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Effects of combination of leaf resources on competition in container mosquito larvae

Published online by Cambridge University Press:  07 February 2012

M.H. Reiskind*
Affiliation:
Department of Entomology and Plant Pathology, 127 Noble Research Center, Oklahoma State University, Stillwater, OK 74078, USA
A.A. Zarrabi
Affiliation:
Department of Entomology and Plant Pathology, 127 Noble Research Center, Oklahoma State University, Stillwater, OK 74078, USA
L.P. Lounibos
Affiliation:
Florida Medical Entomology Laboratory, Department of Entomology and Nematology, University of Florida, 200 9th Street SE, Vero Beach, FL 32962, USA
*
*Author for correspondence Fax: 01-(405)-744-6039 E-mail: michael.h.reiskind@okstate.edu
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Abstract

Resource diversity is critical to fitness in many insect species, and may determine the coexistence of competitive species and the function of ecosystems. Plant material provides the nutritional base for numerous aquatic systems, yet the consequences of diversity of plant material have not been studied in aquatic container systems important for the production of mosquitoes. To address how diversity in leaf detritus affects container-inhabiting mosquitoes, we examined how leaf species affect competition between two container inhabiting mosquito larvae, Aedes aegypti and Aedes albopictus, that co-occur in many parts of the world. We tested the hypotheses that leaf species changes the outcome of intra- and interspecific competition between these mosquito species, and that combinations of leaf species affect competition in a manner not predictable based upon the response to each leaf species alone (i.e. the response to leaf combinations is non-additive). We find support for our first hypothesis that leaf species can affect competition, evidence that, in general, leaf combination alters competitive interactions, and no support that leaf combination impacts interspecific competition differently than intraspecific competition. We conclude that combinations of leaves increase mosquito production non-additively such that combinations of leaves act synergistically, in general, and result in higher total yield of adult mosquitoes in most cases, although certain leaf combinations for A. albopictus are antagonistic. We also conclude that leaf diversity does not have a different effect on interspecific competition between A. aegypti and A. albopictus, relative to intraspecific competition for each mosquito.

Type
Research Paper
Copyright
Copyright © Cambridge University Press 2012

Introduction

Resource diversity can affect animal fitness (reviewed in Pyke, Reference Pyke1984), and the importance of acquiring a diverse and complimentary diet for increased fitness has been well known for terrestrial arthropods (Greenstone, Reference Greenstone1979; Waldbauer & Friedman, Reference Waldbauer and Friedman1991; Eubanks & Denno, Reference Eubanks and Denno1999; Behmer, Reference Behmer2009). Furthermore, resource diversity may contribute to the coexistence of insects with similar, or seemingly similar, nutritional niches (Behmer & Joern, Reference Behmer and Joern2008). Resource diversity is often acquired by consumer choice (Greenstone, Reference Greenstone1979; Behmer & Joern, Reference Behmer and Joern2008); however, many terrestrial and aquatic detritus-based environments may not allow for obvious, active behavioral choices by consumers, especially constrained systems like the small, lentic, aquatic habitats found in tree holes, rock pools and natural and artificial containers dominated by mosquitoes. The consequences of resource diversity on insect fitness in these systems may be profound because consumers confined to a delimited habitat may not have the freedom of choice available in less circumscribed systems. Resource diversity in these ‘container’ habitats may help address two fundamental questions in community ecology: the coexistence of ecologically similar species (Hutchinson, Reference Hutchinson1959), and the relationship of biodiversity and productivity (Tilman et al., Reference Tilman, Wedin and Knops1996; Loreau et al., Reference Loreau, Naeem, Inchausti, Bengtsson, Grime, Hector, Hooper, Huston, Raffaelli, Schmid, Tilman and Wardle2001; Mittelbach et al., Reference Mittelbach, Steiner, Scheiner, Gross, Reynolds, Waide, Willig, Dodson and Gough2001; Cardinale et al., Reference Cardinale, Bennett, Nelson and Gross2009; Srivastava et al., Reference Srivastava, Cardinale, Downing, Duffy, Jouseau, Sankaran and Wright2009). One explanation for the coexistence of ecologically similar species is their utilization of slightly different resources, suggesting resource diversity alone may lead to the coexistence of competitive species (Behmer & Joern, Reference Behmer and Joern2008). This, in turn, may allow for increased productivity, e.g. biomass yield, of an ecosystem containing those competing species when provided with diverse resources (Tilman, Reference Tilman1980). This occurs because diverse resources decrease interspecific competition and can lead to lower competition overall, resulting in greater production of both competitors.

In detritus- based ecosystems, the co-occurrence of multiple leaf species may promote resource diversity, and the effects of different leaf species in various combinations on the decomposition of litter are well studied in terrestrial and lotic aquatic environments (Hattenschwiler et al., Reference Hattenschwiler, Tiunov and Scheu2005; Ball et al., Reference Ball, Hunter, Kominoski, Swan and Bradford2008; Srivastava et al., Reference Srivastava, Cardinale, Downing, Duffy, Jouseau, Sankaran and Wright2009; Swan et al., Reference Swan, Gluth and Horne2009). Although the focus of both terrestrial and aquatic studies has been on the decay of leaf material, recent work has examined the consequences of detrital leaf combinations as a resource for aquatic insect detritivores or filter-feeders. In general, combinations of leaves yield better growth of macroinvertebrates than expected, based upon responses to each leaf species individually for both detritivores and filter feeders, although the synergistic effects of leaf combination are small relative to the variation in invertebrate response to individual leaf species (Swan & Palmer, Reference Swan and Palmer2006; Reiskind et al., Reference Reiskind, Greene and Lounibos2009). These studies have focused on a single consumer and have not examined how combinations of resources affect interactions between consumers. Specifically, the effect of leaf combination on interspecific competition between invertebrate consumers in aquatic systems remains unexplored.

The larval stages of mosquitoes that occur in artificial or natural containers, such as discarded tires or phytotelmata, compete intra-and interspecifically (Juliano, Reference Juliano2009). With few exceptions, most container mosquitoes are filter-feeders and surface browsers and, therefore, do not consume leaf material per se (unless broken into fine particulates), but the microbial flora that consumes the leaf material, for which larvae compete (Walker et al., Reference Walker, Olds and Merritt1988, 1991; Yee et al., Reference Yee, Kaufman and Juliano2007). Very diverse resources, e.g. of leaf material and invertebrate carcasses, favor coexistence of larvae of mosquito species that otherwise might competitively exclude one another (Daugherty et al., Reference Daugherty, Alto and Juliano2000; Murrell & Juliano, Reference Murrell and Juliano2008), and leaf resources from different plants differentially affect mosquito larval competition (Fish & Carpenter, Reference Fish and Carpenter1982; Sota, Reference Sota1993; Yanoviak, Reference Yanoviak1999; Dieng et al., Reference Dieng, Mwandawiro, Boots, Morales, Satho, Tuno, Tsuda and Takagi2002; Murrell & Juliano, Reference Murrell and Juliano2008; Reiskind et al., Reference Reiskind, Greene and Lounibos2009, Reference Reiskind, Zarrabi and Lounibos2010). However, the effects of combinations of leaves have not been examined in the context of interspecific competition, in spite of the fact that plant species may affect the distribution and abundance of mosquito species (Barrera et al., Reference Barrera, Amador and Clark2006; Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010).

