Macrophyte species composition in streams of Latvia under different flow and substrate conditions/Makrofuutide liigiline koosseis Lati vooluvetes erineva voolukiiruse ja substraadi tingimustes.
Streams are heterogeneous environments with differences in physical and chemical parameters. Different studies worldwide obviously indicate that the knowledge of the macrophyte species composition and abundance provides important information on the aquatic ecosystem (e.g., Best, 1995; Dawson & Szoszkiewicz, 1999; Baatrup-Pedersen et al., 2003). Macrophytes are a key component in the functioning of streams where they grow in relatively high abundance (Clarke, 2002).
The physical stream environment has a major impact upon the development and growth of submersed macrophytes (Baatrup-Pedersen & Riis, 1999). In shallow, low-energy streams where macrophytes are able to grow abundantly, plants greatly influence the functioning of the ecosystem (Sand-Jensen et al., 1989). Substrate and flow velocity are the two most important factors influencing the distribution of macrophytes in streams. And vice versa, the growth of macrophytes has important impacts upon flow resistance, flow velocities, and sediment dynamics.
Macrophytes grow abundatly under such current velocity and in sediments where they can be best rooted and withstand the erosive force of the water during periodic scour events (Chambers et al., 1991). Velocity is an important controlling factor of substrate stability and composition of macrophytes. Several researchers have argued that flow velocity is the main factor in controlling macrophyte composition and biomass in streams (Westlake, 1967; Nilsson, 1987; Chambers et al., 1991; Riis & Biggs, 2003; Haslam, 2006). Flow velocity has often been found to affect the distribution of macrophytes in streams (e.g., Riis et al., 2000; Demars & Harper, 2005).
River surveys have indicated that many macrophyte species are associated with sediment of particular particle size (Holmes, 1983; Haslam, 2006). Substrate stability is a significant controlling factor because a stable substrate allows rooting and establishment of macrophyte communities. Mobile substrates prevent this, resulting in a limited potential for plant community development (Riis & Biggs, 2003; Haslam, 2006). Despite the apparent importance of water movement in regulating macrophyte communities in lowland rivers, the nature of the processes and the factors controlling their dynamics are not well understood (Franklin et al., 2008).
For an assessment of the ecological status of a stream using macrophytes a certain minimum plant quantity is required. The variability of macrophyte richness is linked to physical factors in the environment, which make an important contribution to the pattern of macrophyte distribution (Abou-Hamdan et al., 2005).
Since there are still numerous unaffected streams in Latvia, knowledge of the riverine vegetation in Latvia could be of regional importance on a European scale; for example, Baatrup-Pedersen et al. (2008) found a high similarity of species-based predictions in Denmark before intensive land use started there around 1900 with vegetation in Latvian and Lithuanian streams.
The aim of the study was to examine the role of different environmental factors in the formation of macrophyte vegetation in middle-sized lowland streams in Latvia, focusing on the importance of flow velocity and substrate type of streams. The objectives were to investigate the macrophyte vegetation at 131 stream sites throughout the country, and to supplement each survey with a description of environmental factors (substrate type, flow velocity, shading, stream width, and water depth).
MATERIAL AND METHODS
The study area covers the whole territory of Latvia. There is a dense network of streams in Latvia. The total number of streams is up to 12 500, of which only 17 exceed 100 km (Klavins et al., 1999). The streams are classified as lowland streams with averagely low flow velocities and modest hydrological variability. However, spring flow velocities may be high and summer velocities low. Streams are running through Quaternary sediments containing predominantly calcareous material, therefore in most cases the waters in streams in Latvia are highly alkaline.
In this study, middle-sized (catchment area 100-1000 [km.sup.2]) lowland streams according to the system A typology (European Commission, 2000) were studied. Vegetation and environmental variables were investigated at 131 stream sites (Fig. 1). Sampling sites were selected in stretches typical for the particular stream. The sites were selected on topographical maps (1 : 50 000) beforehand. According to the typology of streams in Latvia, the stream sites selected represent potamal and rithral stream types.
For each survey site data on the catchment area and altitude were obtained using the SIA Envirotech ArcGIS database.
