The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Mapping artificial lightscapes for ecological studies
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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Cites
USING CIRCUIT THEORY TO MODEL CONNECTIVITY IN ECOLOGY, EVOLUTION, AND CONSERVATION
McRae, B. H., Dickson, B. G., Keitt, T. H., & Shah, V. B. (2008) · Ecology · doi:10.1890/07-1861.1 · Cited by 2,244
Light Pollution as a Biodiversity Threat
Hölker, F., Wolter, C., Perkin, E. K., & Tockner, K. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2010.09.007 · Cited by 860 · cited 1×
“…about the effects of light pollution on the visibility of the night sky and the effects on scientific astronomy (Reigel 1973), there is a longstanding and growing base of evidence of a range of ecological impacts of artificial light (Longcore & Rich 2004; H€olker et al. 2010; Gaston et al. 2013).”
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Circuit‐theory applications to connectivity science and conservation
Dickson, B. G., Albano, C. M., Anantharaman, R., Beier, P., Fargione, J., Graves, T. A., Gray, M. E., Hall, K. R., Lawler, J. J., Leonard, P. B., et al. (2019) · Conservation Biology · doi:10.1111/cobi.13230 · Cited by 461
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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