Two invasive container mosquito species, Aedes albopictus and Aedes aegypti, compete frequently in nature, a phenomenon that has been well studied under a variety of resource and field conditions (Barrera, Reference Barrera1996; Juliano, Reference Juliano1998; Daugherty et al., Reference Daugherty, Alto and Juliano2000; Braks et al., Reference Braks, Honorio, Lounibos, Lourenco-De-Oliveira and Juliano2004; Murrell & Juliano, Reference Murrell and Juliano2008). Juliano (Reference Juliano2010) performed a meta-analysis of interspecific competition between these two species and concluded that A. albopictus was the superior competitor under conditions of poor quality (low nitrogen) detritus, while in environments with higher nitrogen diets (either invertebrate carcasses or artificial, high-protein diets) A. aegypti is less competitively inferior. A diversity of leaf species, including invasive and native plants, occur in container habitats occupied by both A. aegypti and A. albopictus in south Florida (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010). How different leaf species commonly encountered in these habitats affect competition between A. albopictus and A. aegypti is not known, nor the effects of combinations of leaves on this interaction.

In this study, we address three basic hypotheses on the effects of different leaf species on competition between co-occurring container mosquitoes. First, we hypothesize that different leaf species change the outcome of intra- versus interspecific competition in A. albopictus and A. aegypti larvae. Second, we hypothesize that larvae grow better (higher survival, larger size and shorter development time) on diverse resources and combinations of leaves have a different effect on larvae relative to single leaf species. Finally, we hypothesize that combinations of leaf species have different effects on interspecific competition, and, therefore, coexistence of competing species, than single leaf species. Based upon previous experiments (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010), our first hypothesis predicts that, keeping leaf mass constant, larval habitats provisioned with Brazilian pepper (Schinus terebinthifolious, a common invasive plant in Florida) would alleviate the effects of both inter- and intraspecific competition, and, having been associated with superior performance at high larval densities in previous studies, may favor A. aegypti, relative to habitats provisioned with Australian pine (Causarina equisetifolia, another common invasive plant in Florida) or live oak (Quercus virginiana, a common native plant in Florida). Our second hypothesis predicts that larval habitats provisioned with combinations of these three leaf species at a constant total leaf mass would show reduced density effects from larval competition. This will result in higher survival, larger adult size and faster growth in habitats with multiple leaf species, relative to microcosms with single leaf species and thus result in higher overall yield of mosquito biomass in microcosm provisioned with two or three leaf species relative to the average of single leaf species provisioned microcosms. The final hypothesis predicts that interspecific competition will be alleviated relative to intraspecific competition when microcosms are provisioned with multiple leaf species relative to single leaf species.

Materials and methods

Mosquitoes

Mosquitoes of both species used in this study were F3 progeny of field-collected larvae and eggs from Palm Beach County, Florida, USA. We made the initial collections from May to July 2008 of greater than 2000 individuals, and colonies were maintained at Oklahoma State University under the following larval conditions: 14:10 L:D photoperiod, 27°C, larvae reared on 0.3 g l−1 1:1 yeast:albumin at a density of 100 larvae per liter. Colonies were blood fed on a human volunteer (MHR) (maintenance of colonies exempted from Institutional Review Board for use of human subjects, 24 August 2008). Two generations of mosquitoes were reared under these conditions before use in this experiment.

Leaf material choice and collection

We choose three leaf species based upon their abundance in south Florida container habitats and their ecological importance as dominant native and invasive species (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010). We collected leaf material during the summer of 2008 by species-specific methods in Indian River County, Florida, USA. Australian pine leaves were collected by placing tarps (1.7 m×2.5 m) under stands of Australian pine and collecting all litter fall every other day to collect only recently fallen leaves and avoid leaves that may have already leached resources. We removed any non-Australian pine leaves. We collected Brazilian pepper by hand, only taking senesced leaves that were ready to fall or recently fallen. We collected live oak leaves by hand under large live oaks during the same collection period. We air-dried the collected leaf material in a low humidity environment (rH<35%) for three weeks prior to use, which was sufficient time for their dry weights to stabilize. Leaf material from each species was pooled, and leaves were removed from these pools at random for use in microcosms.

Foliar chemistry

We assessed the carbon to nitrogen ratio of ten individual, dried leaves of each plant species, pulled at random from our pool of leaves to be used in microcosm experiments. To ensure complete dryness, we dried the leaves used for this analysis at 50°C for 48 h and weighed approximately 4 mg of leaf material (exact weights measured using a MP3 ultra microbalance, Sartorius Balances, Data Weighing Systems, Elk Grove, IL, USA). Carbon to nitrogen ratios per exact weight were then determined using an Elementar varioMICRO CHN analyzer (Elementar Americas Inc., Mt. Laurel, NJ, USA) as per the manufacturer's instructions.

Experimental design

We conducted a modified response surface design to test the effects of leaf identity and diversity on interspecific competition (Inouye, Reference Inouye2001). All microcosms were provisioned with a total of 1 g of leaf material and 250 ml of water in 500 ml plastic food-grade containers (Instawares Inc., Wilmington, DE, USA). These conditions are based upon field observations of the leaf detritus contained in container habitats favored by A. aegypti and A. albopictus and numerous competition experiments (Juliano, Reference Juliano1998; Braks et al., Reference Braks, Honorio, Lounibos, Lourenco-De-Oliveira and Juliano2004). We tested seven leaf combinations (‘leaf’, all combinations of Australian pine (A), Brazilian pepper (B) and live oak (O) leaves plus each single species: A, B, O, AB, AO, BO, ABO), two initial larval densities (‘density’, ten (low) or 20 (high) first instar larvae) and three competition levels (‘competition’, all A.aegypti, all A. albopictus, 50% A. aegypti/50% A. albopictus) for a total of 42 individual treatment combinations (7×2×3). Larval densities were chosen based upon field observations of similar sized containers (O'Meara et al., Reference O'Meara, Evans, Gettman and Cuda1995; Braks et al., Reference Braks, Honorio, Lounibos, Lourenco-De-Oliveira and Juliano2004; Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010). Each treatment had five replicates, except the high-density, all-A. aegypti treatments, which had three replicates, and the low-density, all-A. aegypti in O and BO treatments, which had four, due to insufficient numbers of neonate A. aegypti. Therefore, there were a total of 194 microcosms at the beginning of the experiment. We added the appropriate number of first instar larvae to microcosms within two hours of adding water to the leaf material. Microcosms were kept covered in a single 28°C incubator (Percival Co., Perry, IA, USA) with a 14:10 L:D photoperiod and checked daily for pupation. We recorded pupation and placed all pupae collected from the same microcosm on the same day into 50 ml conical tubes with a small amount of water. We checked all tubes daily for adult emergence, which was recorded. Adults were killed by freezing 48 h after emergence.

