Biodiversity Data Journal :
Data Paper (Biosciences)
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Corresponding author: Dmitriy G Seleznev (dmitriy@seleznev.name)
Academic editor: Yasen Mutafchiev
Received: 21 Apr 2023 | Accepted: 13 Oct 2023 | Published: 24 Oct 2023
© 2023 Dmitriy Seleznev, Cu Nguyen Dinh, Truong Ba Hai, Evgeniia Karpova, Duong Thi Kim Chi, Dmitriy Kosolapov, Natalya Kosolapova, Mikhail Malin, Inga Malina, Le Quang Man, Alexander Prokin, Irina Prusova, Andrey Sharov, Svetlana Statkevich, Alexander Tsvetkov, Yuriy Udodenko, Viktor Zakonnov, Svetlana Zhdanova, Alexander Krylov, Alexei V. Tiunov
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Seleznev DG, Dinh CN, Hai TB, Karpova EP, Kim Chi DT, Kosolapov DB, Kosolapova NG, Malin MI, Malina IP, Man LQ, Prokin AA, Prusova IYu, Sharov AN, Statkevich SV, Tsvetkov AI, Udodenko YG, Zakonnov VV, Zhdanova SM, Krylov AV, Tiunov AV (2023) Biodiversity of aquatic organisms in the Mekong Delta, Vietnam. Biodiversity Data Journal 11: e105314. https://doi.org/10.3897/BDJ.11.e105314
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The Mekong River is the 10th largest river in the world. It is recognised as the most productive river in Southeast Asia and economically essential to the region, with an estimated 60-65 million people living in the lower Mekong Basin. The Mekong Delta within Vietnam is considered a highly vulnerable ecosystem under threat from increasing anthropogenic pressure, such as dam construction and, as a consequence, the Delta is sinking and altering the natural hydrological cycle. Dams also lead to eutrophication and pollution of downstream water from regulated water flux and water stagnation. Another threat is climate change coupled with the lower rainfall, which could lead to an increased risk of drought in the Mekong Delta Basin. Thus, these project data represent an important baseline reference. The ecological health of the Mekong Delta’s environment, as indicated by the quality and availability of its water and biological resources, largely determines the economic and social development of the region, which produces about half of the agriculture and aquaculture products of Vietnam.
This paper reports quantitative data on the biodiversity of six groups of aquatic organisms: bottom and pelagic fish, macrozoobenthos, microorganisms, phyto- and zooplankton in the Mekong Delta within Vietnam, as well as data on the physicochemical parameters of water and bottom sediments. The data were collected during 2018-2022 as part of the Ecolan E-3.4 programme within the framework of the research plan of the Joint Russian-Vietnamese Tropical Research and Technological Center. All presented datasets are published for the first time.
database, Mekong Delta, southern Vietnam, aquatic organisms, macrozoobenthos, phytoplankton, zooplankton, microorganisms, fish, hydrology, bottom sediments
The Mekong River is the main waterway of the Indochina Peninsula and is heavily relied on as the core resource for sustainable socio-economic development for most of the countries located in its densely populated Basin. While the Mekong Delta makes up only about 12% of the territory of Vietnam, it annually accounts for about 55% of its rice production, 70% of aquaculture production and more than 50% of fishery production (
This is a comprehensive study of the biodiversity of the Mekong River's lower reaches under changing environmental conditions. We present data concerning:
The work was carried out according to the research plan of the Joint Russian-Vietnamese Tropical Research and Technological Center (Tropical Center). The Tropical Center is a large multidisciplinary institution that conducts long-term research aimed at studying the structure and functioning of natural and transformed tropical ecosystems.
Ecosystem of the Mekong River in the context of global climate change and anthropogenic impact
Alexander I. Tsvetkov - stations hydrological data, Evgeniya P. Karpova and Svetlana N. Statkevich - bottom trawls hydrological data, bottom fish data, Yuriy G. Udodenko and Viktor V. Zakonnov - bottom sediments data, Alexander A. Prokin and Alexander I. Tsvetkov - macrozoobenthos data, Andrey N. Sharov - phytoplankton data, Dmitriy B. Kosolapov and Natalya G. Kosolapova - microorganisms data, Mikhail I. Malin and Inga P. Malina - pelagic trawls parameters and pelagic fish data, Svetlana M. Zhdanova and Irina Yu. Prusova - zooplankton data, Cu Nguyen Dinh, Truong Ba Hai, Le Quang Man, Duong Thi Kim Chi - investigation and resources, Dmitriy G Seleznev - data curation and text writing, Alexander V. Krylov and Alexei V. Tiunov - supervision.
