Critical regions: A GIS-based model of marine productivity hotspots

Valavanis, Vasilis D.; Kapantagakis, Argyris; Katara, Isidora; Palialexis, Andreas

doi:10.1007/s00027-003-0669-2

Cited by 43 publications

(36 citation statements)

References 34 publications

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“…A considerable body of literature has documented that marine resources are related to productivity hotspots (e.g. Olivar 1990, Solanki et al 2001, Valavanis et al 2004). Our study demonstrated that utilized habitats for Chinook and coho salmon were generally within or in the vicinity of high chlorophyll a concentration areas.…”

Section: Choice Of Habitatmentioning

confidence: 99%

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Bi¹,

Ruppel²,

Peterson³

2007

Mar. Ecol. Prog. Ser.

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Defining marine habitat use for Pacific salmon Oncorhynchus spp. is important for effective resource management because salmon production has been linked to ocean conditions in the Northeast Pacific. Towards that goal, Chinook O. tshawytscha and coho salmon O. kisutch populations were sampled off Washington and Oregon, USA, in June 1998 to 2005 along with habitat variables including temperature, salinity, water depth, and chlorophyll a concentration. Correlation analysis and stepwise logistic regressions were run to identify the physical and biological factors that predict the presence of Chinook and coho salmon. Low zero-catch probability was used to indicate used habitat. For all life history stages, zero-catch probability decreased with increased chlorophyll concentration and decreased depth. Temperature was a significant predictor variable for subyearling Chinook and yearling coho presence based on stepwise logistic regression. The size of used habitat showed large spatial and temporal variations, where more used habitat occurred off Washington and the Columbia River mouth than off Oregon. This pattern may relate to a wider shelf and greater primary production to the north. The largest amount of used habitat occurred in 2000 and 2003 for all 5 life history stages examined. Sea-viewing Wide Field-of-Sensor (SeaWiFS) satellite images indicated high chlorophyll concentration in that period.

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Section: Choice Of Habitatmentioning

confidence: 99%

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Bi¹,

Ruppel²,

Peterson³

2007

Mar. Ecol. Prog. Ser.

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show abstract

“…coral reefs), but in the highly productive marine areas that may extend from the shelf and further offshore. For example, productive areas such as upwelling regions account for only 0.1% of the ocean surface (Ryther 1969), yet they support up to 50%of the world's fisheries production (Valavanis et al 2004). Exploitation of these highly productive marine regions has resulted in significant declines in populations of target species (e.g.…”

Section: Highly Productive and Highly Exploitedmentioning

confidence: 99%

Are we missing important areas in pelagic marine conservation? Redefining conservation hotspots in the ocean

Briscoe¹,

Maxwell²,

Kudela³

et al. 2016

Endang. Species. Res.

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substantial decline in both the diversity and abundance of species worldwide, owing to increasing human pressures (Jackson et al. 2001, Myers & Worm 2003, Sala & Knowlton 2006, Halpern et al. 2008, Baum & Worm 2009, Cardinale et al. 2012 ABSTRACT: The protection of biodiversity is one of the most important goals in terrestrial and marine conservation. Marine conservation approaches have traditionally followed the example of terrestrial initiatives. However, patterns, processes, habitats, and threats differ greatly between the 2 systems -and even within the marine environment. As a result, there is still a lack of congruence as to how to best identify and prioritize conservation approaches moving from the static terrestrial and nearshore realm into a more fluid, 3-dimensional pelagic realm. To address this problem, we investigate how the conservation science literature has been used to inform and guide management strategies in the marine system from coastal to pelagic environments. As cumulative impacts on the health of the oceans continue to increase, conservation priorities have shifted to include highly dynamic areas of the pelagic marine system. By evaluating whether priorities match science with current place-based management approaches (i.e. marine protected areas, MPAs), we identify important gaps that must be considered in current conservation schemes. Effective pelagic MPA design requires monitoring and evaluation across multiple physical, biological, and human dimensions. Because many threatened and exploited marine species move through an ephemeral and ever-changing environment, our results highlight the need to move beyond traditional, 2-dimensional approaches to marine conservation, and into dynamic management approaches that incorporate metrics of biodiversity as well as oceanographic features known to promote multilevel, trophic productivity.

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“…Biological hotspots are ecologically important areas characterized by high biodiversity (species richness, abundance, and biomass) and high chlorophyll concentration (Hughes et al 2002, Valavanis et al 2004, Reese & Brodeur 2006. Georges Bank exhibits both characteristics, with an nual primary productivity in the tidally mixed shoals approaching 3 times the global mean value for continental shelves (O'Reilly et al 1987).…”

Section: Introductionmentioning

confidence: 99%

Effects of interannual environmental variability on the transport-retention dynamics in haddock, Melanogrammus aeglefinus larvae on Georges Bank

Boucher¹,

Chen²,

Sun³

et al. 2013

Mar. Ecol. Prog. Ser.

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Georges Bank is a region of high biological productivity characterized by a welldefined clockwise tidal rectified circulation gyre. Fluctuations in the year-class strength of haddock Melanogrammus aeglefinus on Georges Bank have been attributed to mortality during the highly vulnerable larval stages. While predation and starvation greatly impact on survival, advection to unfavorable regions may result in greatly reduced numbers of individuals. For successful selfrecruitment to occur, individuals must remain within the shoal region of Georges Bank until settlement. An individual-based model (IBM) was utilized to estimate the retention of haddock eggs and larvae on Georges Bank annually for 1995 through 2009. The IBM was driven by the Finite-Volume Community Ocean Model (FVCOM) for the Gulf of Maine domain. Biological components of haddock larvae were omitted to restrict analyses to the impact of circulation on passive transport. Inflow over the Scotian Shelf and tidal interaction patterns were identified as the major drivers of variability in interannual transport-retention dynamics. The simulations indicated that retention rates were highest in

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Critical regions: A GIS-based model of marine productivity hotspots

Cited by 43 publications

References 34 publications

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Modeling the pelagic habitat of salmon off the Pacific Northwest (USA) coast using logistic regression

Are we missing important areas in pelagic marine conservation? Redefining conservation hotspots in the ocean

Effects of interannual environmental variability on the transport-retention dynamics in haddock, Melanogrammus aeglefinus larvae on Georges Bank

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