Variables measured

We measured the weight and emergence time and determined sex and species for each individual mosquito in the study (n=1834). Emergence time was calculated from the day of egg hatch to adult emergence. Weight was measured after at least 24 h in a drying oven at 45°C to the nearest μg using the same ultra-microbalance used to weigh leaves for foliar chemistry. As the experimental unit of analysis is the microcosm, we determined average weight and emergence time, and percent survival for each sex for each microcosm. Because of small starting numbers of each species in the interspecific, low-density treatments, total survival (and not sex-specific survival) was used to compare survival rates among treatments. As a measure of total mosquito productivity of a replicate, we calculated the total yield in dry weight of adult male and female mosquitoes of both species for each replicate.

Statistical analysis

We conducted all analyses in SAS 9.1.3 (SAS Corporation, Cary, NC, USA). We could not reject the hypothesis of normality for our outcome variables of C:N ratio, female weight, female days to emergence and total (male and female) percent survival. We focused our analysis on female characteristics because females are more important in determining population level effects relative to males and because males had similar responses.

Foliar chemistry

We tested the effect of leaf species on C:N ratio with a one-way ANOVA and subjected means to post-hoc comparisons after Bonferroni's correction (PROC GLM).

Effects of single leaf species

To test our first hypothesis, that different leaf species can affect the outcome of competition, we used a multivariate analysis of variance (MANOVA) model to analyze the effects of all individual leaf species (Australian pine (A), Brazilian pepper (B) and live oak (O)), density (low versus high) and competition (inter- versus intraspecific) and all interactions on total survival (males and females), female weight and female times to emergence for each mosquito species separately using type III sums of squares to account for unbalanced replication (PROC GLM). A significant competition effect means that there is a difference in the outcomes measured between inter- and intraspecific competition for that species. A significant interaction term that includes competition means that the effect of competition depends on the level of the interactive variable. We used MANOVA because multiple, potentially correlated outcomes were measured on each replicate (Scheiner & Gurevitch, Reference Scheiner and Gurevitch2001). We assessed significance through the use of Pillai's trace, a statistic robust to the assumptions of MANOVA (Scheiner & Gurevitch, Reference Scheiner and Gurevitch2001). As we were specifically interested in the effects of leaf species on the multivariate outcomes, we examined multivariate contrasts between each leaf type for each mosquito species separately. Although several previous studies on similar subjects have used an index of performance to compare responses in container mosquitoes (e.g. λ′: Juliano Reference Juliano1998), we were unable to use this approach due to the combination of non-normal distributions of our calculated λ′ and our unbalanced design. We used MANOVA to generate statistically tractable artificial variables, and not necessarily biologically meaningful, so they must be interpreted with caution.

Effects of leaf combination

We tested our second and third hypotheses, the importance of leaf mixtures to mosquito competition, both intra- and interspecifically, by comparing the effect of the number of leaf species (one, two or three), density (ten or 20 initial larvae) and competition (inter- or intraspecific) on female weight, female development time and total survival (males and females) by MANOVA (PROC GLM), following an analytical methodology similar to Smith & Bradford (Reference Smith and Bradford2003). As in the single species analysis, we assessed significance with Pillai's trace. As the experimental design includes all single leaf species and possible combinations of leaf species, the average values of the outcomes at each level of species number (one, two or three leaf species) should be identical if there is no synergy or antagonism when leaf resources are combined. After a significant leaf species number term, post-hoc tests contrasting the global, multivariate means of one versus two versus three species treatments would demonstrate if leaf combination differed generally from the assumption of additivity in one direction (synergistic or antagonistic interactions between leaf species when in combination). However, if the combination of leaf species was neutral or idiosyncratically non-additive, this first approach may not result in a significant leaf species number term, or may obscure the actual direction of responses. Therefore, our second approach was to determine the direction and magnitude of deviation from strict additivity by performing contrasts between each leaf combination and the mean response to each individual leaf species for the univariate outcomes of mean survival (male and female), female weight and female days to emergence. We used a generalized linear model with leaf combination (A, B, O, AB, AO, BO, ABO) as the only factor and contrasted each combined leaf treatment to the mean of the constituent leaves (e.g. AB was contrasted to the mean of A and B). Based upon many studies of density dependence in mosquitoes (Gilpin et al., Reference Gilpin, McClelland and Pearson1976; Juliano, Reference Juliano2007, Reference Juliano2009), we assume that a synergistic response would result in higher larval survival to adult, larger adults, and shorter larval development time, while an antagonistic result would have lower survival, smaller adults and longer development time. An additive (neutral) response would result in a significant contrast.

Effects of leaf combination on total mosquito yield

We also tested the effects of leaf combination on total mosquito biomass yield, which is a further test of our second and third hypotheses. To examine this, we summed the total adult male and female body mass of both species from each replicate. As we were not able to measure the amount of mass lost as dead larvae and larval or pupal casts, we avoid the term biomass in favor of yield to denote the amount of insect biomass leaving the container microcosm. We then compared this variable, for which we could not reject the null hypothesis of normality, among different levels of leaf species number, initial larval density and whether competition was intraspecific for each species or interspecific (three levels: all A. aegypti, all A. albopictus or interspecific) with a general linear model ANOVA (PROC GLM). Post-hoc differences between means were assessed using the Tukey-Kramer method.

Results

Foliar chemistry of leaves

The three leaf species had different ratios of carbon to nitrogen (average values of ten leaves: Australian pine: 1.019% N, 49.623% C, C:N ratio=50.2; Brazilian pepper: 0.6495% N, 49.985% C, C:N ratio=79.47; live oak: 0.889% N, 48.305% C, C:N ratio=57.42; F2,27=15.77, P<0.0001). Post-hoc tests demonstrated that Brazilian pepper leaves had a significantly higher mean C:N ratio than live oak or Australian pine leaves, which did not differ.

