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Vandegehuchte, M., van der Putten, W. H., Duyts, H., Schütz, M., & Risch, A. C. (2017). Aboveground mammal and invertebrate exclusions cause consistent changes in soil food webs of two subalpine grassland types, but mechanisms are system-specific. Oikos,

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(1)Author Manuscript. Aboveground mammal and invertebrate exclusions cause consistent changes in soil food webs of two subalpine grassland types, but mechanisms are system-specific Martijn L. Vandegehuchte1, Wim H. van der Putten2,3, Henk Duyts2, Martin Schütz1 and Anita C. Risch1 1. Research Unit Community Ecology, Swiss Federal Inst. for Forest, Snow and Landscape Research,. Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland 2. Dept of Terrestrial Ecology, Netherlands Inst. of Ecology, (NIOO-KNAW), Wageningen, the. Netherlands 3. Lab. of Nematology, Wageningen Univ. and Research Centre (WUR), Wageningen, the Netherlands. Corresponding author: M. L. Vandegehuchte, Research Unit Community Ecology, Swiss Federal Inst. for Forest, Snow and Landscape Research, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland. Email: martijn.vandegehuchte@wsl.ch Decision date: 01-Jun-2016. This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: [10.1111/oik.03341].. ‘This article is protected by copyright. All rights reserved.’.

(2) Author Manuscript. (Abstract) Ungulates, smaller mammals, and invertebrates can each affect soil biota through their influence on vegetation and soil characteristics. However, direct and indirect effects of the aboveground biota on soil food webs remain to be unraveled. We assessed effects of progressively excluding aboveground large-, medium- and small-sized mammals as well as invertebrates on soil nematode diversity and feeding type abundances in two subalpine grassland types: short- and tall-grass vegetation. We explored pathways that link exclusions of aboveground biota to nematode feeding type abundances via changes in plants, soil environment, soil microbial biomass, and soil nutrients. In both vegetation types, exclusions caused a similar shift toward higher abundance of all nematode feeding types, except plant feeders, lower Shannon diversity, and lower evenness. These effects were strongest when small mammals, or both small mammals and invertebrates were excluded in addition to excluding larger mammals. Exclusions resulted in a changed abiotic soil environment that only affected nematodes in the short-grass vegetation. In each vegetation type, exclusion effects on nematode abundances were mediated by different drivers related to plant quantity and quality. In the short-grass vegetation, not all exclusion effects on omni–carnivorous nematodes were mediated by the abundance of lower trophic level nematodes, suggesting that omni-carnivores also depended on other prey than nematodes. We conclude that small aboveground herbivores have major impacts on the soil food web of subalpine short- and tall-grass ecosystems. Excluding aboveground animals caused similar shifts in soil nematode assemblages in both subalpine vegetation types, however, mechanisms turned out to be systemspecific.. ‘This article is protected by copyright. All rights reserved.’.

(3) Author Manuscript. Introduction Most terrestrial habitats harbor invertebrates as well as mammals of different body sizes, which can all influence soil biota by changing soil and vegetation properties. By consuming plant biomass and altering nutrient cycling, herbivores affect vegetation productivity, composition, and structure (Côté et al. 2004, Hobbs 1996). Small mammals and invertebrates exert broadly similar effects on grassland ecosystems as ungulates (Maron and Crone 2006, Howe et al. 2006), but there are some important differences (Bakker et al. 2004). For example, small herbivore impacts are thought to be independent of ecosystem productivity (Schädler et al. 2003). Conversely, ungulates tend to accelerate succession in unproductive systems by preferentially removing palatable plants, but slow down succession in productive systems by benefiting grazing-adapted plants with high compensatory growth (Bardgett and Wardle 2003). Unraveling the direct and indirect effects of aboveground herbivores on soil biota across ecosystems may enhance general understanding of how changes in aboveground communities affect ecosystem functioning from a combined aboveground-belowground perspective. There are numerous possible direct and indirect effects of different aboveground animals on soil food webs (Fig. 1). Aboveground herbivory can reduce leaf litter quantity (Bardgett and Wardle 2003, Classen et al. 2006), alter root biomass (Bardgett and Wardle 2003, Ferraro and Oesterheld 2002), increase root exudation or defenses (Bardgett and Wardle 2003, Pangesti et al. 2013), alter litter quality (Bardgett and Wardle 2003, Classen et al. 2006), and alter soil microclimate (Chen et al. 2013, Risch et al. 2013). Herbivores furthermore return nutrients to soils through feces, urine and food wastage (Hobbs 