Abstract
Eastern Black Sea Region of Turkey is a sub-ecoregion of the Caucasus Ecoregion, and its Plecoptera fauna is similar to fauna of Caucasus with unique endemic species of the region. The Caucasus Ecoregion is one of the “WWF Global 200 Ecoregions,” and it is also included in the list of top 25 hotspots in the World. Running water ecosystems of Eastern Black Sea sub-ecoregion are the most sensitive to land use change and global climate change. High-altitude aquatic ecosystems are more strongly threatened by global climate change in the region. Plecoptera constitute the most important part of the biodiversity of running waters in the region. Among the benthic macroinvertebrate taxa, Plecoptera is the best indicator of ecological conditions of running waters. The influence of environmental variables on the distribution of twenty Plecoptera species in running water ecosystems (headwaters, crenon, epirhithron, metarhithron) was assessed using canonical correspondence analysis. Sampling was carried out in 2009 and 2011. Eleven end groups were generated from the TWINSPAN analysis. Isoperla rhododendri, Isoperla grammatica, Protonemura bifida, Protonemura eumontana and Perla caucasica were closely related to pH, dissolved oxygen and riparian vegetation. Brachyptera transcaucasica transcaucasica, Nemoura martynovia, Nemoura taurica and Protonemura eumontana were related to Mg and Cu. The results show that the Plecoptera assemblage composition was affected by DO, pH, EC, temperature, nitrite, Ca, Mg, Fe, Cu, Zn, Al, riparian vegetation, altitude and stream width.
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Introduction
Freshwater ecosystems are used in following categories through human history (Juuti et al. 2007): (1) vital needs, (2) agriculture and farming, (3) industrial use, (4) transportation and (5) aesthetic and cultural use.
Freshwater resources are deteriorating due to high demographic growth and their use without conservation planning in many parts of the world. The essential part of management plans of river basins is biological assessment and monitoring of water quality. The various methods have been used for the biological assessment of water quality of running waters from the beginning of the twenty century.
The European Water Framework Directive (WFD) (Council of European Countries 2000) uses the components of fauna and flora of aquatic ecosystems as Biological Quality Elements (BQE) for determination of ecological status. BQE are the basic elements for water quality, while the hydromorphological and physicochemical characteristics are used as supportive variables.
Plecoptera has an important position in the methods of biological assessment of water quality evaluation in running waters. Because they are indicators of xenosaprobic and oligosaprobic habitats within the saprobic system and their use in the ecoregional biomonitoring is mandatory. According to Darilmaz et al. (2016), Turkish Plecoptera fauna contains 117 taxa belonging to 24 genera and 7 families. One of the difficulties in preparation of the ecoregional multimetric indices including Plecoptera species is the lack of information of their distribution and ecology (Kazancı 2008).
Various water quality variables of running waters influence the distribution of Plecoptera species. Determination of the relationships between Plecoptera species and environmental variables is compulsory for their indicative use of habitat quality.
The goal of this research was to evaluate the influence of environmental variables on the distribution of Plecoptera species in running water ecosystems of Eastern Black Sea sub-ecoregion of Caucasus ecoregion.
Materials and methods
Eastern Black Sea Region of Turkey was selected as study area (Fig. 1). In this area, there are many undisturbed freshwater habitats and unpolluted streams, which are mainly preferred by plecopteran species. This area is also important because of being a part of Caucasus Biodiversity Hotspot.
Sampling was carried out in 27 sampling sites at the beginning of June 2009 and at the beginning of July 2011. Samples were collected by sweeping adults from riparian vegetation. Dissolved oxygen (YSI 550 oxygen meter), temperature, pH and conductivity (YSI multiprobe system) were measured in the field (Fig. 2). Calcium and magnesium hardness, NO2–N, Zn, Al, Fe2+, Cu (DR/890 data logging colorimeter) were measured according to HACH (2005) (Figs. 3, 4). Leica MZ75 binocular stereo microscope was used for identifications. Zhiltzova (2003), Zwick (1971), Teslenko and Zhiltzova (2009) were mainly used for identifications.
Certain geological characteristics which are required by WFD for System A and System B classifications and certain other necessary physical characteristics of sampling sites were given in Table 1.
The relationships between 20 Plecoptera species and environmental variables were investigated by canonical correspondence analysis (CCA, Fig. 5) (ter Braak 1987; Jager and Looman 1995; Jongman et al. 1995; Lepš and Šmilauer 1999). Data sets were classified by two-way indicator species analysis (TWINSPAN, Fig. 6) (Hill 1979; Lepš and Šmilauer 1999).
Results and discussion
Values of physicochemical variables, such as dissolved oxygen, temperature, pH, electrical conductivity, concentration of NO2–N and concentration of heavy metals, Zn, Al, Fe2+, Cu, Calcium and magnesium hardness, were shown in Figs. 2, 3 and 4.
