Abstract
BACKGROUND
Urban leaf litter accumulating in water‐filled containers may function as either a resource or a stressor for Aedes aegypti larvae, yet the chemical and botanical drivers of these contrasting effects remain poorly understood. We combined untargeted metabolite profiling with factorial life‐history bioassays to examine how leachates from two dominant street trees, Tipuana tipu and Handroanthus heptaphyllus, influence mosquito life story. First‐instar larvae were exposed to 25%, 50% or 100% leachate aged 7 or 14 days.
RESULTS
The T. tipu leachates were defined by persistent oxalic acid (cyclohexyl hexyl ester) and condensed tannins over 14 days of decay, whereas H. heptaphyllus rapidly lost most phenolics within the first week, shifting to profiles dominated by short‐chain alkenes. At 25% dilution, T. tipu reduced mortality to 7% and produced adults with greater wing lengths than controls. However, mortality was >90% in the 50% and 100% T. tipu treatments, independent of leachate age. By contrast, H. heptaphyllus never produced mortality > 16% across all concentration–age combinations. Adult body size responded nonlinearly, with 100% T. tipu aged 14 days generated the smallest adults, whereas the largest adults emerged from 25% T. tipu.
CONCLUSION
These results indicate that T. tipu can shift from a nutritional subsidy to a potent chemical stressor depending on concentration and aging, whereas H. heptaphyllus exerts consistently mild effects. Urban leaf litter therefore represents an overlooked but influential driver of mosquito performance in city environments. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Keywords: allelopathy, phenotypic plasticity, urban ecology, integrated pest management, secondary metabolites
Chemical profiling and bioassays reveal that leaf‐litter leachates from urban trees flip between nourishing and killing Aedes aegypti larvae: dilute Tipuana tipu boosts growth, whereas concentrated, aged extracts are >90% lethal. Species‐specific chemistry thus turns street trees into potential self‐renewing tools for integrated vector control.

1. INTRODUCTION
Arboviral diseases vectored by Aedes (Stegomyia) aegypti Linnaeus, 1762 continue to intensify as global public health threats, driven in large part by the species' remarkable ecological alignment with urban environments. 1 Originally endemic to sub‐Saharan Africa, A. aegypti has evolved to exploit the anthropogenic matrix of water‐filled receptacles and high‐density human populations that define contemporary cities. 1 , 2 Structural inequities, including chronic sanitation deficits and pervasive socio‐economic vulnerability, expand this ecological niche by sustaining litter capable of retaining water and constraining the operational reach of vector control programs, thereby amplifying urban infestation. 1 , 2 , 3 Females oviposit desiccation‐resistant eggs just above the waterline; subsequent inundation cues synchronous larval emergence. 3 , 4
Once submerged, A. aegypti larvae rely primarily on microbial biofilms and particulate organic matter as nutritional substrates. 4 , 5 These resources, however, are inherently limited, imposing strong density‐dependent constraints that decelerate growth 6 , extend developmental timelines and increase larval mortality. 7 Nutritional quality during larval stages emerges as a central driver of adult phenotype: cohorts with abundant resources yield larger, longer‐lived and more fecund adults, 8 whereas dietary restriction may elevates fluctuating asymmetry, an established proxy for developmental instability. 9 Environmental factors such as temperature, larval crowding and chemical signaling further modulate these dynamics, yet the mechanistic intersections among these cues remain incompletely understood. 10 , 11 , 12
Chemical insecticides remain central to A. aegypti control strategies, yet their sustained application has accelerated the evolution of both metabolic and target‐site resistance, while concurrently raising ecological and human health concerns. 13 , 14 , 15 By contrast, plant‐derived secondary metabolites present a promising, biologically grounded alternative. 9 , 16 , 17 These compounds may act across multiple physiological pathways, exerting diffuse and nonspecific selective pressures that reduce the likelihood of resistance development. 15 , 16 Additionally, they are typically characterized by low vertebrate toxicity and rapid environmental degradation. 18 Among these, leaf‐litter leachates are particularly compelling: 9 , 19 as senescent foliage undergoes microbial decomposition, 20 , 21 hydrophilic and semi‐polar allelochemicals leach into the water column, generating a chemically complex milieu capable of eliciting both lethal and sublethal effects in mosquito larvae. 9 , 19
Litter inputs into urban containers are shaped by local street‐tree composition. In Chapecó, Santa Catarina (Brazil), the Urban Greening Plan documents a striking dominance of Tipuana tipu (Fabaceae; 23% of street trees) and Handroanthus heptaphyllus (Bignoniaceae; 13%). 22 T. tipu foliage is notably rich in tannins and produces extracts with demonstrated antibacterial and antioxidant activity, 23 whereas bark and wood of H. heptaphyllus exhibit a range of bioactivities, including antibacterial, anti‐inflammatory and antitumor effects. 24 Despite these well‐characterized pharmacological properties, the larvicidal potential of their foliar leachates against A. aegypti remains unquantified. Given their prevalence in the urban landscape, these species represent a continuous, embedded source of bioactive detritus with untapped potential for integrative vector control.
The fast‐growing leguminous tree T. tipu (Benth.) O. Kuntze (Fabaceae), native to northern Argentina and southern Bolivia, is widely cultivated along urban thoroughfares in southern and southeastern Brazil owing to its expansive canopy and ornamental appeal. Beyond its landscaping value, T. tipu has a well‐documented ethnobotanical history, traditionally employed as a laxative and astringent, uses largely attributed to its elevated tannin content. 23 H. heptaphyllus (Vell.) Mattos (Bignoniaceae), commonly known as purple ipê, occurs across Bolivia, Paraguay and at least 10 Brazilian states, including Santa Catarina. The species is widely recognized in traditional medicine for treating gastrointestinal ailments, and pharmacological studies have corroborated its antibacterial, anti‐inflammatory and antitumor properties, particularly in bark and wood extracts. 24
Here, we test the hypothesis that leaf‐litter leachates from T. tipu and H. heptaphyllus modulate A. aegypti life‐history traits in a species‐, concentration‐ and time‐dependent manner, reflecting dynamic shifts in chemical composition during leaf litter decomposition. We specifically predict that variation in leaching duration and solute concentration will differentially, in a context‐dependent, influence larval survival, developmental timing, adult body size and wing symmetry. To address this, our objective was to: (i) characterize the metabolite profiles of T. tipu and H. heptaphyllus leachates across defined leaching intervals and concentrations, and (ii) quantify their impacts on mortality, ontogenetic progression and morphological traits in A. aegypti. By directly linking species‐specific litter chemistry to mosquito fitness outcomes, our findings aim to inform urban landscape design and identify context‐dependent botanical resources for integration into ecologically grounded vector control strategies.
2. MATERIAL AND METHODS
2.1. Study site and insect colony
All experiments were conducted under controlled climatic conditions (27 ± 2 °C, 70–80% relative humidity (RH), 12 h:12 h, light: dark photoperiod) in the Ecological Entomology Laboratory (LABENT‐Eco) at the Community University of the Chapecó Region (Unochapecó), Chapecó, Santa Catarina, Brazil (27° 06′ S, 52° 37′ W; Köppen‐Geiger classification: Cfa). The A. aegypti colony was established in 2018 and is refreshed annually with field‐collected adults to maintain genetic heterogeneity; no artificial selection is imposed. Eggs were stimulated to hatch by submerging oviposition papers in 1 L water contained in 2‐L glass beakers. First‐instar larvae were collected within 24 h postimmersion; diapause occurrence was not quantified. Stock cultures were maintained in plastic trays (40 × 30 × 6 cm) containing 500–600 larvae and held under identical abiotic conditions throughout the experimental period.
