1                                            Ichthyoplankton and Fish post-larvae Survey

1.1                                      Introduction

This Annex presents the methodology, results and conclusions of a nine month Ichthyoplankton and Fish Post-Larvae Survey (the Survey) aimed at assessing the abundance, composition and spatial distribution of fish within a previously identified spawning and nursing area in the southern waters of Hong Kong.  The location of the South Soko LNG terminal is at the western edge of the aforementioned area in southern waters (Figure 1.1).  The identified spawning and nursing area extends from the south western tip of Lantau Island to the east of Lamma Island and was first reported by the Agriculture, Fisheries and Conservation Department (AFCD) in the late 1990s in a study entitled “ Fisheries Resources and Fishing Operations in Hong Kong Waters Study”.  The aim of the AFCD study was to identify spawning and nursery areas important for commercial fisheries resources.

The ultimate objective of the present survey is to determine how the abundance and diversity of ichthyoplankton and fish post-larvae differs between various sites within the southern waters.  The information has then been fed into the fisheries impact assessment for the South Soko LNG terminal.

1.2                                      Methodology

1.2.1                                Introduction

Of most interest to the Survey is the relative abundance and diversity of fish fry, larvae and eggs at different locations within the spawning and nursery ground in the southern waters of Hong Kong.  The locations included North and South Soko Islands, South Lantau, South Cheung Chau, Shek Kwu Chau, and South Lamma Island for comparison.  Additional sampling sites were also surveyed along the proposed submarine pipeline route off West Lantau.

A total of 20 sampling locations were identified (Table 1.1 and Figure 1.1).  These stations were selected to represent habitat type or topography (e.g., sandy bay, rocky reef or open channel).


Table 1.1        Sampling Locations

Survey Area

Number of Stations

Stations ID

North and South Soko Islands

5

SK1 – SK5

West Lantau

6

FL1, FL2, PH1, PH2, YO1, YO2

South Lantau

3

AC1, SL1, TF1

South Cheung Chau and Shek Kwu Chau

3

SKC1, SKC2, CC1

South Lamma

3

L1, L2, SW1

The Survey assesses the relative abundance and diversity of fish fry and larvae using two survey methods:

1.        Ichthyoplankton Sampling: The first method was an ichthyoplankton survey to determine the abundance and species composition of fish larval assemblages.  During this stage, fish are still in their planktonic phase and drift with the water currents,

2.        Fish post Larvae Sampling: The second method was a fish post-larval or juvenile survey to determine the abundance and species composition of post-settlement stages.  At this stage fish have attained a larger size and are no longer planktonic, thus are capable of swimming against currents or have adopted a largely demersal habit.

Ichthyoplankton and fish post-larvae surveys were conducted twice per month for nine months from July 2005 to March 2006 at each of the 20 sampling locations (Table 1.2).  The surveys were designed to assess the abundance and composition of ichthyoplankton and fish post-larvae throughout the water column and covered both the wet (July to October) and dry (November to March) seasons in order to account for any seasonal variations in abundance and diversity.  Samples were collected during day-time (7am – 7pm) by towing with plankton nets across the entire water column (Section 1.2.3).

In addition, discrete depth surveys (surface/near-bottom) were conducted on a diurnal/nocturnal basis at stations SK1 and SK2 in July and August 2005 and at SK3, SK4, SK5, SW1, L1 and L2 in August 2005 (Table 1.2).

SK1 and SK2 were chosen for additional sampling as they represent the broad location of the proposed intake of the open circuit vaporisation system, whilst SK3, SK4, SK5, SW1, L1 and L2 were chosen as reference locations.  Discrete depth sampling was completed in order to determine the vertical distribution of fish fry and ichthyoplankton, whilst diurnal/nocturnal sampling allowed to determine any day/night vertical migration of the fish larvae and post-larvae.

The results from the surface/bottom and day/night surveys were then fed into the impact assessment to better identify the potential impacts associated with the open circuit vaporization system of the proposed LNG terminal.

 

Table 1.1         Sampling Schedule During July 2005 to March 2006

Month

Entire Water Column Sampling

Discrete Depths Samples(1)

Ichthyo-plankton

Fish post larvae

Date

Ichthyo-plankton

Fish post larvae

Date

Jul 2005

2

2

23, 24, 25, 28, 29, 30

1

1

25 and 29

Aug 2005

2

2

10, 15, 16, 24, 25, 26, 29, 30

1

1

16, 24, 26, 27, 29, 30

Sep 2005

2

2

9, 12, 13, 27, 28, 29

0

0

N/A

Oct 2005

2

2

12, 13, 21, 24, 25, 26

0

0

N/A

Nov 2005

2

2

8, 9, 11, 21, 22, 23, 24

0

0

N/A

Dec 2005

2

2

5, 6, 7, 20, 21, 23

0

0

N/A

Jan 2006

2

2

4, 5, 6, 23, 24, 25

0

0

N/A

Feb 2006

2

2

1, 2, 3, 6, 7, 8

0

0

N/A

Mar 2006

2

2

15, 16, 17, 20, 21, 22

0

0

N/A

(1)    Diurnal and Nocturnal Samples

(2)    n/a surveys were conducted during the summer months to represent the peak periods of fish eggs and larval abundance

1.2.2                                Field Survey Equipment

The field equipment used in the Survey is presented in Table 1.3. 

Table 1.2        Equipment list of the Ichthyoplankton and Fish Post-Larvae Surveys

Instrument

Manufacturer and Model number

Bongo Ring net

Aquatic research Instruments, 50cm mouth diameter, mesh size 0.3 mm

 

Aquatic research Instruments, 50cm mouth diameter, mesh size 0.5 mm

Closing Plankton net

Aquatic research Instruments, 50cm mouth diameter, mesh size 0.3 mm

 

Aquatic research Instruments, 50cm mouth diameter, mesh size 0.5 mm

CTD

SBE 25 Sealogger CTD

Flowmeter

General Oceanics Inc.  Model 2030R

 

G.O.  Environmental Model

Sample containers

Nalgene Jar Straight-side 2118-0016 500mL

 

Naglene Jar Straight-side 2118-0032 1000mL

The quantity of fish larvae and post-larvae collected from each of the samples were calculated in terms of number per volume of water filtered during the tow, i.e. standardized as number of fish per 100m3 of water filtered.  This in effect provided a measure of fish density per sample, thus allowing direct comparisons between samples. 

Flowmeters were fitted to the mouths of the nets to record the actual amount of water flowing through the nets during towing, from which the volume filtered was derived.

A Conductivity-Temperature-Depth (CTD) recorder was also deployed at each sampling station to obtain a vertical profile of physical environmental parameters with depth, including temperature, salinity, dissolved oxygen, turbidity, and chlorophyll-a concentration (as a measure of phytoplankton abundance).

The depth and seabed topography was determined at each station using an on board echo-sounder.

