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Ecological status assessment of Lake Inari and River Pasvik and recommendations for biological monitoring using aquatic macrophytes EU ENPI –project Trilateral cooperation on Environmental Challenges in the Joint Border Area Juha Riihimäki Finnish Environment Institute SYKE Marit Mjelde Norsk Institut for Vannforskning NIVA Seppo Hellsten Finnish Environment Institute SYKE

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Page 1: Ecological status assessment of Lake Inari and River ... macrophyte report... · Sphagnum platyphyllum (Lindb. ex Braithw.) Sull. ex Warnst. x x Sphagnum riparium Ångstr. x Subuluria

Ecological status assessment of Lake Inariand River Pasvik and recommendations for

biological monitoring using aquaticmacrophytes

EU ENPI –project Trilateral cooperation on Environmental Challenges in theJoint Border Area

Juha RiihimäkiFinnish Environment Institute SYKE

Marit MjeldeNorsk Institut for Vannforskning NIVA

Seppo HellstenFinnish Environment Institute SYKE

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Contents1. Introduction .............................................................................................................................. 32. Material and methods .............................................................................................................. 33. Results................................................................................................................................... 10

3.1. Lake Inari, Lake Muddus and Lake Nitsi ......................................................................... 103.1.1. Macrophyte communities of the lakes ...................................................................... 103.1.2. Ecological status assessment of the lakes ............................................................... 11

3.2. River Pasvik .................................................................................................................... 123.2.1. Ecological status assessment of River Pasvik.......................................................... 143.2.2. Hydromorphological status assessment of river Pasvik ............................................ 153.2.3. River Pasvik status compared to other large rivers .................................................. 16

4. Discussion ............................................................................................................................. 17Acknowledgements ....................................................................................................................... 185. References ............................................................................................................................ 19

A017519
Konekirjoitusteksti
This publication has been produced with the assistance of the European Union, but the contents of this publication can in no way be taken to reflect the views of the European Union.
A017519
Konekirjoitusteksti
A017519
Konekirjoitusteksti
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1. Introduction

Pasvik river basin is shared by Finland, Norway and Russia and its total area is 17902 km2

of which 81% is in Finland, 13% in Russia and 6% in Norway (EEA 2008). Largest lake of

the Pasvik basin is the Lake Inari (1084 km2) situated 118,7 meters above sea level.

Pasvik river is 143 km long outlet from the Lake Inari to the Barents Sea and it is regulated

with seven hydropower plants (UNECE 2011).

Regulation of the water level of the Lake Inari and the discharge of the River Pasvik due to

hydropower production is probably the strongest human induced pressure on aquatic

ecosystem in the Pasvik River basin. The global climate change will also have several

effects on hydrological cycle changing the timing of high water levels and discharges and

thus affecting the habitat conditions of aquatic organisms (see other report).

Assessment of the ecological status of Lake Inari and River Pasvik is a part of Activity 4 in

EU ENPI project KO370 “Trilateral cooperation on Environmental Challenges in the Joint

Border Area (TEC)”. Assessment is done using aquatic macrophytes and benthic

macroinvertebrates as biological elements and this report describes the assessment using

aquatic macrophytes. Assessment of ecological status using benthic macroinvertebrates is

reported separately (see other report).

2. Material and methods

Macrophyte data was collected from Lake Inari, Lake Muddus, Lake Nitsi and River Pasvik

(Fig. 1). Lake Muddus and Lake Nitsi are unregulated lakes and are used as reference

lakes. All lakes are classified as “Large Oligohumic Lakes (North)” in Finnish lake typology

(Aroviita et al. 2012). The lakes in the River Pasvik are classified as low alkalinity, clear

lakes using Norwegian typology (Direktoratsgruppa 2013).

Field work on macrophyte sampling in the lakes Inari, Muddus and Nitsi was done 31.7. –

15.8. by field team consisting of Minna Kuoppala, Juha Riihimäki and Jukka Ylikörkkö .

Macrophyte data was collected using the standard Finnish method called “Main belt

transect method”. Observations of macrophyte species were made along a 5 m wide

transects perpendicular to shoreline. Starting point for the transects were at the upper

eulittoral and they extended to the outer depth limit of macrophyte vegetation. All

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macrophyte species including helophytes and bryophytes were recorded and frequency

and abundance for each species was estimated using a continuous percentage scale.

