Applying spatiotemporal models to monitoring data to quantify fish population responses to the Deepwater Horizon oil spill in the Gulf of Mexico-Reference-Cited by-同舟云学术

Applying spatiotemporal models to monitoring data to quantify fish population responses to the Deepwater Horizon oil spill in the Gulf of Mexico

Published:2018-08-18 Issue:9 Volume:190 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Ward Eric J.^ORCID,Oken Kiva L.,Rose Kenneth A.,Sable Shaye,Watkins Katherine,Holmes Elizabeth E.,Scheuerell Mark D.

Funder

National Ocean Service, USA

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/article/10.1007/s10661-018-6912-z/fulltext.html

Reference59 articles.

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2. Ainsworth, C. H., Paris, C. B., Perlin, N., Dornberger, L. N., Iii, W. F. P., Chancellor, E., et al. (2018). Impacts of the Deepwater Horizon oil spill evaluated using an end-to-end ecosystem model. PLoS One, 13(1), e0190840. https://doi.org/10.1371/journal.pone.0190840 .

3. Baltz, D. M., Thomas, R. G., & Chesney, E. J. (2003). Spotted seatrout habitat affinities in Louisiana. In Biology of the spotted seatrout (pp. 147–175). Boca Raton: CRC Press.

4. Besbeas, P., Freeman, S. N., Morgan, B. J. T., & Catchpole, E. A. (2002). Integrating mark–recapture–recovery and census data to estimate animal abundance and demographic parameters. Biometrics, 58(3), 540–547. https://doi.org/10.1111/j.0006-341X.2002.00540.x .

5. Beyer, J., Trannum, H. C., Bakke, T., Hodson, P. V., & Collier, T. K. (2016). Environmental effects of the Deepwater Horizon oil spill: a review. Marine Pollution Bulletin, 110(1), 28–51. https://doi.org/10.1016/j.marpolbul.2016.06.027 .

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