 

1.2.3                                Sampling Methodologies

Ichthyoplankton

A plankton net, typically of 50 cm mouth diameter and with 0.3 mm mesh size, was deployed to collect zooplankton and ichthyoplankton.  A flowmeter was fitted at the mouth of the net to record the volume of water filtered.  Before each towing, the CTD was deployed to obtain vertical profile of physical environmental parameters. 

The plankton material was fixed in 4% formalin buffered with seawater immediately after collection onboard, and then transferred into 70% ethanol for subsequent preservation in the laboratory.

The ichthyoplankton samples were sorted in the laboratory, where all fish larvae were sorted and counted.  Identifications of fish larvae were made under dissecting stereomicroscopes to the appropriate taxon using available identification keys.  Fish larvae were measured following conventional methodology (total lengths and standard lengths) to determine size ranges and developmental stages.

Fish Post Larvae

The fish post-larvae sampling involved the use of a plankton net of a similar design to that utilised in the ichthyoplankton sampling but with a coarser mesh size of 0.5 mm.  The diameter of the mouth of the net was 50 cm and was also fitted with a flowmeter.

This method was proposed, in addition to the ichthyoplankton sampling, as the finer mesh size used in the ichthyoplankton sampling has too much drag during the trawl, therefore, fish fry would be able to swim faster than the net (1-2 knots maximum) and escape.  If the net was towed faster to catch the fish fry it would create a pressure wave in front of the net mouth, which will lead to less water actually filtering through the net, and would also warn any fish in front of the net of its approach.

With a coarser-mesh net, however, it was possible to tow at higher speeds, say 3 knots, and therefore have a better chance of catching the fish post-larvae and juveniles.  The coarser mesh size also allowed small zooplankton to extrude through the net mesh and thus avoided the zooplankton from clogging up the net. 

Sampling the Entire Water Column

The net was deployed in a single oblique tow to a depth of 1 - 1.5 m off the seabed and towed at a speed of 1 - 2 knots.  Consequently the net was gradually winched up, in accordance with Table 1.4, towards the water surface so that most of the water column was sampled.  A replicate tow was completed at each station.  The tow duration was set at 10 minutes to restrict the amount of zooplankton being collected and to prevent clogging of the nets from accumulated debris, plankton, etc., yet is of sufficient duration to overcome the spatial patchiness in which plankton (and fish post-larvae) occur.

Table 1.3         Towing Criteria - Entire Water Column

Duration (minutes)

Towing depth (m)

0-2

1-1.5 m from seabed

2-4

¼ of the water depth from the seabed

4-6

½ of the water depth from the seabed

6-8

¾ of the water depth from the seabed

8-10

1-1.5 m down from the water surface

Sampling at Discrete Depths

The selected depths of – 3 m and 3 m above seabed were determined with the aid of the on board echo-sounder.  The net was lowered accordingly while the boat was stationary.  The vessel then moved forward at a speed of 1-2 knots and more towing cable was paid out so that the net remained at a fixed depth and was towed horizontally.  On completion of the tow (duration 10 minutes), the closing mechanism of the net was activated to prevent further sampling as the net was hauled back on board.

 

2                                            Survey results

Twenty stations extending from Western Lantau Island to Southern Lamma Island (Figure 1.1) were sampled bimonthly for ichthyoplankton and post larvae between July 2005 and March 2006.

The preliminary results of the nine month baseline fishery survey allow for an analysis of ichthyoplankton and post larvae abundance, composition and distribution for the wet and dry seasons:

1.        Wet Season (July to October): the ichthyoplankton and post larvae data presented were collected from all of the 20 sampling stations throughout the water column and at discrete depths (diurnal and nocturnal) at stations SK1-SK2 in July and August and SK3, SK4, SK5, SW1, L1 and L2 in August;

2.        Dry Season (November to March): the ichthyoplankton and post larvae data presented were collected from all of the 20 sampling stations throughout the water column.  No discrete depths (diurnal and nocturnal) data was collected ([1]).

Fish larvae and fish egg densities were calculated from number per volume (m3) of water filtered to allow for direct comparison between stations. 

2.1                                      Wet Season

Fish egg density, fish density, fish diversity and fish family composition were identified and analysed from samples in the wet season (July to October).  Two-Way ANOVA test was employed to test for the differences in fish egg density and fish density, using SITE and TIME as factors under investigation (p = 0.05). For fish diversity, One-Way ANOVA test was used to test for the difference among sampling stations (p = 0.05). Data were transformed to ensure that they fitted the assumptions of homogeneity of variance and normal distribution of data of the two ANOVA tests. If significant differences in parameters tested were found among sampling stations or months, SNK test would then be used as a post-hoc test to further investigate differences between sampling stations and between months (p = 0.05).  On the other hand, if the transformed data set could not fit the assumptions of homogeneity of variance and normal distribution, the data would be rank-transformed and the ranks tested using parametric statistics for fish egg and fish densities and using Kruskal-Wallis test for fish diversity. For the fish family composition, multidimensional scaling (MDS) of the data set was carried out to visualize the difference in fish family composition among sampling stations.  Subsequently, One-Way ANOSIM was performed to reveal the significance of difference of fish family composition among the 20 sampling stations (p = 0.05).

2.1.1                                Fish Egg Density

Due to the quantitative nature of the fish egg density survey, the results presented combine the data of both the ichthyoplankton and fish post-larvae samples as fish eggs were also collected in the post-larvae sampling nets. 

As reported in Table 2.1 and Figure 2.1, fish egg density (egg m-3) ranged from 0.335 ± 0.650 to 3.224 ± 5.356 in SL1 to CC1.  The Two-Way ANOVA test showed that mean rank of fish egg density was significantly different between months and between sites (p = 0.05). Mean rank of fish egg density in July and August were significantly higher than that in September which was in turn significantly higher than that in October. Stations at South Soko showed no significant difference in mean rank of fish egg density with majority of the stations at other areas (Table 2.2, p = 0.05).

Although fish eggs were not identified to family level, it was noted that many of the eggs were those of the family Engraulidae and these could be readily distinguished by their oval shape, in contrast to other fish families that have spherical eggs.

Table 2.1         Mean Fish Egg Density (± SD) (egg m-3) in the Wet Season

Station

Wet Season

YO1

1.135 (± 1.993)

YO2

1.271 (± 2.022)

PH1

1.565 (± 2.987)

PH2

1.248 (± 2.485)

FL1

2.264 (± 5.439)

FL2

0.495 (± 0.949)

SK1

2.630 (± 3.584)

SK2

2.083 (± 3.689)

SK3

2.828 (± 5.968)

SK4

3.001 (± 6.782)

SK5

1.030 (± 1.673)

AC1

0.935 (± 1.468)

SL1

0.335 (± 0.650)

TF1

1.146 (± 1.763)

SKC1

1.974 (± 4.844)

SKC2

3.089 (± 9.677)

CC1

3.224 (± 5.356)

L1

1.229 (± 1.789)

L2

0.561 (± 0.855)

SW1

0.565 (± 0.832)

Figure 2.1       Mean Fish Egg Density – Wet Season. Two-Way ANOVA test indicated significant differences in mean rank of fish egg density among 20 sampling stations (df = 19, f value = 3.907) and among months (df = 3, f value = 48.497).

