
Comparing atmospheric trace element accumulation of three moss species
- Nhatrang Institute of Technology Research and Application, VAST, Vietnam
- Institute of Physics of Vietnamese Academy of Science and Technology, Hanoi, Vietnam
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna, Russia
- Dalat University, Dalat, Vietnam
Abstract
Introduction: The intention of Vietnam to participate in the European-Asian Moss Survey in the framework of The United Nations Economic Commission for Europe - International Cooperative Programme on effects of air pollution on natural vegetation and crops (UNECE ICP Vegetation) necessitates choosing appropriate moss species that grow in the tropical and subtropical climate of Vietnam. The three selected moss species, divided into phytogeographical elements, were as follows: Leucobryum (aduncum, albidum), Hypnum commutatum and Barbula indica.
Methods: The present study focuses on Central Vietnam where 18 samples of the three above moss species were collected in the vicinity of Dalat and Hue cities. Elements in the moss samples were detected by neutron activation analysis (NAA) at the IBR-2 reactor of the Division of Neutron Activation Analysis, Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research in Dubna, Russia.
Results: The analytical results for twenty-three trace elements, which were used to study elemental accumulation abilities of the three moss species in the air, were Na, Mg, Al, Cl, K, Ca, Ti, V, Mn, Fe, Co, Zn, As, Br, Rb, Sr, Sb, I, Cs, Ba, La, Th, and U. The accumulation abilities were found to decrease in the following order: Leucobryum > Hypnum > Barbula. However, Leucobryum, because of its short stem, was not judged to be a suitable candidate for biomonitoring.
Conclusion: The element accumulation abilities of Hypnum moss were better than those for Barbula, but both were comparable and could be used as indicators for air deposition monitoring; however, Hypnum was not widely present in Vietnam. Thus, Barbula indica moss could be used for performance of atmospheric deposition monitoring in Vietnam.
Introduction
With rapid industrialization and a booming population, the environment in Vietnam has become seriously degraded in recent years1, 2. The pilot study of Nguyen Viet .3 in the north of Vietnam found the moss technique to be an effective method to monitor metal air deposition. Three moss species are commonly recommended: and These species are used for heavy element deposition monitoring in Europe. In addition, the moss has been widely used2. However, the above-mentioned moss species are rarely found in Asia. Instead, other mosses, such as and , have been used in Asian studies3, 4, 5, 6, 7.
Generally, moss does not grow everywhere in Vietnam, and in many areas of the country, moss sites that strictly meet the recommendations for atmospheric deposition monitoring8 can rarely be found. In our work, an attempt was made to compare three candidate moss species to study atmospheric deposition of heavy elements in Central Vietnam. The goal of this study was to find moss species growing widely in the special climate of Vietnam, which have good element accumulation abilities. Elemental concentrations were determined in 18 samples of three widespread mosses, and , which were collected in Dalat and Hue. The elemental concentrations were then used to assess their element accumulation abilities.
Materials and Methods
SAMPLING AREAS
Hue (16.80ºN, 108.20ºE), with an area of roughly 84 km², is a city in Thua Thien Hue province, located in the middle of Vietnam and situated on the Perfume River. The average elevation of the city is 3-4 meters above sea level. The region features a narrow coastal strip of land abutting the Truong Son Mountains. It has a tropical monsoon climate.
Dalat (11.56 ºN, 108.27 ºE), with an area of about 390 km², is a city in Lam Dong province in the Central Highlands of Vietnam, and situated at an elevation of 1500 meters above sea level. Dalat is considered a temperate region because of the effects of elevation and forest cover.
The two seasons (dry and rainy) in these areas occur at different times of the year because of their different geographical features. The rainy season in Dalat is from May to October, but in Hue it is from August to January.
SAMPLING AND MOSS SPECIES
The moss collection was carried out at the end of the rainy season in Dalat and Hue. To minimize the influence of the substrate, moss was collected from tree trunks at least 1.5 m above the ground and only the top, green part was used for analysis. The two sample groups (Dalat and Hue) were treated differently. The Dalat group was washed three times with distilled water to remove the substrate influence, but the Hue group was not washed. Using both washed and unwashed moss allows us to detect the influence of the heavy element deposition that covers the moss surface area.
In the Dalat area, seven moss samples (four and three ) were collected. In the Hue area, eleven moss samples (five , two and four ) were collected. The three moss species have distinctive morphologies, as shown in Figure 1.

Side-view and top-view pictures of the three moss species. Hypnum usually grows in acidic environments, such as on tree trunks, walls, rocks and logs. Hypnum is about 2-10 cm tall, which is considered a small- to medium-sized moss.
commonly ranges from 1-3 cm high and, though rarely, can grow up to 5 cm. Leaves are ovate to ovate-lanceolate, and the plant is green to brownish-green in color.
is a large genus of mostly tropical mosses that grow as compact cushions. The stem of is less than 1 cm tall. is similar to but is usually taller. is the most abundant of the two species, and seems inappropriate for biomonitoring because of its short stem (only about 0.5 cm long).
