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...
Main Authors: | , , , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English unknown |
Published: |
Public Library of Science
|
Subjects: | |
Online Access: | https://ir.library.oregonstate.edu/concern/articles/1z40kv58w |
id |
ftoregonstate:ir.library.oregonstate.edu:1z40kv58w |
---|---|
record_format |
openpolar |
spelling |
ftoregonstate:ir.library.oregonstate.edu:1z40kv58w 2024-09-15T17:59:37+00:00 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 https://ir.library.oregonstate.edu/concern/articles/1z40kv58w English [eng] eng unknown Public Library of Science https://ir.library.oregonstate.edu/concern/articles/1z40kv58w In Copyright Article ftoregonstate 2024-07-22T18:06:04Z 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. Article in Journal/Newspaper Bering Sea ScholarsArchive@OSU (Oregon State University) |
institution |
Open Polar |
collection |
ScholarsArchive@OSU (Oregon State University) |
op_collection_id |
ftoregonstate |
language |
English unknown |
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. |
format |
Article in Journal/Newspaper |
author |
Chen, Kun Ciannelli, Lorenzo Decker, Mary Beth Ladd, Carol Cheng, Wei Zhou, Ziqian Chan, Kung-Sik |
spellingShingle |
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 |
author_facet |
Chen, Kun Ciannelli, Lorenzo Decker, Mary Beth Ladd, Carol Cheng, Wei Zhou, Ziqian Chan, Kung-Sik |
author_sort |
Chen, Kun |
title |
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_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_sort |
reconstructing source-sink dynamics in a population with a pelagic dispersal phase |
publisher |
Public Library of Science |
url |
https://ir.library.oregonstate.edu/concern/articles/1z40kv58w |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_relation |
https://ir.library.oregonstate.edu/concern/articles/1z40kv58w |
op_rights |
In Copyright |
_version_ |
1810436729370312704 |