Multiple Ecological Parameters Analysis in Streams and Rivers

SANG-JAE LEE1, EUI-HAENG LEE2, MD. MAMUN 1, KWANG - GUK AN1

1 Department of Biological Science, College of Biological Sciences and Biotechnology, Chungnam National University, Daejeon 34134, South Korea

2 Korea Rural Community Corporation, Naju 58327, South Korea

E-mail: wangmommyson@hanmail.net http://sbb.cnu.ac.kr/bk21plus/eng/

Abstract: - We evaluated multiple ecological parameters of streams and rivers within a same watershed for a diagnosis of physical, chemical, and biological conditions. Water quality such as nutrients (N, P), BOD, suspended solids, and specific conductivity were analyzed to detect a chemical pollution. Physical habitat conditions were determined by Qualitative Habitat Evaluation Index (QHEI), and the biological conditions were determined by fish analysis, based on the multi-metric fish model of the Index of Biological Integrity (IBI) for evaluations of the biological stream health. In addition, we analyzed fish fauna and compositions in the streams and rivers along with the analysis of tolerance and trophic guilds. Ecological stream/rivers health were analyzed using the all dataset of physical habitat, chemical, and biological components. These approach may be provide a key data for an ecological restoration of impaired lotic ecosystems.

Keywords: - Multiple parameter analysis, stream habitat, water quality, biological integrity


1 Introduction

Recently, streams and rivers are rapidly degradated by physical habitat degradations of habitat as well as various sources of organic or inorganic pollutants. Also, urban developments and expending resulted in more constructions of wastewater treatment plants and also modified stream habitat structures such as channel shapes and substrate composition and flow regimes of stream ecosystems. As a result, ecological degradations in the streams and rivers have been frequently reported in regional aquatic ecosystems [1].

Most of these degradations were diagnosed on the basis of conventional chemical water pollution theory so far [2]. However, it could not reflect integrative effects from channelization, barriers, exotic species, and altered flow regimes, all complex factors happening in stream ecosystem. Most of chemical approaches could detect specific types of degradation, only associated with chemical sources like as eutrophication and toxicant effects, but did not reflect the habitat alterations of stream environments [3]. For these reasons, integrated approaches using biological, chemical, and physical parameters were required for efficient stream health monitoring and management [4].

Recently in Korea, stream health assessment methodology using biota such as periphyton, macroinvertebrate and fish was developed to evaluate the aquatic ecosystem by the government in 2006. This monitoring methodology has a key role to diagnose stream health degradations [5]. It also provides standards how to manage and restore the stream health impacted in the major watersheds in Korea. For some successful managements to keep watersheds clean, researches should be conducted through comparative analysis between past and present health conditions of aquatic environments and also predict the future.

In this study, we applied various approaches of multi-metric assessment model, based on Index of Biological Integrity (IBI), physical habitat health, based on Qualitative Habitat Evaluation Index (QHEI), and chemical water quality analysis to evaluate the integrative stream ecosystem health in Geum River Watershed, Korea

2 Materials and Methods

2.1 Sampling sites and Sampling Methods

This study was conducted in Geum-River watershed, which is located in the temperate region of South Korea. Fish sampling were conducted at multiple sites in the watershed including mainstream and tributaries, according to the modified wading method to adapt the Korean aquatic ecosystem. We also sampled 39 reference streams and determined the stream order after the methodology of Strahler [6] using a map scale of 1:120,000.

2.2 Chemical Analysis

Chemical dataset were obtained from the National Water Quality Monitoring Program (NWQMP), the Ministry of Environment, Korea (MEK). The parameters used in the study were biological oxygen demand (BOD), total suspended solids (TSS), electric conductivity (EC), and total phosphorus (TP).

2.3. Physical Habitat Analysis

The habitat health was evaluated by Qualitative Habitat Evaluation Index (QHEI) which was developed by Plafkin et al. [7]. We selected eleven habitat parameters, based on the previous references widely used. For the habitat assessments, we included primary, secondary, and tertiary components to the habitat model and the metrics are substrate structure and vegetation coverage, channel characteristics, bank characteristics and bank structure. All metric characteristics were described in the previous research by An et al. [8]. The health conditions of the habitat were judged by the summation of scores obtained from the eleven parameters and were ranked as excellent (A, 182 – 220), good (B, 124 – 168), fair (C, 66 – 110), and poor (D, 8 – 52) conditions.

