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Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 Phil. Trans. R. Soc. B (2012) 367, 3115–3124 doi:10.1098/rstb.2011.0346 Research Climate change effects on above- and below-ground interactions in a dryland ecosystem Adela González-Megı́as1, * and Rosa Menéndez2 1 Depto. de Zoologı́a, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain 2 Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK Individual species respond to climate change by altering their abundance, distribution and phenology. Less is known, however, about how climate change affects multitrophic interactions, and its consequences for food-web dynamics. Here, we investigate the effect of future changes in rainfall patterns on detritivore– plant – herbivore interactions in a semiarid region in southern Spain by experimentally manipulating rainfall intensity and frequency during late spring – early summer. Our results show that rain intensity changes the effect of below-ground detritivores on both plant traits and above-ground herbivore abundance. Enhanced rain altered the interaction between detritivores and plants affecting flower and fruit production, and also had a direct effect on fruit and seed set. Despite this finding, there was no net effect on plant reproductive output. This finding supports the idea that plants will be less affected by climatic changes than by other trophic levels. Enhanced rain also affected the interaction between detritivores and free-living herbivores. The effect, however, was apparent only for generalist and not for specialist herbivores, demonstrating a differential response to climate change within the same trophic level. The complex responses found in this study suggest that future climate change will affect trophic levels and their interactions differentially, making extrapolation from individual species’ responses and from one ecosystem to another very difficult. Keywords: precipitation; detritivores; free-living insects; seed predators; trophic interaction; semiarid environment 1. INTRODUCTION Climate change is having a strong impact on biological systems through changes in species populations, communities and ecosystem processes, with potential consequences for future ecosystem provision [1–4]. A major challenge for ecologists is, therefore, to predict the magnitude and consequences of future climate conditions for all of the above levels of biological complexity [5,6]. The effect of recent climate change is already evident at the level of species abundance and distribution [2–4,7], with many species throughout the world shifting their latitudinal and altitudinal ranges consistent with the recorded warming [3–5,7–10]. These range changes caused colonization and extinction events that have resulted in changes in the diversity and composition of communities [10–12]. The relative abundance of species within communities is also changing, with increasing dominance by newly arriving * Author for correspondence ([email protected]). Electronic supplementary material is available at http://dx.doi.org/ 10.1098/rstb.2011.0346 or via http://rstb.royalsocietypublishing.org. One contribution of 10 to a Theme Issue ‘Impacts of global environmental change on drylands: from ecosystem structure and functioning to poverty alleviation’. species and species with broad ecological niches at the expense of species with narrow environmental/habitat requirements [9,10]. In addition, phenological changes in plant and animal species in response to climate change have been widely reported [4,13–15]. Despite the accumulating evidence of individual species responding to climate change [16,17], little empirical information exists on the effect of climate change on species interactions [6,18,19]. Species vary in their individual response to climate change that may lead to the disruption in both antagonistic [20,21] and mutualistic interactions between species [22,23]. Stronger disruptions are likely to occur if the sensitivity to climate change differs not only between species, but also between trophic levels [18,19,24,25]. Crucially, the disruption of these interactions can affect food-web dynamics and evolutionary processes [16,17,19,26]. In terrestrial ecosystems, the interaction between herbivores and plants is known to be affected by changing climatic conditions because each group responds differently to environmental factors [27,28], and therefore the strength and outcome of their interactions are likely to be affected by climate change [27]. For example, a recent review of the potential effects of climate change on arthropod – plant interactions shows 3115 This journal is q 2012 The Royal Society Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 3116 A. González-Megı́as and R. Menéndez Climate change and trophic interactions that the interactive effect of CO2 and temperature provokes an increase in the rate of herbivory, owing to a reduction in the defensive secondary metabolites produced by the plants [28]. Terrestrial plant-based food webs also involve below-ground organisms intimately connected to above-ground organisms [29– 31] and differentially affected by climatic conditions [32– 34]. For example, air temperature shows higher variation than soil temperature, owing to the wellknown damping effect of soil. This suggests that climatic conditions are likely to change more abovethan below-ground in the near future [35]. As a result, a potential mismatch between above- and below-ground interactions and processes is likely to occur [26,33,34]. Our poor understanding of the effects of climate change on species interaction and food-web dynamics is also exacerbated by the lack of studies exploring the effect of climate change on key components, such as decomposers, of terrestrial food webs [36,37]. In the case of decomposers, this is despite decomposers being important and abundant members of most food webs, interacting with plants and affecting other members of the community [29– 31]. Their activity enhances microbial turnover, nutrient recycling and the breakdown of organic matter, favouring plants in many ways [29,38]. Multiple ecosystem processes should therefore be explored in parallel because, despite all processes being intimately interconnected, some of them might be more sensitive than others to different components of climate change. The outcome of species interactions and their responses to climate change are not only species-dependent, but also habitat-dependent. Simple habitats are expected to be less stable than more complex habitats [39], and therefore a stronger response to variation in climatic conditions would be expected. Arid and semiarid ecosystems are characterized by relatively low biodiversity in terms of both species and