1996, Hunter 2001). Grazing can increase root exudation, soil nutrient levels or litter quality, which are expected to stimulate microbial populations (Bardgett and Wardle 2003). However, grazing can also decrease litter quality or increase root defenses, thus inhibiting soil microbes (Bardgett and Wardle 2003, Hamilton and Frank 2001, Pangesti et al. 2013, van der Wal et al. 2004). As soil animals tend to be bottom-up controlled by their resources (Chen et al. 2013, Rantalainen et al. 2004, Shao et al. 2015, Van der Stoel et al. 2006), changes in fungal, bacterial, and root biomass are expected to cause corresponding changes in the abundance of fungal-, bacterial-, and plant-feeding soil fauna (Chen et al. 2013, Rantalainen et al. 2004, Shao et al. 2015, Schon et al. 2010, Van der Stoel et al. 2006). Changes in abundance of these lower trophic level soil animals are in turn expected to have cascading, bottom-up effects on omnicarnivorous soil fauna (Chen et al. 2013, Rantalainen et al. 2004, Shao et al. 2015). Finally, aboveground herbivores can also alter the community composition of soil fauna through changes in vegetation composition (Veen et al. 2010). While the above-mentioned mechanisms are generally the same for herbivores of different body size and functional behavior (Fig. 1), there are also some notable differences. Ungulates may compact soils, which negatively affects soil fauna (Chen et al. 2013, Schon et al. 2012; Fig. 1). Ungulates also tend to concentrate larger amounts of nutrients (feces, urine) in patches, whereas small mammals and invertebrates distribute smaller amounts of frass and leaf-clippings more evenly (Hunter 2001, Bakker et al. 2004). Our study aimed to test whether and how differently sized aboveground herbivores affect various trophic levels of the soil food web in vegetation types with different grazing history and productivity, and to explore the underlying mechanisms. We focused on soil nematodes as a representative group of soil fauna because they are the most abundant soil animals, are highly diverse, and include representatives of various feeding modes at different trophic levels (Yeates et al. 1993). Soil nematodes are also functionally important as they play key roles in decomposition, nutrient cycling and plant productivity (Bardgett et al. 1999, Ingham et al. 1985). We performed a field experiment using size-selective fences to progressively exclude ungulates, medium and small mammals, as well as invertebrates. The fences were constructed in two subalpine vegetation types: productive short- and less productive tall-grass vegetation. We investigated how exclusions and vegetation types affected soil nematode diversity as well as the abundance of nematodes of different feeding types (bacterivores, fungivores, plant feeders, omni-carnivores). Studies have shown that both domestic and wild ungulates (Chen et al. 2013, Gough et al. 2012, Merrill et al. 1994, Schon et al. 2012, Stark et al. 2000, Veen et al. 2010) as well as invertebrates (Kaplan et al. 2008, Vandegehuchte et al. 2010, Wardle et al. 2004, Wondafrash et al. 2013) can exert effects on soil nematode abundance ranging from negative to positive. However, such studies have not yet included productivity differences between vegetation types. Therefore, we assessed whether exclusion effects differed between the shortand tall-grass vegetation, as these differ in grazing intensity. We further tested how exclusion effects on the different nematode feeding types were mediated by changes in vegetation properties, abiotic soil environment, soil microbial biomass or soil nutrients. We also assessed whether changes in the abundance of nematodes of lower trophic levels (bacterivores, fungivores, plant feeders) explained variation in abundance of nematodes of higher trophic levels (omni-carnivores). Material and Methods. Study area. The Swiss National Park in south-eastern Switzerland (6°40’N, 10°15’E) comprises 170 km2. Forests. ‘This article is protected by copyright. All rights reserved.’.

(4) Author Manuscript. cover 50 km2, alpine and subalpine grasslands 36 km2 and 84 km2 are unvegetated. The park spans elevations from 1400 to 3174 m asl. Mean annual temperature and precipitation were 0.8 ± 0.6°C and 850 ± 136 mm (30 year mean ± SD (1984-2013); Buffalora weather station, MeteoSchweiz 2015). Since park establishment in 1914, human interference has been kept to a minimum (see Vandegehuchte et al. 2015). Within subalpine grasslands two vegetation types are found that co-occur in large homogeneous patches: short- and tall-grass vegetation. Short-grass vegetation (2-5 cm height) is dominated by lawn grasses and developed in places where cattle and sheep used to rest. This resulted in a high return of nutrients to the soil prior to the park's creation. Tall-grass vegetation (20 cm height) is found in places where the livestock used to graze, but did not rest. In 1914 cattle and sheep were banned, but wild ungulates reimmigrated into the area and started feeding mainly in places where domestic ungulates had previously deposited nutrients (for more details see Schütz et al. 2006). The subalpine grasslands of the Swiss National Park are home to four main categories of aboveground animals based on body size: large (red deer (Cervus elaphus L.) and chamois (Rupicapra rupicapra L.), 30 - 150 kg), medium (alpine marmot (Marmota marmota L.) and mountain hare (Lepus timidus L.), 3 – 6 kg), and small mammals (small rodents: e.g. Clethrionomys spp., Microtus spp., Apodemus spp., 30 – 100 g) as well as invertebrates (e.g. Orthoptera, Lepidoptera, Auchenorrhyncha, Aphidoidea, < 5 g).. Exclusion experiment Six subalpine grasslands were selected throughout the Swiss National Park: three large and three small ones, located on south-, east- and north-facing slopes. Aerial distances between grasslands were minimum 0.7 km and maximum 7.5 km and cumulative elevation gains were minimum 150 m and maximum 1720 m. In the large grasslands we established four hierarchical exclosure setups (two in short- and two in tallgrass vegetation), whereas in the small grasslands, one setup was erected per vegetation type (18 exclosure setups in total, at altitudes from 1975 to 2300 m asl). The experimental design has been described in detail previously (e.g. Risch et al. 2013, Vandegehuchte et al. 2015). Briefly, each setup consisted of a set of five treatment plots (18 × 5 = 90 plots in total). One unfenced plot (“Control”) served as a control to which all aboveground mammals and invertebrates had access and was located at least five meters from the main fence (Fig. 2). This main fence consisted of wooden posts with electrified equestrian tape to exclude deer and chamois. The tape was mounted at 0.7, 0.95, 1.2, 1.5 and 2.1 m from the ground and charged by a solar panel. Equestrian tape mounted at 0.5 m height was not connected to the power source, to help exclude the ungulates but enable marmots and hares to enter safely. Within this main fence four 2 x 3 m plots were randomly assigned to one of four treatments. One plot was left untouched, so that except ungulates, all other mammals and invertebrates had access (“Deer exclosure”). A second plot was fenced with electric netting which further excluded marmots and hares, but had large enough non-electrified openings at the bottom to allow mice and voles to enter the plot (“Deer–marmot exclosure”). A third plot was fenced with metal wire netting to exclude all mammals, but allow invertebrates to enter (“Deer–marmot–mouse exclosure”). The fourth plot was fenced and roofed by metal mosquito netting to exclude all aboveground mammals and invertebrates (“Deer–marmot–mouse– invertebrate exclosure”). To test for potential effects on microclimate, we constructed a dummy “Deer– marmot–mouse–invertebrate” exclosure fence in each of the six grasslands, which was built like the “Deer–marmot–mouse–invertebrate” exclosures but had the lower 20 cm of mosquito netting removed on one side and replaced by metal wire netting that enabled invertebrates to enter while keeping mammals out. Except for a decrease in UV light, the dummy fence did not alter any of the variables measured (microclimate, plant biomass) compared to the “Deer–marmot–mouse exclosure” plots. Therefore all changes observed in the “Deer–marmot–mouse–invertebrate exclosure” plots could be attributed to the exclusion of invertebrates and not to roof effects. The experiment enabled to assess how nematodes responded to excluding progressively smaller aboveground animals in addition to excluding all larger animals, but not how excluding single animal size classes (except for the largest, i.e. ungulates) affected nematode abundance or community composition. In addition to herbivores, our exclosures also excluded the mammalian and invertebrate predators and omnivores of the same body size, but changes in plant and soil properties relevant to nematodes are mainly caused by excluding herbivores. To avoid snow pressure and avalanche damage, all fences were removed in the fall and reinstalled the next spring immediately after snowmelt. Fences were present for five consecutive growing seasons (2009-2013). Game cameras confirmed that small mammals entered the plots they were intended to enter.. Nematode sampling and identification In each of the 90 treatment plots, the vegetation was removed in a strip along the diagonal of one 1 x 1 m subplot (Fig. 2, subplot 4). Within this area we took 8 soil cores (2.2 cm diameter, 10 cm depth), in mid September 2013, mixed them and placed them in coolers with ice packs. Within a week the samples were transported to the lab and nematodes were extracted from 100 ml of fresh soil using Oostenbrink elutriators (Oostenbrink 1960). All nematodes in 1 ml of the 10 ml extract were counted and a minimum of 150 individuals per sample were identified to genus or family level using Bongers (1988). Numbers of all nematode taxa were extrapolated to the entire sample and expressed per 100 g dry soil for further analyses. Nematode taxa were classified into feeding types (plant feeders, fungivores, bacterivores, omni-. ‘This article is protected by copyright. All rights reserved.’.

