Interactive Effects Between Reindeer and Habitat Fertility Drive Soil Nutrient Availabilities in Arctic Tundra
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- Sitters, J., te Beest, M., Cherif, M. et al. Ecosystems (2017). doi:10.1007/s10021-017-0108-1
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Herbivores impact nutrient availability and cycling, and the net effect of herbivory on soil nutrients is generally assumed to be positive in nutrient-rich environments and negative in nutrient-poor ones. This is, however, far from a uniform pattern, and there is a recognized need to investigate any interactive effects of herbivory and habitat fertility (i.e., plant C/N ratios) on soil nutrient availabilities. We determined long-term effects of reindeer on soil extractable nitrogen (N) and phosphorus (P) and their net mineralization rates along a fertility gradient of plant carbon (C) to N and P ratios in arctic tundra. Our results showed that reindeer had a positive effect on soil N in the more nutrient-poor sites and a negative effect on soil P in the more nutrient-rich sites, which contrasts from the general consensus. The increase in N availability was linked to a decrease in plant and litter C/N ratios, suggesting that a shift in vegetation composition toward more graminoids favors higher N cycling. Soil P availability was not as closely linked to the vegetation and is likely regulated more by herbivore-induced changes in soil physical and chemical properties. The changes in soil extractable N and P resulted in higher soil N/P ratios, suggesting that reindeer could drive the vegetation toward P-limitation. This research highlights the importance of including both the elements N and P and conducting studies along environmental gradients in order to better understand the interactive effects of herbivory and habitat fertility on nutrient cycling and primary production.
Keywordscarbon decomposition grazing herbivory litter microbial mineralization nitrogen nutrient cycling phosphorus plant stoichiometry
Large mammalian herbivores influence nutrient cycling in ecosystems throughout the world (Milchunas and Lauenroth 1993; Hobbs 1996; Bardgett and Wardle 2003). The main mechanism by which they do this is by changing the quantity and/or quality of resources supplied to the soil, affecting the rate of organic matter decomposition and soil nutrient availability (McNaughton 1984; Wilsey and others 1997; Bardgett and Wardle 2003; Pastor and others 2006). Herbivores influence the rate and form of nutrients that are returned to the soil directly by returning nutrients consumed as plant material in the form of dung and urine or indirectly by altering plant litter quantity and its nutrient content and degradability (McNaughton and others 1997; Ritchie and others 1998; Bardgett and Wardle 2003; Bakker and others 2009). These mechanisms occur simultaneously and can have contrasting effects on soil nutrient availability and hence primary production. For instance, empirical studies have found positive (Hobbs and others 1991; Frank and Evans 1997; McNaughton and others 1997), negative (Pastor and others 1993; Ritchie and others 1998; Fornara and Du Toit 2008) or mixed effects (Olofsson and others 2001; Olofsson and Oksanen 2002; Stark and Grellmann 2002; Stark and others 2003) of herbivores on nitrogen (N) cycling and primary production.
One factor that might explain these mixed effects of herbivores on nutrient cycling is the initial nutrient availability in a system. Traditionally it has been assumed that herbivores have mainly positive effects on N availability and primary production in nutrient-rich environments dominated by plants of high quality (i.e., low carbon (C) to N ratios), and mainly negative ones in nutrient-poor environments dominated by plants of low quality (i.e., high C/N ratios) (Hobbs 1996; Bardgett and Wardle 2003; Pastor and others 2006). This is based on the facts that (1) herbivores excrete a higher proportion of nutrients consumed when the nutrient content of plants is higher (Hobbs 1996), and (2) herbivory favors resilient plants with high litter quality in nutrient-rich environments and resistant plants with low litter quality in nutrient-poor environments (Bardgett and Wardle 2003). However, this is far from a uniform pattern and at least one study has actually supported the opposite pattern, that is, a negative relationship between habitat/plant quality and the effect of herbivores on N availability (Bakker and others 2009). Proposed explanations for these contradictory results include the importance of other factors than initial nutrient availability in determining the net effect of herbivores on soil N, such as trampling-induced soil compaction or lateral transport of nutrients between habitats (Sitters and Olde Venterink 2015). In addition, a recent model analysis predicts that herbivory will decrease microbial activity by reducing C supply to the soil through consumption of plant biomass and will thus have a negative effect on N availability at low plant C/N ratios through a decrease in mineralization rates and a positive effect at higher plant C/N ratios through a decrease in immobilization rates (Cherif and Loreau 2013). These studies emphasize the need to investigate the effects of herbivores across environmental gradients.