interactions. They are also especially sensitive to changes in rainfall [40], but see [41]. General circulation models project a reduction in precipitation and an increase in temperature in Mediterranean areas over the coming decades [42]. However, while temperature is clearly expected to increase, changes in rainfall patterns are likely to be seasonal [43,44]. These models project a potential increase on the frequency of early summer rains, and a reduction of precipitation in winter and autumn [42,43]. Therefore, projected changes in rainfall patterns in southern Europe are likely to affect plant growth, primary productivity and nutrient availability [45–47], but also species interactions [48,49]. Few studies, however, have examined the effect of rainfall alteration on animal and plant species in arid or semiarid ecosystems [50]. Here, we investigate detritivore– plant – herbivore interactions, testing the potential effect of a future climatic scenario on the fate of these interactions in a semiarid region in southern Spain. We experimentally manipulate rainfall intensity and frequency during late spring– early summer period in order to discern the potential effects of changing rainfall patterns on tritrophic interactions that involve above-ground and below-ground organisms. Phil. Trans. R. Soc. B (2012) 2. MATERIAL AND METHODS (a) Study system The study was conducted in 2011 at Barranco del Espartal, a seasonal watercourse located in the arid Guadix-Baza Basin (Granada, southeastern Spain). The climate is continental Mediterranean with strong temperature fluctuations (ranging from 2148C to 408C) and high seasonality (hot summers, cold winters). The soil is characterized by a sandy–loam texture, high pH, low water-retention capacity and high salinity. As generally found in arid soils, most of the ground surface is devoid of plant litter (58%), which appears only under shrubs and in ant-nest mounds. The vegetation is an arid open shrub-steppe dominated by Artemisia herba-alba Asso, A. barrelieri Bess. (Asteraceae), Salsola oppositifolia Desf. (Salsoloideae), Stipa tenacissima L. (Poaceae), Lygeum spartum L. (Poaceae) and Retama sphaerocarpa L. (Fabaceae). The short-lived Brassicaceae species Moricandia moricandioides (Boiss.) Heywood is highly abundant in this habitat and as a result, was used as a model system. Moricandia moricandioide’s plants are distributed in monospecific stands, and no litter accumulates underneath the plants owing to their small size. This species grows as a vegetative rosette during winter, and produces reproductive stalks during spring. The stalks remain photosynthetically active during the entire season. The insect herbivores associated with M. moricandioides include specialist and generalist chewers [51]. The most abundant specialists are the pierids Pontia daplidice L., Euchloe crameri Batler and Pieris rapae L., the diamondback moth (Plutella xylostella L., Plutellidae) and the sawfly Tenthredo sebastiani Lacourt (Hymenoptera, Tenthredinidae). Generalist chewers include various species of grasshoppers and beetles. Sapsuckers are also abundant in the study area, mainly represented by the specialist aphids Brevicoryne brassicaceae (Linnaeus, 1758) and Lipaphis erysimi Kaltenbach, and the generalists: the aphid Myzus persicae Sulzer and the planthopper Agalmatium bilobum Fieber (Hemiptera, Issidae). The most abundant seed predator species (found in 99% of fruits) on M. moricandioides is Crossobela trinotella (Herrich-Schäffer, 1856; Lepidoptera, Gelechiidae). Below-ground organisms such as Morica hybrida Charpentier (Coleoptera: Tenebrionidae) and Cebrio gypsicola Graells (Coleoptera: Cebrionidae) are among the most abundant generalist detritivores and root herbivores, respectively, to be found in the study area [52]. The above- and below-ground organisms associated with M. moricandioides affect the induction of defensive chemical compounds by the plant and also affect each other through complex interactions [51]. (b) Experimental set-up To explore the individual and combined effect of detritivores and a future climate change scenario on the interaction between the model plant species and the above-ground insects, we conducted an experiment in the field in 2011. The experiment was a split-plot design with two factors with two levels per factor. The two factors were: climate change, in which summer rainfall precipitation was altered (climate change hereafter), and detritivores, in which the Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 Climate change and trophic interactions A. González-Megı́as and R. Menéndez presence/absence of this guild was manipulated (detritivores hereafter). The climate change treatment was applied to 12 randomized blocks. Each block had 10 plants located in three lines (3 þ 3 þ 4 plants per line), and at least 30 cm apart from each other (120 plants in total). During the winter of 2010–2011, seeds of M. moricandioides, collected from the study area, were germinated in pots with soil from the study area and grown in a common garden. The plants were kept in these pots until mid-May (16 May 2011) when they were moved to the field. Plants were re-potted using mixed soil (free of macroarthropods) from the study site. The pots consisted of fibre-glass-mesh cylinders (10 15 cm) of 1 mm mesh size to inhibit the entrance or escape of detritivores. These pots were then buried with the upper surface level with the ground. During the first week in the field, and in the absence of natural rain, all plants were watered to ensure their establishment. None of the plants had a reproductive stem at the moment of being moved to the field. The climate change treatment has two levels (six blocks per level): enhanced summer rainfall (rain) and control, with no manipulation. The rain level simulated a climate change scenario in which precipitation during the summer is increased compared with current conditions, but it is concentrated in a few events (lower frequency). To do so, we calculated the mean precipitation that occurred in the study area in the last 10 years for two periods: (i) the beginning of spring (March– April) and (ii) late spring to the beginning of summer (May– June; electronic supplementary material, table S1). We also calculated the mean precipitation in June and July for the same historical period (see the electronic supplementary material, table S1). We supplemented precipitation in June by adding sufficient water to increase precipitation to the mean precipitation obtained for the first period (March– April). In a similar way, we simulated an increase in precipitation in July by supplementing it to the level of the mean of the second period (May– June). The frequency of the rain events was also reduced by approximately 50 per cent. The