2.2. Plant material and leachate preparation
Tree inventory data were obtained from the municipal ‘Plano de Arborização Urbana de Chapecó’ 22 which conducted a street‐tree census of the urban zones in Chapecó in July 2019 (c. 4853 trees). Senescent leaves of T. tipu (Fabaceae) and H. heptaphyllus (Bignoniaceae) were collected in June 2024 from two urban locations in Chapecó, Brazil (T. tipu: General Osório Avenue; H. heptaphyllus: Palmitos Street). Voucher specimens were deposited in the UNO Herbarium under accession nos UNO‐Tt24 and UNO‐Hh24. Collected leaves were rinsed with distilled water to remove surface litter, air‐dried at 25 °C for constant weight. For each species, 30 g leaf litter were immersed in 1 L distilled water within sealed 2‐L Erlenmeyer flasks and incubated at 20 °C under a 16 h:8 h, light: dark photoperiod for either 7 or 14 days without agitation (protocol modified from Beleza et al., 2019). Leachates were subsequently filtered through Whatman No. 1 paper and refrigerated at 4 °C for ≤24 h before experimental use.
2.3. Experimental design
Experimental treatments were organized into two independent sets. Set A comprised five treatments with 10 replicates each (n = 50): (i) control with distilled water and standard larval food only; (ii) T. tipu leachate aged 7 days (D7) at 25% concentration; (iii) D14 T. tipu leachate at 25%; (iv) D7 H. heptaphyllus leachate at 25%; and (v) D14 H. heptaphyllus leachate at 25% [Fig. 1(a)]. Set B comprised nine treatments, also with 10 replicates each (n = 90): (i) control; (ii) D7 T. tipu leachate at 50%; (iii) D7 T. tipu leachate at 100%; (iv) D14 T. tipu leachate at 50%; (v) D14 T. tipu at 100%; (vi) D7 H. heptaphyllus leachate at 50%; (vii) D7 H. heptaphyllus leachate at 100%; (viii) D14 H. heptaphyllus leachate at 50%; and (ix) D14 H. heptaphyllus leachate at 100% [Fig. 1(b)]. Each replicate consisted of 10 1st‐instar A. aegypti larvae introduced into 30 mL treatment solution, yielding a density of 0.33 larvae mL−1.
Figure 1.

Experimental design of microcosm assays testing the interactive effects of litter species, leaching duration and leachate concentration on A. aegypti life‐history traits.
2.4. Microcosm medium and larval husbandry
A basal diet solution was freshly prepared for each trial by dissolving 0.30 g L−1 of Spirulina powder (Alcon, Camboriú, Brazil) in distilled water, 7 weighed on a precision analytical balance (model SKU‐M, 0.0001 g resolution; Bel Engineering, Monza, Italy) and homogenized by stirring for 3 min. Treatment media were prepared by replacing the corresponding volume of distilled water with leaf leachate (25%, 50% or 100% v/v) and adding the diet solution to a final volume of 30 mL. Spirulina was added at the same final concentration to all treatments to maintain a common baseline food level. 7 This approach prevents starvation effects and ensures that differences across treatments reflect leaf‐litter chemistry and its interactions with microbial dynamics, rather than variation in nutritional availability per se.
Microcosms were inspected daily. Dead larvae and pupae were removed and counted, and pupal exuviae were retained to estimate developmental timing. Upon emergence, adults were aspirated into mesh‐covered holding cups, chilled at 4 °C for 2 min, and sexed under a stereomicroscope (Stemi 508, ×40 magnification; Zeiss, Jena, Germany). Both wings were detached, mounted in Hoyer's medium, and measured from the proximal notch to the distal tip using an ocular micrometer (0.01‐mm precision). Mean wing length was used as a proxy for adult body size, while fluctuating asymmetry (FA) was calculated as the absolute difference between left and right wing lengths (|L – R|).
2.5. Chemical characterization of leachates
For the extraction of compounds present in the leachate of H. heptaphyllus and T. tipu 7 and 14 days, the solid phase extraction (SPE) technique, eluted with 5 mL f methanol, was employed using Chromabond C18 cartridges (500 mg, 6 mL; machery‐Nagel, Düren, Germany) in the 12‐position ROTI®XBond system, coupled to a KNF N 816.3, N816.3KT diaphragm vacuum pump. During this process, the compounds were adsorbed onto the cartridges, whereas the aqueous phase was discarded. The adsorbed compounds were then eluted with 5 mL methanol to ensure complete transfer of the analytes from the cartridge to the eluent. As a result, the analytes extracted from the water samples were pre‐concentrated 200‐fold to increase their detection. The eluted samples were placed in 1.5‐mL vials, labeled, and subjected to gas chromatography‐mass spectrometry (GC–MS) analysis.
Volatile and semi‐volatile constituents of leaf leachates were analyzed using an 7890B gas chromatograph coupled to a 5977A quadrupole mass spectrometer (Agilent Technologies, Santa Clara, CA, USA), equipped with an HP‐5 MS capillary column (30 m × 0.25 mm × 0.25 μm). Helium was used as the carrier gas at a flow rate of 1.2 mL min−1. The oven temperature was programmed as follows: initial hold at 40 °C for 2 min, ramped to 200 °C at 5 °C min−1, then to 300 °C at 10 °C min−1, with a final hold of 3 min. The ion source temperature was set at 230 °C, transfer line at 250 °C, and electron ionization was performed at 70 eV, scanning a mass range of 40–400 m/z. Compound identifications are based on spectral matching (≥80%) against the NIST 17 library and should be interpreted as provisional annotations, not definitive structural identifications. Total phenolic content and condensed tannins were quantified colorimetrically using a 96‐well UV‐visible microplate reader. Phenolics were assessed via the Folin–Ciocalteu assay, 25 and tannins via the vanillin‐HCl method.
2.6. Statistical analyses
All statistical analyses were performed in R v4.1.3. For Set A, two‐way generalized linear mixed‐effects models (GLMMs) were fitted using the glmer function (lme4 v1.1–32), with fixed effects for species (T. tipu, H. heptaphyllus, control) and leaching time (7 versus 14 days). 26 Set B was analyzed using three‐way GLMMs, incorporating leachate concentration (50% versus 100%) as an additional fixed factor. Response variables included larval mortality (%), days to adult emergence, mean wing length and fluctuating asymmetry (FA). Random intercepts for microcosm ID and sex accounted for nonindependence of repeated measures within containers. 26
Error distributions were selected based on diagnostic half‐normal plots (hnp package), 27 and quasi‐likelihood corrections were applied when overdispersion or underdispersion was detected. Gaussian error structures were used for mortality, development time and wing length, whereas FA was modeled with a Poisson distribution. Significance of fixed effects was evaluated via likelihood ratio tests comparing full and nested models (χ2). Post hoc pairwise comparisons were adjusted using Tukey's honestly significant difference (HSD) implemented in the emmeans package. 26 Residual diagnostics confirmed assumptions of homoscedasticity and normality where applicable.
3. RESULTS
3.1. Chemical fingerprint of leaf‐litter leachates
The GC–MS analysis resolved 26 compounds exceeding 2% of the total ion chromatogram in at least one of the four leachate types. Of these, 10 compounds were unique to H. heptaphyllus and 14 (days of leaf leaching) to T. tipu (Table 1). In H. heptaphyllus, the D7 leachate (7 days of leaf leaching) was dominated by branched‐chain alkenes, particularly 2‐pentene, 2,3‐dimethyl‐ (9.79%) and 1‐pentene, 3‐ethyl‐3‐methyl‐ (8.93%). By D14 (14 days of leaf leaching), these volatiles had largely been supplanted by higher molecular weight compounds, including 2‐pentene, 4,4‐dimethyl‐ (14.47%) and the methoxy ester of 4‐pentenoic acid (8.32%), suggesting a temporal shift from short‐chain hydrocarbons to more oxidized derivatives.