(5) Author Manuscript. carnivores) and c-p (colonizer-persister) classes (Sieriebriennikov et al. 2014), and the abundance of each feeding type and the total nematode abundance were calculated. The maturity index (weighted mean of the c-p classes) and plant parasite index (maturity index based only on plant-feeding nematodes) were calculated (Bongers 1990) using the online tool NINJA (Sieriebriennikov et al. 2014). The maturity index is an indicator of the degree of maturity of an ecosystem, while the plant-parasite index is an indicator of nutrient enrichment and disturbance (Sieriebriennikov et al. 2014).. Vegetation and soil characteristics To test whether aboveground animal exclusions affected nematodes through changes in the vegetation, we measured several vegetation characteristics. Plant species cover was visually estimated (minimum 0.1 % for the rarest species) in July 2013 at peak standing biomass on a 1 × 1 m subplot (Fig. 2, subplot 3) in each treatment plot and plant species richness and diversity were calculated. Peak aboveground plant biomass was estimated with the canopy intercept method (Frank and McNaughton 1990; Fig. 2, subplot 3). Carbon (C), nitrogen (N), neutral detergent fiber (NDF) and acid detergent lignin (ADL) content were determined of vegetation clipped in July (peak biomass) and September (start of senescence) 2012 (Fig. 2, subplot 4), as described in detail in Vandegehuchte et al. (2015). Last year's vegetation quality was used as a proxy for the quality of the litter incorporated into the soil in the current year. To determine root biomass, five soil cores (2.2 cm diameter, 10 cm depth; Giddings Machine Company, Windsor, CO, USA) per treatment plot were taken at random from two strips where we clipped vegetation (Fig. 2, subplot 4) in early September 2013 and roots were sorted by hand (see Risch et al. 2013 for details). The 2 five values were averaged per plot and root biomass per m calculated. To test whether exclusion effects on nematodes were mediated by changes in soil nutrients, soil microbial biomass, or abiotic soil environment, we measured several soil parameters. To determine soil phosphorus (P), carbon (C), and nitrogen (N) concentration as well as soil pH, three additional soil samples were collected at random from the two strips where vegetation was clipped (Fig. 2, subplot 4) with a core sampler (5 cm diameter; AMS Samplers, American Falls, ID, USA). In a first step, the organic soil (rhizosphere layer, 1 to 5 cm depth) was collected, and in a second step, a 10 cm core of underlying mineral soil. The three samples of each soil type were mixed, transferred to the laboratory, dried at 65°C and passed through a 2 mm sieve and soil phosphorus (P) concentration (Olsen method for alkaline soil; ascorbic acid colorimetric method), and C and N concentration were determined (as in Vandegehuchte et al. 2015). Mineral soil pH was determined potentiometrically in 10 mM CaCl2 (soil:solution ratio = 1:2, equilibration time 30 min). Another three cores were collected as described above (Fig. 2, subplot 4), the three mineral soil samples pooled, passed through a 2 mm sieve and kept at 4°C until determination of mineral soil microbial biomass carbon (Anderson and Domsch 1978). Organic soil samples were too small to analyze microbial biomass carbon. A soil sample collected in June 2013 from each plot (5 cm diameter, 10 cm depth; Fig. 2, subplot 4) after removing the vegetation was dried at 105 °C to constant weight and sieved over a 4 mm mesh sieve, after which soil fine-fraction bulk density, a measure of soil compaction, was determined. Soil moisture and soil temperature were measured every fortnight from late May until early September 2013 (n=8). Soil moisture was measured with a Field-Scout TDR-100 (time domain reflectometer; Spectrum Technologies, Plainfield IL, USA) for the 0-10 cm soil layer at five random points within a 1 x 1 m subplot (Fig. 2, subplot 6) and averaged per plot. Soil temperature was measured at one point per plot (Fig. 2, subplot 6) for the 0-10 cm soil layer with a digital thermometer (Barnstead International, Dubuque IA, USA). Soil moisture and soil temperature values were averaged per plot across the eight dates for analyses.. Statistical analyses We calculated nematode taxon and plant species richness (S), Shannon diversity (H’ = -Σpi ln(pi), where pi is relative abundance or cover), and evenness (E=H’/ln(S)). Variables other than microbial biomass, the nematode feeding type abundances and total nematode abundance were grouped into three categories: (i) 'plants' (plant S, H’ and E, aboveground and root biomass, peak and senescence shoot C, N, NDF and ADL content); (ii) 'soil environment' (soil temperature, moisture, pH and bulk density); (iii) 'soil nutrients' (organic and mineral soil C, N and P content). The experiment was analyzed as a split-plot design with vegetation type as whole-plot factor and exclusion treatment as split-plot factor and exclosure setups (whole plots) blocked on grassland. We used general linear mixed models to test effects of vegetation type, exclusion treatment and their interaction (fixed) on nematode variables and plant and soil characteristics, including grassland and exclosure setup as random factors. The Kenward-Roger approximation was used to calculate denominator degrees of freedom (Kenward and Roger 1997). Post hoc pairwise comparisons were corrected for multiple testing with the False Discovery Rate (FDR) method (Benjamini and Hochberg 1995). Normality of conditional studentized residuals was checked visually and with a Shapiro-Wilk test. Variables were log- or power transformed when necessary. Structural Equation Modeling (SEM) was used to investigate effects of the exclusion treatments on the abundance of the different nematode feeding types, and how these effects were mediated by plants and soils, for each vegetation type separately. So that treatment differences could be assessed. ‘This article is protected by copyright. All rights reserved.’.