 

                        Table 2.2        Main results of SNK tests showing significant differences in mean rank of fish egg density between sampling stations and between months in the Wet Season.

 

Significant difference between (1) sampling stations and (2) between months

(greatest to smallest, left to right)

1.

SK1, CC1, SK4, SK2, SK3, L1, YO2, SKC1, TF1, PH1, YO1, SKC2 SK5, PH2, FL1, AC1

 

     CC1                                                                   L2

 

          SK4                                                                 SW1

 

                       L1                                                            FL2

 

                          YO2                                                           SL1

2.

AUG = JUL > SEP > OCT


2.1.2                                Fish Density

Mean fish density was calculated using post larvae data collected in both the ichthyoplankton survey nets and the post-larvae survey nets (I-net and P-net respectively).  The data were not combined due to the quantitative and qualitative nature of the post larvae assessment and is therefore presented separately (Table 2.3).

Table 2.3         Mean Fish Density (± SD) (larvae m-3) in Ichthyoplankton and Fish post-larvae Surveys – Wet Season

Station

Ichthyoplankton Survey

Post-larvae Survey

YO1

1.101 (± 1.262)

0.108 (± 0.079)

YO2

1.328 (± 1.632)

0.176 (± 0.224)

PH1

2.498 (± 3.180)

0.166 (± 0.166)

PH2

2.498 (± 2.421)

0.201 (± 0.311)

FL1

2.095 (± 2.923)

0.211 (± 0.251)

FL2

0.940 (± 1.067)

0.094 (± 0.118)

SK1

2.229 (± 1.977)

0.154 (± 0.217)

SK2

1.414 (± 1.335)

0.130 (± 0.130)

SK3

1.616 (± 1.295)

0.152 (± 0.150)

SK4

2.376 (± 1.422)

0.151 (± 0.137)

SK5

1.663 (± 1.295)

0.182 (± 0.200)

AC1

1.944 (± 1.802)

0.105 (± 0.079)

SL1

1.624 (± 1.721)

0.197 (± 0.192)

TF1

1.278 (± 1.082)

0.085 (± 0.101)

SKC1

2.048 (± 1.704)

0.193 (± 0.253)

SKC2

1.952 (± 1.714)

0.168 (± 0.167)

CC1

1.462 (± 1.385)

0.078 (± 0.090)

L1

2.484 (± 3.875)

0.111 (± 0.139)

L2

1.643 (± 1.376)

0.085 (± 0.086)

SW1

2.131 (± 2.900)

1.457 (± 5.219)

Ichthyoplankton Survey

From a review of the post larvae data collected with the ichthyoplankton survey net it emerged that the highest densities were recorded at PH1, PH2, SK1, SK4, L1 and SW1 (Figure 2.2, Table 2.3).  The result of Two-Way ANOVA test indicated that mean rank of fish density was significantly different between months and between sampling stations (p = 0.05). The mean rank of fish density in July was significantly higher than those in August and September which were in turn significantly higher than that in October. On the other hand, mean rank of fish density in SK4 was significantly higher than that in FL2 (Table 2.4, p = 0.05).


Figure 2.2       Mean Fish Density – Ichthyoplankton Survey. Two-Way ANOVA test indicated significant differences in mean rank of fish density among 20 sampling stations (df = 19, f value = 1.699) and among months (df = 3, f value = 75.222).

 

                        Table 2.4        Main results of SNK tests showing significant differences in mean rank of fish density between sampling stations and between months in the Wet Season.

 

Significant difference between (1) sampling stations and (2) between months

(greatest to smallest, left to right)

1.

SK4, SK1, PH2, SK5, AC1, SKC1, SKC2, L2, L1, SK3, PH1, FL1, SK2, SL1, CC1, TF1, SW1, YO1, YO2

 

     SK1                                                                                FL2

2.

JUL > AUG = SEP > OCT

Fish Post-Larvae Survey

From a review of the post larvae data collected with the post-larvae net it emerged that the highest fish density was recorded in SW1 with 1.457 ± 5.219 larvae m-3 (Figure 2.3 and Table 2.3), otherwise the results showed a low fish density between 0.1 to 0.2 larvae m-3 throughout the sampling stations. The result of Two-Way ANOVA test indicated that mean rank of fish density was significantly different between months and between sampling stations (p = 0.05). Subsequently, SNK tests revealed that the mean rank of fish density in July was significantly higher that those in August, September and October. Surprising, no significant difference in mean rank of fish density could be found between sampling stations (Table 2.5, p = 0.05).

Figure 2.3       Mean Fish Density – Fish Post- Larvae Survey. Two-Way ANOVA teset indicated significant difference in mean rank of fish density among 20 sampling stations (df = 19, f value = 1.881) and among months (df = 3, f value = 13.613).

 

 

Table 2.5    Main results of SNK tests showing significant differences in mean rank of fish density between sampling stations and between months in the Wet Season.

 

Significant difference between (1) sampling stations and (2) between months

(greatest to smallest, left to right)

1.

N.S.

2.

JUL > SEP = AUG = OCT

Seasonal Variation – Wet Season

The results presented in Table 2.6 showed that the highest fish densities (from both the ichthyoplankton and post larvae nets) were obtained between July and September.  Overall fish densities in the ichthyoplankton net samples decreased significantly in October implying that the peak spawning period for most fishes in southern waters of Hong Kong occurred during the summer.  A similar trend was observed in the post larvae net samples.

 

Table 2.6    Mean Fish (larvae m-3) and Fish egg (egg m-3) Densities in Ichthyoplankton and Fish Post-Larvae Surveys in Each Sampling Period – Wet Season

Date

Ichthyoplankton Survey

Fish Post-Larvae Survey

 

Fish Density

(larvae m-3)

Fish Egg Density

(egg m-3)

Fish Density

(larvae m-3)

Fish Egg Density

(egg m-3)

July 05

3.340

4.332

0.211

3.189

August 05

1.882

3.189

0.387

0.043

September 05

1.510

4.611

0.104

0.034

October 05

0.532

0.703

0.139

0.007

2.1.3                                Fish Post-Larvae Diversity

Since only the fish post-larvae collected with the post-larvae net were classified to the family level, diversity of fish post-larvae which is represented by number of family found and the Shannon-Wiener diversity index was calculated only with this data set.  The number of family ranged from 13.00 ± 1.00 in FL2 to 25.00 ± 5.57 in SK1, whereas the Shannon-Wiener diversity index ranged from 1.24 ± 0.47 in PH1 to 2.13 ± 0.25 in L1 (Table 2.7).  Result of One-Way ANOVA showed that there was no signficiant difference in mean number of fish family among the 20 sampling sites (Figure 2.4, p > 0.05). Besides, Kruskal-Wallis test indicated that mean rank of Shannon-Wiener diversity index was not significantly different among sampling stations (Figure 2.5, p > 0.05).