enhanced rainfall was applied four times in June and twice in July to simulate the amount of rainfall but concentrated in fewer events compared with natural spring rainfall (see the electronic supplementary material, table S1). August was not included in the experiment because no plants survive (in natural or under experimental conditions) to this month. To simulate cloud cover during the experimental rain events, we covered the blocks with a net that filtered radiation by 50 per cent. This net was used during the day of the experimental rain event, and the day after, simulating the mean reduction of solar radiation that has been observed under natural rain conditions in the study area during the last 10 years. The detritivores treatment consisted of two levels: the addition of one larva of the tenebrionid M. hybrida, and the control with no detritivore. Each of the 10 pots within each block was allocated randomly to one of two detritivore levels. One third-instar larva of the detritivore M. hybrida was added to the soil of each plant assigned to that treatment. The tenebrionid larvae were collected from the study area during the spring. Phil. Trans. R. Soc. B (2012) 3117 (c) Data collection To score free-living herbivores, the number of naturally occurring sapsucker and chewer herbivores was recorded on each experimental plant every three days after the set-up of the experiment (15 May 2011). Total abundance of each herbivore guild was calculated by summing the number of individuals recorded during all the surveys until the end of the experiment (end of July). To avoid problems of summing individuals counted in a previous census, we subtracted at each census the number of individuals of the same instar/type (winged versus not winged) counted in the previous census. We also counted the number of eggs laid by pierid species (Lepidoptera) on leaves and flowers. At the end of the experiment (28 July 2011), we measured plant height and the diameter of the main stem, and counted the number of reproductive stems and the total number of flowers and fruits produced by each plant. Fruits were collected after complete maturation of seeds but before seed dispersal. Fruits were carried to the laboratory where the total number of seeds per plant was estimated by multiplying the number of fruits per plant the average number of mature seeds per fruit found in 10 fruits per plant. The number of ovules, aborted seeds and predated seeds were also counted. When the number of fruits per plant was equal to or less than 10, the number of seeds per fruit was counted in all fruits of the plant. Fruit set was calculated as the proportion of flowers that passed to fruits, and the seed set as the proportion of ovules that produced seeds per ripe fruit. The abundance of seed predators was quantified by counting the total number of fruits with at least one predator. This is a conservative estimate of seed predator abundance because it is possible to find up to three seed predators per fruit [51]. The attack rate of seed predators was calculated as the proportion of fruits infested by seed predators. All the above-ground part of the plants was collected individually from the field and oven-dried at 408C for 72 h (until complete desiccation). Above-ground tissue was weighed to calculate above-ground biomass. C and N concentrations, and their ratio in aboveground tissue were determined for each plant using a CHN Elemental Analyzer (CIC, Univ. Granada). (d) Statistical analyses Linear (LMM) and generalized linear-mixed models (GLMMs) were used to test the effects of each factor (climate change and detritivores) and their interaction on herbivore abundance and plant traits. Block was included in all the analyses nested within climate change, and as a random factor to control for the potential effect of the location. LMMs were used for variables fitting a Gaussian distribution. GLMMs were used for variables fitting binomial distribution (with logit as link function) and Poisson distributions (with log as link function). Where overdispersion was found, we ran the GLMMs with individual-level variability, which allows for variation at the individual rather than at the group level (including individuals as a random factor). All analyses were performed on R Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 Phil. Trans. R. Soc. B (2012) 4.29 3.37 6.67** 0.01 0.71 0.24 4.42 0.01 0.88 0.001 0.32 0.75 CC D CC D 1.25 0.45 1.57 1.10 4.28*** 27.31*** 0.53 3.86*** 26.88*** 4.47ms 2.48 0.09 17.76** 0.19 1.07 0.10 0.80 1.98 F F F F F F C/N tissues plant biomass N seeds seed set fruit set N fruits z z z F model (b) Effects of the experiment on plant traits There was a significant effect of the interaction between detritivores and climate change on plant traits (table 1; see electronic supplementary material, table S2), with detritivores negatively affecting flower and fruit productions in the rain level (figure 1). There was no effect of detritivores or climate change on the number N flowers 3. RESULTS (a) Above-ground insect assemblage associated with Moricandia moricandioides During the study period, several species of generalist and specialist chewer and sapsucker insects visited and fed on the experimental plants. We found 1.98 + 0.16 specialist chewers/plant belonging to four species: Euchloe crameri, E. belemia (Esper), Pontia daplidice and Plutella xyllostella. Generalist chewers were in general less abundant (0.34 + 0.06 generalist chewers per plant), and 96 per cent of them belonged to three species of beetles; Galeruca angusta (Kuster), Mylabris quadripunctata (L.) and Mylabris hieracii (Graells), and two unidentified species of Orthoptera (only immature individuals were recorded). Four species of sapsuckers represented 99 per cent of all the individuals found in the census. These consisted of two specialists—Brevicoryne brassicacea, and Lipaphis erysimi (4.26 + 1.67 individuals per plant)—and two generalists—Agalmatium bilobum and an unidentified species of cicadellid (12.21 + 0.92 individual per plant). N stems program [53], using the lme4 package [54]. GLMMs were fitted and evaluated with a log-link function with the Laplace approximation [55]. The z-value for each of the factors in the GLMMs is shown with the results. The z-value is not reliable enough to be used to assess the significance of the module; so it is used in this study only to compare the relative importance of each variable. To solve this problem, we follow the recommendation suggested by Bolker et al. [55], and the fixed factors were tested in GLMMs by the information-theoretic approach [56]. The approach compares the fits of a suite of candidate models using Akaike’s information criterion (AIC). This is carried out by comparing the AIC of a model including only the intercept against the models built by including each fixed factor every time (with the random equation complete). We used the secondorder AIC, AICc as recommended by Burnham & Anderson [56]. AICc differences (Di) were calculated for each model (AICi – AICmin), which provides a ranking of the candidate models. The larger the AIC difference for a model, the less probable that it is the best model. As a rough rule of thumb, it has been proposed that models for which Di 2 receive substantial support and are considered when making inferences, that models having 4 Di 7 have considerably less support, and that models having Di . 