(6) Author Manuscript. independently from variation between exclosure setups (i.e. sites), residuals of all variables per exclosure setup were used in each SEM. We reduced the number of variables by performing a Principal Component Analysis (PCA) on these residuals (scaled by their standard deviation) for the 'plants', 'soil environment' and 'soil nutrients' categories for each vegetation type (Chen et al. 2013, Grace 2006, Veen et al. 2010), of which the first principal component (PC1) explained 29%, 44% and 65% respectively in the short-grass vegetation and 33%, 40% and 41% respectively in the tall-grass vegetation. For each PCA, exclosure treatment effects on PC1 scores were tested with an ANOVA. Prior to performing SEM, endogenous variables were scaled by their standard deviation. We started from a model including all links from the exclusion treatments (modeled as four dummy variables, with the "Control" plots acting as control level) to the 'plants', 'soil environment' and 'soil nutrients' PC1 scores as well as to microbial biomass, and from these four variables onwards to the abundance of bacterivorous, fungivorous, plant-feeding, and omnicarnivorous nematodes. Links from bacterivorous, fungivorous and plant-feeding nematode abundance to omni-carnivorous nematodes were included, as well as direct links from the exclusion dummy variables to each of the nematode feeding type abundances. All residual covariances between 'plants', 'soil environment', and 'soil nutrients' PC1 scores and soil microbial biomass were included as well, representing unexplained relationships among these variables. Similarly, we included residual covariances between bacterivore, fungivore and plant feeder abundance. This a priori model (see Supplementary material Appendix 1 Fig. A1) was saturated, which means that there was a direct uni- or bidirectional relationship between each variable and each of the other variables (except among dummy treatment variables, which were considered fixed), all of which were plausible hypotheses. We fitted this saturated model to the data to estimate the path coefficients. By subsequently removing non-significant paths (P > 0.05) in order of descending significance level, we obtained a final SEM for each vegetation type (Chen et al. 2013, Veen et al. 2010). Each SEM was fitted by standard maximum likelihood estimation, with robust standard errors and a scaled robust χ2 test statistic. A large P-value associated with the χ2 statistic indicates that the covariance structure of the data does not differ significantly from the covariance structure implied by the model (Grace 2006). All linear models were performed in SAS 9.4, and PCA and SEM analyses were performed using R 3.2.1. Results. Soil nematode responses to aboveground exclusions in two vegetation types Sixty-three nematode taxa including both genera and families were identified from our samples (for details, see Supplementary material Appendix 2, Table A1). There was no difference in the abundance of any of the nematode feeding groups between the two vegetation types across exclusion treatments. Aboveground exclusions strongly affected the abundance of all but plant-feeding nematodes in both vegetation types (Table 1, Fig. 3). Compared to control plots and plots excluding large and medium mammals, total nematode abundance was higher in plots excluding all mammals or all mammals plus invertebrates (Fig. 3a). Exclusion-driven increases in total nematode abundance were mainly due to increases in bacterivorous and fungivorous nematodes, which made up the majority of individuals. Increases in omni-carnivorous nematode abundance contributed less to increases in total nematode abundance. In plots with all mammals or all mammals and invertebrates excluded, bacterivores and fungivores were more abundant than in control plots (Table 1, Fig. 3b,c). Numbers of plant feeders did not respond to the exclusion treatments (Table 1, Fig. 3d). There were more omni-carnivorous nematodes in plots with all mammals and invertebrates excluded than in control plots (Fig. 3e). The plant parasite index, indicative of soil nutrient enrichment, and maturity index, an indicator of successional stage, did not differ significantly between vegetation types or exclusion treatments, nor did nematode taxon richness (S) (Table 1, Fig 3f,g,h). Nematode Shannon diversity (H’) was higher in the short- than in the tall-grass vegetation. In both vegetation types, Shannon diversity was lower when all mammals and invertebrates were excluded than in the control plots (Fig. 3i). When all mammals, or all mammals and invertebrates were excluded nematode evenness (E) was significantly lower than in the control plots (Fig. 3j). Soil nematode responses to aboveground exclusions were very consistent in both vegetation types: None of the exclusion treatment effects on nematode feeding type abundances or diversity measures showed a significant interaction with vegetation type (Table 1). Moreover, according to post hoc pairwise comparisons, none of the nematode variables significantly differed from controls unless small mammals or small mammals and invertebrates were excluded in addition to large and medium-sized mammals.. Pathways linking aboveground exclusions to nematode feeding types In the short-grass vegetation progressive mammal and invertebrate exclusions had increasingly strong effects on vegetation characteristics (Fig. 4a, Fig 5a, see Supplementary material Appendix 3, Table A2, Fig. A2). As more animal groups were excluded, shoot biomass and neutral detergent fiber content increased, and root biomass, shoot C and N content, and plant species richness decreased (Fig. 4a, exclusion treatment effect on PCA axis 1; F4,37: 14.07, P: <0.0001). The increase in shoot fiber content and decrease in N content with progressive exclusions indicate a decrease in the quality of shoots. These. ‘This article is protected by copyright. All rights reserved.’.

