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Algae > Volume 34(1); 2019 > Article
Chankaew, Sakset, Chankaew, Ganesan, Necchi, and West: Diversity of freshwater red algae at Khao Luang National Park, southern Thailand

ABSTRACT

Freshwater red algal diversity and the relationship with water conditions in 22 stream segments in the area around Khao Luang National Park, Nakhon Si Thammarat province, southern Thailand, were studied during a period of twelve months (May 2014 to April 2015). Sixteen species of freshwater red algae, belonging to eight genera (Audouinella, Balliopsis, Batrachospermum, Caloglossa, Compsopogon, Kumanoa, Sirodotia, and Thorea) were identified, which were all reported earlier for the country. Thorea clavata (Thoreaceae) was the most common species occurring in eight stream segments. Caloglossa beccarii sensu lato (Delesseriaceae) and Sirodotia huillensis Skuja (Batrachospermaceae) had the highest percent cover with up to 40% and 20% per stream segment, respectively. The water quality showed most sites to be unpolluted or ultra-oligotrophic to oligotrophic. Canonical Correspondence Analysis revealed some trends in occurrence of individual species with stream environmental variables: Batrachospermum sp. with strong current velocity; Kumanoa hirosei with high turbidity, total dissolved solid and alkalinity; Caloglossa beccarii with high conductivity; Kumanoa tabagatenensis with high ammonia-nitrogen and Thorea siamensis with high calcium and magnesium. In view of the scarce studies on the stream ecology of freshwater red algae in Philippines and neighbouring countries, it is expected that the data presented here would be helpful in more critical further studies in south-east Asia in general.

INTRODUCTION

Freshwater red algae constitute only about 3.4% of the total number of members of the division Rhodophyta, while the remaining more than 96.6% are exclusively marine (Sheath 1984, Guiry and Guiry 2017). The environmental physical and chemical conditions are considerably different spatially and temporally from those of the marine environment (Necchi et al. 1999). Red algal diversity and ecology in characteristics in freshwaters are diverse. Sheath (1984) and Sheath and Hambrook (1990) evaluated on large scale (biomes and continent), the biology, ecology, and taxonomy of freshwater red algae. Primary studies of the ecology, distribution and diversity of freshwater red algae have been conducted in Rhode Island, USA by Burkholder and Sheath (1985), Sheath and Burkholder (1985), Sheath et al. (1986), in Brazil by Necchi (1993), Necchi et al. (1999), and in Europe by Eloranta and Kwandrans (1996, 2004). Malaysia has high red algal diversity with many endemic taxa, (Johnston et al. 2014). Only a few investigations of freshwater macroalgal ecology have been published in South East Asia. In Thailand, ecological studies have been conducted on water quality and its effects on the distribution and diversity of phytoplankton and benthic algae in Doi Suthep-Pui National Park (Peerapornpisal et al. 2000). Studies were performed to determine phytoplankton bio-indicators in Ang-Kaew reservoir by Peerapornpisal et al. (2004) and macroalgal / phytoplankton diversity as bio-monitors of water quality by Suphan and Peerapornpisal (2003, 2007). Red algal diversity and ecology have been investigated by Chankaew et al. (2013, 2015), Peerapornpisal et al. (2006), Traichaiyaporn et al. (2004, 2005, 2007), and Naulcharoen et al. (2007). More recently, Chankaew et al. (2016) evaluated the importance of two freshwater red algae (Caloglossa ogasawarensis and Compsopogon caeruleus as C. aeruginosus) as potential candidates for development of antioxidants. The aims of the present study are to describe the diversity and abundance of freshwater red algae and their relation to environmental factors in stream segments around an important area in southern Thailand, the Khao Luang National Park. The data presented here will be a useful source of information for further studies on the ecology of the freshwater red algae in lotic water bodies of other areas of Thailand and the Southeast Asian region.

MATERIALS AND METHODS

Area of study

Khao Luang National Park (Nakhon Si Thammarat province) (Fig. 1), is an important watershed region for the surrounding farms and villages, located between the following geographic coordinates: 08°30′ N, 99°44′ E. Covering an area of approximately 570 km2, it is mountainous with many tall peaks and has forests, wildlife, rivers and waterfalls (National Park, Wildlife and Plant Conservation Department 2006). Due to its unique location on the peninsula, it receives heavy monsoon rains throughout the year from both the east and the west coasts. The climate is tropical, with well-demarcated rainy and dry seasons. We selected 22 stream segments accessible by car around community areas of seven different districts of Nakhon Si Thammarat province in Khao Luang National Park (designated K1 to K22) (Table 1).

