Abstract
Global economic and population growth increase
the extent and intensity of artificial night lighting. From an
ecological perspective, this is light pollution, which causes
changes in reproductive physiology, migration and foraging of many species and ultimately leads to loss of biodiversity.
Some seabirds are intimately linked with the light features
of their environments because they are nocturnally active.
We report light-induced groundings of Cory´s shearwater
(Calonectris diomedea) during a 2-year study (2008 and
2009) in São Miguel Island, in the Azores archipelago, and
investigate the spatial correlation of locations of grounded
birds with an annual composite of remotely sensed stable
lights. Results indicate that 16.7% of fledglings are
attracted to lights. The exposure of shearwater colonies in
the study area to artificial night lighting is low overall. Four
colonies account for 87% of the grounded birds. The
distance each bird was found from the closest colony was
best explained by the ratio of the satellite-measured light
levels at the grounding spot to the light levels at the
assigned colony of origin. These results demonstrate that
satellite-observed nighttime lights are sufficient to assess
risk to marine birds at the scale of oceanic islands and
indicate their utility for monitoring the effectiveness of
programs to manage lighting to reduce risk for these species
and conducting global assessments of species vulnerability.
To minimize the impact on Cory´s shearwater and other
marine birds, we recommend measures such as reduction
and control of lighting intensity near colony locations,
while continuing and re-enforcing rescue campaigns.
Originalsprache | Englisch |
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Seiten (von - bis) | 147-155 |
Seitenumfang | 9 |
Fachzeitschrift | European Journal of Wildlife Research |
Issue | 1 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2012 |
Research Field
- Ehemaliges Research Field - Energy
- Ehemaliges Research Field - Innovation Systems and Policy
Schlagwörter
- Light pollution . Marine birds . Remote