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An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development
Offshore renewable energy developments (OREDs) are projected to become common in the United States over the next two decades. There are both a need and an opportunity to guide efforts to identify and track impacts to the marine ecosystem resulting from these installations. A monitoring framework and...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific World Journal
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540755/ https://www.ncbi.nlm.nih.gov/pubmed/23319884 http://dx.doi.org/10.1100/2012/450685 |
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author | Shumchenia, Emily J. Smith, Sarah L. McCann, Jennifer Carnevale, Michelle Fugate, Grover Kenney, Robert D. King, John W. Paton, Peter Schwartz, Malia Spaulding, Malcolm Winiarski, Kristopher J. |
author_facet | Shumchenia, Emily J. Smith, Sarah L. McCann, Jennifer Carnevale, Michelle Fugate, Grover Kenney, Robert D. King, John W. Paton, Peter Schwartz, Malia Spaulding, Malcolm Winiarski, Kristopher J. |
author_sort | Shumchenia, Emily J. |
collection | PubMed |
description | Offshore renewable energy developments (OREDs) are projected to become common in the United States over the next two decades. There are both a need and an opportunity to guide efforts to identify and track impacts to the marine ecosystem resulting from these installations. A monitoring framework and standardized protocols that can be applied to multiple types of ORED would streamline scientific study, management, and permitting at these sites. We propose an adaptive and reactive framework based on indicators of the likely changes to the marine ecosystem due to ORED. We developed decision trees to identify suites of impacts at two scales (demonstration and commercial) depending on energy (wind, tidal, and wave), structure (e.g., turbine), and foundation type (e.g., monopile). Impacts were categorized by ecosystem component (benthic habitat and resources, fish and fisheries, avian species, marine mammals, and sea turtles) and monitoring objectives were developed for each. We present a case study at a commercial-scale wind farm and develop a monitoring plan for this development that addresses both local and national environmental concerns. In addition, framework has provided a starting point for identifying global research needs and objectives for understanding of the potential effects of ORED on the marine environment. |
format | Online Article Text |
id | pubmed-3540755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Scientific World Journal |
record_format | MEDLINE/PubMed |
spelling | pubmed-35407552013-01-14 An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development Shumchenia, Emily J. Smith, Sarah L. McCann, Jennifer Carnevale, Michelle Fugate, Grover Kenney, Robert D. King, John W. Paton, Peter Schwartz, Malia Spaulding, Malcolm Winiarski, Kristopher J. ScientificWorldJournal Research Article Offshore renewable energy developments (OREDs) are projected to become common in the United States over the next two decades. There are both a need and an opportunity to guide efforts to identify and track impacts to the marine ecosystem resulting from these installations. A monitoring framework and standardized protocols that can be applied to multiple types of ORED would streamline scientific study, management, and permitting at these sites. We propose an adaptive and reactive framework based on indicators of the likely changes to the marine ecosystem due to ORED. We developed decision trees to identify suites of impacts at two scales (demonstration and commercial) depending on energy (wind, tidal, and wave), structure (e.g., turbine), and foundation type (e.g., monopile). Impacts were categorized by ecosystem component (benthic habitat and resources, fish and fisheries, avian species, marine mammals, and sea turtles) and monitoring objectives were developed for each. We present a case study at a commercial-scale wind farm and develop a monitoring plan for this development that addresses both local and national environmental concerns. In addition, framework has provided a starting point for identifying global research needs and objectives for understanding of the potential effects of ORED on the marine environment. The Scientific World Journal 2012-12-23 /pmc/articles/PMC3540755/ /pubmed/23319884 http://dx.doi.org/10.1100/2012/450685 Text en Copyright © 2012 Emily J. Shumchenia et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shumchenia, Emily J. Smith, Sarah L. McCann, Jennifer Carnevale, Michelle Fugate, Grover Kenney, Robert D. King, John W. Paton, Peter Schwartz, Malia Spaulding, Malcolm Winiarski, Kristopher J. An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development |
title | An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development |
title_full | An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development |
title_fullStr | An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development |
title_full_unstemmed | An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development |
title_short | An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development |
title_sort | adaptive framework for selecting environmental monitoring protocols to support ocean renewable energy development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540755/ https://www.ncbi.nlm.nih.gov/pubmed/23319884 http://dx.doi.org/10.1100/2012/450685 |
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