Applied Vegetation Science 10: 25-33, 2007 © IAVS; Opulus Press Uppsala. - MANAGEMENT OF THREE ENDANGERED PLANT SPECIES IN DYNAMIC BALTIC SEASHORE MEADOWS - 25 Management of three endangered plant species in dynamic Baltic seashore meadows Rautiainen, P.*; Björnström, T.; Niemelä, M.; Arvola, P.; Degerman, A.; Erävuori, L.; Siikamäki, P.; Markkola, A.; Tuomi, J. & Hyvärinen, M. Department of Biology, University of Oulu, P.O. Box 3000, FI-90014 Oulu, Finland; E-mails taina.bjornstrom@oulu.fi; marika.niemela@mtt.fi; pia.arvola@metsa.fi; [email protected].fi; lauri.eravuori@poyry.fi; pirkko.siikamaki@oulu.fi; annamari.markkola@oulu.fi; juha.tuomi@oulu.fi; marko.hyvarinen@oulu.fi; *Corresponding author; Fax +358 85531061; E-mail: pirjo.rautiainen@oulu.fi Abstract Question: Arctophila fulva var. pendulina, Primula nutans var. jokelae and Puccinellia phryganodes are threatened early successional species growing in the seashore meadows of the northern Baltic Sea. Patches formed by these species are destined to be replaced by other species during primary succession and in order to persist in the area they have to continuously colonize new areas. We studied whether the displacement of the species could be slowed down and their sexual and/or vegetative reproduction enhanced by management targeted to surrounding vegetation. Location: Bothnian Bay, Baltic Sea, W Finland. Methods: Vegetation surrounding patches of all study species was mown in four successional growing seasons. Moreover, the impact of additional soil turning on creating new favourable growing sites was tested for A. fulva. Results: Deterioration of suitable habitats of A. fulva and P. nutans was markedly slowed down by management and the vegetative and/or sexual reproduction of these species was enhanced. In the case of P. phryganodes, however, no positive response to management was obtained. Conclusions: In order to improve the long-term persistence of these three species successional vegetation changes should be slowed down and their dispersal and colonization success improved by continuous management of the populations. We further suggest that the colonization of new areas should be aided by transplantations to the non-vegetated islets, which have recently risen from the sea and cannot be reached by means of dispersal. Keywords: Arctophila fulva var. pendulina; Landscape dynamics; Management; Primary succession; Primula nutans var. jokelae; Puccinellia phryganodes. Nomenclature: Hämet-Ahti et al. (1998). Introduction The rate of habitat change in relation to the rate of species dynamics can be especially important for plants that are dependent on a given type of habitat. If extinctions primarily occur as a consequence of habitat change, for example, during primary succession, the species have to disperse and successfully colonize new favourable growing sites (Snäll et al. 2003; Jäkäläniemi et al. 2006). To enhance the long-term persistence of early successional species one can (1) first of all apply management practices which slow down the succession process in locations where the species have viable populations; (2) preserve the regime of natural disturbances creating new colonization sites; (3) improve dispersal to the new growing sites and improve colonization success. These approaches may be especially useful in conservation of the seashore plant communities. Seashores are usually characterized by distinct vegetation zones (Tyler 1969; Vartiainen 1980; Bertness 1991). Early successional species tolerate waterlogged soil and disturbance in lower parts of the shore, whereas in the upper shores zones are increasingly shaped by interspecific competition (Bertness 1991; Amsberry et al. 2000). Hence, plants on the upper shore are considered to be better competitors (sensu Grime 1979) than species on the lower shore and where their niches overlap the higher shore species eventually displace lower shore ones (Bertness 1991; but see Bockelmann & Neuhaus 1999). In the Bothnian Bay (northernmost Baltic Sea) relatively rapid isostatic land uplift (6.9 mm.a–1, Johansson et al. 2001) together with flat topography continuously creates virgin land to be colonized, but still, populations of some early successional species have become threatened in recent decades (Ryttäri & Kettunen 1997). The population decline of the early colonizers may partially be a consequence of abandonment of traditional agricultural practises such as cattle grazing and hay making that used to enlarge the area of low-growth meadows, 26 RAUTIAINEN, P. slowed down succession and maintained higher species richness (Ryttäri & Kettunen 1997; Pykälä 2000; Jutila 2001). In addition, eutrophication of the shores by scattered loading from arable fields may have contributed to this development (Ryttäri & Kettunen 1997; Hänninen & Leppäkoski 2004; Laamanen et al. 2005). Consequently, seashore meadows of the Baltic Sea are nowadays classified as endangered habitats (EU Habitat Directive 92/43/EEC). The management of seashore meadows should result in the reduction of the space occupied