CCA
Quadrant A
P. caucasica, P. pallida, I. bithynica, P. eumontana, P. bifida and I. rhododendri were related to dissolved oxygen and pH in Quadrant A, but I. rhododendri was also related closely to Ca hardness (Fig. 5). P. caucasica is a widespread species and was recorded from Ankara, Artvin, Balıkesir, Eskişehir, Muğla, Antalya, Artvin (Kazancı 1994); Ankara, Bayburt, Bolu, Giresun, Rize (Kazancı 2012, 2013). Cherchesova et al. (2012) recorded P. caucasica from polluted sites in Kabarda-Balkarian Republici in the Central Caucasus. According to this study, P. caucasica is able to live in extremely polluted running waters. Khazeeva (2010) reported P. caucasica from Urukh River Basin (Northern Slopes of the Central Caucasus) which is slightly affected by pollution. P. caucasica was recorded from unpolluted upstream region and slightly polluted downstream region. In this study, P. caucasica was recorded from Site 20. The water quality of this collecting site was high with high concentration of dissolved oxygen (11.92 mg/L) and low concentration of nitrate and nitrite (0.067 and 0.002 mg/L, respectively). Kazancı and Dügel (2010) stated that P. caucasica was related to dissolved oxygen, cadmium and pH using CCA from low-order Mediterranean streams in the Köyceğiz-Dalyan Nature Reserve which is an important wetland area in Eastern Mediterranean Region. In this study, P. caucasica was also closely related to dissolved oxygen in CCA diagram. The environmental preferences of P. bifida are unknown, but P. bifida closely related to pH and dissolved oxygen in CCA diagram. According to Cherchesova et al. (2012), Perla pallida is a common species in Kabarda-Balkarian Republici in the Central Caucasus. They found this species in spring rivers in the foothills (450–650 m above sea level). P. pallida prefers xenosaprobic and oligosaprobic environments mainly, but it was also found in beta-mesosaprobic environments (CSN 75 (7716) 1998; Sporka 2003). In this study, P. pallida was recorded in metarhithron between 507 and 568 m. Eucrenon, hypocrenon, epirhithron and metarhithron are stream zonation preference of this species (Graf et al. 2009, 2016). Girgin et al. (2010) reported two Perla species were related to pH from epirhithral zone of an urban stream. Cherchesova et al. (2012) recorded I. bithynica from polluted and unpolluted running waters. Khazeeva (2010) reported I. bithynica from unpolluted upstream region of Urukh River Basin which is slightly affected by pollution. In this study, I. bithynica was closely related to dissolved oxygen and pH in CCA diagram.
Leu_min | Leuctra minuta minuta | Zhiltzova, 1960 | Pro_mic | Protonemura microstyla | Martynov, 1928 |
Leu_asp | Leuctra aspoeckorum | Theischinger, 1976 | Bra_tra | Brachyptera transcaucasica transcaucasica | Zhiltzova, 1956 |
Leu_sip | Leuctra sipahilerae | Vinçon and Sivec, 2001 | Ple_sak | Plesioperla sakartvella | (Zhiltzova, 1956) |
Nem_mar | Nemoura martynovia | Claassen, 1936 | Iso_gra | Isoperla grammatica | (Poda, 1761) |
Nem_tau | Nemoura taurica | Zhiltzova, 1967 | Iso_rho | Isoperla rhododendri | Zhiltzova, 1956 |
Nem_car | Nemoura carpathica | Illies, 1963 | Iso_bit | Isoperla bithynica | (Kempny, 1908) |
Nem_cin | Nemoura cinerea turcica | Zwick, 1972 | Mar_vit | Marthamea vitripennis | (Burmeister, 1839) |
Pro_bac | Protonemura bacurianica | Zhiltzova, 1957 | Per_mic | Perlodes microcephalus | (Pictet, 1833) |
Pro_bif | Protonemura bifida | Martynov, 1928 | Per_cau | Perla caucasica | Guérin-Méneville, 1838 |
Pro_eum | Protonemura eumontana | Zhiltzova, 1957 | Per_pal | Perla pallida | Guérin-Méneville, 1838 |
Quadrant B
L. aspoeckorum and P. microcephalus were related to Zn, NO2 and Ca hardness in Quadrant B (Fig. 5). N. cinerea turcica was located closer to the center of the CCA diagram. This result indicated that none of the variables used in the CCA diagram affected this species occurrence in collecting sites. Plecoptera species are resistant to the effects of zinc (Jones 1958). Jones (1958) stated that Leuctra and Nemoura were abundant close to the zinc mine in Ystwyth River. The zinc concentration in the river was high and was up to 1.2 mg/L. The chronic influence of zinc on freshwater insects is indicated between 0.05 and 0.1 mg/L (IPCS 2001). In this research, zinc concentration was between 0.01 and 0.1 mg/L, while zinc concentration was 0.09 mg/L in collecting site of L. aspoeckorum and P. microcephalus. Leuctra aspoeckorum is an inhabitant of hypocrenon, epirhithron and metarhithron. This species also prefers streams in alpine region (2400–2900 m) (Zhitzova 2003). These data are compatible with properties of the collecting site in this study. Khazeeva (2010) reported P. microcephalus from brooks of unpolluted upstream region of Urukh River Basin (Northern Slopes of the Central Caucasus). P. microcephalus prefers oligosaprobic and beta-mesosaprobic environments mainly, but it was also found in xenosaprobic and alpha-mesosaprobic environments (Graf et al. 1995, 2002). In this research, P. microcephalus was recorded from headwaters of İkizdere Stream. Graf et al. (1995, 2002) reported that the stream zonation preference of this species is epirhithron mainly, but metarhithron, hiporhithron, epipotamon and metapotamon can be found. In this study, this species was recorded headwater (hypocrenon) streams. Khazeeva (2010) reported N. cinerea from Urukh River Basin (Northern Slopes of the Central Caucasus) which is slightly affected by pollution. N. cinerea was recorded from unpolluted upstream region and slightly polluted downstream (piedmont) region Khazeeva (2010). The environmental preferences of N. cinerea turcica are unknown.