We conducted our study in a reindeer-grazed tundra system in northern Fennoscandia. For two reasons this is a suitable system to test the effects of herbivory on nutrient availability across a productivity gradient: (1) plant community structure and stoichiometry is known to vary dramatically along topographic gradients at relatively small spatial scales (Björk and others 2007; Chu and Grogan 2010; Sundqvist and others 2011a), and (2) reindeer have been shown to have strong but varying effects on nutrient availability (Olofsson and others 2001; Stark and Grellmann 2002; Stark and others 2002; Olofsson and others 2004; Van der Wal and Brooker 2004; Stark and others 2010). So far, studies on the effects of reindeer on nutrient availability have focused primarily on N, likely because it is considered to be the main limiting nutrient in tundra ecosystems (Shaver and Chapin 1980; Tamm 1991; Aerts and Chapin 2000). However, recent studies suggest that phosphorus (P) might be more important for plant productivity than previously assumed (Giesler and others 2012; Sundqvist and others 2014) and so the effect of herbivores on soil P availability warrants our attention.
The aim of this study is therefore to determine the long-term effects of reindeer on soil N and P availabilities and plant nutrient traits across a topographic gradient encompassing both nutrient-poor and nutrient-rich environments. More specifically, we test the hypotheses that herbivory will have a negative effect on N and P availabilities in nutrient-rich environments and a positive effect in nutrient-poor environments.
Material and Methods
The study area is located in Reisadalen, Troms Fylke, northern Norway (69°30′N, 27°30′E) between 500 and 700 m a.s.l., which is about 100 m above the local tree line. The area experiences a sub-oceanic climate (Oksanen and Virtanen 1995). Mean annual temperature at the site was −3.3°C based on local loggers, and the average precipitation at the nearest climatic station (Kautokeino) is 389 mm/year. We conducted the study across a reindeer fence, established in the 1960s to prevent reindeer from entering their winter ranges during summer. The fence runs for several kilometers across the tundra and divides it into a side that is only very lightly grazed and a side that is heavily grazed (Olofsson and others 2001; see Appendix A for measures of reindeer activity). There is thus no difference in the timing of the presence of reindeer among the grazing regimes, only a large difference in reindeer density. We want to emphasize that grazing in this study includes trampling on the vegetation in its definition.
Selection of Study Sites
We chose four replicates sites for each vegetation type. We randomly selected 1 m × 1 m plots on both sides of the fence (32 plots in total) within those sites that were paired as topographically and edaphically uniform as we could. The distance between pairs was approximately 10 m, so that differences in soil and vegetation within a set of paired plots could be assumed to result from reindeer grazing, not environmental variation. Sets of paired plots were spaced approximately 100 m apart along the fence line, resulting in a total distance between first and last plots of approximately 2 km. We consider this sufficient to ensure adequate independence among them (Sundqvist and others 2011b).
Soil Sampling and Measurements
In 2013, we collected soil samples from the whole organic layer at three occasions: in early June, late July and mid-September. The sampling was performed using a soil corer (7 cm diameter), and one to two cores were taken at one corner of each plot. If two cores were collected, they were pooled into one composite sample. The samples were frozen for two to five months depending on sampling time until analysis. Live plant material and roots were removed, and the samples were homogenized after thawing. Bulk density, soil moisture (105°C, 12 h) and loss on ignition (475°C, 4 h) were determined on all soil samples. For the soil sampled in July, total C and N concentrations were analyzed by an automated analyzer (Costech ECS 4010, Costech International S.p.A., Italy). For all soil samples, a sub-sample of 2 g fresh weight was extracted with 50 ml of 0.5 M K2SO4 on a shaker (1 h) and filtered, and extractable inorganic N and P concentrations (i.e., NO3-N, NH4-N, PO4-P) were determined on the filtrate colorimetrically (Bremner 1965) by an automated flow injection analyzer (FIA star 5000, FOSS Analytical, Denmark). Total extractable N and P concentrations were analyzed in the extracts by oxidizing all extractable N and P to NO3 and PO4 (Williams and others 1995) and then analyzing them colorimetrically as above. Microbial biomass N and P were extracted from soils using 0.5 M K2SO4 after chloroform fumigation (18 h; Brookes and others 1985) and analyzed as total extractable N and P after oxidation as described above. Microbial N and P were calculated by subtracting total extractable N or P concentrations in the unfumigated extracts from those in the fumigated ones. Extractable inorganic N and P pools in each plot were determined from soil bulk density values and organic layer depth.