The main funding was obtained via the Joint Vietnamese-Russian Tropical Research and Technological Center (Ecolan E-3.4 topic). Additional funding was obtained from the Ministry of Science and Higher Education of the Russian Federation (projects no. 121051100109-1, 121030100028-0, 121051100102-2, 121051100099-5 and 121051100104-6).
A total of 926 water samples were taken to measure hydrological water parameters, while 70 bottom sediments, 36 macrozoobenthos, 35 phytoplankton, 50 microorganism and 73 zooplankton samples were taken from 89 static sampling points. For trawling samples, a total of 535 samples of fish and water (for additional hydrological parameter measurements) were taken by bottom trawling, while 232 samples of fish were taken by pelagic trawling (see summary in Table
Summary of sampling effort to measure water hydrological parameters and biodiversity in the Mekong Delta, Vietnam. Samples were taken from 89 static sampling points unless otherwise stated (e.g. by bottom or pelagic trawling).
Assessment and taxonomic coverage |
No. Observations |
No. Samples |
Collector(s) |
Time of sampling |
Filename |
Water hydrological parameters |
7839 |
926 |
Alexander I. Tsvetkov |
December and April 2018, December 2019 |
Suppl. material |
Bottom trawls hydrological parameters |
4709 |
535 (from bottom trawling) |
Evgeniya P. Karpova and Irina U. Prusova |
2018-2021 (Secchi disk Feb – June 2020) |
Suppl. material |
Bottom fish |
~ 88,000 |
535 (from bottom trawling) |
Evgeniya P. Karpova and Svetlana N. Statkevich |
2018-2021 |
Suppl. material |
Bottom sediments |
770 |
70 |
Yuriy G. Udodenko and Viktor V. Zakonnov |
2019 |
Suppl. material |
Macrozoobenthos |
236 |
36 |
Alexander A. Prokin and Alexander I. Tsvetkov |
April and December 2019 |
Suppl. material |
Phytoplankton |
389 |
35 |
Andrey N. Sharov |
December 2018 |
Suppl. material |
Microorganisms |
1545 |
50 |
Dmitriy B. Kosolapov and Natalya G. Kosolapova |
December 2018 |
Suppl. material |
Zooplankton |
1471 |
73 |
Svetlana M. Zhdanova and Irina Yu. Prusova |
December 2018 and April 2019 |
Suppl. material |
Pelagic fish assemblage |
~ 46,000 |
232 (from pelagic trawling) |
Mikhail I. Malin and Inga P. Malina |
2019-2022 |
Suppl. material |
Water hydrological parameters measurements.
Water parameters (temperature, oxygen content and saturation, electrical conductivity, total salt content, salinity) were measured using a YSI ProPlus multi-parameter sonde (YSI Inc. USA) over the entire water column with a resolution of 1 m. Turbidity at surface horizons was determined using a Hach 2000P Portable Turbidimeter (Hach Inc. USA) according to standard methods. pH and redox potential were determined in the surface water layer using a Hanna HI 98121 hand probe (Hanna Instruments, USA). The flow velocity of the surface water was measured using a microcomputer speedometer-flowmeter MKRS (GVMNPP VODKOSMOS, Belarus), as well as using the Global Water Flow Probe - FP211 (YSI Inc. USA).
Bottom trawls hydrological parameter measurements.
Various physicochemical measurements were carried out at all sampling sites. Water samples for analysis were taken using a bathometer. The measurements were carried out at the end of trawling. A TDS-3 multimeter (HM Digital, Inc.) and a PAL-06S refractometer (ATAGO Co, Ltd.) were used for measuring water salinity. Subsequently, using a HANNA HI 9146-04 oximeter, a HI-9813-6 pH/EC/TDS/°C multimeter and a YSI ProPlus (YSI Inc. USA) multi-parameter probe, the content of dissolved oxygen, pH, electroconductivity and total dissolved solids were measured in the surface and near-bottom horizons. In February–June 2020, water transparency was additionally measured using a Secchi disk.
Bottom fish assessment.
Catching fish was carried out using a standard fishing trawl with a metal frame. The width of the trawl frame was 4 m and the height was 0.4 m. The length of the trawl bag was 12 m and the mesh size was 10 mm. The trawl was towed along the bottom from a motorised fishing boat. During trawling, their duration was noted. The coordinates of the beginning and end of the work were determined using GPS. Based on these data, the average trawling speed was determined. Using a Garmin STRIKER echo sounder, the average depth of each haul was determined.
