Journal article
Scale-dependent detection of the effects of harvesting a marine fish population
Marine ecology. Progress series (Halstenbek), Vol.444, pp.251-261
2012
DOI: 10.3354/meps09434
Abstract
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 simulta- neously 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 char- acterized 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 pop- ulations.
Details
- Title: Subtitle
- Scale-dependent detection of the effects of harvesting a marine fish population
- Creators
- Valerio BartolinoLorenzo CiannelliPaul SpencerThomas K WilderbuerKung Sik Chan
- Resource Type
- Journal article
- Publication Details
- Marine ecology. Progress series (Halstenbek), Vol.444, pp.251-261
- DOI
- 10.3354/meps09434
- ISSN
- 0171-8630
- eISSN
- 1616-1599
- Language
- English
- Date published
- 2012
- Academic Unit
- Statistics and Actuarial Science; Radiology
- Record Identifier
- 9983985810502771
Metrics
12 Record Views