We furthermore used the buried bag method for determination of net N and P mineralization rates (Eno 1960). For this, we collected the top 5 cm of the organic layer (soil corer diameter 7 cm) at each plot in early June 2013, which roughly equaled the mean depth of the organic layer (4.1 ± 0.3 cm for the lightly grazed and 4.9 ± 0.5 cm for the heavily grazed plots, mean ± SE). The samples were put into a polyethylene bag after removal of aboveground plant material. The polyethylene bags were then reburied and covered with the removed plant material and a thin layer of moss. Bags were collected after 47–50 days (late July) and were kept frozen for 4 months until analysis. We analyzed the soil incubations for extractable N and P concentrations using the same methods as described above. Net mineralization rates per day were calculated as the change in extractable N or P concentrations from the retrieved soil incubations and the ‘initial’ soil cores taken early June 2013 divided by the amount of days they were incubated in the field.
Vegetation Sampling and Measurements
We estimated relative abundance and species composition of plants in all plots at the peak of the growing season (31 July–1 August 2013) with a modified point intercept method: 100 pins per 1 m × 1 m plot. This index correlates well with plant biomass for a single species (Jonasson 1988). Additionally, we harvested aboveground plant biomass in a 25 cm × 25 cm square adjacent to each plot. The harvested material was visually sorted to the level of plant functional type (that is, evergreen shrub, deciduous shrub, forb and graminoid), dried (60°C, 48 h) and ground in a ball mill. Samples were analyzed for total C and N concentrations (Costech ECS 4010, Costech International S.p.A., Italy). Total P concentrations in the plant samples were determined using the ignition method described by Andersen (1976) after which molybdate reactive phosphate was determined spectrophotometrically (PerkinElmer Lambda 40 UV/VIS Spectrometer, PerkinElmer, USA) as described by Murphy and Riley (1962).
We additionally collected soil turfs (ca. 30 cm × 20 cm), consisting of the ground vegetation and the top organic layer, at a corner of each plot in the middle of September 2013. Because most of the plant leaves had senesced, the collected litter represented current year litter combined with the surface leaf litter stock that has senesced in recent years but not yet fully decomposed (Buckeridge and others 2010). The turfs were frozen until analysis. After thawing, a sample square (193 ± 5 cm2) on each turf was selected in which all live plant material was removed and the remaining surface litter collected by hand and visually sorted to the level of plant functional type (that is, evergreen shrub, deciduous shrub, forb and graminoid). All litter was dried (60°C, 48 h) and weighed to determine total litter biomass per plot. The dried material was then ground and analyzed for total C, N and P concentrations as described above.
We calculated community-weighted mean values for plant and litter C/N, C/P and N/P ratios in each plot by multiplying elemental ratios of each plant functional group (that is, evergreen shrub, deciduous shrub, graminoid and forb) by relative abundance or litter biomass of this functional group, adding these values and then dividing them by the total plant abundance or litter biomass in each plot.
Results on soil extractable N and P, microbial N and P, and net N and P mineralization rates were calculated both per soil area and soil OM. Additionally, we used the mean values for extractable and microbial N and P across the three collection dates to minimize the variation throughout the growing season. We removed one data point from the statistical analyses (a lightly grazed plot at the topographic position of depression for the sampling month June), as it was not possible for us to determine the thickness of the organic layer in this plot due to waterlogging, and we therefore could not accurately estimate soil nutrient availabilities in this plot.
We analyzed the effects of grazing regime, topographic position and their interaction on plant, litter and soil elemental ratios, soil extractable N and P, net N and P mineralization rates, microbial N and P with linear-mixed effects models, whereby we used the paired plot number as random factor to account for the spatial autocorrelation of the paired study design. To test for the effect of reindeer on the relative abundance of plant functional types (that is, evergreen shrub, deciduous shrub, forb and graminoid) at each topographic position, we also used linear-mixed effect models with plant functional type and grazing regime as fixed effects and paired plot number as random effect. If necessary, data were log-transformed to meet assumptions of normality and homogeneity of variance. All data analyses were performed with the open source R, version 3.0.1 (R Development Core Team 2013).
