Literature DB >> 27334869

More than a corridor: use of a main stem stream as supplemental foraging habitat by a brook trout metapopulation.

Brock M Huntsman1,2, J Todd Petty3, Shikha Sharma4, Eric R Merriam3.   

Abstract

Coldwater fishes in streams, such as brook trout (Salvelinus fontinalis), typically are headwater specialists that occasionally expand distributions downstream to larger water bodies. It is unclear, however, whether larger streams function simply as dispersal corridors connecting headwater subpopulations, or as critical foraging habitat needed to sustain large mobile brook trout. Stable isotopes (δ(13)C and δ(15)N) and a hierarchical Bayesian mixing model analysis was used to identify brook trout that foraged in main stem versus headwater streams of the Shavers Fork watershed, West Virginia. Headwater subpopulations were composed of headwater and to a lesser extent main stem foraging individuals. However, there was a strong relationship between brook trout size and main stem prey contributions. The average brook trout foraging on headwater prey were limited to 126 mm standard length. This size was identified by mixing models as a point where productivity support switched from headwater to main stem dependency. These results, similar to other studies conducted in this watershed, support the hypothesis that productive main stem habitat maintain large brook trout and potentially facilitates dispersal among headwater subpopulations. Consequently, loss of supplementary main stem foraging habitats may explain loss of large, mobile fish and subsequent isolation of headwater subpopulations in other central Appalachian watersheds.

Entities:  

Keywords:  Binary Patch-Matrix; Habitat supplementation; Metapopulations; River continuum concept; Riverscape

Mesh:

Year:  2016        PMID: 27334869     DOI: 10.1007/s00442-016-3676-4

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  20 in total

1.  Erroneous behaviour of MixSIR, a recently published Bayesian isotope mixing model: a discussion of Moore & Semmens (2008).

Authors:  Andrew L Jackson; Richard Inger; Stuart Bearhop; Andrew Parnell
Journal:  Ecol Lett       Date:  2008-08-07       Impact factor: 9.492

2.  Habitat structure determines resource use by zooplankton in temperate lakes.

Authors:  Tessa B Francis; Daniel E Schindler; Gordon W Holtgrieve; Eric R Larson; Mark D Scheuerell; Brice X Semmens; Eric J Ward
Journal:  Ecol Lett       Date:  2011-02-14       Impact factor: 9.492

3.  Quantitative food web analysis supports the energy-limitation hypothesis in cave stream ecosystems.

Authors:  Michael P Venarsky; Brock M Huntsman; Alexander D Huryn; Jonathan P Benstead; Bernard R Kuhajda
Journal:  Oecologia       Date:  2014-09-14       Impact factor: 3.225

4.  Effects of chemical lipid extraction and arithmetic lipid correction on stable isotope ratios of fish tissues.

Authors:  C J Sweeting; N V C Polunin; S Jennings
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

5.  Recent Bayesian stable-isotope mixing models are highly sensitive to variation in discrimination factors.

Authors:  Alexander L Bond; Antony W Diamond
Journal:  Ecol Appl       Date:  2011-06       Impact factor: 4.657

6.  Fish recruitment, dispersal, and trophic interactions in a heterogeneous lotic environment.

Authors:  Isaac J Schlosser
Journal:  Oecologia       Date:  1998-01       Impact factor: 3.225

7.  Estimating the scale of fish feeding movements in rivers using delta(13)C signature gradients.

Authors:  Joseph B Rasmussen; Veronique Trudeau; Genevieve Morinville
Journal:  J Anim Ecol       Date:  2009-05       Impact factor: 5.091

8.  Lipid corrections in carbon and nitrogen stable isotope analyses: comparison of chemical extraction and modelling methods.

Authors:  John M Logan; Timothy D Jardine; Timothy J Miller; Stuart E Bunn; Richard A Cunjak; Molly E Lutcavage
Journal:  J Anim Ecol       Date:  2008-05-16       Impact factor: 5.091

9.  Density-dependent regulation of brook trout population dynamics along a core-periphery distribution gradient in a central Appalachian watershed.

Authors:  Brock M Huntsman; J Todd Petty
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

10.  Quantifying inter- and intra-population niche variability using hierarchical bayesian stable isotope mixing models.

Authors:  Brice X Semmens; Eric J Ward; Jonathan W Moore; Chris T Darimont
Journal:  PLoS One       Date:  2009-07-09       Impact factor: 3.240

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  1 in total

1.  Effects of Temperature and Spatial Scale on Rio Grande Cutthroat Trout Growth and Abundance.

Authors:  Brock M Huntsman; Roy W Martin; Kirk Patten
Journal:  Trans Am Fish Soc       Date:  2018-05       Impact factor: 1.861

  1 in total

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