OIKOS 93: 429–438. Copenhagen 2001 Allochthonous aquatic insects increase predation and decrease herbivory in river shore food webs Joh R. Henschel, Dieter Mahsberg and Helmut Stumpf Henschel, J. R., Mahsberg, D. and Stumpf, H. 2001. Allochthonous aquatic insects increase predation and decrease herbivory in river shore food webs. – Oikos 93: 429–438. Rivers produce an abundance of aquatic insects that traverse land, where they can have bottom-up effects on predators, who, in turn, can have top-down effects on terrestrial herbivores. This effect can cascade down to plants. These trophic relationships were demonstrated in a field of stinging nettles, Urtica dioica, along a river in Germany. At the shore compared to similar microhabitats 30 – 60 m away the abundance and biomass of: midges were highest, spiders were also highest, while herbivorous leafhoppers were lowest. At the shore, nettle plants were less damaged by herbivores and thus had less regrowth. Spiders regularly captured both aquatic midges as well as terrestrial leafhoppers and they captured more individuals of both groups at the shore than further away. Midges supported high densities of shore spiders. This was inferred from correlation of distribution and diet in the absence of other environmental gradients. Removal of spiders from experimental plots caused leafhoppers to increase at the shore, causing more plant damage. These effects were not evident at spider-removal sites away from the shore. This demonstrated that spiders depressed leafhoppers and decreased herbivory on plants only at the shore. It is concluded that aquatic insects had a bottom-up effect on spiders and that this subsidy facilitated a top-down effect that cascaded from spiders to leafhoppers to plants. Similar effects would explain the distribution of arthropods along many rivers. Allochthony connects river food webs with shore food webs, making both components essential for each other. J. R. Henschel, Desert Research Foundation of Namibia, Gobabeb, P.O. Box 20232, Windhoek, Namibia ( [email protected]). – D. Mahsberg and H. Stumpf, TheodorBo6eri-Institut für Biowissenschaften der Uni6ersität, Lehrstuhl für Tierökologie und Tropenbiologie, Biozentrum: Am Hubland, Uni6. Würzburg, D-97074 Würzburg, Germany. Movements of resources from one habitat to another (respectively, donor and recipient) can affect the food web in the recipient habitat by enriching some consumers. Such allochthonous resources, also termed subsidy (Polis and Hurd 1995), are typically subject to donor control. Subsidized consumers in the recipient habitat are consequently less dependent on in situ resources, but can exert higher effect strength (consumer pressure) on these resources (Jeffries 1988, Holt and Lawton 1993, Polis et al. 1997). The subsidy hypothesis was proposed by Polis and Hurd (1995) and Bustamante et al. (1995) to explain why some animals maintain extraordinarily dense popula- tions even though their in situ resource base is apparently poor (Readshaw 1973, Lawton et al. 1975, Spiller 1992). This hypothesis predicts that if the subsidized consumers are polyphagous, they can depress the in situ resources. Rivers are places of origin of many aquatic animals that move across land. For example, imagoes of aquatic insects such as midges, caddis flies and mayflies, sometimes occur in high densities in terrestrial environments. Terrestrial predators, such as spiders, may capitalize on such booms. For such predators, aquatic insects represent a subsidy. This paper focuses on whether and how subsidized shoreline predators affect the food web. Accepted 2 January 2001 Copyright © OIKOS 2001 ISSN 0030-1299 Printed in Ireland – all rights reserved OIKOS 93:3 (2001) 429 In this paper, we elucidate the hypothesis (Henschel et al. 1996a) that abundant flying insects of aquatic origin (hereafter referred to as aquatic insects) subsidize arthropod predators living on river shores, thus increasing the capacity of these polyphagous predators to depress terrestrial prey populations. Furthermore, it is suggested that, as a result of this depression, shore plants should be less damaged by herbivorous insects. First we compared arthropod populations at various distances from a river in southern Germany and then we experimentally tested the strongest causal links. To reduce the number of variables affecting community composition and to facilitate comparison, we focused on insects and spiders occupying greater stinging nettles, Urtica dioica L. (Urticaceae). Nettles often dominate shore plant communities in Europe and harbor characteristic fauna (Richards 1948, Davis 1983, 1989, Sommaggio et al. 1995, Henschel et al. 1996a, Zabel and Tscharntke 1998). Stinging nettles respond to herbivory by increasing defense and regrowth, i.e. they grow new leaves and side branches that often bear higher densities of stinging trichomes (Pullin 1987, Van der Meijden et al. 1988, Pullin and Gilbert 1989, Mutikainen et al. 1994). Degree of regrowth is correlated with herbivory and it integrates effects of herbivory on plant performance. Thus, by examining relative degrees of regrowth, we could estimate relative degrees of herbivory. From spatial variation of aquatic insects, arthropod predators, terrestrial insects and nettle damage, we could detect correlation, but the strength of causal relationships required experimental confirmation. A direct test is to reduce the density of aquatic insects at the shore, but it was impermissible in the water reserve and impractical to remove aquatic insects from a sufficient length of shore for the entire spring and summer seasons. Nevertheless, the same effect was attained by comparing the edge of a nettle field facing the shore with the edge of the same nettle field some distance away from the shore in otherwise similar microclimatic conditions. The above-ground development of