Table 1.
Area (%) of tentatively annotated volatile and semi‐volatile compounds, retention times (RT) and Kovats retention indices (RI) detected in D7 and D14 leachates of H. heptaphyllus and T. tipu by GC/MS.
| Compound | RT | RI Kovats | H. heptaphyllus | T. tipu | ||
|---|---|---|---|---|---|---|
| D7 | D14 | D7 | D14 | |||
| 2‐Pentene, 2,3‐dimethyl‐ | 3154 | 800.5 | 9.79 | – | – | – |
| 1‐Pentene, 3‐ethyl‐3methyl | 3282 | 810.9 | 8.93 | – | – | – |
| 4‐Pentanoic acid, 2‐methoxy‐, methyl ester | 3328 | 814.7 | 8.87 | 8.32 | – | – |
| 2‐Hexene, 4,4,5‐trimethyl‐ | 3365 | 817.7 | 8.59 | – | – | – |
| 1,5‐Heptadiene‐3,4‐diol, 2,5‐dimethyl | 4037 | 872.6 | 6.53 | – | – | – |
| Oxalic acid, cyclohexyl hexyl esther | 3756 | 849.6 | 6.21 | 5.35 | – | 10.98 |
| 2‐Pentene, 4,4‐dimethyl | 3799 | 853.1 | 5.69 | 14.47 | – | – |
| 1‐Butene, 2,3,3‐trimethyl‐ | 3878 | 859.6 | 5.27 | 5.25 | – | 4.37 |
| 1,5‐Heptadien‐4‐one, 3,3,6‐trimethyl‐ | 3521 | 830.4 | 4.46 | 4.34 | – | – |
| 1‐Propene, 3,3‐diethoxy‐ | 3353 | 816.7 | – | 8.24 | – | – |
| 2,3,3‐Trimethyl‐, 1‐hexene | 3398 | 820.4 | – | 8.27 | – | – |
| 2,6‐ Octadiene, 2,4‐dimethyl‐ | 4071 | 875.3 | – | 6.72 | – | – |
| 3,5‐ Hexadien‐2‐ol | 2933 | NA | – | – | 6.77 | – |
| Cyclopropanecarboxylic acid, cyclohexylmethyl ester | 3379 | 818.9 | – | – | 2.90 | – |
| 2‐Hexen‐1‐ol, 2‐ethyl‐ | 3523 | 830.6 | – | – | 2.01 | – |
| 3‐Methyl‐2‐butanoic acid, 4‐methylpenthyl ester | 3847 | 857.1 | – | – | 2.63 | – |
| Cyclohexanemethanol | 4042 | 873.0 | – | – | 8.68 | 7.57 |
| 2,4‐Pentadien‐1‐ol, 3‐propyl‐, (2Z)‐ | 4583 | 915.9 | – | – | 2.28 | – |
| 3,9‐Epoxytricyclo(4,2,1,1(2,5)dec‐7‐en‐10‐ol, 9,10‐ dimethyl‐ | 9719 | 1297.3 | – | – | 5.14 | – |
| Cyclopropanecarboxylic acid, 2‐[[2‐[[2‐[(2‐pentylcyclopropylmethyl)cyclopropyl]methyl]cyclopropyl]methyl | 15 460 | 1802.1 | – | – | 4.16 | – |
| 1,7‐Octadiene, 2,3,3‐trimethyl‐ | 3372 | 818.3 | – | – | – | 4.80 |
| Hexanoic acid | 4328 | 896.3 | – | – | – | 4.44 |
| 4‐Methyl‐2,3‐hexadien‐1‐ol | 2932 | NA | – | – | – | 4.04 |
| 2‐Octanol, 8,8‐dimethoxy‐2,6‐dimethyl‐ | 3332 | 815.0 | – | – | – | 2.86 |
| Oxirane, 2‐methyl‐3‐propyl‐, cis‐ | 2373 | NA | – | – | – | 2.25 |
| Homosalate | 15 462 | 1802.3 | – | – | – | 2.07 |
Note: Compound identifications are based on spectral matching (≥80%) against the NIST 17 library and should be interpreted as provisional annotations, not definitive structural identifications.
By contrast, T. tipu leachates followed a markedly different chemical trajectory. Cyclohexanemethanol (8.68%) and 3,5‐hexadien‐2‐ol (6.77%) were prominent at D7, whereas oxalic acid (cyclohexyl hexyl ester) sharply increased to 10.98% at D14, with cyclohexanemethanol persisting at 7.57%. This pattern indicates a selective retention of oxygenated aliphatics and a progressive enrichment of low‐molecular‐weight organic acids over time.
Spectrophotometric assays corroborated the chromatographic divergence between species (Table 2). In H. heptaphyllus, total polyphenol concentrations declined markedly from 565 ± 49 mg L−1 at D7 to 291 ± 24 mg L−1 at D14. By contrast, Tipuana tipu exhibited a modest increase over the same period, rising from 542 ± 12 to 604 ± 62 mg L−1. The interspecific contrast was even more pronounced in condensed tannin content: T. tipu maintained concentrations approximately three‐fold higher than H. heptaphyllus at both time points (D7: 373 ± 15 versus 131 ± 14 mg L−1; D14: 402 ± 21 versus 128 ± 23 mg L−1).
Table 2.
Total polyphenols and tannins analysis of H. heptaphyllus and T. tipu
| Sample | Total polyphenols (mg L−1) | Tannins (mg L−1) |
|---|---|---|
| H. heptaphyllus (D7) | 565.5 ± 49.15 | 131.3 ± 14.11 |
| H. heptaphyllus (D14) | 290.6 ± 23.69 | 127.6 ± 23.18 |
| T. tipu (D7) | 542.0 ± 11.51 | 373.1 ± 15.00 |
| T. tipu (D14) | 603.5 ± 61.55 | 402.1 ± 21.36 |
3.2. Mosquito's life‐history traits
Larval survival exhibited species‐specific responses to leaf‐litter chemistry. In the 25% leachate screen (Set A), mortality was influenced solely by litter species [GLMM, χ2 = 19.4, P < 0.001; Table 3(a)]. Mortality in control microcosms averaged 20 ± 15%, statistically indistinguishable from the D7 and D14 leachates of H. heptaphyllus (19 ± 18% and 21 ± 17%, respectively). In sharp contrast, 25% T. tipu leachates reduced mortality to 7 ± 7% at D7 and to near‐zero levels by D14, suggesting a net nutritive effect at low concentrations (Fig. 2).
Table 3.
