Artificial light at night (ALAN), termed light pollution, is an increasingly important anthropogenic environmental pressure on wildlife. Exposure to unnatural lighting environments may have profound effects on animal physiology, particularly during early life. Here, we experimentally investigated for the first time the impact of ALAN on body mass and oxidative status during development, using nestlings of a free-living songbird, the great tit (Parus major), an important model species. Body mass and blood oxidative status were determined at baseline (=13 days after hatching) and again after a two night exposure to ALAN. Because it is very difficult to generalise the oxidative status from one or two measures we relied on a multi-biomarker approach. We determined multiple metrics of both antioxidant defences and oxidative damage: molecular antioxidants GSH, GSSG; antioxidant enzymes GPX, SOD, CAT; total non-enzymatic antioxidant capacity and damage markers protein carbonyls and TBARS. Light exposed nestlings showed no increase in body mass, in contrast to unexposed individuals. None of the metrics of oxidative status were affected. Nonetheless, our study provides experimental field evidence that ALAN may negatively affect free-living nestlings’ development and hence may have adverse consequences lasting throughout adulthood.
The rapid increase of artificial light at night (ALAN), termed ‘light pollution’, is leading to a loss of darkness with largely unknown consequences for biodiversity, ecosystems and ecological and evolutionary processes1,2. This is likely to be problematic for many species as light has a strong biological relevance for the daily and annual rhythms of life3. Recently it is becoming clear that ALAN affects a wide variety of behavioural traits, such as reproduction, foraging, sleep and migration4, and has also physiological effects, including alterations in immune response, cortisol levels, testosterone levels and glucose metabolism4,5.
The impact of ALAN on individual status may be especially relevant when the organism is exposed in early life6, as the environment in which a young individual develops has profound, long-lasting and often irreversible consequences throughout the individual lifetime7,8,9,10. For example, in the wild, body mass of young birds at fledging is a good predictor of survival and recruitment because body energy reserves help individuals to cope with the adverse conditions of winter11,12,13,14. Given that ALAN can influence foraging behaviour of parents15 and sleep behaviour of nestlings16, it is plausible to expect an impact of ALAN on individual health and condition through its effects on body mass. However, it may impact individual status (other than body mass) also through other mechanisms, such as changes in oxidative status, especially since ALAN affects the immune response and cortisol levels4.
In recent years, ecologists have been studying antioxidants and oxidative damage in free-living organisms and have integrated principles of oxidative stress into several core evolutionary concepts, such as life-history trade-offs (e.g. survival versus reproduction), senescence and sexual selection17. Oxidative stress is a biochemical condition of the cell that occurs when there is an imbalance between pro-oxidants and antioxidants in favour of pro-oxidants leading to oxidative damage to biomolecules18,19. It is thought that oxidative stress is an important candidate mechanism underlying the effects of environmental changes on organism fitness because of its effects on growth20, fertility21, immune protection22 and cellular senescence23. It was shown in European shags (Phalacrocorax aristotelis) that fledglings with higher oxidative stress had a lower recruitment probability24 and in great tits (Parus major) that red blood cell resistance to oxidative stress predicted fledging success25. Laboratory work also showed that ALAN could influence the individual oxidative status26, as ALAN reduces melatonin27,28 which is an enhancer of antioxidant enzymes gene expression and known as a reactive oxygen species scavenger29,30,31,32. However, whether and how light pollution affects oxidative stress in the wild is still a major research gap33.
The variable nature of interactions among oxidative status biomarkers makes it very difficult to generalise the oxidative status from one or two measures34,35,36. The low correlations among biomarkers that are commonly found also imply that each biomarker reveals independent information on the oxidative status34,35,36. Moreover, one must take into consideration the fact that there is a vast array of antioxidant molecules that might respond to greater production of reactive species, as well as a large number of damage compounds can be produced37. In addition, either low or high antioxidant levels do not necessarily indicate whether damage is, or, is not occurring19, thus it is important to measure more than one type of marker of antioxidant protection along with markers of oxidative damage. To this end, in this study, we have relied on a multi-biomarker approach in order to obtain a better understanding of oxidative status.
In this study, we assessed for the first time the impact of disturbance induced by ALAN on body mass and multiple metrics of oxidative status (including antioxidant defences and oxidative damage) in nestlings of a free-living songbird, the great tit. The great tit is an important model species in evolutionary and environmental research. Although laboratory studies have often focused on one sex (e.g. ref. 38), we took into account that in birds, and especially in great tits, there may be sex-specific differences in oxidative status, growth rate39,40 and environmental sensitivity (reviewed in ref. 41), and we therefore used both male and female nestlings.
Study area and general procedures
Data were collected between 8 and 25 May 2015 in a resident suburban nest box population of great tits in the surroundings of Wilrijk, Belgium (51°9′44″N, 4°24′15″E). In 1997, nest boxes were installed and since then this free-living population has been continuously monitored42,43. Nest boxes made out of plywood with a metal ceiling were of standard size with outer dimensions of 120 × 155 × 250 mm (width × depth × height) and a nest box opening of 30 mm ø. During the breeding season, we checked nest boxes every other day, and every day when close to hatching, to determine laying date, clutch size, hatching day and fledging day. Nestlings were provided with a unique metal ring when they were between 11 and 13 days old (hatch day = day 1).