After the trawl was lifted on to the deck of the boat, the catch was analysed and fish were separated. Animals were placed in coolers with ice and further studies were carried out under laboratory conditions. For fish, taxonomic affiliation was established at the family level (
The mass of macroplastic fragments and plant substrate was determined in the composition of trawl catches. To do this, these components were manually removed from the trawl, washed with water, dried and weighed on a calibrated balance.
Bottom sediments assessment.
Samples of surface layer sediments (0–5 cm) were taken in December 2018 and April 2019 using a gravity-type corer. Three subsamples were collected at each site, mixed and placed in plastic bags pre-washed with 10% nitric acid. During sampling, the outermost layer of the sediments was discarded to avoid possible contamination from the sampler. Before analysis, samples were air-dried at room temperature, ground in a porcelain mortar and passed through a 1-mm sieve. Grain size determination was performed using an electromagnetic sieving analyser (Alfred Fritsch & CO, Germany) and wet sieving through sieves of different diameters. Organic matter content was determined as loss of ignition: 2 g samples were placed in an oven and heated to 600°C. The total mercury concentration was determined by pyrolysis using direct thermal decomposition atomic absorption spectrometry (RА-915, Lumex, Russia) using a pyrolytic attachment PYRO. This method of analysis does not require additional chemical preparation of samples.
Macrozoobenthos assessment.
Macrozoobenthos was sampled with a Petit Poinar Grab, All 316 (producer: Wildlife Supply Company, capture area 0.023 m2; two liftings of sediments). Sediments were filtered through a sieve with a mesh size of 200 × 200 μm and all macroinvertebrates were preserved in 96% alcohol immediately on the boat. The fresh weight of specimens was determined after the removal of surface moisture (drying on a filter paper until wet spots disappeared) in a laboratory using a WT-100 torsion balance (weighing accuracy of 0.1 mg). Invertebrates were determined using several keys and taxonomic revisions (
Phytoplankton assessment.
The research was conducted in December (at the beginning of the dry season) of 2018 in three tributaries of the Mekong Delta: Ham Luong, Co Chien and Hau or Bassac. The samples were collected from the upper horizon using Rutner's bathometer. The water samples were preserved with 1% Lugol’s solution and concentrated using direct filtration with low pressure one after another through membrane filters of 5 μm diameter and then filters of 1.2 μm diameter. Phytoplankton cells in each sample were counted and identified to species level using a Nageotte chamber (0.02 ml) under an optical microscope BiOptic B-200 (BiOptic Russia, Moscow) at 400× and 600× magnification. The phytoplankton found was verified in the AlgaeBase (
Microorganisms assessment.
Water was taken from the surface layer of the river using a Van Dorn sampler and immediately placed into 60 ml sterile plastic vials. Water samples were fixed with 40% formaldehyde to a final concentration of 2%, stored in the dark at 4°C and processed in the laboratory for 2 months.
The abundance and size of bacteria, picoplankton, heterotrophic and phototrophic flagellates were determined by epifluorescence microscopy using an Olympus BX51 microscope (Japan) with an image analysis system at a magnification of 1000 times (
Heterotrophic flagellates were identified to species or genus in non-fixed water samples using phase-contrast microscopy and an image analysis system. The detected flagellates were diagnosed by morphological characters and features of their behaviour (
Zooplankton assessment.
Zooplankton (Rotifera, Cladocera and Copepoda, larvae of Mollusca) samples were taken by a modified weighted Juday net (inlet diameter 0.18 m, 64 μm mesh size) completely from the bottom to the water surface. In the areas with strong flow, 47.5–100 l of water were filtered through the net. All samples were immediately fixed in 4% formalin. The volume of subsamples was 1–4 ml (from 50 or 100 ml samples). In cases the density of specimens was low, the zooplankton counted in the whole samples. The metazoan zooplankters were identified and counted using a stereomicroscope (Micromed MC-2 Zoom, Russia) with 40x magnification and a Bogorov counting chamber. The zooplankton specimens were identified to the lowest taxonomic level possible using a microscope (Biomed 1, Russia). Species were identified according to
Pelagic fish assemblage composition assessment with a mid-water trawl.