by dominant species. Enhancing sexual reproduction or vegetative spread of the early successional species would secure the potential to colonize new suitable areas when such opportunities arise. In the present study, we tested for the impact of selected management methods on the local populations of three threatened early successional seashore plants: Arctophila fulva var. pendulina, Primula nutans var. jokelae and Puccinellia phryganodes. Populations of the three species are naturally rare climatic relicts, for which the early successional environment of the Bothnian Bay has offered a suitable refugium (Eurola 1999). The number and extensions of populations has declined during the last decades (Ryttäri & Kettunen 1997; Siira & Merilä 1985; Siira 1994). The species have different growth forms and predominant modes of reproduction and they inhabit different zones of the seashore (Table 1). We hypothesized that the removal of surrounding taller vegetation would slow down succession, and hence prevent or alleviate the habitat deterioration. It would also reduce interspecific competition for light and thus enhance vegetative and sexual reproduction and create safe sites for the establishment of new individuals. To find out the rate of response we monitored the changes in populations for four years. Moreover, we tested the impact of additional soil turning on creating new favourable growing sites for A. fulva. Material and Methods Study species Arctophila fulva var. pendulina and Puccinellia phryganodes are perennial, clonal grasses. Shoots of A. fulva are tall and they grow as scattered dense, monospecific patches ET AL. along rivers and seashores influenced by freshwater. A. fulva flowers regularly in June-July, but no seedlings have been recorded in the study area (Rautiainen et al. 2004); hence, dispersal seems to be based on rhizomatous growth and fragmentation of clones. However, it was recently shown that there is a considerably high genotypic diversity within the study population suggesting that sexual reproduction has taken place in the past (Kreivi et al. 2005). Most of the A. fulva patches in the study area are located in the open area in shallow water where disturbance caused by ice scouring creates additional open space for colonization. P. phryganodes is a small stoloniferous, prostrate grass, which propagates by producing easily detaching axillary shoots dispersed by water. Flowers are formed, but as a rule viable seeds are absent (Sørensen 1953; Bowden 1961). The species grows on an open, often saline zone from the shoreline to the low salt marsh meadow where other vegetation is sparse or absent. The species may even dominate salt marsh vegetation, especially if the meadow is grazed by waterfowl (Siira & Haapala 1969). Primula nutans var. jokelae is a perennial rosette-forming hemicryptophyte that reproduces by seed and also forms runners originating from the axils of the lower leaves (Mäkinen & Mäkinen 1964). Its flowers are insect-pollinated and seeds dispersed by water currents (Ulvinen 1997). The species grows typically on sandy and clay-rich low-growth seashore meadows, but not in the very waterfront. The meadows are often inundated for short periods in spring due to the flooding of rivers and irregular wind-driven elevations of the sea water level (Mäkinen & Mäkinen 1964). Study sites and the design of experiments The experiment with A. fulva was carried out in the estuary of Temmesjoki River at the Liminka Bay (Fig. 1) in 2000-2003. The main components of vegetation in the area in sequence from the sea towards the land are Schoenoplectus lacustris and S. tabernaemontanii, Eleocharis palustris and A. fulva. The shoreline is dominated by Carex species and further inland dense stands of Phalaris arundinacea and Phragmites australis prevail. The soil in the area is constituted by mud and clay. A. fulva patches (10 to 435 m2 in area; n = 14) growing in closed vegetation were randomly selected for the Table 1. Characteristics and the conservation status of the studied species. Reproduction Growth form Habitat Occurrence in relation to the succession stage Conservation status in Finland Study years A. fulva var. pendulina P. phryganodes P. nutans var. jokelae Vegetative (and sexual?) Tall, rhizomatous Hydrolitoral Early Critically endangered 2000-2003 Vegetative Small, stoloniferous Geolitoral Early Endangered 2000-2003 Sexual and vegetative Small, rosette-forming Upper geolitoral Early-intermediate Endangered 1999-2002, 2001-2004 - MANAGEMENT OF THREE ENDANGERED PLANT SPECIES IN DYNAMIC BALTIC SEASHORE MEADOWS experiment. Two patches were rejected from the analysis as they were buried by a thick mat of plant debris in 2001. Three permanent 1.5 m × 1.5 m experimental quadrats were established beside every patch and randomly allocated to one of the three treatments: (1) control, (2) mowing and (3) mowing and additional turning of the soil with a shovel at a depth of 10-20 cm. The turning was done in the first two years to imitate the impact of ice scouring. The mowing (down