Journal article
Spatial fisheries ecology: Recent progress and future prospects
Journal of marine systems, Vol.71(3), pp.223-236
2008
DOI: 10.1016/j.jmarsys.2007.02.031
Abstract
We review recent progresses made in the study of fish distribution and survival over space — i.e., fisheries spatial ecology. This is achieved by first surveying the most common statistical approaches and relative challenges associated with the analysis of fisheries spatial data, loosely grouped in geostatistical and regression approaches. Then we review a selected number of case-studies implementing the discussed techniques. We conclude by proposing new areas of statistical and ecological research to further our understanding of how fish distribute and survive in space. This review serves a dual purpose by emphasizing the scientific importance of studying spatial interactions to better understand the temporal dynamics of fish abundance, and by promoting the development of new analytical and ecological approaches for the analysis of spatial data. Through our survey we cover different statistical techniques, marine ecosystems and life stages. This analytical, geographic and ontogenetic variety is also purposely selected to highlight the importance of comparative and multidisciplinary studies across diverging ecological disciplines, ecosystems and life stages. Besides having a general ecological relevance this review also bears a more applied significance, owing to the increasing need for protecting renewable marine resources along with their primary habitat.
Details
- Title: Subtitle
- Spatial fisheries ecology: Recent progress and future prospects
- Creators
- L Ciannelli - University of OsloP Fauchald - Norwegian Institute of Nature and Research, Division of Arctic Ecology, 9296 Tromsø, NorwayK.S Chan - University of IowaV.N Agostini - University of MiamiG.E Dingsør - University of Oslo
- Resource Type
- Journal article
- Publication Details
- Journal of marine systems, Vol.71(3), pp.223-236
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.jmarsys.2007.02.031
- ISSN
- 0924-7963
- eISSN
- 1879-1573
- Language
- English
- Date published
- 2008
- Academic Unit
- Statistics and Actuarial Science; Radiology
- Record Identifier
- 9984257739102771
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