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spatial modeling of fish distributions

Authors: Chirehwa, Maxwell Tawanda;

spatial modeling of fish distributions

Abstract

Fish abundance is thought to be related to environmental factors and interactions between species. Catches at locations close to each other may also be similar resulting in spatial autocorrelation. The aim of this report is to assess the relationship between fish abundance and environmental correlates, the relationship between distributions of different fish species and temporal trends in fish abundance. Data for whiting, haddock and cod fish species were collected under the North Sea-International Bottom Trawl Survey (NS-IBTS) from 1994 to 2005. Approximate full Bayesian inference was performed based on the Integrated Nested Laplace Approximation (INLA) approach. Predictions of fish catches per quarter and age class for 1994 and 2005 were done for each of the three species. Results show that there is a relationship between fish abundance and depth of the sea. Different species are more abundant at locations of different depth which varied with quarter and age class. Further to this, t

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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