More comprehensive description of the method can be found on Kuoppala et al. (2008).

Number of the transects depends on the lake area maximum number being 25 transects.

All lakes studied (Lake Inari, Lake Muddus and Lake Nitsi) were planned to have 25

transects each. However one transect at Lake Inari was not surveyed as planned, resulting

24 surveyed transects, 3 and 4). Transects at Lake Inari were distributed to 5 monitoring

areas (Fig. 2). Lakes Muddus and Nitsi are smaller than Lake Inari so transects were

distributed more evenly (Figs. 3 and 4).

The macrophyte survey in River Pasvik took place 27-30. August 2013. Here the

macrophyte data was collected using both the Finnish and the Norwegian field methods.

Sampling at river Pasvik was done by Juha Riihimäki, Marit Mjelde and Hanne Edvardsen.

The Norwegian method (Mjelde 2013) includes only true aquatic macrophytes (i.e.

isoetids, elodeids, nymphaeids, lemnids and charophytes). Those species that can occur

in both helophyte and true aquatic forms are included in the analyses but helophytes,

bryophytes and filamentous algae are excluded. Different habitats, from shore to

maximum vegetation depth are surveyed and the species are recorded using an aqua

scope and collected by dredging from the boat. Species abundance is estimated using a

semi-quantitative scale (1=rare, 2=scattered, 3=common, 4=locally dominant and

5=dominant) and maximum depth distribution of vegetation is noted.

Norwegian field method was applied also in in previous macrophyte study in Pasvik

(Moiseenko et al 1993) and the same study sites on the Norwegian side of the river were

used in both surveys. A total of 15 sites using Norwegian method was visited. The Finnish

field method was applied for 14 of those sites, with one transect on each site. The Finnish

method was not applied on site 16 (Fig 5).

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Figure 1. River Pasvik catchment and areas of vegetation studies. A) Lake Inari, B) Lake Muddus,C) Lake Nitsi and D) River Pasvik.

Ecological status of the lakes and river Pasvik was assessed using macrophytes according

the European Union Water Framework Directive. For the lakes, assessment method for

Finnish lake macrophytes was used. For river Pasvik both Finnish and Norwegian

methods were used.

Finnish assessment method is a multimetric index combining results of three different

metrics (Vuori et al. 2009, Aroviita et al. 2012):

1. Proportion of type specific taxa (TT50), where those plant species, which are

common for at least 50 % of the reference lakes, are type specific species. TT50

metric value is proportion of those species of all species observed.

2. Percent Model Affinity (PMA), where the average relative abundance values of plant

species in reference lakes are used as expected values and observed values are

compared to expected values.

3. Trophic index (RI), where hydrophytes are classified according their occurrence

probabilities along the phosphorous gradient to tolerant, indifferent or sensitive

species. Number of species in each class is used to calculate reference index.

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Calculated reference index for the observed lake is compared to index value of the

reference lakes.

Observed metric values of studied lakes are divided by the average metric values of

reference lakes (expected values) to calculate Ecological Quality Ratio (EQR) for each

metric. EQRs are scaled to common thresholds so that scaled EQR value 0,8 is threshold

for high/good status, 0,6 for good/moderate, 0,4 for moderate/poor and 0,2 for poor/bad.

Ecological status of the lake using macrophytes as biological element is determined as

average of scaled EQRs of all three macrophyte metrics and using above mentioned

thresholds.

Norwegian assessment method (TIc index) is based on the relationship between the

number of sensitive and tolerant species in relation to eutrophication (Mjelde 2013). EQR

is calculated using observed TIc index and expected TIc index value obtained from the

reference lakes.

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Figure 2. Location of macrophyte transects at Lake Muddus, Lake Nitsi and Lake Inari with detailedmaps of 5 monitoring areas.

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Figure 3. Detailed location of macrophyte transects at Lake Muddus.

Figure 4. Detailed location of macrophyte transects at Lake Nitsi.

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Figure 5. Detailed location of macrophyte survey sites at River Pasvik. Site numbering same asMOISEENKO et al 1993.