While field studies on oxidative status (OS) often rely on single point measurements and experiments on free-living animals are often unfeasible44, we experimentally investigated effects of ALAN on OS using wild great tits and took repeated measurements as the latter is important for understanding physiological responses44 as well as to control for confounding variables (e.g. brood size) and variation generated by individuals. We randomly assigned 32 nests to one of the two treatment groups: a control (dark) and a light treated group. When nestlings were 13 days old, we collected a blood sample (≤150 μL) to determine their baseline levels of oxidative status and subsequently weighed them (0.1 g; digital balance; Kern TCB 200-1). We repeated this procedure after two nights when the nestlings were 15 days old, to assess changes in oxidative status and body mass. In the light group, nestlings were exposed to two consecutive nights of light (see light treatment), from day 13 to day 15.
Nests from the control and light group were always paired, primarily based on hatching date and similar brood size (7.0 ± 1.2 SD nestlings) and sampled on the same morning immediately after each other (between 8:00 and 12:00). The order of sampling the control and experimental nest(s) was kept the same within a pair but alternated between pairs so that there was no bias in the timing of sampling between the light and control group. Using a within individual and paired design is important as it eliminates many potential confounding variables45. In total, we obtained paired data on body mass and oxidative status from 16 nests in the control and 16 nests in the light group. From 115 nestlings in the control group and 109 in the light group we obtained body mass measurements. To get a representative sample on the oxidative status of each nest, we used blood samples of three nestlings for each nest, the heaviest, lightest and the median (N = 96), for further laboratory analyses. However, due to limitations in blood availability, sample size varies per oxidative status measurement (between 89–96; see Supplementary Table S1).
In each nest box we placed a small LED light (15 mm × 5 mm, taken from a RANEX 6000.217 LED headlight, Gilze, Netherlands), which was standardized to produce 3 lux on the bottom of the nest box (ISO-Tech ILM 1335 light meter; Corby, UK), under the nest box roof lid. We have used this light system successfully in earlier studies on effects of ALAN on sleep behaviour16,46.
In the light-treated group, lights were turned on at 19:00 in the evening (about two hours before sunset) and turned off at 07:00 (about one hour after sunrise) the following morning. The control group had lights installed inside the nest box but these were always turned off, leaving these nests in a natural dark situation. Both groups were otherwise treated the same.
We based the length (two nights) and light intensity (3 lux) of our experimental treatment on previous laboratory studies because experiments as ours have not been done in the wild until now. Previous experimental studies on the physiological effect of ALAN5,27,47,48,49,50,51 used light intensities ranging from 0.05 to 5 lux and higher (100 lux; see for an overview47). In the laboratory, effects of light manipulations on melatonin levels were difficult to detect at lower light levels ≤0.5 lux and were more obvious using 1.5 and 5.0 lux in great tits48. We chose a light intensity of 3 lux with which we still expected to find differences in oxidative status but which was not too high so that parents would abandon their nests when the light was turned on46. Animals living in light polluted areas are exposed to similar and/or higher light intensities, especially outside nest boxes or cavities46,49,50. Because there is now a shift towards energy efficient broad spectrum light sources, such as LED for street lighting, we chose white LED light which has a broad spectrum51,52. Because of the energy efficiency of LED light there is no warming effect of the lights inside the nest boxes. Laboratory studies often use experimental periods of several weeks or months (e.g. refs 27 and 48), which is unfeasible with free-living developing nestlings. Short term light treatments (e.g. two nights of half an hour) have also been used in combination with high light intensity (450 lux)38. Two nights of ALAN may thus induce effects on oxidative status but limit the risk of any nest abandonment46.
With the use of PCR we determined the sex of nestlings53. We measured seven parameters of oxidative status54 in red blood cells and one in plasma. Using HPLC, we measured two molecular antioxidants in red blood cells: reduced glutathione (GSH) and oxidised glutathione (GSSG) after which we calculated the ratio GSH/GSSG, which is used as an index of redox state, with lower values indicating higher oxidative stress55. We also estimated the total non-enzymatic antioxidant capacity (TAC) and measured activity of three major antioxidant enzymes in red blood cells that differ in the way they protect cells against oxidative stress54,56: glutathione peroxidase (GPX), superoxide dismutase (SOD) and catalase (CAT). Finally, we measured protein carbonyls (marker of protein oxidation) in red blood cells, as well as thiobarbituric acid reactive substances (TBARS; marker of lipid peroxidation) in plasma, as markers of oxidative stress. Further details are given in the Supplementary material.
For all statistical analyses we used R 3.1.257. We performed a linear mixed effect analysis (LMM) on the effect of ALAN on nestling body mass (using the lme4 package58; see the Supplementary material about the justification of the use of LMM). As fixed effects, we entered “treatment” (control, light), “day” (13, 15), “sex”, “brood size” as well as the interaction between “treatment” and “day” and the three-way interaction “treatment”, “sex” and “day”. We used as random effect “bird identity” which was nested in “nest identity” which was nested in “pair” (bird identity:nest identity:pair) to control for the repeated measures and to take the experimental design into account (see experimental procedure).