riparian nettles undergoes a complete cycle every year, beginning with almost bare ground and no resident herbivores and predators in spring each year. Differences in aquatic insect abundance at different edges of a nettle field with similar microclimatic conditions for the duration of the growth season thus represent a natural experiment as effective as a manipulative experiment. Furthermore, we conducted a manipulative experiment to test causal relationships of predators to terrestrial prey at places differing in the abundance of aquatic insects. Physical removal of predators is a common method for testing predation effects (e.g., Clarke and Grant 1968, Eickwort 1977, Henschel 1986, Spiller and Schoener 1988, 1990, 1994, Dial and Roughgarden 1995, Holland and Thomas 1997, Lang et al. 1999). We removed all polyphagous arthropod 430 predators from sites at the river and some distance away. Response variables were biomass of predators and herbivores, and plant regrowth. We predicted that at places where aquatic insects were most abundant, removal of predators results in increases in terrestrial insects. By contrast, we predicted that at places where aquatic insects were not abundant, removal of predators would have little or no effect on terrestrial insects. In this way, the predator-removal experiment could also reveal whether aquatic insects affected the relationship of predators on terrestrial prey. In other words, while treatment served to elucidate the effect of predation, repetition of the experiment at different distances from the shore revealed the effect of aquatic insects on predation pressure for terrestrial insects. Methods Study area Fieldwork was conducted during 1994 and 1995 in the Würzburg riparian forest (Wasserschutzgebie Würzburg Mergentheimerstraße: 49°37%N; 09°57%E), an 18-ha area along the western shore of the Main River within the town of Würzburg, Bavaria, Germany. The 70-m-wide river has an average discharge during low water in the order of 100 m3 s − 1. The study area on the shore was a strip of riparian forest, 900 m long and 60 m wide, comprising silver willow Salix alba, black poplar Populus nigra, and black elderberry Sambucus nigra, and lay 1–3 m above the river level. Tree canopies covered about half of the forest floor, which was dominated by a near-continuous patch of stinging nettles, Urtica dioica. Nettles were selected as standard substrate for investigating terrestrial arthropod assemblages. On the landward side, the edge of the nettle field bordered a meadow 60 m from the river. Sample sites Sample sites were selected so as to minimize variability of sun, shade, and stand size between samples of a set. Three sample sites were demarcated in a line at distances of 1, 30 and 60 m from the river, designated as shore, midfield and meadow-edge sites. Nine such sets of sites traversed the forest perpendicular to the river, giving 27 sample sites. Habitat condition In order to determine whether there were environmental gradients and to assess plant damage, the following parameters of microclimate, physical characteristics, and nettle structure were measured at each study plot on the day/night preceding sampling: temperature (°C), relative humidity (%), shelter index (number of halfquadrants of sky covered), light intensity at 14.00 (klx), plant cover (%), plot volume (m3), nettle density (m − 2), OIKOS 93:3 (2001) proportion of other herbs (%), distance of the plot from a willow tree trunk (m), mean nettle height (m), maximum nettle height (m), number of primary leaves of six nettles (nettle − 1), number of regrowth leaves of six nettles (nettle − 1), and number of regrowth branches of six nettles (nettle − 1). Nettle plant regrowth was determined by counting small new leaves and branches that emerged along the stem well below the apical bud, where primary leaves arise. No microclimatic gradient was detectable in the relatively narrow study area that was only 1–3 m above the river level. At night, relative humidity was typically 100% throughout the area and air temperature differed B1oC between sites. By day (mid-afternoon), humidity and temperature also did not differ significantly between the shore and 30 m away (relative humidity: t =0.81, df=34, p\0.05; temperature: t=1.00, df= 34, p\0.05). In a multiple regression, nettle density contributed significantly to the regression with arthropod abundance (r 2 =0.59, p =0.005) and biomass (r 2 = 0.60, p= 0.007) and it was correlated with all but one environmental variable (r= 0.44–0.81), the exception being proportion of other herbs. Although nettle density varied between sites (range=30–101 nettles m − 2, CV =27.6%), this variable was normally distributed (Kolmogorov-Smirnov D=0.104, pB 0.05) and did not differ between shore, 30 m and 60 m sites (ANOVA with season as repeated measure: F=0.48, df= 72, p \0.50). trapping rate on 14-d traps minus the trapping rate by night. Arthropod distribution Predator reduction All spiders, opilionids and predacious insects (ca 70 species) seen at night in the herb layer of 18 treatment plots were removed. Nettles were searched from top to bottom, but ground predators were ignored. Predators were captured with a small electric D-vac (Henschel 1995) that left non-target animals undisturbed. Removed predators were preserved in 75% alcohol for identification. Each plot was searched for 18.99 SD 9.9 min (range 10–81 min), during which time 299SD 33 arthropods were removed (0–175). Spiders represented 78.2% of 4931 predators removed. No predators were removed from control plots, but an equal length of time was spent at these plots (by a second person) as at the treatment plots. Arthropods were sampled with sticky traps and by beating nettles. One set of these samples was taken at each of 27 sample sites during 18–30 June 1994, again during 9 – 16 August 1994, 11–13 October 1994, and 22–24 