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3. Results

3.1.Lake Inari, Lake Muddus and Lake Nitsi

3.1.1. Macrophyte communities of the lakes

Total area studied differs among the lakes since the length of transect is determined by the

outer limit of the vegetation on transect. Total length of transects and hence also the total

area was higher in Lake Nitsi than in Lake Inari and Lake Muddus (table 1).

Table 1. General information of lakes studied and surveyed transects.

The total number of observed macrophyte species in studied lakes was 45, of which only

18 species were common to all three lakes, 12 species were common for two lakes and 15

species were observed only in one lake (table 2). However, the total number of observed

species per lake was quite even.

Classification of true aquatic macrophytes (helophytes and bryophytes are omitted)

according to their indicator value related to sensitivity and tolerance against eutrophication

(Penning 2008 a, b) showed very similar composition among the lakes. Eutrophication

tolerant species were totally missing from all of the lakes and the species pool was

dominated by eutrophication sensitive species with only few indifferent species (Fig. 6)

Figure 6. Proportion and number of plant species in different eutrophication indicator classes.

Lake Inari Lake Muddus Lake NitsiNumber of transects 24 25 25Total area of transects (m2) 11885 12375 17180Total lenth of transects (m) 2377 2475 3436

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Table 2. Observed macrophyte species in studied lakes. Species common for all three lakes areindicated with yellow colour.

3.1.2. Ecological status assessment of the lakes

Ecological status of the Lake Inari was assessed using Finnish multimetric index for lake

macrophytes. Mscrophyte data from Lake Muddus, Lake Nitsi, Lake Kitka and Lake Yli-

Kitka were used as reference data. Average EQR of the three metrics was 0.81 so Lake

Inari was assessed to be slightly in high ecological status based on aquatic macrophytes

(boundary between high/good status is 0.80). For each separate metrics the EQR value

was also clearly above good/moderate boundary (Table 3)

Species Lake Inari Lake Muddus Lake NitsiBrachytecium rivulare Schimp. xCalliergon cordifolium (Hedw.) Kindb. x x xCalliergon megalophyllum Mikut. xCalliergon richardsonii (Mitt.) Kindb. xCallitriche hamulata Kütz. ex W.D.J. Koch xCaltha palustris L. x xCarex aquatilis Wahlenb. x xCarex lasiocarpa Ehrh. x x xCarex rostrata Stokes x x xCarex vesicaria L. xComarum palustre L., Potentilla palustris (L.) Scop. x x xDichelyma falcatum (Hedw.) Myrin x xDrepanocladus longifolius (Mitt.) Broth. ex Paris xEleocharis acicularis (L) Roem. et Schult. x x xEquisetum fluviatile L. x x xFontinalis antipyretica Hedw. xFontinalis hypnoides Hartm. xHippuris vulgaris L. x xIsoetes echinospora Durieu x x xIsoetes lacustris L. x x xJuncus filiformis L. x x xLeptodictym riparium (Hedw.) Warnst. x xLysimachia thyrsiflora L. xMenyanthes trifoliata L. x xMyriophyllum alterniflorum DC. x x xNitella flexilis (Linné) Agardh x xPhilonotis fontana (Hedw.) Brid. xPotamogeton berchtoldii Fieber x xPotamogeton gramineus L. x x xPotamogeton perfoliatus L. x x xRanunculus peltatus ssp. peltatus x x xRanunculus reptans L. x x xScorpidium scorpioides (Hedw.) Limpr. x x xSphagnum platyphyllum (Lindb. ex Braithw.) Sull. ex Warnst. x xSphagnum riparium Ångstr. xSubuluria aquatica L. x x xUtricularia intermedia Hayne x xUtricularia minor L. xUtricularia vulgaris L. x x xWarnstorfia exannulata (W. Gümbel) Loeske x xWarnstorfia fluitans (Hedw.) Loeske xWarnstorfia procera (Renauld & Arnell) Tuom. x x xWarnstorfia trichophylla (Warnst.) Tuom. & T. J. Kop. xNitella flexilis/opaca xSparganium sp. x xTotal number of species 33 31 29

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Table 3. Ecological status classification of the Lake Inari. Other lakes (Nitsi, Muddus, Yli-Kitka andKitka) were used as reference lakes in current analysis.

