Connectivity in the northern Gulf of California from particle tracking in a three-dimensional numerical model

Marinone, S.G.; Ulloa, Marco J.; Parés‐Sierra, Alejandro; Lavín, Miguel F.; Cudney-Bueno, Richard

doi:10.1016/j.jmarsys.2007.06.005

Cited by 51 publications

(30 citation statements)

References 25 publications

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“…We examine the implications of a change in mean dispersal distance resulting from climate change for spatial prioritization of conservation actions in the Gulf of California (GoC). We focus on the GoC because (1) data on larval spawning locations are available (Soria et al 2010), (2) a circulation model is available (Marinone et al 2008), and (3) a spatial prioritization effort has been conducted to identify conservation sites (Ulloa et al 2006), but this effort did not account for connectivity or climate change. Here we explore whether our framework suggests that future adaptation of the prioritization scheme might be necessary.…”

Section: Boxmentioning

confidence: 99%

“…Planktonic larvae of S. calcifer drift with ocean currents for several weeks following spawning and fertilization (Soria et al 2010). Using our understanding of the potential magnitude and spatial variability in changes in connectivity and abundance resulting from potential changes in pH-value and temperature, we map potential changes in functional connectivity that could result from local climate change using a published circulation model (Marinone et al 2008). We do not consider changes in structural connectivity because we have no reason to forecast change to habitat for rock scallop.…”

Section: Boxmentioning

confidence: 99%

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Climate change impacts on connectivity in the ocean: Implications for conservation

et al. 2014

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Abstract. Effective spatial management in the ocean requires a network of conservation areas that are connected by larval and adult dispersal. We propose a conceptual framework for including the likely impacts of a changing climate on marine connectivity, and synthesize information on the relationships between changing ocean temperature and acidification, connectivity and conservation tools. Our framework relies on concepts of functional connectivity, which depends on an organism's biological and behavioral responses to the physical environment, and structural connectivity, which describes changes in the physical and spatial structure of the environment that affect connectivity and movement. Our review confirms that ocean climate change likely reduces potential dispersal distance and therefore functional connectivity. Structural connectivity in the ocean will inevitably change with the spatial arrangement of biogenic habitats resulting from disturbance as well as enhanced growth and mortality due to climate change. Climate change will also likely reduce the spatial scale of connectivity, suggesting that we will need more closely spaced protected areas.

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Section: Boxmentioning

confidence: 99%

Section: Boxmentioning

confidence: 99%

Climate change impacts on connectivity in the ocean: Implications for conservation

et al. 2014

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“…We chose to use 400 particles since previous runs of the model with larger numbers (up to 4000) of particles did not improve relative percentages of particles reaching sink destinations at any given time. From the output of the model, we calculated particles' trajectories following the advection/ diffusion scheme described in Marinone et al (2008). We conducted simulations for the 4 combinations of 2 release dates (spring tide, 15 July 2007, or neap tide, 22 July 2007) and 2 larval behaviors (active or passive motility of the particles).…”

Section: Cbom Development and Data Analysismentioning

confidence: 99%

Linking bio-oceanography and population genetics to assess larval connectivity

Soria¹,

Munguía‐Vega²,

Marinone³

et al. 2012

Mar. Ecol. Prog. Ser.

