Evaluating the impact of spatio-temporal scale on CPUE standardization

Siquan Tian; Chan Han; Yong Chen; Xinjun Chen

doi:10.1007/s00343-013-2285-x

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Evaluating the impact of spatio-temporal scale on CPUE standardization

Updated：2023-05-16

- Evaluating the impact of spatio-temporal scale on CPUE standardization
- Journal of Oceanology and Limnology Vol. 31, Issue 5, Pages: 935-948(2013)
- Affiliations：
  
  1. College of Marine Sciences Shanghai Ocean University
  2. International College of Marine Studies Shanghai Ocean University
  3. Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of Education
  4. School of Marine Sciences University of Maine
- Author bio：
- Funds：
- DOI：10.1007/s00343-013-2285-x
  CLC：
- Online First：07 September 2013，
  
  Published：2013
- Accepted：
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Tian, S., Han, C., Chen, Y. et al. Evaluating the impact of spatio-temporal scale on CPUE standardization., Chin. J. Ocean. Limnol. 31, 935–948 (2013). https://doi.org/10.1007/s00343-013-2285-x
DOI：

Tian, S., Han, C., Chen, Y. et al. Evaluating the impact of spatio-temporal scale on CPUE standardization., Chin. J. Ocean. Limnol. 31, 935–948 (2013). https://doi.org/10.1007/s00343-013-2285-x DOI：

摘要

Abstract

This study focused on the quantitative evaluation of the impact of the spatio-temporal scale used in data collection and grouping on the standardization of CPUE (catch per unit effort). We used the Chinese squid-jigging fishery in the northwestern Pacific Ocean as an example to evaluate 24 scenarios at different spatio-temporal scales

with a combination of four levels of temporal scale (weekly

biweekly

monthly

and bimonthly) and six levels of spatial scale (longitude×latitude: 0.5°×0.5°

0.5°×1°

0.5°×2°

1°×0.5°

1°×1°

and 1°×2°). We applied generalized additive models and generalized linear models to analyze the 24 scenarios for CPUE standardization

and then the differences in the standardized CPUE among these scenarios were quantified. This study shows that combinations of different spatial and temporal scales could have different impacts on the standardization of CPUE. However

at a fine temporal scale (weekly) different spatial scales yielded similar results for standardized CPUE. The choice of spatio-temporal scale used in data collection and analysis may create added uncertainty in fisheries stock assessment and management. To identify a cost-effective spatio-temporal scale for data collection

we recommend a similar study be undertaken to facilitate the design of effective monitoring programs.

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references

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