Total mercury concentrations in various fish tissues such as liver, kidney, gill, vertebra, and muscle were analyzed by direct mercury analyzer (DMA-80, US EPA Method 7473), and the target fish was Zacco platipus.

The method 7473 of US EPA was known as a spectroscopic analytical method which has no pre-treatments of samples and directly ignite at high temperatures. Samples of fish tissues were analyzed by the DMA-80, based on thermal decomposition, catalytic reduction, and amalgamation desorption. The fish tissues were initially dried in the oxygen stream passing through a quartz tube located inside a controlled heating coil under the condition of oxygen supplies as a carrier gas to each cylinder. The mercury content was determined using a single beam spectrophotometer with two sequential, flow-through measurement cells under the condition of 254 nm.

2.4. Biological Integrity Model

In this study, we adapted eight metric model, which is the Index of Biological Integrity (IBI) instead of 12 metrics, originally suggested by Karr[4]. We modified the model for the regional application of Geum River Watershed. The metrics (M) were composed of three major groups such as ecological characteristic and species composition, trophic composition, and fish abundance and health condition. Metric scores of 1, 3, or 5 were assigned to each of the raw metric values after the approach of US EPA. Each metric and criteria characteristics were described in the previous research by An et al. (2006) [8]. These scores were then summed to obtain a site-specific model value that ranged from 8 to 40, and categorized with four ranks (Excellent, A, 36 – 40; Good, B, 26 – 35; Fair, C, 16 – 25; Poor, D, 8 – 15) to be used.

3 Results and Discussion

3.1. Stream Water Quality

Data analysis of chemical water quality showed that (Fig. 1), BOD as a measure of usually organic pollution averaged 2.1 ㎎ L-1 and ranged between 0.1 and 12.9 ㎎ L-1 (n = 1188), indicating relatively good condition by the criteria of MEK showed a large variation along the longitudinal gradients of upstream to downstream. BOD in the upstream area was below 1 ㎎ L-1 but BOD in some sites (G15) was> 6.0 ㎎ L-1 due to the industrial complex and waste water treatment plant. Also the stream of G21 was greatly degraded, just after by the confluence of Mi-ho Stream and Gap Stream in the aspect of Geum River. Then, it was averaged about 3 ㎎ L -1 except a few sites. Thus, organic pollution was getting worse in gradient from up to downstream reach.

Total phosphorus (TP), as an indicator of trophic state, averaged 0.149 ㎎ L-1 and ranged between 0.000 and 3.216 ㎎ L-1 depending on the presence of the point- and nonpoint sources. TP also was low in upstream reach as shown in the BOD (TP < 0.5 ㎎ L -1).

3.2. Physical Habitat Health

In the mainstream of Geum River, overall, it tends to be degrading slowly for habitat condition along the gradient from up to downstream. QHEI value in mainstream was averaged 155 (n = 12), showing higher than QHEI average of entire survey. It was scored mean 174 (n = 6) with excellent - good condition indicating that physical habitat maintained well until G16. However, it was averaged 120 (n = 6) with good - fair condition indicated minor habitat disturbance from G21 to G32. Particularly, downstream (G32) was proceeded severe habitat simplification derived from sedimentation of silt and organic matters and was constructed to be park along waterside area reflecting artificial disturbances by human activities (Table 1).

In tributaries of Geum River, QHEI value was averaged 138 (n = 21), caused by habitat deterioration from several sites. G03 (QHEI: 110) was maintained well in habitat condition but affected by disturbances from human activity such as weir and some recreational parks, located in the stream. In Gap Stream (G13 – G15), typical urban stream, it was proceeded organic sedimentation and disturbances occurred by residential effluents and recreational park in G14 (QHEI: 101). In G17 (101) and G18 (96), it was simplified by sand for stream substrate and was affected by flow reduction related to seasonal factors.

3.3. Total Mercury Concentrations in Zacco platypus

Tissue analysis (liver, gill, kidney, vertebra, muscle) of Zacco platypus, sampled from 33 streams showed that the mercury levels were different with the regional characteristics in the watershed. When [Hg] levels in each tissue were converted to the relative proportion to compare differences among 5 tissues (Fig. 2).