10 receive no support [56]. Following this recommendation, only models with Di 2 were selected in this study. We calculated the AICc weight (wi) for each candidate model, the wi sum to 1, which indicates the probability that model i is the best model. The mean + s.e. is shown throughout the manuscript. C/N seeds Climate change and trophic interactions plant height A. González-Megı́as and R. Menéndez Table 1. Results of the linear-mixed models (F provided) and generalized mixed model (z provided, see §2) for the effect of climate change (CC) and detritivore (d) treatments on Moricandia moricandioides reproductive output. Block was included as a random factor nested on climate change. ms, .0.05 2 ,0.07; *,0.05; **,0.01; ***,0.001. 3118 Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 28 18 26 17 24 16 22 15 20 * 18 16 14 C/N in seeds N flowers Climate change and trophic interactions A. González-Megı́as and R. Menéndez 3119 * 14 13 12 12 11 10 10 9 control 12 N fruits 10 8 * 6 4 2 control rain Figure 1. The effect of climate change (control and rain levels) and detritivores (Dþ denotes presence (filled circles), D2 denotes absence (open square)) treatments on the number of flowers and fruits produced by Moricandia moricandioides. Mean + s.e. are shown. n ¼ 104 plants. of reproductive stems produced by the plants, on plant height or on above-ground biomass (table 1). Climate change affected fruit set and seed set in opposing ways (table 1), with less fruit set in the rain level than in the control level (rain: 0.29 + 0.04 versus control: 0.39 + 0.04), and more seed set in the rain level than in the control level (rain: 0.32 + 0.04 versus control: 0.18 + 0.03). The treatments in our experiment did not affect the total number of seeds produced by the plants (table 1). A significant effect of the interaction between detritivores and climate change was also observed when comparing seed quality (quantified as C/N ratio; table 1), with detritivores reducing seed quality in the control level, and increasing seed quality in the rain treatment (in the rain treatment, the difference between the level of detritivores was only marginally significant; figure 2). Our treatments did not affect the quality of the above-ground tissue (table 1). (c) Effects of the experiment on above-ground herbivores Detritivores reduced the abundance of sapsuckers by 28 per cent, and the abundance of specialist sapsuckers by 45 per cent (see table 2 and electronic supplementary material, table S2). There was a significant effect of the interaction between detritivores and climate change on generalist sapsuckers (see table 2 and electronic supplementary material, table S2), with detritivores negatively affecting generalist sapsuckers in the rain level (figure 3a). No significant interaction effect between treatments was found on Phil. Trans. R. Soc. B (2012) rain Figure 2. The effect of climate change (control and rain levels) and detritivores (Dþ denotes presence (filled circles), D2 denotes absence (open square)) treatments on C/N ratio in the seeds of Moricandia moricandioides. Mean + s.e. are shown. n ¼ 68 plants. the abundance of all sapsuckers or specialist sapsuckers (see table 2 and electronic supplementary material, table S2). Detritivores reduced the abundance of chewer herbivores by 27 per cent, although the effect was only marginally significant, and the abundance of specialist chewers by 28 per cent with no interaction effect of detritivores and climate change (see table 2 and electronic supplementary material, table S2). There was, however, a significant effect of the interaction between detritivores and climate change on the abundance of generalist chewers (table 2), with detritivores negatively affecting generalist chewers in the rain level (figure 3b). Neither detritivores nor climate change affected the number of eggs laid by pierid butterfly species (table 2). There was a significant effect of the interaction between detritivores and climate change on seed predator abundance (table 2), with detritivores increasing the abundance of seed predators by 57 per cent in the control level, and decreasing seed predator abundance by 37 per cent in the rain level (figure 4). Detritivores also increased seed predator attack rate by 47 per cent in the control level (figure 4), with the detritivores and climate change interaction effect being marginally significant (table 2). The mean number of predated seeds per fruit was 6.95 + 0.99, with no significant effect of our treatments (table 2). 4. DISCUSSION Our results show that changes in rainfall had a strong effect on trophic interactions in the M. moricandioides system, owing to differences in the response of each trophic level to the simulated rain events. Our experiment revealed a strong effect of the interaction between climate change and detritivores treatments on plant traits, with rain alteration affecting fruit and seed set, but with no net effect on the reproductive output of the plant. The combined effect of climate change and detritivores on plants was neutral in terms of the total number of seeds produced by Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 A. González-Megı́as and R. Menéndez Phil. Trans. R. Soc. B (2012) Climate change and trophic interactions 20 generalist sapsuckers 0.07 0.50 1.65 16 14 12 10 * 8 6 0.01 0.37 3.28ms F 18 F seed p. attack rate predated seed per fruit (a) 4 generalist chewers 0.60 0.36 4.39* 0.03 1.07 24.05* F 0.6 F generalist chewers seed predators (b) 0.7 0.5 0.4 0.50 22.13* 0.32 0.78 0.64 0.30 CC 21.39 D 26.26*** CC D 21.46 20.69 27.83*** 1.41 21.09 22.33* 23.02** 0.66 21.76ms 20.44 z z z z z z model specialist chewers N egg S chewers chewers generalist sapsuckers specialist sapsuckers * 0.3 0.2 0.1 0 sapsuckers Table 2. Results of the linear-mixed models (F provided) and generalized mixed model (z provided, see §2) for the effect climate change (cc) and detritivore (D) factors on the abundance of herbivores associated to Moricandia moricandioides. Result for the number of eggs laid by specialist butterfly species (N egg S chewers), seed predator attack rate (seed p. attack rate) and the predated number of seed per fruits (predated seed per fruit) are also shown. Block was included as a random factor nested on climate change. ms, .0.05 2 ,0.07, *,0.05; **,0.01, ***,0.001. 