2022
DOI: 10.1111/ele.14066
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Disturbance and nutrients synchronise kelp forests across scales through interacting Moran effects

Abstract: Spatial synchrony is a ubiquitous and important feature of population dynamics, but many aspects of this phenomenon are not well understood. In particular, it is largely unknown how multiple environmental drivers interact to determine synchrony via Moran effects, and how these impacts vary across spatial and temporal scales. Using new wavelet statistical techniques, we characterised synchrony in populations of giant kelp Macrocystis pyrifera, a widely distributed marine foundation species, and related synchron… Show more

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Cited by 19 publications
(40 citation statements)
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“…This interannual oscillatory nature of regional kelp canopy dynamics is apparent in the regional time series and may have resulted in greater then 80% of 10 x 10 km cells showing no significant long term trend ( Fig 2 ). A recent analysis has shown that the synchrony of giant kelp canopy is highly coherent with the North Pacific Gyre Oscillation on long time scales (4 to 10 years; [ 55 ]), meaning that sites within regions tend to increase and decrease similarly according to the fluctuations of the large-scale ocean climate. Since regular oscillatory patterns make the detection of long-term trends difficult [ 18 , 56 ], perhaps the most beneficial use for these data is to investigate the spatial heterogeneity of the response in kelp canopy to major climate events, such as the 2014 to 2016 marine heatwaves.…”
Section: Discussionmentioning
confidence: 99%
“…This interannual oscillatory nature of regional kelp canopy dynamics is apparent in the regional time series and may have resulted in greater then 80% of 10 x 10 km cells showing no significant long term trend ( Fig 2 ). A recent analysis has shown that the synchrony of giant kelp canopy is highly coherent with the North Pacific Gyre Oscillation on long time scales (4 to 10 years; [ 55 ]), meaning that sites within regions tend to increase and decrease similarly according to the fluctuations of the large-scale ocean climate. Since regular oscillatory patterns make the detection of long-term trends difficult [ 18 , 56 ], perhaps the most beneficial use for these data is to investigate the spatial heterogeneity of the response in kelp canopy to major climate events, such as the 2014 to 2016 marine heatwaves.…”
Section: Discussionmentioning
confidence: 99%
“…The relationship between regional kelp dynamics and decadal marine climate oscillations [6,55,56] produce multiyear periods of high (or low) kelp canopy that make the identification of long-term trends difficult [18]. Additionally, a recent analysis has shown that the synchrony of giant kelp canopy is highly coherent with the North Pacific Gyre Oscillation on long time scales (4 to 10 years; [57]), meaning that sites within regions tend to increase and decrease similarly according to the fluctuations of the large-scale ocean climate. Since regular oscillatory patterns make the detection of long-term trends difficult [18,58], perhaps the most beneficial use for these data is to investigate the spatial heterogeneity of the response in kelp canopy to major climate events, such as the 2014 to 2016 marine heatwaves.…”
Section: Long-term Trends In Kelp Canopy Across Regionsmentioning
confidence: 99%
“…This interannual oscillatory nature of regional kelp canopy dynamics is apparent in the regional time series and may have resulted in greater then 80% of 10 x 10 km cells showing no significant long term trend (Fig 2 ). A recent analysis has shown that the synchrony of giant kelp canopy is highly coherent with the North Pacific Gyre Oscillation on long time scales (4 to 10 years; [55]), meaning that sites within regions tend to increase and decrease similarly according to the fluctuations of the large-scale ocean climate.…”
Section: Long-term Trends In Kelp Canopy Across Regionsmentioning
confidence: 99%
“…4). Note that we observed net negative interaction effects between driver variables; in other words, observed DOC synchrony was less than expected if all driver variables acted independently (Sheppard et al 2019;Castorani et al 2022). Results differed modestly when PAR replaced UV radiation in the model (Supporting Information Fig.…”
Section: Resultsmentioning
confidence: 71%