                        Table 2.7        Mean number of fish family (± SD) (larvae m-3) and Shannon-Wiener Index (± SD) recorded from Fish post-larvae Surveys – Wet Season

Stations

No. of fish family recorded

Shannon-Wiener Index

YO1

14.33 (± 2.89)

1.57 (± 0.08)

YO2

15.67 (± 2.08)

1.57 (± 0.11)

PH1

13.67 (± 2.31)

1.24 (± 0.47)

PH2

17.67 (± 2.89)

1.76 (± 0.15)

FL1

16.00 (± 1.00)

1.83 (± 0.06)

FL2

13.00 (± 1.00)

1.76 (± 0.25)

SK1

25.00 (± 5.57)

2.02 (± 0.11)

SK2

17.67 (± 4.51)

1.72 (± 0.18)

SK3

19.33 (± 3.21)

1.76 (± 0.07)

SK4

17.33 (± 4.93)

1.57 (± 0.28)

SK5

19.67 (±1.53)

1.78 (± 0.09)

AC1

18.00 (± 2.65)

1.63 (± 0.57)

SL1

14.67 (± 3.51)

1.64 (± 0.22)

TF1

14.00 (± 3.61)

1.58 (± 0.23)

SKC1

16.67 (± 3.06)

1.88 (± 0.34)

SKC2

17.33 (± 2.31)

1.72 (± 0.13)

CC1

15.33 (± 3.79)

1.87 (± 0.13)

L1

17.33 (± 4.73)

2.13 (± 0.25)

L2

16.67 (± 1.53)

2.02 (± 0.31)

SW1

16.67 (± 6.03)

1.84 (± 0.40)

 

Figure 2.4       Mean Number of Fish Family Recorded – Fish Post- Larvae Survey. No significant difference in mean rank of number of fish family recorded was found among 20 sampling stations (n = 320, df = 19) by One-Way ANOVA (F value = 1.75, p > 0.05)

 

                        Figure 2.5      Mean Shannon-Wiener Index – Fish Post- Larvae Survey. No significant difference in mean rank of Shannon-Wiener Index was found among 20 sampling stations (n = 320, df = 19) by Kruskal-Wallis test (Chi-square = 28.3, p > 0.05)

 

2.1.4                                Fish Family Composition

Samples were dominated by Ambassidae (glass perches), Engraulidae (anchovies), Gobiidae (gobies) and Sciaenidea (croakers) (Table 2.8).  In addition, Cynoglossidae (tonguefishes) and Leiognathidae (ponyfishes) were also common in certain samples. The common fish families were widespread in distribution and were therefore found in all areas. On the MDS plot generated using data from the 20 sampling stations, no apparent spatial pattern of fish family composition could be detected among the 20 sampling stations (Figure 2.6).  The ANOSIM test showed that no significant difference in fish family composition could be found among sampling stations (p > 0.05).

Figure 2.6       MDS plot showing difference in fish family composition among sites in the Wet Season.  ANOSIM analysis indicated that no significant difference in fish family composition was found among sites (Global R=-0.22, p > 0.05)

