Cited by 71

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Mapping artificial lightscapes for ecological studies

Bennie, Jonathan, Davies, Thomas W., Inger, Richard, Gaston, Kevin J.·2014·Methods in Ecology and Evolution

Abstract

Summary: Artificial illumination of the night is increasing globally. There is growing evidence of a range of ecological impacts of artificial light and awareness of light pollution as a significant environmental issue. In urban and suburban areas, complex spatial patterns of light sources, structures and vegetation create a highly heterogeneous night‐time light environment for plants and animals. We developed a method for modelling the night‐time light environment at a high spatial resolution in a small urban area for ecological studies. We used the position and height of street lights, and digital terrain and surface models, to predict the direct light intensity at different wavelengths at different heights above the ground surface. Validation against field measurements of night‐time light showed that modelled light intensities in the visible and ultraviolet portions of the spectrum were accurate. We show how this model can be used to map biologically relevant lightscapes across an urban landscape. We also illustrate the utility of the model using night‐time light maps as resistance surfaces in the software package circuitscape to predict potential movement of model nocturnal species between habitat patches and to identify key corridors and barriers to movement and dispersal. Understanding the ecological effects of artificial light requires knowledge of the light environment experienced by organisms throughout the diurnal and annual cycles, during periods of activity and rest and during different life stages. Our approach to high‐resolution mapping of artificial lightscapes can be adapted to the sensitivity to light of different species and to other urban, suburban, rural and industrial landscapes.

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  • Even greater generality can result from 'species-agnostic' approaches to estimating ecological flows that base landscape resistance on the degree to which habitats are unaltered or otherwise modified by humans.

    “Even greater generality can result from ‘species-agnostic’ approaches to estimating ecological flows that base landscape resistance on the degree to which habitats are unaltered or otherwise modified by humans (e.g., Bennie et al. 2014; Dickson et al. 2017).”

    From Circuit‐theory applications to connectivity science and conservation (2019) · cites this paper as Bennie et al. 2014

    The ‘Application of model to an ecological system’ section models ecological connectivity using landscape resistance, supporting that part of the claim. But it sets resistance proportional to artificial light intensity for a hypothetical light-avoiding bat, not to overall human modification in a species-agnostic approach. The indexed passages provide no page number. (LLM, conf=0.86)

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Metadata

Authors
Bennie, J., Davies, T. W., Inger, R., & Gaston, K. J.
Affiliations
Environment and Sustainability Institute University of Exeter Penryn Cornwall TR10 9FE UK
Venue
Methods in Ecology and Evolution
Publisher
Wiley
Published
2014-04-29
Volume
5
Issue
6
Pages
534-540
ISSN
2041-210X
Cited by
71
References
2
Language
en
Funders
European Research Council (268504)

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