to the height of ca. 10 cm) of the treatment quadrats together with a 20-cm wide marginal zone around them was repeated annually in the mid/late July. Most of the A. fulva shoots were also cut along with the other vegetation, but occasionally some of them were left intact if noticed. Cut vegetation was removed from the quadrats. Every year, prior to the treatments, the number of A. fulva shoots was counted and cover (%-scale) of all species was estimated visually. The mowing experiment with P. phryganodes was carried out in the cape of Tauvo (Fig. 1) in 2000-2003. The sparse and low vegetation of the study area is mainly dominated by Agrostis stolonifera and Juncus gerardii. P. phryganodes grows as small patches ca. 100-450 m inland from the mean water line. The nutrient-poor soil consists mainly of sand (Siira 1984). Randomly chosen patches (mean area 1.1 dm2, n = 12) were subjected to mowing treatment and another twelve served as controls. A quadrat of 1 m × 1 m was established around each patch. The cover of P. phryganodes and other species was estimated visually every year before mowing. In the first year mowing was done in late September and in the following years at the end of July. Vegetation was cut down to the height of 5-10 cm from the quadrats and a half meter wide marginal around 27 them and subsequently removed. As a low-stature species P. phryganodes was mainly left intact. Two separate management experiments were carried out with P. nutans. First, a mowing experiment was conducted in 1999-2002 in five sites (Fig. 1), where vegetation consists mainly of Phragmites australis, Carex nigra, Juncus gerardii and Calamagrostis stricta. Ten 40 cm × 40 cm quadrats were established in each population and a half of them were randomly allocated as controls and other half to the mowing treatment. Vegetation was annually mown down to the height of ca. 10 cm from the area within a 2-m radius around the centre of the quadrat at the end of July – in the beginning of August. Rosettes of P. nutans were left intact because they are so low-growth but flower stalks were usually cut. However, the seeds were already ripe during the mowing. Mowed plant material was removed from the area. Number of sterile P. nutans rosettes and flowering individuals were censused each year. The rosettes included also seedlings in the first three years, but in the last year the seedlings were counted separately. The cover of vegetation was estimated at the %-scale in 2000 and 2002. Second, a shrub removal experiment was carried out in one site in 2001-2004 (Fig. 1). The study area is located in the upper part of the seashore meadow where Salix phylicifolia and Alnus incana overshadow lower vegetation. The experimental design was similar to the one in the mowing experiment. Ten control and ten treatment quadrats were established. Shrubs were cut in August every year. Data were collected in a similar manner as in mowing experiment with the exception that seedlings and rosettes were counted separately every year and the cover of vegetation was estimated every year. Statistical analyses Fig. 1. Study areas of Arctophila fulva (cross), Primula nutans ¢ = mowing experiment and ® = shrub removal) and Pucinnellia phryganodes (p). Influence of the management on all three species was analysed using R statistical software (Ihaka & Gentleman 1996). In the analysis, the number of A. fulva and P. phryganodes shoots and P. nutans rosettes, seedlings and flowering individuals were used as response variables as was also the cover of P. phryganodes. When the number of individuals in a year concerned (shoots, rosettes, flowering shoots or seedlings) was used as a response variable, a generalized linear model with a log-link was built for the data analysis as customary with variables following a negative binomial distribution (Crawley 2004). The impact of treatment was evaluated by the change in the model deviance (subsequently referred to as ΔDev) that follows a χ2 distribution (see e.g. McCullagh & Nelder 1989). Orthogonal contrasts with the z-statistic were applied in the analysis of the general effect of the treatment on number of A. fulva shoots (2,–1,–1; control vs. mean impact of treatments) and the potential difference between the two different management treatments (0, –1, 1; mowing vs. mowing and soil turning). 