Scale-dependent detection of the effects of harvesting a marine fish population
Certain ecological processes dominate others at particular scales, and the response of populations to exogenous and endogenous forces are typically scale dependent. In spite of this central role played by scale, the temporal and spatial scales of human impacts on ecosystems and populations remain al...
Main Authors: | , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English unknown |
Published: |
Inter-Research
|
Subjects: | |
Online Access: | https://ir.library.oregonstate.edu/concern/articles/70795909d |
id |
ftoregonstate:ir.library.oregonstate.edu:70795909d |
---|---|
record_format |
openpolar |
spelling |
ftoregonstate:ir.library.oregonstate.edu:70795909d 2024-09-15T17:59:30+00:00 Scale-dependent detection of the effects of harvesting a marine fish population Bartolino, Valerio Ciannelli, Lorenzo Spencer, Paul Wilderbuer, Thomas K. Chan, Kung-Sik https://ir.library.oregonstate.edu/concern/articles/70795909d English [eng] eng unknown Inter-Research https://ir.library.oregonstate.edu/concern/articles/70795909d Copyright Not Evaluated Article ftoregonstate 2024-07-22T18:06:05Z Certain ecological processes dominate others at particular scales, and the response of populations to exogenous and endogenous forces are typically scale dependent. In spite of this central role played by scale, the temporal and spatial scales of human impacts on ecosystems and populations remain almost unknown. We applied a multiscale regression analysis to investigate the spatiotemporal scales which characterize the fisheries exploitation of yellowfin sole Limanda aspera in the Bering Sea. We found that harvesting affects the abundance of this species simultaneously at local and regional scales. At the local scale harvesting produced a negative effect on local fish densities, particularly in those areas and seasons of high fish aggregation, when both the vulnerability of the fish and the fishing effort increase. At the regional scale harvesting was characterized by a widespread negative effect on the whole fish population. Our findings demonstrate that (1) detection of the fisheries exploitation effects on natural populations is sensitive to the scale of investigation, (2) fisheries harvesting can simultaneously affect multiple ecological scales which are not linearly correlated with each other. We developed analytical techniques for the detection of scale-dependent processes, which can be readily applied to other systems. Our results provide insights on the risks of extrapolating the effects of harvesting on natural populations across scales, making the issues of scale and space central to the management and conservation of natural populations. Keywords: Spatial distribution, Bering Sea, Local exploitation, Regional exploitation, Scale, Yellowfin sole 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 |
Certain ecological processes dominate others at particular scales, and the response of populations to exogenous and endogenous forces are typically scale dependent. In spite of this central role played by scale, the temporal and spatial scales of human impacts on ecosystems and populations remain almost unknown. We applied a multiscale regression analysis to investigate the spatiotemporal scales which characterize the fisheries exploitation of yellowfin sole Limanda aspera in the Bering Sea. We found that harvesting affects the abundance of this species simultaneously at local and regional scales. At the local scale harvesting produced a negative effect on local fish densities, particularly in those areas and seasons of high fish aggregation, when both the vulnerability of the fish and the fishing effort increase. At the regional scale harvesting was characterized by a widespread negative effect on the whole fish population. Our findings demonstrate that (1) detection of the fisheries exploitation effects on natural populations is sensitive to the scale of investigation, (2) fisheries harvesting can simultaneously affect multiple ecological scales which are not linearly correlated with each other. We developed analytical techniques for the detection of scale-dependent processes, which can be readily applied to other systems. Our results provide insights on the risks of extrapolating the effects of harvesting on natural populations across scales, making the issues of scale and space central to the management and conservation of natural populations. Keywords: Spatial distribution, Bering Sea, Local exploitation, Regional exploitation, Scale, Yellowfin sole |
format |
Article in Journal/Newspaper |
author |
Bartolino, Valerio Ciannelli, Lorenzo Spencer, Paul Wilderbuer, Thomas K. Chan, Kung-Sik |
spellingShingle |
Bartolino, Valerio Ciannelli, Lorenzo Spencer, Paul Wilderbuer, Thomas K. Chan, Kung-Sik Scale-dependent detection of the effects of harvesting a marine fish population |
author_facet |
Bartolino, Valerio Ciannelli, Lorenzo Spencer, Paul Wilderbuer, Thomas K. Chan, Kung-Sik |
author_sort |
Bartolino, Valerio |
title |
Scale-dependent detection of the effects of harvesting a marine fish population |
title_short |
Scale-dependent detection of the effects of harvesting a marine fish population |
title_full |
Scale-dependent detection of the effects of harvesting a marine fish population |
title_fullStr |
Scale-dependent detection of the effects of harvesting a marine fish population |
title_full_unstemmed |
Scale-dependent detection of the effects of harvesting a marine fish population |
title_sort |
scale-dependent detection of the effects of harvesting a marine fish population |
publisher |
Inter-Research |
url |
https://ir.library.oregonstate.edu/concern/articles/70795909d |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_relation |
https://ir.library.oregonstate.edu/concern/articles/70795909d |
op_rights |
Copyright Not Evaluated |
_version_ |
1810436608497811456 |