Environmental (physical and chemical) water variables and red algal sampling

Physical and chemical stream variables were measured and two replicates of each alga were collected at each site in each of three seasons over a period of 12 months (May 2014 to April 2015): the early rainy season (July–August 2014, SW monsoon), the heavy rainy (November–December 2014, NE monsoon), and the dry season (March–April 2015). Species exploring were conducted along a transect line marked by permanent plots. A long-transect length surveyed is 100 m per sampling site. In each of the 22 sites, a permanent plot 10 m in length along the stream margin was used as the sampling area were chosen at random (modified from Necchi 1993, Necchi et al. 1999). Along this 10 m long transect, divided into 10 at equal intervals, red algal occurrence (presence and percent cover) was estimated visually on the stream bottom and abundance was averaged over the entire stream segment according to the following scale (modified from Necchi 1993): 0, absent; 1, <10%; 2, 11–20%; 3, 21–30%; 4, 31–40%; 5, >40%. This procedure was followed in two replicates in each site and data were computed as the average for the sampling site.
In each study site, water samples were collected for measurement according to American Public Health Association, American Water Works Association, and Water Pollution Control Pact standards (Eaton et al. 1995). Temperature, water depth, current velocity, conductivity, total dissolved solid, dissolved oxygen (DO), and pH values were measured in the field using standard portable instruments (Portable Multi Parameter Photometer, MD600; Lovibond, Dortmund, Germany). Nutrients, ammonium-nitrogen (NH3-N), nitrate-nitrogen (NO3-N), and orthophosphate (PO4-P), acidity, alkalinity, and hardness were analyzed in the laboratory by standard methods (Eaton et al. 1995) from water samples kept at 4°C until analysis. The trophic status was evaluated using the Applied Algal Research Laboratory Physical and Chemical score (AARL-PC score) (Peerapornpisal et al. 2004). This composite index defines water quality categories using dissolved oxygen, conductivity, nitrate-nitrogen, ammonia-nitrogen, and soluble reactive phosphorus (SRP).
Algal specimens were preserved in 2% glutaraldehyde in the field. Species were identified using morphological characters according to Jose and Patel (1990), Kumano (2002), Traichaiyaporn et al. (2007, 2012), Necchi and Vis (2012), and Necchi (2016). The community structure was evaluated using the Shannon-Wiener diversity index (H′) and Pielou’s evenness index (J′) (Brower et al. 1997). These indices were calculated from the annual average scores of red algal species records. Shannon-Wiener diversity -n=inpilog2pi with i proportion of each algal species (percent cover) to the total abundance, Pielou’s evenness = H′ / Hmax, where H′ = Shannon-Wiener diversity index, pi = the proportion of individual average scores of the species ith species expressed as a proportion of total abundance, Hmax = log2S, where S = the total number of species.

Statistical analysis

Univariate analysis, using the mean and standard deviation, was applied to describe and evaluate the water quality among sampling sites and seasons. Multivariate indices analysis, cluster and ordination multi-dimensional scaling (MDS) analyses were used to classify similarity of water quality parameters among seasons and sites. The cluster and MDS analyses aimed to find grouping of similarities of samples among different sites and season that samples within a group are more similar to each other than samples in different groups. The resulting cluster was shown in tree-like diagram called a dendrogram and MDS was shown as biplot. The correspondence of the ordination to the distances shown as a stress value, where a value less than 0.05 is an excellent fit, a value less than 0.10 is a good fit, a value less than 0.20 is a potential fit and a value greater than 0.30 is an arbitrary fit. Both the clustering dendrogram and map were constructed using a standardized Euclidean distances matrix for the water variables. Analysis of similarity (ANOSIM) was also performed to determine significant differences in the different groups of water parameters. The similarity percentages (SIMPER) was used to test the parameters within groups. All analysis procedures used were based on Clark and Warwick (1994) using PRIMER program (ver. 5 for Windows; Bourne Press Limited, Bournemouth, UK). The relationships between red algae assemblages and environment variables were explored by Canonical Correspondence Analysis (CCA) using MVSP (MultiVariate Statistical Package) for Windows ver. 3.22. The result was shown by CCA plot.
In addition, the trophic status of water was evaluated from the main parameters such as dissolved oxygen, conductivity, ammonia-nitrogen, nitrate-nitrogen and SRP by AARL-PC score, based on Peerapornpisal et al. (2004).

