Under the influence of light: How light pollution disrupts personality and metabolism in hermit crabs

Velasque, Mariana; Denton, Jai A.; Briffa, Mark

doi:10.1016/j.envpol.2022.120594

Cited by 13 publications

(9 citation statements)

References 89 publications

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Section: Discussionmentioning

confidence: 97%

“…Relationships between cognition and behaviour have been increasingly reported in the literature [26,27], and are likely part of a more extended set of covariations involving physiological and life-history traits [50]. An earlier study has also reported ALAN-driven disruption of the relationship between behaviour and metabolism in hermit crabs [51]. While the evolutionary significance of the covariation between cognition and behaviour is not fully understood, they might be linked to fundamental life-history trade-offs as shown for other covariations [52,53].…”

Section: Discussionmentioning

confidence: 99%

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Embryonic exposure to artificial light at night impairs learning abilities and their covariance with behavioural traits in teleost fish

Lucon-Xiccato,

De Russi,

Cannicci

et al. 2023

Biol. Lett.

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The natural light cycle has profound effects on animals' cognitive systems. Its alteration owing to human activities, such as artificial light at night (ALAN), affects the biodiversity of mammalian and avian species by impairing their cognitive functions. The impact of ALAN on cognition, however, has not been investigated in aquatic species, in spite of the common occurrence of this pollution along water bodies. We exposed eggs of a teleost fish (the zebrafish Danio rerio ) to ALAN and, upon hatching, we measured larvae’ cognitive abilities with a habituation learning paradigm. Both control and ALAN-exposed larvae showed habituation learning, but the latter learned significantly slower, suggesting that under ALAN conditions, fish require many more events to acquire ecologically relevant information. We also found that individuals' learning performance significantly covaried with two behavioural traits in the control zebrafish, but ALAN disrupted one of these relationships. Additionally, ALAN resulted in an average increase in larval activity. Our results showed that both fish's cognitive abilities and related individual differences are negatively impacted by light pollution, even after a short exposure in the embryonic stage.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Embryonic exposure to artificial light at night impairs learning abilities and their covariance with behavioural traits in teleost fish

Lucon-Xiccato,

De Russi,

Cannicci

et al. 2023

Biol. Lett.

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“…Instead, organisms experience a higher metabolic rate, which can be associated with faster production of reactive oxygen species (ROS) and thus oxidative stress reducing lifespan, potentially via higher vulnerability to cellular damage. While ALAN has been shown to increase metabolic demands [57,58], cause overproduction of ROS and increase in oxidative damage from corals [47,48] to vertebrates, including humans [59,60], there is plenty of evidence that ALAN does not necessarily affect organisms via this pathway [61,62]. Alternatives can be endocrine disruptions such as depressed levels of T3, an important hormone for metamorphosis [50].…”

Section: Discussionmentioning

confidence: 99%

Impacts of artificial light at night on the early life history of two ecosystem engineers

Tidau,

Brough,

Gimenez

et al. 2023

Phil. Trans. R. Soc. B

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Sessile marine invertebrates play a vital role as ecosystem engineers and in benthic–pelagic coupling. Most benthic fauna develop through larval stages and the importance of natural light cycles for larval biology and ecology is long-established. Natural light–dark cycles regulate two of the largest ocean-scale processes that are fundamental to larvae's life cycle: the timing of broadcast spawning for successful fertilization and diel vertical migration for foraging and predator avoidance. Given the reliance on light and the ecological role of larvae, surprisingly little is known about the impacts of artificial light at night (ALAN) on the early life history of habitat-forming species. We quantified ALAN impacts on larval performance (survival, growth, development) of two cosmopolitan ecosystem engineers in temperate marine ecosystems, the mussel Mytilus edulis and the barnacle Austrominius modestus . Higher ALAN irradiance reduced survival in both species (57% and 13%, respectively). ALAN effects on development and growth were small overall, and different between species, time-points and parentage. Our results show that ALAN adversely affects larval survival and reiterates the importance of paternal influence on offspring performance. ALAN impacts on the early life stages of ecosystem engineering species have implications not only for population viability but also the ecological communities that these species support. This article is part of the theme issue ‘Light pollution in complex ecological systems’.

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“…And data analysis, as an integral part of efforts to understand light pollution, needs to be used effectively by all stakeholders in the pursuit of sustainable development [3] . For data processing, machine learning is mostly an effective approach in many cases, for example, Velasque M, Denton J A, and Briffa M [4] used a Bayesian mixture model to estimate mean behavioral changes as well as inter-and intra-individual bilevel responses to laboratory light when studying the effects of constant light on the personality traits and metabolism of European hermit crabs variation. The experimental results showed that light had no effect on the consistency of individual behavior, while boldness was related to light pollution risk levels.…”

Section: Introductionmentioning

confidence: 99%

A study of light pollution based on TOPSIS model

Zhu

2023

HSET

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Light pollution is a growing environmental problem that has a significant negative impact on humans and wildlife. In order to cope with this problem, a light pollution risk assessment model is developed in this paper. This model is built by the TOPSIS model and coefficient of variation method, by carefully selecting evaluation indicators and using statistical methods to determine their weights. After the solution, it was found that the distribution density of light pollution sources, population density, and biodiversity has the greatest influence on light pollution. To evaluate the effectiveness of the model, this paper applies it to 30 cities in China. Finally, it was found that the highest light pollution levels were found in suburban and urban areas, while the lowest light pollution levels were found in protected areas. However, in Inner Mongolia, the risk of light pollution was higher in rural areas than in urban and suburban areas. This finding emphasizes the importance of considering regional differences when developing mitigation strategies. Based on the findings of this paper, it is recommended that the density of light pollution sources be adjusted to mitigate its impact while focusing on urban and suburban areas. Overall, the light pollution risk assessment model developed in this paper is a valuable tool for policymakers and researchers to better understand the impacts of light pollution and develop effective mitigation strategies. Finally, this paper also conducts model extensions and evaluations.

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Under the influence of light: How light pollution disrupts personality and metabolism in hermit crabs

Cited by 13 publications

References 89 publications

Embryonic exposure to artificial light at night impairs learning abilities and their covariance with behavioural traits in teleost fish

Embryonic exposure to artificial light at night impairs learning abilities and their covariance with behavioural traits in teleost fish

Impacts of artificial light at night on the early life history of two ecosystem engineers

A study of light pollution based on TOPSIS model

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