Jiang et
al. 2007). While most previous studies have focused on freshwater habitats, recent studies suggest that ciliates may also be
useful indicators of marine water quality (Kchaou et al. 2009;
Jiang et al. 2011a, b, 2012a, b; Xu et al. 2011a, b, c, d, e,
2012a, b, c, 2013; Zhang et al. 2012a, b, 2013).
Functional groups are defined as assemblages of species
with similar responses to a given environmental conditions or
a fixed habitat (Lavorel et al. 1998; Reynolds et al. 2002;
Mieleitner and Reichert 2008). For example, functional groups
of phytoplankton fauna have been established based on the
Environ Sci Pollut Res
Fig. 1 Sampling stations of
ciliated protozoa located in
Jiaozhou Bay, northern China.
A, station A near Huangdao;
B, station B near the mouths of
Yang and Dagu rivers; C,
station C near mariculture area;
D, station D near the mouths of
Haipo and Licun rivers; E,
station E at the mouth linking
Jiaozhou Bay with the Yellow
Sea
specific spatio-temporal ecological features with environmental
sensitivities and tolerances (Reynolds 1999; Padisák et al.
2009). The investigations using this system have provided
important information for understanding the dynamics of pelagic freshwater algal communities, especially for assessing the
water quality (Huszar et al. 2003; Padisák et al. 2006; Crossetti
and Bicudo 2008; Becker et al. 2009, 2010). However, there
have been few studies using functional groups of zooplankton
in marine environments (Sun et al. 2010).
In the present study, the functional structures of ciliate
communities were studied based on a 12-month dataset collected from Jiaozhou Bay, northern China (June 2007–May
2008). The main purpose is to identify functional groups of
ciliates, thereby addressing the following questions: (1) how
Fig. 2 Species distribution pattern of 62 planktonic ciliate protozoa in
1-yearcycle at five stations, including nine assemblages (a) and seven
sub-assemblages from assemblage I (b), plotted using group average
clustering on Bray–Curtis similarities from log-transformed species
abundance data. I–IX, assemblage I–IX; I1–I7, sub-assemblage I1–I7
Environ Sci Pollut Res
many functional groups of ciliates are there, (2) what are the
spatio-temporal distribution features that determine these
groups and (3) are these groups associated with specific
environmental conditions?
This study was conducted during June 2007 to May 2008 in
Jiaozhou Bay. Five sampling stations with differing levels of
pollution/eutrophication were selected (Fig. 1) (Jiang et al.
2011a, b). The sampling and fixation strategy, enumeration
and identification of ciliates and measurement of environmental
parameters followed that described by Jiang et al. (2012a, b).
Material and methods
Data analyses
Study area and data collection
Jiaozhou Bay is a semi-enclosed basin of the Yellow Sea,
northern China, with an area of 390 km2 and an average
depth of about 7 m. It is surrounded by the city of Qingdao
and connected the Yellow Sea via a narrow opening about
2.5 km wide.
Multivariate analyses were carried out using the PRIMER
v6.1 statistical package (Clarke and Gorley 2006). The
groups of ciliate communities were assigned by the routine
CLUSTER on Bray–Curtis similarities from fourth roottransformed species abundance data, while the differences
between groups were tested by the submodule ANOSIM
Fig. 3 Spatio-temporal variations in abundances (ind. per litre) of the nine assemblages (I–IX) in 1-yearcycle at five stations
Environ Sci Pollut Res
(Clarke and Gorley 2006). The spatial and temporal changes
of environmental status during the sampling period of the
five stations were both summarised using principal component analysis based on log–transformed/normalised abiotic
data (Clarke and Gorley 2006).
Results
Spatio-temporal species distribution
A total of 62 planktonic ciliate species were recorded, comprising 23 loricate forms (tintinnids) and 39 aloricate forms
(mainly oligotrichids). Dendogram of the species distribution
was plotted using group average clustering on Bray–Curtis
similarities from fourth root-transformed species abundance
data from the five sampling stations (Fig. 2). The clustering
analysis resulted in the 62 species falling into nine groups
(I–IX) at a 20 % similarity level. Group I was composed of 22
common/dominant species, mostly aloricate, with high occurrence/abundance and represented the primary contributors to
the ciliate communities (Fig. 2a, b). This group could be
further divided into seven subgroups (I1–I7) at a 45 % similarity level (Fig. 2b). Groups II–V, VII and VIII represented
assemblages of opportunistic loricate forms, mostly tintinnids, with low occurrence or abundance. Groups VI and
IX comprised rare species only (Fig. 2a). The analysis of
similarities revealed significant differences among the nine
groups (R=0.896, P=0.001) and the seven subgroups of
group I (R=0.835, P=0.001).
