4.7 Article

The environmental niche of the squid-jigging fleet in the North Pacific Ocean based on automatic identification system data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Geography, Physical

Spatial non-stationary characteristics between grass yield and its influencing factors in the Ningxia temperate grasslands based on a mixed geographically weighted regression model

Xiaolong Song et al.

Summary: Spatial models were used to analyze the factors influencing grassland yield, revealing a multiscale differential spatial response regularity. The results showed that the MGWR model had the best prediction performance.

JOURNAL OF GEOGRAPHICAL SCIENCES (2022)

Article Engineering, Marine

Relationship between the Spatial and Temporal Distribution of Squid-Jigging Vessels Operations and Marine Environment in the North Pacific Ocean

Yingjie Fei et al.

Summary: Understanding fishing activities at sea is crucial for fisheries science, public authorities, and policy-makers. This study analyzes the behavior of squid-jigging vessels and their distribution in the North Pacific Ocean, taking into account spatial-temporal factors and marine environmental factors. The results reveal seasonal variations in fishing effort and a nonlinear relationship between fishing effort and environmental factors. The study provides valuable insights into the spatial-temporal distribution characteristics of squid-jigging vessels and their relationship with the marine environment.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)

Article Marine & Freshwater Biology

Determination of Fishing Grounds Distribution of the Indian Mackerel in Malaysia's Exclusive Economic Zone Off South China Sea Using Boosted Regression Trees Model

Yeny Nadira Kamaruzzaman et al.

Summary: This study successfully predicted potential fishing grounds in Peninsular Malaysia's EEZ using the BRT model, satellite oceanographic data, and Indian mackerel fishery data. The results showed a close association between fishing grounds and SSH, SST, and chl-a, with increasing SST due to climate change impacting the spatial distribution of R. kanagurta.

THALASSAS (2021)

Article Environmental Sciences

Predicting Skipjack Tuna Fishing Grounds in the Western and Central Pacific Ocean Based on High-Spatial-Temporal-Resolution Satellite Data

Tung-Yao Hsu et al.

Summary: This study identified potential fishing grounds of skipjack tuna in the Western and Central Pacific Ocean using the habitat suitability index. The majority of global and Taiwanese data were found within suitable habitat ranges, with the model performing well in fitting daily forecast and actual fishing position data. Results from this study could contribute to habitat monitoring and sustainable fisheries management for skipjack tuna.

REMOTE SENSING (2021)

Article Environmental Sciences

Global Fisheries Responses to Culture, Policy and COVID-19 from 2017 to 2020

Bin He et al.

Summary: The study found that global fishing effort increased from 2017 to 2019 but decreased by 5.2% in 2020. Policy had a greater impact on global fishing effort than culture; During the COVID-19 lockdown, fishing activities in certain countries were significantly affected.

REMOTE SENSING (2021)

Article Geosciences, Multidisciplinary

Spatio-temporal variations in the potential habitat of a pelagic commercial squid

Wei Yu et al.

JOURNAL OF MARINE SYSTEMS (2020)

Article Multidisciplinary Sciences

Towards a Fishing Pressure Prediction System for a Western Pacific EEZ

Megan A. Cimino et al.

SCIENTIFIC REPORTS (2019)

Article Oceanography

How can Automatic Identification System (AIS) data be used for maritime spatial planning?

M. Le Tixerant et al.

OCEAN & COASTAL MANAGEMENT (2018)

Article Engineering, Industrial

Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports

Rolf J. Bye et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)

Article Multidisciplinary Sciences

Tracking the global footprint of fisheries

David A. Kroodsma et al.

SCIENCE (2018)

Article Multidisciplinary Sciences

The environmental niche of the global high seas pelagic longline fleet

Guillermo Ortuno Crespo et al.

SCIENCE ADVANCES (2018)

Article Environmental Studies

Mapping change in bottom trawling activity in the Mediterranean Sea through AIS data

Carmen Ferra et al.

MARINE POLICY (2018)

Article Environmental Studies

AIS data to inform small scale fisheries management and marine spatial planning

Mark James et al.

MARINE POLICY (2018)

Article Fisheries

Ensemble squid habitat model using three-dimensional ocean data

Irene D. Alabia et al.

ICES JOURNAL OF MARINE SCIENCE (2016)

Article Multidisciplinary Sciences

Mapping Fishing Effort through AIS Data

Fabrizio Natale et al.

PLOS ONE (2015)

Article Ecology

A working guide to boosted regression trees

J. Elith et al.

JOURNAL OF ANIMAL ECOLOGY (2008)

Article Multidisciplinary Sciences

Systematic distortions in world fisheries catch trends

R Watson et al.

NATURE (2001)