28 RAUTIAINEN, P. In the experiment with A. fulva the number of shoots was explained by a model fitted sequentially starting from the intercept and adding the main effects of the PATCH (as a block factor) and the TREATMENT. A similar modelling approach was carried out in the experiments with P. nutans where the number of sterile rosettes, flowering shoots and seedlings (in the mowing experiment only in the last year) were used as response variables. In the mowing experiment with P. nutans, POPULATION (as a block factor) and TREATMENT were added sequentially and their significance was evaluated as above. The shrub removal experiment was carried out in one population as paired quadrats, and hence, the variable QUADRAT was added into model prior to the TREATMENT. The impact of the treatment on the number of P. phryganodes shoots was analysed in a similar manner with the exception that the design did not involve a blocking factor. The change in the cover of P. phryganodes following treatment was analysed by one-way ANOVA following an arcsine-root transformation of the cover estimates. Results The number of A. fulva shoots declined in the control quadrats from the median (Md) of 4 to 0 in the last two years, whereas in both treatments the number of shoots increased (Fig. 2). Management affected the number of shoots positively already in the first year after the start of the experimenter the start of the experiment (ΔDev = 6.04, df = 2, p = 0.049) and this trend was further enhanced during the subsequent years (e.g. in 2002-0003 ΔDev = 25.97, df = 2, p < 0.001). The contrast analysis revealed that the control quadrats and the treated ones differed during all study years (years 2001-2003, z-range: 2.90-4.90, p-range: 9.73*10–7 – 0.0038). More A. fulva shoots were constantly found in the treated quadrats than in the controls, and, moreover, from the two different treatments the combined cutting and soil turning scored higher median number of shoots in all years than mere cutting (range of Md: 4-8 vs. 0-3.5, respectively). This difference was confirmed to be statistically significant in the last study year (z = 2.29, p < 0.05) by analysis of the contrast within the TREATMENT factor. One should keep in mind that the distributions in shoot numbers were extremely skewed and there were, for example, some treated plots in which the shoot number exceeded 100. The impact of the PATCH variable was statistically significant in all years (data not shown) and, hence, the use of patches as a block factor was well grounded in the modelling. In the beginning of the experiment with A. fulva, sedges (mainly Carex aquatilis) were dominant species in all quadrats with an estimated average cover of 75 % in control, 57 % in mowed and 82 % in mowed and turned ones. The overall cover of sedges increased slightly during the experi- ET AL. ment in the control treatment, whereas soil turning reduced markedly the cover of sedges (down to 14%) in the next year but it soon recovered reaching almost 50 % in the last year. Mowing treatment had only a minor impact on the cover of sedges. There was no significant difference in the cover of Poaceae species between the two manipulation treatments. Other species competing with A. fulva covered usually only negligible areas in quadrats and, hence, they were pooled into one group. Their cover decreased in both the control and the mowing treatment but increased when mowing was combined with the soil turning. The response of P. phryganodes to mowing was in stark contrast to that of A. fulva. The cover and the number of shoots of P. phryganodes declined in both the mowed and the control quadrats during the experiment and there was no statistically significant difference between the control and the mowing treatments. The total cover of vascular plants was relatively low in the beginning of the experiment: ca. 24 % in both control and mowing quadrats. In the control quadrats it remained approximately the same during the first three years but increased about 10% in the last year. In the mowed quadrats the total cover decreased one year after mowing but started to increase in the second year, reaching almost the same level as in the control ones (ca. 30 %) in the last year. In both the control and the mowed quadrats the increase of total plant cover was mainly due to the expansion of Juncus gerardii. In general, mowing increased markedly the number of P. nutans individuals in all demographic stages. In the first year after the start of the experiment the control and the mowed quadrats did not differ from each others, but in two years the number sterile rosettes (Md: 27 vs. 22) and flowering individuals (Md: 3 vs. 1) in the mowed quadrats exceeded those in the control ones. This trend was statistically significant already in 2001 as indicated by the changes in model deviance when the TREATMENT factor was fitted (ΔDev = 7.06, df = 1, p = 0.008 and ΔDev = 27.09, df = 1, p < 0.001, respectively) and continued as such in 2002 (ΔDev= 14.61, df = 1, p < 0.001 and ΔDev = 11.20, df = 1, Fig. 2. Number of A. fulva shoots in the experimental quadrats in the last study year (2003). The lower boundary of the box indicates the 25th percentile, a line within the box the median, and the upper boundary the 75th percentile. Error bars above and below the box indicate the 90th and 10th percentiles and the dots outliers. - MANAGEMENT OF THREE ENDANGERED PLANT SPECIES IN DYNAMIC BALTIC SEASHORE MEADOWS p = 0.001, respectively, Fig. 3). Seedlings were separated from the sterile rosettes only in the last study year and then the number of seedlings was significantly higher in the mowed quadrats than in the control ones (TREATMENT, ΔDev = 11.32, df = 1, p = 0.001) even though in terms of Md the difference was a minor one (1 