Literature DB >> 20181570

Detecting larval export from marine reserves.

R A Pelc1, R R Warner, S D Gaines, C B Paris.   

Abstract

Marine reserve theory suggests that where large, productive populations are protected within no-take marine reserves, fished areas outside reserves will benefit through the spillover of larvae produced in the reserves. However, empirical evidence for larval export has been sparse. Here we use a simple idealized coastline model to estimate the expected magnitude and spatial scale of larval export from no-take marine reserves across a range of reserve sizes and larval dispersal scales. Results suggest that, given the magnitude of increased production typically found in marine reserves, benefits from larval export are nearly always large enough to offset increased mortality outside marine reserves due to displaced fishing effort. However, the proportional increase in recruitment at sites outside reserves is typically small, particularly for species with long-distance (on the order of hundreds of kilometers) larval dispersal distances, making it very difficult to detect in field studies. Enhanced recruitment due to export may be detected by sampling several sites at an appropriate range of distances from reserves or at sites downcurrent of reserves in systems with directional dispersal. A review of existing empirical evidence confirms the model's suggestion that detecting export may be difficult without an exceptionally large differential in production, short-distance larval dispersal relative to reserve size, directional dispersal, or a sampling scheme that encompasses a broad range of distances from the reserves.

Mesh:

Year:  2010        PMID: 20181570      PMCID: PMC2972938          DOI: 10.1073/pnas.0907368107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  16 in total

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Authors:  C M Roberts; J A Bohnsack; F Gell; J P Hawkins; R Goodridge
Journal:  Science       Date:  2001-11-30       Impact factor: 47.728

2.  Equivalence in yield from marine reserves and traditional fisheries management

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Review 3.  Matching marine reserve design to reserve objectives.

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Journal:  Proc Biol Sci       Date:  2003-09-22       Impact factor: 5.349

4.  Scaling of connectivity in marine populations.

Authors:  R K Cowen; C B Paris; A Srinivasan
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5.  Spatial and temporal variability modify density dependence in populations of large herbivores.

Authors:  Guiming Wang; N Thompson Hobbs; Randall B Boone; Andrew W Illius; Iain J Gordon; John E Gross; Kenneth L Hamlin
Journal:  Ecology       Date:  2006-01       Impact factor: 5.499

6.  Dispersal limitation and environmental heterogeneity shape scale-dependent diversity patterns in plant communities.

Authors:  Amy L Freestone; Brian D Inouye
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7.  Fishing the line near marine reserves in single and multispecies fisheries.

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Journal:  Ecol Appl       Date:  2007-06       Impact factor: 4.657

8.  Global patterns in marine dispersal estimates: the influence of geography, taxonomic category and life history.

Authors:  Ian R Bradbury; Benjamin Laurel; Paul V R Snelgrove; Paul Bentzen; Steven E Campana
Journal:  Proc Biol Sci       Date:  2008-08-07       Impact factor: 5.349

9.  The effect of random variations of different types on population growth.

Authors:  R Levins
Journal:  Proc Natl Acad Sci U S A       Date:  1969-04       Impact factor: 11.205

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Authors:  Crow White; Bruce E Kendall; Steven Gaines; David A Siegel; Christopher Costello
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  25 in total

1.  Evolving science of marine reserves: new developments and emerging research frontiers.

Authors:  Steven D Gaines; Sarah E Lester; Kirsten Grorud-Colvert; Christopher Costello; Richard Pollnac
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-26       Impact factor: 11.205

2.  Incorporating biogeography into evaluations of the Channel Islands marine reserve network.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-22       Impact factor: 11.205

3.  Temperate marine protected area provides recruitment subsidies to local fisheries.

Authors:  A Le Port; J C Montgomery; A N H Smith; A E Croucher; I M McLeod; S D Lavery
Journal:  Proc Biol Sci       Date:  2017-10-25       Impact factor: 5.349

4.  Minimum size limits and the reproductive value of numerous, young, mature female fish.

Authors:  Charles P Lavin; Geoffrey P Jones; David H Williamson; Hugo B Harrison
Journal:  Proc Biol Sci       Date:  2021-03-10       Impact factor: 5.349

5.  Relative impacts of adult movement, larval dispersal and harvester movement on the effectiveness of reserve networks.

Authors:  Arnaud Grüss; David M Kaplan; Deborah R Hart
Journal:  PLoS One       Date:  2011-05-17       Impact factor: 3.240

6.  Persistence of self-recruitment and patterns of larval connectivity in a marine protected area network.

Authors:  Michael L Berumen; Glenn R Almany; Serge Planes; Geoffrey P Jones; Pablo Saenz-Agudelo; Simon R Thorrold
Journal:  Ecol Evol       Date:  2012-02       Impact factor: 2.912

7.  Larval connectivity and the international management of fisheries.

Authors:  Andrew S Kough; Claire B Paris; Mark J Butler
Journal:  PLoS One       Date:  2013-06-07       Impact factor: 3.240

8.  Increased disease calls for a cost-benefits review of marine reserves.

Authors:  Emma C Wootton; Andrew P Woolmer; Claire L Vogan; Edward C Pope; Kristina M Hamilton; Andrew F Rowley
Journal:  PLoS One       Date:  2012-12-11       Impact factor: 3.240

9.  Assessing dispersal patterns of fish propagules from an effective mediterranean marine protected area.

Authors:  Antonio Di Franco; Giovanni Coppini; José Martin Pujolar; Giulio A De Leo; Marino Gatto; Vladyslav Lyubartsev; Paco Melià; Lorenzo Zane; Paolo Guidetti
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

10.  Fishers' behaviour in response to the implementation of a Marine Protected Area.

Authors:  Bárbara Horta e Costa; Marisa I Batista; Leonel Gonçalves; Karim Erzini; Jennifer E Caselle; Henrique N Cabral; Emanuel J Gonçalves
Journal:  PLoS One       Date:  2013-06-03       Impact factor: 3.240

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