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Aquaculture & Marine Biology

Research Article Volume 12 Issue 2

Measurement of soil carbon content of Magyi mangrove forest, Mawtin coast

Tin Tin Kyu,1 Chaw Su Lwin,1 Yin Yin Htay2

1Lecturer, Department of Marine Science, Myeik University, Myanmar
2Professor, Department of Marine Science, Pathein University, Myanmar

Correspondence: Tin Tin Kyu, Lecturer, Department of Marine Science, Myeik University, Myanmar

Received: April 24, 2023 | Published: May 4, 2023

Citation: Kyu TT, Lwin CS, Htay YY. Measurement of soil carbon content of Magyi mangrove forest, Mawtin coast. J Aquac Mar Biol. 2023;12(2):86-90. DOI: 10.15406/jamb.2023.12.00360

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Abstract

The survey was carried out at two sites of Magyi mangrove forest in Mawtin Coast; U to Channel and Magyi Channel. The percentages of carbon content were the highest in the mangrove soils of tidal creeks, followed the channel soils. At both sites, the percentage of carbon content ranges in (98.294%-93.538%) and average carbon content at both sites is (96.465%). In some degraded areas, Finlaysonia obovata formed very dense vines that can change the overall ecological balance of the mangrove forest. The mangrove forests are not sustainably managed in Magyi. There were factory and construction sites at U to Channel during the study period. The mangrove forests of Magyi should be protected under a very strict and efficient conservation framework for sustainable development.

Keywords: degradation, Mawtin coast, nearly threatened, species composition, vegetation community

Introduction

Mangrove vegetation plays a very important role within the land and marine carbon cycling,1 where they contribute to ten percent of the total primary production, and twenty percent of the carbon burial within the international coastal zone although they are only 0.7 % of the coastal zones in the world.2 Thus, they play as one of the important environmental roles in describing the alleviation of climate change.3

Mangrove wetlands occupy 834,951 to >137,000 km2 of coastline, supporting ecosystem services for millions of individuals. This loss may be a worldwide issue in which tidal wetlands sequester carbon (C) as persistent biomass in soils. Soil stores two or three times extra carbon than exists in the atmosphere as CO2.4 The formation of forest soil encompasses several ecological processes comprising organic matter production, export, decomposition and sedimentation of inorganic matter. Mangroves constitute efficient sinks of organic carbon (C), nitrogen (N) and essential nutrients, which ensure the high rates of plant growth.1

The objectives of this research are to estimate the percentage of soil carbon content in Magyi mangrove forest, Mawtin Coast, to know the quantitative results of mangrove soil in Magyi, to record the degraded areas of mangrove species and habitat loss in the study area and to highlight why these areas are degrading of the species or habitat loss.

Material and methods

Study area

The study was carried out in Magyi mangrove forest of Mawtin Coast, Ayeyarwady Region, Southwest Myanmar during April 2018. The coverage areas were about 1800 acres or 728.74 ha mangrove stands influenced by two tidal creeks (U To and Magyi Channels) and is inundated twice daily by tides.

Soil sampling and analysis

Ten plots were random set at each channel (Figure 1). Care was taken to collect the soils under mangrove plants, inside an equivalent distance from the seaward edge, tidal creeks and the same micro-topography. Samples were collected by inserting a Polyvinyl Chloride (PVC) tube (4 cm in diameter) cores into the soil to a depth of 1 foot (30.48 cm) (Figure 2A-C). One core was collected under mangrove plants at each plot. At the sampling location, the organic litter and living leaves, if present, are removed from the surface before inserting the corer. The corer was steadily inserted vertically into the soil. While it was inserting, the descent rate of the corer is kept low (e.g., gentle hammering) to minimize core compaction.

Figure 1 Map showing plots of U To (1-10) and Magyi (11-20) Channels in Magyi mangroves, Mawtin Coast (yellow triangle).

Figure 2 Sampling a soil device using a PVC tube; A) Inserting the device to the soil, B) Taking out the soil samples from the soil corer, and C) Collected soil samples.

All the soil samples were put into the black plastic bags immediately and sealed firmly not to introduce the oxygenated air. Then, the samples are labeled in the field to avoid confusion and common mistakes in the sample identification, and write on the label using a permanent marker, and attach the labels using water-resistant tape. Then, all samples were dropped at the laboratory for additional analysis.

Soil samples were analyzed by using SHIMADZU EDX-7000 Energy-Dispersive X-Ray Fluorescence Spectrometer at Chemistry department of West Yangon University, Yangon (Figure 3).

Figure 3 SHIMADZU EDX-7000 Energy-Dispersive X-Ray Fluorescence Spectrometer used to analyze soil samples.

