ORIGINAL RESEARCH article

Front. Ecol. Evol., 16 February 2022

Sec. Behavioral and Evolutionary Ecology

Volume 10 - 2022 | https://doi.org/10.3389/fevo.2022.751288

Light Attraction in Carabid Beetles: Comparison Among Animals From the Inner City and a Dark Sky Reserve

  • 1. Animal Ecology, University of Potsdam, Potsdam, Germany

  • 2. Biologische Station Gülpe, Gülpe, Germany

Abstract

Artificial light at night (ALAN) is altering the behaviour of nocturnal animals in a manifold of ways. Nocturnal invertebrates are particularly affected, due to their fatal attraction to ALAN. This selective pressure has the potential to reduce the strength of the flight-to-light response in insects, as shown recently in a moth species. Here we investigated light attraction of ground beetles (Coleoptera: Carabidae). We compared among animals (three genera) from a highly light polluted (HLP) grassland in the centre of Berlin and animals collected at a low-polluted area in a Dark Sky Reserve (DSR), captured using odour bait. In an arena setting tested at night time, HLP beetles (n = 75 across all genera) showed a reduced attraction towards ALAN. Tested during daytime, HLP beetles were less active in an open field test (measured as latency to start moving), compared to DSR (n = 143). However, we did not observe a reduced attraction towards ALAN within the species most common at both sides, Calathus fuscipes (HLP = 37, DSR = 118 individuals) indicating that not all species may be equally affected by ALAN. Reduced attraction to ALAN in urban beetles may either be a result of phenotypic selection in each generation removing HLP individuals that are attracted to light, or an indication for ongoing evolutionary differentiation among city and rural populations in their light response. Reduced attraction to light sources may directly enhance survival and reproductive success of urban individuals. However, decrease in mobility may negatively influence dispersal, reproduction and foraging success, highlighting the selective pressure that light pollution may have on fitness, by shaping and modifying the behaviour of insects.

Introduction

Light pollution is defined as the alteration of natural light levels at night by anthropogenic artificial light sources (; ). It is no longer confined to urban areas, with the effects also visible in remote and rural areas, sometimes many kilometres away from the light source, i.e., sky glow (). Nocturnal invertebrates, including both flying and ground dwelling insects, are especially affected from light pollution due to their attraction towards outdoor illuminations, such as street lanterns, spotlights at sport events and festivals, tourist sightseeing highlights (; ), and even ornamental LED garden tools (; ; ).

Various function of natural light insects may explain how artificial light at night (ALAN) can interfere in the life history of insects in a powerful manner (). Natural light sources play a crucial role in the orientation of many insect species (; ). African Dung beetles (Scarabaeus satyrus) use the Milky Way (), moths (Noctua pronuba) are known to combine stars and moon light (), and sand hoppers (Talitrus saltator) maintain their nightly route by the moon (). Further, visual communication can also be part of reproductive behaviour: for example, firefly beetles (Lampyridae) depend on light signals to find suitable mating partners (). Polarised light, reflected from incoming light by aquatic surfaces, is used by aquatic insects, such as mayflies, to detect suitable oviposition locations (; ).

Previous studies have mainly investigated the attraction of invertebrates towards ALAN (flight-to-light response) which causes an increase in local mortality, either by higher risk of predation, exhaustion, and death by burning (). One third of attracted insects will suffer death before the next sunrise due to one or more of the previously named causes (; ). Epigaeal ground-dwelling organism such as ants, ground beetles, amphipods and harvestmen are also affected by ALAN and accumulate in higher abundances under artificial light sources (; ; ). This behaviour is the basis for the widespread use of light-traps as comprehensive method for assessing the diversity of insects in which the light-trap consist e.g., of a basic pit trap with an additional light source to increase the number of specimen captured. Also, light trapping is a very cost and time-efficient sampling method to produce qualitative and quantitative data on species occurrence and distribution in a short time period ().

Artificial bright light sources can work as an ecological trap (; ), i.e., reduce the fitness of animals attracted to them. In some cases they work as evolutionary traps, () implying large-scale effects on insect populations by adding a light specific mortality. Given their crucial role in ecosystems as pollinators and as pest control, this can potentially lead to a cascade across species networks ().

