Next Article in Journal
The Transcriptomic Landscape of Molecular Effects after Sublethal Exposure to Dinotefuran on Apis mellifera
Previous Article in Journal
Variant A of the Deformed Wings Virus Alters the Olfactory Sensitivity and the Expression of Odorant Binding Proteins on Antennas of Apis mellifera
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Influence of Microclimate Factors on Halyomorpha halys Dehydration

1
Department of Sustainable Crop Production–DIPROVES, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy
2
Department of Animal Science, Food and Nutrition–DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy
*
Authors to whom correspondence should be addressed.
F.G. and G.P. contributed equally to this work.
Insects 2021, 12(10), 897; https://doi.org/10.3390/insects12100897
Submission received: 3 September 2021 / Revised: 24 September 2021 / Accepted: 29 September 2021 / Published: 2 October 2021
(This article belongs to the Section Insect Physiology, Reproduction and Development)

Abstract

:

Simple Summary

The brown marmorated stink bug Halyomorpha halys has become a serious invasive species in Northern America and Europe, where it causes major damage to a wide range of crops. Understanding the ecology and behaviour of this pest is key to identifying the most effective strategies to contain its spread. Here we demonstrate that microclimate conditions affect H. halys water loss and that transpiration is influenced by feeding regime and sex. In the overwintering generation, transpiration does not seem influenced by population density and the first nutritional need of individuals exiting diapause is represented by hydration, likely due to water loss during the diapause. Our data suggest that hot and dry climates are not favourable for H. halys and may limit its geographical range. Similarly, microclimatic conditions within crops may have a significant impact on the distribution of H. halys and insect activity may be affected by crop management practices (e.g., pruning and irrigation).

Abstract

Understanding the interaction between insects and microclimate can be essential in order to plan informed and efficient treatments against agricultural pests. Microclimatic factors such as humidity and temperature can influence the population dynamics of the invasive agricultural pest Halyomorpha halys, the brown marmorated stink bug. The aim of this work was to evaluate the level of transpiration of H. halys in dry, normal and humid microclimates according to the sex, physiological conditions and developmental stage of individuals. Water loss during diapause and the effect of population density on insects’ transpiration were also assessed, as were the nutritional preferences of adults upon exiting diapause. Our data demonstrate that microclimatic conditions significantly influence the transpiration of this pest species. The effect of sex and feeding status on insects’ water loss is marked, while population density does not influence water loss in diapausing individuals. The first nutritional need of the overwintering generations is represented by hydration, likely due to the water loss during diapause.

1. Introduction

The brown marmorated stink bug (Halyomorpha halys; Hemiptera, Pentatomidae) is an East Asian invasive species now established across North America and Europe, where it causes significant economic losses to agriculture and ornamental plants due to its polyphagous behaviour [1,2]. To date, most H. halys management practices rely on multiple season-long broad-spectrum insecticide treatments [3], which affect both natural enemies and pollinators along with the target pest [4]. Attract-and-kill systems and biocontrol have been suggested as alternative sustainable strategies [4,5,6,7,8,9]; however, such approaches are currently more expensive than the conventional insecticide-based management or pose significant risks of non-target effects, as in the case of the parasitoid Trissolcus japonicus [10,11].
Understanding the ecology and behaviour of a pest is key to identifying the most effective strategies to contain its spread. Temperature is known to play a critical role in the biology of H. halys [12]. H. halys is also a chill-intolerant species, with the minimum and maximum temperature for its development estimated to be 13–14 °C and ~36 °C, respectively [2]. In winter, the species contrasts exposure to cold by aggregating in protected habitats, including human-made structures, and subsequently entering diapause [13,14]. Regions with warm–temperate climates are likely targets of invasion from H. halys [15]. The global increase in temperatures due to climate change will further expand the range of H. halys and possibly allow bivoltine reproduction in regions where it currently displays only one generation per year [11,15].
Few reports exist on the role of ambient moisture in the life cycle of H. halys. Atmospheric and liquid water play a key role in the biology and ecology of terrestrial organisms. Noticeably, small ectotherms have higher risks of desiccation due to their high surface-area-to-volume ratio, low fat storage, and high metabolic rate [16,17]. Although studies on some insect species indicate substantial effects of temperature and relative humidity on transpiration, no data are available on the effects of Vapour Pressure Deficit (VPD) on H. halys. Such information can be used to predict the distribution and dynamics of insect populations as demonstrated, for example, in Alphitobius diaperinus, the lesser mealworm, a pest of tropical origin that infests grain stores and poultry houses in temperate regions. In this species, the rate of transpiration shows little increase in dry (~0% relative humidity) and warm–hot (20–40 °C) environments, whereas at temperatures >40 °C the insect suffers from high water loss [18]. This confirms that the most suitable microhabitats of A. diaperinus are characterised by a low relative humidity and mid-to-high temperatures, such as those found in grain stores and poultry houses [18].
The first response to dehydration in an active insect is to rehydrate by accessing a water source [19]. However, diapausing adults of H. halys do not appear to actively rehydrate, though transpiration is not suppressed [20].
Several behaviours can have an impact on transpiration. For instance, the aggregating behaviour of diapausing H. halys can act as a water-conserving group strategy, as shown in nymphs of the Pentatomidae Nezara viridula [21,22,23,24,25]; however, experimental data focused on the hydration needs of diapausing H. halys are currently lacking. Furthermore, transpiration can vary across different stages of the insect cycle [26].
Here, we investigate whether microclimatic conditions can influence the transpiration of H. halys and if transpiration is affected by feeding regime, sex and developmental stage (i.e., juvenile or adult stage). Moreover, water loss during diapause and the effect of population density on insects’ transpiration were also assessed, as well as nutritional preferences of adults upon exiting diapause.
This work aimed to expand our knowledge on the ecology of H. halys and its reaction to different microclimatic conditions. Prediction of the most suitable microhabitat can aid in the management of this invasive crop pest.

