Factors affecting competitive dominance of rainbow trout over brook trout in southern appalachian streams: Implications of an individual-based model

Mark E. Clark, Kenneth A. Rose

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

We used an individual-based model to examine possible explanations for the dominance of rainbow trout Oncorhynchus mykiss over brook trout Salvelinus fontinalis in southern Appalachian streams. Model simulations were used to quantify the effects on interspecific competition of (1) competitive advantage for feeding sites by rainbow trout, (2) latitudinal differences in stream temperatures, flows, and daylight, (3) year-class failures, (4) lower fecundity of brook trout, and (5) reductions in spawning habitat. The model tracks the daily spawning, growth, and survival of individuals of both species throughout their lifetime in a series of connected stream habitat units (pools, runs, or riffles). Average densities of each species based on 100-year simulations were compared for several levels of each of the five factors and for sympatric and allopatric conditions. Based on model results and empirical information, we conclude that more frequent year-class failures and the lower fecundity of brook trout are both possible and likely explanations for rainbow trout dominance, that warmer temperatures due to latitude and limited spawning habitat are possible but unlikely explanations, and that competitive advantage for feeding sites by rainbow trout is an unlikely explanation. Additional field work should focus on comparative studies of the reproductive success and the early life stage mortalities of brook and rainbow trout among Appalachian streams with varying rainbow trout dominance.

Original languageEnglish (US)
Pages (from-to)1-20
Number of pages20
JournalTransactions of the American Fisheries Society
Volume126
Issue number1
DOIs
StatePublished - Jan 1997
Externally publishedYes

Bibliographical note

Funding Information:
Glenn Cada, Thomas Martin, Frank Rahel, An-nett Trebitz, and Webb Van Winkle provided help-ful comments on an earlier version of this paper. M. E. Clark was supported by a fellowship from the Electric Power Research Institute (EPRI) Fellowship Program in Population Biology through the American Sportfishing Association EPRI Fel- lowship Program. This research was also partially sponsored by EPRI under contract RP2932-2 (DOE number ERD-87-672) with the U.S. De- partment of Energy via contract DE-AC05- 96OR22464 with Lockheed Martin Energy Research Corp. This is publication 4579 of the En-vironmental Sciences Division, Oak Ridge Na- tional Laboratory.

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