Literature DB >> 20405802

The role of spatial dynamics in the stability, resilience, and productivity of an estuarine fish population.

L A Kerr1, S X Cadrin, D H Secor.   

Abstract

Understanding mechanisms that support long-term persistence of populations and sustainability of productive fisheries is a priority in fisheries management. Complex spatial structure within populations is increasingly viewed as a result of a plastic behavioral response that can have consequences for the dynamics of a population. We incorporated spatial structure and environmental forcing into a population model to examine the consequences for population stability (coefficient of variation of spawning-stock biomass), resilience (time to recover from disturbance), and productivity (spawning-stock biomass). White perch (Morone americana) served as a model species that exhibits simultaneous occurrence of migratory and resident groups within a population. We evaluated the role that contingents (behavioral groups within populations that exhibit divergent life histories) play in mitigating population responses to unfavorable environmental conditions. We used age-structured models that incorporated contingent-specific vital rates to simulate population dynamics of white perch in a sub-estuary of Chesapeake Bay, USA. The dynamics of the population were most sensitive to the proportion of individuals within each contingent and to a lesser degree to the level of correlation in recruitment between contingents in their responses to the environment. Increased representation of the dispersive contingent within populations resulted in increased productivity and resilience, but decreased stability. Empirical evidence from the Patuxent River white perch population was consistent with these findings. A high negative correlation in resident and dispersive contingent recruitment dynamics resulted in increased productivity and stability, with little effect on resilience. With high positive correlation between contingent recruitments, the model showed similar responses in population productivity and resilience, but decreased stability. Because contingent structure involves differing patterns of nursery habitat use, spatial management that conserves sets of habitats rather than the single most productive nursery habitat would be expected to contribute to long-term population stability.

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Year:  2010        PMID: 20405802     DOI: 10.1890/08-1382.1

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


  16 in total

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2.  Influence of Benthic Macrofauna as a Spatial Structuring Agent for Juvenile Haddock (Melanogrammus aeglefinus) on the Eastern Scotian Shelf, Atlantic Canada.

Authors:  Beatriz Rincón; Ellen L Kenchington
Journal:  PLoS One       Date:  2016-09-20       Impact factor: 3.240

3.  Performance of maximum likelihood mixture models to estimate nursery habitat contributions to fish stocks: a case study on sea bream Sparus aurata.

Authors:  Edwin J Niklitschek; Audrey M Darnaude
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4.  Seasonal variability shapes resilience of small-scale fisheries in Baja California Sur, Mexico.

Authors:  Kara E Pellowe; Heather M Leslie
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

5.  Adaptive genetic variation underlies biocomplexity of Atlantic Cod in the Gulf of Maine and on Georges Bank.

Authors:  G V Clucas; L A Kerr; S X Cadrin; D R Zemeckis; G D Sherwood; D Goethel; Z Whitener; A I Kovach
Journal:  PLoS One       Date:  2019-05-24       Impact factor: 3.240

6.  Age-specific habitat preference, carrying capacity, and landscape structure determine the response of population spatial variability to fishing-driven age truncation.

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Journal:  Ecol Evol       Date:  2021-03-31       Impact factor: 2.912

7.  Spawning site selection and contingent behavior in Common Snook, Centropomus undecimalis.

Authors:  Susan Lowerre-Barbieri; David Villegas-Ríos; Sarah Walters; Joel Bickford; Wade Cooper; Robert Muller; Alexis Trotter
Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

8.  A Generalized Spatial Measure for Resilience of Microbial Systems.

Authors:  Ryan S Renslow; Stephen R Lindemann; Hyun-Seob Song
Journal:  Front Microbiol       Date:  2016-04-07       Impact factor: 5.640

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Authors:  Stuart Carson; Nancy Shackell; Joanna Mills Flemming
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

10.  Assessment modelling approaches for stocks with spawning components, seasonal and spatial dynamics, and limited resources for data collection.

Authors:  Elisabeth Van Beveren; Daniel E Duplisea; Pablo Brosset; Martin Castonguay
Journal:  PLoS One       Date:  2019-09-23       Impact factor: 3.240

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