2. Materials and Methods

2.1. Transpiration during Diapause

We tested the level of transpiration of H. halys during diapause and tested its dependency on aggregation size. We sampled four groups counting 10, 24, 50 and 100 individuals, here named G10, G24, G50 and G100, respectively. Sampling of individuals that had recently entered diapause was carried out in late fall 2018, assuring a 1:1 sex ratio within each group, which were kept in beakers (15 cm diameter; Thermo Fisher Scientific Inc. Waltham, MA, USA) covered with insect netting. The beakers were stored in a temperature- and humidity-controlled cabinet (F.lli Galli, Milan, Italy), for 20 days at 8 °C and ~65–70% relative humidity (RH). The net weight of each group of individuals was recorded daily. Weight loss was used as a proxy for water loss (i.e., transpiration) as in overwintering individuals the stored nutrients (lipids, glycogen and sugars) do not decrease during the first months of diapause, but rather at the end (in the spring) [27]. Further, the dry weight of each beaker with covering net was recorded before and after the experiment. To assess the change in weight over time, we fitted Generalized Additive Mixed Models (GAMMs) using the weight measured at each day (Day: from 1 to 20) as a smooth continuous term and the group assignment (Group: G10, G24, G50 and G100) as a categorical variable. We tested models including linear regression, smoothed splines, assigning the group identity as random variable, and day/group interaction. Model selection was performed through Akaike information criterion (AIC) and the model assumptions were verified through graphical assessment of the models’ residuals using the R package ‘gratia’ [28]. GAM was performed as implemented in the ‘mgcv’ R package, which was also used to assess the concurvity and significance of base functions [29,30].

2.2. Post Diapause Experiments

Over 800 adults in diapause were collected from the wild between October and December 2017 and stored in cardboard boxes, following Costi and colleagues [31]. The Diapause termination was induced at the end of January 2018 by transferring the boxes to standard rearing conditions, i.e., ~24 °C, ~60% RH and photoperiod 16:8 (L:D) [32].

2.3. Double Choice Experiments in Overwintering H. halys Generation

We investigated whether H. halys favours rehydration over feeding upon exiting diapause. Upon exiting diapause, 352 specimens of both sexes were transferred to individual petri dishes 12 cm in diameter. Within each petri dish, the insect could choose between free water (a plastic bottle cap filled with water) and a food source (1 g) from among green bean, apple, and sunflower seeds, which are sources of proteins, sugars, and lipids, respectively (CREA ‘Centro alimenti e nutrizione’ https://www.alimentinutrizione.it/sezioni/tabelle-nutrizionali (accessed on 12 June 2020) and Medal and colleagues [33]). We tested 100 individuals for water vs. green bean, 112 individuals for water vs. apple, and 140 individuals for water vs. sunflower seeds. Each petri dish was monitored for one hour to record whether the insect chose to feed or drink. A binomial test was used to evaluate if the choice of water vs. food was significant against the null hypothesis (random choice). Only the individuals which chose either water or food were included in the analysis.