The massive decline of insect diversity and biomass across ecosystems in human dominated landscapes (; ; ) has often been attributed to habitat loss (e.g., land use change, agricultural intensification), chemical pollution (increased use of fertilizers), climate change, invasive species, or a combination of these factors. However, suggested that researchers possibly suffer a “diurnal bias,” in that most attention has been paid to daytime phenomena, and that we have not yet studied the potential effects of light on night time phenomena (). Light pollution is itself potentially a severe threat to biodiversity (; ). Still, ALAN it is often not recognised as potential driver: for example did not consider the potential role of ALAN on insect biomass decline, even though all study sites were located in the most light polluted areas of Germany [(), see Krefeld lightpollutionmap.info/]. Since many taxa show alteration of physiological and behavioural traits by, and fatal attraction to ALAN [review see ], thus, light pollution as a driving factor for decline cannot be excluded (; ). More recently, several years after Hölker et al.,’s proposal in 2010 to include light pollution in insects research, studies are beginning to investigate the role of light pollution when analysing cascading effects of insect decline ().

When looking at potential long-term consequences of light pollution as a threat to insect populations, nocturnal, light-attracted micromoth populations suffer a stronger decline than corresponding diurnal species not attracted by light (; ), demonstrating that, possibly combined with other factors, artificial night-time lighting affects moth populations (). also observed a reduced flight-to-light behaviour in moth population exposed to intense light pollution when compared to populations from Dark Sky Habitats ().

Given that alteration of activity patterns (e.g., increase, decrease, or shift of activity) are one of the main impacts of ALAN (), a possible, yet understudied outcome of constant light exposure in insects may be the general mobility decline, as suggested by . In urban open spaces, highly mobile individuals encounter artificial light sources at a higher likelihood, hence, they are more easily captivated by light than less mobile individuals. Once attracted, insects are not able to escape from the illuminated zone (“captivity effect”) and face death (), reducing fitness of more active individuals compared to less active ones in the same environment. It remains to be seen whether these disadvantages for highly mobile individuals have long-term consequences, including possible directional selection as suggested by .

In this study we investigate the attraction to light sources, and the importance of long-time exposure of carabid beetle populations by comparing animals from two populations – either originating from a grassland habitat exposed to intense light pollution for many decades, or from location exposed to low light pollution levels. Carabid beetles are known to show a positive phototaxis response to ALAN [() and see for some species turning immobile at illumination], and illumination can even result in a shift in species composition (; ). We hypothesised that (a) light polluted grassland harboured a different species community, than less polluted areas and (b) carabid beetles (from any genus) from highly light polluted (HLP) areas are less attracted to artificial light sources than their counterparts. Further, we investigated general activity pattern in an open field test and hypothesised that HLP beetles may be less mobile in their general activity when compared to beetles from low light pollution. We compared behaviour of several genera captured at both very light polluted urban or very dark rural sites, but also compared within populations of the same species captured at both sites.

Materials and Methods

Location and Animals

We collected carabid beetles from an urban area which has been exposed to intense light pollution over several decades in the Tiergarten (Central Berlin, Germany), and in rural areas with very low light pollution levels at the Biological Station Gülpe (Brandenburg, Germany), 80 km east of Berlin during August and September 2020 (Table 1 and Figure 1). The latter area was awarded as an “Sternenpark” [Dark Sky Reserve (DSR)] by the International Dark Sky Association (IDA) in 2014.

TABLE 1

PopulationLatitude/longitudeLight pollution radiance (10–9 Watt cm2 × sr)Sky brightness ratioSampling periodNumb. of captured beetles
Dark sky reserve (DSR)52°44023″N, 12°15018″O0.150.273August
September
93
74
High light pollution (HLP)52°51426″N, 13°37576″O75.5735.3August
September
66
88

Sampling sites of carabid beetles in Tiergarten (High Light pollution, HLP) and in Gülpe (Dark Sky Reserve, DSR) in 2020.

Light pollution levels (radiance and sky brightness) were taken from the lightpollutionmap.info ().