Results and discussion

The quantitative results on analytes of soil samples from 20 plots were described in (Tables 1 & 2) and (Figures 4 & 5). The percentage of carbon contents of all soil samples in two mangrove forests were also illustrated in (Table 3 & Figure 6).

Figure 4 Quantitative results on analysts of soil samples from 10 plots of U To Channel.

Figure 5 Quantitative results on analytes of soil samples from 10 plots of Magyi Channels.

Figure 6 Carbon content (%) of soil samples from each 10 plots of U To and Magyi Channels.

At U to Channel, the carbon content was not found in the soil of the plots 2, 5, 8 and 10 among 10 sample plots. The highest percentage (98.294 %) of carbon content was found in plot 3 while the lowest (93.538 %) was in plot 9. The quantitative results of analytes of soil samples from 10 plots of this site were (9.861%) in Si, (11.289%) in Na, (10.284%) in Cl, (3.799%) in Al, (3.577%) in S, (0.577%) in Mg, (4.402%) in Fe, (0.741%) in K, (0.256%) in P, (0.944%) in Ca, (0.216%) in Ti, (0.015%) in Cr, (0.049%) in Br, (0.038%) in Mn,, (0.015%) in V, (0.032%) in Ni, (0.026%) in Sr, (0.009%) in Rb, (0.007%) in Zn and (0.014%) in Zr, 0.02% in Cu, 0.065% in Ag and 59.82% in plastic respectively. Among them, (0.020 %) in Cu was found only in plot 8, (0.003 %) in Y in plot 5, (0.065 %) in Ag in plot 8, (59.820 %) of plastics in plot 1. However, the soils consisting of O and Mo were not found at this site (Table 1 & Figure 4).

At Magyi Channel, the carbon content was not found in the soil of the plots 4, 6, 7 and 9 among 10 sample plots. The highest percentage (97.264 %) of carbon content was found in plot 3 while the lowest (95.966 %) was in plot 9.

The quantitative results of analytes of soil samples from 10 plots of this site were in (9.936%) in Si, (7.449%) in Na, (9.077%) in Cl, (04.014%) in Al, (4.701%) in S, (0.594%) in Mg, (5.788%) in Fe, (0.868%) in K, (0.581%) in P, (0.546%) in Ca, (0.253%) in Ti, (0.018%) in Cr, (0.026%) in Br, (0.091%) in Mn, (0.013%) in V, (0.018%) in Ni, (0.012%) in Sr, 0.018% in Rb, (0.011%) in Zn, 68.17% in O, 0.021% in Zr, 0.034% in Mo, (0.003%) in Y respectively.

Among them, (0.018 %) in Rb was found in plot 6, (68.173 %) in O in plot 9, (0.034 %) in Mo in plot 6. However, the soils consisting of Ag and plastics were not recorded at Mayi Channel (Table 2 and Figure 5). At both sites, the percentage of carbon content ranges in (98.294%-93.538 %) and average content was (96.465%). The highest percentage of carbon content was found in plot 3 of both sites: (98.294 %) in U To Channel and (97.264 %) in Magyi Channel.

Analytes

 

Results (%)

             

Average

 

P1

P2

P3

P4

P5

P6

P7

P8

P9

P10

 