RESULTS AND DISCUSSION

Environmental factors

Most stream segments (20 of 22) were slightly acidic (pH 6.3 ± 0.2 to 6.7 ± 0.6) while two stream segment (K5 and K9) were slightly basic (pH 7.4 ± 0.5 and 7.1 ± 1.2), with high DO content (3.51 ± 1.5 to 7.8 ± 0.7 mg L−1) and conductivity levels (12.4 ± 10.1 to 128.3 ± 24.4 μs cm−1). All stream sites had clear water with low turbidity (except K6 site) and relatively high water temperature (varied from 24.5 ± 0.4 to 26.5 ± 0.6°C). The current velocity was highly variable, ranging from 2.0 ± 0.1 to 116.5 ± 22.2 cm s−1. The turbidity ranged from 1.0 ± 0.1 to 116.5 ± 22.2 nephelometric turbidity unit. Total dissolved solids (TDS) ranged from 6.4 ± 1.1 to 58.4 ± 20.2 mg L−1. In acid samples CaCO3 varied from 2.3 ± 0.3 to 19.8 ± 4.4 mg L−1. In alkaline samples alkalinity is accurately expressed as CaCO3, which was 4.3 ± 1.5 to 81.3 ± 0.8 mg L−1. In a wide range of samples hardness as CaCO3 varied from 5.1 ± 0.8 to 130.8 ± 59.6 mg L−1. Ammonia-nitrogen values varied from <0.02 ± 0.0 to 0.22 ± 0.1 mg L−1 (Table 2).
Most species occurred in slightly acidic water, which is consistent with data from Sheath and Hambrook (1990), who reported freshwater red algae occurring mostly in mildly acidic streams ranging between pH 6.0 and 7.0. The AARL-PC showed most sites within the range of ultraoligotrophic to oligotrophic status, and few in the oligo-mesotrophic (Table 3). Most of the sampling sites showed similar trophic status throughout the year and were classified to clean to very clean. This finding is probably due to geographical proximity of the preserved area of Khao Luang National Park. However, the sampling sites K2, K4, K5, K14, and K22 located in the downstream area showed moderate contamination levels by the agriculture activities, evidenced by oligo-mesotrophic status (clean to moderate clean). These characteristics were similar to those described in eight National parks of five provinces in northern Thailand (Traichaiyaporn et al. 2005).
Cluster and MDS analyses of water quality parameter variations among seasons and sites showed three groups. The three groups (70% similarity and ANOSIM test results of R = 0.977, p < 0.01) were group 1—K6W1 and K2W2, group 2—K3D, K3W1, K5D, K5W1, K5W2, K6D, K7W1, and K7W2, and group 3 composed of the rest of the sampling dates (56 variables) (Fig. 2A & B). One parameter indicated similarity within each groups: turbidity contributed greater than 15% similarity in the first group; TDS, hardness and velocity in the second group; TDS and conductivity in the third group. The status of Khao Luang National Park water quality is similar to the results of Thiemdoa et al. (2007) in other areas of northern and southern Thailand with mostly clean waters.