FIGURE 1

We trapped adult carabid beetles with ten wine-baited pitfall traps at both sites for 4 days and nights in August 2020 (93 animals at DSR, 66 at HLP) and for 2 days and four nights in September 2020 (74 animals in DSR and 88 at HLP). Traps were emptied every 12 h, i.e., after sunrise and during sunset to distinguish dark and light capture intervals. Beetles were kept groupwise in plastic boxes (1.3 l, 12.5 cm × 19 cm × 7.5 cm; item number RK1285A) and were fed with pinkie maggots (Lucilia Caesar) or seeds every day. Boxes included shelters (pinecones, moss, leaves from originated site) and were moistened every day. Boxes were kept in an open garden shed outside the sun, in which beetles were exposed to the natural light-day cycle to ensure no effect of changing light conditions. During this time in captivity, beetles were not exposed to any artificial light sources unless they were tested in the arena.

Animals were kept from 3–44 days until the start of the experiment. The attraction experiment and the open field test were conducted on two separate days for each animal. Beetles were released at their origin afterwards.

Characterisation of Artificial Light Source Solar Powered LED

The artificial light source used in the experiment consisted of commercial solar powered LED (SPLED) garden lamps (Conrad Electronics, Hirschau, Germany, Model 5721129) which contained a 4 cm × 6 cm solar panel in its black plastic head (diameter 105 mm) and one diode (LED). Mainly cold white light was emitted from the integrated diode, but with a high percentage of blue light (correlated colour temperature = 7250 K). The spectral irradiance pattern of these lamps was published in .1 The position of the diode and the shape of the diffusor created a small highly illuminated zone close by and around the LED lamp (radius r = 25 cm, illuminance Ev = 0.8 lx) and a further, less illuminated outer zone (r = 2.5 m, Ev < 0.1 lx). Each day the solar panel was placed in the sun to recharge its battery (1.2 V, 600 mAh).

Behavioural Experiments

Attraction Towards Artificial Light at Night

We experimentally measured the attraction towards an artificial light source in elongated arenas (60 cm long × 8.5 cm wide tracks) where one SPLED was attached to one side of track (yellow field, Appendix). Approach to the lamp by a beetle was quantified by its presence in an area nearest to the lamp (8.5 × 8.5 cm, called illuminated zone). Six beetles were tested simultaneously (runs) in six adjacent tracks, and the position of the lamps was swapped between subsequent runs. The beetles were randomly selected from either HLP or DSR origins sites and species and placed gently into the middle of the track when the experiment started and observed for 15 min. Location within/outside the illuminated zone was recorded every 15 s (total: 60 observation intervals). Experiments were conducted at night.

Activity in the Open Field Test

Activity of the carabid beetles were observed for 3 min in an open field test (round plastic Petri dish, diameter 13.8 cm, rim height: 2.5 cm) under a desk light (110–240 V, E14, max. 40 W, mean lx 276. 62 ± 27.6). The open field was separated into eight 1/8 sectors. Activity was measured by counting the number of line crossings by an individual. The open field was further divided into an outer and inner zone with the same area size (A = 74.78 cm2). The inner concentric zone was within a radius of (r = 4.8 cm), the outer a ring between inner and outer radius (r = 6.9 cm). Each beetle was released at one of the sectors in the outer zone and the following behaviour was recorded: time to start moving [latency to move (sec)] and number of line crossings (number of crossings). Open field were conducted during day times to also test for possible differences of main activity pattern of species.

Behavioural Analyses

Analyses of the individual behaviour were conducted for 218 beetles all species that occurred in both sites divided into 3 genera. Attraction towards the artificial light source was analysed in two sequences (hurdle model): firstly, a binary variable of attraction towards the illuminated zone (binomial value yes/no for the entire experiment) and secondly, if yes, the number of 15 s intervals spent in the illuminated zone.

In both sequences, general linear distribution models (GLMs) were used to analyse the effect of the origin (HLP vs. DSR) including the genus of the beetle species, the interaction term of light pollution*genus, the side of the attached LED, the capture interval of emptying the trap (day/night), the days in captivity and species-specific activity pattern (diurnal/nocturnal) as fixed factors. The species-specific activity pattern was defined by literature records, to be either nocturnal or diurnal (; ; ).