C

96.797

-

98.294

95.756

-

96.902

97.056

-

93.538

-

96.391

Si

1.71

11.524

0.654

1.36

8.199

1.993

1.692

21.457

1.893

48.131

9.861

Na

0.655

9.268

-

1.421

42.788

-

-

11.02

2.582

-

11.289

Cl

-

6.178

-

0.383

27.984

-

-

16.212

0.665

-

10.284

Al

0.455

4.68

0.331

0.645

3.603

0.688

0.78

10.258

0.896

15.655

3.799

S

0.158

2.445

0.369

0.122

5.619

0.149

0.172

18.576

0.077

8.083

3.577

Mg

0.077

0.821

0.073

0.088

-

0.088

0.116

1.938

0.12

1.874

0.577

Fe

0.074

2.464

0.12

0.12

4.783

0.103

0.11

17.427

0.128

18.694

4.402

K

0.029

0.774

0.03

0.049

0.813

0.047

0.05

1.744

0.065

3.811

0.741

P

0.021

-

-

-

-

0.005

-

-

-

0.743

0.256

Ca

0.014

1.684

0.12

0.035

5.803

0.011

0.007

0.41

0.012

1.344

0.944

Ti

0.008

0.244

0.007

0.015

0.242

0.012

0.014

0.495

0.017

1.114

0.216

Cr

0.001

0.015

-

0.001

-

0.001

0.001

0.046

0.001

0.06

0.015

Br

-

0.025

-

0.001

0.073

-

0.001

0.106

0.001

0.137

0.049

Mn

-

0.013

0.001

0.001

0.021

0.001

-

0.074

0.001

0.199

0.0389

V

-

0.011

-

0.001

0.011

-

0.001

0.028

0.001

0.056

0.015

Ni

-

0.006

-

-

-

-

-

0.05

-

0.04

0.032

Sr

-

0.011

-

-

0.022

-

-

0.025

-

0.048

0.026

Rb

-

0.006

-

-

0.012

-

-

-

-

-

0.009

Zn

-

0.005

-

-

0.009

-

-

-

-

-

0.007

O

-

-

-

-

-

-

-

-

-

-

0

Zr

-

-

-

0.001

0.016

0.001

-

0.049

0.001

-

0.014

Mo

-

-

-

-

-

-

-

-

-

-

0

Cu

-

-

-

-

-

-

-

0.02

-

-

0.02

Y

-

-

-

-

0.003

-

-

-

-

-

0

Ag

-

-

-

-

-

-

-

0.065

-

-

0.065

Plastic

-

59.82

-

-

-

-

-

-

-

-

59.82

Table 1 Quantitative results on analytes of soil samples from 10 plots of U to channel
Symbols C, carbon; Si, silicon; Na, sodium; Cl, chlorine; Al, aluminum; S, sulfur; Mg, magnesium; Fe, iron; K, potassium; P, phosphorus; Ca, calcium; Ti, titanium; Cr, chromium; Br, bromine; Mn, manganese; V, vanadium; Ni, nickel; Sr, Stronium; Rb, rubidium; Zn, zinc; O, oxygen; Zr, zirconium; Mo, molybdenum; Cu, copper; Y, yittrium; Ag, silver

Analytes

Results (%)

               

Average

 

P1

P2

P3

P4

P5

P6

P7

P8

P9

P10

 

C

96.401

96.93

97.264

-

95.966

-

-

96.595

-

96.076

96.534

Si

1.402

1.634

1.784

28.032

1.541

20.467

21.996

1.703

18.595

2.207

9.936

Na

0.881

-

-

10.36

0.946

-

24.616

0.444

-

-

7.449

Cl

0.245

-

-

13.819

0.332

12.51

18.481

-

-

-

9.077

Al

0.561

0.744

0.504

10.887

0.63

8.326

8.975

0.862

7.53

1.119

4.014

S

0.131

0.322

0.143

16.076

0.225

23.348

6.072

0.051

0.505

0.136

4.701

Mg

0.141

0.109

0.1

2.18

0.118

1.332

0.785

0.119

0.939

0.112

0.594

Fe

0.087

0.185

0.093

12.899

0.155

30.156

11.217

0.141

2.717

0.231

5.788

K

0.038

0.054

0.032

3.064

0.048

2.244

2.096

0.055

0.971

0.077

0.868

P

-

-

-

0.609

-

-

0.552

-

-

-

0.581

Ca

0.101

0.007

0.059

0.78

0.019

0.692

3.594

0.009

0.18

0.015

0.546

Ti

0.009

0.012

0.014

0.868

0.013

0.576

0.735

0.014

0.264

0.021

0.253

Cr

0.001

0.001

0.003

0.072

0.001

0.04

0.047

0.001

0.015

0.001

0.018

Br

0.001

0.001

0.001

0.089

0.001

0.067

0.042

-

0.011

-

0.026

Mn

0.001

0.001

0.001

0.063

0.001

0.102

0.671

0.004

0.062

0.001

0.091

V

-

0.001

-

0.036

0.001

0.022

0.033

0.001

0.011

0.001

0.0133

Ni

-

-

-

0.027

0.001

0.032

0.022

-

0.007

-

0.018

Sr

0.001

-

-

0.018

-

0.023

0.016

-

0.004

-

0.012

Rb

-

-

-

-

-

-

0.018

-

-

-

0.018

Zn

-

-

-

-

-

-

0.016

-

0.005

-

0.011

O

-

-

-

-

-

-

-

-

68.173

-

68.17

Zr

0.001

-

0.002

0.103

0.001

0.029

-

-

0.01

0.001

0.021

Mo

-

-

-

-

-

0.034

-

-

-

-

0.034

Cu

-

-

-

0.016

-

-

0.013

-

-

-

0.015

Y

-

-

-

-

-

-

0.004

-

0.002

-

0.003

Ag

-

-

-

-

-

-

-

-

-

-

0

Plastic

-

-

-

-

-

-

-

-

-

-

0

Table 2 Quantitative results on analytes of soil samples from 10 plots of Magyi channel
Symbols C, carbon; Si, silicon; Na, sodium; Cl, chlorine; Al, aluminum; S, sulfur; Mg, magnesium; Fe, iron; K, potassium; P, phosphorus; Ca, calcium; Ti, titanium; Cr, chromium; Br, bromine; Mn, manganese; V, vanadium; Ni, nickel; Sr, Stronium; Rb, rubidium; Zn, zinc; O, oxygen; Zr, zirconium; Mo, molybdenum; Cu, copper; Y, yittrium; Ag, silver