Species composition and distribution

A total of 16 red algal species were identified (Table 4), belonging to eight genera Audouinella, Balliopsis, Batrachospermum, Caloglossa, Compsopogon, Kumanoa, Sirodotia, and Thorea) that are distributed among the families Acrochaetiaceae, Batrachospermaceae, Compsopogonaceae, Delesseriaceae, and Thoreaceae, and occurred in all collecting sites sampled (Table 3). In 16 sites only one species was found, whereas site K5 had the highest species richness with four species (Table 3). The most species-rich genera recorded was Kumanoa (four species), followed by Sirodotia (three species), and Thorea (two species). Audouinella, Balliopsis, Caloglossa, and Compsopogon has only one species. Thorea clavata Seto & Rathanasabapathy occurred most frequently in eight sites in both seasons, while most appeared rarely (only 1 site). During this study, maximum algal abundance was observed in April 2015 at the Klonggun site (K15), in which the dominant species was Caloglossa beccarii (Zanardini) De Toni sensu lato. The lowest algal abundance was found in Klongtow site (K7), in which Audouninella subtilis Jao occurred in both seasons. The highest species richness was at the Klongwangpai site (K6) with four species, while at 11 sites only one species was found. Among the 16 species sampled, T. clavata and C. beccarii sensu lato were dominant with greatest abundance and maximum density, respectively. In contrast, some species were found only in particular sites, for instance, A. subtilis occurred only at Klong tow (K7), Thorea siamensis was observed only at the Huaycheesuk (K5) and Kumanoa gibberosa occurred only at the Huaytrankaew (K16) (Table 3). Our results show the streams around Khao Luang National Park have a high diversity of red algae compared to studies of other regions of the world (Necchi et al. 1999, Eloranta et al. 2016). This area is well-preserved and has relatively rich red algal communities, when compared with some neighbouring countries like Philippines (Liao 2010), Malaysia and Indonesia (Johnston et al. 2014).
It is also important to point out that the alga we have identified tentatively as C. beccarii sensu lato as occurring in Thailand, well in the morphological characteristics of Caloglossa fluviatilis, a species described from Panama and also reported from India (Kamiya and West 2014). However, molecular characterization of the Thailand specimens are under study to confirm our tentative identification.

Comparison of dry and rainy seasons

Table 3 shows some differences in diversity of study sites and seasons. Of the 22 sites surveyed, eight species were found in all seasons. The highest values (16) of species richness were observed in the period of dry and wet season of early rainy season SW monsoon (16 species), whereas the lowest numbers occurred in wet season of heavy rainy season (8 species). The highest diversity values revealed by Shannon-Wiener, Simpson and Pielou indices were observed in dry season (when the dominant species was C. beccarii sensu lato) (Table 3). In the dry season other common species were Compsopogon caeruleus, Audouinella subtilis, Kumanoa tabagatenensis, Sirodotia huillensis, S. suecica, Thorea clavata, T. siamensis, and Balliopsis prieurii, which were found in all seasons with variable abundances. The highest values of species richness and abundance of red algae observed in the dry season could be due to the higher sunlight irradiance and light penetration in water with lower turbidity increasing photosynthesis, as well as slow current velocity allowing increased biomass, as reported in temperate regions (Sheath 1984) and tropical regions (Necchi 1993). In addition, nutrient run off during the rainy season, especially in NE monsoon, might influence algal growth and abundance. Of all the species surveyed, Caloglosssa beccarii sensu lato, is of special interest, since it had the highest abundance in all seasons. This might be due to their small thallus size (about 2 cm high) coupled with production of new blades, adventitious branches from blade margins and firm attachment by rhizoids. At present in Thailand freshwater Caloglossa species identification is not clear for lack of critical comparative molecular and morphological characterizations. Two species of Caloglossa, C. beccarii (Sato and Akiyama 2002) and C. leprieurii (Montagne) G. Martens (Peerapornpisal et al. 2006, Naulcharoen et al. 2007), have been reported from southern Thailand, the latter species from a peat swamp in Krabi province. The former species has a wide distribution in freshwater streams from Southeast Asia being reported recently from Indonesia and Malaysia (Johnston et al. 2014). As already stated, following recent papers (Kamiya and West 2014, West et al. 2015, Kamiya et al. 2016) we tentatively identified, but based on only on morphological studies, the Thailand specimens as C. beccarii sensu lato, but they seems to belong to a different species (C. fluvaitilis).

