Literature DB >> 27708153

Density-dependent changes in effective area occupied for sea-bottom-associated marine fishes.

James T Thorson1, Anna Rindorf2, Jin Gao3, Dana H Hanselman4, Henning Winker5.   

Abstract

The spatial distribution of marine fishes can change for many reasons, including density-dependent distributional shifts. Previous studies show mixed support for either the proportional-density model (PDM; no relationship between abundance and area occupied, supported by ideal-free distribution theory) or the basin model (BM; positive abundance-area relationship, supported by density-dependent habitat selection theory). The BM implies that fishes move towards preferred habitat as the population declines. We estimate the average relationship using bottom trawl data for 92 fish species from six marine regions, to determine whether the BM or PDM provides a better description for sea-bottom-associated fishes. We fit a spatio-temporal model and estimate changes in effective area occupied and abundance, and combine results to estimate the average abundance-area relationship as well as variability among taxa and regions. The average relationship is weak but significant (0.6% increase in area for a 10% increase in abundance), whereas only a small proportion of species-region combinations show a negative relationship (i.e. shrinking area when abundance increases). Approximately one-third of combinations (34.6%) are predicted to increase in area more than 1% for every 10% increase in abundance. We therefore infer that population density generally changes faster than effective area occupied during abundance changes. Gadiformes have the strongest estimated relationship (average 1.0% area increase for every 10% abundance increase) followed by Pleuronectiformes and Scorpaeniformes, and the Eastern Bering Sea shows a strong relationship between abundance and area occupied relative to other regions. We conclude that the BM explains a small but important portion of spatial dynamics for sea-bottom-associated fishes, and that many individual populations merit cautious management during population declines, because a compressed range may increase the efficiency of harvest.
© 2016 The Author(s).

Entities:  

Keywords:  basin model; density-dependent habitat selection; ideal-free distribution; meta-analysis; spatio-temporal

Mesh:

Year:  2016        PMID: 27708153      PMCID: PMC5069519          DOI: 10.1098/rspb.2016.1853

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  6 in total

1.  Ideal free distributions, evolutionary games, and population dynamics in multiple-species environments.

Authors:  Ross Cressman; Vlastimil Krivan; József Garay
Journal:  Am Nat       Date:  2004-09-01       Impact factor: 3.926

2.  Climate change and distribution shifts in marine fishes.

Authors:  Allison L Perry; Paula J Low; Jim R Ellis; John D Reynolds
Journal:  Science       Date:  2005-05-12       Impact factor: 47.728

Review 3.  Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling.

Authors:  Noel Cressie; Catherine A Calder; James S Clark; Jay M Ver Hoef; Christopher K Wikle
Journal:  Ecol Appl       Date:  2009-04       Impact factor: 4.657

4.  Marine taxa track local climate velocities.

Authors:  Malin L Pinsky; Boris Worm; Michael J Fogarty; Jorge L Sarmiento; Simon A Levin
Journal:  Science       Date:  2013-09-13       Impact factor: 47.728

5.  Rigorous meta-analysis of life history correlations by simultaneously analyzing multiple population dynamics models.

Authors:  James T Thorson; Ian G Taylor; Ian J Stewart; André E Punt
Journal:  Ecol Appl       Date:  2014-03       Impact factor: 4.657

6.  The potential for spatial distribution indices to signal thresholds in marine fish biomass.

Authors:  Emilie Reuchlin-Hugenholtz; Nancy L Shackell; Jeffrey A Hutchings
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

  6 in total
  2 in total

1.  Range contraction enables harvesting to extinction.

Authors:  Matthew G Burgess; Christopher Costello; Alexa Fredston-Hermann; Malin L Pinsky; Steven D Gaines; David Tilman; Stephen Polasky
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-28       Impact factor: 11.205

2.  Relative importance of population size, fishing pressure and temperature on the spatial distribution of nine Northwest Atlantic groundfish stocks.

Authors:  Charles F Adams; Larry A Alade; Christopher M Legault; Loretta O'Brien; Michael C Palmer; Katherine A Sosebee; Michele L Traver
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.