Literature DB >> 19831073

Marine reserve networks for species that move within a home range.

Elizabeth A Moffitt1, Louis W Botsford, David M Kaplan, Michael R O'Farrell.   

Abstract

Marine reserves are expected to benefit a wide range of species, but most models used to evaluate their effects assume that adults are sedentary, thereby potentially overestimating population persistence. Many nearshore marine organisms move within a home range as adults, and there is a need to understand the effects of this type of movement on reserve performance. We incorporated movement within a home range into a spatially explicit marine reserve model in order to assess the combined effects of adult and larval movement on persistence and yield in a general, strategic framework. We describe how the capacity of a population to persist decreased with increasing home range size in a manner that depended on whether the sedentary case was maintained by self persistence or network persistence. Self persistence declined gradually with increasing home range and larval dispersal distance, while network persistence decreased sharply to 0 above a threshold home range and was less dependent on larval dispersal distance. The maximum home range size protected by a reserve network increased with the fraction of coastline in reserves and decreasing exploitation rates outside reserves. Spillover due to movement within a home range contributed to yield moderately under certain conditions, although yield contributions were generally not as large as those from spillover due to larval dispersal. Our results indicate that, for species exhibiting home range behavior, persistence in a network of marine reserves may be more predictable than previously anticipated from models based solely on larval dispersal, in part due to better knowledge of home range sizes. Including movement within a home range can change persistence results significantly from those assuming that adults are sedentary; hence it is an important consideration in reserve design.

Mesh:

Year:  2009        PMID: 19831073     DOI: 10.1890/08-1101.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  14 in total

1.  The good, the bad and the ugly of marine reserves for fishery yields.

Authors:  Giulio A De Leo; Fiorenza Micheli
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-11-05       Impact factor: 6.237

2.  Differential movement and movement bias models for marine protected areas.

Authors:  Jessica Langebrake; Louise Riotte-Lambert; Craig W Osenberg; Patrick De Leenheer
Journal:  J Math Biol       Date:  2011-02-12       Impact factor: 2.259

3.  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

Review 4.  Home-range allometry in coral reef fishes: comparison to other vertebrates, methodological issues and management implications.

Authors:  Kirsty L Nash; Justin Q Welsh; Nicholas A J Graham; David R Bellwood
Journal:  Oecologia       Date:  2014-11-26       Impact factor: 3.225

5.  Seasonal and ontogenetic changes in movement patterns of sixgill sharks.

Authors:  Kelly S Andrews; Greg D Williams; Phillip S Levin
Journal:  PLoS One       Date:  2010-09-08       Impact factor: 3.240

6.  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

7.  Setting expected timelines of fished population recovery for the adaptive management of a marine protected area network.

Authors:  Katherine A Kaplan; Lauren Yamane; Louis W Botsford; Marissa L Baskett; Alan Hastings; Sara Worden; J Wilson White
Journal:  Ecol Appl       Date:  2019-07-26       Impact factor: 6.105

8.  Changes in fish assemblages following the establishment of a network of no-take marine reserves and partially-protected areas.

Authors:  Brendan P Kelaher; Melinda A Coleman; Allison Broad; Matthew J Rees; Alan Jordan; Andrew R Davis
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

9.  Fish with chips: tracking reef fish movements to evaluate size and connectivity of Caribbean marine protected areas.

Authors:  Simon J Pittman; Mark E Monaco; Alan M Friedlander; Bryan Legare; Richard S Nemeth; Matthew S Kendall; Matthew Poti; Randall D Clark; Lisa M Wedding; Chris Caldow
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

10.  Bayesian State-Space Modelling of Conventional Acoustic Tracking Provides Accurate Descriptors of Home Range Behavior in a Small-Bodied Coastal Fish Species.

Authors:  Josep Alós; Miquel Palmer; Salvador Balle; Robert Arlinghaus
Journal:  PLoS One       Date:  2016-04-27       Impact factor: 3.240

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