METHODS
Neutron Activation Analysis was conducted at the Neutron Activation Analysis Division of the Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna, Russia9. For short-term irradiation, about 0.3 g dry weight of moss sample was heat-sealed in polyethylene foil bags. For long-term irradiation, the moss samples were packed in aluminum cups. Samples were irradiated in channels equipped with a pneumatic system in the pulsed fast reactor IBR-2 at the Frank Laboratory of Neutron Physics. To determine short-lived isotopes, samples were irradiated for 3 min at channel 2 and then measured for 15 min after 3-5 min of decay. Long-lived isotopes were determined using the Cd-screened channel 1. These samples were irradiated for 2.5 days and then re-packed after 3 days of decay. They were measured two times: the first time for 30 minutes just after the re-packaging; the second time was for 1.5 hours after 20 days of decay. Sample gamma spectra were obtained by measuring with a Germanium (Lithium) Detector with a resolution of 2.5 – 3 keV for the Co 1,332 keV line, or a HPGe detector with a resolution of 1.9 KeV for the Co 1,332 keV line.
Data processing was conducted using software10 developed at Frank Laboratory of Neutron Physics. Element concentrations were determined on the basis of certified reference materials and flux comparators. To maintain quality control, the contents of elements yielding short- and long-lived isotopes were measured using a collection of certified reference materials from the International Atomic Energy Agency (IAEA) and the United States National Institute of Standards and Technology (NIST).
RESULTS
Mosses obtain nutrients directly from atmospheric deposition because they lack a cuticle and a root system. Consequently, element accumulations in moss reflect atmospheric concentrations. However, the ability to accumulate elements in moss tissue can differ among species.
Median element concentrations of mosses collected in Dalat and Hue (mg × kg-1)
Element |
Dalat (washed moss) |
|
Hue (unwashed moss) | ||||
Hypnum (mg×kg-1) |
Leucobryum (mg×kg-1) |
Error (%) |
Hypnum (mg×kg-1) |
Leucobryum (mg×kg-1) |
Barbula (mg×kg-1) |
Error (%) | |
Na |
190 |
430 |
6 |
500 |
530 |
400 |
4 |
Mg |
1100 |
300 |
4 |
2860 |
1730 |
1310 |
4 |
Al |
630 |
1090 |
2 |
4300 |
7900 |
2900 |
2 |
Cl |
60 |
110 |
10 |
380 |
500 |
500 |
10 |
K |
4800 |
1900 |
10 |
12000 |
17200 |
11700 |
10 |
Ca |
14600 |
1100 |
6 |
13600 |
5300 |
9000 |
6 |
Ti |
20 |
40 |
18 |
280 |
500 |
400 |
18 |
V |
0.79 |
0.87 |
6 |
6.4 |
11.0 |
5.3 |
6 |
Mn |
32 |
15 |
5 |
123 |
48 |
89 |
5 |
Fe |
900 |
1400 |
13 |
2200 |
3100 |
1200 |
10 |
Co |
0.45 |
0.65 |
13 |
0.75 |
0.90 |
0.40 |
11 |
Zn |
55 |
35 |
12 |
120 |
80 |
120 |
8 |
As |
0.70 |
1.25 |
8 |
1.90 |
3.60 |
1.10 |
4 |
Br |
9 |
8 |
11 |
13 |
10 |
6 |
11 |
Rb |
16 |
14 |
25 |
23 |
30 |
11 |
18 |
Sr |
67 |
< 15 |
13 |
29 |
39 |
18 |
15 |
Sb |
<0.05 |
0.20 |
25 |
0.90 |
0.80 |
1.30 |
9 |
I |
2.8 |
1.8 |
15 |
16 |
7 |
7 |
15 |
Cs |
0.50 |
0.30 |
12 |
0.55 |
0.90 |
0.20 |
7 |
Ba |
44 |
< 18 |
10 |
49 |
72 |
25 |
8 |
La |
0.6 |
1.3 |
12 |
2.6 |
5.2 |
1.2 |
7 |
Th |
0.35 |
1.00 |
7 |
1.15 |
2.50 |
0.50 |
4 |
U |
0.10 |
0.23 |
10 |
0.36 |
0.50 |
0.14 |
6 |
Mean element concentration ratios of moss pairs in Dalat and Hue
Element |
Dalat |
|
Hue | |
H/L |
H/L |
B/L |
H/B | |
K |
2.5 |
0.7 |
0.7 |
1.0 |
Ca |
13.3 |
2.6 |
1.7 |
1.5 |
Mg |
3.7 |
1.7 |
0.8 |
2.2 |
Fe |
0.6 |
0.7 |
0.4 |
1.8 |
Mn |
2.2 |
2.6 |
1.9 |
1.4 |
Zn |
1.6 |
1.5 |
1.5 |
1.0 |
Cl |
0.5 |
0.8 |
1.0 |
0.8 |
Na |
0.4 |
0.9 |
0.8 |
1.3 |
Al |
0.6 |
0.5 |
0.4 |
1.5 |
V |
0.9 |
0.6 |
0.5 |
1.2 |
Co |
0.7 |
0.8 |
0.4 |
1.9 |
As |
0.6 |
0.5 |
0.3 |
1.7 |
Br |
1.1 |
1.2 |
0.6 |
2.0 |
Rb |
1.1 |
0.7 |
0.4 |
2.0 |
Sr |
4.4 |
0.7 |
0.5 |
1.6 |
I |
1.6 |
2.1 |
0.9 |
2.3 |
Cs |
1.7 |
0.6 |
0.2 |
2.8 |
Ba |
3.0 |
0.7 |
0.3 |
1.9 |
La |
0.5 |
0.5 |
0.2 |
2.2 |
Th |
0.4 |
0.5 |
0.2 |
2.3 |
U |
0.4 |
0.7 |
0.3 |
2.6 |
These data only show trends in element accumulation ability for these moss species. The calculated ratios cannot be used as recalibration factors for air deposition surveys using these moss types for the following reasons: only a small number of samples was used to calculate the factors, the samples were collected in urban and non-urban areas, the sampling did not always strictly follow the recommended procedures, and there considerable differences in morphology of these mosses which could cause great differences of element accumulation.