Relationship between red algal abundance and environmental variables by CCA

Many environmental variables can influence the growth of freshwater red algae. The substrate characteristics have a direct impact on the distribution of these algae (Sheath 1984), whereas other environmental factors affect stream condition and freshwater algal seasonality. In this study, water quality and trophic status were not particularly different among study sites and seasons. In a period of high turbidity, especially during the North-East monsoon, the nutrient concentration increased, water transparency decreased and species richness was lower (8 species). In this aspect, it is similar to a study made in Brazil (Necchi 1993), where algal abundance decreased with a higher nutrient levels, solar radiation, temperature and turbidity.
The relationship of red algae and water quality parameters provided by CCA plot (Fig. 3), indicated that the abundance of Batrachospermum sp. (Bsp) was positively correlated with current velocity (Vel) but it was negatively correlated with TDS, turbidity, and alkalinity. Thus, this species is more abundant in higher water velocity and lower TDS, turbidity, and alkalinity. Caloglossa beccarii sensu lato was more abundant in higher conductivity and temperature and lower pH. Kumanoa tabagatenensis was more abundant in high ammonia concentration and slightly acidic condition. Kumanoa hirosei was more abundant in higher alkalinity, turbidity and TDS with lower DO and SRP. Although the dominant taxon, C. beccarii sensu lato occurred in three sites at all seasons under oligotrophic-mesotrophic status based on AARLPC score. The presence of rare species of Batrachospermum and Kumanoa at most sites could also be relate to oligotrophic condition. These findings corroborate previous studies in Thailand (Suphan and Peerapornpisal 2003, 2007, Suphan et al. 2004, Peerapornpisal et al. 2006). The present trophic water data can provide a good basis for water management in Khao Luang National Park. Also, this research provides more information on freshwater red algal ecology in tropical streams.

CONCLUSION

A combined composition and ecological distribution study during a period of twelve months in 22 freshwater stream segments in southern Thailand resulted in the following conclusions: (1) sixteen species of freshwater red algae belonging to eight genera were identified showing a fairly rich diversity of freshwater red algal species; (2) water quality showed that most sites to be unpolluted (ultra-oligotrophic to oligotrophic); and (3) trend of individual species to occur in stream segments with particular environmental characteristics was evident as shown in Canonical Correspondence Analysis: Batrachospermum sp. with high current velocity; Kumanoa hirosei with high turbidity, total dissolved solids, and alkalinity; Caloglossa beccarii with high conductivity; Kumanoa tabagatenensis with high ammonia-nitrogen and Thorea siamensis with high calcium and magnesium.

ACKNOWLEDGEMENTS

This research is partially supported by Higher Education Research Promotion grants (HERP 2014; 2557 A17162012) “To participate in learning of ecology and biodiversity of freshwater red macroalgae, at community area around Khao Luang National Park, Nakhon Si Thammarat province, Thailand” and the field assistance by the students of the Fisheries Department, Faculty of Agriculture, Rajamangala University of Technology Srivijaya, Thailand, are gratefully acknowledged for support of this project.

Fig. 1
Map of Thailand showing the location of the study areas around Khao Luang National Park, Nakhon Si Thammarat province, Thailand.
algae-2019-34-1-23f1.jpg
Fig. 2
Normalized Euclidean cluster diagram (A) and multi-dimensional scaling analyses (B) according to sampling sites of physico-chemical variable in all seasons.
algae-2019-34-1-23f2.jpg
Fig. 3
Canonical Correspondence Analysis (CCA) plot showing the relationship among water quality variables, sampling sites and freshwater red algae. Eigenvalues and percentage of variance of axes 1 and 2 are 0.73 and 0.66; 8.23 and 7.45; 8.23, respectively. Aci, acidity; Alk, alkalinity; Asu, Audouinella subtilis; Bge, Batrachospermum gelatinosum; Bsp, Batrachospermum sp.; Cabe, Caloglossa beccarii; Con, conductivity; DO, dissolved oxygen; Har, hardness; Khi, Kumanoa hirosei; Kma, Kumanoa mahlacensis; Kta, Kumanoa tabagatenensis; NH3, ammonia-nitrogen; NO3, nitrate-nitrogen; SRP, soluble reactive phosphorus; Ssp, Sirodotia sp.; Tcla, Thorea clavata; TDS, total dissolved solids; Tem, temperature; Tur, turbidity; Vel, velocity.
algae-2019-34-1-23f3.jpg
Table 1
Sampling stations from districts, around Khao Luang National Park, Nakhon Si Thammarat province, Thailand
Station Location
K1–K6 LanSaKa district; Wangbaipat, Klong Toog, Lumnga, Nongkaew, Cheesuk and Wangpai streams
K7–K8 ChangKlang district; Klongtow and Klongpeeg streams
K9 Phipoon district; Nannokan stream
K10 Chawang district; Suanei stream
K11–K15 Nopphitum district; Pakklong, Krungching, Klongyan, Klongka and Klonggun streams
K16–K20 Promkhiri district; Huaytaykaw, Plauyoen, Plauynam, Promlok and Nogta streams
K21–K22 Mueang district; Huaymoo and Huayhang streams

See Fig. 1 for location of each station.