We performed separate LMMs with the different metrics of oxidative status as dependent parameters. As fixed effects, we entered “treatment” (control, light), “day” (13, 15), “sex”, “brood size”, “body mass” and the three-way interaction “treatment”, “sex” and “day”. The same random structure was used as for the analysis on body mass (bird identity:nest identity:pair). In order to meet model assumptions the parameters GSH/GSSG, GSSG, TAC, GPX, CAT, SOD and protein carbonyls were square root transformed and TBARS was log transformed. P-values obtained by a stepwise backward regression are given in results (full model output is given in Supplementary Tables S2 and S3) and where applicable, Tukey HSD tests were used for post-hoc analyses (lmerTest59).
This study was approved by the ethical committee of the University of Antwerp (ID number 2014-45) and performed in accordance with Belgian and Flemish laws. The Belgian Royal Institute for Natural Sciences (Koninklijk Belgisch Instituut voor Natuurwetenschappen) provided ringing licences for authors and technical personnel.
Artificial light at night had a significant effect on nestling body mass (F = 7.209, P = 0.009, Fig. 1; full model output is given in Supplementary Table S2). Nestlings from the control group gained body mass between day 13 and day 15 (0.5 ± 0.06 gram, t = 7.14, P < 0.001), while body mass of individuals from the light group did not change (t = 0.47, P = 0.6). Males (N = 107) had on average larger body masses than females (N = 117; average of day 13–15 respectively 15.9 ± 0.230 and 15.2 ± 0.231 gram; t = 5.38, P < 0.001).
There was no sex dependent effect of artificial light on any of the oxidative status metrics and ALAN did not affect any of the oxidative status biomarkers measured (see Table 1 for full model results and Supplementary Table S3 for final models). Individuals in the control group had higher levels of GSH than those in the light group but because this was independent of time (no time:treatment interaction) it is not an effect of ALAN (0.6 ± 0.22 mmol/gram RBCs square root transformed; t = 2.54, P = 0.02). Males in the control group had lower levels of GSSG than those in the light group but this is not an effect of ALAN because it was independent of time (no time:treatment:sex interaction; see Supplementary Table S4 for estimates). There was no difference in GSSG between females in the control or light group (t = −1.01, P = 0.32). There was a small decrease in TAC, GPX and CAT over time (Supplementary Table S5). While there was no observable effect of ALAN on oxidative damage, there was a difference between sexes in TBARS (F = 7.914, P = 0.005; Supplementary Table S6) with an increase over time for males but not for females.
Four individuals did not fledge after the experiment, one individual from the control group and three from the light group. This difference was not significant (X2 = 1.131, P = 0.288).
Using a sophisticated experiment, in which the within-individual and paired design is likely to eliminate many confounding variables, we show that artificial light at night (ALAN) affects the development of free-living nestlings. ALAN had a significant negative effect on body mass gain of nestlings. Markers of oxidative status (OS) appeared to be unaffected by our short term light treatment.
We found that nestlings exposed to artificial light, contrary to those in the control group (who gained body mass in accordance with results from earlier studies, e.g. ref. 60), did not gain any body mass during a period of two days. An earlier study in our population showed that artificial light inside the nest box significantly increased nestlings’ activity as they started begging during the night while in the dark they hardly begged at all16. This implies that ALAN causes not only adults16,46 but also nestlings to be more awake and thus more active. There are two possible and not mutually exclusive explanations of how increased begging and or activity could lead to the observed lack of gain in body mass.
Firstly, this increased activity may lead to increased energy expenditure and a deterioration of body condition61,62,63. Rodriguez-Girones, et al.64 experimentally showed that increased begging (during the day) of ring dove (Streptopelia risoria) and magpie (Pica pica) nestlings can indeed lead to a decreased growth rate. If in our case the parents were unable to compensate for the increased energy expenditure, through an increased feeding rate or time the following day, it could explain why the chicks did not gain any body mass. It is not clear whether ALAN effectively enhances foraging and or food provisioning (see e.g. refs 15 and 65) and even if it does, it may not be sufficient to compensate energy loss of the nestlings. For example in adult blackbirds (Turdus merula) extension of foraging time did not affect body mass66. Moreover, in our study, LED lights were installed inside the nest box and this light does not create an environment outside the nest box with sufficient light to be used by the parents to extend their feeding time. It is therefore unlikely that our treatment could have extended feeding time of the parents. Using the same light treatment inside a nest box during a different experiment, we did not find any effect of ALAN on the time of entry of the female in the evening and although females did leave the nest box earlier in the morning16, it remains to be examined whether this time, when it is still dark outside, can effectively be used to feed nestlings.