ANOVA Results for the Effects of Grazing Regime, Topographic Position and Their Interaction on Several Plant and Soil Elemental Ratios
Plant and soil elemental ratios
GR × TP
Mean plant C/N
Mean plant C/P
Mean plant N/P
Mean litter C/N
Mean litter C/P
Mean litter N/P
Total soil C/N
ANOVA Results for the Effects of Grazing Regime, Topographic Position and Their Interaction on Several Measures of Soil N and P
GR × TP
Extractable soil N
(µg g OM−1)
(mg m−2 day−1)
(µg g OM−1 day−1)
Soil microbial N
(µg g OM−1)
Extractable soil P
(µg g OM−1)
(mg m−2 day−1)
(µg g OM−1 day−1)
Soil microbial P
(µg g OM−1)
The in situ incubations did not reveal any statistically significant differences in net N or P mineralization rates between the grazing regimes (Table 2; Figure 3C, D). There was a trend toward higher net N mineralization rates in the heavily grazed sites, but only when calculated per area (Table 2). Soil microbial N was higher in the lower zonal sites than in the depressions and higher zonal sites when lightly grazed, but reindeer had no statistically significant effects on soil microbial N or P (Table 2; Figure 3E, F).
Summary of the Effects of Reindeer on Soil, Plant and Litter C/N/P Ratios and Soil Extractable N and P Concentrations at the Four Topographic Positions
Lower zonal sites
Higher zonal sites
Soil extractable N
Soil extractable P
Soil extractable N/P
Dominating plant type
Herbivores favored and facilitated the growth of grazing tolerant rather than resistant plants independent of the habitat fertility in our study system, in contrast with what has been previously assumed (Bardgett and Wardle 2003; Wardle and others 2004; Pastor and others 2006). This is not too surprising since many other factors in addition to the fertility of a site have been found to influence whether herbivores favor grazing resistant or tolerant plants. Although selective herbivory often reduces the abundance of plants with the highest nutrient content, herbivores can also favor nutrient-rich plants with fast decomposing litter and thus increase nutrient cycling (Belovsky and Slade 2000). This seems to be especially common in systems where the level of herbivory is high (Dahlgren and others 2009), selectivity is low (Pastor and others 2006), differences in plant regrowth rates are larger than differences in palatability (Olofsson and others 2012), or where the non-selective physical disturbance from trampling is high (Olofsson and Oksanen 2002; Olofsson and others 2004). At least the first and the last of these factors are true in our study system, since the density of reindeer is high in the heavily grazed sites, and reindeer move and trample on the vegetation more than many other herbivores. However, it should be noted that our data indicate that the behavior of reindeer close to the fence does not differ from reindeer in places without fences, as the ratio of trampling to dung is close to the Scandinavian average (Olofsson and others, unpublished data).
The effect of reindeer on N availability seems to be closely linked to the effect of reindeer on C/N ratios of plants and litter, since N availability increased in the two nutrient-poor sites, where C/N ratios of plants and litter decreased (Table 3). Graminoids have become dominant in the heavily grazed areas irrespectively of the plant community composition in lightly grazed conditions (Figure 4; Table 3). This vegetation shift was most likely caused by an increased N availability and a competitive advantage for the graminoids. This resulted in a reduced C/N ratio of the litter in the more shrubby habitats where the vegetation shifted from being dominated by deciduous (C/N = 31.9) and evergreen shrubs (C/N = 38.7) to graminoids (C/N = 24.4). Moreover, the increased soil N availability and decreased plant C/N ratios are also expected to result in faster decomposing litter (Olofsson and Oksanen 2002; Sundqvist and others 2011a) that can maintain a higher N cycling and a continued dominance of the graminoids. In the habitat already dominated by graminoids in lightly grazed conditions, the C/N ratio of the litter did not change (Figure 2D; Table 3) suggesting that the effect of reindeer grazing on N availability is marginal here. Although the causality cannot be determined with the study design applied here, the most parsimonious interpretation of these results is that plant community shifts to graminoids favor a higher N cycling. The microbial N pool was highest in the lower zonal sites, where both extractable N and N mineralization were also highest, and litter and soil C/N lowest (Figures 2D, G, 3). This relationship, however, might not be causal but rather driven by some other aspect of the topographic gradient since microbial N was not influenced by reindeer and the associated changes in soil and litter C/N ratios (Figure 3E; Table 2). Microbial P pools were in contrast not influenced by topography or reindeer grazing (Figure 3F; Table 2). To what extent these changes will also change other soil traits related to nutrient availability and how persistent these changes are without the influence of reindeer grazing remains to be addressed in future studies.
The higher N availability in the nutrient-poor sites could potentially be the result of a higher N mineralization rate in response to a lower C supply to the decomposer community in the heavily grazed sites as suggested by Cherif and Loreau (2013); the effect of reindeer on N mineralization mimicked their effect on N availability in the nutrient-poor sites albeit the effects on N mineralization were not statistically significant (Figure 3C). Thus, at this stage, the hypothesis stands neither confirmed nor refuted. However, the concomitant decline in soil and litter C/N ratios (major drivers of N mineralization; Manzoni and Porporato 2009), increase in N mineralization rate, and increase in N availability due to grazing in nutrient-poor sites advocate for further enquiries in this hypothesis in the tundra ecosystem.