Table 2
Mean and standard deviation for physico-chemical parameters of stream around Khao Luang National Park, Thailand
Sitea Temp. (°C) Turbi dity (NTU) Velocity (m s−1) Cond. (μS cm−1) TDS (mg L−1) Acidity (mg L−1) Alkalinity (mg L−1) Hardness (mg L−1) pH DO (mg L−1) NH3 (mg L−1) NO3 (mg L−1) SRP (mg L−1)
K1 24.9 ± 0.9 13.1 ± 4.3 18.7 ± 27.9 46.7 ± 14.3 53.0 ± 28.1 4.1 ± 0.3 21.2 ± 1.4 10.7 ± 0.2 6.4 ± 0.2 6.1 ± 0.3 0.02 ± 0.0 0.08 ± 0.0 0.00 ± 0.0
K2 24.6 ± 0.6 13.2 ± 25.3 21.8 ± 26.3 36.9 ± 8.9 53.0 ± 28.4 3.5 ± 1.2 16.0 ± 1.8 8.8 ± 0.3 6.4 ± 0.1 5.1 ± 1.6 0.04 ± 0.1 0.03 ± 0.0 0.03 ± 0.0
K3 25.2 ± 0.5 6.3 ± 4.8 7.9 ± 1.9 31.8 ± 9.5 37.5 ± 24.5 3.7 ± 1.0 9.0 ± 2.6 50.3 ± 40.0 6.7 ± 0.6 6.2 ± 1.3 0.22 ± 0.1 0.02 ± 0.0 0.03 ± 0.0
K4 24.8 ± 0.2 1.0 ± 0.1 11.3 ± 3.3 32.5 ± 12.8 10.3 ± 0.9 3.1 ± 0.4 6.2 ± 2.4 7.2 ± 2.7 6.3 ± 0.2 5.3 ± 0.4 0.03 ± 0.0 0.01 ± 0.0 0.07 ± 0.0
K5 24.5 ± 0.4 2.2 ± 1.0 116.5 ± 22.2 12.4 ± 10.1 12.5 ± 1.2 3.2 ± 0.5 81.3 ± 0.8 130.8 ± 59.6 7.4 ± 0.5 4.1 ± 1.2 0.11 ± 0.0 0.00 ± 0.0 0.01 ± 0.0
K6 25.1 ± 0.3 83.3 ± 22.8 8.3 ± 1.1 23.3 ± 8.7 11.7 ± 0.6 3.0 ± 0.8 5.1 ± 1.6 34.5 ± 65.5 6.4 ± 0.7 5.2 ± 0.6 0.03 ± 0.0 0.04 ± 0.0 0.03 ± 0.0
K7 25.2 ± 0.1 6.1 ± 0.2 17.0 ± 6.4 28.9 ± 0.6 6.4 ± 1.1 5.0 ± 1.1 4.3 ± 0.7 49.7 ± 43.4 6.6 ± 0.4 7.8 ± 0.7 0.04 ± 0.0 0.03 ± 0.0 0.04 ± 0.1
K8 25.4 ± 0.2 6.4 ± 0.8 2.6 ± 0.6 36.5 ± 6.8 7.8 ± 2.4 6.8 ± 1.5 5.0 ± 1.0 7.0 ± 1.2 6.5 ± 0.4 5.3 ± 0.1 0.05 ± 0.1 0.09 ± 0.1 0.03 ± 0.0
K9 26.0 ± 0.4 6.7 ± 0.7 9.3 ± 0.7 25.4 ± 3.5 9.4 ± 2.0 9.0 ± 1.0 5.3 ± 0.4 8.8 ± 0.8 7.1 ± 1.2 5.7 ± 0.5 0.09 ± 0.1 0.04 ± 0.0 0.04 ± 0.1
K10 24.9 ± 0.2 2.7 ± 0.4 2.0 ± 0.1 20.7 ± 4.7 12.5 ± 1.3 4.1 ± 0.9 6.1 ± 0.8 10.9 ± 1.4 6.7 ± 0.0 4.9 ± 0.5 0.05 ± 0.0 0.01 ± 0.0 0.02 ± 0.0