Fig. 4 Spatio-temporal variations in abundances (ind. per litre) of the seven sub-assemblages (I1–I7) from assemblage I in 1-yearcycle at five
stations
Environ Sci Pollut Res
Identification and succession dynamics of functional groups
The spatio-temporal variations of the nine ciliate groups and
the seven subgroups of group I are summarised in Figs. 3
and 4. It should be noted that those groups/subgroups occurred in specific spatio-temporal distribution patterns. For
instance, in July and August, group III mainly dominated
the communities at stations C and D (Fig. 3c), while subgroup I5 was dominant at station E (Fig. 4e). By contrast,
group I was represented throughout the 12-month period at
all stations but with only one major peak, i.e. at station E in
August, due to the contribution of subgroup I5.
A total of 13 functional groups (A–M) were recovered
based on the clustering analyses (Table 1); e.g. group B,
comprising group V and subgroup I5, mainly occurred at
station E in autumn (Figs. 3e and 4e, Table 1). Group I, mainly
comprising members of subgroup I4, occurred at station D in
spring and autumn (Fig. 4d, Table 1), and group L which
mainly comprised members of assemblage III, at stations C
and D in autumn (Fig. 3c, Table 1). Six groups (A, D, G, H, I
and K) comprised species that mainly occurred in summer and
autumn, whereas the other seven (B, C, E, F, J, L and M)
comprised species that mostly distributed in spring and winter.
Of these, groups B (mainly aloricate species, e.g. Mesodinium
pupula and Pseudotontonia cornuta), I (aloricate species, e.g.
Strombidium globosaneum, Strombidium capitatum and
Rimostrombidium veniliae) and L (mainly loricate tintinnids,
e.g. Tintinnopsis tocantinensis, Tintinnopsis orientalis and
Leprotintinnus bottnicus) were the primary contributors to
the communities. Otherwise, the aloricate ciliates and tintinnids represented different roles in structuring and functioning
of the ciliate communities.
The temporal variations in abundance of the 13 functional groups are shown in Fig. 5. In general, each functional
Table 1 Classification, composition, taxonomic characters,
seasonal 1 occurrence and
location of functional groups
of ciliated protozoa collected at
five stations in Jiaozhou Bay
during the study period
group peaked in specific time periods during the 12-month
cycle. However, it should be noted that some groups (e.g. C,
D, I and M) peaked during more than one season, whereas
the others (e.g. B, E, F and L) were confined to one season
only (Fig. 5).
Groups A–M showed a clear temporal variation in terms of
relative species number during the period of study, i.e. group I
(mainly aloricate species) was the primary contributor to the
communities, whereas groups B (mainly aloricate species and
some tintinnids) and L (mainly loricate tintinnids) only occurred during late summer and autumn (Fig. 6a). The variations in relative abundance showed similar temporal patterns,
i.e. group I was primarily responsible for the communities,
whereas groups B and L dominated the communities in late
summer and autumn in combination with group I (Fig. 6b).
Relationships between functional groups and environmental
variables
The results of the principal component analysis, with vectors
for spatio-temporal variations of both physical–chemical variables and functional groups of ciliates, are shown in Fig. 7. In
terms of temporal ordination, the analysis using nine abiotic
variables explained 67.5 % of the total temporal environmental
variability on the first two principal components (PC1 =53 %;
PC2 =14.5 %) and basically grouped the 12 months into the
four season (Fig. 7a). In the spatial ordination, the two principal
components accounted for 74.7 % of the total spatial environmental variability (PC1 =45.7 %; PC2 =29.0 %). The first axis
represented nutrients (e.g. NO3–N and NH3–N), thus separating the two less polluted stations (A and E) from the three more
polluted stations (B, C and D). The second axis, which represented salinity, Chl a, pH and SRP, separated station E from
station A, and station D from stations B and C (Fig. 7b).
