2021
DOI: 10.1007/s11252-021-01149-9
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Areas of ecological importance are exposed to risk from urban sky glow: Auckland, Aotearoa-New Zealand as a case study

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Cited by 9 publications
(10 citation statements)
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“…Lunar face had RVI = 1 in the averaged spatial model, indicating that although the increase in sky brightness from urban lighting and cloud coverage overshadowed the natural lunar cycle, it was not masked completely. This is in line with previous findings from New Zealand, where urban lighting in Auckland, a much larger city than Wellington, increased sky brightness significantly but did not completely mask the lunar cycle (McNaughton et al, 2022). This is also shown in the temporal model, where lunar face on its own was not significant, but the interaction between lunar face and time of night was significant, with a stronger effect of lunar face on sky brightness late at night, when urban lighting intensity was decreased.…”
Section: Masking Of the Lunar Cyclesupporting
confidence: 93%
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“…Lunar face had RVI = 1 in the averaged spatial model, indicating that although the increase in sky brightness from urban lighting and cloud coverage overshadowed the natural lunar cycle, it was not masked completely. This is in line with previous findings from New Zealand, where urban lighting in Auckland, a much larger city than Wellington, increased sky brightness significantly but did not completely mask the lunar cycle (McNaughton et al, 2022). This is also shown in the temporal model, where lunar face on its own was not significant, but the interaction between lunar face and time of night was significant, with a stronger effect of lunar face on sky brightness late at night, when urban lighting intensity was decreased.…”
Section: Masking Of the Lunar Cyclesupporting
confidence: 93%
“…Expected frequency of unnatural brightness nearly doubled with every 20km moving towards Wellington city centre from the North. This aligns well with my previous findings, where location (as a proxy for urban lighting intensity) was a significant predictor of sky brightness (see Results, Chapter 2), as well as the findings from other research, where population density is strongly related to sky brightness (Cinzano, 1998;Pun & So, 2012;McNaughton et al, 2022).…”
Section: Variation In Short-term Patterns Of Sky Brightnesssupporting
confidence: 92%
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“…Perceived safety risks and social fears can result in modification of the green space through lighting installation and the removal of dense vegetation and shrubs for clear sight lines (Sreetheran et al 2014, Evensen 2021). These societal demands on green spaces are likely to result in reduced biodiversity, impacting directly on vegetation through removal and modification (Crime Prevention through Environmental Design: CPTED; Cozens 2002), and indirectly on animals through the effects of habitat loss, increased noise and artificial light at night (Francis et al 2009, McNaughton et al 2022. However, Harris et al (2018) found that Melbourne residents ranked dense vegetation as highly preferred and suggest this may have been due to residents recognising the benefit of dense vegetation to wildlife, and that the vegetation in the photos was not close to a path.…”
Section: Pressures On Urban Green Spacementioning
confidence: 99%
“…Light pollution leads to a significant degree of adverse effects on the biological behavior of plants and animals, including the social life and health of human beings. The effects of urban lighting will also extend to the adjacent ecological protection areas [5], leading to more severe light pollution.…”
Section: Introductionmentioning
confidence: 99%