Activity in the open field test was analysed in two separate models [linear model (lm) for continuous variable (latency to start moving (seconds), generalized linear model (glm) for count data (number of sectors crossed)]. We included either the latency (seconds) to start moving, or the number of crossings of sector borders as a response variable, and, as fixed factors, we used genus, capture interval of emptying the traps (day/night), the days in captivity and species-specific activity pattern (diurnal/nocturnal).

Full models including all fixed factors were reduced via stepwise backwards model selection by comparing the Akaike Information Criterion (AIC). Factors that improved the model were included, even if the factor did not explain the variation. Factors genus and origin were always kept in the model. The interaction term (pollution*genus) was removed if it did not improve the model fit.

Across some variables, the addition of fixed factors as species-specific activity pattern (nocturnal/diurnal) and the capture interval of emptying the pit traps (morning/evening) did not improve the model (AIC selection) and did not explain variation in the variable impro. Thus, these factors were removed during the model reduction process.

The species Calathus fuscipes was captured with > 20 animals per origin, thus, we conducted a within-species comparison of behaviour among origins.

All analyses were done with R Version [4.0.3 (2020-10-10) using the lme4 package (version 1.1-25, ()] and figures always represent raw data.

Diversity Analysis

Species composition was compared among the plots, using the pit trapping rounds for animal collection as repeat. We analysed 11 sampling rounds (six rural and five urban with 11–60 individuals of 3–9 species captures) and removed three sampling rounds with < 3 species collected. Species composition was analysed using ordination to visualise the data, and multivariate, permutational analyses of variance (MPANOVA) to compare among the two plots (both with the R package vegan 2-5-5).

Results

Carabid Communities and Diversity

A total of 14 carabid species (n = 321, Genus Calathus, Harpalus, Amara and, only at DSR, Poecilus) were captured (Table 2), of which eight species (218 individuals, 3 genera) were recorded at both sites.

TABLE 2

SpeciesHLPDSRActivity patternPerc. night captures (HLP/DSR)
C. fuscipes (GOETZE, 1777)37118Nocturnal86/87
C. melanocephalus (LINNÉ, 1758)313Nocturnal100/38
H. anxius (DUFTSCHMIED, 1812)123Diurnal58/33
A. bifrons (GYLLENHAL, 1810)101Nocturnal100/100
C. ambiguus (PAYKULL, 1790)51Nocturnal80/100
H. affinis (SCHRANK, 1781)24Diurnal50/75
A. apricaria (PAYKULL, 1790)41Nocturnal50/0
A. aenea (DEGEER, 1774)22Diurnal100/50
only at HLP
H. smaragdinus (DUFTSCHMIED, 1812)76Nocturnal59
H. griseus (PANZER, 1796)3Nocturnal100
only at DSR
P. versicolor (STURM, 1824)18Diurnal22
H. rufipes (DE GEER, 1774)4Nocturnal100
H. pumilus (STURM, 1818)1Diurnal100
C. erratus (SAHLBERG, 1827)1Nocturnal0

Species captured by odour trapping in grassland habitats in the city (HLP) and in a Dark Sky Reserve (DSR).

Numbers refer to captured individuals, activity pattern refers to distribution of activity in response to natural light phases (; ; ) and the percentage of beetles captured during the night for HLP/DSR. Genera: Amara, Calathus, Harpalus, Poecilus.

The animal abundance [28.3 ± 14 (mean ± SD) animals per sampling round] and species richness (5 ± 1.9 species) did not differ among urban and rural sites (t-test abundance, t = 0.56, p = 0.59; Wilcoxon test species richness: W = 12.5, p = 0.711). However, their species composition was dissimilar between the rural and urban grassland plot [see Figure 2, MPANOVA (origin) = 9.9, p = 0.002, df = 1/10)], but without finding any difference in the Diversity Index (Shannon Wieder Index. urban: 1.2 ± 0.4, rural: 0.65 ± 0.2, student’s t = -1,5, df = 9, pr = 0.158).