3.2.River Pasvik

Total number of the macrophyte species including true aquatic macrophytes, bryophytes

and helophytes observed in the River Pasvik sites was 47, of them 37 were observed

using the Finnish field method (Annex 1). Using the Norwegian field method, 34 species

(only true aquatic macrophytes) were observed (Annex 2). The number of species per

sites was higher using the Norwegian method in all but one site (Fig 7). Average number

of species per site using the Finnish method and the Norwegian method were 11 and 14

and range (min-max) number of species 5-17 and 4-22 species respectively.

There is a clear difference in the field methods that effects on the results. In the Finnish

method also helophytes and bryids are observed, which is not the case in the Norwegian

method. Also the number of visited sites at river Pasvik was different. When comparing

results using only common sites, and common observed growth forms, the total number of

observed plant species using Finnish and Norwegian field method were 27 and 33 species

respectively (table 4).

Figure 7. Number of species per site using the Finnish field method (FI) and the Norwegian fieldmethod (NO).

Data EQR Status EQR Status EQR Status EQR StatusLake Nitsi 2012 1.00 High 0.90 High 1.05 High 0.99 HighLake Muddus 2012 0.90 High 1.02 High 0.98 High 0.97 HighLake Yli-Kitka, Suonna 1978 1.00 High 0.99 High 0.67 Good 0.89 HighLake Kitka 1984 0.72 Good 0.61 Good 0.84 High 0.72 GoodLake Inari 2012 0.80 Good 0.71 Good 0.93 High 0.81 High

RI TT50SO PMA Total

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Table 4. Observed macrophyte species using the Finnish field method (FI) and the Norwegian fieldmethod (NO) with common growth forms and sites.(E = Elodeid, C = Charid, I = Isoetid, L =Lemnid, N = Nypheid). Species observed with both methods are indicated with yellow colour.

Number of species per site is clearly higher in all sites with the Norwegian method when

comparison was made using only common sites and growth forms (Fig. 8). In this

comparison the average number of species per site using the Finnish method and the

Norwegian method were 9 and 15 and range (min-max) number of species 3-14 and 4-22

species respectively.

Growth forms Species FI field method NO field methodE Callitriche hamulata xE Callitriche hermaphroditica x xE Callitriche palustris x xC Chara virgata xI Elatine hydropiper x xI Elatine orthosperma xI Eleocharis acicularis x xE Hippuris vulgaris x xI Isoetes echinospora x xI Isoetes lacustris x xL Lemna trisulca x xE Myriophyllum alterniflorum x xE Myriophyllum sibiricum x xC Nitella opaca x xN Nuphar lutea xN Nuphar pumila xN Persicaria amphibia x xE Potamogeton alpinus x xE Potamogeton berchtoldii x xE Potamogeton compressus xE Potamogeton gramineus x xE Potamogeton perfoliatus x xE Potamogeton praelongus x xE Ranunculus confervoides x xE Ranunculus peltatus x xI Ranunculus reptans x xN Sagittaria sagittifolia x natans x xN Sparganium angustifolium x xN Sparganium emersum x xI Subularia aquatica x xE Utricularia intermedia x xE Utricularia minor xE Utricularia ochroleuca xE Utricularia vulgaris x x

Total number of species = 34 27 33Common species 26

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Figure 8. Number of species per site using the Finnish field method (FI) and the Norwegian fieldmethod (NO) with common growth forms and sites.

3.2.1. Ecological status assessment of River Pasvik

Ecological status assessment gave quite similar results when Finnish and Norwegian

assessment methods were compared using RI index and TIc index, and all River Pasvik

lakes were classified to high or good status (fig. 9 and 10). Also when combined Finnish

multimetric index was used, most of the lakes were classified to high or good status except

Hestefoss and Fjørevatnet, where low number of sites made PMA index unstable and

lowered status (table 5). Results showed that relatively similar RI and Tix indices gave

exactly the same results showing relatively high status of River Pasvik lakes.

Table 5. Ecological status assessment of river Pasvik lakes using the Finnish and Norwegianstatus assessment methods. Numbers after lake names indicate the site codes. The Finnishmethod was not applied on site 16 (fig. 5).