Table 2.8         Fish Family Composition (%) During the Wet Season

Family

YO1

YO2

PH1

PH2

FL1

FL2

SK1

SK2

SK3

SK4

SK5

AC1

SL1

TF1

SKC1

SKC2

CC1

L1

L2

SW1

Ambassidae

26.7

25.5

15.2

29.7

11.9

14.2

18.0

22.8

29.7

26.4

26.2

34.9

29.5

15.8

23.0

22.7

25.4

18.7

22.9

56.3

Antennariidae

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.1

0.0

0.0

0.0

0.0

0.6

0.0

Apogonidae

0.1

0.3

0.2

0.4

0.6

0.4

1.8

0.4

0.7

0.2

0.8

0.5

0.5

3.5

2.3

2.1

4.6

2.0

1.7

0.9

Blenniidae

0.9

2.0

0.3

1.0

1.5

0.5

1.1

2.1

2.6

0.5

1.3

1.0

0.2

1.5

0.7

1.2

4.2

6.7

5.9

2.8

Bothidae

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.1

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.1

0.0

Bregmacerotidae

0.8

1.2

0.4

1.4

0.6

3.7

7.5

3.1

1.9

2.6

2.7

3.5

0.8

0.4

2.2

2.2

0.3

4.4

3.3

1.8

Callionymidae

0.0

0.1

0.5

0.2

1.1

0.1

0.3

0.2

0.4

0.1

0.2

0.5

0.5

0.3

0.2

0.2

0.5

0.4

0.3

0.3

Carangidae

0.0

0.1

0.1

0.2

0.1

0.1

0.9

0.3

0.1

0.1

0.1

0.3

0.0

0.1

0.1

0.6

0.1

0.0

0.0

0.2

Clupeidae

0.8

0.3

0.0

3.9

0.1

0.2

0.7

0.1

0.1

0.1

0.7

0.1

0.2

0.0

0.0

0.2

0.2

0.1

0.3

0.3

Cynoglossidae

6.5

4.1

0.9

6.7

5.5

9.1

5.3

2.2

4.4

3.6

4.7

2.9

3.0

7.5

8.3

4.0

5.4

4.3

7.5

3.6

Drepaneidae

0.1

0.1

0.0

0.1

0.2

0.0

1.0

0.4

0.2

0.1

0.0

0.1

0.1

0.1

0.0

0.2

0.1

0.4

0.6

0.2

Engraulidae

22.8

19.9

58.2

22.4

30.4

14.4

18.3

15.6

21.4

22.6

12.5

10.5

24.2

26.6

19.3

11.8

8.9

16.2

18.8

6.1

Gerreidae

0.0

0.0

0.0

0.0

0.1

0.0

0.1

0.1

0.1

0.0

0.2

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

Gobiidae

14.3

13.9

8.2

13.9

15.0

22.9

6.4

16.1

9.0

17.8

14.1

11.3

15.7

16.8

16.8

27.7

21.1

17.4

17.4

9.4

Haemulidae

0.2

0.1

0.0

0.0

0.0

0.1

0.5

0.3

0.0

0.0

0.3

0.1

0.0

0.0

0.0

0.0

0.0

0.3

0.0

0.1

Labridae

0.0

0.0

0.0

0.0

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

Leiognathidae

1.5

2.4

4.0

2.5

6.9

4.3

12.7

5.4

5.5

3.7

6.0

7.0

3.5

3.3

4.6

3.5

5.0

1.9

3.3

3.4

Lobotidae

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Monacanthidae

0.0

0.0

0.0

0.1

0.4

0.0

0.1

0.1

0.0

0.1

0.2

0.2

0.1

0.1

0.5

0.2

0.1

3.5

0.1

0.4

Mugilidae

0.2

0.1

0.1

0.1

0.2

0.0

0.2

0.1

0.2

0.5

0.9

0.6

0.1

0.7

0.7

0.3

0.6

1.6

0.6

0.0

Muraenidae

0.0

0.0

0.0

0.0

0.0

0.1

0.2

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

Ophichthidae Eel

0.0

0.1

0.0

0.1

0.1

0.0

0.1

0.0

0.0

0.2

0.0

0.2

0.0

0.0

0.3

0.0

0.2

0.0

0.0

0.0

Platycephalidae

0.0

0.1

0.2

0.1

3.3

1.1

2.3

1.5

0.5

0.4

0.6

0.8

0.4

0.3

0.0

0.0

0.3

0.7

0.4

0.1

Pomacentridae

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.1

0.0

Scaridae

0.0

0.0

0.0

0.0

0.1

0.0

0.3

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.1

0.2

0.0

0.0

Scatophagidae

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.1

0.1

0.0

Sciaenidae

23.7

27.9

11.1

16.0

20.4

25.8

18.8

27.5

21.0

20.0

26.7

23.3

19.8

20.8

16.8

21.5

22.3

17.2

14.6

12.3

Scorpaenidae

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

2.4

0.0

0.0

0.0

0.0

0.0

Serranidae

0.0

0.0

0.0

0.0

0.1

0.0

0.5

0.1

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.1

Sillaginidae

0.6

0.5

0.4

0.5

0.6

0.8

1.0

0.8

0.9

0.3

0.5

0.7

0.6

0.7

0.1

0.4

0.4

0.3

0.2

0.7

Soleidae

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Sparidae

0.0

0.1

0.0

0.1

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

Synanceiidae

0.2

0.3

0.1

0.2

0.3

0.2

0.1

0.1

0.1

0.1

0.1

0.1

0.3

0.0

0.3

0.4

0.0

0.4

0.2

0.3

Syngnathidae

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.1

0.1

Synodontidae

0.1

0.3

0.0

0.5

0.5

1.4

1.0

0.4

0.7

0.2

0.5

0.7

0.2

1.0

1.1

0.4

0.1

2.4

0.7

0.3

Terapontidae

0.0

0.1

0.0

0.0

0.0

0.1

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.1

Tetraodontidae

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.1

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.2

0.0

Trichiuridae

0.0

0.1

0.0

0.1

0.1

0.0

0.0

0.2

0.2

0.1

0.2

0.1

0.0

0.0

0.1

0.0

0.0

0.3

0.1

0.1

Unidentified

0.0

0.1

0.1

0.0

0.1

0.6

0.2

0.1

0.1

0.1

0.2

0.1

0.0

0.1

0.1

0.0

0.0

0.2

0.0

0.0

Total in each station

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

2.1.5                                Day/Night-Surface/Bottom Surveys (July and August 2005)

Stations SK1, SK2, SK3, SK4, and SK5 were each sampled by horizontal tows using a closing ring net to investigate if there were any differences between day and night samples collected from surface or bottom layers (Table 2.9).

Table 2.9         Mean Fish and Fish egg densities (± SD) of Day/Night-Surface/Bottom Surveys

Station

Type of survey

Fish Density

(larvae m-3)

Fish Egg Density

(egg m-3)

SK1

Day-Surface

16.253 (± 2.519)

2.189 (± 3.821)

Day-Bottom

10.500 (± 1.863)

0.668 (± 0.915)

Night-Surface

37.865 (± 5.947)

1.529 (± 2.520)

Night-Bottom

31.332 (± 3.395)

0.102 (± 0.131)

SK2

Day-Surface

14.573 (± 3.296)

7.403 (± 13.503)

Day-Bottom

3.997 (± 0.832)

3.710 (± 5.398)

Night-Surface

10.305 (± 1.818)

1.731 (± 2.277)

Night-Bottom

2.883 (± 0.193)

1.175 (± 2.099)

SK3

Day-Surface

0.145 (± 0.097)

0.697 (± 0.780)

Day-Bottom

0.379 (± 0.404)

0.262 (± 0.299)

Night-Surface

0.780 (± 0.492)

1.106 (± 1.544)

Night-Bottom

0.609 (± 0.373)

0.297 (± 0.341)

SK4

Day-Surface

1.098 (± 1.195)

2.227 (± 2.700)

Day-Bottom

0.466 (± 0.466)

1.386 (± 1.633)

Night-Surface

0.928 (± 0.615)

43.116 (± 67.506)

Night-Bottom

1.346 (± 1.205)

73.079 (± 92.486)

SK5

Day-Surface

1.010 (± 1.772)

0.708 (± 0.991)

Day-Bottom

0.532 (± 0.574)

0.407 (± 0.575)

Night-Surface

0.632 (± 0.692)

2.737 (± 2.926)

Night-Bottom

0.951 (± 0.598)

8.595 (± 10.313)

The data collected and analysed highlighted no significant differences between fish densities at any of the five stations around Soko Islands, irrespective of whether the samples were collected at day/night or from surface/bottom.  Overall no significant difference in fish density and fish egg density was observed in day/night-surface/bottom samples. 

It has to be noted that during the day/night – surface/bottom data review a high density of Gobiidae and Bregmacerotidae were found in SK1 and SK2.

2.2                                      Dry Season

Fish egg density, fish density, fish diversity and fish family composition were identified and analysed from samples in the dry season (November to March). Methodology for data analysis was the same as the wet season as stated in Section 2.1.

 

2.2.1                                Fish Egg Density

Due to the quantitative nature of the fish egg density survey, the results presented combine the data of both the ichthyoplankton and fish post-larvae samples as fish eggs were also collected in the post-larvae sampling nets.

The fish egg densities ranged from 0.161 ±0.565 egg m-3 in CC1 to 4.382 ± 23.424 egg m-3 in FL2 (Table 2.10 and Figure 2.7). Result of Two-Way ANOVA test showed that mean rank of fish egg density was significantly different between months and between sampling stations (p = 0.05). Subsequent SNK test showed that mean rank of fish egg density in March was significantly higher than that in February which was in turn significantly higher than those in December, January and November. Stations at South Soko showed no significant difference in mean rank of fish egg density with majority of the stations at other areas (Table 2.11, p = 0.05).

Table 2.10       Mean Fish Egg Density (± SD) (egg m-3) in the Dry Season

Station

Dry Season

YO1

0.761 (± 1.976)

YO2

0.404 (± 1.242)

PH1

0.846 (± 2.916)

PH2

1.436 (± 5.340)

FL1

0.357 (± 0.742)

FL2

4.382 (± 23.424)

SK1

1.161 (± 4.000)

SK2

0.456 (± 1.335)

SK3

0.617 (± 1.811)

SK4

1.078 (± 3.208)

SK5

0.496 (± 1.141)

AC1

0.936 (± 3.011)

SL1

0.674 (± 1.551)

TF1

0.855 (± 2.218)

SKC1

0.873 (± 3.635)

SKC2

2.058 (± 8.419)

CC1

0.161 (± 0.565)

L1

0.282 (± 1.108)

L2

0.299 (± 1.073)

SW1

0.221 (± 0.649)

 

 

Figure 2.7       Mean Fish Egg Density – Dry Season. Two-Way ANOVA test indicated significant differences in mean rank of fish egg density among 20 sampling stations (df = 19, f value = 3.674) and among months (df = 4, f value = 120.097).