FIGURE 2

Behaviour

Behavioural experiments were performed with 218 beetles belonging to eight species present in both origins (Table 2) from three genera: Amara (20 individuals, 3 Species), Calathus (177 individuals, 3 Species), and Harpalus (21 individuals, 2 Species).

A lower proportion of beetles from HLP (57%) went into the illuminated sector compared to DSR beetles (72%, Chi2 -Test, X2 = 4.1, df = 1, p = 0.041, Figure 3A).

FIGURE 3

Among those beetles that entered the illuminated zone (n = 146), the number of time intervals in the illuminated zoner was lower for HLP [n = 43, 8.5 ± 1.29 time intervals (Mean ± SE)] than in DSR (n = 103, 10.4 ± 1.02 time intervals; Table 3), accordingly the DSR individuals stayed longer in the illuminated zone than their HLP counterparts (glm, pollution (HLP): Chi2, df = 1, p = 0.04*, Figure 3B).

TABLE 3

Step 1: enter the illuminated sector
Step 2: time intervals in the illuminated sector
Fixed factorEstimateSEt-valuePr (>| t|)EstimateSEt-valuePr (>| t|)
Intercept0.680.671.020.312.380.317.680
Pollution (HLP)–0.710.33–2.140.0321*–0.320.16–1.990.048*
Genus (Calathus)–0.280.54–0.520.61–0.180.25–0.720.47
Genus (Harpalus)–0.130.68–0.190.850.120.320.380.70
Days in captivity0.030.021.510.130.010.011.920.06
Position LED–0.210.30–0.690.49removed
Captive interval (night)0.200.340.580.56–0.220.16–1.410.16

General linear distribution model analysis of light attraction of ground beetles (step 1: n = 218, step 2: n = 146, three genera) investigated in an elongated arena comparing animals originating from two areas with different light pollution exposure.

Effect sizes of HLP (highly light polluted) refer to Dark Sky Reserve (DSR). Effect sizes of genera refer to Amara and capture intervals to day capture. Variables that explained variation are highlighted in bold. Asterisks represent statistical significance (*p < 0.05).

Activity in Open Field

Beetles from HLP origin began moving slower [46 ± 6.7 (Mean ± SE) seconds] than beetles from DSR origin which initiated their movement after (26 ± 3.8) seconds [glm, pollution (HLP): Chi2, df = 1, p = 0.029].

Beetles originating from DSR crossed 42.7 ± 8.3 (mean ± SE) sectors and HLP beetles crossed 29.1 ± 5.4 sectors during the open-field test. Effect of pollution on the number of sectors crossed was only observed when looking at the effect size of the glm model (see Table 4), but were not supported in the final Anova output [negative glm, pollution (HLP): Chi2, df = 1, p = 0.106].

TABLE 4

Latency (seconds) to start moving
Numbers of sectors crossed
Fixed factorEstimateSEt-valuePr (>| t|)EstimateSEt-valuePr (>| t|)
Intercept1.250.225.6902.80.64.690
Pollution (HLP)0.250.122.200.029*–2.050.6–3.420.00***
Genus (Calathus)–0.140.18–0.780.43–1.350.58–2.330.00**
Genus (Harpalus)0.250.231.080.28–0.210.69–0.30.77
Days in captivity–0.010.01–2.110.036*0.010.011.420.16
Capture interval (night)–0.070.12–0.600.55removed
Activity pattern (Nocturnal)removed2.160.643.390.00***
Origin (HLP)* Genus (Calathus)removed1.820.622.940.00**
Origin (HLP)* Genus (Harpalus)removed2.310.753.080.00**

General linear distribution model for behavioural variables measured in an open field test with 218 ground beetles captured at two origins differing in light pollution intensity.

Effect size reports behavioural difference for beetles from highly light polluted (HLP) area to a Dark Sky Reserve (DSR). Genera are compared to the behaviour of Amara, capture intervals to day capture, species-specific activity pattern to diurnal. Variables that explained variation are highlighted in bold. Asterisks represent statistical significance (*p < 0.05, **p < 0.01, ***p < 0.00).

