Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models

Jose M Bellido-Millan, Graham John Pierce, Jianjun Wang

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

This paper reports a preliminary application of generalised additive models (GAMs) to describing intra-annual variation in squid abundance in Scottish waters. Models were constructed using data for the years 1983, 1988, 1989 and 1991. Cubic spline smoothers and Gaussian distributions were used to build up the models. Since reliability of local fishery abundance estimates is arguably proportional to fishing (sampling) effort, in addition to standard (unweighted) models, further models incorporating weighting by fishing effort were also fitted. The variables finally included in the GAMs were sea surface temperature (SST) and month. In the weighted models there is no temperature effect on abundance below 13 degreesC whereas the unweighted models show peaks of abundance in the temperature range 8-13 degreesC. Possible reasons for this discrepancy, and advantages and disadvantages of applying GAMs to data from this fishery are described. Further models are suggested including a two-stage procedure to deal the large number of zero observations in the abundance data. (C) 2001 Elsevier Science B.V. All rights reserved.

Original languageEnglish
Pages (from-to)23-29
Number of pages6
JournalFisheries Research
Volume52
DOIs
Publication statusPublished - 2001

Keywords

  • squid
  • Loligo forbesi
  • environment
  • generalised additive models
  • STOCK ASSESSMENT
  • NEW-ZEALAND
  • ENVIRONMENTAL-FACTORS
  • SPATIAL-DISTRIBUTION
  • BERING SEA
  • NORTH-SEA
  • VULGARIS-REYNAUDII
  • TUSSOCK GRASSLANDS
  • FISHED POPULATION
  • FALKLAND ISLANDS

Cite this

Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models. / Bellido-Millan, Jose M; Pierce, Graham John; Wang, Jianjun.

In: Fisheries Research, Vol. 52, 2001, p. 23-29.

Research output: Contribution to journalArticle

Bellido-Millan, Jose M ; Pierce, Graham John ; Wang, Jianjun. / Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models. In: Fisheries Research. 2001 ; Vol. 52. pp. 23-29.
@article{798e21c179464ed49d8760f3dad4d2a1,
title = "Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models",
abstract = "This paper reports a preliminary application of generalised additive models (GAMs) to describing intra-annual variation in squid abundance in Scottish waters. Models were constructed using data for the years 1983, 1988, 1989 and 1991. Cubic spline smoothers and Gaussian distributions were used to build up the models. Since reliability of local fishery abundance estimates is arguably proportional to fishing (sampling) effort, in addition to standard (unweighted) models, further models incorporating weighting by fishing effort were also fitted. The variables finally included in the GAMs were sea surface temperature (SST) and month. In the weighted models there is no temperature effect on abundance below 13 degreesC whereas the unweighted models show peaks of abundance in the temperature range 8-13 degreesC. Possible reasons for this discrepancy, and advantages and disadvantages of applying GAMs to data from this fishery are described. Further models are suggested including a two-stage procedure to deal the large number of zero observations in the abundance data. (C) 2001 Elsevier Science B.V. All rights reserved.",
keywords = "squid, Loligo forbesi, environment, generalised additive models, STOCK ASSESSMENT, NEW-ZEALAND, ENVIRONMENTAL-FACTORS, SPATIAL-DISTRIBUTION, BERING SEA, NORTH-SEA, VULGARIS-REYNAUDII, TUSSOCK GRASSLANDS, FISHED POPULATION, FALKLAND ISLANDS",
author = "Bellido-Millan, {Jose M} and Pierce, {Graham John} and Jianjun Wang",
year = "2001",
doi = "10.1016/S0165-7836(01)00228-4",
language = "English",
volume = "52",
pages = "23--29",
journal = "Fisheries Research",
issn = "0165-7836",
publisher = "Elsevier Science B. V.",

}

TY - JOUR

T1 - Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models

AU - Bellido-Millan, Jose M

AU - Pierce, Graham John

AU - Wang, Jianjun

PY - 2001

Y1 - 2001

N2 - This paper reports a preliminary application of generalised additive models (GAMs) to describing intra-annual variation in squid abundance in Scottish waters. Models were constructed using data for the years 1983, 1988, 1989 and 1991. Cubic spline smoothers and Gaussian distributions were used to build up the models. Since reliability of local fishery abundance estimates is arguably proportional to fishing (sampling) effort, in addition to standard (unweighted) models, further models incorporating weighting by fishing effort were also fitted. The variables finally included in the GAMs were sea surface temperature (SST) and month. In the weighted models there is no temperature effect on abundance below 13 degreesC whereas the unweighted models show peaks of abundance in the temperature range 8-13 degreesC. Possible reasons for this discrepancy, and advantages and disadvantages of applying GAMs to data from this fishery are described. Further models are suggested including a two-stage procedure to deal the large number of zero observations in the abundance data. (C) 2001 Elsevier Science B.V. All rights reserved.

AB - This paper reports a preliminary application of generalised additive models (GAMs) to describing intra-annual variation in squid abundance in Scottish waters. Models were constructed using data for the years 1983, 1988, 1989 and 1991. Cubic spline smoothers and Gaussian distributions were used to build up the models. Since reliability of local fishery abundance estimates is arguably proportional to fishing (sampling) effort, in addition to standard (unweighted) models, further models incorporating weighting by fishing effort were also fitted. The variables finally included in the GAMs were sea surface temperature (SST) and month. In the weighted models there is no temperature effect on abundance below 13 degreesC whereas the unweighted models show peaks of abundance in the temperature range 8-13 degreesC. Possible reasons for this discrepancy, and advantages and disadvantages of applying GAMs to data from this fishery are described. Further models are suggested including a two-stage procedure to deal the large number of zero observations in the abundance data. (C) 2001 Elsevier Science B.V. All rights reserved.

KW - squid

KW - Loligo forbesi

KW - environment

KW - generalised additive models

KW - STOCK ASSESSMENT

KW - NEW-ZEALAND

KW - ENVIRONMENTAL-FACTORS

KW - SPATIAL-DISTRIBUTION

KW - BERING SEA

KW - NORTH-SEA

KW - VULGARIS-REYNAUDII

KW - TUSSOCK GRASSLANDS

KW - FISHED POPULATION

KW - FALKLAND ISLANDS

U2 - 10.1016/S0165-7836(01)00228-4

DO - 10.1016/S0165-7836(01)00228-4

M3 - Article

VL - 52

SP - 23

EP - 29

JO - Fisheries Research

JF - Fisheries Research

SN - 0165-7836

ER -