[FIGURE 1 OMITTED]
Survey sites and macrophyte sampling
A field survey of aquatic macrophytes was performed in summers 2007-2009 during the vegetation period (25 June to 15 September). Sites were chosen to be representative for the characteristic conditions (stream velocity, substrate material, stream width, water depth) of the particular stream in the selected stretch. All regions of Latvia and all classes of stream ecological quality were included.
For macrophyte surveys a methodology developed for the STAR Standardization of River Classification project (Furse et al., 2006) was used because of the lack of standardized national methods. Sampling and sample processing were done according to the STAR protocols (Dawson, 2002).
The presence of macrophyte species in the selected stream stretch (100 m) was recorded together with their percentage cover using a nine-point scale according to the standard MTR methodology (Holmes et al., 1999). The study area was observed by wading over the whole stream bed or from the banks (mostly from both sides) in deeper streams, where a rake with a long handle was used for taking plants from the water. The macrophyte assessment was based on the presence and cover of submerged, emergent, floating-leaved, and free-floating vascular plants, bryophytes, and charophytes (Grinberga, 2010).
Flow velocity was estimated by following a four-grade scale: fast flow (> 0.4 m/s), medium fast flow (0.2-0.4 m/s), slow flow (< 0.2 m/s), no perceptible flow.
The sediment types were classified as follows: stones and boulders (>64 mm), gravel (2-64 mm), sand (0.06-2 mm), fine silt. Water depth was divided into four classes: 1 = < 0.25 m; 2 = 0.25-0.5 m; 3 = 0.5-1 m; 4 = >1 m.
A five-point scale was used for the estimation of the stream width: 1 = <1 m, 2 = 1-5 m; 3 = 5-10 m; 4 = 10-20 m; 5 = > 20 m, and a three-point scale for the estimation of the extent of the shading of the water surface: 1 = no shading over the water, 2 = shading present (< 33%), 3 = shading extensive (> 33%).
Relationships among environmental and vegetation variables were evaluated by Pearson correlation coefficients calculated by SPSS 12.0.1. (SPSS Inc., 2000). Analysis of Variance (ANOVA) was applied using SPSS to test differences between the cover of macrophytes and the number of taxa in five stream groups. The relationships between macrophyte species and environmental factors were performed with the program CANOCO (Leps & Smilauer, 2003) using Canonical Correspondence Analysis (CCA).
A total of 58 macrophyte taxa were found in the streams (Appendix). The most common macrophytes in all investigated streams were Nuphar lutea, found in 60% of all sites, followed by Sparganium emersum (59%), S. erectum s.l. (49%), Phalaris arundinacea (48%), Alisma plantago-aquatica (42%), Fontinalis antipyretica (36%), Lemna minor (35%), and Elodea canadensis (33%). The species richness ranged from 1 to 22 species per site.
Of all investigated sites 11% were fast-flowing streams, 40% medium fast, and 39% slow flowing. No perceptible flow was found in 10% of the sites.
The dominating sediment type in streams was gravel (55% of the sites). For gravelly streams a typical feature was presence of stones. No streams where stones and boulders dominated in the substrate composition were found. Sandy streams accounted for 29% and silty streams for 16% of the investigated streams. The greatest part of medium-sized streams were 0.5-1 m (52%) and 0.25-0.5 m (34%) deep. Very shallow streams (< 0.25 m) made up 6%, and deep ones (> 1 m) 8% of the selected streams.
The stream width varied from 1 to 20 m. Only one stream was very narrow (< 1 m), while 24% of the investigated streams were 1-5 m, 61% 5-10 m, and 15% 10-20 m wide.
Shading is present in long stretches of medium-sized streams in Latvia. In spite of efforts to find unshaded investigation sites there was no shading over the water only in 23% of the sites, while extensive shading occurred in 22% of the cases, and sites with shading present made up 55%.
CCA analysis revealed that the growth of macrophyte species in the investigated streams was most strongly dependent on the catchment area, altitude, and current velocity gradient (Fig. 2). The catchment area was most strongly related to species characteristic for deeper and larger streams, e.g. Potamogeton natans, P. pectinatus, Nymphaea candida, and others. Altitude was related to species mostly distributed in small, shallow streams, e.g. Callitriche sp., Veronica beccabunga, Potamogeton berchtoldii, and others.
