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Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase

For many organisms, the reconstruction of source-sink dynamics is hampered by limited knowledge of the spatial assemblage of either the source or sink components or lack of information on the strength of the linkage for any source-sink pair. In the case of marine species with a pelagic dispersal pha...

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Autores principales: Chen, Kun, Ciannelli, Lorenzo, Decker, Mary Beth, Ladd, Carol, Cheng, Wei, Zhou, Ziqian, Chan, Kung-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4023943/
https://www.ncbi.nlm.nih.gov/pubmed/24835251
http://dx.doi.org/10.1371/journal.pone.0095316
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author Chen, Kun
Ciannelli, Lorenzo
Decker, Mary Beth
Ladd, Carol
Cheng, Wei
Zhou, Ziqian
Chan, Kung-Sik
author_facet Chen, Kun
Ciannelli, Lorenzo
Decker, Mary Beth
Ladd, Carol
Cheng, Wei
Zhou, Ziqian
Chan, Kung-Sik
author_sort Chen, Kun
collection PubMed
description For many organisms, the reconstruction of source-sink dynamics is hampered by limited knowledge of the spatial assemblage of either the source or sink components or lack of information on the strength of the linkage for any source-sink pair. In the case of marine species with a pelagic dispersal phase, these problems may be mitigated through the use of particle drift simulations based on an ocean circulation model. However, when simulated particle trajectories do not intersect sampling sites, the corroboration of model drift simulations with field data is hampered. Here, we apply a new statistical approach for reconstructing source-sink dynamics that overcomes the aforementioned problems. Our research is motivated by the need for understanding observed changes in jellyfish distributions in the eastern Bering Sea since 1990. By contrasting the source-sink dynamics reconstructed with data from the pre-1990 period with that from the post-1990 period, it appears that changes in jellyfish distribution resulted from the combined effects of higher jellyfish productivity and longer dispersal of jellyfish resulting from a shift in the ocean circulation starting in 1991. A sensitivity analysis suggests that the source-sink reconstruction is robust to typical systematic and random errors in the ocean circulation model driving the particle drift simulations. The jellyfish analysis illustrates that new insights can be gained by studying structural changes in source-sink dynamics. The proposed approach is applicable for the spatial source-sink reconstruction of other species and even abiotic processes, such as sediment transport.
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spelling pubmed-40239432014-05-21 Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase Chen, Kun Ciannelli, Lorenzo Decker, Mary Beth Ladd, Carol Cheng, Wei Zhou, Ziqian Chan, Kung-Sik PLoS One Research Article For many organisms, the reconstruction of source-sink dynamics is hampered by limited knowledge of the spatial assemblage of either the source or sink components or lack of information on the strength of the linkage for any source-sink pair. In the case of marine species with a pelagic dispersal phase, these problems may be mitigated through the use of particle drift simulations based on an ocean circulation model. However, when simulated particle trajectories do not intersect sampling sites, the corroboration of model drift simulations with field data is hampered. Here, we apply a new statistical approach for reconstructing source-sink dynamics that overcomes the aforementioned problems. Our research is motivated by the need for understanding observed changes in jellyfish distributions in the eastern Bering Sea since 1990. By contrasting the source-sink dynamics reconstructed with data from the pre-1990 period with that from the post-1990 period, it appears that changes in jellyfish distribution resulted from the combined effects of higher jellyfish productivity and longer dispersal of jellyfish resulting from a shift in the ocean circulation starting in 1991. A sensitivity analysis suggests that the source-sink reconstruction is robust to typical systematic and random errors in the ocean circulation model driving the particle drift simulations. The jellyfish analysis illustrates that new insights can be gained by studying structural changes in source-sink dynamics. The proposed approach is applicable for the spatial source-sink reconstruction of other species and even abiotic processes, such as sediment transport. Public Library of Science 2014-05-16 /pmc/articles/PMC4023943/ /pubmed/24835251 http://dx.doi.org/10.1371/journal.pone.0095316 Text en © 2014 Chen 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
Chen, Kun
Ciannelli, Lorenzo
Decker, Mary Beth
Ladd, Carol
Cheng, Wei
Zhou, Ziqian
Chan, Kung-Sik
Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase
title Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase
title_full Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase
title_fullStr Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase
title_full_unstemmed Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase
title_short Reconstructing Source-Sink Dynamics in a Population with a Pelagic Dispersal Phase
title_sort reconstructing source-sink dynamics in a population with a pelagic dispersal phase
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4023943/
https://www.ncbi.nlm.nih.gov/pubmed/24835251
http://dx.doi.org/10.1371/journal.pone.0095316
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