Functional group
Composition
Taxonomic character
Season
Station
A
C
I7
VI
I5
V
I2
Non-loricate
Non-loricate
Non-loricate
Tintinnids
Non-loricate
Spring
Spring
Autumn
Autumn
Summer, winter
E
E
E
E
E
D
E
F
G
H
I
J
K
L
M
II
IV
I6
VIII
I3
I4
VII
IX
III
I1
Tintinnids
Tintinnids
Non-loricate
Tintinnids
Non-loricate
Non-loricate
Tintinnids
Non-loricate
Tintinnids
Non-loricate
Spring, winter
Summer
Summer
Autumn, winter
Spring
Spring, autumn
Autumn
Winter, spring
Autumn
Summer, autumn
A, E
A, E
A
A
D
D
D
C, D
C, D
B
B
species
species
species
species
species
species
species
species
species
Environ Sci Pollut Res
Fig. 6 Annual variations in relative species number (a) and relative
abundance (b) of the functional groups of ciliates (I–M) in Jiaozhou
Bay, northern China, during the study period
Fig. 5 Annual succession of the 13 ciliate functional groups (I–M) as a
function of abundance (ind. per litre) during the study period
Seven functional groups (A–G) dominated the ciliate
communities in the less polluted areas, whereas the other
six functional groups (H–M) were the primary contributors
to the communities in the more polluted/eutrophic areas.
Otherwise, six functional groups (A, D, G, H, I and K)
comprised species that occurred mainly in the cold seasons
(spring and winter), whereas the other seven (B, C, E, F, J, L
and M) comprised species that occurred mainly in the warm
seasons (summer and autumn).
Discussion
A number of studies have demonstrated that the ecological
patterns of ciliates are significantly related to environmental
conditions in a range of aquatic environments (Beaver and
Crisman 1982, 1989; Finlay and Esteban 1998; Jiang et al.
2007; Madoni and Braghiroli 2007; Kchaou et al. 2009; Jiang
et al. 2011a, b, 2012a, b; Xu et al. 2011a, b, c, d, e, 2012a, b, c,
2013; Zhang et al. 2012a, b, 2013). Although the importance
of functional groups of ciliates from marine ecosystems has not
been well recognised, especially with respect to the potential
capability in the assessment of water quality, our previous
investigations have revealed that spatio-temporal patterns of
ciliate communities are significantly correlated with environmental conditions and that some dominant species are significantly correlated with concentrations of nutrients (Jiang et al.
2011a, b, 2012a, b; Xu et al. 2011a, c). Thus, we hypothesise
that some ciliate assemblages, as functional groups with specific functional role in communities, could respond predictably
to different environmental conditions.
Defining functional groups of organisms for the purpose of
assessing environmental conditions or monitoring environmental change is often problematic. Reynolds (1980), for
example, defined 14 different groups of planktonic freshwater
algae in his scheme for assessing water quality. Subsequently,
some of these groups were sub-divided, and others were
added, doubling the total number of groups (Reynolds et al.
2002). The application of multivariate techniques has helped
to identify and validate such functional groups (Fabbro and
Duivenvoorden 2000; Kruk et al. 2002; Reynolds et al. 2002).
Environ Sci Pollut Res
Fig. 7 Principal component analysis plots based on log-transformed abiotic data of 12 months (a) and five stations (b)
In the present study, based on the specific spatio-temporal
patterns and the relationships to the environmental conditions,
a total of 13 functional groups of ciliates were identified using
a range of multivariate analyses. These functional groups displayed clear temporal successions with different groups dominating during different seasons (e.g. groups A, D, H and I for
vernal blooms, the B and L for associations at the start of
autumn). Furthermore, the functional groups also displayed
spatial preferences with different groups associated with different sampling stations according to the prevailing environmental conditions. Thus, the 13 groups could be ranked A to M
according to their occurrence at each sampling station in the
order from cleanest environmental conditions (stations E and
A) to more and more polluted ones (from station D to C and B).
The spatio-temporal characters and habitats of functional
Table 2 Habitat and tolerances/
sensitivities of functional groups
of 1 ciliated protozoa collected
at five stations in Jiaozhou Bay
during the study period
groups were summarised in Table 2, in order to provide a
potential useful reference to carry out functional group study
for characterising and understanding the spatio-temporal pattern of ciliate fauna in marine ecosystems. As indicated, in
single or coexist, the groups dominate the communities belonging to specific waters with fixed environmental conditions.
It was also shown that each group was possessed of its own
attribute, for instance, group B, which tended to dominate
under conditions of high water temperature and low salinity,
whereas group L was more tolerant of high organic pollutants,
especially such as those that occur in highly eutrophic mariculture waters. Like ciliates, the functional groups of phytoplankton may also be used as indicators of water quality,
although studies to date have tended to focus on freshwater,
as opposed to marine habitats (Reynolds et al. 2002).