(7) Author Manuscript. changes in vegetation characteristics significantly decreased omni-carnivorous nematode abundance, but significantly increased bacterivorous and fungivorous nematode abundance. These increases in bacterivore and fungivore abundance in turn stimulated omni-carnivore abundance (Fig. 5a, see Supplementary material Appendix 4, Table A5). In the tall-grass vegetation, we observed that some effects of progressive animal exclusions on vegetation characteristics were the same as in the short-grass vegetation, i.e. increases in shoot biomass and decreases in root biomass, plant species richness, and shoot C content (Fig. 4b, exclusion treatment effect on PCA axis 1; F4,36: 10.81, P: <0.0001, Fig. 5b). However, in the tall-grass vegetation, shoot neutral detergent fiber content decreased, and shoot N content increased, implying that litter quality increased when more animals were excluded (Fig. 4b, Fig. A2). Changes in vegetation characteristics had significantly positive cascading effects on plant-feeding nematode abundance in this vegetation type (Appendix 4, Table A6). However, there were no significant plant-mediated indirect effects of each of the exclosure treatments on bacterivore abundance (Table A6). Only the plant-mediated effect on plantfeeding nematodes of excluding all mammals and invertebrates was strong enough to elicit a significant indirect, bottom-up effect on omni-carnivores (Table A6). Thus, summarized, even though progressive animal exclusions triggered similarly strong changes in vegetation characteristics in both vegetation types, some vegetation characteristics in the short-grass vegetation changed in the same, and others in the opposite direction as in the tall-grass vegetation. These vegetation changes affected nematode feeding types in each vegetation type differently. The first axes of our PCAs revealed considerable variation within exclosure setups in all soil nutrients in the short-grass vegetation, and in the nutrients of the organic soil layer in the tall-grass vegetation (Fig. 4c,d). However, variation in soil nutrients was not related to exclusion treatments (Fig. 4c,d; exclusion treatment effect on short-grass PCA axis 1: F4,38: 0.87, P: 0.49, on tall-grass PCA axis 1: F4,40: 1.76, P: 0.16, Appendix 3, Table A2, Fig. A3). Yet, independently of exclusion treatments, increased soil nutrients stimulated plant-feeding nematode abundance in the short-grass vegetation (Fig. 5a). In contrast, in the tall-grass vegetation none of the nematode feeding types showed any significant links with soil nutrients (Fig. 5b). There was a significant positive link between ‘Deer–marmot–mouse’ exclosures and soil microbial biomass in the short-grass vegetation. Conversely, in the tall-grass vegetation this link between ‘Deer–marmot–mouse’ exclosures and soil microbial biomass was significantly negative. However, SEM revealed that soil microbial biomass was negatively associated with plant-feeding nematode abundance in both vegetation types, although it is difficult to find a mechanistic explanation for this association (Fig. 5a,b). Thus, via higher microbial biomass levels, exclusion of all mammals was related to lower plantfeeding nematode abundance in the short-grass vegetation (Table A5). In the tall-grass vegetation, exclusion of all mammals was indirectly linked to higher plant-feeding nematode abundance via lower microbial biomass levels (Table A6). There was no significant indirect effect of mammal exclusion on bacterivores via microbial biomass in the tall-grass vegetation (Table A6). In the short-grass vegetation, apart from excluding ungulates, further exclusions significantly affected the soil environment (Fig. 5a); soil temperature decreased, whereas soil moisture and bulk density both increased (Fig. 4e; exclusion treatment effect on PCA axis 1: F4,40: 6.92, P: 0.0002). However, pH itself was not directly affected by exclusion treatments, suggesting its correlation with PCA axis 1 was unrelated to exclusion treatments (Appendix 3, Table A2). The links between soil environment and nematodes, though significant, were rather weak in the short-grass vegetation (Fig. 5a). Not all pathways from exclusion treatments via soil environment to nematodes were significant (Table A5). All exclusion treatments affected the soil environment in the tall-grass vegetation (Fig. 5b). With progressive exclusions, a similar decrease in temperature and trend of increase in soil moisture as in the short-grass vegetation was observed (Fig. 4f; exclusion treatment effect on PCA axis 1: F4,40: 5.66, P: 0.0011). However, these changes in soil environment did not have any cascading effects on nematodes in the tallgrass vegetation. Apart from the indirect effects of our exclusion treatments on nematodes via soil and vegetation properties, several significant direct links between exclusions and nematode feeding type abundances were observed (Fig. 5a,b). They were particularly strong and numerous in the short-grass vegetation, implying that additional mechanisms may have operated, which were not included in our analysis. In the short-grass vegetation all exclusion treatments had such remaining direct effects on omni-carnivore abundance, whereas in the tall-grass vegetation, changes in omni-carnivore abundance could be explained entirely by changes in fungivorous and plant-feeding nematode abundance (Fig. 5a,b). Discussion. Exclusion effects on soil nematode abundance, diversity and evenness Aboveground animal exclusions strongly altered the nematode component of the soil food web with strongest effects occurring when small mammals or invertebrates were excluded in addition to excluding larger animals. In both vegetation types, exclusions caused a shift toward higher total nematode abundance, lower Shannon diversity, and lower evenness. These were not short-term disturbance responses, as the exclosures had been in place for five growing seasons before we sampled nematodes.. ‘This article is protected by copyright. All rights reserved.’.