2.4. VPD Experiment

We evaluated the level of transpiration of 320 H. halys adults across a range of microclimatic conditions ranging from dry (RH < 30%), to normal (RH ranging 30–60%), to humid (RH > 60%). Prior to testing, all the individuals had access to food and water for at least 15 days. To evaluate the effects of starvation on the level of transpiration, 80 individuals were tested after 24 h starvation.
Individual tests were carried out for groups of 10 adult individuals of the same sex. Each group was relocated to a 12 cm petri dish with an insect net lid; we recorded the net weight and moved the petri dishes to the experimental chamber (a 20 cm × 20 cm × 10 cm plastic box).
The RH in the experiment chamber was stabilized within the focal RH range by two air pumps one connected to a silica gel box and the other to a distilled water container, in order to reduce and increase the air humidity, respectively. The experiment chamber was kept at room temperature. Both temperature and RH were recorded every three minutes via data logger (PCE-HT71, PCE Instruments™, Italy). After 40 min, the tested group was removed from the experiment chamber and weighed. No droppings (i.e., marks of excretion) were seen during the experiments. The same experiment was performed on juvenile stages from I to V. We assembled 12 groups of juvenile individuals. To avoid extensive manipulation of the frail juvenile stages we opted to avoid a precise count of the number of individuals per group, and selected approximately hundreds of individuals to balance the small size and the consequent minimal transpiration of each animal [34].
The difference in weight before and after the experiment (ΔW) was due to water loss through transpiration, which we expressed as follows:
T r = Δ W G · 3600 s 2400 s · W i G
where Tr (mg H2O · g−1 h−1) is the water transpired in an hour on an insect body weight basis, ΔWG the group weight loss, and WiG the weight of the group G expressed in g.
To account for the relationship between environmental conditions and animal transpiration, mean temperature and mean RH data of each group were expressed in Vapour Pressure Deficit (VPD) [35] as follows:
V P D = 610.7 · 10 7.5 T / ( 237.3 + T ) 1000 ( 1 R H 100 )
where T is the temperature in °C and RH is the relative humidity in %. VPD is expressed in kPa [36]. VPD and Tr were subjected to general linear mixed model analysis.
Differences in water loss were assessed by contrasting feeding (fed vs. starving), sex (male vs. female) and age (nymph vs. adult). We modelled the transpiration as a response variable at increasing values of VPD, using the linear mixed model as implemented in the ‘lme4’ R package [37]. We fit two models, the first including adult individuals exclusively and the second, aimed at assessing the effect of age, including both adult and juvenile individuals. Sex and Feed were included as fixed effects in the first model (only adults), and as random effects in the second model (adults and juveniles). The date of measurement was added as a random effect in both models. Model selection was performed through Akaike information criterion (AIC), and the model assumptions were verified through graphical assessment of the models’ residuals using the R package ‘performance’ [28]. Pseudo-R2 were computed using the R package ‘jtools’ [38], and confidence intervals on the predictions obtained as ±1.96 times the standard error. Standard errors were computed through 1000 bootstrap replicates of each model using the lme4::bootMer function. A significance threshold of α = 0.05 was used throughout the analyses.

3. Results

3.1. Transpiration during Diapause

We evaluated the relation between weight loss (as a proxy for transpiration) across the 20 days after exiting diapause in four groups of H. halys (G10, G24, G50 and G100). The recorded weights showed a distinct decreasing trend (Figure 1). The initial weight per insect at day 0 was different across groups, with G50 and G24 recording the highest weight and G10 and G100 the lowest (Figure 1). The association between weight and time after exiting the diapause was modelled through GAMM. The lowest AIC was achieved using a log-normal model with Day of measurement as smoothed variable and the group identity as random variable to model the intercept. The Day : Group interaction did not reach significance (p-value > 0.05), suggesting non-significant slope differences among groups, and was not included in the final model. We recorded a significant smoothed fit (adjusted-R2 = 0.99; p-value ≪ 0.01) across the 20 days of the test showing a faster rate of weight loss within the first five days upon entering diapause, followed by an almost linear trend in the subsequent days (Figure 1).

3.2. Double Choice Experiments in Overwintering H. halys Generation

In the double choice experiments, out of 352 total individuals 144 chose water (~41%), 23 chose food (~6%), and 185 chose none (~53%). Among the individuals that performed a choice, a binomial test rejected the null hypothesis (p-value ≪ 0.01) of a random choice between water and food (Table 1).

3.3. VPD Experiment

We assessed the effects of VPD, feeding, sex, and age on the transpiration in H. halys. The association between transpiration at changing values of VPD was modelled using a linear mixed model. The lowest AIC was achieved fitting log-normal polynomial regression with VPD (as 3 degrees polynomial term), Sex and Feed as fixed effects, and the Date of measurement as a random effect (total pseudo-R2 = 0.64). VPD, Sex and Feed were significant (p-value < 0.01). Our model showed a steep increase in the transpiration rate at VPD values 0.5 to ~1.5, and no noticeable increase at higher VPD values, independent of the sex or feeding status of the insects (Figure 2). Independent of sex or feeding status, female and fed showed higher water loss than male and starved individuals (Figure 2b,c).
A second linear mixed model was fitted to determine the difference in transpiration at changing values of VPD between adult and juvenile insects. The lowest AIC was achieved fitting a log-normal polynomial regression with VPD (as 2 degrees polynomial term) and Age as a fixed effect, and Sex, Feed and the Date of measurement as random effects (total pseudo-R2 = 0.71). Although the model identified the mean transpiration in juveniles to be higher than in adults across all of the VPD ranges (Figure 3), the hypothesis of different transpiration between adults and juveniles returned a non-significant result (p-value > 0.05), likely due to the limited number of measurements we collected for the juvenile insects, as suggested by the large confidence intervals obtained (Figure 3b).