RI TT50SO PMA Total (FI) Tic (NO)Data EQR Status EQR Status EQR Status EQR Status EQR StatusRiver pasvik (All sites) 0,72 Good 0,62 Good 0,66 Good 0,67 Good 0,90 GoodHestefoss (New) 0,60 Good 0,70 Good 0,12 Bad 0,47 Moderate 1,11 HighFjorvatnet (1) 0,65 Good 0,47 Moderate 0,06 Bad 0,39 Poor 0,88 GoodVaggatem (2, 3, 4, 5, 6) 1,13 High 0,87 High 0,55 Moderate 0,85 High 0,89 GoodLangvatn (7, 8) 1,00 High 0,70 Good 0,75 Good 0,82 High 0,98 HighFuglebukta (9) 1,13 High 1,03 High 0,63 Good 0,93 High 1,00 HighSvanvatn (14, 15, 16) 0,74 Good 0,70 Good 0,61 Good 0,68 Good 0,87 GoodBjörnvatn (18, 19) 1,13 High 0,70 Good 0,46 Moderate 0,76 Good 0,91 Good

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Figure 9. Ecological classification of river Pasvik lakes using the Finnish assessment method.Boundary between good moderate status is EQR value 0,6.

Figure 10. Ecological classification of river Pasvik lakes using the Norwegian assessment method.Boundary between good moderate status is marked with grey line.

3.2.2. Hydromorphological status assessment of river Pasvik

Macrophyte composition was also assessed by using water level regulation index

developed by Mjelde et al. (2012). The index showed that all lakes except Hestefoss and

Langvatn were in better than moderate status. However, this index is developed for Hep-

reguleted lakes with (more or less) considerable winter drawdown. The lakes in the River

Pasvik have different regulation regimes, with limited winter drawdown.

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Figure 11. The water level fluctuation (WIc) index values for River Pasvik lakes (Mjelde et al2012). Preliminary boundary between good moderate hydromorphological status is marked withgrey line.

3.2.3. River Pasvik status compared to other large rivers

Aquatic macrophyte diversity of River Pasvik have been compared in Fig 12. Diversity is

significantly higher compared to other large rivers in Norway (excluding River Glomma,

which is situated in southern Norway and represents naturally higher diversity gradients).

Figure 12. Number of macrophyte species in large rivers of Norway (Mjelde unpublished data).Previous Pasvik study is developed by similar methods than in 2013 (Moiseenko et al. 1993).

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4. Discussion

The ecological status of Lake Inari based on aquatic macrophytes was high. Water level

regulation for the hydropower production is considered to be the dominant human induced

pressure to Lake Inari, while nutrient loads due to human activity are estimated to be

relatively low. Estimated phosphorous load assortment for Finnish area of Pasvik basin

shows that less than 1 % of total phosphorous (totP) load originates from point source

loads, only 10 % of totP load is diffuse load from human activity and rest of the totP load

are from aerial deposition and natural leaching 17 % and 73% respectively (Lapin

ympäristökeskus 2010). Average water level fluctuation during the period 2000 – 2009 has

been about 1.40 meters, which is about 0.30 meters lager than the natural water level

fluctuation (Puro-Tahvanainen et. al. 2011). Water level regulation induced effects on

littoral areas at Lake Inari are limited and the macrophyte communities are well adapted to

the current conditions. However, it should be noted that vertical extension of sedges

(Carex sp.) is has decreased, so has areas of spring-flood depended vegetation.

The macrophyte survey in the River Pasvik lakes showed similar high - good status in all

lakes. Despite the fact that the whole river has changed significantly and consists of

cascades of hydropower reservoirs, plant species composition resembles natural one with

species such as Isoetes lacustris and Myriophyllum alterniflorum. It should be noted, that

water level of lakes is relatively stable and without significant drawdown of water level

during winter. Winter drawdown is one of the most significant factors negatively affecting

the status of lake macrophytes as shown in several studies (Mjelde et al. 2013, and

references herein). On the other hand, more or less stable water level (as in the River

Pasvik lakes) positively affects the abundance of several aquatic macrophyte species.

However, abundance of helophytes and especially sedges is much lower than in lakes with

normal spring flood reflecting decreased water level fluctuation.