(8) Author Manuscript. Chen et al. (2013) proposed that a high grazing intensity tends to decrease soil nematode diversity (e.g. Chen et al. 2013), while grazing at lower intensity had no (e.g. Veen et al. 2010) or positive effects (e.g. Stark et al. 2000) in other study systems. In our relatively lightly grazed subalpine meadow systems, aboveground herbivores, especially smaller ones, increased nematode diversity. Furthermore, nematode diversity was highest when invertebrates were present, which has also been found when testing effects of aphids on soil nematode diversity in microcosms (Wardle et al. 2005).. Exclusion effects on soil nematode feeding type abundances Soil nematode feeding type abundances showed quite comparable responses to experimental exclusions of aboveground mammals and invertebrates in the two vegetation types, in spite of these vegetation types being different in grazing history, productivity, and current grazing pressure. In both vegetation types exclusions of vertebrates and invertebrates enhanced the abundance of lower trophic level nematodes. According to structural equation modeling, these increased nematode abundances were mostly driven by changed vegetation characteristics. Whereas none of the herbivores in our study were domestic, our results were in line with the findings of Veen et al. (2010) who excluded domestic ungulates. Similarly, small mammals can have a far-reaching influence on vegetation properties, which is increasingly recognized (Howe 2006). We show that influences of small mammals extend to the soil food web as well. Moreover, we show that aboveground invertebrates can have strong impacts on the soil fauna by altering the vegetation. Positive and negative plant-mediated effects of aboveground invertebrates on herbivorous soil fauna have been shown before (Kaplan et al. 2008, Vandegehuchte et al. 2010, Wondafrash et al. 2013). Interestingly, our data also suggest that aboveground invertebrates can positively influence soil fauna in the detrital part of the food web, such as bacterivores and fungivores (cf. Wardle et al. 2004). Although aboveground exclusions led to plant-mediated increases in the abundance of nematodes at lower trophic levels in both vegetation types, underlying mechanisms were different, as exclusion-induced changes in the quantity and quality of plant resources differed between short- and tallgrass vegetation. Five years of aboveground exclusions have led to a stronger increase in shoot biomass in the short- than in the tall-grass vegetation, so that biomass in both vegetation types converged when all aboveground animals were excluded. However, after decades of different ungulate grazing pressure, short- and tall-grass vegetation developed communities composed of different plant species (Schütz et al. 2006). This could explain why several indicators of plant quality decreased in the short-, but increased in the tall-grass vegetation when more types of aboveground animals were excluded. In the short-grass vegetation, strong increases in shoot biomass, and thus litter quantity, probably more than compensated for the decrease in litter quality, still resulting in a stimulation of bacterivorous and fungivorous nematodes. In the tall-grass vegetation, increases in plant quantity were more moderate, but were likely reinforced by the concurrent increase in root and litter quality in this vegetation type, leading to a similar positive effect on plant-feeding nematodes and a positive trend for bacterivorous nematodes. Higher levels of microbial biomass were associated with lower nematode abundances in both vegetation types, suggesting that the relationship between microbes and nematodes might operate via different, more indirect mechanisms than via direct feeding relationships. Exclusions of aboveground vertebrates and invertebrates caused changes in soil environment that were comparable for both vegetation types. However, these changes only appeared to significantly affect nematodes in the shortgrass vegetation. Omni-carnivorous nematodes may have responded positively to the altered soil environment, because of increased soil moisture. All soil nematodes need water films or water-filled pore spaces to move around (Freckman et al. 1987, Yeates et al. 2002), but omni-carnivorous nematodes are large-bodied, and thus need larger volumes of soil water (Yeates et al. 2002). Bacterivores are, in contrast, among the smallest nematodes, able to access pockets of soil water even in drier soils (Freckman et al. 1987, Yeates et al. 2002), and may have been less limited by soil moisture. Exclusion-driven changes in soil environment negatively affected bacterivorous nematodes in this vegetation type. Bacterivores may have suffered more from exclusion-induced decreases in soil temperature in the relatively cold subalpine habitat. Bacterivorous nematodes often have narrow temperature ranges (Anderson and Coleman, 1982), and have been shown to respond negatively to cooling in the field (Bakonyi and Nagy, 2000).. Interactions between lower and higher trophic levels of nematodes There is a growing body of literature on the prevailing role of bottom-up processes in soil food webs (Rantalainen et al. 2004, Shao et al. 2015, Van der Stoel et al. 2006, Wardle 2002). Exclusion-driven changes in the abundance of lower trophic level nematodes exerted bottom-up effects on omnicarnivorous nematodes in both vegetation types. Sheep grazing in an Inner Mongolian grassland initiated bottom-up interaction chains that affected omni-carnivorous soil fauna (Chen et al. 2013) in the same way as in our study. However, in the short-grass vegetation we also found direct positive effects of the exclusion treatments on omni-carnivorous nematode abundance, as well as a strong negative link through exclusion-induced vegetation changes. These links suggest that a component is missing from the pathways we analyzed. Omni-carnivorous nematodes not only feed on other nematodes but also on protozoa, rotifers and enchytraeids (Yeates et al. 1993, Yeates and Wardle 1996). The decrease in litter. ‘This article is protected by copyright. All rights reserved.’.