Competition in A. albopictus with single leaf species

For A. albopictus, the main effects of density and leaf species were significant in explaining the multivariate outcomes of total survival, female weight and time to emergence, as was the interaction between leaf species and competition (table 1). Higher density microcosms produced mosquitoes of smaller size, longer development, and that had poorer survival, and had one significant canonical correlation (table 1; can1: eigenvalue=1.2839, 100% explained variation, F3,35=14.98, P<0.0001). The leaf by competition interaction term had one significant canonical correlation (table 1; can1: eigenvalue=0.8896, 88.96% explained variation, F6,70=2.45, P=0.0331). The significant interaction means that the importance of interspecific versus intraspecific competition for A. albopictus depended upon leaf species, and the standardized canonical coefficients suggest this difference is driven by differences in survival to adult and female weight (fig. 1 and table 1). In general, A. albopictus fared better when competing against A. aegypti relative to when competing against conspecifics in Australian pine, suggesting that interspecific competition was not as strong as intraspecific competition under these conditions. In Brazilian pepper, there was a trend for the reverse, such that interspecific competition was stronger than intraspecific competition, with lower survival and lighter weights when A. albopictus was competing against A. aegypti relative to when competing against conspecifics. In live oak, there was no difference between inter- and intraspecific competition. Competition, density by competition, density by leaf and the three-way interaction were not significant.

Fig. 1. Bivariate plot of A. albopictus average female weight and total proportion survival (males and females) in response to three leaf species (different shapes) by type of competition (grey versus white). Error bars are ±1 sem (△, Australian pine, intra; , Australian pine, inter; ◊, Brazilian pepper, intra; , Brazilian pepper, inter; ○, Live oak, intra; , Live oak, inter).

Table 1. MANOVA for A. albopictus average female weight, survival (males and females) and average female days to emergence by leaf species (leaf), density (dens), competition (comp) and all possible interactions. Contrasts are indented under the leaf×competition factor (inter- versus intraspecific competition in: A, Australian pine; B, Brazilian pepper; O, olive oak). Standardized canonical coefficients (SCCs) are given for significant factors.

Competition in A. aegypti with single leaf species

For A. aegypti, only the main effects of density and leaf species were significant in explaining the multivariate outcomes of total survival, female weight and time to emergence (table 2). Density had only one canonical correlation and, as in A. albopictus, higher density microcosms were associated with smaller size, longer development and poorer survival (table 2; can1: eigenvalue=0.5049, 100% explained variation, F3,29=4.88, P=0.0072). We associated leaf treatment with two significant canonical correlations (fig. 2 and table 2; can1: eigenvalue=1.2301, 62.78% explained variation F6,58=9.32, P<0.0001; can2: eigenvalue=0.7293, 37.22% explained variation, F2,30=10.94, P=0.0003). The major difference between leaf species was in female weight, with Brazilian pepper microcosms producing much heavier females than Australian pine or live oak provisioned microcosms. Individual contrasts between leaf species could not be made with Australian pine, one treatment of which failed to produce any females in any replicates (high density, intraspecific), but multivariate contrasts revealed significant differences between live oak and Brazilian pepper (B vs O: F3,29=11.06, P<0.0001). The competition factor was not significant for A. aegypti, nor were any interaction terms. Standardized canonical coefficients for both the leaf and density effects show percent survival and female weight contributed the most to the multivariate differences between leaf species and density (table 2).

Fig. 2. Bivariate plot of A. aegypti average female weight and total proportion survival (males and females) in response to three leaf species (different shapes) Error bars are ±1 sem (, Australian pine; , Brazilian pepper; , Live oak).

Table 2. MANOVA for A. aegypti of average female weight, survival (males and females) and average female days to emergence by leaf species (leaf), density (dens), competition (comp) and all possible interactions. Contrasts are indented under the leaf factor (A, Australian pine; B. Brazilian pepper; O, olive oak). NB. Contrasts with Australian pine could not be estimated because one whole treatment of Australian pine (high density, intraspecific competition) produced no females. Standardized canonical coefficients (SCCs) are given for significant factors.

Effects of leaf combination on competition

For both mosquito species, number of leaf species had a significant effect on adult weight, survival to adulthood and time to emergence, as did initial larval density (tables 3 and 4 and fig. 3a, b). In this analysis, there was no difference between inter- and intraspecific competition, nor was there a significant interaction between leaf species number and competition or density. For both species of mosquito, standardized canonical correlations demonstrated female weight and days to emergence were the most important factors for both leaf number and density effects (tables 3 and 4). Post-hoc multivariate contrasts showed one, two and three species treatments to have significantly different multivariate means for A. albopictus (table 3), and one species treatments to have significantly different multivariate means from two or three species treatments for A. aegypti (table 4). In general, two or three species in combination generated larger females in less time (compare black to grey to white symbols in fig. 3a, b).

Fig. 3. (a) Bivariate plot of A. albopictus average female weight and days to emergence in response to number of leaf species (different colors) and different density/competition combinations (different shapes). (b) Bivariate plot of A. aegypti average female weight and days to emergence in response to number of leaf species (different colors) and different density/competition combinations (different shapes). Error bars are ±1 sem.

Table 3. MANOVA for A. albopictus of average female weight, survival (males and females) and average female days to emergence by number of leaf species (SpNum), density (dens), competition (comp) and all possible interactions. Specific contrasts between numbers of leaf species are indented under the species number term. Standardized canonical coefficients (SCCs) are given for significant factors.

Table 4. MANOVA for A. aegypti of average female weight, survival (males and females) and average female days to emergence by number of leaf species (SpNum), density (dens), competition (comp) and all possible interactions. Specific contrasts between numbers of leaf species are indented under the species number term. Standardized canonical coefficients (SCCs) are given for significant factors.

Effects of leaf combination on larval outcomes

The significant effects of species number on all outcomes suggest synergy or antagonism between leaf species. The combination of all three leaf species was generally synergistic, except for percent survival for Ae. albopictus, which was additive (tables 5 and 6). The combination of Brazilian pepper and live oak had higher than expected survival for both mosquitoes and shorter days to emergence for A. aegypti. Only the combination of Australian pine and Brazilian pepper was antagonistic, with significantly lower survival than expected in A. albopictus. This combination was also synergistic with regards to weight in both species and was additive for development rate for both species and survival in A. aegypti. The other leaf combinations and outcomes for each species were not significantly different from the null hypothesis of additivity.

Table 5. ANOVA contrasts comparing responses of leaf combinations to mean responses to individual leaves for Aedes albopictus.

Table 6. ANOVA contrasts comparing responses of leaf combinations to mean responses to individual leaves for Aedes aegypti.

Leaf combinations and mosquito yield

When we examined total mosquito yield produced from each microcosm, we found a significant positive association between number of leaf species and total mosquito production, while initial larval density and competitive treatment were not significant in explaining variation in total yield (average yields: 1-species: 1.728 mg; 2-species: 2.284 mg; 3-species: 3.301 mg; ANOVA : full model F17=3.23, P<0.0001; number of leaf species: F2=17.30, P<0.0001; density: : F1=2.26, P=0.1254; competition: F2=0.52, P=0.59660). Post-hoc tests demonstrated significant differences between the three leaf species treatment and the two and one leaf species treatments.