May 1995, giving a total of 108 sets of samples. Beating samples were collected at night (21.00–02.00) when weather was relatively stable and when most web spiders had their period of maximum foraging activity. An umbrella (86 cm diameter) was placed into a 1-m2 area of nettles and opened onto the ground. Nettles (n=20 –60) were vigorously beaten over this tray for 1 min with a stick. Arthropods were captured with a modified D-vac (Henschel 1995) and preserved in 75% ethanol. Sticky traps were made of clear plastic plates of 10 ×10 cm coated on both sides with insect glue. These were placed vertical, with the base 10 cm above nettles. The sampling period was 14 d, beginning one week before taking beating samples. Another set of 169 sticky traps was deployed in a similar fashion for several hours (mean 9SD 4.491.0 h) during 27 nights. While the night traps monitored pterous aquatic insects at night, their activity by day was estimated from the OIKOS 93:3 (2001) Predator removal Experimental protocol Predators were removed during 74 fieldwork nights during the period 29 May– 10 August 1995 and abundance of arthropods was determined on the nights of 16–19 August 1995. Plots consisted of strips of nettles of 1× 2 m that were oriented parallel to the shoreline and were surrounded by 1-m-wide paths that were kept clear of vegetation. String fencing prevented nettles from encroaching into the path and new growth in the path was cut weekly to maintain the gap as a hurdle for movements of terrestrial arthropods, while not hindering movements of flying aquatic insects. However, with only 1 m distance separating the experimental plots from the habitat pool (a large patch occupying several hectares), plots did not become small habitat patches, which could have changed animal community composition (Davis 1975, Zabel and Tscharntke 1998). Thirtysix plots were situated in pairs, 3–5 m apart, \ 10 m between pairs. One plot of a pair was designated initially (by coin flipping) for predator removal. Fauna was not manipulated in control plots. Each pair of shore plots was matched with a pair of midfield plots (30 m away from the river) with similar microclimatic conditions. The experimental design thus comprised nine replicate sets of four plots: removal and control at shore, and removal and control away from shore. Final collection At the end of the experiment, predator removal efficiency was tested by first removing predators as usual, before collecting by beating (as above, pooled double samples to collect off 2 m2). Dislodged material was poured into plastic bags, preserved with 75% ethanol, and arthropods (454–2681/sample) were separated. Treatment removed 61% of spider biomass and 48% of other predators. 431 Predator diet Feeding arthropod predators were observed for 323 h using an Eschenbach binoscope with a 0.4-m focal distance. Only actual feeding was recorded, and insects trapped in spider webs, but not fed upon were ignored. Whenever possible without interfering with the study, feeding predators and their prey were collected for close examination, especially to improve identification. Prey capture rates by spiders were estimated by comparing records of feeding with non-feeding spiders. Based on observations and literature, all spiders collected in the current study were categorized by species according to their time of foraging activity as crepuscular/nocturnal (ca 18.00 –06.00), diurnal or diel. 82.0% of the individuals were crepuscular/nocturnal, 16.7% diel, and only 1.3% were diurnal. This indicated that predation was more intense at night than by day and supports the nocturnal emphasis of the current study. Analyses Analyses of samples A total of 102 095 arthropods with a body length ] 0.6 mm were collected and preserved in the distribution, diet, and experimental parts of the study. Sampling and the study questions did not focus on smaller arthropods, nor on Acari and Pulmonata and these were not analyzed. The following groups were ignored from the beating samples, but were analyzed for the sticky traps: Diptera: Nematocera and Brachycera, Trichoptera, Hymenoptera other than Formicidae, Lepidoptera imagoes. Collected arthropods were later examined and measured (90.01 mm) by microscope. Identification was to species or to the highest possible taxonomic category. Total length was measured excluding terminal projections or appendages. From this, biomass (dry mass) was calculated using equations of Rogers et al. (1976) for insects (mass= 0.0305× length2.62), and of Henschel et al. (1996b) for spiders (mass = 0.076×length2.245) and opilionids (mass= 0.058×length2.559). Pterous insects with aquatic larvae (referred to as aquatic insects) had a high diversity of 51 species of Nematocera, Trichoptera and Ephemeroptera, numerically dominated by midges, Chironomidae, Chironomus spp. and Rheotanytarsus spp. (W.-D. Schmidt 1994 unpubl. report, Government of Lower Frankonia). In our analysis, we grouped the most abundant chironomids (95.9% of the benthic Diptera; Schmidt op cit.) with several other less abundant families of aquatic Nematocera (mainly Culicidae, Simuliidae, Ephydridae), and for convenience refer to them collectively as midges (Chironomidae), with the understanding that some 4% are not chironomids. The remaining major groups in our study were 158 taxonomic categories of 432 terrestrial herbivorous insects, termed herbivores (Collembola, Coleoptera, Heteroptera, Homoptera, Hymenoptera: Formicidae, Lepidoptera larvae, and Psochoptera), 55 taxa of predatory insects (Coleoptera, Heteroptera, Pseudoscorpionida, Dermaptera, Odonata, Ensifera, Mecoptera, Neuroptera, and Thysanoptera), 5 harvestmen (Opiliones), and 72 spiders (Araneae). Spiders amounted to 47.5% of all predators and comprised wandering spiders (Clubionidae, Lycosidae, Philodromidae, Salticidae, Thomisidae, the linyphiid Gongylidium