(9) Author Manuscript. quality resulting from aboveground exclusions in the short-grass vegetation may have negatively affected belowground prey organisms other than nematodes, which may in turn have inhibited omni-carnivorous nematodes. Conversely, in the tall-grass vegetation significant changes in omni-carnivore abundance appeared to be exclusively mediated by altered abundance of fungivorous and/or plant-feeding nematodes, indicating that in this vegetation type, omni-carnivores were more tightly linked to lower trophic level nematodes as food source than in the short-grass vegetation.. Conclusions Our results demonstrate that both large and small aboveground herbivores can have profound impacts on the soil food web. In both vegetation types, which differed in grazing intensity and productivity, aboveground herbivore exclusions enhanced the abundance of all nematode feeding types except plant feeders, but underlying mechanisms differed markedly. Future studies may further investigate patterns and mechanisms of aboveground-belowground interactions across grazed systems in order to enhance understanding of how gains and losses of aboveground biodiversity influence soil food web composition and ecosystem functioning. Acknowledgements We would like to thank Roman Alther, Bieke Boden, Frederic de Schaetzen, Monika Carol Resch, Charlotte Schaller and Silvan Stöckli for help in the field, Deborah Page-Dumroese and Matt Busse for soil analyses, and the Swiss National Park for permission to work in the park and logistic support. This study was funded by the Swiss National Science Foundation, SNF grant-no 31003A_122009/1 and SNF grant-no 31003A_140939/1.. ‘This article is protected by copyright. All rights reserved.’.

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(12) Author Manuscript. Table Legend Table 1. Effects of vegetation type, exclusion treatment and their interaction on soil nematode community variables. Df: degrees of freedom (numerator, denominator), ind.: individuals. Nematode diversity: Shannon diversity index. Abundance of plant feeders, omni-carnivores, and total nematodes: square root transformed. Abundance of fungivores: fourth root transformed. Plant parasite index: squared. Variable Vegetation Exclusion Vegetation × Exclusion df F p df F p df F p Plant feeders (ind. 100 g-1 dry soil) 1,11.3 1.84 0.2018 4,63.2 1.46 0.2248 4,63.2 1.06 0.3853 -1 Fungivores (ind. 100 g dry soil) 1,11.3 0.05 0.8195 4,63.2 5.66 0.0006 4,63.2 0.77 0.5511 Bacterivores (ind. 100 g-1 dry soil) 1,11.4 1.02 0.3344 4,63.1 4.14 0.0049 4,63.1 1.30 0.2783 Omni-carnivores (ind. 100 g-1 dry soil) 1,12.4 0.04 0.8525 4,63.3 2.52 0.0499 4,63.3 0.28 0.8901 Total nematodes (ind. 100 g-1 dry soil) 1,11.4 0.15 0.7032 4,63.1 5.81 0.0005 4,63.1 0.92 0.4599 Maturity index 1,74.4 0.03 0.8597 4,74.4 1.65 0.1699 4,74.4 1.00 0.4150 Plant parasite index 1,8.98 0.49 0.5020 4,62.9 1.54 0.2003 4,62.9 0.61 0.6565 Nematode taxon richness 1,74.4 3.34 0.0716 4,74.4 1.55 0.1961 4,74.4 1.90 0.1202 Nematode diversity 1,11 5.04 0.0464 4,63.4 3.31 0.0158 4,63.4 1.83 0.1350 Nematode evenness 1,10.9 4.58 0.0560 4,63.4 3.98 0.0061 4,63.4 1.86 0.1283. ‘This article is protected by copyright. All rights reserved.’.

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