Two‐way factorial GLMM performed to compare the isolated effect of litter species and leaching time, and their interactive effects on life‐history traits of A. aegypti mosquito cohorts.
| GLMM | npar | AIC | BIC | LogLik | Deviance | Chisq | Df | Pr(>Chisq) | Contrast analysis |
|---|---|---|---|---|---|---|---|---|---|
| a. Mortality (%) | |||||||||
| Null | 4 | 415.7 | 423.3 | −203.8 | 407.7 | ||||
| Leaf litter | 7 | 413.2 | 426.6 | −199.6 | 399.2 | 8.46 | 3 | 0.037 | T. tipu < H. heptaphyllus = Control |
| Null | 5 | 409.6 | 419.2 | −199.8 | 399.6 | ||||
| Leaching time | 7 | 413.2 | 426.6 | −199.6 | 399.2 | 0.38 | 2 | 0.828 | |
| Null | 3 | 414.0 | 419.7 | −204.0 | 408.0 | ||||
| Interaction | 7 | 413.2 | 426.6 | −199.6 | 399.2 | 8.79 | 4 | 0.066 | |
| b. Days to emerge | |||||||||
| Null | 5 | 585.2 | 600.1 | −287.6 | 575.2 | ||||
| Leaf litter | 8 | 588.1 | 611.9 | −286.1 | 572.1 | 3.10 | 3 | 0.3769 | |
| Null | 6 | 587.2 | 605.1 | −287.6 | 575.2 | ||||
| Leaching time | 8 | 588.1 | 611.9 | −286.1 | 572.1 | 3.13 | 2 | 0.2095 | |
| Null | 4 | 599.1 | 610.9 | −295.5 | 591.1 | ||||
| Interaction | 8 | 588.1 | 611.9 | −286.1 | 572.1 | 18.96 | 4 | <0.001 | H. heptaphyllus (D14) < T. tipu (D7) = H. heptaphyllus (D7) = T. tipu (D14) < Control |
| c. Adult size (mm) | |||||||||
| Null | 5 | 165.4 | 185.6 | −77.7 | 155.4 | ||||
| Leaf litter | 8 | 154.4 | 186.7 | −69.2 | 138.4 | 17.05 | 3 | <0.001 | Control < H. heptaphyllus < T. tipu |
| Null | 6 | 152.1 | 176.4 | −70.1 | 140.1 | ||||
| Leaching time | 8 | 154.4 | 186.7 | −69.2 | 138.4 | 1.77 | 2 | 0.412 | |
| Null | 4 | 188.2 | 204.4 | −90.1 | 180.2 | ||||
| Interaction | 8 | 154.4 | 186.7 | −69.2 | 138.4 | 41.85 | 4 | <0.001 | Control < H. heptaphyllus (D7 < D14) < T. tipu (14 < 7) |
| d. Asymmetry (mm) | |||||||||
| Null | 5 | −562.9 | −542.7 | 286.5 | −572.9 | ||||
| Leaf litter | 8 | −558.1 | −525.8 | 287.0 | −574.1 | 1.16 | 3 | 0.762 | |
| Null | 6 | −556.3 | −532.0 | 284.1 | −568.3 | ||||
| Leaching time | 8 | −558.1 | −525.8 | 287.0 | −574.1 | 5.81 | 2 | 0.055 | |
| Null | 4 | −555.6 | −539.5 | 281.8 | −563.6 | ||||
| Interaction | 8 | −558.1 | −525.8 | 287.0 | −574.1 | 10.46 | 4 | <0.001 | Control = T. tipu (D7) = H. heptaphyllus (D7) < T. tipu (D14) = H. heptaphyllus (D14) |
Note: Larval mortality rate (a) considered replicates as a random effect, and days to emerge (b), adult size (c) and body asymmetry (d) considered sex and replicates as random effects. Additionally, contrast analyses to compare response variables for significant explanatory variables.
Figure 2.

Violin and box plots showing larval mortality (%) of A. aegypti in Set A as a function of (a) litter species, (b) leaching duration and (c) their interaction. Boxes, interquartile range; horizontal bars, medians; black circles, means.
When leachate concentration was varied (Set B), larval mortality was jointly governed by species identity, leaching duration, leachate strength, and their interactions [three‐way GLMM, all P < 0.01; Table 4(a)]. Full‐strength (100%) T. tipu extracts were highly toxic, inducing 99 ± 3% mortality at D7 of leaching and 92 ± 13% at D14. Even at 50% strength, T. tipu remained lethal, with 94 ± 7% mortality. By contrast, H. heptaphyllus leachates produced ≤16 ± 12% mortality across all concentration–time combinations, values statistically indistinct from the control (Fig. 3).
Table 4.
Three‐way factorial GLMM performed to compare the isolated effect of litter species, leaching time, leaching concentration and their interactive effects on life‐history traits of A. aegypti mosquito cohorts.
| GLMM | npar | AIC | BIC | LogLik | Deviance | Chisq | Df | Pr (>Chisq) |
|---|---|---|---|---|---|---|---|---|
| a. Mortality (%) | ||||||||
| Null model | 7 | 64.461 | 82.627 | −25.230 | 50.461 | |||
| Litter Species | 11 | −87.909 | −59.363 | 54.955 | −109.909 | 160.37 | 4 | <0.001 |
| Null model | 7 | −8.613 | 9.553 | 11.306 | −22.613 | |||
| Leaching Time | 11 | −87.909 | −59.363 | 54.955 | −109.909 | 87.296 | 4 | <0.001 |
| Null model | 7 | −1.696 | 16.470 | 7.848 | −15.696 | |||
| Leaching Concentration | 11 | −87.909 | −59.363 | 54.955 | −109.909 | 94.213 | 4 | <0.001 |
| Null model | 5 | 75.296 | 88.271 | −32.648 | 65.296 | |||
| Litter Species: Leaching Time | 11 | −87.909 | −59.363 | 54.955 | −109.909 | 175.21 | 6 | <0.001 |
| Null model | 4 | 77.242 | 87.622 | −34.621 | 69.242 | |||
| Litter Species: Leaching Concentration | 11 | −87.909 | −59.363 | 54.955 | −109.909 | 179.15 | 7 | <0.001 |
| Null model | 5 | 19.140 | 32.115 | −4.570 | 9.14 | |||
| Leaching Time: Leaching Concentration | 11 | −87.909 | −59.363 | 54.955 | −109.91 | 119.05 | 6 | <0.001 |
| Null model | 3 | 99.650 | 107.435 | −46.825 | 93.65 | |||
| Litter Species: Leaching Time: Leaching Conc. | 11 | −87.909 | −59.363 | 54.955 | −109.91 | 203.56 | 8 | <0.001 |
| b. Days to emerge | ||||||||
| Null model | 7 | 910.79 | 933.63 | −448.40 | 896.79 | |||
| Litter Species | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 10.821 | 4 | 0.028 |
| Null model | 7 | 907.03 | 929.87 | −446.51 | 893.03 | |||
| Leaching Time | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 7.060 | 4 | 0.133 |
| Null model | 7 | 902.61 | 925.45 | −444.30 | 888.61 | |||
| Leaching Concentration | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 2.639 | 4 | 0.619 |
| Null model | 5 | 916.75 | 933.06 | −453.37 | 906.75 | |||
| Litter Species: Leaching Time | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 20.776 | 6 | 0.002 |
| Null model | 4 | 909.58 | 922.63 | −450.79 | 901.58 | |||
| Litter Species: Leaching Concentration | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 15.611 | 7 | 0.029 |
| Null model | 5 | 903.05 | 919.37 | −446.53 | 893.05 | |||
| Leaching Time: Leaching Concentration | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 7.084 | 6 | 0.313 |
| Null model | 3 | 920.28 | 930.07 | −457.14 | 914.28 | |||
| Litter Species: Leaching Time: Leaching Conc. | 11 | 907.97 | 943.86 | −442.98 | 885.97 | 28.314 | 8 | < 0.001 |
| c. Adult size | ||||||||
| Null model | 8 | −1425.8 | −1393.4 | 720.90 | −1441.8 | |||
| Litter Species | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 8.490 | 4 | 0.075 |
| Null model | 8 | −1423.4 | −1391.0 | 719.69 | −1439.4 | |||
| Leaching Time | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 10.921 | 4 | 0.027 |
| Null model | 8 | −1420.2 | −1387.9 | 718.13 | −1436.2 | |||
| Leaching Concentration | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 14.037 | 4 | 0.007 |
| Null model | 6 | −1416.3 | −1392.0 | 714.16 | −1428.3 | |||
| Litter Species: Leaching Time | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 21.974 | 6 | 0.001 |
| Null model | 5 | −1416.8 | −1396.5 | 713.39 | −1426.8 | |||
| Litter Species: Leaching Concentration | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 23.51 | 7 | 0.001 |
| Null model | 6 | −1424.0 | −1399.7 | 717.98 | −1436.0 | |||
| Leaching Time: Leaching Concentration | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 14.336 | 6 | 0.026 |
| Null model | 4 | −1418.8 | −1402.6 | 713.39 | −1426.8 | |||
| Litter Species: Leaching Time: Leaching Conc. | 12 | −1426.3 | −1377.7 | 725.15 | −1450.3 | 23.517 | 8 | 0.002 |
| d. Asymmetry | ||||||||
| Null model | 8 | −424.19 | −397.12 | 220.10 | −440.19 | |||
| Litter Species | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 1.9462 | 3 | 0.583 |
| Null model | 8 | −422.68 | −395.60 | 219.34 | −438.68 | |||
| Leaching Time | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 3.4615 | 3 | 0.326 |
| Null model | 8 | −417.94 | −390.87 | 216.97 | −433.94 | |||
| Leaching Concentration | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 8.1956 | 3 | 0.042 |
| Null model | 6 | −426.54 | −406.23 | 219.27 | −438.54 | |||
| Litter Species: Leaching Time | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 3.599 | 5 | 0.608 |
| Null model | 5 | −420.20 | −403.28 | 215.10 | −430.20 | |||
| Litter Species: Leaching Concentration | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 11.934 | 6 | 0.063 |
| Null model | 6 | −419.76 | −399.46 | 215.88 | −431.76 | |||
| Leaching Time: Leaching Concentration | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 10.374 | 5 | 0.065 |
| Null model | 4 | −421.74 | −408.20 | 214.87 | −429.74 | |||
| Litter Species: Leaching Time: Leaching Conc. | 11 | −420.14 | −382.91 | 221.07 | −442.14 | 12.399 | 7 | 0.088 |
Note: Larval mortality rate (a) considered replicates as a random effect, and days to emerge (b), adult size (c) and body asymmetry (d) considered sex and replicates as random effects.