vs. 0, Fig. 3). The number of rosettes was dependent on the study location in all study years as indicated by the statistically significant changes in the model deviance when the LOCATION was fitted (data not shown), whereas the locationdependency of the number of flowers in quadrats varied between years. Moreover, the location had a significant main effect on the number of seedlings in year 2002 (data not shown). The cover of vegetation in the mowing experiment was assessed in 2000 and 2002. The total cover of vegetation increased considerably in both the treated and the control quadrats, but the species proportions were different. In both treatments sedges increased in cover, but the increase was higher in the control quadrats (from 2% to 25% and in mowing from 2% to 18%). Also the cover of P. nutans increased in both the treated and the control quadrats: the increase in absolute terms was considerably higher in the mowed quadrats (from 8% to 38% and in control from 2% to 21%) but in relative terms in the control quadrats (tenfold vs. fivefold). The amount of litter was much higher in the control quadrats than in the mowed ones at the end of the experiment (60% and 27%, respectively). In the shrub removal experiment the total number of P. nutans individuals was higher in the treatment quadrats compared to the control ones already in a year after the start of the experiment. This was mostly due to the increased number of sterile rosettes in the mowed quadrats when compared to the control ones in year 2002 (Md: 45 vs. 33, TREATMENT, ΔDev = 5.48, df = 1, p = 0.02) and following study years (ΔDev = 9.88, df = 1, ΔDev = 6.69, df = 1, p = 0.01; 2003 and 2004, respectively, Fig. 4). Also the number of seedlings was higher in the treatment quadrats every year after the shrub removal, but the difference could not be tested due to too many zero-values. In fact, there was no need for testing as in the last year of the experiment there were no seedlings in any of the control quadrats, whereas the Md for treated quadrats was 5.5 (Fig. 4). Removing shrubs also increased the flowering of P. nutans in the last two years (Md: treatment vs. control, 2.5 vs. 0 and 6 vs. 0, respectively Fig. 4) and these differences were statistically significant (ΔDev = 44.73, df = 1, p < 0.001 and ΔDev = 106.26, df = 1, p < 0.001, respectively). In the beginning of the shrub removal experiment the cover of shrub layer was approximately 60 % in both the control and the treatment quadrats. The field layer consisted mainly of Lathyrus palustris, Carex nigra and Vicia cracca and its cover remained approximately the same in treatment quadrats but increased in the control ones (from 19 % to 58 %). 29 Fig. 3. Number of flowering individuals, sterile rosettes and seedlings of P. nutans in (a) the last study year (2002) of the mowing experiment. Fig. 4. Number of flowering individuals, sterile rosettes and seedlings of P. nutans in the last study year (2004) of the shrub removal experiment. 30 RAUTIAINEN, P. Discussion Impact of treatments on the target species A. fulva benefited from both cutting the surrounding vegetation and turning the soil. The number of shoots increased in both treatments, while it decreased almost to zero in the untreated quadrats during the experiment. Turning the soil together with mowing was more effective than mere mowing. The management was effective especially against tall, tussock forming sedges (e.g. Carex aquatilis), which form dense stands impenetrable by the other species. Mowing restrained their growth only slightly, because the sedges regenerated rapidly from the basal meristems left intact by mowing: a common phenomenon for tiller-forming species (e.g. Stammel et al. 2003). Soil turning, however, reduced the cover of sedges effectively. It imitated the effect of ice scouring by breaking the tussocks and the roots of sedges. It also cut the roots and the rhizomes of A. fulva, but the species was able to grow rapidly new shoots from the small rhizome fragments. This is probably an adaptation to its unpredictable environment, where ice scouring both destroys vegetation and creates open areas and floating plant debris may bury vegetation. The advantage of such adaptation was clearly seen in the 1960s, when the mouth of Temmesjoki river was dredged (Siira 1994): A. fulva rapidly spread to areas where soil was disturbed. However, despite the increase in the number of shoots in both the mowing and the turning treatments, A. fulva was not able to form as dense stands as it usually does in open space. In contrast to A. fulva, P. phryganodes showed no positive response to the mowing. Despite the fact that the mowing reduced the cover of competing vegetation at the start of the experiment while most of the creeping shoots of P. phryganodes were left intact, the cover and the number of shoots of P. phryganodes decreased during the experiment. Interspecific competition for light and space may not be the main reason for the decline of P. phryganodes along succession in Tauvo, as the total cover of vegetation