Spatio-Temporal Variations in the Potential Habitat Distribution of Pacific Sardine (Sardinops sagax) in the Northwest Pacific Ocean
文献类型： 外文期刊
作者： Shi, Yongchuang 1 ; Kang, Bo 3 ; Fan, Wei 1 ; Xu, Lingling 4 ; Zhang, Shengmao 1 ; Cui, Xuesen 1 ; Dai, Yang 1 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Shanghai 200090, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Fisheries Remote Sensing, Shanghai 200090, Peoples R China
3.Marine Acad Zhejiang Prov, Hangzhou 310012, Peoples R China
4.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China
关键词： Sardinops sagax; habitat distribution; species distribution model; environmental variation; Northwest Pacific Ocean
期刊名称：FISHES （ 影响因子：2.3； 五年影响因子：2.4 ）
ISSN：
年卷期： 2023 年 8 卷 2 期
页码：
收录情况： SCI
摘要： Pacific sardine (Sardinops sagax) is a commercially important species and supports important fisheries in the Northwest Pacific Ocean (NPO). Understanding the habitat distribution patterns of Pacific sardine is of great significance for fishing ground prediction and stock management. In this study, both single-algorithm and ensemble distribution models were established through the Biomod2 package for Pacific sardine by combining the species occurrence data, sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS) and chlorophyll-a concentration (Chla) in the NPO during the main fishing season (June-November) from 2015 to 2020. The results indicated that the key environmental variables affecting the habitat distribution of Pacific sardine were the SSH and SST. The suitable habitat area for Pacific sardine showed significant monthly changes: the suitable habitat range in June was larger than that in July and August, while the suitable habitat range gradually increased from September to November. Furthermore, the monthly geometric centers of habitat suitability index (HSI) for Pacific sardine presented a counterclockwise pattern, gradually moving to the northeast from June, and then turning back to the southwest from August. Compared with single-algorithm models, the ensemble model had higher evaluation metric values and better spatial correspondence between habitat prediction and occurrence records data, which indicated that the ensemble model can provide more accurate prediction and is a promising tool for potential habitat forecasting and resource management.
- 相关文献
作者其他论文 更多>>
-
Screening and Analysis of Potential Aquaculture Spaces for Larimichthys crocea in China's Surrounding Waters Based on Environmental Temperature Suitability
作者：Yang, Ling;Zhou, Weifeng;Cui, Xuesen;Lu, Yanan;Liu, Qin;Yang, Ling
关键词：
Larimichthys crocea ; deep-sea aquaculture; potential spaces; spatial analysis; China -
Effects of western boundary currents and sea surface temperature anomalies on interannual variability of chub mackerel abundance in the Northwest Pacific
作者：Li, Jiasheng;Zhou, Weifeng;Dai, Yang;Tang, Fenghua;Wu, Yumei;Zhang, Heng;Fan, Xiumei;Cui, Xuesen;Li, Jiasheng
关键词：Chub mackerel; Abundance; Kuroshio; Oyashio; Sea surface temperature anomaly; Northwest Pacific
-
Comparative Analysis of Prediction Models for Trawling Grounds of the Argentine Shortfin Squid Illex argentinus in the Southwest Atlantic High Seas Based on Vessel Position and Fishing Log Data
作者：Xiang, Delong;Sun, Yuyan;Zhu, Hanji;Wang, Jianhua;Huang, Sisi;Zhang, Shengmao;Zhang, Famou;Zhang, Heng;Xiang, Delong;Sun, Yuyan;Huang, Sisi;Zhang, Shengmao;Zhang, Famou;Zhang, Heng;Xiang, Delong;Sun, Yuyan;Huang, Sisi;Zhang, Shengmao;Zhang, Famou;Zhang, Heng;Zhu, Hanji;Wang, Jianhua
关键词：Southwest Atlantic;
Illex argentinus ; AIS; deep learning; fishing ground prediction -
Computation and analysis of phenotypic parameters of Scylla paramamosain based on YOLOv11-DYPF keypoint detection
作者：Wu, Chong;Zhang, Shengmao;Wang, Wei;Wu, Zuli;Yang, Shenglong;Chen, Wei;Wu, Chong;Zhang, Shengmao;Zhang, Shengmao
关键词：Scylla paramamosain; Mud crab; Keypoint detection; YOLOv11; Multi-scale fusion; Dynamic upsampling; Support vector regression (SVR)
-
Evaluation Method for Artificial Reefs Based on Multi-Object Tracking
作者：Wu, Zuli;Song, Yifan;Cui, Xuesen;Zhang, Shengmao;Quan, Weimin;Shi, Yongchuang;Xiong, Xinquan;Li, Penglong;Wu, Zuli;Cui, Xuesen;Zhang, Shengmao;Quan, Weimin;Shi, Yongchuang;Song, Yifan;Xiong, Xinquan;Li, Penglong
关键词：artificial reef; sonar images; multi-object tracking (MOT) algorithm; three-dimensional position evaluation
-
Enhancing Landmark Point Detection in Eriocheir Sinensis Carapace with Differentiable End-to-End Networks
作者：Wu, Chong;Wang, Shuxian;Zhang, Shengmao;Zheng, Hanfeng;Wang, Wei;Yang, Shenglong;Wu, Chong;Zhang, Shengmao;Zheng, Hanfeng
关键词：Eriocheir sinensis; Chinese mitten crab; landmark detection; Gaussian heatmaps; deep convolutional neural network; DSNT module; generalization ability; power consumption
-
Assessment of Fish Biomass and Distribution in a Nuclear Power Plant's Water Intake Zone Using Acoustic and Trawl Methods
作者：Wu, Zuli;Song, Yunpeng;Zhao, Guoqing;Shi, Yongchuang;Wu, Yumei;Zhang, Shengmao;Wu, Zuli;Zhao, Guoqing;Shi, Yongchuang;Wu, Yumei;Zhang, Shengmao;Song, Yunpeng
关键词：resource density; acoustic assessment; dominant species; spatiotemporal distribution
