Modelling community structure and species co-occurrence using fishery observer data

Pulver, Jeffrey Robert; Liu, Hui; Scott-Denton, Elizabeth

doi:10.1093/icesjms/fsw033

i

Modelling community structure and species co-occurrence using fishery observer data

Public Domain

2016
By Pulver, Jeffrey Robert ; Liu, Hui ; Scott-Denton, Elizabeth

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Journal Title:

ICES Journal of Marine Science
Personal Author:

Pulver, Jeffrey Robert ; Liu, Hui ; Scott-Denton, Elizabeth
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; SEFSC (Southeast Fisheries Science Center)
Description:

In this study, we modelled fishery observer data to compare methods of identifying community structure using cluster analyses to determine stratifications and probabilistic models for examining species co-occurrence in the Gulf of Mexico deepwater reef fish fishery. Comparing cluster analysis methods, the correlation measure of dissimilarity in combination with average agglomerative linkage was the most efficient method for determining species relationships using simulated random species as a comparison tool. Cluster analysis revealed distinct species stratifications and in combination with multiscale bootstrapping generated probabilities indicating the strength of stratifications in the fishery. A more parsimonious approach with probabilistic models was also developed to quantify pairwise species co-occurrence as random, positive, or negative based on the observed vs. expected fishing sets with co-occurrence. For the most common species captured, the probabilistic models predicted positive or negative co-occurrence between 84.2% of the pairwise combinations examined. These methods provide fishery managers tools for determining multispecies quota allocations and offer insights into other bycatch species of interest.
Keywords:

Aquatic Science Ecology Ecology, Evolution, Behavior And Systematics Oceanography Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics
Source:

ICES Journal of Marine Science, 73(7), 1750-1763
DOI:

https://doi.org/10.1093/icesjms/fsw033
ISSN:

1095-9289 ; 1054-3139
Format:

PDF
Publisher:

Oxford University Press (OUP)
Document Type:

Journal Article
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha256:fcef200f1c9425f1d652cd9d450f1ef27b968ff58666a62e3c9b4871b6968fc1
Download URL:

https://repository.library.noaa.gov/view/noaa/51787/noaa_51787_DS1.pdf
File Type:

[PDF - 1.21 MB ]

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