The seafloor heat flux driven by bottom water temperature variation in the Yellow and Bohai Seas

Yang, Guangyao; Xia, Changshui; Xiong, Xuejun; Chen, Zhao; Yang, Yang; Ma, De‐Jing; Ju, Xia; Zheng, Quanan; Yuan, Yue

doi:10.1016/j.ocemod.2022.102073

Cited by 2 publications

(10 citation statements)

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“…1 B). Sea cucumbers have planktonic larval stages and exhibit great dispersal potential (Yang et al 2015 ). For example, the larvae of the Northern Sea Cucumber Cucumaria frondosa were reported to be transported over long distances (ranging from 800 to 1500 km) by ocean currents (So et al 2011 ).…”

Section: Methodsmentioning

confidence: 99%

“…The Japanese sea cucumber Apostichopus japonicus (Selenka 1867) (Echinodermata: Holothuroidea) (Fig. 1 A) is widely distributed along the coastal regions of China, Japan, far eastern Russia, and Korea (Yang et al 2015 ). This benthic species is an important aquaculture species of great ecological and economic importance (Yang et al 2015 ).…”

Section: Introductionmentioning

confidence: 99%

“…1 A) is widely distributed along the coastal regions of China, Japan, far eastern Russia, and Korea (Yang et al 2015 ). This benthic species is an important aquaculture species of great ecological and economic importance (Yang et al 2015 ). In 2019, the aquaculture area of A. japonicus in China reached approximately 246,745 hectares, and production of this species was 171,700 tonnes (China Fishery Statistical Yearbook 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…In 2019, the aquaculture area of A. japonicus in China reached approximately 246,745 hectares, and production of this species was 171,700 tonnes (China Fishery Statistical Yearbook 2020 ). The production of this species was equivalent to ~ 5.68 billion US dollars at a market price of 33.06 US dollars per kilogram (Yang et al 2015 ). This species is particularly sensitive to high temperature and undergoes aestivation—a unique strategy in response to extreme conditions where species stop feeding, exhibit low activity and lose body weight (Yang et al 2015 ).…”

Section: Introductionmentioning

confidence: 99%

“…The production of this species was equivalent to ~ 5.68 billion US dollars at a market price of 33.06 US dollars per kilogram (Yang et al 2015 ). This species is particularly sensitive to high temperature and undergoes aestivation—a unique strategy in response to extreme conditions where species stop feeding, exhibit low activity and lose body weight (Yang et al 2015 ).

Fig.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

Zhang,

Zhou,

García Molinos

et al. 2024

Mar Life Sci Technol

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Correlative species distribution models (SDMs) are important tools to estimate species’ geographic distribution across space and time, but their reliability heavily relies on the availability and quality of occurrence data. Estimations can be biased when occurrences do not fully represent the environmental requirement of a species. We tested to what extent species’ physiological knowledge might influence SDM estimations. Focusing on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of East Asia, we compiled a comprehensive dataset of occurrence records. We then explored the importance of incorporating physiological knowledge into SDMs by calibrating two types of correlative SDMs: a naïve model that solely depends on environmental correlates, and a physiologically informed model that further incorporates physiological information as priors. We further tested the models’ sensitivity to calibration area choices by fitting them with different buffered areas around known presences. Compared with naïve models, the physiologically informed models successfully captured the negative influence of high temperature on A. japonicus and were less sensitive to the choice of calibration area. The naïve models resulted in more optimistic prediction of the changes of potential distributions under climate change (i.e., larger range expansion and less contraction) than the physiologically informed models. Our findings highlight benefits from incorporating physiological information into correlative SDMs, namely mitigating the uncertainties associated with the choice of calibration area. Given these promising features, we encourage future SDM studies to consider species physiological information where available.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%