Discussion

In this study, we addressed three hypotheses: leaf species changes the outcome of interspecific competition between A. aegypti and A. albopictus, the combination of leaves alleviate competition overall and leaf combination alters interspecific competition between these two species. Our findings partially support the first hypothesis, strongly support the second and provide no support for the final hypothesis. In addition to testing these hypotheses, the results can be used to address a more general question in these container habitats: does diverse leaf litter affect the overall productivity of these environments for mosquitoes?

We found partial support for our first hypothesis. For A. albopictus, the significant interaction between competition and leaf species suggests that the effect of intra- versus interspecific competition on growth and survival depends on leaf species. However, this trend was not strong, and weakly significant interactions in MANOVA should be interpreted conservatively (Scheiner & Gurevitch, Reference Scheiner and Gurevitch2001). The examination of the pattern of performance in intraspecific versus interspecific competition for A. albopictus on Australian pine resources suggests better performance when in competition with A. aegypti than when in competition with conspecifics, but a trend towards the opposite pattern when Brazilian pepper was the resource. The effect of competition type was not different on live oak. The foliar chemistry data suggested that Brazilian pepper leaves contribute relatively more carbon per unit nitrogen than the other two leaves, which does not correspond with Juliano's (Reference Juliano2010) general findings that high nitrogen habitats are associated with better A. aegypti performance. That being said, in general, mosquitoes did better with Brazilian pepper leaves than Australian pine and live oak (this study and Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010), which might suggest that productivity in these container habitats is limited by carbon, a result suggested for tree hole systems (Kaufman et al., Reference Kaufman, Goodfriend, Kohler-Garrigan, Walker and Klug2002). However, in many aquatic systems, nitrogen or phosphorous are more likely to limit productivity (Elser et al., Reference Elser, Marzolf and Goldman1990; Frost et al., Reference Frost, Stelzer, Lamberti and Elser2002), as is the case with most terrestrial systems (Vitousek & Howarth, Reference Vitousek and Howarth1991) and some container systems (Yee & Juliano, Reference Yee and Juliano2006). In addition, detritus-based systems in terrestrial settings may be sensitive to other nutrients, such as sodium or calcium (Kaspari et al., Reference Kaspari, Yanoviak and Dudley2008; Kaspari & Yanoviak, Reference Kaspari and Yanoviak2009). We did not measure phosphorous, calcium or sodium in these leaves, which may be more telling than the ratio of C:N. It is also possible that carbon to nitrogen ratio may not be important relative to the chemical components (e.g. secondary compounds) of the leaf material in question.

Our results suggest A. albopictus would be a superior competitor on Australian pine, and perhaps live oak leaves, but not Brazilian pepper leaves. Senesced live oak leaves have been commonly used as a resource for interspecific studies between A. aegypti and A. albopictus where they have been associated with A. albopictus superiority (Juliano, Reference Juliano1998; Braks et al., Reference Braks, Honorio, Lounibos, Lourenco-De-Oliveira and Juliano2004). Braks et al. (Reference Braks, Honorio, Lounibos, Lourenco-De-Oliveira and Juliano2004) also demonstrated A. albopictus to be a superior competitor when fed senesced avocado leaves. On the other hand, Murrell & Juliano (Reference Murrell and Juliano2008) showed that the outcome of competition between these two species can be altered by detritus type (insect carcasses, fresh cut grass, pine or oak leaves), with A. aegypti an inferior competitor on insect carcasses and pine or oak leaves, but not when provided fresh cut grass. They detected no difference in tree leaf species (pine or oak) on mosquito growth or survival for either species or for interspecific competition. Our study is the first to examine interspecific competition between these mosquitoes with leaves from common invasive species known to contribute to container habitats (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010), and the much higher growth in Brazilian pepper suggests it may provide more nutrients and therefore may favor A. aegypti as other conditions of high nutrients have (Juliano, Reference Juliano2010). Brazilian pepper, although associated with high larval survival in previous studies (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010), was associated with lower larval survival for A. albopictus and intermediate levels of survival for A. aegypti. We did not examine the secondary compounds in the leaves, nor did we analyze the microbial communities of these different leaf environments, which may provide some insight into the differences in growth and mortality between different leaves. Other researchers have noted different bacterial communities in container habitats provisioned with different leaf species, which may also contribute to the quality of the habitat (Ponnusamy et al., Reference Ponnusamy, Xu, Nojima, Wesson, Schal and Apperson2008).

We supported our second hypothesis, that leaf combination can affect density dependent reductions in growth and survival, but did not find support for our third hypothesis, that leaf combinations would affect interspecific competition more than intraspecific competition. The number of leaf species was significant in determining growth and survival, although it did not interact with density or competitive environment (intra- or interspecific competition), and therefore leaf combination did not change the outcome of competition between A. aegypti and A. albopictus. Leaf combinations were generally associated with higher survival, shorter development time and larger female adult weights than one would expect based upon the response to each leaf species, and we conclude that leaf resources usually act synergistically as a detrital base for mosquito larvae in containers.

Previous studies of the effects of mixed resources on aquatic invertebrates also found synergy, although the current results are generally stronger than observed in previous studies (Swan & Palmer, Reference Swan and Palmer2006; Reiskind et al., Reference Reiskind, Greene and Lounibos2009). It is tempting to generalize that resource diversity increases ecosystem function (in this case, the overall yield of adult mosquito biomass) from our results. However, the conclusion that leaf diversity increases the production of mosquitoes needs to be made with caution for four reasons. First, leaf species were not selected at random, but based upon their commonness in larval habitats (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010). Second, with only three leaf species, combinations are highly susceptible to the ‘selection probability effect’, wherein it is not biodiversity per se that allows increased mosquito production but the probability of selecting a species that is beneficial to the measured aspect of ecosystem function (Huston, Reference Huston1997). Indeed, Brazilian pepper appeared to be a high-quality resource, based upon previous studies (Reiskind et al., Reference Reiskind, Zarrabi and Lounibos2010), and its presence in two-thirds of the two species and the three species combinations may result in leaf combinations appearing to result in greater mosquito performance. Indeed, all significant deviations from additivity included Brazilian pepper, although they were not all synergistic. The effect of diversity on ecosystem function may indeed be probabilistic and not linear in nature, such that the selection of a highly nutritive species, and not simply the number of species, leads to increased ecosystem function. Third, there is the possibility that the synergy observed in leaf combinations is simply a function of superior performance at lower leaf levels, something we did not test. For example, it is possible that the mosquitoes would have higher survival and better growth on 0.5 g of Brazilian pepper than on 1 g. We cannot rule this interpretation out because we did not alter the total amount of leaf material per microcosm, only the composition. Finally, the effects of combined leaf resources, although on average synergistic for both mosquito species, had idiosyncratic effects depending upon mosquito species and leaf combination. The combination of all three leaf species was significantly better than additive for all outcomes for both species except percent survival for Aedes albopictus. The only antagonistic leaf combination was Australian pine and Brazilian pepper for A. albopictus survival but showed larger than expected weight gain. This same leaf combination was additive for A. aegypti survival but synergistic for A. aegypti weight. The overall pattern suggests synergy between leaf resources is common but somewhat idiosyncratic depending upon combination and mosquito species.