Functional group
Habitat
Tolerances/sensitivities
A
B
C
D
E
F
G
H
I
J
K
L
M
Clean, cold water
Clean, warm water
Clean water
Clean, cold water
Clean, warm water
Slightly stressed, warm water
Slightly stressed, cold water
Moderately stressed, cold water
Moderately stressed, cold water
Moderately stressed, warm water
Moderately polluted, cold water
Heavily eutrophic, warm water
Severely polluted, warm water
Low temperature
High temperature, low salinity
High pH
Low temperature
High temperature
High temperature, slight pollutants
Low temperature, slight pollutants
Domestic and metal pollutants
Domestic and metal pollutants
Domestic and metal pollutants
Domestic and metal pollutants
Organic pollutants by mariculture eutrophication
Organic pollutants, nutrients and heavy metals
Environ Sci Pollut Res
It is noteworthy that the ciliates forming a single functional group often have different functions in the structuring
of communities or in response to environmental conditions.
For example, functional groups B and I, which comprised
mainly aloricate oligotrichids, were the primary component
in structuring the communities throughout almost the entire
period of study. By contrast, loricate (mainly tintinnid)
ciliate groups (e.g. group L) play a supporting role in functioning communities and sensitive to eutrophication and
pollution with high abundance, but only in summer and
autumn. Furthermore, in our previous studies, we confirmed
that non-loricate oligotrich ciliates are good surrogates for
planktonic ciliate communities in detecting their ecological
patterns at species level (Xu et al. 2011b; Jiang et al. 2012b).
The findings presented here are consistent with these.
Therefore, the non-loricate groups are potentially useful
bioindicators for marine bioassessment in large temporal
and spatial scales. In addition, in the case studies in specific
time periods and fixed environmental conditions, especially
in polluted and warm water areas, the functional groups with
loricate tintinnids could be a potential indicator.
Because their global distribution, ease of identification
and rapid response to environment change, the advantage of
using marine ciliated functional groups in bioassessment of
environmental quality is indubitability, and the application
potentiality and prediction feasibility of ciliate functional
groups to environmental conditions have been approved
by the present study. Further investigations on a range of
marine habitats and over extended time periods are needed
in order to verify this conclusion.
Conclusion
1. A total of 13 functional groups in marine ciliated protozoa were defined based on the specific characters in
terms of both spatio-temporal distribution and relationships to environmental conditions.
2. We provided basically and potentially functional information of functional groups to characterise and understand the
dynamics and distributions of marine ciliated protozoa.
3. Non-loricate ciliates and tintinnids represented different
roles in structuring and functioning of the communities.
4. The ciliated functional groups might be used as a potential bioindicator in assessment of water quality in
marine ecosystems.
Acknowledgments This work was supported by the “Natural
Science Foundation of China” (project nos. 41076089 and 41276139)
and the Darwin Initiative Programme (project no. 14–015) which is
funded by UK Department for Environment, Food and Rural Affairs.
We thank Mr. Jinpeng Yang, Mr. Wei Zhang, Dr. Xinpeng Fan, Dr. Jiamei
Jiang and Ms. Xumiao Chen, Laboratory of Protozoology, OUC, China,
for their help with sampling and sample processing.
References
Beaver JR, Crisman TL (1982) The trophic response of ciliated protozoans in freshwater lakes. Limnol Oceanogr 27:246–253
Beaver JR, Crisman TL (1989) Analysis of the community structure of
planktonic ciliated protozoa relative to trophic state in Florida
lakes. Hydrobiologia 174:177–184
Becker V, Huszar VLM, Crossetti LO (2009) Responses of phytoplankton functional groups to the mixing regime in a deep subtropical reservoir. Hydrobiologia 628:137–151
Becker V, Caputo L, Ordóñez J, Marcé R, Armengol J, Crossetti LO,
Huszar VLM (2010) Driving factors of the phytoplankton functional
groups in a deep Mediterranean reservoir. Water Res 44:3345–3354
Cairns J Jr, Lanza GR, Parker BC (1972) Pollution related to structural
and functional changes in aquatic communities with emphasis on
freshwater algae and protozoa. Proc Acad Nat Sc, Phila 124:79–127
Clarke KR, Gorley RN (2006) PRIMER 6 user manual/tutorial.