Fish samples were collected using a mid-water trawl with a 12 m horizontal opening and 8 mm mesh size in the codend. The trawl was suspended in the water with the floats attached to the trawl doors by bridles. The selection of sampling layers was accomplished by adjusting the bridle length from 1 to 7 m. The trawl was towed for approximately 20 min at each sampling site. Effort features (geographic coordinates of trawling start and finish; vessel speed; trawled distance; minimal, maximal and mean bottom depth values) were documented from recordings of an echosounder “Simrad EK80” (Kongsberg Maritime, Norway) interfaced with a satellite navigation receiver. Catch was weighed, sorted and counted onboard. Identification of fish families was made using common taxonomic keys (
Static samples from 89 locations were taken on the Tien branch from the City of Vinh Long and on the Hau branch from the City of Tra On, to the confluence of the branches into the East Vietnamese Sea. Bottom and pelagic trawling were conducted in the Mekong Delta from the Cambodian border to the mouth of the river (Fig.
These data describe the geographical position of the static sampling stations as well as the dated physicochemical parameters of water at different depths. In total, 89 stations were studied. This dataset will be useful for analysing samples taken at these stations. The dataset is in Suppl. material
Column label | Column description |
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Station | Station number. |
Waterbody | River and branch name. |
Latitude | Latitude. |
Longitude | Longitude. |
Position | Position in watercourse: right ripal, medial or left ripal. The term «ripal» is used for riparian (shore) part of the river. |
Dist2mouth | Distance to mouth, km. |
Datetime | Date and time of sampling. |
Depth | Depth, m. |
T | Temperature, C. |
DOX | Dissolved oxygen, mg/l. |
DOXS | Dissolved oxygen saturation, %. |
Cond | Conductivity, μS/cm. |
SCond | Specific conductance 25 C, μS/cm. |
TDS | Total dissolved solids, mg/l. |
Sal | Salinity, ppt. |
Dens | Density. |
Turb | Turbidity, NTU. |
Vel | Current speed, m/sec. |
pH | pH. |
Trans | Transparency, m. |
ORP | Oxidation reduction potential, mV. |
These data describe spatial and temporal characteristics of 535 bottom trawls as well as the hydrological parameters of water at trawling points. This dataset will be useful for analysing the benthic fish data. The dataset is in Suppl. material
Column label | Column description |
---|---|
Trawl | Trawling name code. |
Waterbody | River and branch name. |
SLatitude | Trawling start latitude. |
SLongitude | Trawling start longitude. |
ELatitude | Trawling end latitude. |
ELongitude | Trawling end longitude. |
Length | Trawling length, m. |
Datetime | Trawling date and start time. |
Depth | Trawling mean depth, m. |
TSpeed | Trawling speed, m/min. |
TDuration | Trawlng duration, min. |
s.T | Surface temperature, C. |
b.T | Bottom temperature, C. |
s.S | Surface salinity, per mille. |
b.S | Bottom salinity, per mille. |
s.DOX | Surface dissolved oxygen, mg/l. |
b.DOX | Bottom dissolved oxygen, mg/l. |
s.DOXS | Surface dissolved oxygen saturation, %. |
b.DOXS | Bottom dissolved oxygen saturation, %. |
s.SPS | Surface specific conductance 25 C, µS/cm. |
b.SPS | Bottom specific conductance 25 C, µS/cm. |
s.TDS | Surface total dissolved solids, mg/l. |
b.TDS | Bottom total dissolved solids, mg/l. |
s.pH | Surface pH. |
b.pH | Bottom pH. |
Trans | Transparency, cm. |
PlastD | Macroplastic debris, kg. |
PlantD | Plant debris, kg. |
These data describe bottom trawl catches represented by abundance and biomass of 49 fish families belonging to 19 orders of classes Chondrichthyes and Actinopterygii. Taxonomic membership of ~ 88,000 fish individuals from 535 trawls were identified at the family level. The dataset is in Suppl. material
Column label | Column description |
---|---|
Trawl | Trawl name code. |
Waterbody | River and branch name. |
Depth | Depth, m. |
Datetime | Sampling date and time. |
Taxa | Taxa name. |
Number | Number, ind. |
Biomass | Biomass, g. |
These data describe the size and type of bottom sediments as well as total organic matter content and mercury concentration at 70 stations. The dataset is in Suppl. material
Column label | Column description |
---|---|
Station | Station number. |
Period | Sampling period. |
Depth | Depth, m. |
Sed1 | Sediments fraction 1.0 - 0.5 mm, %. |