Secondly, a long term experimental study on house sparrow (Passer domesticus) nestlings showed that costs of begging also include physiological costs besides affecting growth62. Therefore, an alternative explanation of how increased begging (and activity) could lead to reduced growth is provided by the energy allocation hypothesis. This hypothesis predicts that an increased maintenance cost reduces the proportion of energy spent on growth67,68, which was found to be true for nestlings of red-winged blackbirds (Agelaius phoeniceus)69. Increased begging (activity) could also increase metabolic demand thereby leading to oxidative stress70. In magpie nestlings, increased begging reduced growth but nestlings maintained their oxidative status71. Maintenance of oxidative status could therefore potentially reduce the proportion of energy spent on increases in body mass (see discussion on effects on OS below and Casagrande, et al.72).
Given that our short term light treatment already affected body mass gain in a period of two days, significant differences in body mass may possibly arise at fledging if nestlings are exposed during their entire development to ALAN. Although we did not find an effect on fledging with the current short light treatment, the effect of ALAN on early development of nestlings may not be limited to body mass, but could also affect metabolism, immune competence and sexual attractiveness in adulthood7. Moreover, body mass seems to be a good proxy for condition as heavier nestlings have higher nutritional reserves73 resulting in higher survivorship and recruiting probabilities74,75,76. Verhulst, et al.77 showed that body condition during early development (weight on day 16) correlates with the quality of the breeding habitat that the birds later occupy, which is another indication that a reduced body condition through artificial light could have effects into adulthood.
We did not find any effect of ALAN on oxidative status. There was no effect on molecular antioxidants or oxidative status as measured by the ratio between glutathione and reduced glutathione. Activity of antioxidant enzymes (GPX, CAT and SOD) were not affected nor was the total antioxidant capacity (TAC). Neither did we find any evidence that ALAN increased oxidative damage as measured by the amount of protein oxidation or lipid peroxidation.
Nonetheless, we could have expected our treatment to affect oxidative status. Firstly, our experimental treatment which consisted of two nights of light inside the nest box was sufficient to reduce body mass gain of nestlings. Secondly, our earlier studies showed that a single night and a lower light intensity (1.6 lux instead of 3 lux) had profound effects on sleep of adult great tits as well as on begging behaviour/sleep of nestlings16,46. ALAN therefore likely causes nestlings to be more active during the night and this may increase metabolic demand leading to oxidative stress70. Thirdly, the same treatment as we used here (3 lux during two nights) significantly increased haptoglobin while decreasing nitric oxide47, which are two important indicators of immunity, physiological condition and health state78,79.
There are several possible explanations as to why ALAN did not affect blood oxidative status in our experiment. (1) The great tits in our population are from a semi-urbanized area which could have already affected their oxidative status physiology (through adaptation to their environment), making them less susceptible to the stress induced by artificial light. (2) The length of our treatment might not be sufficient to affect blood oxidative status. (3) ALAN may have affected OS in other tissues than blood. (4) The increase in haptoglobin47 and reduced growth rate (lack of gain in body mass) may mask other effects of ALAN on OS.
Rural blackbirds have been shown to experience higher blood oxidative damage and higher baseline blood antioxidant defences compared to city blackbirds80. To show differences in OS between adult city and rural blackbirds, Costantini, et al.80 used, during an 11 month period, a repeated immune challenge and chronic disturbance which is a much longer and stronger disturbance than our two days of artificial light. It could be that a longer period of light exposure is necessary to induce oxidative stress (but see Methodology and below of why this is difficult to do with free-living nestlings). Differences between blood and liver oxidative stress measurements have been observed earlier in Brandt’s voles (Lasiopodomys brandtii) where experimental effects on SOD differed between serum and liver measurements81. A study using Mongolian gerbils (Meriones unguiculatus) also showed that measures of oxidative stress, antioxidant and damage are tissue dependent82. However, a recent study found that, except for oxidised glutathione (GSSG) and the ratio between GSH and GSSG, there was generally good qualitative and quantitative agreement between blood and tissue oxidative stress measurements (malondialdehyde, GSH, SOD, CAT, GPX, vitamin C and E)83. It is therefore unlikely that oxidative status in other tissues was affected by ALAN. In order to counteract increases in oxidative damage compounds, haptoglobin might have been elevated84. This might have eliminated the need to upregulate other antioxidants like GPX and CAT. Light exposed nestlings did not gain any body mass indicating a reduced growth rate, thus lowering metabolic activity, which might have masked to some extent any impact of ALAN on (some) metrics of oxidative status.
While we are the first to experimentally study the effect of ALAN on the oxidative status of free-living developing animals, our study has some limitations. Firstly, we used a cavity nesting bird as a model species because we can experimentally manipulate its light environment while the experimental manipulation of light conditions of open-nesting birds is much more difficult. Although the light intensity which we used (3.0 lux) may not always be experienced by nestlings of cavity nesting birds, behavioural changes have already been observed in adult male great tits using very low light intensities of 0.05 lux48. Future studies may build upon our results and examine effects on oxidative status and body mass using lower light intensities and longer experimental treatments. Nonetheless, we believe that our results offer insight in how ALAN affects free-living birds during development and that these results can also be relevant for other animals exposed to light pollution as they are exposed to similar and even higher light intensities49,50. Secondly, we used a short term light treatment as a long term treatment in a free-living population presents several practical and ethical issues. For example, while a short term light treatment of one night during winter may already deter adult birds from entering the nest box46, a long term artificial light treatment would then increase the risk of deterring adult birds which would have fatal consequences for the nestlings. Our design allowed us to sample nestlings twice. If we had taken samples from nestlings before the age of 13 days to obtain a longer treatment, the nestlings might have been too small to draw a sufficient amount of blood. Taking blood (and opening the nest box) from nestlings older than 15 days might induce early fledging in nestlings which would likely decrease their chances of survival. While we used a short term light treatment behavioural studies showed either no habituation of animals to ALAN or even larger effects as a consequence of long term exposure to light at night48,85. We showed that a short term light treatment affects nestlings’ body mass but subsequent studies may show if these effects are enhanced or ameliorated over longer treatments or if additional effects, also with regard to oxidative status, would appear.