PRIMER-E Ltd, Plymouth
Corliss JO (2002) Biodiversity and biocomplexity of the protists and
an overview of their significant roles in maintenance of our
biosphere. Acta Protozool 41:199–219
Crossetti LO, Bicudo CEM (2008) Phytoplankton as a monitoring tool
in a tropical urban shallow reservoir (Garças Pond): the assemblage index application. Hydrobiologia 610:161–173
Dolan JR, Coats DW (1990) Seasonal abundances of planktonic ciliates and microflagellates in mesohaline Chesapeake Bay waters.
Estuar Coast Shelf Sci 31:157–175
Fabbro LD, Duivenvoorden LJ (2000) A two-part model liking multidimensional environmental gradients and seasonal succession of
phytoplankton assemblages. Hydrobiologia 438:13–24
Finlay BJ, Esteban GF (1998) Freshwater protozoa: biodiversity and
ecological function. Biol Conserv 7:1163–1186
Franco C, Esteban G, Téllez C (1998) Colonization and succession of
ciliated protozoa associated with submerged leaves in a river.
Limnologica 28:275–283
Huszar VLM, Kruk C, Caraco N (2003) Steady-state assemblages of
phytoplankton in four temperate lakes (NE USA). Hydrobiologia
502:97–109
Jiang J, Wu S, Shen Y (2007) Effects of seasonal succession and water
pollution on the protozoan community structure in an eutrophic
lake. Chemosphere 66:523–532
Jiang Y, Xu H, Hu X, Zhu M, Al-Rasheid KAS, Warren A (2011a) An
approach to analyzing spatial patterns of planktonic ciliate communities for monitoring water quality in Jiaozhou Bay, northern
China. Mar Pollut Bull 62:227–235
Jiang Y, Xu H, Al-Rasheid KAS, Warren A, Hu X, Song W (2011b)
Planktonic ciliate communities in a semi-enclosed bay of Yellow
Sea, northern China: annual cycle. J Mar Biol Assoc UK 91:97–
105
Jiang Y, Xu H, Zhang W, Zhu M, Al-Rasheid KAS (2012a) Can bodysize patterns of ciliated zooplankton be used for assessing marine
water quality? A case study on bioassessment in Jiaozhou Bay,
northern Yellow Sea. Environ Sci Pollut Res 19:1747–1754
Jiang Y, Zhang W, Zhu M, Al-Rasheid KAS, Xu H (2012b) Are nonloricate ciliates a primary contributor to ecological pattern of
planktonic ciliate communities? A case study in Jiaozhou Bay,
northern China. J Mar Biol Assoc UK 92:1301–1308
Jiang Y, Xu H, Zhu M, Al-Rasheid KAS (2013) Temporal distributions
of microplankton populations and relationships to environmental
conditions in Jiaozhou Bay, northern China. J Mar Biol Assoc UK
93:13–26
Kchaou N, Elloumi J, Drira Z, Hamza A, Ayadi H, Bouain A, Aleya L
(2009) Distribution of ciliates in relation to environmental factors
along the coastline of the Gulf of Gabes, Tunisia. Estuar Coast
Shelf Sci 83:414–424
Environ Sci Pollut Res
Kruk C, Mazzeo N, Lacerot G, Reynolds CS (2002) Classification
schemes for phytoplankton: a local validation of a functional
approach to the analysis of species temporal replacement. J
Plankt Res 24:901–912
Lavorel S, Touzard B, Lebreton JD, Clément B (1998) Identifying
functional groups for response to disturbance in an abandoned
pasture. Acta Oecol 19:227–240
Madoni P, Braghiroli S (2007) Changes in the ciliate assemblage along
a fluvial system related to physical, chemical and geomorphological characteristics. Eur J Protistol 43:67–75
Mieleitner J, Reichert P (2008) Modelling functional groups of phytoplankton in three lakes of different trophic state. Ecol Model
211:279–291
Padisák J, Borics G, Grigorszky I, Soróczki-Pintér É (2006) Use of
phytoplankton assemblages for monitoring ecological status of
lakes within the Water Framework Directive: the assemblage
index. Hydrobiologia 553:1–14
Padisák J, Crossetti LO, Naselli-Flores L (2009) Use and misuse in the
application of the phytoplankton functional classification: a critical review with updates. Hydrobiologia 621:1–19