3120 control rain Figure 3. The effect of climate change (control and rain levels) and detritivores (Dþ denotes presence (filled circles), D2 denotes absence (oepn square)) treatments on the abundance of: (a) generalist sapsuckers, and (b) generalist chewers associated to Moricandia moricandioides. Mean + s.e. are shown. n¼104 plants. the plant, indicating that plants compensated for the reduction in fruit production under the rain level by an increasing investment on ovules such that more of them successfully developed into seeds. Short-lived plants are supposed to be more sensitive to changing climatic conditions than long-lived plants [24,57]; nevertheless, plants in arid and semiarid areas are well adapted to annual fluctuation in precipitation [58]. Indeed, short-lived plants in arid and semiarid ecosystems respond very rapidly to pulses of precipitation producing large quantities of seeds [59]. This agrees with the compensatory response of M. moricandioides observed in our study, a plant species in which most individuals reproduce just once, and only a few individuals reproduce more than one year (maximum 3 years). Our finding supports the idea that plants are less affected by changing climatic conditions than other trophic levels [24,60]. The effect of detritivores on flower and fruit numbers produced by the plants under the rain level was not unexpected. It is well known that plant responses to detritivores are variable among plant species [61], and also vary according to nutrient availability in the ecosystem [62]. However, our results also indicate that both factors do not act in isolation and that the effect of one factor can be reversed by the other. The mechanism(s) behind the patterns we have observed are not yet clear. Plants’ resource allocation to Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 Climate change and trophic interactions A. González-Megı́as and R. Menéndez no. of seed predators 8 7 6 5 4 3 * 2 seed predator attack rate 1 0.55 0.50 0.45 0.40 0.35 0.30 0.25 0.20 0.15 0.10 * control rain Figure 4. The effect of climate change (control and rain levels) and detritivore (Dþ denotes presence (filled circles), D2 denotes absence (open square)) treatments on the number of seed predators and seed predator attack rate in Moricandia moricandioides. Mean + s.e. are shown. n ¼ 68 plants. chemical defence versus reproductive tissue may be influenced by both climatic conditions and detritivores. We know, from our previous work, that detritivores in our study system play an important role in the induction of plant defences (e.g. glucosinolates), in both the vegetative [51] and reproductive tissues [61]. Several studies have also shown that detritivores affect the production of induced chemical defences in plants in other systems [63– 65]. These effects could be due to an increase in nitrogen availability for the plant mediated by detritivores, but may also be due to detritivores inducing the expression of genes associated with plant defences [64]. We also know, from the results presented here, that detritivores decrease the quality of seeds in the control level, but increase the seed quality in the rain level (C/N content of seeds). So we believe that the negative effect of detritivores on flowers and fruits under enhanced rain may be the result of an increased investment by the plant into chemical defence and seed number within fruits, combined with a general higher quality of those seeds (C/N) in this treatment. The most intriguing findings of our study are those related to the effect of the experimental treatments on the interaction between herbivores and detritivores. Rainfall alteration had a strong effect on the interaction between detritivores and several above-ground herbivorous guilds (sapsuckers and chewers), and those effects also vary with the level of specialization of the herbivorous guild (generalist versus specialist herbivores). While other studies have found an effect of changes in water availability on species interactions Phil. Trans. R. Soc. B (2012) 3121 (e.g. between above-ground and below-ground herbivores [32,34,66], our results are novel because they provide empirical evidence that climate change affects also the interaction between species belonging to different trophic levels. The differential response of specialist versus generalist herbivores may be related to the fact that plant defences are usually more effective against generalist rather than specialist herbivores [67,68]. The result that the rain level affected the interaction between detritivores and generalist herbivores could be explained by a change, due to water availability, in the effect of detritivores on glucosinolate production by the plant. In Brassicaceae species, glucosinolate content in different parts of the plant varies under different water regimes [69,70], and according to the timing of the irrigation relative to the stage of the plant [71]. In a resource-limited environment, such as an arid or a semiarid environment, plant traits that reduce herbivory are important because of the low potential of plants to compensate for the negative effects of herbivory through growth [72]. Therefore, when nutrient and/or water levels are insufficient and limit plant growth, the investment in secondary metabolites (including plant defence compounds) is low [72]. However, when water and/or resource availability increases, plants can invest more into defences against generalist herbivores. Detritivores can also induce other plant defences against specialist herbivores. We know, from our previous work on the study system, that detritivores enhanced parasitoid attack rate of specialist butterfly species, which seems to indicate that detritivores are somehow involved in the induction of plant volatile compounds that attract parasitoids [51] as many plants use induced volatile metabolites to attract natural enemies as a defence against specialist herbivores [73,74]. The number of eggs laid on plants by the specialist butterfly species was not affected by our experimental treatments, which suggest that the attraction of parasitoids, or other types of predator, is required to account for the negative effect of detritivores on the number of pierid larvae found on the plants. However, in contrast to glucosinolates, volatile metabolites may be less influenced by water availability, as we did not find a significant interaction effect of detritivores and climate change on the abundance of specialist herbivores. Crucially, our results support other empirical studies that have found that generalists