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Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill

The explosion of the Deepwater Horizon drilling platform created the largest marine oil spill in U.S. history. As part of the Natural Resource Damage Assessment process, we applied an innovative modeling approach to obtain upper estimates for occupancy and for number of manatees in areas potentially...

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Autores principales: Martin, Julien, Edwards, Holly H., Bled, Florent, Fonnesbeck, Christopher J., Dupuis, Jérôme A., Gardner, Beth, Koslovsky, Stacie M., Aven, Allen M., Ward-Geiger, Leslie I., Carmichael, Ruth H., Fagan, Daniel E., Ross, Monica A., Reinert, Thomas R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966779/
https://www.ncbi.nlm.nih.gov/pubmed/24670971
http://dx.doi.org/10.1371/journal.pone.0091683
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author Martin, Julien
Edwards, Holly H.
Bled, Florent
Fonnesbeck, Christopher J.
Dupuis, Jérôme A.
Gardner, Beth
Koslovsky, Stacie M.
Aven, Allen M.
Ward-Geiger, Leslie I.
Carmichael, Ruth H.
Fagan, Daniel E.
Ross, Monica A.
Reinert, Thomas R.
author_facet Martin, Julien
Edwards, Holly H.
Bled, Florent
Fonnesbeck, Christopher J.
Dupuis, Jérôme A.
Gardner, Beth
Koslovsky, Stacie M.
Aven, Allen M.
Ward-Geiger, Leslie I.
Carmichael, Ruth H.
Fagan, Daniel E.
Ross, Monica A.
Reinert, Thomas R.
author_sort Martin, Julien
collection PubMed
description The explosion of the Deepwater Horizon drilling platform created the largest marine oil spill in U.S. history. As part of the Natural Resource Damage Assessment process, we applied an innovative modeling approach to obtain upper estimates for occupancy and for number of manatees in areas potentially affected by the oil spill. Our data consisted of aerial survey counts in waters of the Florida Panhandle, Alabama and Mississippi. Our method, which uses a Bayesian approach, allows for the propagation of uncertainty associated with estimates from empirical data and from the published literature. We illustrate that it is possible to derive estimates of occupancy rate and upper estimates of the number of manatees present at the time of sampling, even when no manatees were observed in our sampled plots during surveys. We estimated that fewer than 2.4% of potentially affected manatee habitat in our Florida study area may have been occupied by manatees. The upper estimate for the number of manatees present in potentially impacted areas (within our study area) was estimated with our model to be 74 (95%CI 46 to 107). This upper estimate for the number of manatees was conditioned on the upper 95%CI value of the occupancy rate. In other words, based on our estimates, it is highly probable that there were 107 or fewer manatees in our study area during the time of our surveys. Because our analyses apply to habitats considered likely manatee habitats, our inference is restricted to these sites and to the time frame of our surveys. Given that manatees may be hard to see during aerial surveys, it was important to account for imperfect detection. The approach that we described can be useful for determining the best allocation of resources for monitoring and conservation.
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spelling pubmed-39667792014-03-31 Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill Martin, Julien Edwards, Holly H. Bled, Florent Fonnesbeck, Christopher J. Dupuis, Jérôme A. Gardner, Beth Koslovsky, Stacie M. Aven, Allen M. Ward-Geiger, Leslie I. Carmichael, Ruth H. Fagan, Daniel E. Ross, Monica A. Reinert, Thomas R. PLoS One Research Article The explosion of the Deepwater Horizon drilling platform created the largest marine oil spill in U.S. history. As part of the Natural Resource Damage Assessment process, we applied an innovative modeling approach to obtain upper estimates for occupancy and for number of manatees in areas potentially affected by the oil spill. Our data consisted of aerial survey counts in waters of the Florida Panhandle, Alabama and Mississippi. Our method, which uses a Bayesian approach, allows for the propagation of uncertainty associated with estimates from empirical data and from the published literature. We illustrate that it is possible to derive estimates of occupancy rate and upper estimates of the number of manatees present at the time of sampling, even when no manatees were observed in our sampled plots during surveys. We estimated that fewer than 2.4% of potentially affected manatee habitat in our Florida study area may have been occupied by manatees. The upper estimate for the number of manatees present in potentially impacted areas (within our study area) was estimated with our model to be 74 (95%CI 46 to 107). This upper estimate for the number of manatees was conditioned on the upper 95%CI value of the occupancy rate. In other words, based on our estimates, it is highly probable that there were 107 or fewer manatees in our study area during the time of our surveys. Because our analyses apply to habitats considered likely manatee habitats, our inference is restricted to these sites and to the time frame of our surveys. Given that manatees may be hard to see during aerial surveys, it was important to account for imperfect detection. The approach that we described can be useful for determining the best allocation of resources for monitoring and conservation. Public Library of Science 2014-03-26 /pmc/articles/PMC3966779/ /pubmed/24670971 http://dx.doi.org/10.1371/journal.pone.0091683 Text en © 2014 Martin et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Martin, Julien
Edwards, Holly H.
Bled, Florent
Fonnesbeck, Christopher J.
Dupuis, Jérôme A.
Gardner, Beth
Koslovsky, Stacie M.
Aven, Allen M.
Ward-Geiger, Leslie I.
Carmichael, Ruth H.
Fagan, Daniel E.
Ross, Monica A.
Reinert, Thomas R.
Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill
title Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill
title_full Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill
title_fullStr Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill
title_full_unstemmed Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill
title_short Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill
title_sort estimating upper bounds for occupancy and number of manatees in areas potentially affected by oil from the deepwater horizon oil spill
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966779/
https://www.ncbi.nlm.nih.gov/pubmed/24670971
http://dx.doi.org/10.1371/journal.pone.0091683
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