River Pasvik water quality reflects largely the outflow of Lake Inari, which in general is in

good status. Therefore also species indicating eutrophication is low even in areas affected

by Nickel smelters.

Biological monitoring of Lake Inari and River Pasvik using macrophytes is well established

and usable in its current state. Both Finnish and Norwegian field methods and ecological

status assessment methods show similar results regardless of the obvious disparities in

the field methods. Aquatic macrophyte surveys are lacking from the Russian area of the

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Pasvik River basin, hence we recommend setting up comparable macrophyte monitoring

and status assessment system to be applied also on Russian area of the river basin.

Acknowledgements

We wish to thank Hanne Edvardsen (NIVA), Minna Kuoppala (SYKE) and Jukka Ylikörkkö

(ELY for Lapland) for the valuable participation to the macrophyte sampling on River

Pasvik, Lake Inari,Lake Muddus and Lake Nitsi. Also we want to thank Paul Eric Aspholm

(Bioforsk) and Martti Salminen (ELY for Lapland) for guidance and logistics on study

areas.

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5. References

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Pilke, A., Rask, M., Riihimäki, J., Ruuskanen, A., Siimes, K., Sutela, T., Vehanen, T. and

Vuori, K.-M. 2012. Ohje pintavesien ekologisen ja kemiallisen tilan luokitteluun vuosille

2012–2013 päivitetyt arviointiperusteet ja niiden soveltaminen. (Guidelines for the

ecological and chemical status classification of surface waters for 2012–2013 – updated

assessment criteria and their application). Ympäristöhallinnon ohjeita 7/2012, 144 pp.

Kuoppala M., Hellsten S. & Kanninen A. 2008. Sisävesien vesikasviseurantojen

laadunvarmennus (Development of quality control in aquatic macrophyte monitoring).

Suomen ympäristö 36: 1–93.

EEA 2008. European River Catchments. GIS database. http://www.eea.europa.eu/data-

and-maps/data/european-river-catchments-1

Hellsten, S., Willby, N., Ecke, F., Mjelde, M., Phillips, G., Tierney, D., Poikane S. (ed.).

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Publications Office of the European Union., ISBN: 978-92-79-35470-0

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vesienhoitosuunnitelma vuoteen 2015. (Teno – Näätämö – Paatsjoki River basin

management plan for 2015). 123 pp.

Mjelde, M. 2013. Vannplanter. I: Direktoratsgruppa 2013. Veileder 02:2013 Klassifisering

av miljøtilstand i vann (in Norwegian).

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macrophytes in Nordic lakes. Hydrobiologia 704:141–151

Moiseenko, T., Mjelde, M., Brandrud, T., Brettum, P., Dauvalter, V., Kagan, L., Kashulin,

N., Kudriavtseva, L., Lukin, A., Sandimirov, S., Traaen, T.S., Vandysh, O. & Yakovlev, V.

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Responses. Investigations in 1993. - Institute of North Industrial Ecology Problems

(Russia), Norwegian Institute for Water Research (Norway). NIVA-report OR-3118. 87 p.

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Berg, M., Maemets, H., Poikane, S., Phillips, G., Willby, N., & Ecke, F. 2008a. Using

aquatic macrophyte community indices to define the ecological status of European lakes.

Aquatic Ecology 42:253-264.

Penning, W. E., Mjelde, M., Dudley, B., Hellsten, S., Hanganu, J., Kolada, A., van den

Berg, M., Maemets, H., Poikane, S., Phillips, G., Willby, N., & Ecke, F. 2008b. Classifying

aquatic macrophytes as indicators of eutrophication in European lakes. Aquatic Ecology

42:237-251.

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Riihimäki, J.,Salonen, E. 2011. Inarijärven tilan kehittyminen vuosina 1960–2009,

(Development of the status of Lake Inari between 1960 and 2009). Suomen ympäristö

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UNECE 2011. Second Assessment of transboundary rivers, lakes and groundwaters.

EDE/MP.WAT/33, United Nations.