On the basis of flow and substrate conditions five major groups of streams were distinguished representing mutually different macrophyte communities: (1) fast-flowing streams on gravelly substrate, (2) slow-flowing streams on gravelly substrate, (3) fast-flowing streams on sandy substrate, (4) slow-flowing streams on sandy substrate, and (5) slow-flowing streams with soft, silty substrate.
The number of investigated stream sites in each group varied from 18 to 37 (Table 1). The mean species richness and mean macrophyte cover in a stream were the highest in Group 2, followed by Group 1 (Table 1).
For each group of streams five most common species are given in Table 2. The vegetation in Group 1 was dominated by Fontinalis antipyretica (78% of the sites), Nuphar lutea (70%), and Sparganium emersum (70%). In Group 2, Nuphar lutea (66% of the sites), Sparganium emersum (55%), Sparganium erectum s.l. (53%), and Lemna minor (50%) were present in at least 50% of the sites. In the fast-flowing sandy streams (Group 3) only Sparganium emersum (94%) occurred in high abundance. The macrophytes in Group 4 were dominated by Phalaris arundinacea and Sparganium erectum s.l. (78% and 72% of the sites, respectively).
[FIGURE 2 OMITTED]
In Group 5 the dominant species was Nuphar lutea, which was present in 86% of the sites. In both Group 4 and Group 5 Nuphar lutea, Sparganium erectum s.l., and S. emersum occurred in at least 50% of all sites.
There was a significant correlation between most of the environmental variables and the number of macrophyte taxa (Table 3). Stream depth was positively correlated with substrate and stream width. Stream velocity was negatively correlated with catchment area. Analyses showed positive correlations between number of taxa and stream width and catchment area, while number of taxa and macrophyte cover negatively correlated with shading and altitude. Both number of taxa and macrophyte cover negatively correlated with substrate.
ANOVA did not reveal statistically significant difference between the number of taxa in stream groups (F = 1.5; p = 0.14 > 0.05) and between macrophyte cover and stream groups (F = 1.13; p = 0.33 > 0.05). The greatest number of macrophyte taxa (Fig. 3) was found in streams of Group 2 followed by Group 1, while Group 3 and Group 5 were characterized by a low species number (Fig. 3).
The greatest range of macrophyte cover was associated with Group 2, followed by groups 1 and 4 (Table 1). Group 3 had a very low macrophyte cover. Differences between values of Group 3 and Group 4 (both with sandy substrate), as well as Group 1 and Group 2 (both with gravelly substrate) indicate that stream velocity plays a crucial role in the formation of macrophyte vegetation in streams.
Alisma plantago-aquatica, Elodea canadensis, Nuphar lutea, Sparganium emersum, and S. erectum s.l. were detected in all groups of streams, which indicates their flow resistance and indifference to many environmental factors.
Fontinalis antipyretica was dominating and common in both fast- and slow-flowing streams on gravelly substrate (found in 78% and 39% of the stretches, respectively). However, it was infrequently present also in streams dominated by silty substrate, where it grew on boulders and decaying trees fallen into water.
The free-floating macrophyte species such as Lemna minor, L. gibba, L. trisulca, and Spirodela polyrhiza were limited by stream velocity. They reached their highest abundances in slow-flowing streams with sandy and soft, silty substrate.
The macrophyte composition in streams on sandy substrate significantly differed from the other sites. In fast-flowing streams on sandy substrate (Group 3) the macrophyte composition was species poor, with a sparse cover (Table 1).
[FIGURE 3 OMITTED]
In numerous studies it is found that there is not a single and most significant factor explaining the spatial patterns and composition of macrophyte communities. Several researchers have concluded that each individual species shows its own preferences for environmental factors (e.g., Madsen et al., 2001; Barendregt & Bio, 2003; Haslam, 2006). Willby et al. (2000) concluded that plant morphology is closely related to environmental factors in streams. Therefore, there is a necessity to increase the knowledge of stream vegetation, particularly of reference vegetation related to bioindication systems (Daniel et al., 2006).
The results of the present study in medium-sized streams in Latvia revealed that one of the most important factors affecting macrophytes was shading. This finding agrees with the conclusions of other investigations (e.g., Barko et al., 1986; Canfield & Hoyer, 1988; Trei & Paal, 2004). Despite efforts to choose less shaded stretches of streams, finding unshaded stretches was not possible in several streams (22% of the investigated stretches) due to natural site conditions.