K11 25.6 ± 0.3 4.6 ± 1.6 9.8 ± 0.4 87.1 ± 24.6 11.6 ± 2.4 2.3 ± 0.3 5.8 ± 0.9 6.7 ± 1.7 6.4 ± 0.6 5.8 ± 0.8 0.06 ± 0.0 0.02 ± 0.0 0.03 ± 0.0
K12 25.4 ± 0.2 7.2 ± 1.8 10.7 ± 0.7 45.2 ± 42.0 10.5 ± 2.8 3.2 ± 0.1 5.0 ± 0.8 5.1 ± 0.8 6.7 ± 0.3 6.3 ± 0.5 0.04 ± 0.0 0.07 ± 0.0 0.01 ± 0.0
K13 24.9 ± 0.5 8.1 ± 0.3 9.9 ± 0.2 33.1 ± 6.9 9.8 ± 2.9 5.1 ± 2.6 9.3 ± 4.7 8.3 ± 1.3 6.6 ± 0.1 6.7 ± 0.9 0.08 ± 0.0 0.03 ± 0.0 0.01 ± 0.0
K14 26.5 ± 0.6 5.8 ± 3.4 10.7 ± 0.9 34.4 ± 8.9 11.8 ± 0.8 3.7 ± 1.4 5.1 ± 0.5 8.4 ± 2.6 6.2 ± 0.3 4.9 ± 1.5 0.12 ± 0.0 0.04 ± 0.0 0.09 ± 0.0
K15 25.2 ± 0.4 2.0 ± 1.3 12.6 ± 2.2 128.3 ± 24.4 10.9 ± 0.8 4.3 ± 0.3 4.8 ± 2.6 7.3 ± 1.7 6.5 ± 0.9 4.0 ± 1.3 0.10 ± 0.0 0.03 ± 0.0 0.04 ± 0.0
K16 25.1 ± 0.5 3.8 ± 1.1 12.7 ± 0.5 25.4 ± 5.9 13.0 ± 1.1 3.8 ± 1.1 6.3 ± 0.5 8.9 ± 2.2 6.7 ± 0.2 4.7 ± 1.9 0.03 ± 0.0 0.02 ± 0.0 0.01 ± 0.0
K17 26.1 ± 0.3 3.4 ± 0.4 10.2 ± 0.5 26.8 ± 2.2 13.5 ± 0.1 19.8 ± 4.4 4.3 ± 7.8 13.4 ± 1.0 6.5 ± 0.6 6.1 ± 0.5 0.09 ± 0.0 0.04 ± 0.0 0.01 ± 0.0
K18 26.0 ± 0.3 4.6 ± 0.5 8.8 ± 2.9 25.1 ± 1.3 13.3 ± 0.8 15.2 ± 1.5 5.4 ± 1.8 10.7 ± 0.7 6.5 ± 1.8 4.7 ± 2.4 0.02 ± 0.0 0.09 ± 0.0 0.03 ± 0.1
K19 26.1 ± 0.7 2.3 ± 0.2 12.6 ± 0.4 36.9 ± 10.5 13.8 ± 1.6 3.8 ± 1.4 4.4 ± 0.4 14.0 ± 0.9 6.6 ± 0.2 3.5 ± 0.9 0.03 ± 0.0 0.25 ± 0.0 0.04 ± 0.0
K20 25.2 ± 0.5 4.2 ± 1.5 13.7 ± 1.3 38.8 ± 5.2 13.0 ± 0.4 10.8 ± 0.7 5.0 ± 2.9 11.5 ± 1.5 6.4 ± 1.4 3.5 ± 1.5 0.10 ± 0.0 0.03 ± 0.0 0.05 ± 0.0
K21 25.6 ± 0.6 13.0 ± 6.5 8.9 ± 15.6 40.2 ± 32.5 58.4 ± 20.2 5.8 ± 1.6 11.2 ± 9.4 10.4 ± 0.4 6.7 ± 0.1 5.3 ± 1.7 0.05 ± 0.0 0.17 ± 0.0 0.00 ± 0.0
K22 25.4 ± 0.8 12.7 ± 1.8 8.7 ± 11.2 39.9 ± 14.4 49.7 ± 23.6 3.4 ± 0.8 4.3 ± 1.5 8.6 ± 0.6 6.3 ± 0.1 5.5 ± 1.9 0.03 ± 0.0 0.07 ± 0.0 0.02 ± 0.0