and specialists differentially respond to climate change [10,11]; however, our results suggest that this differential response of herbivores may be manifested only in the presence of detritivores within the ecosystem. Future changes in climatic conditions may have important implications not only for free-living insects, but also for endophytic insects. For example, Staley et al. [34] found that different climatic conditions altered the competitive interaction between a root herbivore and a leave-miner. In our system, the seed predator Crossobella trinotella is an endophytic species that shows a strong association with the fruit during the complete development of their immature stages. Our experiment shows that climate change treatment not only affected the intensity of the interaction Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 3122 A. González-Megı́as and R. Menéndez Climate change and trophic interactions between detritivores and seed predator abundance, but also the sign of the interaction from positive (under current climate conditions) to negative (under a different rainfall scenario). This reversal can be explained by the low number of flowers produced by the plant under the rain level, and the negative effect of rain on the fruit set. Usually, this type of seed predator lays eggs on flowers, and the larva hatch when the immature fruits start to develop. In our study, however, the interaction between detritivores and seed predators was also evident when comparing seed predator attack rate. Therefore, something more than a reduction in fruit set is required to explain our results. A possible mechanism behind the pattern detected is that seed predator attack rate is related to the quality of the resource. Curiously, although our experiment shows that in the control level, detritivores decreased seed quality, with no significant effect of detritivores treatment in the rain level, seed predator attack rate was not related to the C/N content in seeds. An alternative, non-exclusive mechanism to explain our results is that the effect of rain on the interaction between detritivores and seed predators may be mediated by an increase within the seeds of primary and secondary metabolites produced by the plant. Detritivores affected the quality of the seeds in our systems by increasing the glucosinolate content of seeds [75], which could have a positive effect on a specialist herbivore such as C. trinotella by reducing competition or accidental predation by generalist herbivores feeding on fruits [67,68]. 5. CONCLUDING REMARKS Ecosystems are expected to experience changes in climatic conditions in the future, which include not only temperature and UV-radiation changes, but also rainfall alterations. Therefore, to understand and predict the effects of future climate change on drylands, we need an improved understanding of how rainfall affects the abundance of species as well as the sign and strength of interactions between different components of above- and below-ground communities inhabiting those ecosystems [16,19]. This study contributes to this understanding by focusing on the effect of rainfall intensity and frequency on tritrophic interactions linking species from the above-ground and below-ground subsystems. Our results support the idea that different trophic levels will be differentially affected by climate change. Rain alteration changed the effect of belowground organisms on plant traits, but with no net effect on plant reproductive output. In addition, our rain manipulation affected in a contrasting way the interaction between organisms belonging to different trophic levels, and also species with different trophic specializations. Climate change will not only affect the strength of species interactions, but, as found in our study, may also turn positive interactions into negative ones (or vice versa), leading to disruptions within the wider food web with potential consequences for ecosystem functioning [16,19,20]. The complex responses found in this study suggest that future climate change will affect trophic levels and their interactions differentially, making extrapolation from Phil. Trans. R. Soc. B (2012) individual species’ responses and from one ecosystem to another very difficult. We thank Ignacio Villegas, Viola Belohrad and Mara Lindtner for their help in the lab and in the field, and Mark Lineham for kindly revising the English in the manuscript. We also thank three anonymous reviewers for insightful reviews of this manuscript. We are grateful to J. M. Nieto Nafrı́a (Aphids), Oscar Aguado (Tenthedinidae), Vladimir Gnezdilov (Issidae) and Ole Karsholt (Gelechiidae) for the identification of the specimens. This research was funded by a grant (P08-RNM-0381) from the Andalusian Government, Spain. REFERENCES 1 Parmesan, C. & Yohe, G. 2003 A globally coherent fingerprint of climate change impacts across natural systems. Nature 421, 37–42. (doi:10.1038/nature01286) 2 Genner, M. J., Sims, D. W., Wearmouth, V. J., Southall, E. J., Southward, A. J., Henderson, P. A. & Hawkins, S. J. 2004 Regional climatic warming drives long-term community changes of British marine fish. Proc. R. Soc. Lond. B 271, 655– 661. (doi:10.1098/rspb.2003.2651) 3 Thomas, C. D. et al. 2004 Extinction risk from climate change. Nature 427, 145–148. (doi:10.1038/nature02121) 4 Parmesan, C. 2006 Ecological and evolutionary responses to recent climate change. Ann. Rev. Ecol. Evol. Syst. 37, 637 –669. (doi:10.1146/annurev.ecolsys. 37.091305.110100) 5 Hill, J. K., Thomas, C. D., Fox, R., Telfer, M. G., Willis, S. G., Asher, J. & Huntley, B. 2002 Responses of butterflies to twentieth century climate warming: implications for future ranges. Proc. R. Soc. Lond. B 269, 2163–2171. (doi:10.1098/rspb.2002.2134) 6 Gilman, S. E., Urban, M. C., Tewksbury, J., Gilchrist, G. W. & Holt, R. D. 2010 A framework for community interactions under climate change. Trends Ecol. Evol. 25, 325– 331. (doi:10.1016/j.tree.2010.03.002) 7 Wilson, R. J., Gutiérrez, D., Gutiérrez, J., Martı́nez, R. & Monserrat, V. J. 2005 Changes to the elevational limits and extent of species ranges associated with climate change. Ecol. Lett. 8, 1138–1146. (doi:10.1111/j.14610248.2005.00824.x) 8 Deutsch, C. A., Tewksbury, J. J., Huey, R. B., Sheldon, K., Ghalambor, C., Haak, D. & Martin, P. R. 2008 Impacts of climate warming on terrestrial ectotherms across latitude. Proc. Natl Acad. Sci. USA 105, 6668–6672. (doi:10.1073/pnas.0709472105) 9 Thomas, C. D. 2010 Climate, climate change and range boundaries. Div. Distrib. 