 

                        Table 2.11      Main results of SNK tests showing significant differences in mean rank of fish egg density between sampling stations and between months in the Dry Season.

 

Significant difference between (1) sampling stations and (2) between months

(greatest to smallest, left to right)

1.

SK4, YO1, SK5, FL1, YO2, SL1, SK3, PH1, SK2, SK1, TF1, FL2, AC1

 

     YO1                                                  L1, PH2

 

          SK5                                                     CC1, SKC1

 

              FL1                                                            SW1, L1, SKC2

2.

MAR > FEB > DEC = JAN = NOV

2.2.2                                Fish Density

Mean fish density was calculated using post larvae data collected in both the ichthyoplankton survey nets and the post-larvae survey nets (I-net and P-net respectively).  The data were not combined due to the quantitative and qualitative nature of the post larvae assessment and are therefore presented separately (Table 2.12).

Table 2.12       Mean Fish Density (± SD) (larvae m-3) in Ichthyoplankton and Fish Post-Larvae Surveys – Dry Season

Station

Ichthyoplankton

Fish Post-Larvae

YO1

0.296 (± 0.449)

0.061 (± 0.134)

YO2

0.108 (± 0.126)

0.059 (± 0.096)

PH1

0.134 (± 0.199)

0.063 (± 0.083)

PH2

0.276 (± 0.349)

0.057 (± 0.067)

FL1

0.258 (± 0.281)

0.107 (± 0.141)

FL2

0.292 (± 0.432)

0.125 (± 0.195)

SK1

0.280 (± 0.384)

0.048 (± 0.078)

SK2

0.148 (± 0.173)

0.034 (± 0.069)

SK3

0.190 (± 0.305)

0.023 (± 0.028)

SK4

0.124 (± 0.225)

0.019 (± 0.023)

SK5

0.217 (± 0.128)

0.063 (± 0.120)

AC1

0.159 (± 0.133)

0.037 (± 0.050)

SL1

0.219 (± 0.294)

0.038 (± 0.046)

TF1

0.212 (± 0.381)

0.043 (± 0.043)

SKC1

0.133 (± 0.182)

0.029 (± 0.036)

SKC2

0.149 (± 0.216)

0.032 (± 0.026)

CC1

0.199 (± 0.360)

0.051 (± 0.088)

L1

0.163 (± 0.245)

0.047 (± 0.052)

L2

0.243 (± 0.301)

0.051 (± 0.095)

SW1

0.164 (± 0.192)

0.046 (± 0.060)

 

Ichthyoplankton Survey

From a review of the post larvae data collected with the ichthyoplankton survey it emerged that higher fish densities were recorded in YO1, FL2, SK1 and PH2 with approximately 0.2 larvae m-3, while the lowest fish density was 0.108 ± 0.126 larvae m-3 in YO2 (Table 2.12 and Figure 2.8). Result of Two-Way ANOVA test indicated that there was significant difference in mean rank of fish density between months and between sampling stations (p = 0.05). The mean rank of fish density in January was significantly higher than those in December, November, February and March. For the spatial difference, mean rank of fish density at SK5 was significantly higher than that in SK4 (Table 2.13, p = 0.05).

 

Figure 2.8       Mean Fish Density – Ichthyoplankton Survey. Two-Way ANOVA test indicated significant differences in mean rank of fish density among 20 sampling stations (df = 19, f value = 1.897) and among months (df = 4, f value = 23.148).

Table 2.13       Main results of SNK tests showing significant differences in mean rank of fish density between sampling stations and between months in the Dry Season.

 

Significant difference between (1) sampling stations and (2) between months

(greatest to smallest, left to right)

1.

SK5, PH2, FL1, SK1, AC1, FL2, YO1, SL1, L2, SK2, SK3, SW1, TF1, PH1, L1, CC1, SKC2, SKC1, YO2

 

     PH2                                                                               SK4

2.

JAN > DEC = NOV = FEB > MAR

Fish Post-Larvae Survey

From a review of the post larvae data collected with the post-larvae net it emerged that the highest fish density was recorded in FL2 with 0.125 ± 0.195 larvae m-3 (Table 2.12 and Figure 2.9) . Result of Two-Way ANOVA test indicated that there was significant difference in mean rank of fish density between months and between sampling stations (p = 0.05). The mean rank of fish density in January was significantly higher than that in February which was in turn significantly higher than those in November, December and March. For the spatial difference, mean rank of fish density at FL1 was significantly higher than those at all other sampling stations (Table 2.14, p = 0.05).

Figure 2.9       Mean Fish Density – Post-Larvae Survey. Two-Way ANOVA test indicated significant differences in mean rank of fish density among 20 sampling stations (df = 19, f value =3.384) and among months (df = 4, f value =88.047).

 

                        Table 2.14      Main results of SNK tests showing significant differences in mean rank of fish density between sampling stations and between months in the Dry Season.

 

Significant difference between (1) sampling stations and (2) between months

(greatest to smallest, left to right)

1.

FL1

 

    PH1, PH2, FL2, TF1, YO2, SK5, SK1, CC1, L2, SL1, L1, AC1, YO1, SKC2, SKC1, SW1, SK3, SK2, SK4

2.

JAN > FEB > NOV = DEC > MAR

Seasonal Variation (November – March)

Fish post-larvae densities varied, showing a decrease in December but then increased again in January (Table 2.15).

The results presented in Table 2.15 show that the highest fish densities (from both the ichthyoplankton and post larvae nets) were obtained in January.  Lower densities were recorded in the remaining months, with the lowest densities recorded in the March samples.  A similar trend was observed in the post larvae net samples.

Table 2.15       Mean Fish (larvae m-3) and Fish egg (egg m-3) Densities in Ichthyoplankton and Fish Post-Larvae Surveys in Each Sampling Period

Date

Ichthyoplankton Survey

Fish Post-Larvae Survey

 

Fish Density

(larvae m-3)

Fish Egg Density

(egg m-3)

Fish Density

(larvae m-3)

Fish Egg Density

(egg m-3)

November 2005

0.149

0.125

0.037

0.002

December 2005

0.167

0.080

0.026

0.010

January 2006

0.453

0.157

0.147

0.023

February 2006

0.142

0.287

0.045

0.008

March 2006

0.080

8.441

0.007

0.044

2.2.3                                Fish Post-Larvae Diversity

Since only the fish post-larvae collected with the post-larvae net were classified to the family level, diversity of fish post-larvae which is represented by number of family found and the Shannon-Wiener diversity index was calculated only with this data set.  The number of family ranges from 8.40 ± 2.07 in CC1 to 13.00 ± 1.73 in FL1, whereas the Shannon-Wiener diversity index ranged from 1.18 ± 0.36 in TF1 to 1.71 ± 0.19 in FL2 (Table 2.16).  Both number of family (Figure 2.10) and Shannon-Wiener index (Figure 2.11) showed no significant differences among the 20 sampling stations (One-Way ANOVA, p > 0.05).