was fairly low in the study area already in the beginning of the experiment. Relatively dry summers during the study years may have enhanced the replacement of P. phryganodes by later successional species. Nutrient poor, dry and rather coarsely textured sandy soil of the area may not provide optimal conditions for the shallow rooted species. Srivastava & Jefferies (1996) studied the habitat requirements of P. phryganodes by transplant experiments and concluded that high salinity, low soil moisture and low nitrogen content were associated with the decreased growth and survival of transplanted tillers of P. phryganodes (see also McLaren & Jefferies 2004). The largest and densest P. phryganodes population in the Bothnian Bay area is found on the Isomatala islet characterized by fine textured and nutrient-rich soil (Siira & Merilä 1985). At this site the species dominates ET AL. the lowest salt marsh vegetation at least partly owing to the intensive grazing by Anser anser (greylag goose) (Niemelä et al. unpubl., see also Hik et al. 1992). Management resulted in an increase of both vegetative and sexual reproduction of P. nutans. Its response to the mowing and the shrub removal was parallel: the number of sterile rosettes, seedlings and flowering individuals increased. The effect of shrub removal was first noticed as an enhancement of vegetative reproduction and later as an increase of sexual reproduction. As a low-stature species P. nutans is a poor competitor for light. In the improved light conditions P. nutans was able to increase the number of flowering individuals. Results are similar to those from the management experiment by Brys et al. (2004) with Primula veris: only a limited number of P. veris individuals were able to flower and shed seeds without management. According to Valverde & Silvertown (1995) the number of seeds per plant and the percentage of seedling establishment were positively correlated with the light conditions in the woodland herb, Primula vulgaris. Up to 550 seeds can be found in one inflorescence of P. nutans (Degerman pers. obs.) and, hence, it is not surprising that the number of seedlings increased markedly after the increase in the number of flowering plants. The increase of seedlings may also be due to the enhanced germination of seeds in better light conditions. Also the seedling stage is susceptible for the light. The poor survival of seedlings in tall and dense swards may be a consequence of the low light level (Bullock 2000). In addition, the amount of litter was clearly higher in the control quadrats at the end of the experiment. Litter may affect seed germination and seedling establishment by shading, changing the surface temperature and the humidity of soil or by allelopathy (Crawley 1997; Baskin & Baskin 1998; Jutila 2003; Becerra et al. 2004). Moreover, the removal of vegetation and litter may create proper microsites for the seed germination and the seedling establishment (Brys et al. 2004; Ehrlén et al. 2004; Hoffmann & Isselstein 2004). Conclusions and implications for management Our results indicated that management as used in the present study was able to slow down the deterioration of suitable habitats for two of the studied species, A. fulva and P. nutans, and enhance their vegetative and/or sexual reproduction. P. phryganodes may be more dependent on the narrow competition-free habitat newly emerging from the sea. Thus, the removal of taller plant species is not effective enough to enable its persistence above the lowest shore. The potential to colonize new habitats was improved especially in P. nutans, which is capable of long-distance dispersal by seeds. Dispersal abilities were not investigated in the present study, but one can assume that the two veg- - MANAGEMENT OF THREE ENDANGERED PLANT SPECIES IN DYNAMIC BALTIC SEASHORE MEADOWS etatively reproducing graminoids are relatively ineffective in their long-distance dispersal. Any of the population management methods used is hardly able to completely alleviate the impact of seashore meadow succession on populations of the focal species but rather delay the replacement of the populations by later successional species. The land uplift in the Bothnian Bay has been continuously creating new land for early successional species to colonize (Cramer & Hytteborn 1987). However, during the previous two decades the long-term mean of the sea level has been ca. 5 cm higher than predicted on the basis of the historical linear trend (Johansson et al. 2004), potentially indicating a long-term trend of rising sea level that is counteracting the land uplift. If this is the case one can speculate that the reduction in competition-free space available for early colonists can make these populations more susceptible for local the extinction. Moreover, eutrophication of the Baltic Sea (Laamanen et al. 2005) may improve conditions for some invasive species, such as Phragmites australis, thus further decreasing the area suitable for early successional species. In addition to the methods used in our experiment