Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean

Xinjun Chen; Siquan Tian; Bilin Liu; Yong Chen

doi:10.1007/s00343-011-0058-y

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Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean

Updated：2023-05-16

- Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean
- Journal of Oceanology and Limnology Vol. 29, Issue 3, Pages: 493-504(2011)
- Affiliations：
  
  1. College of Marine Sciences Shanghai Ocean University
  2. The Key laboratory of Shanghai Education Commission for Oceanic Fisheries Resources Exploitation
  3. The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources (Shanghai Ocean University) Ministry of Education
  4. School of Marine Sciences University of Maine
- Author bio：
- Funds：
- DOI：10.1007/s00343-011-0058-y
  CLC：
- Online First：15 May 2011，
  
  Published：2011
- Accepted：
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Chen, X., Tian, S., Liu, B. et al. Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean., Chin. J. Ocean. Limnol. 29, 493–504 (2011). https://doi.org/10.1007/s00343-011-0058-y
DOI：

Chen, X., Tian, S., Liu, B. et al. Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean., Chin. J. Ocean. Limnol. 29, 493–504 (2011). https://doi.org/10.1007/s00343-011-0058-y DOI：

摘要

Abstract

The eastern fall cohort of the neon flying squid

Ommastrephes bartramii

has been commercially exploited by the Chinese squid jigging fleet in the central North Pacific Ocean since the late 1990s. To understand and identify their optimal habitat

we have developed a habitat suitability index (HSI) model using two potential important environmental variables — sea surface temperature (SST) and sea surface height anomaly (SSHA) — and fishery data from the main fishing ground (165°–180°E) during June and July of 1999–2003. A geometric mean model (GMM)

minimum model (MM) and arithmetic weighted model (AWM) with different weights were compared and the best HSI model was selected using Akaike’s information criterion (AIC). The performance of the developed HSI model was evaluated using fishery data for 2004. This study suggests that the highest catch per unit effort (CPUE) and fishing effort are closely related to SST and SSHA. The best SST- and SSHA-based suitability index (SI) regression models were SISST-based = 0.7SIeffort-SST + 0.3 SICPUE-SST

and SISSHA-based = 0.5SIeffort-SSHA + 0.5SICPUE-SSHA

respectively

showing that fishing effort is more important than CPUE in the estimation of SI. The best HSI model was the AWM

defined as HSI=0.3SISST-based+ 0.7SISSHA-based

indicating that SSHA is more important than SST in estimating the HSI of squid. In 2004

monthly HSI values greater than 0.6 coincided with the distribution of productive fishing ground and high CPUE in June and July

suggesting that the models perform well. The proposed model provides an important tool in our efforts to develop forecasting capacity of squid spatial dynamics.

关键词

Keywords

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