Table 2.16       Mean number of fish family (± SD) (larvae m-3) and Shannon-Wiener Index recorded from Fish post-larvae Surveys – Dry Season

Stations

No. of fish family recorded

Shannon-Wiener Index

 

 

 

YO1

10.80 (± 0.84)

1.55 (± 0.24)

 

 

 

YO2

9.80 (± 3.35)

1.48 (± 0.36)

 

 

 

PH1

11.40 (± 3.68)

1.51 (± 0.55)

 

 

 

PH2

11.80 (± 3.19)

1.43 (± 0.24)

 

 

 

FL1

13.00 (± 1.73)

1.36 (± 0.37)

 

 

 

FL2

12.00 (± 4.69)

1.71 (± 0.19)

 

 

 

SK1

11.00 (± 1.58)

1.43 (± 0.50)

 

 

 

SK2

10.00 (± 2.83)

1.33 (± 0.52)

 

 

 

SK3

11.20 (± 4.09)

1.52 (± 0.63)

 

 

 

SK4

9.80 (± 2.05)

1.45 (± 0.65)

 

 

 

SK5

12.80 (± 3.27)

1.50 (± 0.56)

 

 

 

AC1

12.20 (± 2.59)

1.51 (± 0.58)

 

 

 

SL1

10.20 (± 2.28)

1.37 (± 0.57)

 

 

 

TF1

9.60 (± 3.36)

1.18 (± 0.36)

 

 

 

SKC1

9.80 (± 1.48)

1.48 (± 0.48)

 

 

 

SKC2

10.60 (± 3.05)

1.55 (± 0.38)

 

 

 

CC1

8.40 (± 2.07)

1.40 (± 0.44)

 

 

 

L1

11.20 (± 2.68)

1.43 (± 0.54)

 

 

 

L2

11.00 (± 3.39)

1.26 (± 0.48)

 

 

 

SW1

10.20 (± 2.86)

1.21 (± 0.55)

 

 

 

 

Figure 2.10     Mean Number of Fish Family Recorded – Fish Post- Larvae Survey.  No significant difference in mean number of fish family recorded was found among 20 sampling stations (n = 400, df = 19) by One-Way ANOVA (F value = 0.80, p > 0.05)

 

 

Figure 2.11     Mean Shannon-Wiener Index – Fish Post- Larvae Survey.  No significant difference in mean rank of Shannon-Wiener Index was found among 20 sampling stations (n = 400, df = 19) by One-Way ANOVA (F value = 0.35, p > 0.05)

 

2.2.4                                Fish Family Composition

The families recorded for the dry season samples differed markedly from that in wet season, with Callionymidae (Dragonets), Gobiidae, Scorpaenidae (rockfishes) and Syngnathidae (pipefishes) replacing Ambassidae (glass perches), Engraulidae (anchovies) and Sciaenidae (croakers) as the most common families (Table 2.17).  From the MDS plot, there was no apparent spatial difference in fish family composition among the 20 sampling stations (Figure 2.12).  It is supported by the subsequent ANOSIM test, which could not reveal any significant difference in fish family composition amongst the sampling stations (p > 0.05).

Figure 2.12     MDS plot showing difference in fish family composition among sites in the Dry Season.  ANOSIM analysis indicated that no significant difference in fish family composition was found among sites (Global R =-0.10, p > 0.05)

