2020
DOI: 10.1111/ecog.05204
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Essential krill species habitat resolved by seasonal upwelling and ocean circulation models within the large marine ecosystem of the California Current System

Abstract: Due to their global distribution, high biomass and energy content, euphausiids (krill) are important prey for many mid and upper trophic level marine organisms. Understanding drivers of krill habitat is essential for forecasting range shifts, and to better understand the response of krill predators to climate change. We hypothesized that the distribution and abundance of krill species derived from ecosystem surveys in spring/summer relates to geomorphic features, coastal upwelling during the preceding winter, … Show more

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Cited by 40 publications
(65 citation statements)
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“…Overall, the locations of seabird and mammal biodiversity hotspots (six primary regions) identify important colonies and breeding centers as well as known regional and mesoscale variability of ocean conditions within the CCE (Figure 6b). These hotspots are similar to observed and modeled krill hotspots (Santora et al, 2011;Messié and Chavez, 2017;Cimino et al, 2020;Fiechter et al, 2020), and they overlap with large submarine canyon systems, especially those canyons that intersect the continental shelf and terminate close to the coastline (Figures 6 and 7; Santora et al, 2018).…”
Section: From the Topsupporting
confidence: 77%
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“…Overall, the locations of seabird and mammal biodiversity hotspots (six primary regions) identify important colonies and breeding centers as well as known regional and mesoscale variability of ocean conditions within the CCE (Figure 6b). These hotspots are similar to observed and modeled krill hotspots (Santora et al, 2011;Messié and Chavez, 2017;Cimino et al, 2020;Fiechter et al, 2020), and they overlap with large submarine canyon systems, especially those canyons that intersect the continental shelf and terminate close to the coastline (Figures 6 and 7; Santora et al, 2018).…”
Section: From the Topsupporting
confidence: 77%
“…The diverse spatiotemporal observation record is a resource for parameterizing and evaluating models that simulate krill population dynamics and distribution (Figure 7). For example, observed krill spatiotemporal dynamics have been used to evaluate the performance of mechanistic coupled ocean-ecosystem models (Santora et al, 2013;Fiechter et al, 2020), Lagrangian individualbased models (particle-tracking models that incorporate diel vertical migration behavior to simulate krill swarms; Dorman et al, 2015;Santora et al, 2017c), and Lagrangian growth and advection models (Messié and Chavez, 2017); they have also been employed to train krill species distribution models (SDMs) built on hydrographic model output and satellite metrics (Cimino et al, 2020). All krill ecosystem models capture the seasonal cycle and resolve the location of observed krill hotspots and their dissociation from strong upwelling centers, as well as previously observed temporal variability.…”
mentioning
confidence: 99%
“…In agreement with studies further south in the CCE, our models indicate that euphausiid hotspots were orientated alongshore in areas associated with the shelf break and specific depth contours [14][15][16]. This study adds to the large body of literature that suggests that a combination of depth, and the edges that occur along topographic features such as the continental slope and seafloor valleys and canyons, are unequivocally important to the development of areas of higher euphausiid biomass [15,25,[67][68][69].…”
Section: The Spatiotemporal Distribution Intensity and Persistence Of Hotspotssupporting
confidence: 87%
“…We found similarities between the overall distribution of adults, and hotspots of both species were highest over the continental slope, particularly off the west coast of Haida Gwaii. Larger differences may have been observed between the distribution of these two species in waters deeper than 1000m [14], however, unfortunately sampling points in deeper waters were too sparse to be included in our models.…”
Section: The Spatiotemporal Distribution Intensity and Persistence Of Hotspotsmentioning
confidence: 99%
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