4. Discussion

Here, in accordance with observations on other terrestrial species, we found that H. halys is sensitive to VPD, with higher values promoting water loss in the species (Figure 2), hence impacting its population dynamics. VPD varies widely according to environmental conditions and plant microclimate as influenced by canopy height and density. Indeed, in maize VPD can range between 0.5 and 2 kPa, while the air VPD is between 1 and 4 kPa [39]. In tree canopy VPD can decrease up to 40% according to the height of the canopy [40]. In our experiment, the maximum VPD tested was 2.5 kPa, which approximately corresponds to an air temperature of 30 °C and RH of 40%, common values during summer in the temperate climates where H. halys is spreading.
We found a pronounced effect of sex on the transpiration, as H. halys female adults show higher water loss than males, in accordance with previous observations by Ciancio and colleagues [20]. This is in contrast with the behaviour of other species (e.g., dipteran and coleopteran species), where females show increased tolerance to desiccation than males due to a less permeable cuticle, higher body water content, and lower surface-area-to-volume ratio [41,42,43,44,45,46]. The higher water loss displayed by females may be due to their larger size, metabolic rate, total energy content or more permeable cuticle [20,46,47,48].
We recorded a marked effect of physiological conditions (i.e., feeding status) on H. halys transpiration, as confirmed by the reduced water loss in starving/dehydrated individuals as compared to fed (Figure 2). Starvation is indeed known to reduce metabolism and transpiration in several species [49,50].
Even if differences were not statistically significant (likely due to the limited sample size of juvenile forms), the values of water loss in H. halys juveniles were higher than in adults. Juvenile forms are characterised by a higher surface-area-to-volume ratio and possess a more permeable cuticle than adults [51]. Water loss is also a critical factor affecting the survival of pentatomids nymphs, including H. halys [23,26].
Our results suggest that water loss in overwintering H. halys first occurs at a faster rate, then decreases according to an almost linear trend [52]. Our observation fits with the known changes in the metabolism rate of H. halys through diapause [20]. The beginning of diapause is a specific physiological phase characterized by a transiently higher metabolic activity where the insects are constantly feeding and moving to secure sufficient energy gain for the upcoming long period of metabolic suppression [52]. The following phase is the so called ‘maintenance phase’ of diapause, where an extremely slow metabolism exclusively secures the basic homeostatic functions [52].
We could not record statistically significant differences in the water loss rate across groups of overwintering adults of different sizes (Figure 1). However, it is possible that larger within-group sample sizes are needed to detect the role of aggregation in H. halys as already recorded in other gregarious insects, including the pentatomid N. viridula [21,22,53].
We found that individuals just exiting diapause seek hydration more than energy resources. According to previous studies, the high mortality rate observed in the overwintering generation is due to a combination of dehydration and metabolic depletion of their energy reserves [54], even if providing water to individuals did not improve overwinter survival [55]. Recently, it has been shown that overwintering H. halys adults can exhibit cannibalistic behaviour, likely as an alternative strategy to prevent desiccation, rather than to replenish energy [56].

5. Conclusions

We showed that atmospheric VPD affects H halys transpiration. Consequently, areas with high VPD (i.e., hot and dry) are not favourable for H. halys and may limit its geographical range. Similarly, microclimatic conditions within plant ecosystems, from the canopy to the understory, may have a significant impact on the distribution of H. halys individuals. From this perspective, crop management can be oriented to provide an unsuitable environment for the insects, as defined by IPM. The microclimate can be altered by irrigation practices and pruning, which in turn may influence insect pest activity. For instance, sprinkler irrigation washing of foliage can repel the two-spotted spider mite, which favours dry conditions [57]. Similarly, a management strategy incorporating canopy manipulation is effective at reducing infestation of Drosophila suzukii, which is heavily influenced by relative humidity [58]. Furthermore, given that the distribution of insect species is known to be limited by areas with high relative values of VPD [59], data on the desiccation tolerance of H. halys can improve prediction of the distribution and movement of this important pest under different scenarios of changing climate. Finally, by improving knowledge on specific eco-physiological traits of H. halys, our data may promote the development of sustainable control strategies.

Author Contributions

S.T. and I.N. conceived the research; F.G. and G.P. performed the experiments; S.T., G.P. and M.B. analysed the data; F.G., G.P., S.T., M.B. and I.N. wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research is part of the DEBUG project funded by the Regione Lombardia, “Bando per il finanziamento dei progetti di ricerca in campo agricolo e forestale-D.D.S. 28 marzo 2018, n. 4403 CUP: J34I20000770009”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon request.