other means of management could be employed. Large-scale mowing in the seashore meadows and subsequent litter removal would enhance the conditions for early successional species but especially A. fulva and P. phryganodes may also need soil turning to aid the establishment of vegetative propagules. However, soil turning is very laborious, as no heavy machinery can be used due to the soft soil, and therefore, the targeted soil turning could be feasible only when small populations are in the immediate risk of extinction. Mowing should be carefully planned in order to avoid accumulation of plant debris on A. fulva stands. Debris floats and rafts more easily in areas where there is no tall vegetation to block it. Even though the species is well adapted to the disturbances of the waterfront, the recovery of patches from the suffocation by debris is often protracted. Moreover, grazing and concomitant trampling by cattle could provide an effective management tool for preserving and creating suitable habitats (Pykälä 2000; Jutila 2001). Transplantations of the species to non-vegetated habitats, which have recently risen from the sea and are beyond the reach of extant individuals, might help to lower the risk of regional extinction (see e.g. Oostermeijer 2003). Some recent studies have considered the rate of landscape change together with the amount of habitat as a critical factor for the population persistence (Keymer et al. 2000; Matlack 2005). This kind of shift in paradigm may in fact be very important in understanding why often, in spite of rigorous management efforts, many threatened plant populations disappear. If landscape changes too fast in relation to the scale of colonization-extinction process the population may be lost even though there seems to be 31 enough habitat available for its persistence. Keymer et al. (2000) point out that management methods that simultaneously destroy and restore habitat can have a dramatic negative effect on populations. Hence, management that is targeted to increase the habitat persistence and slow down the landscape change, such as used with A. fulva, may turn out to be more successful in preservation of threatened populations than management of a plant community as a whole. Acknowledgements. The study was financially supported by the Academy of Finland (project #47973), Maj and Tor Nessling Foundation, Wihuri Foundation, University of Oulu, Societas pro Fauna et Flora Fennica, Finnish Foundation for Nature Conservation and Kone Foundation. We are grateful to two anonymous referees for their constructive comments on the manuscript. We also thank all our field assistants and Eero Vierikko who cut the shrubs in the P. nutans experiment. References Amsberry, L., Baker, M.A., Ewanchuk, P.J. & Bertness, M.D. 2000. Clonal integration and the expansion of Phragmites australis. Ecol. Appl. 10: 1110-1118. Baskin, C.C. & Baskin, J.M. 1998. Seeds: Ecology, Biogeography, and Evolution of Dormancy and Germination. Academic Press, London, UK. Becerra, P.I., Celis-Diez, J.L. & Bustamante, R. 2004. Effects of leaf litter and precipitation on germination and seedling survival of the endangered tree Beilschmiedia miersii. Appl. Veg. Sci. 7: 253-257. Bertness, M.D. 1991. Zonation of Spartina patens and Spartina alterniflora in a New England salt marsh. Ecology 72: 138-148. Bockelmann, A.-C. & Neuhaus, R. 1999. Competitive exclusion of Elymus athericus from a high-stress habitat in a European salt marsh. J. Ecol. 87: 503-513. Bowden, K.M. 1961. Chromosome numbers and taxonomic notes on northern grasses IV. Tribe Festuceae: Poa and Puccinellia. Can. J. Bot. 39: 123-128. Brys, R., Jacquemyn, H., Endels, P., de Blust, G. & Hermy, M. 2004. The effects of grassland management on plant performance and demography in the perennial herb Primula veris. J. Appl. Ecol. 41: 1080-1091. Bullock, J.M. 2000. Gaps and seedling colonization. In: Fenner, M. (ed.) Seeds – the ecology of regeneration in plant communities, pp. 375-395. 2nd ed. CABI, Wallingford, UK. Cramer, W. & Hytteborn, H. 1987. The separation of fluctuation and long-term change in vegetation dynamics of a rising seashore. Vegetatio 69: 157-167. Crawley, M.J. 1997. Plant-herbivore dynamics. In: Crawley, M. (ed.) Plant ecology, pp. 401-474. 2nd ed. Blackwell Science, Oxford, UK. Crawley, M.J. 2004. Statistical computing. An introduction to data analysis using S-Plus. Wiley, London, UK. Ehrlén, J., Syrjänen, K., Leimu, R., Garcia, M.B. & Lehtilä, K. 2004. Land use and population growth of Primula 32 RAUTIAINEN, P. veris: an experimental demographic approach. J. Appl. Ecol. 42: 317-326. Eurola, S. 1999. Kasvipeitteemme alueellisuus. Biogeography of Finnish Plants. Oulanka Reports 22, Oulu, FI. (In Finnish.) Grime, J.P. 1979. Plant strategies and vegetational processes. Wiley, London, UK. Hämet-Ahti, L., Suominen, J., Ulvinen, T. & Uotila, P. 1998. Retkeilykasvio. Field Flora of Finland. Yliopistopaino, Helsinki, FI. (In Finnish.) Hänninen, J. & Leppäkoski, E. 2004. Rehevöityminen ja umpeenkasvu. In: Walls, M. & Rönkä, M. (eds.) Veden