Ensemble modeling of black pomfret (Parastromateus niger) habitat in the Taiwan Strait based on oceanographic variables

Sandipan Mondal; Ming An Lee; Yu-Kai Chen; Yi-Chen Wang

doi:10.7717/peerj.14990

Ensemble modeling of black pomfret (Parastromateus niger) habitat in the Taiwan Strait based on oceanographic variables

PeerJ. 2023 Mar 9:11:e14990. doi: 10.7717/peerj.14990. eCollection 2023.

Authors

Sandipan Mondal^{1

2}, Ming An Lee^{1

2

3}, Yu-Kai Chen⁴, Yi-Chen Wang^{1

2}

Affiliations

¹ Environmental Biology & Fishery Science, National Taiwan Ocean University, Keelung, Taiwan.
² Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung, Taiwan.
³ Doctoral Degree Program in Ocean Resource and Environmental Changes, National Taiwan Ocean University, Keelung, Taiwan.
⁴ Coastal and Offshore Resource Research Center, Fisheries Research Institute, Council of Agriculture, Kaohsiung, Taiwan.

Abstract

The location, effort, number of captures, and time of fishing were all used in this study to assess the geographic distribution of Parastromateus niger in the Taiwan Strait. Other species distribution models performed worse than generalized linear models (GLMs) based on six oceanographic parameters. The sea surface temperature (SST) was between 26.5 °C and 29.5 °C, the sea surface chlorophyll (SSC) level was between 0.3-0.44 mg/m³, the sea surface salinity (SSS) was between 33.4 °C and 34.4 °C, the mixed layer depth was between 10 °C and 14 °C, the sea surface height was between 0.57 °C and 0.77 °C, and the eddy kinetic energy (EKE) was between 0.603 °C. According to the statistical findings, SST is merely a small effect compared to SSS, SSC level, and EKE in terms of impacting species distribution. By combining four effective single-algorithm models with no obvious bias, an ensemble habitat model was created. The ranges of 117°E-119°E and 22°N-24°N have the highest annual distributions of S.CPUE and nominal CPUE.

Keywords: Boosted regression tree; Classification and regression tree; Ensemble model; Generalized additive model; Generalized linear model; Pomfret; Single algorithm.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Chlorophyll*
Ecosystem*
Fishes
Niger
Taiwan

Substances

Chlorophyll

Grants and funding

This research was financed by the Council of Agriculture and the National Science and Technology Council of Taiwan. The Council of Agriculture and the National Science and Technology Council of Taiwan played a role in data collection. The funders had no role in study design, decision to publish, or the preparation of the manuscript.