Substrate type is another crucial factor influencing the number of species and macropophyte cover. Substrate stability is a significant controlling factor, because a stable substrate allows rooting and establishment of macrophyte communities (Riis & Biggs, 2003; Haslam, 2006). Substrate appeared to be the most important measured environmental variable distinguishing plant communities in Danish lowland streams (Baatrup-Pedersen et al., 2003). Bottom substrate was also found to be the most important common parameter discriminating the habitat types of several drainage basins in Estonia (Paal et al., 2007). In medium-sized streams in Latvia the frequency of submerged macrophytes was higher in streams with gravelly substrate where the water depths varied from 0.25 to 0.5 m.
In summer no large differences in current velocities in medium-sized streams of Latvia were found. The velocity was approximately up to 0.5 m/s, which is the optimal velocity for macrophyte growth. Current velocity had a stronger impact on vegetation in sandy streams because sand particles are more easily eroded, whereas larger particles require faster currents to initiate movement.
Stream stretches with low water velocity offer lake-like conditions, where other factors, e.g. water chemistry and light availability, might be more responsible for determining macrophyte diversity than current velocity and substrate type. Group 5, characterized by slow stream and soft, silty substrate, displayed a low diversity of macrophytes and their growth forms, where floating-leaved and free-floating macrophytes were frequent.
In sandy streams mosaic patches of Sparganium emersum and Elodea canadensis dominated, sparsely accompanied by Veronica beccabunga and emergent plants on the littoral. In such streams the species composition and abundance varied among different years, because the habitats were strongly modified by spring floods. This agrees with the experience of Bornette et al. (1994) and Riis et al. (2000), who found that in sandy streams the richness and diversity of aquatic vegetation are lower than in gravelly streams.
Sparganium emersum was the most common species in study sites growing in all groups of streams. It is deeply rooted and tolerant against disturbance (Preston & Croft, 2001), and therefore frequently occurred in fast-flowing sandy streams, where the growth of other species is limited by mobile substrate.
In Latvia no assessment system for stream macrophytes has been developed yet. Insufficient data on the macrophyte vegetation and its species composition in Latvian streams hinders both establishment of a suitable assessment system and implementation of a proper assessment. Results of studies in other countries suggest that a reliable bioindication system for water quality requires characterization of the relationships between the physical features of the river and its macrophytic vegetation (Daniel et al., 2006).
If a certain quantity of plants is not found in a stream, assessment of the water quality of this stream is impossible. In that case, the macrophyte component must be excluded from the classification of the entire quality element (Schaumburg et al., 2004). Results of this study indicate that in fast-flowing sandy streams in Latvia, macrophytes are not a suitable component of methods for quality assessment. It partially corresponds to the results by the Estonian researchers who found that it is rather doubtful to develop a reliable sample or system of indicator species for European oligo-mesotrophic to meso-eutrophic lowland water courses rendering evaluation of general water parameters of habitat characteristics (Paal et al., 2007).