rufipes), and web spiders (Araneidae, Dictynidae, Mimetidae, Tetragnathidae, Theridiidae, other Linyphiidae), with Tetragnathidae accounting for 43.8% of spider abundance. Of the other predators, only the opilionids, representing nearly 6.0% of all predators, were important polyphagous predators, while the remainder were either uncommon or stenophagous (e.g. 36.0% were Anthocoridae, pirate bugs, that are specialist predators of homopteran eggs and nymphs; Anderson 1962), and none appeared to have a key role. Data analyses Abundance and biomass were standardized against nettle density and transformed with log(x+ 1). Means are given 9 SD and significance levels were pB 0.05 unless stated otherwise. Differences in distribution of arthropods (not the experiment) were tested with ANOVA with season as the repeated measure, using the Tukey honest significant difference test to derive probabilities (Zar 1996). The experiments were designed pair-wise (treatment vs control, shore vs away from shore), and Wilcoxon signed rank test was applied. Results Distribution of arthropods Aquatic insects Most of the aquatic insects (86.4%) were Nematocera (of which 95% were Chironomidae) and these were 2.8 times as abundant at night than by day. Night traps caught 0.319 0.41 midges dm − 2 h − 1, significantly more at the shore than at 30 m (t =2.00, df= 167, p B0.05). The biomass of aquatic insects on 14-d traps differed with distance from the shore (F=31.3, df=2, pB 0.001), being 4.5–7.4 times higher at the shore than at 30 m and 60 m (Tukey: pB0.005), with no difference between the latter sites (Tukey: p\0.05) (Table 1, Fig. 1a). Predators In beating samples, predators represented 48.3% of biomass of terrestrial arthropods. Predators comprised spiders (57.3% of biomass), Opiliones (12.1%), with the remainder being Heteroptera, Coleoptera, Thysanoptera OIKOS 93:3 (2001) and Tettigoniidae (30.6%). Biomass of predators other than spiders did not differ significantly with distance from the shore (FB2.25, df=2, p\ 0.05). Spider biomass differed with distance from the shore (F= 6.26, df=2, p=0.0065) (Table 1, Fig. 1b), being 2.5– 6.9 times higher at the shore than at 30 m (Tukey: p= 0.0198). There were no significant differences between 30 m and 60 m (p\0.05). The spiders Tetragnatha montana and Clubiona (C. lutescens and C. phragmites) represented 42.0% and 24.4% of the spider biomass, respectively. T. montana had 2.3 times more biomass at the shore than at 30 m (F\11.9, df= 2, pB 0.005). Likewise, Clubiona had 3.1 times more biomass at the shore (Friedman test: x2 =10.1, df=2, pB0.01). Terrestrial herbi6ores Biomass of herbivorous terrestrial insects was very variable and did not differ significantly with distance (F= 2.35, df =2, p=0.117). Homoptera, which represented 52.8% of biomass, was the only order that differed with distance (F=5.12, df= 2, p=0.014). The difference was due to the dominant leafhoppers, Cicadellidae (F =5.92, df=2, p=0.0081, Fig. 1c) that were less abundant at the shore compared to 30 m (Tukey: p=0.0064), but did not differ between 30 and 60 m (Tukey: p\0.05). Predator-herbi6ore ratios Overall, predators were more abundant at the shore than 30 m away, while herbivores were less abundant. This resulted in an overall predator–herbivore ratio 2.6 times higher at the shore than at 30 m (Table 1). Predator diet Arthropod predators were observed feeding on 779 occasions at the shore and 30 m away (Table 2). Of 128 feeding opilionids, 15.1% consumed aquatic insects, with no significant difference between the shore and 30m (x2 = 1.47, df= 1, p \0.05). Predatory insects ate 37 prey, of which 16% were aquatic, captured by polyphagous Nabidae (Heteroptera). Spiders fed (n = 545) mostly on Homoptera (46.8%) and midges (39.3%). The proportion of spiders observed feeding did not differ with distance (x2 = 3.84, df= 1, p\ 0.05). At the shore, 53.6% of spider prey were of aquatic origin, while this prey category represented only 24.2% at 30 m (x2 = 21.3, df=1, pB0.001). The relative contribution of aquatic insects in the diet did not differ from the relative abundance of aquatic insects in sticky traps (x2 = 0.61, df= 1, p\ 0.05), indicating that spider diet tracked availability. The species recorded feeding most often (47.5% of occasions) was Tetragnatha montana, with 57.8% of its prey at the shore being aquatic compared to 31.5% at 30 m (x2 = 4.91, df=1, pB 0.05). Herbivores represented 36.7% and 54.3% of its diet at the shore and at 30 m, respectively. Aquatic insects formed a lower proportion of the diet of Clubiona spp. at the shore (27.1%) and at 30 m (16.9%). This spider preferred cicadellids (65.3%). Another common spider, Gongylidium rufipes, was never seen feeding on aquatic insects, while 58.8% of its food items were cicadellids. We estimated relative predation rate from diet, abundance of spiders and proportion of spiders feeding. The T. montana population captured 4.4 times as much Table 1. Mean9 SD biomass of arthropods at river shore, midfield (30 m from river) and meadow edge (60 m) sites. Ratio 1 = mean biomass at shore } midfield; Ratio 2= shore } meadow edge. Subscript letters indicate grouping determined with repeated measures ANOVA. Nettle site Ratio Arthropods at shore midfield meadow edge 1 2 Aquatic Insects (mg dm−2 sticky trap) Nematocera Trichoptera Predators (mg m−2 nettles) Spiders T. montana Clubiona Opiliones Insects Herbivores (mg m−2 nettles) Coleoptera Miridae Homoptera Aphididae Psyllidae Cicadellidae Imagoes Nymphs 4.493.1a 2.59 2.7a 1.8 9 2.4a 36.0 9 30.5a 21.9 9 21.1a 9.1 9 7.5a 6.0 97.8a 3.6 9 3.1a 10.59 7.9a 20.4 9 5.8a 5.995.4a 5.59 4.1a 9.09 4.1a 1.49 1.1a 0.99 0.8a 3.1 90.3a 1.79 1.3a 1.59 1.4a 1.0 91.0b 0.9 91.0b 0.08 90.14b 21.8 9 8.4a 10.5 9 8.1b 4.5 92.7b 1.9 92.2b 3.3 92.7a 8.0 94.1a 32.1 9 22.7a 7.7 98.7a 5.7 95.1a 18.7 9 16.5b 5.2 98.7a 1.1 90.8a 9.1 99.1b 3.1 90.8b 