Figure 3.

Violin and box plots of A. aegypti larval mortality (%) in Set B across (a) litter species, (b) leaching duration, (c) leachate concentration and (d) their interaction. Boxes, interquartile range; horizontal bars, medians; black circles, means.
Developmental timing closely paralleled survival outcomes. In Set A, mean time to adult emergence differed significantly only for the litter species × leaching time interaction [Table 3(b)]. The D14 leachate of H. heptaphyllus accelerated emergence to 6.27 ± 0.70 days, nearly 2 days earlier than the control (8.22 ± 2.67 days), whereas both T. tipu treatments yielded intermediate development times (~6.7 days; Fig. 4). In Set B, emergence timing was governed by a significant three‐way interaction among species, concentration and leaching duration [Table 4(b)]. The slowest cohorts (~10.2 days) occurred in 50% and 100% D14 H. heptaphyllus leachates, whereas the fastest (~7.8 days) developed in 50% T. tipu leachate (Fig. 5).
Figure 4.

Development time (days to adult emergence) of A. aegypti across litter species treatments (Control, H. heptaphyllus and T. tipu) after (a) 7and (b) 14 days of leaf leaching in Set A.
Figure 5.

Development time (days to adult emergence) of A. aegypti across litter species treatments (Control, H. heptaphyllus and T. tipu) in Set B, following 7 and 14 days of leaf leaching at (a) 50% and (b) 100% leachate concentration.
Adult body size exhibited nonlinear responses across the same treatment factors. In Set A (25% leachates), wing length varied by litter species (GLMM, χ2 = 16.1, P < 0.001) and its interactions [Table 3(c)]. Control mosquitoes were the smallest (2.36 ± 0.09 mm), those reared in H. heptaphyllus were slightly larger (~2.47 mm), and T. tipu produced the largest individuals (2.57–2.60 mm; Fig. 6). In Set B, adult size was influenced by leachate concentration, leaching duration and all interaction terms [Table 4(c)]. The largest adults (2.73 ± 0.07 mm) emerged from 100% D14 T. tipu leachate, whereas the smallest (~2.15 mm) developed in 100% D7 T. tipu leachate and in the most concentrated H. heptaphyllus treatments (Fig. 7).
Figure 6.

Violin and box plots of A. aegypti adult wing length (mm) in Set A across (a) litter species, (b) leaching duration and (c) their interaction. Boxes, interquartile range; horizontal bars, medians; black circles, means.
Figure 7.

Violin and box plots of A. aegypti adult wing length (mm) in Set B across (a) litter species, (b) leaching duration, (c) leachate concentration and (d) their interaction. Boxes, interquartile range; horizontal bars, medians; black circles, means.
Fluctuating wing asymmetry (FA) remained low overall but was modulated by treatment interactions. In Set A, only the species × leaching time interaction was significant [Table 3(d)], with FA increasing from 0.05 ± 0.10 mm in controls to 0.09–0.10 mm in D14 leachates, particularly in H. heptaphyllus (Fig. 8). In Set B, FA increased with leachate concentration (GLMM, χ2 = 7.4, P = 0.006) and was further shaped by higher‐order interactions, peaking in 100% H. heptaphyllus (0.12 ± 0.13 mm) and 50% D7 T. tipu (0.10 ± 0.11 mm; Table 4(d), Fig. 9). Controls consistently exhibited the lowest asymmetry (0.05 ± 0.10 mm).
Figure 8.

Violin and box plots of A. aegypti wing asymmetry (mm) in Set A across (a) litter species, (b) leaching duration and (c) their interaction. Boxes, interquartile range; horizontal bars, medians; black circles, means.
Figure 9.

Violin and box plots of A. aegypti wing asymmetry (mm) in Set B across (a) litter species, (b) leaching duration, (c) leachate concentration and (d) their interaction.
4. DISCUSSION
4.1. Key ecological outcomes
Our findings indicate that foliar leachates from two dominant urban tree species may act as ecological filters for A. aegypti, influencing larval survival and adult phenotype in a species‐, concentration‐, and time‐dependent manner. High mortality occurred exclusively under the 50% and 100% T. tipu treatments, for both D7 and D14 leachates (92–99%; Set B). No other concentration–age combination produced such levels of lethality. Importantly, 25% T. tipu did not induce mortality; instead, it consistently supported higher survival relative to the control. Conversely, H. heptaphyllus leachates remained nonlethal across all treatments, with mortality never >16%. These contrasting biological responses, spanning six‐fold differences in survival, 2‐day shifts in developmental timing, 25% variation in body size, and elevated wing asymmetry, aligned with species‐specific chemical trajectories, with a temporally persistent profile enriched in tannins and oxalate‐related metabolites in T. tipu versus a rapid decline in phenolics and the prominence of alkenes in H. heptaphyllus.
Taken together, these results suggest that a single tree species may transition functionally from ‘fertilizer’ to ‘insecticide’ depending on shifts in leachate chemistry, pointing to a self‐renewing, landscape‐embedded process that could contribute to vector suppression alongside existing management strategies. 9 , 19 , 28 By integrating untargeted metabolomic profiling with factorial bioassays, this study may offer a conceptual framework for exploring how urban‐greening decisions may interact with mosquito ecology and highlights urban leaf litter as a previously under‐recognized driver in the environmental dynamics of arboviral disease transmission.
