Effects of oceanographic conditions on fishery distribution: A case study of chub mackerel (Scomber japonicus) in northeastern Taiwan.

Changes in oceanographic conditions can affect species distribution in marine habitats. Global climate change may negatively influence the oceanographic factor-species distribution relationship. Here, we assessed the influence of oceanographic conditions on chub mackerel (Scomber japonicus) distribution in northeastern Taiwan by constructing and using a habitat ensemble model incorporating chub mackerel fishery, climatic oscillation, and oceanography data.

Can the delayed effects of climatic oscillations have a greater influence on global fisheries compared to their immediate effects?

Climatic oscillations affect fish population dynamics, ecological processes, and fishing operations in maritime habitats. This study examined how climatic oscillations affect catch rates for striped, blue, and silver marlins in the Atlantic Ocean. These oscillations are regarded as the primary factor influencing the abundance and accessibility of specific resources utilized by fishers.

Recent global climate change effects: A study of Eleutheronema rhadinum in Chang-Yuen Ridge, Taiwan.

This study investigated the potential effects of climatic oscillations on CPUE of Eleutheronema rhadinum (East Asian fourfinger threadfin), a commercially valuable fish species in East Asia. Fishery data from Chang-Yuen Ridge between 2015 and 2022 was analyzed in conjunction with four climatic oscillation indices that were lagged by up to 5 years. The results revealed a fluctuating CPUE associated with the 1-year-lagged Ocean Niño Index (ONI lag 1) and 1-year-lagged Southern Oscillation Index (SOI lag 1) suggesting a potential effect between climatic oscillation indices and East Asian fourfinger threadfin CPUE.

Impact of climatic oscillations on marlin catch rates of Taiwanese long-line vessels in the Indian Ocean.

This study explored the influence of climatic oscillations on the striped, blue, and silver marlin catch rates in the Indian Ocean by using logbook data from Taiwanese large-scale fishing vessels and climate records from 1994 to 2016. Only the Madden-Julian oscillation (MJO) and the subtropical Indian Ocean dipole (SIOD) had immediate effects on the striped and silver marlin catch rates. The positive and negative phases of the IOD at the lags of 7 and 3 years corresponded to increased and decreased catch rates, respectively, for both the striped and blue marlin, contrasting to the reverse pattern for the silver marlin.

Synergistic effects of immune checkpoints and checkpoint inhibitors in inflammatory neuropathies: Implications and mechanisms.

Immune checkpoint molecules play pivotal roles in the regulation of immune homeostasis. Disruption of the immune checkpoints causes autoimmune/inflammatory as well as malignant disorders. Over the past few years, the immune checkpoint molecules with inhibitory function emerged as potential therapeutic targets in oncological conditions.

Seasonal distribution patterns of Scomberomorus commerson in the Taiwan Strait in relation to oceanographic conditions: An ensemble modeling approach.

The decline in the stock of the narrow-barred Spanish mackerel in the Taiwan Strait has sparked interest in conservation efforts. To optimize conservation and restoration efforts, it is crucial to understand their habitat preference in response to changing environments. In this study, ensemble modeling was used to investigate the seasonal distribution patterns of Spanish mackerel.

Fishery-based adaption to climate change: the case of migratory species flathead grey mullet ( L.) in Taiwan Strait, Northwestern Pacific.

The flathead gray mullet (.) is a cosmopolitan fish that lives in warm and temperate zones over 42°N-42°S. It is a key fish species for industrial fishing off coastal Taiwan.

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

The location, effort, number of captures, and time of fishing were all used in this study to assess the geographic distribution of 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.