6.0 99.9b 0.8 90.7b 0.7 90.7b 0.09 90.21b 19.0 9 7.9a 9.2 97.1b 2.7 92.8b 2.0 91.9b 1.5 91.0a 8.3 99.3a 25.9 911.5a 4.1 92.2a 6.8 95.9a 15.0 9 10.0b 3.3 95.2a 1.0 90.7a 6.1 95.8ab 1.8 90.5a 4.3 96.1b 4.2 2.6 22.9 1.7 2.1 2.0 3.1 1.1 1.3 0.6 0.8 1.0 0.5 0.3 0.8 0.3 0.5 0.2 5.2 3.4 20.8 1.9 2.4 3.3 3.1 2.3 1.3 0.8 1.4 0.8 0.6 0.4 0.9 0.5 0.9 0.3 2.6 2.4 Predator : herbivore ratio OIKOS 93:3 (2001) 1.8 0.7 0.7 433 Terrestrial herbi6ores Homoptera, the dominant terrestrial herbivores (biomass: 51.8%; Table 3), were affected by the treatment at the shore. There, their biomass increased by 26.2% (T=42, pB0.05) in removal plots compared to control plots. This pattern was evident for leafhoppers, particularly the cicadellids Eupteryx spp. (E. urticae, E. cyclops, E. aurata; biomass: 52.2% of Homoptera) (T= 41, p B0.05) (Fig. 2). By contrast, leaf bugs (Miridae) and beetle biomass did not change. At 30 m there were no significant differences in herbivores between treatments (T539, p \0.05). Nettle regrowth Degree of regrowth was 43.0% higher at distant control plots than at the shore (T= 41, pB 0.05). Regrowth was 17.7% higher at removal plots than control at the shore (T =42, pB0.05), but not significantly different at 30 m (Fig. 2). Discussion Fig. 1. Log mean biomass (mg m − 2, n= 9) of (a) midges on sticky traps, (b) spiders in beating samples, and (c) leafhoppers in beating samples collected at Würzburg riparian forest in different months at the river shore (0 m, shaded) compared to 30 m away (clear). aquatic prey and 1.5 times as much terrestrial prey at the shore than did the population at 30 m. For Clubiona these two ratios were 6.4 and 3.7, respectively. This indicated that these spiders exerted a higher predation pressure on herbivores at the shore. Predator removal Predators Removal treatment reduced spider populations (Wilcoxon test on nine pairs at shore and nine pairs at 30 m: T\39, pB0.05; Table 3). In ten weeks, 3857 spiders were removed, causing a decline in biomass of T. montana by 35–61% and of other spiders by 26–28% (Fig. 2). Many small G. rufipes were overlooked, while small pirate bugs (Anthocoridae) increased at shore removal sites (T\40, pB 0.05). Removal effort did not affect other predatory insects nor mobile harvestmen (T539, p \0.05). 434 Several trophic levels were correlated along the Main River in Würzburg. At the shore, midges of aquatic origin were most abundant and so were polyphagous spiders. Abundant aquatic insects appeared to be the reason why shore spiders were so abundant. This conclusion is based on the correlation of the distribution of these taxa as well as the declining representation of aquatic insects in spider diet with distance from the shore. This is furthermore reinforced by the results of the natural situation identical to an experiment: comparison of the edge of the nettle field facing the shore and a similar edge facing away from the shore. There was no gradient of microclimate and nettle characteristics across the low-lying study area that would have influenced these results. We conclude that allochthonous aquatic insects caused a bottom-up effect on spiders at the shore and that this effect declined with distance from the shore. Consistent with our result, Henschel et al. (1996a) found that the pattern of higher abundance of spiders in nettles along river shores and lower abundance at similar sites away from shores is widespread in southern Germany. Indeed, spiders are conspicuously abundant in many habitats along river shores elsewhere (Jackson and Fisher 1986, Jadranka 1992, Malt 1995, Williams et al. 1995, Power et al. 1998) and ocean coasts (e.g., Schoener and Toft 1983, Spiller 1986, Polis and Hurd 1995, 1996a, b, Schoener and Spiller 1995). This is because of their ability to concentrate at resource-rich places (Riechert 1976, Greenstone 1978, Kronk and Riechert 1979, Gillespie 1981, Janetos 1982, Morse and Fritz 1982). At the Würzburg shore compared to some distance away, we found that the herbivorous leafhopper popuOIKOS 93:3 (2001) lation was reduced. Diet indicated that there was a causal link between abundant, polyphagous shore spiders and reduced leafhoppers, with predation rate of spiders on leafhoppers being much higher at the shore. The manipulative experiment confirmed this causal link. It also demonstrated that spiders depressed leafhoppers only at shore sites and did not significantly affect them away from the shore. This was a further indication that shore spider abundance was related to bottom-up effects other than terrestrial herbivores, namely abundant midges. It is well established that polyphagous spiders can depress insect prey populations in certain circumstances (e.g., Kajak 1965, 1978, Riechert and Lockley 1984, Nyffeler and Benz 1987, Riechert and Bishop 1990, Wise 1993). Especially in agroecosystems, where Homoptera are pests, it has been noted that spiders can significantly depress aphids and leafhoppers (e.g., Kiritani et al. 1972, Edwards et al. 1979, Chiverton 1986, Oraze and Grigarick 1989, Holland and Thomas 1997, Lang et al. 1999). In a comparison of spider predation in a maize field with fallow land, Lang (1998) found that leafhopper populations were depressed only in the maize, where there were high numbers of flies and aphids. This appears to be a situation analogous to our river shore, where alternative prey enabled the spiders to increase predation. In addition to polyphagy, the ability of spiders to concentrate at prey-rich sites, to adjust rapidly to changes in prey availability with a functional response, and to change their reproductive rate to give a numerical response (Wise 1979, 1993) facilitate their ability to depress resident prey populations. In our study, the reduction of leafhoppers at the shore also reduced damage to nettles. Herbivores are known to have top-down effects on nettles (Fraser 