2019
DOI: 10.1016/j.ecolind.2018.03.040
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Effects of temperature and red tides on sea urchin abundance and species richness over 45 years in southern Japan

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Cited by 18 publications
(21 citation statements)
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“…We suspected that SST would explain much of the predictable variation in macroalgal density and purple urchin density across the NCI (Ohgaki et al ), so we did not include a random effect of island, as there is a strong east–west temperature gradient across the islands. SST can also vary interannually due to the El Niño–Southern Oscillation (ENSO).…”
Section: Methodsmentioning
confidence: 99%
“…We suspected that SST would explain much of the predictable variation in macroalgal density and purple urchin density across the NCI (Ohgaki et al ), so we did not include a random effect of island, as there is a strong east–west temperature gradient across the islands. SST can also vary interannually due to the El Niño–Southern Oscillation (ENSO).…”
Section: Methodsmentioning
confidence: 99%
“…B was extirpated from the pools, leading to significant changes in the structure of the sea urchin community. Mass mortality events due to unusually low winter temperatures have occurred in the past at Shirahama, with documented events in 1963 and 1984 (Tokioka, 1963;Ohgaki et al, 2019) (as reference data, Figure S2 shows the water temperature data off Wakayama since 1982). In those cases, the intertidal zone was more affected than the subtidal zone, and urchin populations eventually recovered (Tokioka, 1966;Ohgaki et al, 2019).…”
Section: Drastic Decrease Of Sea Urchin Population and Behavioural Change After The Cold Eventmentioning
confidence: 99%
“…Both the Kuroshio and Oyashio Currents show spatial and temporal fluctuations 27 – 33 . Previous studies have suggested that spatiotemporal variability of these ocean current systems has likely caused changes in dominant species 34 , 35 , recruitment strength 34 , 36 , 37 , mortality 35 , 38 , 39 , and abundance of coastal organisms 34 – 38 . Therefore, we speculate that increasing spatiotemporal variability of ocean current systems increases the relative frequencies of the linear, reversible, and abrupt trajectories and some model coefficients of each trajectory (α of the linear, δ o and δ r of the reversible, ϕ 1 of the stable, and δ of the abrupt trajectory) and decreases the relative frequency of the stable trajectory and three measures of community temporal invariability: species richness, species composition, and community abundance.…”
Section: Introductionmentioning
confidence: 99%