Quadrant C
B. transcaucasica transcaucasica, L. sipahilerae, N. taurica, N. martynovia, P. bacurianica bacurianica and P. sakartvella were related to Cu and Mg hardness in Quadrant C (Fig. 5). The negative effects of low concentrations (as low as 5 µg/L) of Cu on benthic macroinvertebrate species richness were reported (Leland et al. 1986). According to USEPA (1984), total dissolved copper concentration should be less than 0.01 mg/L for conservation of aquatic life. According to USEPA (2005), the limit values of copper for aquatic life fluctuate in the range 0.0065–0.021 mg/L. The highest concentration of Cu was 0.06 mg/L in this study. Cherchesova et al. (2012) reported B. transcaucasica from the upper reach of Nalchik-river and from the polluted glacial river Urukh in Kabarda-Balkarian Republici the Central Caucasus. According to Cherchesova et al. (2012), B. transcaucasica is able to live in polluted running waters. In this study, B. transcaucasica transcaucasica was recorded from Site 3 and Site 4. The water quality of these sites was high according to nitrate (0.045 mg/L in Sites 3 and 4) and nitrite (0.0012 mg/L in Site 3 and 0.0021 mg/L in Site 4). Concentration of Cu was higher (0.03 mg/L in Site 3 and 0.06 mg/L in Site 4), and B. transcaucasica transcaucasica was closely related to Cu in CCA diagram. L. sipahilerae was also closely related to Cu and Mg hardness in CCA diagram. This species was recorded from headwaters of Altındere Stream and from main stem of Altındere Stream in Maçka, Trabzon. L. sipahilerae is an endemic species in Eastern Black Sea Region. The ecological knowledge of L. sipahilerae was given in the present study, for the first time. Khazeeva (2010) reported N. martynovia from Urukh River Basin (Northern Slopes of the Central Caucasus) which is slightly affected by pollution. N. martynovia was recorded from unpolluted upstream region and slightly polluted downstream region. The saprobic preferences of N. taurica, N. martynovia, P. bacurianica bacurianica and P. sakartvella are unknown. The knowledge of saprobic preferences of these species was given in the present study, for the first time.
Quadrant D
I. grammatica, P. microstyla, L. minuta minuta and N. carpathica were related to conductivity, Al, Fe2+ and temperature in Quadrant D (Fig. 5). M. vitripennis was recorded in Site 14 on Çekerek Stream which was one of the main tributaries of Yeşilırmak River affected by anthropogenic activities (Kazancı et al. 2012). Site 14 was located separately from other sites by different habitat structures and by different physicochemical characteristics. M. vitripennis was recorded only in this site as the indicator species. Moroz et al. (2006) reported I. grammatica from hypopotamon of Berezina River in Belarus. Berezina River has high content of iron (1.08 mg/L), and the mineralization of water varies between 240 and 330 mg/L in the high water seasons. The ecological characteristics of Berezina River indicated that I. grammatica prefers environments with high temperature, high conductivity and high concentration of iron. According to the results of CCA diagram, I. grammatica was related to conductivity, Al, Fe2+ and temperature in this study. In collecting site of I. grammatica (Site 1), pH was 6 and conductivity was 523 µS/cm. According to these results, I. grammatica can live in a disturbed environment. Dow and Zampella (2000) reported that the joint and individual use of pH and conductivity data could provide a quick assessment of the watershed disturbance variability among sites. Daniel et al. (2002) showed that the average value of conductivity in pristine sites was between 50 and 100 µS/cm and in the most disturbed sites was between 400 and 600 µS/cm. They also assumed a conductivity of 250 µS/cm as an intermediate value of urban land use effects. L. minuta minuta was the recorded from Site 1 and Site 5. These sites were impacted by anthropogenic activities. In Site 1, pH was 6.5 and conductivity was 287 µS/cm, and in Site 5 pH was 5.5 and conductivity was 38 µS/cm. According to these results, L. minuta minuta can live in an environment which is slightly or moderately impacted by human activities. The saprobic preferences of P. microstyla and L. minuta minuta are unknown. The knowledge of saprobic preferences of these species was given in the present study, for the first time. N. carpathica prefers xenosaprobic and oligosaprobic environments (CSN 75 (7716) 1998; Sporka 2003). In this research, N. carpathica was closely related to the water temperature.
