2022
DOI: 10.1002/ece3.9157
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Long‐term effects of artificial nighttime lighting and trophic complexity on plant biomass and foliar carbon and nitrogen in a grassland community

Abstract: The introduction of artificial nighttime lighting due to human settlements and transport networks is increasingly altering the timing, intensity, and spectra of natural light regimes worldwide. Much of the research on the impacts of nighttime light pollution on organisms has focused on animal species. Little is known about the impacts of daylength extension due to outdoor lighting technologies on wild plant communities, despite the fact that plant growth and development are under photoperiodic control. In a fi… Show more

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Cited by 3 publications
(2 citation statements)
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References 59 publications
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“…Studies have found that primary producers respond to ALAN with changes in traits, phenology, biomass and structure [31,[33][34][35][36]. These changes at the base of food webs can have severe impacts on species interactions and the functioning of whole communities.…”
Section: (B) Primary Productionmentioning
confidence: 99%
“…Studies have found that primary producers respond to ALAN with changes in traits, phenology, biomass and structure [31,[33][34][35][36]. These changes at the base of food webs can have severe impacts on species interactions and the functioning of whole communities.…”
Section: (B) Primary Productionmentioning
confidence: 99%
“…Study of the physiological mechanisms by which plants adapt to artificial light at night will help to select the species suitable for urban plantations and, consequently, to determine the success of urban plantations. Indeed, few previous studies were conducted in the natural environment, and most of the earlier findings on artificial light at night (ALAN) were mainly focused on plant ecosystem sustainability, while the studies showing the effects of ALAN on plant physiological processes were reported in very small numbers [24][25][26][27]. Trees growing under street-light conditions experience an extremely heterogeneous environment; therefore, the use of traditional analytical approaches in the early detection of stress would be expensive and time-consuming [28].…”
mentioning
confidence: 99%