Acknowledgments

F.G. and G.P. were partially supported by the Doctoral School on the Agro-Food System (Agrisystem) at the Università Cattolica del Sacro Cuore (Piacenza, Italy).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Leskey, T.C.; Short, B.D.; Butler, B.R.; Wright, S.E. Impact of the invasive brown marmorated stink bug, Halyomorpha halys (Stål), in mid-Atlantic tree fruit orchards in the United States: Case studies of commercial management. Psyche 2012, 2012. [Google Scholar] [CrossRef] [Green Version]
  2. Leskey, T.C.; Nielsen, A.L. Impact of the invasive brown marmorated stink bug in north America and Europe: History, biology, ecology, and management. Annu. Rev. Entomol. 2018, 63, 599–618. [Google Scholar] [CrossRef] [Green Version]
  3. Morrison, W.R.; Lee, D.-H.; Short, B.D.; Khrimian, A.; Leskey, T.C. Establishing the behavioral basis for an attract-and-kill strategy to manage the invasive Halyomorpha halys in apple orchards. J. Pest. Sci. 2016, 89, 81–96. [Google Scholar] [CrossRef]
  4. Kuhar, T.P.; Kamminga, K. Review of the chemical control research on Halyomorpha halys in the USA. J. Pest. Sci. 2017, 90, 1021–1031. [Google Scholar] [CrossRef]
  5. Herlihy, M.V.; Talamas, E.J.; Weber, D.C. Attack and success of native and exotic parasitoids on eggs of halyomorpha halys in three maryland habitats. PLoS ONE 2016, 11, e0150275. [Google Scholar] [CrossRef] [Green Version]
  6. Castracani, C.; Bulgarini, G.; Giannetti, D.; Spotti, F.A.; Maistrello, L.; Mori, A.; Grasso, D.A. Predatory ability of the ant Crematogaster scutellaris on the brown marmorated stink bug Halyomorpha halys. J. Pest. Sci. 2017, 90, 1181–1190. [Google Scholar] [CrossRef]
  7. Raymann, K.; Shaffer, Z.; Moran, N.A. Antibiotic exposure perturbs the gut microbiota and elevates mortality in honeybees. PLoS Biol. 2017, 15, e2001861. [Google Scholar] [CrossRef]
  8. Sabbatini Peverieri, G.; Binazzi, F.; Marianelli, L.; Roversi, P.F. Lethal and sublethal effects of long-lasting insecticide-treated nets on the invasive bug Halyomorpha halys. J. Appl. Entomol. 2018, 142, 141–148. [Google Scholar] [CrossRef] [Green Version]
  9. Morrison, W.R.; Blaauw, B.R.; Short, B.D.; Nielsen, A.L.; Bergh, J.C.; Krawczyk, G.; Park, Y.L.; Butler, B.; Khrimian, A.; Leskey, T.C. Successful management of Halyomorpha halys (Hemiptera: Pentatomidae) in commercial apple orchards with an attract-and-kill strategy. Pest. Manag. Sci. 2019, 75, 104–114. [Google Scholar] [CrossRef] [Green Version]
  10. Krkač, M.; Špoljarić, D.; Bernat, S.; Arbanas, S.M. Method for prediction of landslide movements based on random forests. Landslides 2017, 14, 947–960. [Google Scholar] [CrossRef]
  11. Haye, T.; Moraglio, S.T.; Stahl, J.; Visentin, S.; Gregorio, T.; Tavella, L. Fundamental host range of Trissolcus japonicus in Europe. J. Pest. Sci. 2020, 93, 171–182. [Google Scholar] [CrossRef] [Green Version]
  12. Nielsen, A.L.; Chen, S.; Fleischer, S.J. Coupling developmental physiology, photoperiod, and temperature to model phenology and dynamics of an invasive heteropteran, Halyomorpha halys. Front. Physiol. 2016, 7, 165. [Google Scholar] [CrossRef] [Green Version]
  13. Lee, D.H.; Cullum, J.P.; Anderson, J.L.; Daugherty, J.L.; Beckett, L.M.; Leskey, T.C. Characterization of overwintering sites of the invasive brown marmorated stink bug in natural landscapes using human surveyors and detector canines. PLoS ONE 2014, 9, e91575. [Google Scholar] [CrossRef]
  14. Cira, T.M.; Venette, R.C.; Aigner, J.; Kuhar, T.; Mullins, D.E.; Gabbert, S.E.; Hutchison, W.D. Cold tolerance of Halyomorpha halys (Hemiptera: Pentatomidae) across geographic and temporal scales. Environ. Entomol. 2016, 45, 484–491. [Google Scholar] [CrossRef] [Green Version]
  15. Kriticos, D.J.; Kean, J.M.; Phillips, C.B.; Senay, S.D.; Acosta, H.; Haye, T. The potential global distribution of the brown marmorated stink bug, Halyomorpha halys, a critical threat to plant biosecurity. J. Pest. Sci. 2017, 90, 1033–1043. [Google Scholar] [CrossRef]
  16. Chown, S.L.; Nicolson, S.W. Insect Physiological Ecology: Mechanisms and Patterns; Oxford University Press: Oxford, UK, 2004. [Google Scholar]