TWINSPAN grouping
P. bacurianica and N. martynovia were the indicators of Sites 14, 6, 9, 24, 3, 4, 10, 2, 11, 15, 1 and 5. M. vitripennis was the indicator of Site 14 on Çekerek Stream which was one of the main tributary of Yeşilırmak River affected by anthropogenic activities and has a different habitat structure (Kazancı et al.2012). Site 14 was located separately from other sites by different habitat structure and by different physicochemical characteristics in CCA and TWINSPAN. M. vitripennis was recorded in this site as the indicator species. B. transcaucasica transcaucasica and P. bacurianica were the indicators of Sites 6, 9, 24. B. transcaucasica transcaucasica was the indicator of Sites 3, 4 and 10. L. minuta minuta and N. martynovia were the indicators of Sites 2, 11 and 15. The conductivity of Sites 2, 11 and 15 was 145, 556 and 709 µS/cm, respectively. According to Daniel et al. (2002), these electrical conductivity values indicate disturbed habitats. Therefore, these sites were influenced by anthropogenic disturbances. L. minuta minuta was the indicator of Site 1 and Site 5. These sites were slightly impacted by anthropogenic activities except Sites 6 (pH was 5, and conductivity was 99 µS/cm) and 15 (pH was 6.69, and conductivity was 709 µS/cm). P. eumontana, P. bifida, N. cinerea turcica were the indicators of Sites 20, 21, 22, 17, 23, 16, 25, 26, 18, 19, 7, 8, 12, 13 and 27. P. caucucasica and P. pallida were the indicators of Sites 20, 21 and 22. These sites were on the main stem of Fırtına Stream, and their physicochemical and hydromorphological characteristics were similar. These sites were not influenced by human impacts. P. eumontana and P. bifida were the indicators of Site 17 and Site 23. P. eumontana was also the indicator of Sites 18 and 19, which were unimpacted headwaters of Fırtına Stream. P. bifida was also the indicator of Sites 16, 25 and 26 on headwaters of İkizdere Stream. The physicochemical and hydromorphological characteristics of these sites were similar to dense riparian vegetation without human impacts. L. aspoeckorum was the indicator species of Site 27 without human impacts. This site was located in the headwater region of İkizdere Stream.
Conclusion
Various anthropogenic activities threaten the aquatic fauna of running waters. In particular, rhithral region of running waters which contains reference habitats is much more sensitive to global climate change and sensitive macroinvertebrate taxa might disappear due to the increase in temperature and floods. Many Plecoptera species that are adapted to cold waters of upstream regions are severely threatened by global climate change.
The physical disturbance due to floods and agricultural pollution as a result of intensive tea plantation are the most effective reasons of habitat degradation of running waters and diversity loss of Plecoptera in Eastern Black Sea Region.
Detailed information about Plecoptera fauna and ecological preferences of species is necessary in the preparation of ecoregional biotic indices. The currently available knowledge on the effects of different environmental variables on the community structure of Plecoptera species is not sufficient. This research will be helpful to complete some of the missing ecological information of Plecoptera species.
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Acknowledgements
This research was supported by Hacettepe University Research Foundation (BAP) (Project title: “Constitution of biotic index for long-term biomonitoring of water quality for Yeşilırmak River by using benthic macroinvertebrates” and Project No. 07 01 601 005).
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Kazanci, N., Turkmen, G., Ekingen, P. et al. Evaluation of Plecoptera (Insecta) community composition using multivariate technics in a biodiversity hotspot. Int. J. Environ. Sci. Technol. 14, 1307–1316 (2017). https://doi.org/10.1007/s13762-017-1245-y
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DOI: https://doi.org/10.1007/s13762-017-1245-y