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A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem

Prince William Sound (PWS) is a semi-enclosed fjord estuary on the coast of Alaska adjoining the northern Gulf of Alaska (GOA). PWS is highly productive and diverse, with primary productivity strongly coupled to nutrient dynamics driven by variability in the climate and oceanography of the GOA and N...

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Autores principales: Harwell, Mark A., Gentile, John H., Cummins, Kenneth W., Highsmith, Raymond C., Hilborn, Ray, McRoy, C. Peter, Parrish, Julia, Weingartner, Thomas
Formato: Texto
Lenguaje:English
Publicado: Taylor & Francis 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938311/
https://www.ncbi.nlm.nih.gov/pubmed/20862192
http://dx.doi.org/10.1080/10807039.2010.501011
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author Harwell, Mark A.
Gentile, John H.
Cummins, Kenneth W.
Highsmith, Raymond C.
Hilborn, Ray
McRoy, C. Peter
Parrish, Julia
Weingartner, Thomas
author_facet Harwell, Mark A.
Gentile, John H.
Cummins, Kenneth W.
Highsmith, Raymond C.
Hilborn, Ray
McRoy, C. Peter
Parrish, Julia
Weingartner, Thomas
author_sort Harwell, Mark A.
collection PubMed
description Prince William Sound (PWS) is a semi-enclosed fjord estuary on the coast of Alaska adjoining the northern Gulf of Alaska (GOA). PWS is highly productive and diverse, with primary productivity strongly coupled to nutrient dynamics driven by variability in the climate and oceanography of the GOA and North Pacific Ocean. The pelagic and nearshore primary productivity supports a complex and diverse trophic structure, including large populations of forage and large fish that support many species of marine birds and mammals. High intra-annual, inter-annual, and interdecadal variability in climatic and oceanographic processes as drives high variability in the biological populations. A risk-based conceptual ecosystem model (CEM) is presented describing the natural processes, anthropogenic drivers, and resultant stressors that affect PWS, including stressors caused by the Great Alaska Earthquake of 1964 and the Exxon Valdez oil spill of 1989. A trophodynamic model incorporating PWS valued ecosystem components is integrated into the CEM. By representing the relative strengths of driver/stressors/effects, the CEM graphically demonstrates the fundamental dynamics of the PWS ecosystem, the natural forces that control the ecological condition of the Sound, and the relative contribution of natural processes and human activities to the health of the ecosystem. The CEM illustrates the dominance of natural processes in shaping the structure and functioning of the GOA and PWS ecosystems.
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spelling pubmed-29383112010-09-20 A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem Harwell, Mark A. Gentile, John H. Cummins, Kenneth W. Highsmith, Raymond C. Hilborn, Ray McRoy, C. Peter Parrish, Julia Weingartner, Thomas Hum Ecol Risk Assess Article Prince William Sound (PWS) is a semi-enclosed fjord estuary on the coast of Alaska adjoining the northern Gulf of Alaska (GOA). PWS is highly productive and diverse, with primary productivity strongly coupled to nutrient dynamics driven by variability in the climate and oceanography of the GOA and North Pacific Ocean. The pelagic and nearshore primary productivity supports a complex and diverse trophic structure, including large populations of forage and large fish that support many species of marine birds and mammals. High intra-annual, inter-annual, and interdecadal variability in climatic and oceanographic processes as drives high variability in the biological populations. A risk-based conceptual ecosystem model (CEM) is presented describing the natural processes, anthropogenic drivers, and resultant stressors that affect PWS, including stressors caused by the Great Alaska Earthquake of 1964 and the Exxon Valdez oil spill of 1989. A trophodynamic model incorporating PWS valued ecosystem components is integrated into the CEM. By representing the relative strengths of driver/stressors/effects, the CEM graphically demonstrates the fundamental dynamics of the PWS ecosystem, the natural forces that control the ecological condition of the Sound, and the relative contribution of natural processes and human activities to the health of the ecosystem. The CEM illustrates the dominance of natural processes in shaping the structure and functioning of the GOA and PWS ecosystems. Taylor & Francis 2010-08-23 2010 /pmc/articles/PMC2938311/ /pubmed/20862192 http://dx.doi.org/10.1080/10807039.2010.501011 Text en © 2010 Taylor & Francis http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Harwell, Mark A.
Gentile, John H.
Cummins, Kenneth W.
Highsmith, Raymond C.
Hilborn, Ray
McRoy, C. Peter
Parrish, Julia
Weingartner, Thomas
A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem
title A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem
title_full A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem
title_fullStr A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem
title_full_unstemmed A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem
title_short A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem
title_sort conceptual model of natural and anthropogenic drivers and their influence on the prince william sound, alaska, ecosystem
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938311/
https://www.ncbi.nlm.nih.gov/pubmed/20862192
http://dx.doi.org/10.1080/10807039.2010.501011
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