Vuori, K., Mitikka, S., Vuoristo, H. 2009. Pintavesien ekologisen tilan luokittelu (Guidance

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Page 21: Ecological status assessment of Lake Inari and River ... macrophyte report... · Sphagnum platyphyllum (Lindb. ex Braithw.) Sull. ex Warnst. x x Sphagnum riparium Ångstr. x Subuluria

21

Annex 1.Ab

unda

nce

ofRi

verP

asvi

km

acro

phyt

es20

13-F

inni

shfie

ldm

etho

d

Hes

tfoss

Fjør

evFu

gleb

ukta

Spec

ies

01

23

45

67

89

1415

1819

Cal

lierg

ongi

gant

eum

(Sch

imp.

)Kin

db.

00

060

00

00

00

00

00

Cal

lierg

onm

egal

ophy

llum

Mik

ut.

00

00

0,15

00

00

00

00

0C

allit

riche

herm

aphr

oditi

caL.

012

00

0,00

250

00

00

00,

750

0,2

Cal

litric

hepa

lust

risL.

00

00

00

00

00

00,

0025

00

Car

exac

uta

L.0

00

00

00

01,

50

02,

70

0C

arex

aqua

tilis

Wah

lenb

.0

00

00,

450

00

00

10

00

Car

exla

sioc

arpa

Ehr

h.0

00

00

20

00

00

00

0C

arex

rost

rata

Sto

kes

00

00

0,45

01,

51,

20

00

00

0C

omar

umpa

lust

reL.

,Pot

entil

lapa

lust

ris(L

.)S

cop.

00

00

0,03

00

0,09

00

00

00

Ela

tine

hydr

opip

erL.

00

00,

035

00

00

00

00,

030,

0025

0E

leoc

haris

acic

ular

is(L

)Roe

m.e

tSch

ult.

00

0,05

0,01

50,

031

00

03

0,6

0,25

01,

2E

leoc

haris

palu

stris

(L.)

Roe

m.e

tSch

ult.

00

00

00

00

00

04,

50

0E

quis

etum

fluvia

tile

L.0,

40

120

00

00,

015

00

120,

153,

50,

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ntin

alis

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yret

ica

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w.

00

00,

0025

00

00

00,

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005

00

0H

ippu

risvu

lgar

isL.

00

00

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00

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00

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sec

hino

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052,

10,

052

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00

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00

7216

6363

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0,00

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mna

trisu

lca

L.0

00

00

00

00

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015

120

0M

enya

nthe

stri

folia

taL.

0,3

00

00

00

00

00

00

0M

yrio

phyl

lum

alte

rnifl

orum

DC

.0

01,

83

9,9

0,7

0,6

120,

513

,50,

654

0,4

0,3

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ioph

yllu

msi

biric

umK

om.

090

00

00

00

00

00

00

Nite

llafle

xilis

(Lin

né)A

gard

h0

00

00

00

00,

0025

00

00,

0025

2P

ersi

caria

amph

ibia

(L.)

Del

arbr

e0,

010

00

00

00

00

1,05

20

0P

otam

oget

onal

pinu

sB

alb.

00,

70

00

00

30

00

00

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otam

oget

onbe

rcht

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iFie

ber

03

00

00

00

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2,4

0,00

250,

005

00

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amog

eton

gram

ineu

sL.

00

00

0,00

250

00

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00

00

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eton

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sL.

00

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61,

20,

150,

010

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10,

075,

60,

0025

0,1

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amog

eton

prae

long

usW

ulfe

n0

1,2

00

00

00

00

00

00

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uncu

lus

conf

ervo

ides

(Fr.)

Fr.

00,

010

00

00

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00

00

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anun

culu

spe

ltatu

sS

chra

nk0

00,

010,

82,

10,

70,

40,

42,

10,

30,

21

0,3

0,1

Ran

uncu

lus

rept

ans

L.0

00,

050,

10,

015

0,1

00

1,8

0,4

10

0,9

0S

agitt

aria

nata

nsx

sagi

ttifo

lia0

0,05

00

00

00

00

00

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Sco

rpid

ium

scor

pioi

des

(Hed

w.)

Lim

pr.

060

00

82

00

00

0,28

00

0S

parg

aniu

man

gust

ifoliu

mM

ichx

.1,

50

46

16

0,25

1,5

04,

50,

025

0,5

2,1

0S

parg

aniu

mem

ersu

mR

ehm

ann

00,

150

00

00

08

00

0,7

0,00

50

Sub

ulur

iaaq

uatic

aL.