Reynolds CS (1980) Phytoplankton assemblages and their periodicity
in stratifying lake systems. Holarctic Ecol 3:141–159
Reynolds CS (1999) Phytoplankton assemblages in reservoirs. In:
Tundisi JG, Straškraba M (eds) Theoretical reservoir ecology
and its application. International Institute of Ecology/Backhuys
Publishers, São Carlos, pp 439–456
Reynolds CS, Huszar VLM, Kruk C, Nasseli-Flores L, Melo S (2002)
Towards a functional classification of the freshwater phytoplankton. J Plankton Res 24:417–428
Sime-Ngando T, Gosselin M, Roy S, Chanut JP (1995) Significance of
planktonic ciliated protozoa in the lower St. Lawrence estuary:
comparison with bacterial, phytoplankton, and particulate organic
carbon. Aquat Microb Ecol 9:243–258
Stoecker DK, McDowell-Cappuzzo J (1990) Predation on protozoa: its
importance to zooplankton. J Plankton Resh 12:891–908
Sun S, Huo Y, Yang B (2010) Zooplankton functional groups on the
continental shelf of the yellow sea. Deep-Sea Res II 57:1006–1016
Xu H, Jiang Y, Al-Rasheid KAS, Al-Farraj SA, Song W (2011a)
Application of an indicator based on taxonomic relatedness of
ciliated protozoan assemblages for marine environmental assessment. Environ Sci Pollut Res 18:1213–1221
Xu H, Jiang Y, Zhang W, Zhu M, Al-Rasheid KAS (2011b) An approach
to determining potential surrogates for analyzing ecological patterns
of planktonic ciliate communities in marine ecosystems. Environ Sci
Pollut Res 18:1433–1441
Xu H, Jiang Y, Al-Rasheid KAS, Song W, Warren A (2011c) Spatial
variation in taxonomic distinctness of ciliated protozoan communities at genus-level resolution and relationships to marine water
quality in Jiaozhou Bay, northern China. Hydrobiologia 665:67–
78
Xu H, Zhang W, Jiang Y, Zhu M, Al-Rasheid KAS, Warren A, Song W
(2011d) An approach to determining the sampling effort for
analyzing biofilm-dwelling ciliate colonization using an artificial
substratum in coastal waters. Biofouling 27(4):357–366
Xu H, Zhang W, Jiang Y, Min GS, Choi JK (2011e) An approach to
identifying potential surrogates of periphytic ciliate communities for
monitoring water quality of coastal waters. Ecol Indic 11:1228–1234
Xu H, Zhang W, Jiang Y, Zhu M, Al-Rasheid KAS (2012a) Sampling
sufficiency for analyzing taxonomic relatedness of periphytic ciliate
communities using an artificial substratum in coastal waters. J Sea
Res 72:22–27
Xu H, Zhang W, Jiang Y, Zhu M, Al-Resheid KAS (2012b) An
approach to analyzing influence of enumeration time periods on
detecting ecological features of microperiphyton communities for
marine bioassessment. Ecol Indic 18:50–57
Xu H, Zhang W, Jiang Y, Zhu M, Al-Rasheid KAS, Warren A, Song W
(2012c) Influence of sampling sufficiency on biodiversity analysis
of microperiphyton communities for marine bioassessment.
Environ Sci Pollut Res 19:540–549
Xu H, Jiang Y, Zhang W, Zhu M, Al-Rasheid KAS, Warren A (2013)
Annual variations in body-size spectra of planktonic ciliate communities and their relationships to environmental conditions: a
case study in Jiaozhou Bay, northern China. J Mar Biol Assoc UK
93:47–55
Zhang W, Xu H, Jiang Y, Zhu M, Al-Rasheid KAS (2012a) Influence
of enumeration time periods on analyzing colonization features
and taxonomic relatedness of periphytic ciliate communities using
an artificial substratum for marine bioassessment. Environ Sci
Pollut Res 19:3619–3627
Zhang W, Xu H, Jiang Y, Zhu M, Al-Resheid KAS (2012b) Colonization
dynamics in trophic-functional structure of biofilm-associated
microperiphyton fauna in coastal waters. Mar Biol 159:735–748
Zhang W, Xu H, Jiang Y, Zhu M, Al-Rasheid KAS (2013) Colonization
dynamics of periphytic ciliate communities on an artificial substratum in coastal waters of the Yellow Sea, northern China. J Mar Biol
Assoc UK 93:57–68