1998) and to increase regrowth (Van der Meijden et al. 1988, Pullin and Gilbert 1989, Mutikainen et al. 1994). We found that higher regrowth occurred in those shore plots where spiders were removed and leafhoppers increased. By comparison, nettles in control plots at the shore had less regrowth, reflecting less damage by herbivores. Damage increased away from the shore where leafhoppers were more abundant. Other nettle characteristics did not differ consistently with distance from the shore. We conclude that the high abundance of midges enabled an increase in spider abundance at the shore, which caused an apparent top-down trophic cascade that affected leafhoppers and, ultimately, nettles (Fig. 2). For practical reasons, it was possible for us to demonstrate this trophic cascade at the species-level (or assemblage). We suggest that the trophic cascade may extend to the community-level (according to the distinction made by Polis 1999, Polis et al. 2000), given that there are indications that both aquatic insects as well as generalist terrestrial predators tend to be abundant along shores in general. Although the 70-m-wide Main River is a fairly substantial water body, aquatic insects and their trophic effects declined surprisingly quickly in only a few tens of meters from the shore, although the habitat did not change. Intensive management and use of the Main River as well as the near-lack of shallow mudflats along its shore embankments will have reduced the productivity of this river from its pristine state (however, the condition of the Main River is believed to be improving, Anon. 1991). This situation may not allow us to comment on the relationship, if any, of the size of the river to the extent of its influence over land, except to note that the relative rate of change in the assemblage Table 2. Percent diet of arthropod predators at the shore and 30 m or further away. Predator Spiders Prey shore Aquatic insects Nematocera Trichoptera Terrestrial herbivores Cicadellidae Psyllidae Aphididae Heteroptera Coleoptera Other Brachycera Hymenoptera Araneae Opiliones Nettle seeds Other Identified Unidentified OIKOS 93:3 (2001) Harvestmen \30 m shore Other \ 30 m shore \30 m 51.0 2.6 23.8 0.4 16.9 2.6 7.9 2.6 28.6 0.0 0.0 0.0 19.0 6.9 11.4 5.2 1.3 34.0 15.6 8.2 5.3 4.1 3.9 1.3 28.6 2.6 1.3 5.3 2.6 18.4 2.6 0.0 14.3 4.8 28.6 14.3 0.0 0.0 0.0 83.3 8.3 0.0 1.0 0.7 0.3 0.0 0.0 0.7 5.7 0.8 0.8 0.0 0.0 1.2 0.0 0.0 0.0 6.5 32.5 3.9 10.5 2.6 0.0 5.3 26.3 15.8 0.0 0.0 0.0 4.8 0.0 4.8 0.0 0.0 0.0 0.0 0.0 8.3 77 10 38 3 306 27 244 37 21 3 12 1 435 Table 3. Total abundance (biomass) of predators removed during week 1–10 of the experiment and predators and herbivores collected during week 11 in nine plots of each treatment. Shore 30 m Control n Predators removed in week 1–10 T. montana Other spiders Harvestmen Pirate bugs Other predatory insects Predators collected in week 11 T. montana Other spiders Harvestmen Pirate bugs Other predatory insects Herbivores collected in week 11 Cicadellidae Other Homoptera Leaf bugs Beetles Removal mg n mg 1680 578 474 2 146 (1774) (576) (1080) (1) (2338) n Removal mg mg n 877 722 286 0 166 (630) (601) (622) (0) (2571) 710 1052 178 1973 100 (799) (247) (749) (370) (385) 487 1129 166 2267 126 (515) (178) (418) (500) (375) 608 1063 99 2013 169 (647) (592) (262) (349) (429) 277 887 68 2147 248 (255) (438) (167) (343) (671) 3845 395 351 322 (1363) (226) (424) (95) 4596 675 366 364 (1681) (254) (380) (90) 3992 536 460 520 (1522) (284) (420) (125) 3790 720 465 597 (1368) (445) (487) (133) with distance from the Main River did not appear to be very different in scale from that found along streams (B10 m wide) in southern Germany (Henschel et al. 1996a). Individual aquatic insects emerge from water and return to it, sometimes crossing between different water bodies. They therefore most frequently cross shorelines and less frequently traverse particular areas further from shores, where their density is consequently Fig. 2. Median9 quartile of arthropod biomass (mg m − 2, same linear scale for all) and of nettle regrowth (number of secondary branches and secondary leaves per nettle) at predator-removal and control plots at the shore and 30 m distant from it. Differences at a site for Tetragnatha, other spiders and harvestmen were caused by the treatment, while the rest are response variables. Asterisks indicate that differences between treatments (below graph) or between the shore and 30 m plots (below centre) were significant according to the Wilcoxon test (p B 0.05, n = 9 pairs). 436 Control lower than at shores. The density of aquatic insects at a distance from the shore will very likely be affected by the productivity of the water body as well as by the behavior of particular species of aquatic insects in crossing land, which will also be influenced by the nature of the terrestrial habitat. To deepen our understanding of the effects of trophic relationships in rivers, where turnover rate is high, towards trophic relationships in adjacent terrestrial environments, where turnover is expected to be comparatively slower (Cyr and Pace 1993, Chase 2000), both more detailed behavioral, as well as broader, spatio-temporal ecological studies are required (Power 2000, Holt 2000). Our investigation elucidates one way how distinctive habitats, water and land, are interconnected. The aquatic food web becomes part of the surrounding terrestrial environment and affects the terrestrial food web in a way analogous to apparent competition (Holt 1984). Midges originating from the water cause a numerical response in spiders and enable them to depress leafhoppers and thereby to reduce herbivory on nettles. This case study contributes to the growing concept of spatial subsidies (Polis et al. 1997) that is fundamental for the landscape ecology of rivers. Acknowledgements – The late Gary Polis suggested and