How to cite this article: Raap, T. et al. Artificial light at night affects body mass but not oxidative status in free-living nestling songbirds: an experimental study. Sci. Rep. 6, 35626; doi: 10.1038/srep35626 (2016).
Hölker, F., Wolter, C., Perkin, E. K. & Tockner, K. Light pollution as a biodiversity threat. Trends Ecol. Evol. 25, 681–682, 10.1016/j.tree.2010.09.007 (2010).
Rich, C. & Longcore, T. Ecological consequences of artificial night lighting (Island Press, 2005).
Bradshaw, W. E. & Holzapfel, C. M. Evolution of animal photoperiodism. Annu Rev Ecol Evol S 38, 1–25, 10.1146/annurev.ecolsys.37.091305.110115 (2007).
Swaddle, J. P. et al. A framework to assess evolutionary responses to anthropogenic light and sound. Trends Ecol. Evol. 30, 550–560, 10.1016/j.tree.2015.06.009 (2015).
Bedrosian, T. A., Fonken, L. K. & Nelson, R. J. Endocrine effects of circadian disruption. Annu. Rev. Physiol. 78, 109–131, 10.1146/annurev-physiol-021115-105102 (2016).
Fonken, L. K. & Nelson, R. J. Effects of light exposure at night during development. Curr Opin Behav Sci 7, 33–39, 10.1016/j.cobeha.2015.10.008 (2016).
Lindstrom, J. Early development and fitness in birds and mammals. Trends Ecol. Evol. 14, 343–348, 10.1016/S0169-5347(99)01639-0 (1999).
Henriksen, R., Rettenbacher, S. & Groothuis, T. G. Prenatal stress in birds: pathways, effects, function and perspectives. Neurosci. Biobehav. Rev. 35, 1484–1501, 10.1016/j.neubiorev.2011.04.010 (2011).
Harris, A. & Seckl, J. Glucocorticoids, prenatal stress and the programming of disease. Horm. Behav. 59, 279–289, 10.1016/j.yhbeh.2010.06.007 (2011).
Monaghan, P. Early growth conditions, phenotypic development and environmental change. Phil Trans R Soc B 363, 1635–1645, 10.1098/rstb.2007.0011 (2008).
Horak, P., Tegelmann, L., Ots, I. & Moller, A. P. Immune function and survival of great tit nestlings in relation to growth conditions. Oecologia 121, 316–322, 10.1007/s004420050934 (1999).
Naef-Daenzer, B., Widmer, F. & Nuber, M. Differential post-fledging survival of great and coal tits in relation to their condition and fledging date. J. Anim. Ecol. 70, 730–738, 10.1046/j.0021-8790.2001.00533.x (2001).
Magrath, R. D. Nestling weight and juvenile survival in the blackbird, Turdus-Merula. J. Anim. Ecol. 60, 335–351, 10.2307/5464 (1991).
Perrins, C. M. & McCleery, R. H. The effect of fledging mass on the lives of great tits Parus major. Ardea 89, 135–142 (2001).
Stracey, C. M., Wynn, B. & Robinson, S. K. Light pollution allows the northern mockingbird (Mimus polyglottos) to feed nestlings after dark. Wilson J Ornithol 126, 366–369, 10.1676/13-107.1 (2014).
Raap, T., Pinxten, R. & Eens, M. Artificial light at night disrupts sleep in female great tits (Parus major) during the nestling period, and is followed by a sleep rebound. Environ. Pollut. 215, 125–134, 10.1016/j.envpol.2016.04.100 (2016).
Costantini, D. Oxidative stress and hormesis in evolutionary ecology and physiology 1 edn (Springer, 2014).
Halliwell, B. & Gutteridge, J. M. C. Free radicals in biology and medicine. Free Radic. Biol. Med. 1, 331–332, 10.1016/0748-5514(85)90140-0 (1985).
Costantini, D. & Verhulst, S. Does high antioxidant capacity indicate low oxidative stress? Funct. Ecol. 23, 506–509, 10.1111/j.1365-2435.2009.01546.x (2009).
Stier, A., Massemin, S., Zahn, S., Tissier, M. L. & Criscuolo, F. Starting with a handicap: effects of asynchronous hatching on growth rate, oxidative stress and telomere dynamics in free-living great tits. Oecologia 179, 999–1010, 10.1007/s00442-015-3429-9 (2015).
