Predicting the impacts of wind farms on seabirds: An individual-based model
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting the impacts of wind farms on seabirds: An individual-based model
Authors
Keywords
-
Journal
JOURNAL OF APPLIED ECOLOGY
Volume 55, Issue 2, Pages 503-515
Publisher
Wiley
Online
2017-08-14
DOI
10.1111/1365-2664.12996
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Effectiveness of social information used by seabirds searching for unpredictable and ephemeral prey
- (2016) Charlotte Boyd et al. BEHAVIORAL ECOLOGY
- Lack of sound science in assessing wind farm impacts on seabirds
- (2016) Rhys E. Green et al. JOURNAL OF APPLIED ECOLOGY
- Changes in behaviour drive inter-annual variability in the at-sea distribution of northern gannets
- (2016) V. Warwick-Evans et al. MARINE BIOLOGY
- Adult and juvenile European seabirds at risk from marine plundering off West Africa
- (2015) David Gremillet et al. BIOLOGICAL CONSERVATION
- Three-dimensional tracking of a wide-ranging marine predator: flight heights and vulnerability to offshore wind farms
- (2015) Ian R. Cleasby et al. JOURNAL OF APPLIED ECOLOGY
- Time-in-area represents foraging activity in a wide-ranging pelagic forager
- (2015) V Warwick-Evans et al. MARINE ECOLOGY PROGRESS SERIES
- Time-in-area represents foraging activity in a wide-ranging pelagic forager
- (2015) V Warwick-Evans et al. MARINE ECOLOGY PROGRESS SERIES
- Individual-based modelling of resource competition to predict density-dependent population dynamics: a case study with white storks
- (2014) Damaris Zurell et al. OIKOS
- When things go wrong: intra-season dynamics of breeding failure in a seabird
- (2014) A. Ponchon et al. Ecosphere
- A simulation model coupling the behaviour and energetics of a breeding central place forager to assess the impact of environmental changes
- (2013) R. Langton et al. ECOLOGICAL MODELLING
- How many seabirds do we need to track to define home-range area?
- (2013) Louise M. Soanes et al. JOURNAL OF APPLIED ECOLOGY
- Assessing vulnerability of marine bird populations to offshore wind farms
- (2013) Robert W. Furness et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Space Partitioning Without Territoriality in Gannets
- (2013) E. D. Wakefield et al. SCIENCE
- Tracking seabirds to identify ecologically important and high risk marine areas in the western North Atlantic
- (2012) W.A. Montevecchi et al. BIOLOGICAL CONSERVATION
- Industrial fishing, no-take zones and endangered penguins
- (2012) L. Pichegru et al. BIOLOGICAL CONSERVATION
- Quantitative Assessment of Current Risks to Harlequin Ducks in Prince William Sound, Alaska, from theExxon ValdezOil Spill
- (2012) Mark A. Harwell et al. HUMAN AND ECOLOGICAL RISK ASSESSMENT
- Evaluating the statistical power of detecting changes in the abundance of seabirds at sea
- (2012) Ilya M. D. Maclean et al. IBIS
- Energy budgets reveal equal benefits of varied migration strategies in northern gannets
- (2012) Stefan Garthe et al. MARINE BIOLOGY
- An index to assess the health and benefits of the global ocean
- (2012) Benjamin S. Halpern et al. NATURE
- Short-term ecological effects of an offshore wind farm in the Dutch coastal zone; a compilation
- (2011) H J Lindeboom et al. Environmental Research Letters
- The ODD protocol: A review and first update
- (2010) Volker Grimm et al. ECOLOGICAL MODELLING
- Individual responses of seabirds to commercial fisheries revealed using GPS tracking, stable isotopes and vessel monitoring systems
- (2010) Stephen C. Votier et al. JOURNAL OF APPLIED ECOLOGY
- Northern gannets anticipate the spatio-temporal occurrence of their prey
- (2010) E. Pettex et al. JOURNAL OF EXPERIMENTAL BIOLOGY
- Radio-telemetry as a tool to define protected areas for seabirds in the marine environment
- (2009) Linda J. Wilson et al. BIOLOGICAL CONSERVATION
- Can Ethograms Be Automatically Generated Using Body Acceleration Data from Free-Ranging Birds?
- (2009) Kentaro Q. Sakamoto et al. PLoS One
- MORPH—An individual-based model to predict the effect of environmental change on foraging animal populations
- (2008) Richard A. Stillman ECOLOGICAL MODELLING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started