Literature DB >> 12027616

The effects of dispersal patterns on marine reserves: does the tail wag the dog?

Dale R Lockwood1, Alan Hastings, Louis W Botsford.   

Abstract

The concept of marine reserves as a method of improving management of fisheries is gaining momentum. While the list of benefits from reserves is frequently promoted, precise formulations of theory to support reserve design are not fully developed. To determine the size of reserves and the distances between reserves an understanding of the requirements for persistence of local populations is required. Unfortunately, conditions for persistence are poorly characterized, as are the larval dispersal patterns on which persistence depends. With the current paucity of information regarding meroplanktonic larval transport processes, understanding the robustness of theoretical results to larval dispersal is of key importance. From this formulation a broad range of dispersal patterns are analyzed. Larval dispersal is represented by a probability distribution that defines the fraction of successful settlers from an arbitrary location, the origin of the distribution, to any other location along the coast. While the effects of specific dispersal patterns have been investigated for invasion processes, critical habitat size and persistence issues have generally been addressed with only one or two dispersal types. To that end, we formulate models based on integrodifference equations that are spatially continuous and temporally discrete. We consider a range of dispersal distributions from leptokurtic to platykurtic. The effect of different dispersal patterns is considered for a single isolated reserve of varying size receiving no external larvae, as well as multiple reserves with varying degrees of connectivity. While different patterns result in quantitative differences in persistence, qualitatively similar effects across all patterns are seen in both single- and multiple reserve models. Persistence in an isolated reserve requires a size that is approximately twice the mean dispersal distance and regardless of the dispersal pattern the population in a patch is not persistent if the reserve size is reduced to just the mean dispersal distance. With an idealized coastline structure consisting of an infinite line of equally spaced reserves separated by regions of coastline in which reproduction is nil, the relative settlement as a function of the fraction of coastline and size of reserve is qualitatively very similar over a broad range of dispersal patterns. The upper limit for the minimum fraction of coastline held in reserve is about 40%. As the fraction of coastline is reduced, the minimum size of reserve becomes no more than 1.25 times the mean dispersal distance.

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Year:  2002        PMID: 12027616     DOI: 10.1006/tpbi.2002.1572

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  12 in total

1.  Regime, phase and paradigm shifts: making community ecology the basic science for fisheries.

Authors:  Marc Mangel; Phillip S Levin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-01-29       Impact factor: 6.237

2.  Persistence of spatial populations depends on returning home.

Authors:  Alan Hastings; Louis W Botsford
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-11       Impact factor: 11.205

3.  Integrodifference equations in patchy landscapes : I. Dispersal Kernels.

Authors:  Jeffrey Musgrave; Frithjof Lutscher
Journal:  J Math Biol       Date:  2013-08-02       Impact factor: 2.259

4.  Detecting larval export from marine reserves.

Authors:  R A Pelc; R R Warner; S D Gaines; C B Paris
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-24       Impact factor: 11.205

5.  Designing marine reserve networks for both conservation and fisheries management.

Authors:  Steven D Gaines; Crow White; Mark H Carr; Stephen R Palumbi
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-03       Impact factor: 11.205

6.  Seasonal influences on population spread and persistence in streams: spreading speeds.

Authors:  Yu Jin; Mark A Lewis
Journal:  J Math Biol       Date:  2011-09-03       Impact factor: 2.259

7.  A discrete-time model for population persistence in habitats with time-varying sizes.

Authors:  Ying Zhou; William F Fagan
Journal:  J Math Biol       Date:  2017-01-18       Impact factor: 2.259

8.  Connectivity and resilience of coral reef metapopulations in marine protected areas: matching empirical efforts to predictive needs.

Authors:  L W Botsford; J W White; M-A Coffroth; C B Paris; S Planes; T L Shearer; S R Thorrold; G P Jones
Journal:  Coral Reefs       Date:  2009-06       Impact factor: 3.902

9.  Dispersal patterns of coastal fish: implications for designing networks of marine protected areas.

Authors:  Antonio Di Franco; Bronwyn M Gillanders; Giuseppe De Benedetto; Antonio Pennetta; Giulio A De Leo; Paolo Guidetti
Journal:  PLoS One       Date:  2012-02-15       Impact factor: 3.240

10.  Evaluation of rockfish conservation area networks in the United States and Canada relative to the dispersal distance for black rockfish (Sebastes melanops).

Authors:  Katie E Lotterhos; Stefan J Dick; Dana R Haggarty
Journal:  Evol Appl       Date:  2013-11-04       Impact factor: 5.183

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