MACROPHYTE TAXA WITH ABBREVIATIONS FOR CCA ANALYSES Taxon * Abbreviation Acorus calamus L. Aco_cala Alisma plantago-aquatica L. Ali_plan Amblystegium riparium (Hedw.) B., S. et G. Amb_ripa Batrachium circinatum (Sibth.) Spach Bat_circ Batrachium sp. Bat_spec Batrachium trichophyllum (Chaix) Bosch Bat_tric Berula erecta (Huds.) Coville Ber_erec Butomus umbellatus L. But_umbe Callitriche cophocarpa Sendtn. Cal_coph Callitriche sp. Cal_spec Callitriche stagnalis Scop. Cal_stag Chara contraria A. Braun ex Kutz Cha_cont Chara globularis Thuill. Cha_glob Chara sp. Cha_glob Cicuta virosa L. Cic_viro Elodea canadensis Michx. Elo_cana Equisetum fluviatile L. Equ_fluv Fontinalis antipyretica Hedw. Fon_anti Glyceria fluitans (L.) R. Br. Gly_flui Glyceria maxima (Hartm.) Holmb. Gly_maxi Hippuris vulgaris L. Hip_vulg Hottonia palustris L. Hot_palu Hydrocharis morsus-ranae L. Hyd_mors Iris pseudacorus L. Iri_pseu Lemna gibba L. Lem_gibb Lemna minor L. Lem_mino Lemna trisulca L. Lem_tris Mentha aquatica L. Men_aqua Myriophyllum spicatum L. Myr_spic Nuphar lutea (L.) Sm. Nup_lute Nymphaea candida C. Presl. Nym_cand Nymphaea sp. Nym_spec Phalaris arundinacea L. Pha_arun Phragmites australis (Cav.) Trin. ex Steud. Phr_aust Potamogeton alpinus Balb. Pot_alpi Potamogeton berchtoldii Fieber Pot_berc Potamogeton crispus L. Pot_cris Potamogeton gramineus L. Pot_gram Potamogeton lucens L. Pot_luce Potamogeton natans L. Pot_nata Potamogeton pectinatus L. Pot_pect Potamogeton perfoliatus L. Pot_perf Potamogeton praelongus Wulfen Pot_prae Potamogeton sp. Pot_spec Rorippa amphibia (L.) Besser Ror_amph Sagittaria sagittifolia L. Sag_sagi Scirpus lacustris L. Sci_lacu Sium latifolium L. Siu_lati Sparganium emersum Rehmann Spa_emer Sparganium erectum s.l. L. Spa_erec Sparganium minimum Wallr. Spa_mini Sparganium sp. Spa_spec Spirodelapolyrhiza (L.) Schleid. Spi_poly Typha latifolia L. Typ_lati Utricularia sp. Utr_spec Utricularia vulgaris L. Utr_vulg Veronica anagallis-aquatica L. Ver_anag Veronica beccabunga L. Ver_becc * According to Gavrilova & Sulcs, 1999; Abolina, 2001; Zviedre, 2007.
I am grateful to all my colleagues and friends for help in field surveys. This study was financially supported by the European Social Fund (agreement No. 2009/0138/1DP/188.8.131.52.2/09/IPIA/VIAA/004).
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Institute of Biology, University of Latvia, Miera Str. 3, LV-2169, Salaspils, Latvia; email@example.com
Received 8 October 2010, revised 25 February 2011
Table 1. The frequency of aquatic macrophytes in stream groups (n = number of stream sites), total and mean number of taxa in a group, and mean macrophyte cover (%) of the stream groups Group 1 Group 2 Group 3 (n = 37) (n = 36) (n = 18) Total number of taxa * 44 46 26 Mean number of taxa 10 8 3.4 Mean cover, % 42 53 12 Species Acorus calamus 4 1 -- Alisma plantago-aquatica 24 15 7 Amblystegium riparium -- 3 -- Batrachium sp. 13 6 1 Batrachium trichophyllum -- 1 1 Berula erecta 6 3 -- Butomus umbellatus 8 10 -- Callitriche sp. 9 6 3 Chara contraria 1 1 -- Chara globularis 3 4 -- Chara sp. 1 2 -- Cicuta virosa 4 -- -- Elodea canadensis 10 17 7 Equisetum fluviatile 5 7 1 Fontinalis antipyretica 29 14 5 Glyceria fluitans 9 4 2 Glyceria maxima 2 5 -- Hippuris vulgaris 2 4 -- Hydrocharis morsus-ranae 2 1 -- Iris pseudacorus 3 6 -- Lemna gibba 1 6 -- Lemna minor 19 18 2 Lemna trisulca 9 9 2 Mentha aquatica 16 14 3 Myriophyllum spicatum 6 4 -- Nuphar lutea 26 24 4 Phalaris