Table 2.17      Fish Family Composition (%) - Dry Season

Family

YO1

YO2

PH1

PH2

FL1

FL2

SK1

SK2

SK3

SK4

SK5

AC1

SL1

TF1

SKC1

SKC2

CC1

L1

L2

SW1

Ambassidae

0.0

0.2

0.4

0.1

0.1

0.0

0.0

0.0

0.2

0.0

0.2

0.2

0.1

0.0

0.0

0.0

0.0

0.2

0.0

0.0

Apogonidae

0.8

0.3

0.5

0.4

0.3

0.1

0.3

0.3

0.2

0.7

0.1

0.5

0.7

0.4

0.3

0.2

0.2

0.3

0.1

0.1

Blenniidae

0.9

0.9

0.9

1.1

0.8

1.0

5.9

4.9

2.7

4.2

2.9

2.5

1.1

0.6

1.1

3.6

0.5

3.8

6.5

3.2

Bothidae

0.2

0.0

0.0

0.0

0.0

0.2

0.3

0.3

0.3

0.5

1.0

0.3

0.0

0.1

0.0

0.2

0.0

0.0

0.0

0.1

Bregmacerotidae

0.5

0.2

0.5

0.3

0.0

0.3

0.6

4.5

2.7

2.8

10.5

2.6

2.8

0.3

3.1

1.8

3.0

3.8

9.0

7.5

Callionymidae

3.9

7.0

5.1

7.9

4.8

9.8

6.0

6.5

4.3

3.0

9.2

11.7

6.9

6.0

8.0

9.0

14.6

14.6

12.7

5.8

Carangidae

0.1

0.0

0.0

1.1

0.2

0.7

0.9

0.5

2.2

2.6

1.6

2.1

0.5

0.3

0.7

0.2

0.2

0.3

0.6

0.1

Centrolophidae

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.2

0.2

0.2

0.0

0.0

Clupeidae

0.1

0.3

0.7

0.5

0.4

0.5

0.3

0.7

0.3

0.5

0.0

0.8

0.5

0.3

0.7

0.8

0.3

0.7

0.8

0.3

Cynoglossidae

1.0

0.0

0.5

0.2

0.1

0.1

1.5

0.0

0.2

0.0

0.5

0.2

0.2

0.0

0.3

0.0

0.0

0.2

1.1

0.4

Drepaneidae

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.2

0.2

0.0

0.2

0.0

Elopidae

0.0

0.2

0.0

0.0

0.1

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

Engraulidae

7.6

7.8

26.7

10.5

11.2

4.0

6.9

7.2

3.8

4.9

6.5

5.9

4.0

6.6

1.4

2.6

2.5

2.0

11.9

6.3

Gerreidae

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.1

0.2

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

Gobiidae

14.2

13.9

16.3

18.7

8.7

23.7

2.5

4.5

4.8

4.0

3.4

5.8

5.2

2.4

3.1

4.2

3.7

1.7

2.0

2.6

Haemulidae

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Labridae

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

Leiognathidae

0.1

0.0

3.8

0.2

0.4

0.1

0.1

0.2

0.0

0.0

0.0

0.2

0.0

0.0

0.0

0.2

0.0

0.3

0.0

0.0

Monacanthidae

0.0

0.0

0.2

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Mugilidae

0.1

0.3

1.8

0.0

4.1

2.8

0.2

1.0

0.7

0.7

1.6

0.2

0.0

0.0

0.1

3.4

0.8

0.5

0.8

0.4

Ophichthidae Eel

0.0

0.2

0.0

0.0

0.0

0.0

0.1

0.0

0.2

0.2

0.7

0.2

0.0

0.0

0.0

0.0

0.0

0.5

0.0

0.0

Paralichthyidae

0.0

0.0

0.5

0.0

0.0

0.0

0.0

0.2

0.2

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Percichthyidae

2.2

4.4

0.2

0.8

1.6

1.9

2.6

0.9

1.2

0.5

1.0

1.2

0.9

1.5

2.4

3.6

3.2

3.0

1.6

1.1

Platycephalidae

0.5

1.0

1.5

0.9

0.7

0.6

0.6

1.0

1.8

1.2

1.1

0.7

2.0

1.0

0.7

2.0

2.4

2.8

0.8

3.3

Pomacentridae

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Scaridae

0.0

0.3

0.0

0.0

0.0

0.1

0.0

0.2

0.0

0.5

0.0

0.0

0.0

0.5

0.0

0.2

0.0

0.0

0.0

0.0

Scatophagidae

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

Sciaenidae

3.6

3.4

6.5

0.8

2.3

3.2

5.2

3.8

1.8

1.2

2.4

3.0

0.6

0.3

0.4

0.2

1.2

2.8

4.0

1.0

Scorpaenidae

28.4

30.8

19.4

37.4

55.8

20.0

58.9

58.4

69.0

68.5

51.1

55.7

68.5

72.8

70.9

57.2

50.6

56.6

42.7

60.0

Sillaginidae

0.3

0.3

0.9

0.6

0.4

0.1

0.2

0.2

0.2

0.2

0.0

0.3

0.2

0.0

0.1

0.6

1.0

0.5

0.7

0.4

Soleidae

1.2

0.2

1.3

1.9

0.5

1.3

1.9

0.9

0.7

2.3

1.9

2.1

1.2

1.9

0.9

1.4

1.7

1.2

0.5

0.8

Sparidae

0.0

0.9

0.9

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.3

0.0

0.0

Sphyraenidae

1.4

2.2

0.5

1.7

0.4

1.4

2.1

2.3

1.0

0.2

2.4

1.0

2.0

2.3

2.0

3.6

6.9

2.3

3.2

5.0

Synanceiidae

0.0

0.2

0.5

0.0

0.1

0.1

0.0

0.3

0.0

0.0

0.1

0.5

0.1

0.0

0.0

0.0

0.0

0.2

0.0

0.0

Syngnathidae

32.6

24.5

8.9

13.9

6.1

27.0

1.8

0.5

0.3

0.7

0.2

1.2

1.8

2.0

3.1

3.6

6.4

0.3

0.0

0.0

Synodontidae

0.1

0.0

0.0

0.2

0.2

0.0

0.1

0.0

0.0

0.0

0.0

0.2

0.1

0.0

0.0

0.0

0.0

0.2

0.0

0.3

Terapontidae

0.1

0.0

0.0

0.1

0.1

0.0

0.1

0.0

0.0

0.2

0.1

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.2

0.6

Tetraodontidae

0.2

0.2

0.2

0.1

0.3

0.1

0.0

0.3

0.5

0.0

0.5

0.3

0.4

0.4

0.1

1.0

0.0

0.3

0.1

0.3

Trichiuridae

0.0

0.2

0.2

0.1

0.0

0.0

0.0

0.0

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.3

0.0

0.0

0.0

Triglidae

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.2

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

Unidentified

0.0

0.2

0.5

0.4

0.2

0.6

0.8

0.0

0.8

0.2

0.4

0.3

0.0

0.1

0.1

0.2

0.0

0.3

0.2

0.1

Total in each station

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

 

3                                            FINDINGS

From an analysis of the data recorded in this Ichthyoplankton and Fish Post-Larvae Survey it emerges that fish and fish egg densities recorded for all of the sampling stations are generally low and that there is significant difference in the densities among sites. However, the degrees of difference in densities are small and this ultimately highlights that there is no observable difference between fish or fish egg densities of the waters of the identified spawning/nursery grounds for commercial fisheries of the southern waters of Hong Kong and those of Western Lantau which have not been identified as important spawning/nursery waters.

Seasonal variation was detected as overall fish densities decreased significantly after October and implied that the peak spawning period for most fishes in southern waters of Hong Kong occurred during July to September.

In total, 40 different families have been recorded to date (Table 3.1).  The majority of the fishes included gobies and blennies (the latter consisting mainly of Osmobranchus elegans).  However, the families occurring in highest abundance in summer included: Ambassidae, Engraulidae, Gobiidae and Sciaenidae.  In winter, families occurring in highest densities included Callionymidae, Gobiidae, Scorpaenidae and Syngnathidae (pipefishes).

Table 3.1         Checklist of Fish Families Recorded During the Surveys

N.

Family

Common Name

1

Ambassidae

Glass perch

2

Apogonidae

Cardinalfishes

3

Blenniidae

Blennies

4

Bregmacerotidae

Codlets

5

Bothidae

Lefteye flounder

6

Callionymidae

Dragonets

7

Carangidae

Jacks and trevallies

8

Centrolophidae

Warehou or rudderfish

9

Clupeidae

Herrings

10

Cynoglossidae

Tonguefishes

11

Drepaneidae

Spotted sicklefishes

12

Elopidae

Tenpounder

13

Engraulidae

Anchovies

14

Gerreidae

Silver biddies

15

Gobiidae

Gobies

16

Haemulidae

Grunts

17

Latidae

Barramundi cod

18

Leiognathidae

Ponyfishes

19

Monacanthidae

Leatherjackets or filefishes

20

Mugilidae

Mullets

21

Muraenidae

Moray eels

22

Ophichtidae

Eels

23

Percichthyidae

Basses

24

Platycephalidae

Flatheads

25

Pomacentridae

Damselfishes

26

Scaridae

Parrotfishes

27

Scatophagidae

Drums

28

Sciaenidae

Croakers

29

Scorpaenidae

Rockfishes

30

Sillaginidae

Sillagos or sand borers

31

Soleidae

Soles

32

Sparidae

Snapper

33

Sphyraenidae

Barracudas

34

Synanceiidae

Stonefishes

35

Syngnathidae

Pipefishes and seahorses

36

Synodontidae

Lizardfishes or Bombay ducks

37

Terapontidae

Grunters or tigerperches

38

Tetraodontidae

Pufferfishes

39

Trichiuridae

Cutlassfishes

40

Triglidae

Searobins

Species richness tended to be higher, with maximum 23 to 30 families were found in one station during summer (July-October), but decreased to about maximum 14 to 17 families in one station during winter (November-March).

 

 



([1])   As any potential difference in ichthyoplankton and post larvae diurnal and nocturnal distribution would be expected to peak in the wet season, the need for dry season surveys was decided based on the results collected in the wet season.  As no significant differences were recorded during this period, dry season sampling was not considered necessary.