Costantini, D., Rowe, M., Butler, M. W. & McGraw, K. J. From molecules to living systems: historical and contemporary issues in oxidative stress and antioxidant ecology. Funct. Ecol. 24, 950–959, 10.1111/j.1365-2435.2010.01746.x (2010).
Costantini, D. Oxidative stress in ecology and evolution: lessons from avian studies. Ecol. Lett. 11, 1238–1251, 10.1111/j.1461-0248.2008.01246.x (2008).
Finkel, T. & Holbrook, N. J. Oxidants, oxidative stress and the biology of ageing. Nature 408, 239–247, 10.1038/35041687 (2000).
Noguera, J. C., Kim, S. Y. & Velando, A. Pre-fledgling oxidative damage predicts recruitment in a long-lived bird. Biol. Lett. 8, 61–63, 10.1098/rsbl.2011.0756 (2012).
Losdat, S. et al. Nestling erythrocyte resistance to oxidative stress predicts fledging success but not local recruitment in a wild bird. Biol. Lett. 9, 20120888, 10.1098/rsbl.2012.0888 (2013).
Navara, K. J. & Nelson, R. J. The dark side of light at night: physiological, epidemiological, and ecological consequences. J. Pineal Res. 43, 215–224, 10.1111/j.1600-079X.2007.00473.x (2007).
Dominoni, D. M., Goymann, W., Helm, B. & Partecke, J. Urban-like night illumination reduces melatonin release in European blackbirds (Turdus merula): implications of city life for biological time-keeping of songbirds. Front Zool 10, 60, 10.1186/1742-9994-10-60 (2013).
Reiter, R. et al. Circadian mechanisms in the regulation of melatonin synthesis: disruption with light at night and the pathophysiological consequences. J. Exp. Med. 1, 13, 10.5455/jeim.101210.ir.001 (2011).
Hardeland, R., Coto-Montes, A. & Poeggeler, B. Circadian rhythms, oxidative stress, and antioxidative defense mechanisms. Chronobiol. Int. 20, 921–962, 10.1081/Cbi-120025245 (2003).
Cruz, A. et al. Effect of melatonin on cholestatic oxidative stress under constant light exposure. Cell Biochem. Funct. 21, 377–380, 10.1002/cbf.1046 (2003).
Reiter, R. J., Tan, D. X., Osuna, C. & Gitto, E. Actions of melatonin in the reduction of oxidative stress. A review. J. Biomed. Sci. 7, 444–458, 10.1159/000025480 (2000).
Tan, D. X. et al. The changing biological roles of melatonin during evolution: from an antioxidant to signals of darkness, sexual selection and fitness. Biol. Rev. Camb. Philos. Soc. 85, 607–623, 10.1111/j.1469-185X.2009.00118.x (2010).
Isaksson, C. Urbanization, oxidative stress and inflammation: a question of evolving, acclimatizing or coping with urban environmental stress. Funct. Ecol. 29, 913–923, 10.1111/1365-2435.12477 (2015).
Dotan, Y., Lichtenberg, D. & Pinchuk, I. Lipid peroxidation cannot be used as a universal criterion of oxidative stress. Prog. Lipid Res. 43, 200–227, 10.1016/j.plipres.2003.10.001 (2004).
Cohen, A. A. & McGraw, K. J. No simple measures for antioxidant status in birds: complexity in inter- and intraspecific correlations among circulating antioxidant types. Funct. Ecol. 23, 310–320, 10.1111/j.1365-2435.2009.01540.x (2009).
Costantini, D., Monaghan, P. & Metcalfe, N. B. Loss of integration is associated with reduced resistance to oxidative stress. J. Exp. Biol. 216, 2213–2220, 10.1242/jeb.083154 (2013).
Halliwell, B. & Gutteridge, J. M. Free radicals in biology and medicine. 4th edn (Oxford University Press, USA, 2007).
Ashkenazi, L. & Haim, A. Effect of light at night on oxidative stress markers in Golden spiny mice (Acomys russatus) liver. Comp. Biochem. Physiol. A Mol. Integr. Physiol. 165, 353–357, 10.1016/j.cbpa.2013.04.013 (2013).
Giordano, M., Costantini, D. & Tschirren, B. Sex-specific effects of prenatal and postnatal nutritional conditions on the oxidative status of great tit nestlings. Oecologia 177, 123–131, 10.1007/s00442-014-3100-x (2015).
Speakman, J. R. et al. Oxidative stress and life histories: unresolved issues and current needs. Ecol. Evol. 5, 5745–5757, 10.1002/ece3.1790 (2015).
Jones, K. S., Nakagawa, S. & Sheldon, B. C. Environmental sensitivity in relation to size and sex in birds: meta-regression analysis. Am. Nat. 174, 122–133, 10.1086/599299 (2009).
Van Duyse, E., Pinxten, R., Snoeijs, T. & Eens, M. Simultaneous treatment with an aromatase inhibitor and an anti-androgen decreases the likelihood of dawn song in free-living male great tits, Parus major. Horm. Behav. 48, 243–251, 10.1016/j.yhbeh.2005.02.013 (2005).