  17. Edney, E.B. Water Balance in Land Arthropods; Springer: Berlin/Heidelberg, Germany, 1997. [Google Scholar]
  18. Salin, C.; Vernon, P.; Vannier, G. Effects of temperature and humidity on transpiration in adults of the lesser mealworm, Alphitobius diaperinus (Coleoptera: Tenebrionidae). J. Insect Physiol. 1999, 45, 907–914. [Google Scholar] [CrossRef]
  19. Danks, H.V. Dehydration in dormant insects. J. Insect Physiol. 2000, 46, 837–852. [Google Scholar] [CrossRef]
  20. Ciancio, J.J.; Turnbull, K.F.; Gariepy, T.D.; Sinclair, B.J. Cold tolerance, water balance, energetics, gas exchange, and diapause in overwintering brown marmorated stink bugs. J. Insect Physiol. 2021, 128, 104171. [Google Scholar] [CrossRef] [PubMed]
  21. Lockwood, J.A.; Story, R.N. Adaptive Functions of nymphal aggregation in the southern green stink bug, Nezara viridula (L.) (Hemiptera: Pentatomidae). Environ. Entomol. 1986, 15, 739–749. [Google Scholar] [CrossRef]
  22. Yoder, J.A.; Denlinger, D.L.; Wolda, H. Aggregation promotes water conservation during diapause in the tropical fungus beetle, Stenotarsus rotundus. Entomol. Exp. Appl. 1992, 63, 203–205. [Google Scholar] [CrossRef]
  23. Hirose, E.; Panizzi, A.R.; Cattelan, A.J. Effect of relative humidity on emergence and on dispersal and regrouping of first instar Nezara viridula (L.) (Hemiptera: Pentatomidae). Neotrop. Entomol. 2006, 35, 757–761. [Google Scholar] [CrossRef] [Green Version]
  24. Benoit, J.B.; Del Grosso, N.A.; Yoder, J.A.; Delinger, D.L. Resistance to dehydration between bouts of blood feeding in the bed bug, cimex lectularius, is enhanced by water conservation, aggregation, and quiescence. Am. J. Trop. Med. Hyg. 2007, 76, 987–993. [Google Scholar] [CrossRef] [Green Version]
  25. Benoit, J.B. Water management by dormant insects: Comparisons between dehydration resistance during summer aestivation and winter diapause. Aestivation 2010, 49, 209–229. [Google Scholar]
  26. Fisher, J.J.; Rijal, J.P.; Zalom, F.G. Temperature and humidity interact to influence brown marmorated stink bug (Hemiptera: Pentatomidae), survival. Environ. Entomol. 2021, 50, 390–398. [Google Scholar] [CrossRef]
  27. Skillman, V.P.; Wiman, N.G.; Lee, J.C. Nutrient declines in overwintering Halyomorpha halys populations. Entomol. Exp. Appl. 2018, 166, 778–789. [Google Scholar] [CrossRef]
  28. Simpson, G.L. gratia: Graceful ’ggplot’-based graphics and other functions for GAMs fitted using “mgcv”. R package version 0.6.0.9114. 2021. Available online: https://cran.r-project.org/package=gratia (accessed on 30 September 2021).
  29. Wood, S.N. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. R. Stat. Soc. Ser. B Stat. Methodol 2011, 73, 3–36. [Google Scholar] [CrossRef] [Green Version]
  30. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2020. [Google Scholar]
  31. Costi, E.; Haye, T.; Maistrello, L. Biological parameters of the invasive brown marmorated stink bug, Halyomorpha halys, in southern Europe. J. Pest. Sci. 2017, 90, 1059–1067. [Google Scholar] [CrossRef]
  32. Nixon, L.J.; Morrison, W.R.; Rice, K.B.; Brockerhoff, E.G.; Leskey, T.C.; Guzman, F.; Khrimian, A.; Goldson, S.; Rostás, M. Identification of volatiles released by diapausing brown marmorated stink bug, Halyomorpha halys (Hemiptera: Pentatomidae). PLoS ONE 2018, 13, e0191223. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Medal, J.; Smith, T.; Fox, A.; Cruz, A.S.; Poplin, A.; Hodges, A. Rearing the Brown Marmorated Stink Bug Halyomorpha halys (Heteroptera: Pentatomidae). Florida Entomol. 2012, 95, 800–802. [Google Scholar] [CrossRef]
  34. Ahearn, G.A. The control of water loss in desert tenebrionid beetles. J. Exp. Biol. 1970, 53, 573–595. [Google Scholar] [CrossRef]
  35. Castellví, F.; Perez, P.J.; Villar, J.M.; Rosell, J.I. Analysis of methods for estimating vapor pressure deficits and relative humidity. Agric. For. Meteorol. 1996, 82, 29–45. [Google Scholar] [CrossRef]
  36. Nobel, P.S. Physicochemical and Environmental Plant Physiology; Elsevier: Amsterdam, The Netherlands, 2009; ISBN 9780123741431. [Google Scholar]
  37. Bates, D.; Mächler, M.; Bolker, B.; Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 2015, 67. [Google Scholar] [CrossRef]