guided this study and the Alexander-von-Humboldt Foundation funded JRH. The Wasserwerk Würzburg, Würzburger Versorgungs- und Verkehrs GmbH, Government of Lower Frankonia and Municipality of Würzburg gave permission and facilitated this study in Würzburg riparian forest. Inge Henschel assisted extensively in the field and laboratory. Peter Buchacher, Günther Eppinger, Jutta Hoffmann, Annette Hoh, Konstantin König, Norbert Schneider, Lisa Stumpf and Gerhard Vonend provided help, tools and advice. For valuable comments we thank Andreas Lang, Eduard Linsenmair, Mary OIKOS 93:3 (2001) Power, Mark Robertson, John Sabo, Thomas Schmidt, Mary Seely and David Ward. References Anderson, N. H. 1962. Bionomics of six species of Anthocoris (Heteroptera: Anthocoridae) in England. – Trans. R. Entomol. Soc. Lond. 114: 67–95. Anon. 1991. Wasserwirtschaft im Regiergungsbezirk Unterfranken, Gewässergütekarte 1990. Regierung von Unterfranken, Würzburg, Germany. Bustamante, R. H., Branch, G. M. and Eekhout, S. 1995. Maintenance of an exceptional intertidal grazer biomass in South Africa: subsidy by subtidal kelp. – Ecology 76: 2314 – 2329. Chiverton, P. A. 1986. Predator density manipulation and its effect on populations of Rhopalosiphum padi (Hom.: Aphididae) in spring barley. – Ann. Appl. Biol. 109: 49– 60. Chase, J. M. 2000. Are there real differences among aquatic and terrestrial food webs? – Trends Ecol. Evol. 15: 408– 412. Clarke, R. D. and Grant, P. R. 1968. An experimental study of the role of spiders as predators in a forest litter community, Part 1. – Ecology 49: 1152– 1154. Cyr, H. and Pace, M. L. 1993. Magnitude and patterns of herbivory in aquatic and terrestrial ecosystems. – Nature 361: 148– 150. Davis, B. N. K. 1975. The colonization of isolated patches of nettles (Urtica dioica L.) by insects. – J. Appl. Ecol. 12: 1 – 14. Davis, B. N. K. 1983. Insects on nettles. – Cambridge Univ. Press. Davis, B. N. K. 1989. The European distribution of insects on stinging nettles, Urtica dioica L.: a field survey. – Boll. Zool. 56: 321–326. Dial, R. and Roughgarden, J. 1995. Experimental removal of insectivores from rain forest canopy: direct and indirect effects. – Ecology 76: 1821–1834. Edwards, C. A., Sunderland, K. D. and George, K. S. 1979. Studies on polyphagous predators of cereal aphids. – J. Appl. Ecol. 16: 811–823. Eickwort, K. R. 1977. Population dynamics of a relatively rare species of milkweed beetle (Labidomera). – Ecology 58: 527 – 538. Fraser, L. H. 1998. Top-down vs bottom-up control influenced by productivity in a North Derbyshire, UK, dale. – Oikos 81: 99 – 108. Gillespie, R.G. 1981. The quest for prey by the web building spider Amaurobius similis (Blackwell). – Anim. Behav. 29: 953 – 954. Greenstone, M. H. 1978. The numerical response to prey availability of Pardosa ramulosa (McCook) (Araneae: Lycosidae) and its relationship to the role of spiders in the balance of nature. – Symp. Zool. Soc. Lond. 42: 183– 193. Henschel, J. R. 1986. The socio-ecology of a spotted hyaena Crocuta crocuta clan in the Kruger National Park. – Ph.D. thesis, Univ. of Pretoria, South Africa. Henschel, J. R. 1995. Ein handliches Vakuumsammelgerät für die Erfassung von Spinnen und Insekten (A handy vacuum collector for catching spiders and insects). – Arachnol. Mitt. 9: 67 –70. Henschel, J. R., Stumpf, H. and Mahsberg, D. 1996a. Increase of arachnid abundance and biomass at water shores. – Rev. Suisse Zool.: 269–278. Henschel, J. R., Mahsberg, D. and Stumpf, H. 1996b. Masslength relationships of spiders and harvestmen (Araneae and Opiliones). – Rev. Suisse Zool.: 265–268. Holland, J. M. and Thomas, S. R. 1997. Quantifying the impact of polyphagous invertebrate predators in controlling cereal aphids and in preventing wheat yield and quality reductions. – Ann. Appl. Biol. 131: 375– 397. OIKOS 93:3 (2001) Holt, R. D. 1984. Spatial heterogeneity, indirect interactions, and the coexistence of prey species. – Am. Nat. 124: 377 – 406. Holt, R. D. 2000. Trophic cascades in terrestrial ecosystems. Reflections on Polis et al. – Trends Ecol. Evol. 15: 444– 445. Holt, R. D. and Lawton, J. H. 1993. Apparent competition and enemy-free space in insect host-parasitoid communities. – Am. Nat. 142: 623– 645. Jackson, J. K. and Fisher, S. G. 1986. Secondary production, emergence, and export of aquatic insects of a Sonoran Desert stream. – Ecology 67: 629– 638. Jadranka, M. 1992. Spinnenfauna in Uferbereichen: Artengemeinschaften und ihre räumliche Einnischung. – M.Sc. thesis, Ludwig-Maximilians-University, Munich, Germany. Janetos, A. C. 1982. Foraging tactics of two guilds of webspinning spiders. – Behav. Ecol. Sociobiol. 10: 19– 27. Jeffries, M. 1988. Individual vulnerability to predation: the effect of alternative prey types. – Freshwat. Biol. 19: 49 – 56. Kajak, A. 1965. An analysis of food relations between the spiders Araneus cornutus Clerck and Araneus quadratus Clerck and their prey in meadows. – Ekol. Pol. Ser. A 32: 717 – 764. Kajak, A. 1978. Invertebrate predator subsystem. – In: Breymeyer, A. J. and van Dyne, G. M. (eds), Grasslands, systems analysis and man. Cambridge Univ. Press, pp. 539 – 589. Kiritani, K., Kawahara, S., Sasaba, T. and Nakasuji, F. 1972. Quantitative evaluation of predation by spiders on the green rice leafhopper, Nephotettix cincticeps Uhler, by a sight-count method. – Res. Popul. Ecol. 13: 187– 200. Kronk, A. W. and Riechert, S. E. 1979. Parameters affecting the habitat choice of Lycosa santrita Chamberlain and Ivie. – J. Arachnol. 7: 155 – 166. Lang, A. 1998. Invertebrate predators in arable land: population densities, biomass and predator-prey interactions in the field with special reference to ground beetles and wolf spiders. – Ph.D. thesis, Ludwig-Maximilians-Universität, München, Shaker Verlag, Aachen. Lang, A., Filser, J. and Henschel, J. R. 1999. Predation by ground beetles and wolf spiders on herbivorous insects in a maize crop. – Agric. Ecosyst. Environ. 