16, 488–495. (doi:10.1111/j. 1472-4642.2010.00642.x) 10 González-Megı́as, A., Menéndez, R., Roy, D., Brereton, T. & Thomas, C. D. 2008 Changes in the composition of British butterfly assemblages over two decades. Glob. Change Biol. 14, 1464–1474. (doi:10.1111/j.13652486.2008.01592.x) 11 Menéndez, R., González Megı́as, A., Hill, J. K., Braschler, B., Willis, S. G., Collingham, Y., Fox, R., Roy, D. B. & Thomas, C. D. 2006 Species richness changes lag behind climate change. Proc. R. Soc. B 273, 1465–1470. (doi:10.1098/rspb.2006.3484) 12 Wilson, R. J., Gutiérrez, D., Gutiérrez, J. & Monserrat, V. J. 2007 An elevational shift in butterfly species richness and composition accompanying recent climate change. Glob. Change Biol. 13, 1873–1887. (doi:10. 1111/j.1365-2486.2007.01418.x) 13 Roy, D. B. & Sparks, T. H. 2000 Phenology of British butterflies and climate change. Glob. Change Biol. 6, 407 –416. (doi:10.1046/j.1365-2486.2000.00322.x) Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 Climate change and trophic interactions A. González-Megı́as and R. Menéndez 14 Visser, M. E. & Both, C. 2005 Shifts in phenology due to global climate change: the need for a yardstick. Proc. R. Soc. B 272, 2561–2569. (doi:10.1098/rspb.2005.3356) 15 Gordo, O. & Sanz, J. J. 2010 Impact of climate change on plant phenology in Mediterranean ecosystems. Glob. Change Biol. 16, 1082–1106. (doi:10.1111/j.13652486.2009.02084.x) 16 Harrington, R., Woiwod, I. & Sparks, T. 1999 Climate change and trophic interactions. Trends Ecol. Evol. 14, 146 –150. (doi:10.1016/S0169-5347(99)01604-3) 17 Thomas, C. D., Bodsworth, E. J., Wilson, R., Simmons, A. D., Davies, Z. G., Musche, M. & Conradt, L. 2001 Ecological and evolutionary processes at expanding range margins. Nature 411, 577–581. (doi:10.1038/35079066) 18 Tylianakis, J. M., Didham, R. K., Bascompte, J. & Wardle, D. A. 2008 Global change and species interactions in terrestrial ecosystems. Ecol. Lett. 11, 1351–1363. (doi:10.1111/j.1461-0248.2008.01250.x) 19 Barton, B. T., Beckerman, A. P. & Schmitz, O. J. 2009 Climate warming strengthens indirect interactions in an old-field food web. Ecology 90, 346–2351. 20 Durant, J. M., Hjermann, D. O., Ottersen, G. & Stenseth, N. C. 2007 Climate and the match or mismatch between predator requirements and resource availability. Clim. Res. 33, 271 –283. (doi:10.3354/ cr033271) 21 Singer, M. C. & Parmesan, C. 2010 Phenological asynchrony between herbivorous insects and their hosts: signal of climate change or pre-existing adaptive strategy? Phil. Trans. R. Soc. B 365, 3161– 3176. (doi:10.1098/ rstb.2010.0144) 22 Doi, H., Gordo, O. & Katano, I. 2008 Heterogeneous intra-annual climatic changes drive different phenological responses at two trophic levels. Clim. Res. 36, 181 –190. (doi:10.3354/cr00741) 23 Memmott, J., Craze, P. G., Waser, N. M. & Price, M. V. 2007 Global warming and the disruption of plantpollinator interactions. Ecol. Lett. 10, 710– 717. (doi:10. 1111/j.1461-0248.2007.01061.x) 24 Voigt, W. et al. 2003 Trophic levels are differentially sensitive to climate. Ecology 84, 2444 –2453. (doi:10. 1890/02-0266) 25 Thackeray, S. J. et al. 2010 Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments. Glob. Change Biol. 16, 3304–3313. (doi:10.1111/j.1365-2486.2010.02165.x) 26 Van der Putten, W. H., Marcel, M. & Visser, M. 2010 Predicting species distribution and abundance responses to climate change: why it is essential to include biotic interactions across trophic levels. Phil. Trans. R. Soc. B 365, 2025–2034. (doi:10.1098/rstb.2010.0037) 27 O’Connor, M. I. 2009 Warming strengthens an herbivore–plant interaction. Ecology 90, 388–398. (doi:10. 1890/08-0034.1) 28 Massad, T. J. & Dyer, L. A. 2010 A meta-analysis of the effects of global environmental change on plantherbivore interactions. Arthropod –Plant Interact. 4, 181 –188. (doi:10.1007/s11829-010-9102-7) 29 Bardgett, R. D. & Wardle, D. A. 2003 Herbivore mediated linkages between aboveground and belowground communities. Ecology 84, 2258– 2268. (doi:10. 1890/02-0274) 30 Porazinska, D. L., Bardgett, R. D., Blaauw, M. B., Hunt, H. W., Parsons, A. N., Seastedt, T. R. & Wall, D. H. 2003 Relationships at the aboveground-belowground interface: plants, soil biota, and soil processes. Ecol. Monogr. 73, 377– 395. (doi:10.1890/0012-9615(2003) 073[0377:RATAIP]2.0.CO;2) 31 Schröter, D., Brussaard, L., De Deyn, G., Poveda, K., Brown, V. K., Berg, M. P., Wardleg, D. A., Moorei, J. & Phil. Trans. R. Soc. B (2012) 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 3123 Wall, D. H. 2004 Trophic interactions in a changing world: modelling aboveground–belowground interactions. Basic Appl. Ecol. 5, 515–528. (doi:10.1016/j. baae.2004.09.006) Darby, B. J., Neher, D. A., Housman, D. C. & Belnap, J. 2011 Few apparent short-term effects of elevated soil temperature and increased frequency of summer precipitation on the abundance and taxonomic diversity of desert soil micro- and meso-fauna. Soil Biol. Biochem. 43, 1474–1481. (doi:10.1016/j.soilbio.2011.03.020) Montoya, J. M. & Raffaelli, D. 2010 Climate change, biotic interactions and ecosystem services. Phil. Trans. R. Soc. B 365, 2013–2018. (doi:10.1098/rstb.2010.0114) Staley, J. T., Mortimer, S. R., Morecroft, M. D., Brown, V. K. & Masters, G. J. 2007 Summer drought alters plant-mediated competition between foliar-and rootfeeding insects. Glob. Change Biol. 13, 866 –877. Gehrig-Fasel, J., Guisan, A. & Zimmermann, N. E. 2008 Evaluating thermal treeline indicators based on air and soil temperature using an air-to-soil temperature transfer model. Ecol. Mod. 213, 345– 355. (doi:10. 1016/j.ecolmodel.2008.01.003) Bakonyi, G., Nagy, P., Kovacs-Lang, E., Kovacs, E., Barabas, S., Repasi, V. & Seres, A. 2007 Soil nematode community structure as affected by temperature and moisture in a temperate semiarid shrubland. Appl. Soil Ecol. 37, 31–40. (doi:10.1016/j.apsoil.2007.03.008) Briones, M. J. I., Ostle, N. J., McNamara, N. P. & Poskitt, J. 2009 Functional shifts of grassland soil communities in response to soil warming. Soil Biol. Biochem. 41, 315–322. (doi:10.1016/j.soilbio.2008.11.003) Bardgett, R., Usher, M. B. & Hopkins, D. W. 2005 Biological diversity and function in soils. Cambridge, UK: Cambridge University Press. Loreau, M., Naeem, S. & Inchausti, P. 2002 Biodiversity and ecosystem functioning: synthesis and perspectives. Oxford, UK: Oxford University Press. Hulme, F. 2005 Adapting to climate change: is there scope for ecological management in the face of a global threat? J. Anim. Ecol. 42, 784– 794. (doi:10.1111/j. 1365-2664.2005.01082.x) D’Odorico, P. & Bhattachan, A. 2012 Hydrologic variability in dryland regions: impacts on ecosystem dynamics and food security. Phil. Trans. R. Soc. B 367, 3145–3157. (doi:10.1098/rstb.2012.0016) Houghton, J. T., Ding, Y., Griggs, D. J., Noduer, M., van der Linden, P. J., Dai, X., Maskell, K. & Johnson, C. A. 2001 Climate change 2001: the scientific basis. Contribution of Working Group 1 to the Third Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press. Beniston, M. et al. 2007 Future extreme events in European climate: an exploration of regional climate projections. Clim. Change 81, 79–102. IPCC. 2007 Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden & C. E. Hanson). Cambridge, UK: Cambridge University Press. Ogaya, R., Peñuelas, J., Martı́nez-Vilalta, J. & Mangirón, M. 2003 Effect of drought on diameter increment of Quercus ilex, Phillyrea latifolia, and Arbutus unedo in a holm oak forest of NE Spain. For. Ecol. Manag. 