According to the tissue sample analysis, the mean level of [Hg] was the highest in the muscle (34.9%) and the lowest in the gill (7.1%).

In our study, there was no high correlation ([Hg] vs IBI, r = 0.371, p = 0.034) between total [Hg] and IBI values. However, high levels of [Hg] were observed where IBI values were high Therefore, [Hg] concentrations in fish tissue was not directly related with IBI value for ecological health assessments, QHEI values for habitat evaluations and chemical water quality. In fact, [Hg] levels in our study did not affect fish individual itself when we compared the level with [Hg] standard of US EPA guideline. Hence, this [Hg] parameter could not respond with evaluation method under the fish community level and standard water quality assessment.



3.4. Biological Health Using Fish Model

Multi-metric fish model values of the Index of Biological Integrity (IBI) averaged 24.4 (range: 12 - 34, n = 33) and categorized as a “fair condition” in the biological health (Table 2). In this study, pristine streams were rare and meso-eutrophic conditions were general. However, two streams of Gap stream and Miho stream, passing through the urban area, were more degradated, compared to the streams of upper regions (Fig. 3). Thus, stream channelization and nutrient enrichments directly influenced the stream degradations in the urban area. Thirteen streams, located in the lowland area were categorized as a fair - poor condition except a few streams. Though there were some regional differences, consequently, the habitats and water quality in the upper streams and rivers were maintained well and the degration sites were rare. In contrast, the mid- to down-streams and rivers, influenced by rurban area and industrial complex had large dedegradations [9]. We found that fish compositions and fauna were influenced by human activities and habitat simplification with sand sedimentation in the watershed. Overall, our study suggests that the stream/river degradation is a combined effect of physical habitat modifications (disturbance) and chemical pollutions.

References:

[1] Lee, C.L. 2001. Ichthyofauna and Fish Community from the Gap Stream Water System, Korea. Korean J. Environ. Biol. 19: 292-301.

[2] Yoder, C.O. 1991. The integrated biosurvey as a tool for evaluation of aquatic life use attainment and impairment in Ohio surface waters. EPA/440/5-91/005. USEPA, Wasington, DC, USA p 110-122.

[3] Boon, P.J. 2000. The development of integrated methods for assessing river conservation value. Hydrobiologia 422: 413-428.

[4] Karr, J.R. 1981. Assessment of biotic integrity using fish communities. Fisheries 6: 21-27.

[5] MEK. 2006. Researches for integrative assessment methodology of aquatic environments (Ⅲ) : Development of aquatic ecosystem health assessment and evaluation system. National Institute of Environmental Research (NIER). Incheon, Korea

[6] Strahler, A.N. 1957. Quantitative analysis of watershed geomorphology. Trans. Am. Geophys. Union. 38: 913-920

[7] Plafkin, J.L., M.T. Barbour, K.D. Porter, S.K. Gross and R.M. Hughes. 1989. Rapid bioassessment protocols for use in streams and rivers: benthic macroinvertebrate and fish. EPA/444/4-89-001. Office of water regulations and standards US EPA, Washington DC, USA.

[8] An, K.G., J.Y. Lee, D.Y. Bae, J.H. Kim, S.J. Hwang, D.H. Won, J.K. Lee and C.S. Kim. 2006. Ecological assessments of aquatic environment using multi-metric model in major nationwide stream watersheds. J. KSWQ. 22: 796-804.

[9] An, K.G. and W.M. Yang. 2007. Water Quality Characteristics in Keum River Watershed. Korean J. Limnol. 40: 110-120.


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Fig. 1 Chemical analysis of water quality along with entire sites in Geum River Watershed


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Fig. 2 Relative contribution of total [Hg] in sentinel species ( Zacco platypus) among each tissue


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Fig. 3 Relations of the IBI to each model metric


Table 1. Qualitative Habitat Evaluation Index (QHEI) based on 11-metrics in Geum River Watershed


Table 2. The Index of Biological Integrity (IBI), based on 8 metric models after Karr (1981) at thirty-three sampling sites in Geum River Watershed