Some leaf litter has been noted to be toxic, and some species of mosquitoes seem to tolerate toxic leaf litter better than others (David et al., Reference David, Rey, Cuany, Amichot and Meyran2000a,b). The effects of leaf litter amount on mosquito larval performance is generally positive (Walker & Merritt, Reference Walker and Merritt1988), but a recent study using path analysis suggested that the direct effect of leaf litter on mosquito larvae may be negative, while the effect of plant material on mosquito larvae through microbial production is positive, which may suggest that the toxic properties of leaves are important (Yee et al., Reference Yee, Kaufman and Juliano2007). Toxicity of leaf material has not been explored as a contributing factor to interspecific competition between these or other larval mosquitoes. Further experiments examining individual responses to different leaf litters, along with toxicological examinations, may suggest tolerance of a toxic environment as an alternative pathway explaining the pattern of competition in mosquito larvae. Juliano's (Reference Juliano2010) meta-analysis, suggesting that A. aegypti is a superior competitor in richer environments, could also be interpreted as A. aegypti being more tolerant of toxicologically intense habitats, which correlates with enrichment. The mechanism by which ‘richer’ environments may favor one mosquito species over another remains unexplored but is worthy of investigation.

Leaf combination had a major impact on the total mosquito yield produced above that expected by the responses to individual leaf species. We conclude that diversity of resource (leaf species) increases the survival and growth of mosquito larvae of both species and, therefore, the function of the ecosystem as measured by mosquito yield. Possible mechanisms by which leaf combinations yield higher productivity could be complementary resources (sensu Greenstone, Reference Greenstone1979) but also could be due to varying speeds with which leaves degrade, which may provide a more consistent source of nutrients throughout the development period, as opposed to a pulse early or late depending on the lability of the leaf material. Questions of resource diversity may be particularly critical in these container habitats because oviposition choice may occur weeks or months before hatching in these mosquitoes (Christophers, Reference Christophers1960; Hawley, Reference Hawley1988), and mosquito larvae are primarily generalist filter feeders and browsers (Merritt et al., Reference Merritt, Dadd and Walker1992). Acquiring a diverse diet is important in many taxa (Pyke, Reference Pyke1984; Waldbauer & Friedman, Reference Waldbauer and Friedman1991; Behmer, Reference Behmer2009), and it is reasonable to conclude that a diverse set of leaves may benefit the mosquito larvae considered in our study by providing more diverse nutrients or a more diverse microbial community (Ponnusamy et al., Reference Ponnusamy, Xu, Nojima, Wesson, Schal and Apperson2008). If there is a more diverse array of nutrients available within a constrained container habitat, mosquito larvae may be able to exert some degree of diet choice by altering gut transit times as some filter feeders do (e.g. Lehman, Reference Lehman1976), but this is cryptic and not well studied in mosquitoes (Dadd, Reference Dadd1970; David et al., Reference David, Tilquin, Rey, Ravanel and Meyran2003). Although our study system is simplified, we also conclude that neither initial larval density nor type of competition (intra- or interspecific) affected total mosquito yield. This result does not corroborate the conclusion that the relationship between ecosystem function and resource diversity is dependent on both resource and consumer diversity (Cardinale et al., Reference Cardinale, Bennett, Nelson and Gross2009; Srivastava et al., Reference Srivastava, Cardinale, Downing, Duffy, Jouseau, Sankaran and Wright2009), suggesting resource diversity alone can result in increased ecosystem function (in our case, yield of adult mosquito biomass) in these container habitats.

Acknowledgements

The authors wish to thank Puni Jeyasingh, Talan Klein, Susan Driver, Naoya Nishimura and Krstyle Greene for technical assistance. The authors also wish to thank Don Yee, Kris Giles and Justin Talley for editing earlier drafts of this manuscript and two anonymous reviewers for their comments. MHR and AZ are supported by the Oklahoma Agricultural Experiment Station (Hatch Projects 2702 and 2757). LPL is supported in part by NIH grant AI-044793.