DISCUSSION
and mosses were used in biomonitoring in European countries,11 such as in Norway12, Switzerland13; and those in northern Europe14. However, the first announcement about the moss technology in Northern Vietnam3 (Ha Noi and Thai Nguyen) was the use of moss. We have analyzed and compared the ability accumulation of heavy metal of moss between Viet Nam (Hue city) and Russia, Bosnia-Herzegovina15.
In this study, three kinds of mosses, which were collected in Da Lat (highlands) and in Hue, were analyzed by the NAA method. The element concentrations of mosses are displayed in
Essential and non-essential elements for plant life differ in abundance and behavior in moss tissue. Essential elements make up the majority of plant tissue and consist of the primary nutrients nitrogen (N), phosphorus (P), and potassium (K). The secondary nutrients include calcium (Ca), magnesium (Mg) and sulfur (S), as well as the micronutrients iron (Fe), manganese (Mn), zinc (Zn), copper (Cu), boron (B), and molybdenum (Mo). Elements having chemical properties homologous with those of these nutrients, especially the primary nutrients, can imitate them and accumulate in plant tissues. For example, some moss samples are rubidium and cesium imitate potassium, and barium and strontium imitate calcium. Although nutrients are essential elements, the imitators can be non-essential or toxic to plants. This information could be found anywhere in plant literature.
The Dalat and Hue sample groups were treated differently. In the Dalat sample group, the median concentrations of non-nutrient elements in the samples were higher than in the samples. However, the inverse was the case for the primary, secondary nutrients and their homologous (except for potassium). In the Hue group, the median non – nutrient element concentrations in moss was lower than that of the and mosses. In general, the non-nutrient elemental accumulation abilities of the mosses can be arranged in the following decreasing order: > > .
The nutrient accumulation abilities of the different moss species are not the same. Most nutrients accumulate more in than in the other species, and many of them accumulate more in than in .
Among the various moss types, the mean concentration of different elements were found in different magnitudes.
The calcium ratio for Dalat is considerably larger than that for Hue. The high value could be caused by the high portion of calcium in the Bazan red soil and calcareous rocks of Dalat. These were compared with the low amount of calcium in the sandy coastal soil at Hue, and the presence of calcium on the surfaces of the unwashed moss samples.
Elemental accumulation abilities of moss, which is largely used in Europe, are better than those of . However, moss is capable of accumulating pollutants, and is easily harvestable, recognizable and widespread3, 15 in the whole country. Thus, moss would be an suitable bioindicator to study atmospheric deposition in Viet Nam.
CONCLUSION
Element accumulation abilities of moss are better than for , but both of them are comparable and can be used as indicators for air deposition monitoring in Vietnam. , which is a short moss, does not appear to be appropriate for biomonitoring because of the strong influence of the substrate on the analytical results.
Except for the north of Vietnam, which has four seasons, other parts of Vietnam have two seasons (dry and rainy) per year that occur at different times. Consequently, the time selected for sampling in each region should take the dates of the local rainy season into consideration.
Accumulation of nutrient elements in the studied moss species varies widely. It is preferable to use one of the same moss species to perform atmospheric deposition monitoring. moss can be used as the bio-indicator for monitoring air pollution in Vietnam because it has good elemental accumulation abilities and is widespread.
COMPETING INTERESTS
The authors commit that they have no competing interests.
ACKNOWLEDGEMENTS
The present research was carried out in the framework of the grant of the Plenipotentiary of Vietnam at JINR provided in 2018 and 2019.
This research is supported by the Ministry of Education and Training of Vietnam under the project code number: B2019 – DLA – 04.
We thank Steven Carlson who provided English language editing.