4.2. Species‐specific chemistry frames ecological outcomes
Our chromatographic analyses revealed that leachates from T. tipu and H. heptaphyllus follow markedly divergent chemical trajectories over time. In H. heptaphyllus, total phenolics and condensed tannins declined by ≈50% between D7 and D14, accompanied by a compositional shift from short‐chain alkenes to oxidized esters, a pattern consistent with the early loss of water‐soluble defense metabolites commonly reported for hardwood litter. 20 , 24 , 29 , 30 By contrast, T. tipu retained a comparatively stable profile dominated by oxygenated aliphatics and showed a three‐fold increase in condensed tannins together with the accumulation of an oxalate‐related ester (oxalic acid, cyclohexyl hexyl ester). This pattern may align with the behavior of leguminous foliage enriched in hydrolyzable tannins, which often leach gradually and exhibit slower microbial degradation. 21 , 23 , 31 These species‐specific chemical fingerprints are consistent with the divergent larval outcomes observed in our bioassays and suggest plausible mechanistic pathways that merit further investigation, while recognizing that the processes involved were not directly quantified in our study. 31 , 32
4.3. Dose–response logic of mosquito's life‐history traits
Larval survival closely tracked a composite gradient of condensed tannins, oxalic acid (cyclohexyl hexyl ester), and dissolved organic carbon (DOC). The observed increase in larval survival at 25% T. tipu leachate may reflect a synergistic interaction between the baseline Spirulina diet and leachate‐derived DOC, which together could stimulate microbial biomass and thereby enhance the availability of microbially mediated food resources, rather than indicating that the leachate itself functions as a direct nutrient source. 33 Accordingly, this pattern is more cautiously interpreted as an emergent outcome of the combined dynamics of Spirulina supplementation, DOC enrichment and microbiota proliferation, consistent with previous studies suggesting that microbial growth can modulate positive nutritional effects in container‐breeding mosquito systems. 34 Also, although the oxalate detected corresponds to an esterified derivative rather than free oxalate, its presence may still indicate oxalate‐related chemistry that could influence larval physiology in indirect ways, with low levels of oxalate conferring antioxidant protection during ecdysis 35 , 36 .
When leachate concentration reached ≥50% or when aging extended to 14 days, mortality surpassed 90%. These high mortality levels are consistent with hypotheses proposed in other systems, such as potential tannin‐protein interactions 37 or precipitation phenomena 38 associated with oxalate‐related compounds, both of which have been reported to affect midgut stability and epithelial integrity in various taxa 39 . Although our study did not directly measure these processes, they offer plausible explanations that align with the observed patterns. By contrast, H. heptaphyllus leachates produced mortality levels similar to the control across all treatments, which is compatible with their lower tannin concentrations and the rapid decline of phenolic compounds during leachate aging. The predominance of unsaturated alkenes in H. heptaphyllus, generally characterized by low larvicidal activity at environmentally relevant concentrations, further corresponds with the limited toxicity observed. 40 , 41
Both leachate types accelerated development relative to the control, yet the most rapid emergence (~6 days) was observed in D14 H. heptaphyllus leachates, despite their low energetic content. In insects, accelerated metamorphosis under sublethal chemical exposure has been documented as a potential compensatory strategy, 9 , 15 often reflecting a trade‐off between growth and survival. 5 , 19 , 42 In the present context, the temporal decline in phenolic compounds in H. heptaphyllus leachates may have reduced chemical stress sufficiently to allow for quicker molting, 43 whereas residual DOC could have supported microbial proliferation that partially mitigated nutritional limitations. 33 Conversely, the slowest development (~10 days) occurred in full‐strength H. heptaphyllus leachate, a pattern that may reflect a combination of restricted energy availability and mild chemical stress delaying metamorphosis 9 , 19 , consistent with broader conceptual models of stress‐associated developmental postponement 35 , 41 .
Wing length, a key proxy for adult mosquito fitness 44 , suggests that adult body size exhibited a pronounced, nonlinear response to T. tipu concentration and aging. The largest adults emerged from 25% T. tipu in Set A, a pattern that may be consistent with a transient enhancement in resource availability potentially linked to labile DOC and other readily metabolizable compounds such as cyclohexanemethanol, which can support microbial processing and thereby increase the quality of larval food resources 34 , 45 . However, the smallest adults occurred in the D14 100% T. tipu leachate (~2.15 mm), a pattern consistent with strong chemical stress at high concentrations. At higher concentrations, elevated tannin and oxalate‐related compounds may have counteracted these benefits, coinciding with pronounced reductions in adult body size. 46 , 47 H. heptaphyllus displayed an inverse pattern, with its lower tannin content may reduce toxic stress yet also limit energetic inputs. 46 , 47 resulting in intermediate‐sized adults across treatments. These shifts in body size have epidemiological implications 44 , as larger Aedes females are generally more fecund, longer‐lived and may exhibit higher vector competence 47 , 48 , 49 . These results clarify that 100% T. tipu leachates, regardless of time, do not enhance adult size; instead, they markedly reduce it. Accordingly, low‐dose T. tipu leachates could, under certain conditions, favor traits associated with increased vectorial capacity, whereas more concentrated leachates appear to suppress adult performance. 47 , 48 , 49
Bilateral wing asymmetry (FA) remained below 0.05 mm in control groups but increased to 0.10–0.12 mm under the most chemically stressful treatments, values that fall within ranges commonly associated with developmental instability in mosquitoes 9 , 49 . The highest FA levels occurred in 100% H. heptaphyllus (D7) and 50% T. tipu (D7), conditions in which chemical stress may have been sufficient to perturb morphogenesis without causing acute lethality. Elevated FA has been linked in previous studies to reduced flight performance and diminished host‐seeking efficiency 9 , 12 , 42 , suggesting that even individuals with otherwise normal body size may experience compromised postemergence survival or vectorial potential under such conditions.
4.4. Implications for urban vector management
Our findings suggest that the ecological role of urban leaf litter is influenced by both botanical identity and hydrological conditions. 19 , 31 T. tipu, a dominant species in Chapecó's street canopy, appears to function as a chemical ‘double‐edged sword’: at low dilution, runoff may support A. aegypti performance, whereas more concentrated leachates, such as those potentially formed after prolonged dry periods followed by intense rainfall, were associated with substantially higher larval mortality in our assays. By contrast, H. heptaphyllus leaf litter produced comparatively neutral effects, eliciting mild physiological stress but no consistent lethal responses. These functional differences indicate that tree species composition could, in principle, influence mosquito developmental environments in urban settings. While caution is warranted in translating experimental findings to management actions, incorporating knowledge of plant–vector interactions into urban landscape planning may provide an additional, ecologically grounded layer to integrated vector management strategies 9 , 19 .
5. CONCLUSIONS
Our factorial bioassays, combined with detailed metabolite profiling, suggest that urban leaf litter may not act merely as a passive substrate, but instead, rather as a chemically dynamic matrix capable of nourishing, stressing or reducing the performance of A. aegypti depending on botanical origin, leachate concentration and decomposition stage. At low dilution (25%), T. tipu leachates enhance survival, accelerate development and produce larger adults; however, at higher concentrations (50–100%) and both leaching durations (D7 and D14), T. tipu consistently produces >90% mortality and substantially smaller adults. By contrast, H. heptaphyllus remains chemically benign across the same conditions, generating low mortality and intermediate adult sizes. These clarified patterns reinforce that T. tipu transitions from ‘fertilizer‐like’ to ‘insecticide‐like’ effects only when concentrations exceed 25% and not merely at D14. It raises the possibility that vector pressure could be influenced, at least in part, through the management of litter inputs already embedded within the urban canopy. From this perspective, ecologically informed design choices may complement existing vector control programs, which generally rely on externally applied chemical interventions.
We acknowledge several limitations. The microcosm design simplifies hydrological variation and excludes ecological interactions, such as predation and competition. 6 , 42 , 50 Additionally, potential nontarget effects were inferred rather than measured directly. Future studies should incorporate field‐based litterfall monitoring, rainfall dynamics and broader aquatic community assessments to evaluate whether these patterns hold under realistic urban conditions. Targeted isolation and dose–response assays of candidate metabolites also will be essential for clarifying causal mechanisms. Even so, our results refine prevailing models of container‐mosquito ecology by suggesting that leaf litter may function not simply as inert detritus, but instead as a chemically active filter whose ecological role may range from nutrient subsidy to larval suppression. Considering this dimension within urban forestry planning, for example, deploying T. tipu in areas susceptible to litter accumulation and favoring H. heptaphyllus where ecological risks should be minimized, could offer an integrative, self‐renewing approach to reducing arboviral transmission in rapidly urbanizing subtropical regions.