References

Ball, B.A., Hunter, M.D., Kominoski, J.S., Swan, C.M. & Bradford, M.A. (2008) Consequences of non-random species loss for decomposition dynamics: experimental evidence for additive and non-additive effects. Journal of Ecology 96, 303313.Google Scholar
Barrera, R. (1996) Competition and resistance to starvation in larvae of container-inhabiting Aedes mosquitoes. Ecological Entomology 21, 117127.CrossRefGoogle Scholar
Barrera, R., Amador, M. & Clark, G.G. (2006) Ecological factors influencing Aedes aegypti (Diptera : Culicidae) productivity in artificial containers in Salinas, Puerto Rico. Journal of Medical Entomology 43, 484492.Google Scholar
Behmer, S.T. (2009) Insect herbivore nutrient regulation. Annual Review of Entomology 54, 165187.Google Scholar
Behmer, S.T. & Joern, A. (2008) Coexisting generalist herbivores occupy unique nutritional feeding niches. Proceedings of the National Academy of Sciences of the United States of America 105, 19771982.Google Scholar
Braks, M.A.H., Honorio, N.A., Lounibos, L.P., Lourenco-De-Oliveira, R. & Juliano, S.A. (2004) Interspecific competition between two invasive species of container mosquitoes, Aedes aegypti and Aedes albopictus (Diptera: Culicidae), in Brazil. Annals of the Entomological Society of America 97, 130139.Google Scholar
Cardinale, B.J., Bennett, D.M., Nelson, C.E. & Gross, K. (2009) Does productivity drive diversity or vice versa? A test of the multivariate productivity-diversity hypothesis in streams. Ecology 90, 12271241.CrossRefGoogle ScholarPubMed
Christophers, S.R. (1960) Aëdes aegypti (L.). The Yellow Fever Mosquito; Its Life History, Bionomics, and Structure. Cambridge, UK, University Press.Google Scholar
Dadd, R.H. (1970) Relationship between filtering activity and ingestion of solids by larvae of mosquito Culex-pipiens: a method for assessing phagostimulant factors. Journal of Medical Entomology 7, 708712.Google Scholar
Daugherty, M.P., Alto, B.W. & Juliano, S.A. (2000) Invertebrate carcasses as a resource for competing Aedes albopictus and Aedes aegypti (Diptera: Culicidae). Journal of Medical Entomology 37, 364372.CrossRefGoogle ScholarPubMed
David, J.P., Rey, D., Cuany, A., Amichot, M. & Meyran, J.C. (2000a) Comparative ability to detoxify alder leaf litter in field larval mosquito collections. Archives of Insect Biochemistry and Physiology 44, 143150.Google Scholar
David, J.P., Rey, D., Pautou, M.P. & Meyran, J.C. (2000b) Differential toxicity of leaf litter to dipteran larvae of mosquito developmental sites. Journal of Invertebrate Pathology 75, 918.Google Scholar
David, J.P., Tilquin, M., Rey, D., Ravanel, P. & Meyran, J.C. (2003) Mosquito larval consumption of toxic arborescent leaf-litter, and its biocontrol potential. Medical and Veterinary Entomology 17, 151157.Google Scholar
Dieng, H., Mwandawiro, C., Boots, M., Morales, R., Satho, T., Tuno, N., Tsuda, Y. & Takagi, M. (2002) Leaf litter decay process and the growth performance of Aedes albopictus larvae (Diptera: Culicidae). Journal of Vector Ecology 27, 3138.Google Scholar
Elser, J.J., Marzolf, E.R. & Goldman, C.R. (1990) Phosphorus and nitrogen limitation of phytoplankton growth in the fresh-waters of north-america: a review and critique of experimental enrichments. Canadian Journal of Fisheries and Aquatic Sciences 47, 14681477.Google Scholar
Eubanks, M.D. & Denno, R.F. (1999) The ecological consequences of variation in plants and prey for an omnivorous insect. Ecology 80, 12531266.CrossRefGoogle Scholar
Fish, D. & Carpenter, S.R. (1982) Leaf litter and larval mosquito dynamics in tree-hole ecosystems. Ecology 63, 283288.CrossRefGoogle Scholar
Frost, P.C., Stelzer, R.S., Lamberti, G.A. & Elser, J.J. (2002) Ecological stoichiometry of trophic interactions in the benthos: understanding the role of C:N:P ratios in lentic and lotic habitats. Journal of the North American Benthological Society 21, 515528.Google Scholar
Gilpin, M.E., McClelland, G.A.H. & Pearson, J.W. (1976) Space, time, and stability of laboratory mosquito populations. American Naturalist 110, 11071111.CrossRefGoogle Scholar
Greenstone, M.H. (1979) Spider feeding-behavior optimizes dietary essential amino-acid composition. Nature 282, 501503.Google Scholar
Hattenschwiler, S., Tiunov, A.V. & Scheu, S. (2005) Biodiversity and litter decomposition interrestrial ecosystems. Annual Review of Ecology Evolution and Systematics 36, 191218.Google Scholar
Hawley, W. (1988) The biology of Aedes albopictus. Journal of the American Mosquito Control Association Supplement 1, 140.Google Scholar
Huston, M.A. (1997) Hidden treatments in ecological experiments: re-evaluating the ecosystem function of biodiversity. Oecologia 110, 449460.CrossRefGoogle ScholarPubMed
Hutchinson, G.E. (1959) Homage to Santa-Rosalia or why are there so many kinds of animals. American Naturalist 93, 145159.Google Scholar
Inouye, B.D. (2001) Response surface experimental designs for investigating interspecific competition. Ecology 82, 26962706.Google Scholar
Juliano, S.A. (1998) Species introduction and replacement among mosquitoes: Interspecific resource competition or apparent competition? Ecology 79, 255268.CrossRefGoogle Scholar
Juliano, S.A. (2007) Population dynamics. Journal of the American Mosquito Control Association 23, 265275.Google Scholar
Juliano, S.A. (2009) Species interactions among larval mosquitoes: context dependence across habitat gradients. Annual Review of Entomology 54, 3756.Google Scholar
Juliano, S.A. (2010) Coexistence, exclusion, or neutrality? A meta-analysis of competition between Aedes albopictus and resident mosquitoes. Israeli Journal of Ecology and Evolution 56, 325361.CrossRefGoogle ScholarPubMed
Kaspari, M. & Yanoviak, S.P. (2009) Biogeochemistry and the structure of tropical brown food webs. Ecology 90, 33423351.CrossRefGoogle ScholarPubMed
Kaspari, M., Yanoviak, S.P. & Dudley, R. (2008) On the biogeography of salt limitation: a study of ant communities. Proceedings of the National Academy of Sciences of the United States of America 105, 1784817851.Google Scholar
Kaufman, M.G., Goodfriend, W., Kohler-Garrigan, A., Walker, E.D. & Klug, M.J. (2002) Soluble nutrient effects on microbial communities and mosquito production in Ochlerotatus triseriatus habitats. Aquatic Microbial Ecology 29, 7388.Google Scholar
Lehman, J.T. (1976) Filter-feeder as an optimal forager, and predicted shapes of feeding curves. Limnology and Oceanography 21, 501516.Google Scholar
Loreau, M., Naeem, S., Inchausti, P., Bengtsson, J., Grime, J.P., Hector, A., Hooper, D.U., Huston, M.A., Raffaelli, D., Schmid, B., Tilman, D. & Wardle, D.A. (2001) Ecology – Biodiversity and ecosystem functioning: current knowledge and future challenges. Science 294, 804808.Google Scholar
Merritt, R.W., Dadd, R.H. & Walker, E.D. (1992) Feeding-behavior, natural food, and nutritional relationships of larval mosquitos. Annual Review of Entomology 37, 349376.Google Scholar
Mittelbach, G.G., Steiner, C.F., Scheiner, S.M., Gross, K.L., Reynolds, H.L., Waide, R.B., Willig, M.R., Dodson, S.I. & Gough, L. (2001) What is the observed relationship between species richness and productivity? Ecology 82, 23812396.CrossRefGoogle Scholar
Murrell, E.G. & Juliano, S.A. (2008) Detritus type alters the outcome of interspecific competition between Aedes aegypti and Aedes albopictus (Diptera: Culicidae). Journal of Medical Entomology 45, 375383.Google Scholar
O'Meara, G.F., Evans, L.F., Gettman, A.D. & Cuda, J.P. (1995) Spread of Aedes-albopictus and decline of Aedes-aegypti (Diptera, Culicidae) in Florida. Journal of Medical Entomology 32, 554562.CrossRefGoogle ScholarPubMed
Ponnusamy, L., Xu, N., Nojima, S., Wesson, D.M., Schal, C. & Apperson, C.S. (2008) Identification of bacteria and bacteria-associated chemical cues that mediate oviposition site preferences by Aedes aegypti. Proceedings of the National Academy of Sciences of the United States of America 105, 92629267.CrossRefGoogle ScholarPubMed
Pyke, G.H. (1984) Optimal foraging theory: a critical-review. Annual Review of Ecology and Systematics 15, 523575.Google Scholar
Reiskind, M.H., Greene, K.L. & Lounibos, L.P. (2009) Leaf species identity and combination affect performance and oviposition choice of two container mosquito species. Ecological Entomology 34, 447456.Google Scholar
Reiskind, M.H., Zarrabi, A.A. & Lounibos, L.P. (2010) Invasive leaf resources alleviate density dependence in the invasive mosquito, Aedes albopictus. Biological Invasions 12, 23192328.CrossRefGoogle ScholarPubMed
Scheiner, S.M. & Gurevitch, J. (2001) Design and Analysis of Ecological Experiments. 2nd edn.Oxford, UK, Oxford University Press.Google Scholar
Smith, V.C. & Bradford, M.A. (2003) Do non-additive effects on decomposition in litter-mix experiments result from differences in resource quality between litters? Oikos 102, 235242.Google Scholar
Sota, T. (1993) Performance of Aedes-albopictus and A-riversi larvae (Diptera, Culicidae) in waters that contain tannic-acid and decaying leaves: is the treehole species better adapted to treehole water. Annals of the Entomological Society of America 86, 450457.CrossRefGoogle Scholar
Srivastava, D.S., Cardinale, B.J., Downing, A.L., Duffy, J.E., Jouseau, C., Sankaran, M. & Wright, J.P. (2009) Diversity has stronger top-down than bottom-up effects on decomposition. Ecology 90, 10731083.Google Scholar
Swan, C.M. & Palmer, M.A. (2006) Composition of speciose leaf litter alters stream detritivore growth, feeding activity and leaf breakdown. Oecologia 147, 469478.Google Scholar
Swan, C.M., Gluth, M.A. & Horne, C.L. (2009) Leaf litter species evenness influences nonadditive breakdown in a headwater stream. Ecology 90, 16501658.Google Scholar
Tilman, D. (1980) Resources: a graphical-mechanistic approach to competition and predation. American Naturalist 116, 362393.CrossRefGoogle Scholar
Tilman, D., Wedin, D. & Knops, J. (1996) Productivity and sustainability influenced by biodiversity in grassland ecosystems. Nature 379, 718720.CrossRefGoogle Scholar
Vitousek, P.M. & Howarth, R.W. (1991) Nitrogen limitation on land and in the sea: how can it occur? Biogeochemistry 13, 87115.CrossRefGoogle Scholar
Waldbauer, G.P. & Friedman, S. (1991) Self-selection of optimal diets by insects. Annual Review of Entomology 36, 4363.CrossRefGoogle Scholar
Walker, E.D. & Merritt, R.W. (1988) The significance of leaf detritus to mosquito (diptera, culicidae) productivity from treeholes. Environmental Entomology 17, 199206.CrossRefGoogle Scholar
Walker, E.D., Olds, E.J. & Merritt, R.W. (1988) Gut content-analysis of mosquito larvae (Diptera, Culicidae) using dapi stain and epifluorescence microscopy. Journal of Medical Entomology 25, 551554.Google Scholar
Walker, E.D., Lawson, D.L., Merritt, R.W., Morgan, W.T. & Klug, M.J. (1991) Nutrient dynamics, bacterial-populations, and mosquito productivity in tree hole ecosystems and microcosms. Ecology 72, 15291546.Google Scholar
Yanoviak, S.P. (1999) Effects of leaf litter species on macroinvertebrate community properties and mosquito yield in Neotropical tree hole microcosms. Oecologia 120, 147155.Google Scholar
Yee, D.A. & Juliano, S.A. (2006) Consequences of detritus type in an aquatic microsystem: effects on water quality, micro-organisms and performance of the dominant consumer. Freshwater Biology 51, 448459.Google Scholar
Yee, D.A., Kaufman, M.G. & Juliano, S.A. (2007) The significance of ratios of detritus types and micro-organism productivity to competitive interactions between aquatic insect detritivores. Journal of Animal Ecology 76, 11051115.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Bivariate plot of A. albopictus average female weight and total proportion survival (males and females) in response to three leaf species (different shapes) by type of competition (grey versus white). Error bars are ±1 sem (△, Australian pine, intra; , Australian pine, inter; ◊, Brazilian pepper, intra; , Brazilian pepper, inter; ○, Live oak, intra; , Live oak, inter).