Carbon content (%)

                 

Average

 

P1

P2

P3

P4

P5

P6

P7

P8

P9

P10

 

U To

96.797

-

98.294

95.756

-

96.902

97.056

-

93.538

-

96.3905

Magyi

96.401

96.93

97.264

-

95.966

-

-

96.595

-

96.076

96.53867

Table 3 Carbon content (%) of soil samples from 10 plots of U To and Magyi channels

The current study showed that the carbon in mangrove soil was not found at all plots during the study period, but the percentage of carbon content was over 90% at the two sites. The percentage of carbon content at U To Channel was higher than the content of Magyi Channel. The mangroves of U To Channel are more mature and larger than those of Magyi Channel. Forrester et al.,5 stated that mature forest would have larger vegetation biomass and greater net productivity, as well as more plant litter and dead root input as organic matter for the soil, which would explain the carbon-rich thick sediment formed in the 0-50 cm soil layers. Moreover, Holguin et al.,6 reported that mangrove forests possess efficient sinks for organic C, and even essential nutrients to increase the rate of plant growth.

The contents of soil carbon were different in plots of these sites which have different species composition during the study period. Sherman et al.,7 examined that the dynamics and distribution of the content of soil organic carbon in mangroves may be different due to species composition, sedimentation, tide, the biomass of vegetation and productivity. Also, Zhang et al.,8 investigated that the organic carbon content of soil sediment is affected by the spatial variation of forests with coastal areas.

According to the researches of carbon, mangrove forests are now a new market for carbon trading. Zakaria et al.,9 reported that the importance of mangrove forests has been highlighted as a carbon sink by several studies and publications. Besides, they also recorded that the season is one of the important roles in storing carbon in the soil. They reported that carbon contents were higher in the dry season than the wet season, concurred by the current research which was also conducted in April (the wet season).

Some plants of Magyi mangrove forests are mature mangrove plants, but most are not very tall plants. It may be that local people may use mangrove plants for their household uses. Alongi1 stated that carbon payment must not depend on the size of carbon stocks and species diversity, but on carbon sequestration rate. The mature forest can gain more carbon sequestration rate than rehabilitated forests, thus conservation by preserving the mangrove intact and minimal use is the key.

The decreasing of the mature mangrove forests showed the rapid colonization of vines and mangrove associated species. There are very dense forms of the vine Finlaysonia obovata that prevents the recolonization of those areas by the propagules of true mangrove species (Bruguiera, Ceriops, Rhizophora spp, etc), changing the overall ecological balance of the forest. This vine is growing on some mature remaining trees, strangling them and shading their leaves.

The Magyi mangrove forests are not sustainably managed. Some areas are degrading deeply because villagers near the sites seem to use mangrove plants for their household uses, firewood, charcoals, etc. In U To Channel, there were factory and industrial areas, which may impact some mangrove forests and water quality. Thus the mangroves in Magyi should be protected under a strict and efficient conservation framework for sustainable development.

Conclusion

The current study discovered that the contents of soil carbon in mangroves were not investigated at all plots of the two sites. However, the carbon content of all sampled soils was very high (over 90 %). The carbon gathered from both undisturbed and degraded areas showed that they were both capable of storing a high amount of carbon. The contents of carbon were the highest in the mangrove soils of tidal creeks, followed by the channel soils validating the other research that differences in hydrology and autochthonous production versus allochthonous input can have intense effects on carbon sequestration in tidal mangrove wetlands. However, this study only sampled 1 foot (30.48 cm) deep soil, which could be quite shallow and therefore, the results expressed here could be underestimated compared to the other studies.

Acknowledgments

We are indebted to former Rector Dr. Ni Ni Oo and current Rector Dr. Win Win, Myeik University, for their encouragement throughout this research. We are grateful to former Professor Dr. Nyo Nyo Tun and current Professor Dr. Cherry Aung, Head of Department of Marine Science, Myeik University, for her kind support, encouragement and valuable advice. We would like to express our great gratitude to the Woodside Energy (Myanmar) Pte Ltd for the “Mawtin Coast Small Grant Programme”, under a joint project with Fauna and Flora International (FFI) and the Woodside Energy Ltd, for funding this research project.

Conflicts of interest

None.

References

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