arundinacea 21 15 6 Phragmites australis 10 7 3 Potamogeton alpinus 11 6 1 Potamogeton berchtoldii -- 2 -- Potamogeton crispus 1 -- -- Potamogeton gramineus 1 1 1 Potamogeton lucens 3 4 -- Potamogeton natans 4 1 -- Potamogeton perfoliatus 11 8 1 Potamogeton praelongus 6 2 1 Potamogeton sp. 6 2 -- Rorippa amphibia 13 7 1 Sagittaria sagittifolia 13 14 2 Scirpus lacustris 17 13 -- Sium latifolium 15 13 2 Sparganium emersum 26 20 17 Sparganium erectum s.l. 22 19 4 Spirodela polyrhiza 7 9 1 Typha latifolia 2 5 -- Utricularia vulgaris -- 2 -- Veronica anagallis-aquatica 7 10 2 Veronica beccabunga 20 7 6 Group 4 Group 5 (n = 18) (n = 22 Total number of taxa * 36 32 Mean number of taxa 4.4 4.5 Mean cover, % 37 32 Species Acorus calamus -- -- Alisma plantago-aquatica 9 8 Amblystegium riparium -- -- Batrachium sp. 2 1 Batrachium trichophyllum -- -- Berula erecta 1 1 Butomus umbellatus 5 2 Callitriche sp. 4 2 Chara contraria 1 -- Chara globularis 2 -- Chara sp. -- -- Cicuta virosa -- -- Elodea canadensis 7 7 Equisetum fluviatile 2 2 Fontinalis antipyretica 4 -- Glyceria fluitans 1 1 Glyceria maxima 1 2 Hippuris vulgaris 2 -- Hydrocharis morsus-ranae -- -- Iris pseudacorus 3 3 Lemna gibba -- -- Lemna minor 7 8 Lemna trisulca 5 2 Mentha aquatica 5 3 Myriophyllum spicatum -- 2 Nuphar lutea 12 19 Phalaris arundinacea 14 9 Phragmites australis 5 8 Potamogeton alpinus 4 1 Potamogeton berchtoldii -- 1 Potamogeton crispus 1 -- Potamogeton gramineus -- -- Potamogeton lucens 2 3 Potamogeton natans 2 2 Potamogeton perfoliatus 1 2 Potamogeton praelongus 2 -- Potamogeton sp. 2 -- Rorippa amphibia 2 3 Sagittaria sagittifolia 5 6 Scirpus lacustris 1 2 Sium latifolium 6 5 Sparganium emersum 10 11 Sparganium erectum s.l. 13 13 Spirodela polyrhiza 2 7 Typha latifolia -- 3 Utricularia vulgaris -- -- Veronica anagallis-aquatica 6 1 Veronica beccabunga 6 4 * Excluding species found only in one site. -- Not found. Table 2. The most common species (% of all sites) in stream groups Taxon % Group 1 Fontinalis antipyretica 78 Nuphar lutea 70 Sparganium emersum 70 Alisma plantago-aquatica 65 Sparganium erectum 60 Group 2 Nuphar lutea 66 Sparganium emersum 55 Sparganium erectum 53 Lemna minor 50 Elodea canadensis 47 Group 3 Sparganium emersum 94 Alisma plantago-aquatica 41 Elodea canadensis 41 Phalaris arundinacea 33 Veronica beccabunga 33 Group 4 Phalaris arundinacea 78 Sparganium erectum 72 Nuphar lutea 67 Sparganium emersum 56 Alisma plantago-aquatica 50 Group 5 Nuphar lutea 86 Sparganium erectum 59 Sparganium emersum 50 Phalaris arundinacea 41 Lemna minor 36 Table 3. Pearson linear correlation coefficients among number of taxa, macrophyte cover, and environmental parameters Substrate Stream Stream Stream velocity depth width Substrate 1 Stream velocity 0.232 ** 1 Stream depth 0.475 ** n.s. 1 Stream width n.s. n.s. 0.297 ** 1 Shading n.s. n.s. n.s. n.s. Catchment area n.s. -0.260 ** n.s. 0.494 ** Altitude n.s. n.s. n.s. n.s. Macrophyte cover -0.312 ** n.s. n.s. n.s. Number of taxa -0.339 ** n.s. n.s. 0.251 ** Shading Catchment Altitude Macrophyte area cover Substrate Stream velocity Stream depth Stream width Shading 1 Catchment area n.s. 1 Altitude n.s. n.s. 1 Macrophyte cover - 0.446 ** n.s. -0.382 ** 1 Number of taxa - 0.294 ** 0.234 ** -0.281 ** 0.628 ** ** p < 0.01; n.s.--not significant.
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|Publication:||Estonian Journal of Ecology|
|Date:||Sep 1, 2011|
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