ACKNOWLEDGEMENTS
RSR is grateful to National Council for Scientific and Technological Development (CNPq no. 302044/2022–1) and Foundation to Support the Research and Innovation of State of Santa Catarina (TO = 2023TR001511, 2024TR2016, 2024TR2015, 2024TR002336 and 2024TR2013). ALC, MSZS, GDC and RB are grateful to CNPq, CAPES and FAPESC by scholarship. The Article Processing Charge for the publication of this research was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ‐ Brasil (CAPES) (ROR identifier: 00x0ma614).
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1. Kraemer MU, Sinka ME, Duda KA, Mylne AQ, Shearer FM, Barker CM et al., The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. Elife:4 CLOCKSS (2015). 10.7554/elife.08347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Brady OJ and Hay SI, The global expansion of dengue: how Aedes aegypti mosquitoes enabled the first pandemic arbovirus. Annu Rev Entomol 65:191–208 (2020). 10.1146/annurev-ento-011019-024918. [DOI] [PubMed] [Google Scholar]
- 3. Kraemer MUG, Reiner RC, Brady OJ, Messina JP, Gilbert M, Pigott DM et al., Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol 4:854–863 (2019). 10.1038/s41564-019-0376-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Faull KJ, Webb C and Williams CR, Desiccation survival time for eggs of a widespread and invasive Australian mosquito species, Aedes (Finlaya) notoscriptus (Skuse). J Vector Ecol 41:55–62. Portico (2016). 10.1111/jvec.12194. [DOI] [PubMed] [Google Scholar]
- 5. Montini P and Fischer S, Oviposition site selection and subsequent offspring performance of Aedes aegypti in short‐ and long‐term detritus accumulation conditions. Acta Trop 255:107222 (2024). 10.1016/j.actatropica.2024.107222. [DOI] [PubMed] [Google Scholar]
- 6. Cozzer GD, de Brito R, Pazini ACN, Remus HR, Dal Magro J and de Souza Rezende R, Competition is the main factor, compared to non‐lethal threat of predation, affecting life‐history traits of Aedes aegypti (Diptera, Culicidae) mosquitoes. Pest Manag Sci 81:744–754. Portico (2024). 10.1002/ps.8477. [DOI] [PubMed] [Google Scholar]
- 7. Cozzer GD, Ilha C, Borges WG, Lima‐Rezende CA, Dal Magro J and de Souza Rezende R, The role of larval density and food availability in life‐history traits of Aedes aegypti mosquitoes. Entomol Exp Appl 173:892–902. Portico (2025). 10.1111/eea.13585. [DOI] [Google Scholar]
- 8. Joy TK, Arik AJ, Corby‐Harris V, Johnson AA and Riehle MA, The impact of larval and adult dietary restriction on lifespan, reproduction and growth in the mosquito Aedes aegypti. Exp Gerontol 45:685–690 (2010). 10.1016/j.exger.2010.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Pazini ACN, Cozzer GD, de Brito R, Magro JD, Lima‐Rezende CA, Albeny‐Simões D et al., Interactive effects of temperature and Ateleia glazioviana Baill (Fabaceae) toxicity on Aedes aegypti (Diptera: Culicidae) mosquito life‐history traits. Neotrop Entomol 54 (2025). 10.1007/s13744-025-01284-4. [DOI] [PubMed] [Google Scholar]
- 10. Couret J, Dotson E and Benedict MQ, Temperature, larval diet, and density effects on development rate and survival of Aedes aegypti (Diptera: Culicidae). PLoS One 9:e87468 (2014). 10.1371/journal.pone.0087468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Kroth N, Cozzer GD, Lemes da Silva S, Rezende R d S, Dal Magro J and Albeny‐Simões D, Female oviposition preferences and larval behavior of the Aedes aegypti mosquito (Linnaeus, 1762) exposed to predator cues (Odonata: Libellulidae). Limnetica 44:1 (2024). 10.23818/limn.44.06. [DOI] [Google Scholar]
- 12. Vassoler JAZ, Körner BL, Costa JVD, Lima‐Rezende CA, Cozzer GD, Simões DA et al., Temperature overcomes the effects of resource availability on the life history of Aedes aegypti mosquitoes, especially for females. An Acad Bras Cienc 97 (2025). 10.1590/0001-3765202520240909. [DOI] [PubMed] [Google Scholar]
- 13. Manjarres‐Suarez A and Olivero‐Verbel J, Chemical control of Aedes aegypti: a historical perspective. Costarr Salud Pública 22:68–75 (2013). [Google Scholar]
- 14. van den Berg H, da Silva Bezerra HS, Al‐Eryani S, Chanda E, Nagpal BN, Knox TB et al., Recent trends in global insecticide use for disease vector control and potential implications for resistance management. Sci Rep 11 (2021). 10.1038/s41598-021-03367-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Senthil‐Nathan S, A review of resistance mechanisms of synthetic insecticides and botanicals, phytochemicals, and essential oils as alternative larvicidal agents against mosquitoes. Front Physiol 10 (2020). 10.3389/fphys.2019.01591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Hillary VE, Ceasar SA and Ignacimuthu S, Efficacy of plant products in controlling disease vector mosquitoes, a review. Entomol Exp Appl 172:195–214Portico (2024). 10.1111/eea.13401. [DOI] [Google Scholar]
- 17. Gallon C, Martello RH, Cozzer G, Rezende CAL, Calisto JFF, Floss PA et al., Chemistry matters: biological activity of Eucalyptus essential oils on mosquito larval mortality. Entomol Exp Appl 168:407–415Portico (2020). 10.1111/eea.12908. [DOI] [Google Scholar]
- 18. Souto AL, Sylvestre M, Tölke ED, Tavares JF, Barbosa‐Filho JM and Cebrián‐Torrejón G, Plant‐derived pesticides as an alternative to pest management and sustainable agricultural production: prospects, applications and challenges. Molecules 26:4835 (2021). 10.3390/molecules26164835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Marsaro IB, Cozzer GD, Cararo ER, Brito RD, Borges WG, Dal Magro J et al., Less is more: partial larvicidal efficacy of plant leachate leads to larger Aedes aegypti mosquitoes. Bull Entomol Res 113:684–692 (2023). 10.1017/s0007485323000366. [DOI] [PubMed] [Google Scholar]
- 20. de Souza Rezende R, da Silva Moretti M, Cararo ER, Pandolpho Kiffer W, da Costa LC, Tonin AM et al., The influence of litter diversity on leaf breakdown and the colonization of decomposer communities in subtropical Highland grassland streams. Biotropica 57 Portico (2025). 10.1111/btp.13424. [DOI] [Google Scholar]
- 21. de Souza Rezende R, Ferreira da Silva W, da Silva Carneiro J, Costa Novaes JL, Tonin AM, Gonçalves Junior JF et al., Plant species is more important than urbanization for leaf litter breakdown in a semi‐arid river. Limnetica 45:1 (2025). 10.23818/limn.45.08. [DOI] [Google Scholar]
- 22. Seidenfus LC, Plano de arborização urbana de Chapeço, in Secretário de Desenvolvimento Rural e Meio Ambiente. (2020). [Google Scholar]