Nocturnal beetles had a higher number of crossings 40.5 ± 3.9 than the diurnal species 18.8 ± 3.7, in which nocturnal ones are more active than diurnal species in the open field test [negative glm, species-specific activity pattern (nocturnal): Chi2 -Test, df = 1, p = 0.019, Figure 4A].

FIGURE 4

The effect of origin was different among genera (Interaction pollution*genus: chi2, df = 2, p = 0.047*, Figure 4B) but in post hoc analyses no effects of origin within each genus were detected (all Turkey, p > 0.1).

Analyses Within Calathus fuscipes

In the most abundant species C. fuscipes with 37 and 118 individuals (HLP and DSR), differences in behaviour obtained from the beetle community were not confirmed. Effects of light pollution did not explain the percentage of animals which went into the illuminated zone, the times spent in it, or the number of crossings in the open field test [glm, pollution (HLP): Chi2, p > 0.5, see Tables 5, 6].

TABLE 5

Step 1: enter the illuminated sector
Step 2: time intervals in the illuminated sector
Fixed factorEstimateSEt-valuePr (>| t|)EstimateSEt-valuePr (>| t|)
Intercept0.990.442.260.0242.310.2210.420.00
Pollution (HLP)–0.620.40–1.550.122–0.120.20–0.610.54
Days in captivity0.010.020.540.590.010.011.260.21
Position LED–0.560.35–1.580.12removed
Captive interval (night)removed–0.310.19–1.610.11

General linear distribution model for behavioural variables measured in an open field test with 155 beetles C. fuscipes captured at two origins differing in light pollution intensity.

Effect size reports behavioural difference for beetles from highly light polluted (HLP) area to a Dark Sky Reserve (DSR). Capture intervals are compared to day capture. Variables that explained variation are highlighted in bold.

TABLE 6

Latency to start moving (seconds)
Number of sectors crossed
Fixed factorEstimateSEt-valuePr (>| t|)EstimateSEt-valuePr (>| t|)
Intercept2.320.395.980.002.310.2210.420.00
Pollution (HLP)0.590.331.790.076–0.120.20–0.610.54
Capture interval (night)–0.040.34–0.120.910.010.011.260.21
Days in captivity–0.020.02–1.500.14–0.310.19–1.610.11

General linear distribution model for behavioural variables {latency to start moving [log(seconds)], numbers of sectors crossed} measured in an open field test with 155 beetles C. fuscipes captured at two origins differing in light pollution intensity.

Effect size reports behavioural difference for beetles from highly light polluted (HLP) area to a Dark Sky Reserve (DSR). Capture intervals are compared to day capture. Variables that explained variation are highlighted in bold.

Discussion

Our study confirmed that urban carabid beetles have a reduced attraction to artificial light sources (ALAN), relative to individuals with rural origins. Effects of origin did not differ among the 14 species of three genera investigated, which were all common at both sites of origin. However, different from that found different flight-to-light responses in urban and rural moths of the same species, we did not find different responses within the species most common at both origins C. fuscipes.

The species C. fuscipes was the most abundant species in both origins and was also collected both during day and night (approx. 86% during night, 24% during day, see Table 2). This suggests that this species may be very resilient to light pollution. Likewise, the lack of differentiation among species could be seen as evidence that a systematic change in behavioural patterns due to ALAN has already happened and that it has comprehensive implications beyond singular species levels, while resilient and ubiquitous species, such as C. fuscipes, are not strongly affected.

A reduced attraction to light at night of urban insect populations may affect results of light trapping, which is often used to assess the diversity of insects. The use (or addition) of a light-independent survey method should therefore be advised.

Species in human-altered environments (e.g., through the introduction of light, invasive species) have lower population sizes, demonstrating the potentially negative effect of anthropogenic activity on insects (; ), including the fatal attraction to ALAN.

The findings in our study are coherent with the observation of reduction in flight-to-light behaviour in urban moth population seen by . This suggests that the reduction in light attraction (or even possible avoidance of light sources) can lead to a higher survival rate in urban population by reducing mortality caused by ALAN. Reduction in attraction outweighs potential benefits of light attraction, instead favouring individuals that are not inclined to move towards ALAN (; ). We also found a reduction of the general activity of urban beetles, compared to rural. The potential underlying mechanism, general mobility reduction (number of crossings or latency to start movement), which was confirmed in one of the two measurements in the open field.