Rivera-Gutierrez, H. F., Pinxten, R. & Eens, M. Tuning and fading voices in songbirds: age-dependent changes in two acoustic traits across the life span. Anim. Behav. 83, 1279–1283, 10.1016/j.anbehav.2012.03.001 (2012).
van de Crommenacker, J. et al. Effects of immune supplementation and immune challenge on oxidative status and physiology in a model bird: implications for ecologists. J. Exp. Biol. 213, 3527–3535, 10.1242/jeb.045591 (2010).
Ruxton, G. & Colegrave, N. Experimental design for the life sciences (Oxford University Press, 2010).
Raap, T., Pinxten, R. & Eens, M. Light pollution disrupts sleep in free-living animals. Sci. Rep. 5, 13557, 10.1038/srep13557 (2015).
Raap, T., Casasole, G., Pinxten, R. & Eens, M. Early life exposure to artificial light at night affects the physiological condition: An experimental study on the ecophysiology of free-living nestling songbirds. Environ. Pollut. 10.1016/j.envpol.2016.08.024 (2016).
de Jong, M. et al. Dose-dependent responses of avian daily rhythms to artificial light at night. Physiol. Behav. 155, 172–179, 10.1016/j.physbeh.2015.12.012 (2016).
Gaston, K. J., Bennie, J., Davies, T. W. & Hopkins, J. The ecological impacts of nighttime light pollution: a mechanistic appraisal. Biol. Rev. 88, 912–927, 10.1111/brv.12036 (2013).
Dominoni, D., Quetting, M. & Partecke, J. Artificial light at night advances avian reproductive physiology. Proc. Biol. Sci. 280, 20123017, 10.1098/rspb.2012.3017 (2013).
Davies, T. W., Bennie, J., Inger, R., de Ibarra, N. H. & Gaston, K. J. Artificial light pollution: are shifting spectral signatures changing the balance of species interactions? Glob. Chang. Biol. 19, 1417–1423, 10.1111/gcb.12166 (2013).
Schubert, E. F. & Kim, J. K. Solid-state light sources getting smart. Science 308, 1274–1278, 10.1126/science.1108712 (2005).
Griffiths, R., Double, M. C., Orr, K. & Dawson, R. J. G. A DNA test to sex most birds. Mol. Ecol. 7, 1071–1075, 10.1046/j.1365-294x.1998.00389.x (1998).
Beaulieu, M. & Costantini, D. Biomarkers of oxidative status: missing tools in conservation physiology. Conserv Physiol 2, cou014, 10.1093/conphys/cou014 (2014).
Jones, D. P. Redefining oxidative stress. Antioxid. Redox Signal 8, 1865–1879, 10.1089/ars.2006.8.1865 (2006).
Moreno, I. et al. Antioxidant enzyme activity and lipid peroxidation in liver and kidney of rats exposed to microcystin-LR administered intraperitoneally. Toxicon 45, 395–402, 10.1016/j.toxicon.2004.11.001 (2005).
R: A language and environment for statistical computing v. 3.1.2 (R Foundation for Statistical Computing, Vianna, 2014).
lme4: Linear mixed-effects models using Eigen and S4 v. R package version 1.0-6 (2014).
lmerTest: Tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package) v. R package version 2.0-11 (2014).
Gebhardt-Henrich, S. G. & Noordwijk, A. J. V. The genetical ecology of nestling growth in the great tit. Environmental influences on the expression of genetic variances during growth. Funct. Ecol. 8, 469, 10.2307/2390071 (1994).
Kilner, R. M. A growth cost of begging in captive canary chicks. Proc. Natl. Acad. Sci. USA 98, 11394–11398, 10.1073/pnas.191221798 (2001).
Soler, M. et al. A long-term experimental study demonstrates the costs of begging that were not found over the short term. PLoS One 9, e111929, 10.1371/journal.pone.0111929 (2014).
Neuenschwander, S., Brinkhof, M. W. G., Kolliker, M. & Richner, H. Brood size, sibling competition, and the cost of begging in great tits (Parus major). Behav. Ecol. 14, 457–462, 10.1093/beheco/arg025 (2003).
Rodriguez-Girones, M. A., Zuniga, J. M. & Redondo, T. Effects of begging on growth rates of nestling chicks. Behav. Ecol. 12, 269–274, 10.1093/beheco/12.3.269 (2001).
Titulaer, M., Spoelstra, K., Lange, C. Y. & Visser, M. E. Activity patterns during food provisioning are affected by artificial light in free living great tits (Parus major). PLoS One 7, e37377, 10.1371/journal.pone.0037377 (2012).
Russ, A., Rüger, A. & Klenke, R. Seize the night: European Blackbirds (Turdus merula) extend their foraging activity under artificial illumination. J. Ornithol. 156, 123–131, 10.1007/s10336-014-1105-1 (2014).
Dawson, W. R. & Evans, F. C. Relation of growth and development to temperature regulation in nestling field and chipping sparrows. Physiol. Zool. 30, 315–327 (1957).
Dawson, W. R. & Evans, F. C. Relation of growth and development to temperature regulation in nestling vesper sparrows. The Condor 62, 329–340, 10.2307/1365163 (1960).