- 23. Bergaoui A, Flamini G and Jannet HB, Chemical composition and allelopathic potential of essential oils from Tipuana tipu (Benth.) Kuntze cultivated in Tunisia. Chem Biodivers 13:309–318. Portico (2016). 10.1002/cbdv.201500083. [DOI] [PubMed] [Google Scholar]
- 24. Grochanke BS, Gehrke ITS, Goettems‐Fiorin PB, Bruxel MA, Basso EGP, Heck TG et al., Compostos fenólicos da casca de Handroanthus heptaphyllus (Mart.) Mattos e efeitos do extrato aquoso no perfil lipídico, glicêmico e na lipoperoxidação em ratos diabéticos. Revista Brasileira de Plantas Medicinais 18:264–272 (2016). 10.1590/1983-084x/15_129. [DOI] [Google Scholar]
- 25. Bärlocher F and Graça MAS, Total Phenolics, in Methods to Study Litter Decomposition, ed. by Barlocher F. Springer, Dordrecht, pp. 97–100 (2005). [Google Scholar]
- 26. Crawley MJ, The R Book. John Wiley & Sons Ltd, England: (2007). [Google Scholar]
- 27. Moral RA, Hinde J and Demétrio CGB, Half‐Normal plots and overdispersed models in R: the hnp package. J Stat Softw 81 (2017). 10.18637/jss.v081.i10. [DOI] [Google Scholar]
- 28. Earl JE, Cram RA and Magee‐Christian R, Effects of leaf‐litter species and chemistry on aquatic insect habitat selection. Freshw Sci 44:187–201 (2025). 10.1086/735670. [DOI] [Google Scholar]
- 29. Rezende RS, Petrucio MM and Gonçalves JF, The effects of spatial scale on breakdown of leaves in a tropical watershed. PLoS One 9:e97072 (2014). 10.1371/journal.pone.0097072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Rezende RS, Cararo ER, Chimello V, Lima‐Rezende CA, Moretto Y and Gonçalves JF, Small hydropower plants lead to higher litter breakdown rates in by‐passed sections than in impounded reaches. Aquat Sci 85 (2022). 10.1007/s00027-022-00926-8. [DOI] [Google Scholar]
- 31. Cararo ER, Bernardi JP, Lima‐Rezende CA, Magro JD and de Souza Rezende R, Chemistry matters: high leaf litter consumption does not represent a direct increase in shredders’ biomass. Neotrop Entomol 52:452–462 (2023). 10.1007/s13744-023-01043-3. [DOI] [PubMed] [Google Scholar]
- 32. Cararo ER and Rezende R d S, Effects of riparian forest and annual variation in stream environmental conditions on leaf litter breakdown and invertebrate communities in highland grassland streams. Hydrobiologia 851:5139–5150 (2024). 10.1007/s10750-024-05669-1. [DOI] [Google Scholar]
- 33. Escobar IC, Randall AA and Taylor JS, Bacterial growth in distribution systems: effect of assimilable organic carbon and biodegradable dissolved organic carbon. Environ Sci Technol 35:3442–3447 (2001). 10.1021/es0106669. [DOI] [PubMed] [Google Scholar]
- 34. Yokomatsu T, Nakabayashi N, Matsumoto K and Shibuya S, Lipase‐catalyzed kinetic resolution of cis‐1‐diethylphosphonomethyl‐2‐hydroxymethylcyclohexane. Application to enantioselective synthesis of 1‐diethylphosphonomethyl‐2‐(5′‐hydantoinyl)cyclohexane. Tetrahedron: Asymmetry 6:3055–3062 (1995). 10.1016/0957-4166(95)00403-3. [DOI] [Google Scholar]
- 35. Rivera‐Pérez C, Clifton ME and Noriega FG, How micronutrients influence the physiology of mosquitoes. Curr Opin Insect Sci 23:112–117 (2017). 10.1016/j.cois.2017.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Sabová L, Sobeková A, Staroň M, Sabo R, Legáth J, Staroňová D et al., Toxicity of oxalic acid and impact on some antioxidant enzymes on in vitro–reared honeybee larvae. Environ Sci Pollut Res 26:19763–19769 (2019). 10.1007/s11356-019-05247-2. [DOI] [PubMed] [Google Scholar]
- 37. Katoch R, Nutritional Quality Management of Forages in the Himalayan Region. Springer Singapore, (2022). 10.1007/978-981-16-5437-4. [DOI] [Google Scholar]
- 38. Gemede HF and Ratta N, Anti dietary factors in plant foods: potential health benefits and adverse effects. Adv Res J Microbiol 5:100–113 (2018). [Google Scholar]
- 39. Abu Hafsa SH, Hassan AA, Elghandour MMMY, Barbabosa‐Pliego A, Mellado M and Salem AZM, Dietary anti‐nutritional factors and their roles in livestock nutrition. Sustain Agricu Rev 57:131–174 (2022). 10.1007/978-3-031-07496-7_4. [DOI] [Google Scholar]
- 40. Satyan RS, Sakthivadivel M, Shankar S and Dinesh MG, Mosquito larvicidal activity of linear alkane hydrocarbons from Excoecaria agallochaL. against Culex quinquefasciatus Say. Nat Prod Res 26:2232–2234 (2012). 10.1080/14786419.2011.643887. [DOI] [PubMed] [Google Scholar]
- 41. Wooding M, Naudé Y, Rohwer E and Bouwer M, Controlling mosquitoes with semiochemicals: a review. Parasit Vectors 13 (2020). 10.1186/s13071-020-3960-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Borges WG, Cozzer GD, Durigon GR, Lima‐Rezende CA and Rezende R d S, Predator presence influences life history traits of Aedes aegypti. Aquat Sci 85 (2023). 10.1007/s00027-023-00952-0. [DOI] [Google Scholar]
- 43. Verma N and Kumar LGAS, Phenoloxidases: the crucial targets to control mosquito population. Biopestic Int 20:1 (2024). 10.59467/bi.2024.20.1. [DOI] [Google Scholar]
- 44. Jeffrey Gutiérrez EH, Walker KR, Ernst KC, Riehle MA and Davidowitz G, Size as a proxy for survival in Aedes aegypti (Diptera: Culicidae) mosquitoes. J Med Entomol 57:1228–1238 (2020). 10.1093/jme/tjaa055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Hagerman AE, Robbins CT, Weerasuriya Y, Wilson TC and McArthur C, Tannin chemistry in relation to digestion. J Range Manage 45:57 (1992). 10.2307/4002526. [DOI] [Google Scholar]
- 46. Mueller‐Harvey I, Unravelling the conundrum of tannins in animal nutrition and health. J Sci Food Agric 86:2010–2037. Portico (2006). 10.1002/jsfa.2577. [DOI] [Google Scholar]
- 47. Yeap HL, Endersby NM, Johnson PH, Ritchie SA and Hoffmann AA, Body size and wing shape measurements as quality indicators of Aedes aegypti mosquitoes destined for field release. Am Soc Trop Med Hyg 89:78–92 (2013). 10.4269/ajtmh.12-0719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Briegel H, Metabolic relationship between female body size, reserves, and fecundity of Aedes aegypti. J Insect Physiol 36:165–172 (1990). 10.1016/0022-1910(90)90118-y. [DOI] [Google Scholar]
- 49. Floate KD and Fox AS, Flies under stress: a test of fluctuating asymmetry as a biomonitor of environmental quality. Ecol Appl 10:1541–1550 (2000). 10.1890/1051-0761(2000)010[1541:fusato]2.0.co;2. [DOI] [Google Scholar]
- 50. Kroth N, de Souza Rezende R, Dal Magro J and Albeny‐Simões D, Top‐down effects on aquatic communities in subtropical lentic microhabitats. Austral Ecol 47:1006–1015. Portico (2022). 10.1111/aec.13179. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