Figure 1

Table 1. MANOVA for A. albopictus average female weight, survival (males and females) and average female days to emergence by leaf species (leaf), density (dens), competition (comp) and all possible interactions. Contrasts are indented under the leaf×competition factor (inter- versus intraspecific competition in: A, Australian pine; B, Brazilian pepper; O, olive oak). Standardized canonical coefficients (SCCs) are given for significant factors.

Figure 2

Fig. 2. Bivariate plot of A. aegypti average female weight and total proportion survival (males and females) in response to three leaf species (different shapes) Error bars are ±1 sem (, Australian pine; , Brazilian pepper; , Live oak).

Figure 3

Table 2. MANOVA for A. aegypti of average female weight, survival (males and females) and average female days to emergence by leaf species (leaf), density (dens), competition (comp) and all possible interactions. Contrasts are indented under the leaf factor (A, Australian pine; B. Brazilian pepper; O, olive oak). NB. Contrasts with Australian pine could not be estimated because one whole treatment of Australian pine (high density, intraspecific competition) produced no females. Standardized canonical coefficients (SCCs) are given for significant factors.

Figure 4

Fig. 3. (a) Bivariate plot of A. albopictus average female weight and days to emergence in response to number of leaf species (different colors) and different density/competition combinations (different shapes). (b) Bivariate plot of A. aegypti average female weight and days to emergence in response to number of leaf species (different colors) and different density/competition combinations (different shapes). Error bars are ±1 sem.

Figure 5

Table 3. MANOVA for A. albopictus of average female weight, survival (males and females) and average female days to emergence by number of leaf species (SpNum), density (dens), competition (comp) and all possible interactions. Specific contrasts between numbers of leaf species are indented under the species number term. Standardized canonical coefficients (SCCs) are given for significant factors.

Figure 6

Table 4. MANOVA for A. aegypti of average female weight, survival (males and females) and average female days to emergence by number of leaf species (SpNum), density (dens), competition (comp) and all possible interactions. Specific contrasts between numbers of leaf species are indented under the species number term. Standardized canonical coefficients (SCCs) are given for significant factors.

Figure 7

Table 5. ANOVA contrasts comparing responses of leaf combinations to mean responses to individual leaves for Aedes albopictus.

Figure 8

Table 6. ANOVA contrasts comparing responses of leaf combinations to mean responses to individual leaves for Aedes aegypti.