varassa. Suomen vesiluonnon monimuotoisuus. Biodiversity of Finnish waters, pp. 102-108. Edita, Helsinki, FI. (In Finnish.) Hik, D.S., Jefferies, R.L. & Sinclair, A.R.E. 1992. Foraging by geese, isostatic uplift and asymmetry in the development of salt-marsh plant communities. J. Ecol. 80: 395-506. Hoffmann, M. & Isselstein, J. 2004. Seedling recruitment on agriculturally improved mesic grassland: the influence of disturbance and management. Appl. Veg. Sci. 7: 193-200. Ihaka, R. & Gentleman, R. 1996. R: A language for data analysis and graphics. J. Comput. Graph. Stat. 5: 299-314. Jäkäläniemi, A., Tuomi, J. & Siikamäki, P. 2006. Conservation of species in dynamic landscapes: divergent fates of Silene tatarica populations in riparian habitats. Conserv. Biol. 20: 844-852. Johansson, M.M., Kahma, K.K., Boman, H. & Launiainen, J. 2001. Trends in sea level variability in the Baltic Sea. Boreal Environ. Res. 6: 159-179. Johansson, M.M., Kahma, K.K., Boman, H. & Launiainen, J. 2004. Scenarios for the sea level on the Finnish coast. Boreal Environ. Res. 9: 153-166. Jutila, H. 2001. How does grazing by cattle modify the vegetation of coastal grassland along the Baltic Sea? Ann. Bot. Fenn. 38: 181-200. Jutila, H. 2003. Germination in Baltic coastal wetland meadows: similarities and differences between vegetation and seed bank. Plant Ecol. 166: 275-293. Keymer, J., Marquet, P.A., Velasco-Hernández, J.X. & Levin, S.A. 2000. Extinction thresholds and metapopulation persistence in dynamic landscapes. Am. Nat. 156: 478-494. Kreivi, M., Rautiainen, P., Aspi, J. & Hyvärinen, M. 2005. Genetic structure and gene flow in an endangered perennial grass, Arctophila fulva var. pendulina. Conserv. Gen. 6: 683-696. Laamanen, M., Fleming, V., Kauppila, P. & Olsonen, R. 2005. Helcom Eutro – The Bothnian Bay basin report.Helsinki Commission. Meeting documents. http://sea.helcom. fi/dps. html. Mäkinen, L. & Mäkinen, Y. 1964. The distribution, ecology, morphology and taxonomy of Primula nutans Georgi ssp. finmarchica (Jacq.) Löve & Löve. Ann. Bot. Fenn. 1: 273-291. Matlack, G.R. 2005. Slow plants in a fast forest: local dispersal as a predictor of species frequencies in a dynamic landscape. J. Ecol. 93: 50-59. McCullagh, P. & Nelder, J.A. 1989. Generalized linear models. 2nd ed. Chapman & Hall, London, UK ET AL. McLaren, J.R. & Jefferies, R.L. 2004. Initiation and maintenance of vegetation mosaics in an Arctic salt marsh. J. Ecol. 92: 648-660. Oostermeijer, J.G.B. 2003. Threats to rare plant persistence. In: Bringham, C.A. & Schwartz, M.W. (eds.) Population viability in plants: Conservation, management, and modelling of rare plants, pp. 17-58. Springer, Berlin, DE. Pykälä, J. 2000. Mitigating human effects on European biodiversity through traditional animal husbandry. Conserv. Biol. 14: 705-712. Rautiainen, P., Laine, A.-L., Aikio, S., Aspi, J., Siira, J. & Hyvärinen, M. 2004. Seashore disturbance and management of the clonal Arctophila fulva: Modelling patch dynamics. Appl. Veg. Sci. 7: 221-228. Ryttäri, T. & Kettunen, T. 1997. Uhanalaiset kasvimme. [Our endangered plant species]. Suomen ympäristökeskus. Kirjayhtymä Oy, Helsinki, FI. (In Finnish.) Siira, J. 1984. On the vegetation and ecology of the primary saline soils of the Bothnian Bay. Aquilo Ser. Bot. 20: 1-13. Siira, J. 1994. The occurrences and ecology of Arctophila fulva (Poaceae) on the Liminka Bay (The Gulf of Bothnia). Aquilo Ser. Bot. 33: 107-120. Siira, J. & Haapala, H. 1969. Studies in the distribution and ecology of Puccinellia phryganodes (Trin.) Scribn. Merr. in Finland. Aquilo Ser. Bot. 8: 1-24. Siira, J. & Merilä, E. 1985. Puccinellia phryganodes (Poaceae) in Finland: Occurrences and ecology up to 1983. Ann. Bot. Fenn. 22: 281-290. Snäll, T., Ribeiro Jr., P.J. & Rydin, H. 2003. Spatial occurrence and colonisations in patch-tracking metapopulation: conditions versus dispersal. Oikos 103: 566-578. Sørensen, T. 1953. A revision of the Greenland species of Puccinellia parl. Meddelar om Grønland 136: 1-179. Srivastava, D.S. & Jefferies, R.L. 1996. A positive feedback: herbivory, plant growth, salinity, and the desertification of an Arctic salt-marsh. J. Ecol. 84: 31-42. Stammel, B., Kiehl, K. & Pfadenhauer, J. 2003. Alternative management on fens: Response of vegetation to grazing and mowing. Appl. Veg. Sci. 6: 245-254. Tyler, G. 1969. Studies in the ecology of Baltic sea-shore meadows II. Flora and vegetation. Opera Bot. 25: 1-101. Ulvinen, T. 1997. Ruijanesikko. In: Ryttäri, T. & Kettunen, T. (eds.) Uhanalaiset kasvimme. [Our endangered plant species], p. 221. Suomen ympäristökeskus. Kirjayhtymä Oy, Helsinki, FI. (In Finnish.) Valverde, T. & Silvertown, J. 1995. Spatial variation in the seed ecology of a woodland herb (Primula vulgaris) in relation to light environment. Funct. Ecol. 9: 942-950. Vartiainen, T. 1980. Succession of island vegetation in the land uplift area of the northernmost Gulf of Bothnia. Acta. Bot. Fenn. 115: 1-105. Received 15 August 2005; Accepted 20 January 2006; Co-ordinating Editor: J. Pfadenhauer.
© Copyright 2026 Paperzz