The topographic gradient used here was indeed a strong gradient in nutrient availability and vegetation composition as expected. It is also expected to be a strong gradient in other environmental factors such as soil pH, soil moisture, vegetation height and snow cover (Giblin and others 1991; Oksanen and Virtanen 1995; Elvebakk 1999; Björk and others 2007), which is also true for our sites (see material and methods section for details). We would like to stress that the type of topographic fertility gradient we used has been described in tundra ecosystems in detail over the past three decades and consistently shows strong linkages with factors, such as soil pH, soil C/N ratio and plant nutrient availability (Giblin and others 1991, and more recent papers such as Sundqvist and others 2014 and De Long and others 2016). Moreover, all of these factors also differed between grazing regimes. However, we do not see how any of these factors could explain the increase in soil extractable N and the decreased C/N ratios in soils, litter and plants in the nutrient-poor habitats.
The extractable P in the soil was lower in heavily grazed sites in the two nutrient-rich habitats (Figure 3B; Table 3). This combined with the higher extractable N in the nutrient-poor habitats resulted in a higher extractable N/P ratio in heavily grazed sites in all habitats (with a trend for lower zonal sites at P = 0.1; Table 3; Appendix B). The lower soil P availability and higher N/P ratio suggest that large ungulates could drive the vegetation in the direction of P-limitation in accordance with several previous studies (Binkley and others 2003; Anderson and others 2007; Mekuria and others 2007). Because recent studies suggest that P-limitation of plants and microbes in the tundra might be more common than previously assumed (Giesler and others 2012; Zamin and Grogan 2012; Sundqvist and others 2014), the effect of reindeer on P availability could potentially be important. Although the soil N/P ratios were higher in the heavily grazed sites in the two most nutrient-rich sites, an eventual P-limitation was not well manifested in the vegetation since the only differences were a lower plant C/P in the heavily grazed exposed ridges and a lower litter C/P ratio in the heavily grazed higher zonal sites (Figure 2B, E; Table 3). This indicates that soil P availability was not as closely linked to the vegetation as soil N availability. One explanation for this could be that reindeer simply remove more P from the system since they have a high P demand for their antler production (Moen and others 1999). An alternative mechanism could be that the decrease in extractable P is caused by a change in the soil chemical properties of the humus layer due to trampling. Trampling-induced soil compaction by herbivores (Schrama and others 2013) could potentially result in an increased connectivity with the underlying mineral soil and cause a transfer of P-sorbing elements, such as Al and Fe, from the mineral soil into the humus layer (Giesler and others 2000). This would increase the P-sorbing capacity of the humus layer and decrease extractable P concentrations. Further studies are, however, needed to unravel the causes behind the lower extractable P in heavily grazed sites in the nutrient-rich environments.
If nutrient-rich tundra environments are closer to P-limitation than nutrient-poor (as indicated by Sundqvist and others 2011a; Giesler and others 2012), they might be more vulnerable to changes in their P status due to herbivore grazing. Such changes could be related to the shift in plant functional type and thereby nutrient stoichiometry, but also due to changes in soil physical and chemical properties. The humus thickness in more fertile soils tends to be more shallow and moist (Giesler and others 2012), and these soils may thus be more sensitive to trampling compared to sites with nutrient-poor heathland soils with a thicker humus layer. The response to reindeer across a topographic gradient of fertility could thus be an interactive effect of both the prevailing nutrient status before grazing, as we see in this study, and the sensitivity of an environment to physio-chemical changes. Because P is more likely to be affected by the latter, our study emphasizes that it is important in future studies to include both the elements N and P and relate their changes due to herbivory to both biotic features and physio-chemical properties. The strong effect of reindeer presented here is detected in an area with high reindeer densities, due to the presence of a boundary fence. Understanding the importance of these processes across the whole range of reindeer densities found in the arctic tundra is an important challenge in the future.
We thank Jonas Gustafsson, Maria Noro-Larsson and Ruth de Groot for their assistance in the field and laboratory. Sari Stark, Sirkka Aakonen, Anders Jonsson, Jan Johansson and Carin Olofsson are acknowledged for their help with the chemical analyses. We thank Harry Olde Venterink, Richard Bardgett and two anonymous reviewers for comments on an earlier version of this manuscript. This study was financed by Kempestiftelserna, Formas 2012-1039, 2012-230 and 2015-109, and Gunnar och Ruth Björkmans fund. JS was financially supported by a grant of the Research Foundation Flanders (FWO).
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