Olson, J. M. Growth, the development of endothermy, and the allocation of energy in red-winged blackbirds (Agelaius-Phoeniceus) during the nestling period. Physiol. Zool. 65, 124–152, 10.2307/30158243 (1992).
Metcalfe, N. B. & Alonso-Alvarez, C. Oxidative stress as a life-history constraint: the role of reactive oxygen species in shaping phenotypes from conception to death. Funct. Ecol. 24, 984–996, 10.1111/j.1365-2435.2010.01750.x (2010).
Moreno-Rueda, G., Redondo, T., Trenzado, C. E., Sanz, A. & Zuniga, J. M. Oxidative stress mediates physiological costs of begging in magpie (Pica pica) nestlings. PLoS One 7, e40367, 10.1371/journal.pone.0040367 (2012).
Casagrande, S., Pinxten, R. & Eens, M. Honest signaling and oxidative stress: the special case of avian acoustic communication. Frontiers in Ecology and Evolution 4, 10.3389/fevo.2016.00052 (2016).
Peig, J. & Green, A. J. New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method. Oikos 118, 1883–1891, 10.1111/j.1600-0706.2009.17643.x (2009).
Maness, T. J. & Anderson, D. J. Predictors of juvenile survival in birds. Ornithol Monogr 78, 1–55, 10.1525/om.2013.78.1.1 (2013).
Bowers, E. K. et al. Neonatal body condition, immune responsiveness, and hematocrit predict longevity in a wild bird population. Ecology 95, 3027–3034, 10.1890/14-0418.1 (2014).
Both, C., Visser, M. E. & Verboven, N. Density-dependent recruitment rates in great tits: the importance of being heavier. Proc. Biol. Sci. 266, 465–469, 10.1098/rspb.1999.0660 (1999).
Verhulst, S., Perrins, C. M. & Riddington, R. Natal dispersal of great tits in a patchy environment. Ecology 78, 864–872, 10.2307/2266065 (1997).
Matson, K. D., Horrocks, N. P., Versteegh, M. A. & Tieleman, B. I. Baseline haptoglobin concentrations are repeatable and predictive of certain aspects of a subsequent experimentally-induced inflammatory response. Comp. Biochem. Physiol. A Mol. Integr. Physiol. 162, 7–15, 10.1016/j.cbpa.2012.01.010 (2012).
Sild, E. & Horak, P. Nitric oxide production: an easily measurable condition index for vertebrates. Behav. Ecol. Sociobiol. 63, 959–966, 10.1007/s00265-009-0710-0 (2009).
Costantini, D., Greives, T. J., Hau, M. & Partecke, J. Does urban life change blood oxidative status in birds? J. Exp. Biol. 217, 2994–2997, 10.1242/jeb.106450 (2014).
Xu, Y. C., Yang, D. B., Speakman, J. R. & Wang, D. H. Oxidative stress in response to natural and experimentally elevated reproductive effort is tissue dependent. Funct. Ecol. 28, 402–410, 10.1111/1365-2435.12168 (2014).
Yang, D. B., Xu, Y. C., Wang, D. H. & Speakman, J. R. Effects of reproduction on immuno-suppression and oxidative damage, and hence support or otherwise for their roles as mechanisms underpinning life history trade-offs, are tissue and assay dependent. J. Exp. Biol. 216, 4242–4250, 10.1242/jeb.092049 (2013).
Margaritelis, N. V. et al. Blood reflects tissue oxidative stress: a systematic review. Biomarkers 20, 97–108, 10.3109/1354750x.2014.1002807 (2015).
Jelena, A. et al. Haptoglobin and the inflammatory and oxidative status in experimental diabetic rats: antioxidant role of haptoglobin. J. Physiol. Biochem. 69, 45–58, 10.1007/s13105-012-0186-7 (2013).
Yorzinski, J. L. et al. Artificial light pollution increases nocturnal vigilance in peahens. Peer J 3, e1174, 10.7717/peerj.1174 (2015).
We thank Geert Eens, Peter Scheys, Manrico Sebastiano, Griet Van Schoote and Anke Vermeulen for important support during fieldwork as well as Raïssa de Boer and Arne Iserbyt for their constructive comments on an earlier version of this manuscript. We are also grateful to Jasmijn Daans for help with DNA analyses and Danny Huybrecht for help with the HPLC analyses. This study was made possible through financial support from the University of Antwerp (to GC, RP, and ME), the FWO Flanders through a PhD fellowship (to TR, grant ID: 1.1.044.15N) and post-doc fellowship (to DC, grant ID: 12A7714N) as well as a FWO-project (to RP and ME, project ID: G.0A36.15N).
The authors declare no competing financial interests.
Electronic supplementary material
About this article
Cite this article
Raap, T., Casasole, G., Costantini, D. et al. Artificial light at night affects body mass but not oxidative status in free-living nestling songbirds: an experimental study. Sci Rep 6, 35626 (2016). https://doi.org/10.1038/srep35626
Environmental Science and Pollution Research (2022)
Environmental Evidence (2021)
Nature Ecology & Evolution (2021)
The Science of Nature (2021)
Slowly seeing the light: an integrative review on ecological light pollution as a potential threat for mollusks
Environmental Science and Pollution Research (2021)