180, 175–184. (doi:10.1016/S0378-1127(02)00598-4) Llorens, L., Peñuelas, J., Estiarte, M. & Bruna, P. 2004 Contrasting growth changes in two dominant species of a Mediterranean shrubland submitted to experimental drought and warming. Ann. Bot. 94, 843 –853. (doi:10. 1093/aob/mch211) Downloaded from http://rstb.royalsocietypublishing.org/ on June 18, 2017 3124 A. González-Megı́as and R. Menéndez Climate change and trophic interactions 47 Sardans, J. & Peñuelas, J. 2004 Increasing drought decreases phosphorus availability in an evergreen Mediterranean forest. Plant Soil 267, 367 –377. (doi:10. 1007/s11104-005-0172-8) 48 Maestre, F. T. & Cortina, J. 2004 Do positive interactions increase with abiotic stress?: a test from a semiarid steppe. Proc. R. Soc. Lond. B 271, S331 –S333. (doi:10.1098/rsbl.2004.0181) 49 Lloret, F., Peñuelas, J. & Estiarte, M. 2005 Effects of vegetation canopy and climate on seedling establishment in Mediterranean shrubland. J. Veg. Sci. 16, 67– 76. (doi:10.1111/j.1654-1103.2005.tb02339.x) 50 Miranda, J. D., Armas, C., Padilla, F. M. & Pugnaire, F. I. 2001 Climatic change and rainfall patterns: effects on semi-arid plant communities of the Iberian Southeast. J. Arid Environ. 75, 1302–1309. (doi:10.1016/j.jaridenv. 2011.04.022) 51 González-Megı́as, A. & Müller, C. 2010 Root herbivores and detritivores shape aboveground multitrophic assemblage through plant-mediated effects. J. Anim. Ecol. 79, 923– 931. 52 Doblas-Miranda, E., González-Megı́as, A. & SánchezPiñero, F. 2007 Soil macroinvertebrate fauna of a Mediterranean arid system: composition and temporal changes in the assemblage. Soil Biol. Biochem. 39, 1916–1925. (doi:10.1016/j.soilbio.2007.02.009) 53 R Development Core Team. 2011 R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. See http://www.R-project.org/ 54 Bates, D., Maechler, M. & Bolker, B. 2011 lme4: linear mixed-effects models using S4 classes. R package version 0.999375-42. See http://CRAN.R-project.org/ package=lme4 55 Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H. & White, J. S. S. 2008 Generalized linear mixed models: a practical guide for ecology and evolution. Trends Ecol. Evol. 24, 127– 135. (doi:10.1016/j.tree.2008.10.008) 56 Burnham, K. P. & Anderson, D. R. 2002 Model selection and multimodel inference: a practical information-theoretic approach. New York, NY: Springer. 57 Morris, W. F. et al. 2008 Longevity can buffer plant and animal populations against changing climatic variability. Ecology 89, 15– 25. 58 Schwinning, S. & Sala, O. E. 2004 Hierarchy of responses to resource pulses in arid and semi-arid ecosystems. Oecologia 141, 211 –220. 59 Holmgren, M. et al. 2006 Extreme climatic events shape arid and semiarid ecosystems. Front. Ecol. Environ. 4, 87–95. (doi:10.1890/1540-9295(2006)004[0087:ECES AA]2.0.CO;2) 60 Salguero-Gómez, R., Siewert, W., Casper, B. B. & Tielbörger, K. 2012 A demographic approach to study effects of climate change in desert plants. Phil. Trans. R. Soc. B 367, 3100–3114. (doi:10.1098/rstb.2012.0074). 61 Laossi, K., Noguera, D. C., Bartolomé-Lasa, A., Mathieu, J., Blouin, M. & Barot, S. 2009 Effects of an endogeic and an anecic earthworm on the competition between four annual plants and their relative fecundity. Soil Biol. Biochem. 41, 1668–1673. (doi:10.1016/j.soilbio.2009.05.009) Phil. Trans. R. Soc. B (2012) 62 Haase, J., Brandl, R., Scheu, S. & Schädler, M. 2008 Above- and belowground interactions are mediated by nutrient availability. Ecology 89, 3072–3081. (doi:10. 1890/07-1983.1) 63 Wurst, S., Dugassa-Gobena, D. & Scheu, S. 2004 Earthworms and litter distribution affect plant-defensive chemistry. J. Chem. Ecol. 30, 691 –701. (doi:10.1023/ B:JOEC.0000028425.43869.b8) 64 Bezemer, T. J. & van Dam, N. M. 2005 Linking aboveground and belowground interactions via induced plant defences. Trends Ecol. Evol. 20, 617–624. (doi:10.1016/ j.tree.2005.08.006) 65 Lohmann, M., Scheu, S. & Müller, C. 2009 Decomposers and root feeders interactively affect plant defence in Sinapis alba. Oecologia 160, 289–298. (doi:10.1007/ s00442-009-1306-0) 66 Gange, A. C. & Brown, V. K. 1989 Effects of root herbivory by an insect on a foliar-feeding species, mediated through changes in the host plant. Oecologia 81, 38–42. (doi:10.1007/BF00377007) 67 Núñez-Farfán, J., Fornoni, J. & Valverde, P. L. 2007 The evolution of resistance and tolerance to herbivores. Annu. Rev. Ecol. Evol. Syst. 38, 541 –566. (doi:10.1146/ annurev.ecolsys.38.091206.095822) 68 Hopkins, R. J., van Dam, N. M. & van Loon, J. A. A. 2009 Role of glucosinolates in insect-plant relationships and multitrophic interactions. Ann. Rev. Entomol. 54, 57–83. (doi:10.1146/annurev.ento.54.110807.090623) 69 Schreiner, M., Beyene, B., Krumbein, A. & Stützel, H. 2008 Ontogenetic changes of 2-propenyl and 3-indolylmethyl glucosinolates in Brassica carinata leaves as affected by water supply. J. Agric. Food Chem. 57, 7259–7263. (doi:10.1021/jf901076h) 70 Zhang, H., Schonhof, I., Krumbein, A., Gutezeit, B., Li, L., Stützel, H. & Schreine, M. 2008 Water supply and growing season influence glucosinolate concentration and composition in turnip root (Brassica rapa ssp. rapifera L.). J. Plant Nutr. Soil Sci. 171, 255–276. (doi:10.1002/jpln.200700079) 71 Radovich, T. J. K., Kleinhenz, M. D. & Streeter, J. G. 2005 Irrigation timing relative to head development influences yield components, sugar levels, and glucosinolate concentrations in cabbage. J. Am. Soc. Hortic. Sci. 130, 943 –949. 72 Hers, D. A. & Matteson, W. T. 1992 The dilemma of plants: to grow or defend. Q. Rev. Biol. 67, 283–335. (doi:10.1086/417659) 73 Turlings, T. C. J., Gouinguené, S., Degen, T. & FritzscheHoballah, M. E. 2002 The chemical ecology of plantcaterpillar–parasitoid interactions. In Multitrophic level interactions (eds T. Tscharntke & A. H. Bradford), pp. 148–149. Cambridge, UK: Cambridge University Press. 74 Soler, R., Bezemer, T. M., van der Putten, W. H., Vet, L. E. M. & Harvey, J. A. 2005 Root herbivore effects on above-ground herbivore, parasitoid and hyperparasitoid performance via changes in plant quality. J. Anim. Ecol. 74, 1121– 1130. (doi:10.1111/j.13652656.2005.01006.x) 75 González-Megı́as, A., Gómez, J. M. & Müller, C. In review. Trans-generational effect in the interaction between detritivores, plants, and herbivores.