气候变化领域集成服务门户(CCPortal): Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean

CCPortal

DOI	10.1016/j.ecolind.2023.111526
	Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean
	Han, Haibin; Jiang, Bohui; Xiang, Delong; Shi, Yongchuang; Liu, Siyuan; Shang, Chen; Zhao, Xinye; Zhang, Heng; Sun, Yuyan
发表日期	2024
ISSN	1470-160X
EISSN	1872-7034
起始页码	158
卷号	158
英文摘要	Purpleback flying squid (Sthenoteuthis oualaniensis, PFS) is one of the critical economically cephalopod species in the northwest Indian Ocean, and the accurate model and dataset selection are critical parameters for predicting and managing the PFS fishing grounds. In this study, the PFS fishery data for the years 2016-2021 was analyzed using the gravity center of fishing grounds method, generalized additive model (GAM), gradient boosted trees (GBT), 3D Convolutional Neural Network (3DCNN), and 3D Convolutional Neural Networks-Convolutional LSTM Network (3DCNN-ConvLSTM) to explore the differences in annual catches, the annual gravity center of fishing ground, model performance, and importance of environmental variables in the case of datasets A (no moonlight days) and B (no moonlight days + bright moonlight days). The results are as follows: 1) Datasets A and B exhibit similar patterns of variation, with annual catches rising and then declining and the annual gravity center of fishing ground moving northeastward overall; 2) The GAM and GBT models had better model performance on dataset B (GAM (average F1-score +/- standard deviation): 0.678658 +/- 0.014684; GBT: 0.737422 +/- 0.011748) than on dataset A (GAM: 0.676802 +/- 0.013403; GBT: 0.736547 +/- 0.013323), but almost negligible, and the standard deviation of the GAM model on dataset B becomes larger. 3DCNN and 3DCNN-ConvLSTM models perform in contrast, with significantly better F1-score and standard deviations on dataset A (3DCNN: 0.75048 +/- 0.019763; 3DCNN-ConvLSTM: 0.740041 +/- 0.023927) than on dataset B (3DCNN: 0.746378 +/- 0.020337; 3DCNN-ConvLSTM: 0.736927 +/- 0.04498); 3) The 3DCNN (optimal prediction of performance) or GBT (Optimal model stability) model is optimal for predicting the PFS fishing grounds; 4) GBT, 3DCNN, and 3DCNN-ConvLSTM model results all showed that the differences in the importance of environmental variables obtained from datasets A and B were significant; 5) Unlike the GBT model, the 3DCNN and 3DCNN-ConvLSTM models were more susceptible to dataset influences, with significant dependence on environmental variables that have large positive and negative sample differences. This study provides rich suggestions for constructing a predictive model for the PFS fishing grounds in the context of climate change. It also provides a new perspective on cleaning up biased data for light fisheries.
英文关键词	Northwest Indian Ocean; Sthenoteuthis oualaniensis; Model prediction performance; Data bias; Visualization of variables importance
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS记录号	WOS:001153551300001
来源期刊	ECOLOGICAL INDICATORS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/306155
作者单位	Ministry of Agriculture & Rural Affairs; Chinese Academy of Fishery Sciences; East China Sea Fisheries Research Institute, CAFS; Shanghai Ocean University
推荐引用方式 GB/T 7714	Han, Haibin,Jiang, Bohui,Xiang, Delong,et al. Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean[J],2024,158.
APA	Han, Haibin.,Jiang, Bohui.,Xiang, Delong.,Shi, Yongchuang.,Liu, Siyuan.,...&Sun, Yuyan.(2024).Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean.ECOLOGICAL INDICATORS,158.
MLA	Han, Haibin,et al."Comparison of model selection and data bias on the prediction performance of purpleback flying squid (Sthenoteuthis oualaniensis) fishing ground in the Northwest Indian Ocean".ECOLOGICAL INDICATORS 158(2024).