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Marine reserves (areas closed to fishing) have been advocated for the management of many species, including the rock scallop Spondylus calcifer in the northern Gulf of California (NGC), Mexico. We developed an explicit coupled biological-oceanographic model (CBOM) to assess connectivity among fished subpopulations of S. calcifer. We focused on the Puerto Peñasco corridor, located in the northeastern portion of the NGC. We validated CBOM's outputs through 2 different techniques: population genetics with 9 microsatellite loci and measurements of spat abundance on artificial collectors. We found strong demographic connectivity between the corridor and southern sources. Sampled localities showed low levels of genetic structure; however, we identified 2 subtly differentiated genetic clusters. On average, the spatial scale of demographic and genetic connectivity is in agreement, suggesting that connectivity decreases when the spatial scale is >100 km. We observed a gradient of higher values of both predicted particles and observed densities of settled spat for the northern and southern sites and lower values for the central sites. Larval recruitment within the corridor could be linked to a large spatial scale of larval inputs, including local sources and subpopulations further south. The absence of a strong barrier to migration suggests that the siting of marine reserves along upstream sites would likely benefit downstream subpopulations. The spatial scale of connectivity (~100 km) could be used as a reference for the strategic siting of marine reserves in the study area. CBOMs and population genetics are powerful complementary tools to assess the relative strength of connectivity among sites. KEY WORDS: Spondylus calcifer · Larval dispersal · Genetic structure · Marine reserves · Gulf of California Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 463: [159][160][161][162][163][164][165][166][167][168][169][170][171][172][173][174][175] 2012 grounds (Gell & Roberts 2003, Beukers-Stewart et al. 2005, Pelc et al. 2009).Benthic bivalve species are structured in metapopulations in which separate subpopulations of sessile juveniles and adults are connected through larval dispersal (Lipcius et al. 2005, Orensanz et al. 2006. The extent to which these subpopulations are linked by the exchange of larvae is termed connectivity and can have multiple and different patterns (Palumbi 2003, Orensanz et al. 2006. Thus, effective design and implementation of marine reserves requires knowledge about the spatial and temporal dynamics of biological connectivity between subpopulations, particularly those that are sources of larvae that can populate other habitats (Fogarty & Botsford 2007, Pelc et al. 2010.Depending on how connectivity is measured it can have different meanings and implications (e.g. for fisheries management, conservation of species and their evolutionary potential) (Lowe & Allendorf 2010). Demographic connectivity is the degree to which the subpopulation growth ...

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“…In fisheries assessment and management, the patterns of fish movement can be used to explain stock fluctuations (Pelletier and Parma, 1994). The way that marine organisms disperse depends on the species, species behavior, and currents (Marinone et al, 2008). Considering the long-distance migration that anchovy in the Black Sea undergo every year, studying movement of populations can provide valuable insights for fisheries science (Goodwin et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

2017

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Black Sea anchovy (Engraulis encrasicolus) undertake extensive overwintering migrations every fall from nursery grounds to warmer overwintering areas located on the south-eastern coast of the Black Sea. During migration and particularly upon arrival at the Anatolian coast, they support an important fishery and valuable source of income for the regional community. Black Sea anchovy have undergone significant stock fluctuations partly related to climatic conditions; for example, migrating anchovy schools arrived late or failed to arrive at the Anatolian coast when fall temperatures increased. It is therefore of importance to understand the conditions required for successful overwintering migration and explore different migration routes. This study invokes a Lagrangian modeling approach applied to satellite derived circulation and temperature data as a first attempt to model anchovy migration dynamics in the Black Sea. This modeling approach takes the influence of the physical environment into account, while the quality of overwintering grounds, adaptive, schooling, and homing behavior is neglected. The model is used to investigate the possible influence of interannual and seasonal variability of temperature and surface currents, as well as the influence of migration behavior on the success of anchovy overwintering migration for both the Black Sea and Azov Sea anchovy. The results of the present work show the possibility that overwintering anchovy fished along the Turkish Eastern Anatolian coast may not exclusively originate from the northwestern shelf, but mainly from the eastern Black Sea basin. Migration pathways are identified for both Black Sea and Azov Sea anchovy, which are of importance for the national fisheries efforts of riparian countries. The modeling results are in agreement with general patterns of anchovy migration given in the literature indicating that the physical environment may be a major factor in shaping general migration patterns. Simulation results are used to hypothesize about alternatives to previously determined migration routes and provide potential reasons that explain the inability of the Bulgarian anchovy fishery to recover. Results show that the intensity and timing of autumnal cooling, coupled with current Guraslan et al.Environmental Impact on Anchovy Overwintering Migration strength, can be of significant importance in determining annual and seasonal variability of migration success. Considering the need for fisheries management to account for the variability in fishable overwintering anchovy stocks a modeling approach as developed in the current study may provide such a tool.

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Connectivity in the northern Gulf of California from particle tracking in a three-dimensional numerical model

Cited by 51 publications

References 25 publications

Climate change impacts on connectivity in the ocean: Implications for conservation

Climate change impacts on connectivity in the ocean: Implications for conservation

Linking bio-oceanography and population genetics to assess larval connectivity

Understanding the Impact of Environmental Variability on Anchovy Overwintering Migration in the Black Sea and its Implications for the Fishing Industry

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