Values are presented as mean ± standard error (n = 6).

Temp., temperature; NTU, nephelometric turbidity unit; Cond., specific conductance; TDS, total dissolved solids; DO, dissolved oxygen; SRP, soluble reactive phosphorus.

a See Table 1 for abbreviations.

Table 3
Species number, Shannon-Wiener index, Simpson index, and Pielou evenness and water quality by trophic status for the different sampling sites
Sitea / Diversity index No. of species Trophic status


W1 W2 D W1 W2 D
K1 1 1 1 UO UO O
K2 1 1 1 UO O OM
K3 0 1 1 UO UO O
K4 1 1 1 UO O OM
K5 4 3 1 O O OM
K6 3 2 1 UO UO O
K7 2 2 1 UO UO O
K8 1 1 2 UO O O
K9 1 1 1 UO UO O
K10 1 0 1 UO O O
K11 3 3 2 UO UO O
K12 1 1 1 O O O
K13 1 1 - UO UO O
K14 1 0 1 UO O OM
K15 1 1 1 UO UO O
K16 2 2 1 UO UO O
K17 1 1 1 UO UO O
K18 2 1 2 UO UO O
K19 1 0 1 UO UO O
K20 1 1 1 UO O O
K21 1 0 1 O O O
K22 1 1 2 OM OM OM
Shanon-Wiener index 3.793 3.010 3.797 - - -
Simpson index 0.915 0.875 0.916 - - -
Pielou evenness 0.945 1.0 0.946 - - -

W1, wet season (SW); W2, wet season (NE); D, dry season; UO, ultraoligotrophic; O, oligotrophic; OM, oligotrophic-mesotrophic.

a See Table 1 for abbreviations.

Table 4
List of stream red algae, site distribution and abundance (%) in stream around KhaoLuang National Park, Nakhon Si Thammarat province
Order / Family Genus / Species Site distributiona Abundance (%)b

W1 W2 D
Acrochaetiales / Acrochaetiaceae Audouinella subtilis Jaoc K7 1 1 1
Batrachospermales / Batrachospermaceae Balliopsis prieurii (Montagne) G. W. Saunders et Necchi K9 1 1 1
Batrachospermum khaoluangensis Chankaew, Peerapornpisal et Kumano K5 1 1 1
Batrachospermum gelatinosum (L.) Roth K19 1 0 1
Batrachospermum sp.1 K8, 10 1 0 1
Kumanoa gibberosa (Kumano) Necchi et M. L. Vis K16 1 1 1
Kumanoa hirosei (Kumano) Necchi et M. L. Vis K6, 21 1 1 1
Kumanoa mahlacensis (Kumano et W. A. Bowden-Kerby) M. L. Vis, Necchi, W. B. Chiasson et Entwisle K11, 18 1 0 1
Kumanoa tabagatenensis (Kumano et W. A. Bowden-Kerby) M. L. Vis, Necchi, W. B. Chiassont et Entwisle K22 1 0 1
Sirodotia huillensis (W. West et G. S. West) Skuja K6 1 1 1
Sirodotia suecica Kylin K2, 4 1 0 1
Sirodotia sp.1 K14 1 0 1
Compsopoganales / Compsopogonaceae Compsopogon caeruleus (Balbis) Montagne K5, 8, 17, 20 1 0 1
Ceramiales / Delesseriaceae Caloglossa beccarii (Zanardina) De Toni sensu latod K11, 12, 15 2 1 2
Thoreales / Thoreaceae Thorea clavata Seto et Ratnas K1, 3, 5, 6, 7, 11, 13, 18 4 1 4
Thorea siamensis Kumano et Traichaiyaporn K5 1 0 1

W1, wet season (SW); W2, wet season (NE); D, dry season.

a See Table 1 for abbreviations.

b 0, absent; 1, <10%; 2, 11–20%; 3, 21–30%; 4, 31–40%.

c Possibly only a ‘Chantransia’ stage of Batrachospermumales.

d A complex of four species including Caloglossa fluviatilis Krayesky, Fredericq & J. N. Norris (see key in Sato and Akiyama 2001, Kamiya et al. 2016). We tentatively identify our specimens as C. beccarii sensu lato, pending critical morphological and molecular studies of the Thai populations.

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