00

0,1

0,2

0,15

0,01

50,

0025

0,00

250

0,02

53

00

5U

tricu

laria

inte

rmed

iaH

ayne

0,00

250,

070

00

00

00

00

00

0U

tricu

laria

min

orL.

00

00

00

00

00

00,

0025

00

Utri

cula

riavu

lgar

isL.

00,

010

00

00

00

00,

005

00

0To

taln

umbe

r5

1211

1318

128

1010

1318

1812

12

Abu

ndan

ceco

mbi

nes

estim

ated

cove

rand

frequ

ency

ofsp

esie

sin

each

trans

ecta

ndis

calc

ulat

ed:(

mea

nco

vero

fspe

cies

*fre

quen

cy)/

100

Vag

gate

mLa

ngva

tnS

vane

vatn

Bjø

rnev

atn

Page 22: Ecological status assessment of Lake Inari and River ... macrophyte report... · Sphagnum platyphyllum (Lindb. ex Braithw.) Sull. ex Warnst. x x Sphagnum riparium Ångstr. x Subuluria

22

Annex 2.Ab

unda

nce

ofRi

verP

asvi

km

acro

phyt

es20

13-N

orw

egia

nfie

ldm

etho

d

lifef

orm

Hest

foss

Fjør

evVa

ggat

emLa

ngva

tnFu

gleb

ukta

Svan

evat

nBj

ørne

vatn

dow

nstre

amgr

oups

Spec

ies

01

23

45

67

89

1415

1618

19lo

c9

EC

allit

riche

ham

ulat

a1

1E

Cal

litric

hehe

rmap

hrod

itica

42

1,5

1,5

2,5

22

22

22

EC

allit

riche

palu

stris

11

1,5

1,5

2C

Cha

ravir

gata

4I

Ela

tine

hydr

opip

er3

22

IE

latin

eor

thos

perm

a1

IE

leoc

haris

acic

ular

is4

33

34

32

42

33

3,5

3,5

EH

ippu

risvu

lgar

is2

52

32

12,

5I

Isoe

tes

echi

nosp

ora

22

33

42

2,5

23

23

IIs

oete

sla

cust

ris5

4,5

4,5

55

12

4,5

4,5

4,5

42

LLe

mna

trisu

lca

4,5

31

1E

Myr

ioph

yllu

mal

tern

iflor

um2

34

33

43,

53

42,

54,

53

2,5

3E

Myr

ioph

yllu

msi

biric

um5

2,5

CN

itella

opac

a1

1,5

21

2,5

23

2N

Nup

harl

utea

4N

Nup

harp

umila

2N

Per

sica

riaam

phib

ia4

34

-14

4E

Pot

amog

eton

alpi

nus

23

43

12

2E

Pot

amog

eton

berc

htol

dii

21,

53

31

2,5

22

EP

otam

oget

onco

mpr

essu

s2

EP

otam

oget

ongr

amin

eus

21

3,5

4,5

23

2,5

2-1

4E

Pot

amog

eton

perfo

liatu

s3

33

33

24

3,5

43

33

4E

Pot

amog

eton

prae

long

us3

2,5

1E

Pot

amog

eton

xspa

rgan

ifoliu

s5

ER

anun

culu

sco

nfer

void

es2,

51

22

21,

51

1,5

ER

anun

culu

spe

ltatu

s2

24

44

3,5

33

43

44

33

IR

anun

culu

sre

ptan

s3

33

33

43

32,

53

3N

Sag

ittar

iasa

gitti

folia

xna

tans

22,

5N

Spa

rgan

ium

angu

stifo

lium

34

44

34

43,

55

33

3,5

34

4N

Spa

rgan

ium

emer

sum

22

3,5

22

IS

ubul

aria

aqua

tica

23

3,5

2,5

33

1,5

1,5

32

2,5

23

3E

Utri

cula

riain

term

edia

13

2E

Utri

cula

riaoc

hrol

euca

12

1E

Utri

cula

riavu

lgar

is2

21

31,

52

1to

taln

umbe

r4

2114

2115

1313

1211

1422

1911

1518

4