Sed2 | Sediments fraction 0.5 - 0.1 mm, %. |
Sed3 | Sediments fraction 0.1 - 0.05 mm, %. |
Sed4 | Sediments fraction 0.05 - 0.01 mm, %. |
Sed5 | Sediments fraction < 0.01 mm, %. |
Gravel | Gravel fraction > 1.0 mm, %. |
Sand | Sand fraction 10 - 0.05 mm, %. |
Clay | Silt and clay fraction < 0.05 mm, %. |
mean_D | Mean fraction diameter, mm. |
TOM | Total organic matter, %. |
Hg | Hg, mg/kg. |
These data describe abundance and biomass of benthic invertebrates of five phyla: Annelida, Arthropoda, Nemertini, Echinodermata and Mollusca. In total, 56 species were identified at 29 stations. The dataset is in Suppl. material
Column label | Column description |
---|---|
Station | Station number. |
Waterbody | River and branch name. |
Depth | Depth, m. |
Period | Sampling period. |
Phylum | Phylum name. |
Taxa | Taxa name. |
Number | Number, ind/m2. |
Biomass | Biomass, g/m2. |
These data describe the biomass of six groups of phytoplankton: Cyanobacteria, Cryptophyta, Dinophyta, golden, green and diatom algae at 35 stations. The total phytoplankton abundance at the stations is also provided. The dataset is in Suppl. material
Column label | Column description |
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Station | Station number. |
Waterbody | River and branch name. |
Taxa | Taxa name. |
Biomass | Biomass, mg/l. |
Abundance | Abundance, 103 cells/l. |
These data describe cell abundance, mean cell volume, biomass and carbon biomass of bacteria, picophytoplankton, phototrophic and heterotrophic nanoflagellates. In total, 50 stations were sampled. The dataset is in Suppl. material
Column label | Column description |
---|---|
Station | Station numberю. |
Waterbody | River and branch name. |
Depth | Depth, m. |
Taxa | Taxa name. |
Abundance | Cells abundance, 103 cell/ml. |
Biomass | Biomass, mg/m3. |
C.Volume | Mean cell volume, μm3. |
C.Biomass | Carbon biomass, mgС/m3. |
These data describe the biomass and total abundance of five groups of zooplankton: Rotifera, Cladocera, Copepoda and veligers of Gastropoda and Bivalvia at 73 stations. The dataset is in Suppl. material
Column label | Column description |
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Station | Station number. |
Waterbody | River and branch name. |
Period | Sampling period. |
Taxa | Taxa name. |
Number | Nunber, ind/m3. |
Biomass | Biomass, mg/m3. |
These data describe the spatial and temporal characteristics from 232 trawls, as well as trawl catches represented by absolute and relative abundance of 36 fish families belonging to 13 orders of the infraclass Teleostei. The taxonomic membership of ~ 46,000 fish individuals was identified at the family level. The dataset is in Suppl. material
Column label | Column description |
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Trawl | Trawl name code. |
Waterbody | River and branch name. |
Datetime | Trawling date and start time. |
SLatitude | Trawl start latitude. |
SLongitude | Trawl start longitude. |
ELatitude | Trawl end latitude. |
ELongitude | Trawl end longitude. |
TDuration | Trawl duration, min. |
Depth_mean | Mean depth, m. |
Depth_min | Minimum depth, m. |
Depth_max | Maximum depth, m. |
Bridles | Bridles, m. |
Taxa | Taxa name. |
Number | Number, ind. |
RNumber | Relative number, ind/h. |
Prokin A.A. and Tsvetkov A.I. are grateful for the help in species determination of Mollusca to Yuri I. Kantor (A.N. Severtsov Institute of Ecology and Evolution RAS, Moscow) and Yasunori Kano (University of Tokyo), Amphipoda – Koraon Wongkamhaeng (Kasetsart University, Bangkok), Polychaeta – Igor A. Zhirkov (Lomonosov Moscow State University), Brachyura, Pinnotheridae – Jiri Patoka (Czech University of Life Sciences, Prague). Jacob D. Wickham (A.N. Severtsov Institute of Ecology and Evolution RAS, Moscow) kindly improved the English of the advanced draft. The authors express their sincere gratitude to numerous colleagues from the Joint Vietnamese-Russian Tropical Research and Technological Centre for their support in field and laboratory studies.
Static stations physicochemical parameters.
Bottom trawls hydrological parameters.
Bottom fish families abundance and biomass.
Bottom sediment data.
Benthic invertebrates abundance and biomass.
Phytoplankton biomass and total abundance.
Microorganisms quantitative data.
Zooplankton biomass and total abundance.
Pelagic tawls characteristics and fish families abundance.