72: 189– 199. Lawton, J. H., Hassell, M. P. and Beddington, J. R. 1975. Prey death rates and rate of increase of arthropod predator populations. – Nature 255: 60– 62. Malt, S. 1995. Epigeic spiders as an indicator system to evaluate biotope quality of riversides and floodplain grasslands on the river Ilm (Thuringia). – In: Ruzicka, V. (ed.), Proceedings of the 15th European Colloquium of Arachnology, Ceske Budejovice, Czech Republic, pp. 136– 146. Morse, D. H. and Fritz, R. S. 1982. Experimental and observational studies of patch choice at different scales by the crab spider Misumena 6atia. – Ecology 63: 172– 182. Mutikainen, P., Walls, M. and Ojala, A. 1994. Sexual differences in responses to simulated herbivory in Urtica dioica. – Oikos 69: 397– 404. Nyffeler, M. and Benz, G. 1987. Spiders in natural pest control: a review. – J. Appl. Entomol. 103: 321– 339. Oraze, M. J. and Grigarick, A. A. 1989. Biological control of aster leafhopper (Homoptera: Cicadellidae) and midges (Diptera: Chironomidae) by Pardosa ramulosa (Araneae: Lycosidae) in California rice fields. – J. Econ. Entomol. 82: 745 – 749. Polis, G. A. 1999. Why are parts of the world green? Multiple factors control productivity and the distribution of biomass. – Oikos 86: 3– 15. Polis, G. A. and Hurd, S. D. 1995. Extraordinary high spider densities on islands: flow of energy from the marine to terrestrial food webs and the absence of predation. – Proc. Natl. Acad. Sci. USA 92: 4382– 4386. Polis, G. A. and Hurd, S. D. 1996a. Linking marine and terrestrial food webs: allochthonous input from the ocean 437 supports high secondary productivity on small islands and coastal land communities. – Am. Nat. 147: 396– 423. Polis, G. A. and Hurd, S. D. 1996b. Allochthonous input across habitats, subsidized consumers, and apparent trophic cascades: examples from the ocean-land interface. – In: Polis, G. A. and Winemiller, K. O. (eds), Food webs: integration of patterns and dynamics. Chapman and Hall, pp. 275 – 285. Polis, G. A., Anderson, W. B. and Holt, R. D. 1997. Toward an integration of landscape and food web ecology: the dynamics of spatially subsidized food webs. – Annu. Rev. Ecol. Syst. 28: 289–316. Polis, G. A., Sears, A. L. W., Huxel, G. R. et al. 2000. When is a trophic cascade a trophic cascade? – Trends Ecol. Evol. 15: 473–475. Power, M. E. 2000. What enables trophic cascades? Commentary on Polis et al. – Trends Ecol. Evol. 15: 443– 444. Power, M. E., Sabo, J. L., Parker, M. S. et al. 1998. Consequences of trophic exchange from a river to its watershed. – Proceedings VII International Congress of Ecology, 1925 July 1990, Florence, Italy, p. 341. Pullin, A. S. 1987. Changes in leaf quality following clipping and regrowth of Urtica dioica, and consequences for a specialist insect herbivore, Aglais urticae. – Oikos 49: 39 – 45. Pullin, A. S. and Gilbert, J. E. 1989. The stinging nettle, Urtica dioica, increases trichome density after herbivore and mechanical damage. – Oikos 54: 275–280. Readshaw, J. L. 1973. The numerical response of predators to prey density. – J. Appl. Ecol. 10: 342–351. Richards, O. W. 1948. Insects and fungi associated with Urtica: insects. – J. Ecol. 36: 340–343. Riechert, S. E. 1976. Web-site selection in the desert spider Agelenopsis aperta (Gertsch). – Oikos 27: 311– 315. Riechert, S. E. and Lockley, T. 1984. Spiders as biological control agents. – Annu. Rev. Entomol. 29: 299– 320. Riechert, S. E. and Bishop, L. 1990. Prey control by an assemblage of generalist predators: spiders in garden test systems. – Ecology 71: 1441–1450. Rogers, L. E., Hinds, W. T. and Buschbom, R. L. 1976. A general weight vs. length relationship for insects. – Ann. Entomol. Soc. Am. 69: 387–389. Schoener, T. S. and Toft, C. A. 1983. Spider populations: extraordinary high densities on islands without top predators. – Science 219: 1353– 1355. Schoener, T. W. and Spiller, D. A. 1995. Effect of predators and area on invasion: an experiment with island spiders. – Science 267: 1811– 1813. Sommaggio, D., Paoletti, M. G. and Ragusa, S. 1995. The effects of microhabitat conditions, nutrients and predators on the abundance of herbivores on stinging nettles (Urtica dioica L.). – Acta Oecol. 16: 671– 686. Spiller, D. A. 1986. Interspecific competition between spiders and its relevance to biological control by general predators. – Environ. Entomol. 15: 177– 181. Spiller, D. A. 1992. Numerical response to prey abundance by Zygiella x-notata (Araneae, Araneidae). – J. Arachnol. 20: 179 – 188. Spiller, D. A. and Schoener, T. W. 1988. An experimental study of the effect of lizards on web-spider communities. – Ecol. Monogr. 58: 57– 77. Spiller, D. A. and Schoener, T. W. 1990. A terrestrial field experiment showing the impact of eliminating top predators on foliage damage. – Nature 347: 469– 472. Spiller, D. A. and Schoener, T. W. 1994. Effects of top and intermediate predators in a terrestrial food web. – Ecology 75: 182 – 196. Van der Meijden, E., Wijn, M. and Verkaar, H. J. 1988. Defence and regrowth, alternative plant strategies in the struggle against herbivores. – Oikos 51: 355 – 363. Williams, D. D., Ambrose, L. G. and Browning, L. N. 1995. Trophic dynamics of two sympatric species of riparian spider (Araneae, Tetragnathidae). – Can. J. Zool. 73: 1545 – 1553. Wise, D. H. 1979. Effects of an experimental increase in prey abundance upon the reproductive rates of two orb-weaving spider species (Araneae: Araneidae). – Oecologia 41: 289– 300. Wise, D. H. 1993. Spiders in ecological webs. – Cambridge Univ. Press. Zabel, J. and Tscharntke, T. 1998. Does fragmentation of Urtica habitats affect polyphagous and predatory insects differentially? – Oecologia 116: 419– 425. Zar, J. H. 1996. Biostatistical analysis. – Prentice-Hall. . 438 OIKOS 93:3 (2001)
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