  38. Lüdecke, D.; Ben-Shachar, M.; Patil, I.; Waggoner, P.; Makowski, D. performance: An R package for assessment, comparison and testing of statistical models. J. Open Source Softw. 2021, 6, 3139. [Google Scholar] [CrossRef]
  39. Cavero, J.; Medina, E.T.; Puig, M.; Martínez-Cob, A. Sprinkler irrigation changes maize canopy microclimate and crop water status, transpiration, and temperature. Agron. J. 2009, 101, 854–864. [Google Scholar] [CrossRef]
  40. Bachofen, C.; D’Odorico, P.; Buchmann, N. Light and VPD gradients drive foliar nitrogen partitioning and photosynthesis in the canopy of European beech and silver fir. Oecologia 2020, 192, 323–339. [Google Scholar] [CrossRef] [PubMed]
  41. Benoit, J.B.; Denlinger, D.L. Suppression of water loss during adult diapause in the northern house mosquito, Culex pipiens. J. Exp. Biol. 2007, 210, 217–226. [Google Scholar] [CrossRef] [Green Version]
  42. Matzkin, L.; Watts, T.D.; Markow, T.A. Desiccation resistance in four drosophila species: Sex and population effects. Fly 2007, 1, 268–273. [Google Scholar] [CrossRef] [Green Version]
  43. Parkash, R.; Ranga, P. Sex-specific divergence for adaptations to dehydration stress in Drosophila kikkawai. J. Exp. Biol. 2013, 216, 3301–3313. [Google Scholar] [CrossRef] [Green Version]
  44. Lyons, C.L.; Coetzee, M.; Terblanche, J.S.; Chown, S.L. Desiccation tolerance as a function of age, sex, humidity and temperature in adults of the African malaria vectors Anopheles arabiensis and Anopheles funestus. J. Exp. Biol. 2014, 217, 3823–3833. [Google Scholar] [CrossRef] [Green Version]
  45. Terhzaz, S.; Alford, L.; Yeoh, J.G.; Marley, R.; Dornan, A.J.; Dow, J.A.; Davies, S.A. Renal neuroendocrine control of desiccation and cold tolerance by Drosophila suzukii. Pest. Manag. Sci. 2018, 74, 800–810. [Google Scholar] [CrossRef] [Green Version]
  46. Wang, C.-Y.; Bong, L.-J.; Neoh, K.-B. Adult paederus fuscipes (Coleoptera: Staphylinidae) beetles overcome water loss with increased total body water content, energy metabolite storage, and reduced cuticular permeability: Age, sex-specific, and mating status effects on desiccation. Environ. Entomol. 2019, 48, 911–922. [Google Scholar] [CrossRef]
  47. Woods, H.A.; Smith, J.N. Universal model for water costs of gas exchange by animals and plants. Proc. Natl. Acad. Sci. USA 2010, 107, 8469–8474. [Google Scholar] [CrossRef] [Green Version]
  48. Wiman, N.G.; Walton, V.M.; Shearer, P.W.; Rondon, S.I.; Lee, J.C. Factors affecting flight capacity of brown marmorated stink bug, Halyomorpha halys (Hemiptera: Pentatomidae). J. Pest. Sci. 2015, 88, 37–47. [Google Scholar] [CrossRef]
  49. Zachariassen, K.E. The water conserving physiological compromise of desert insects. Eur. J. Entomol. 1996, 93, 359–367. [Google Scholar]
  50. Addo-Bediako, A.; Chown, S.L.; Gaston, K.J. Revisiting water loss in insects: A large scale view. J. Insect Physiol. 2001, 47, 1377–1388. [Google Scholar] [CrossRef]
  51. Kühsel, S.; Brückner, A.; Schmelzle, S.; Heethoff, M.; Blüthgen, N. Surface area-volume ratios in insects. Insect Sci. 2017, 24, 829–841. [Google Scholar] [CrossRef] [PubMed]
  52. Koštál, V.; Stetina, T.; Poupardin, R.; Korbelová, J.; Bruce, A.W. Conceptual framework of the eco-physiological phases of insect diapause development justified by transcriptomic profiling. Proc. Natl. Acad. Sci. USA. 2017, 114, 8532–8537. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Yoder, J.A.; Grojean, N.C. Group influence on water conservation in the giant Madagascar hissing-cockroach, Gromphadorhina portentosa (Dictyoptera: Blaberidae). Physiol. Entomol. 1997, 22, 79–82. [Google Scholar] [CrossRef]
  54. Prowell, D.P.; McMichael, M.; Silvain, J.F. Multilocus genetic analysis of host use, introgression, and speciation in host strains of fall armyworm (Lepidoptera: Noctuidae). Ann. Entomol. Soc. Am. 2004, 97, 1034–1044. [Google Scholar] [CrossRef] [Green Version]
  55. Chambers, B.D.; Leskey, T.C.; Pearce, A.R.; Kuhar, T.P. Responses of Overwintering Halyomorpha halys (Hemiptera: Pentatomidae) to dead conspecifics. J. Econ. Entomol. 2019, 112, 1489–1492. [Google Scholar] [CrossRef]