The parameters of the open field highlight the different responses between the genera, as well as a need for more caution in further studies when including both diurnal and nocturnal species in analyses. These are not equally affected by light pollution (). Here, nocturnal beetles were more active than diurnal ones (Table 3), alas runs were done during daytime and should have been either undertaken in accordance to species-specific activity pattern or both during day and night time. Higher activity in in nocturnal beetles can be caused by the urge to escape direct light exposure to hide under soil or leaves, as it is common for nocturnal carabid beetles over day time (). Nonetheless, treatment was equal to both cohorts and only partly revealed expected lower activity in beetles from HLP.

General activity decline can constrain migration and exchange between habitat patches on a regional scale (), thereby restricting gene flow and limiting the inflow of genetic diversity (; ; ; ). This can impact persistence of meta-populations in urban green spaces () through negatively impacting reproduction success (). Further, limited genetic exchange between rural and urban habitats can lead to evolutionary differentiation of urban and rural populations with the potential to create new species ().

Much recent attention has been paid to light pollution and its manifold and complex impacts on individuals, populations and ecosystems. Our study demonstrates, firstly, that there is a behavioural change in urban population with high potential for adaptation, but with further need to investigate in long-term rearing experiments and in the physiological underlying mechanism; and secondly, that this behavioural change could negatively affect foraging capacity, dispersal and reproduction if lower activity levels are fully confirmed of urban settlers (; ). Previous research shows that rodents have reduced mobility or reduced foraging activity when exposed to increased illumination in open habitats (; ), but research regarding foraging success in insect under illumination is lacking.

In summary, light pollution can function as an agent of selection (; ) and can shape the behavioural responses towards ALAN in beetle communities. Nonetheless, light pollution is still on the rise in both intensity and in its distribution around the globe (; ), highlighting the need for action to develop lightning strategies that minimize the adverse ecological impacts. For example by preventing dark areas from being artificially lit, reduce trespassing of light sources, only illuminating surfaces intended to (by adjusting angle of light, baffles above lamps), changing the spectral composition of used light and further, to raise awareness about the conscious, sustainable use of light in our daily life [see review: , , ]. It is time to turn off the lights.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

VK and JE designed the experimental set up and research question. VK performed the animal trapping, experiments and hence, data collection, and organizing of the database. Both authors performed the statistical analyses and contributed to discussion, manuscript revision, read, and approved the submitted version.

Funding

This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projektnummer 491466077. This study was part of the project “rural-urban coupling” [Ministry for Education and Science BMBF (Bridging in Biodiversity Science (BIBS), package “Rural-urban coupling,” funding number 01LC1501B)].

Acknowledgments

We would like to thank the Biological Station Gülpe of the University of Potsdam for housing us and the carabid beetles and of course, the colleges of the research group “Animal Ecology” at the University of Potsdam. Additionally, we like to express our gratitude to Jens Esser and Michael Schmitt for their Coleoptera expertise, also Sascha Buchholz and Christopher Kyba for support during study planning.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fevo.2022.751288/full#supplementary-material

References

Summary

Keywords

light pollution, artificial light at night (ALAN), Carabidae beetles, environmental change, Illuminance, solar powered light-emitting diode

Citation

Kaunath V and Eccard JA (2022) Light Attraction in Carabid Beetles: Comparison Among Animals From the Inner City and a Dark Sky Reserve. Front. Ecol. Evol. 10:751288. doi: 10.3389/fevo.2022.751288

Received

31 July 2021

Accepted

26 January 2022

Published

16 February 2022

Volume

10 - 2022

Edited by

Davide M. Dominoni, University of Glasgow, United Kingdom

Reviewed by

Janine Bolliger, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Switzerland; Brett Michael Seymoure, Colorado State University, United States

Updates

Copyright

*Correspondence: Vera Kaunath,

This article was submitted to Behavioral and Evolutionary Ecology, a section of the journal Frontiers in Ecology and Evolution

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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