  56. Papa, G.; Negri, I. Cannibalism in the brown marmorated stink bug halyomorpha halys (Stål). Insects 2020, 11, 643. [Google Scholar] [CrossRef] [PubMed]
  57. Wenninger, E.J.; Rashed, A.; Rondon, S.I.; Alyokhin, A.; Alvarez, J.M. Insect pests and their management. In Potato Production Systems; Springer International Publishing: Berlin/Heidelberg, Germany, 2020; pp. 283–345. [Google Scholar]
  58. Schöneberg, T.; Arsenault-Benoit, A.; Taylor, C.M.; Butler, B.R.; Dalton, D.T.; Walton, V.M.; Petran, A.; Rogers, M.A.; Diepenbrock, L.M.; Burrack, H.J.; et al. Pruning of small fruit crops can affect habitat suitability for Drosophila suzukii. Agric. Ecosyst. Environ. 2020, 294, 106860. [Google Scholar] [CrossRef]
  59. de la Vega, G.J.; Schilman, P.E. Using eco-physiological traits to understand the realized niche: The role of desiccation tolerance in Chagas disease vectors. Oecologia 2017, 185, 607–618. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Trend of the mean weight per insect in four groups of H. halys with different sample size recorded during the 20 days following diapause. The solid black line represents a smoothed model of the daily weight as inferred through GAMM. The shade grey area represents 95% confidence intervals.
Figure 1. Trend of the mean weight per insect in four groups of H. halys with different sample size recorded during the 20 days following diapause. The solid black line represents a smoothed model of the daily weight as inferred through GAMM. The shade grey area represents 95% confidence intervals.
Insects 12 00897 g001
Figure 2. Linear mixed model of the changes in transpiration (Tr) of 54 adults at different VPD. (a) Scatterplot of the observations recorded and contrasts between males and females under fed (b) and starved conditions (c). In (b,c), the solid lines and the shaded areas represent the model prediction and the 95% confidence intervals, respectively.
Figure 2. Linear mixed model of the changes in transpiration (Tr) of 54 adults at different VPD. (a) Scatterplot of the observations recorded and contrasts between males and females under fed (b) and starved conditions (c). In (b,c), the solid lines and the shaded areas represent the model prediction and the 95% confidence intervals, respectively.
Insects 12 00897 g002
Figure 3. Linear mixed model of the changes in transpiration (Tr) of 66 juvenile and adult insects at different VPD. Scatterplot of the measurements (a), and model prediction (b). The solid lines and shaded areas in (b) represent the model prediction and the 95% confidence intervals, respectively.
Figure 3. Linear mixed model of the changes in transpiration (Tr) of 66 juvenile and adult insects at different VPD. Scatterplot of the measurements (a), and model prediction (b). The solid lines and shaded areas in (b) represent the model prediction and the 95% confidence intervals, respectively.
Insects 12 00897 g003
Table 1. Choice counts between water vs. food (apple, seed, green bean) and p-value of the binomial test.
Table 1. Choice counts between water vs. food (apple, seed, green bean) and p-value of the binomial test.
Choicep-ValueProbability of Success95% Confidence Interval
Water144<2.20 × 10−160.86227540.8005445
0.9106489
Food23
Water442.08 × 10−50.78571430.6556046
0.8840778
Apples12
Water64<2.20 × 10−160.9696970.8947834
0.9963089
Seeds2
Water366.57 × 10−50.8000000.6540417
0.9042427
Green Beans9
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Grisafi, F.; Papa, G.; Barbato, M.; Tombesi, S.; Negri, I. Influence of Microclimate Factors on Halyomorpha halys Dehydration. Insects 2021, 12, 897. https://doi.org/10.3390/insects12100897

AMA Style

Grisafi F, Papa G, Barbato M, Tombesi S, Negri I. Influence of Microclimate Factors on Halyomorpha halys Dehydration. Insects. 2021; 12(10):897. https://doi.org/10.3390/insects12100897

Chicago/Turabian Style

Grisafi, Francesca, Giulia Papa, Mario Barbato, Sergio Tombesi, and Ilaria Negri. 2021. "Influence of Microclimate Factors on Halyomorpha halys Dehydration" Insects 12, no. 10: 897. https://doi.org/10.3390/insects12100897

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop