Publications by authors named "Carolyn J Foley"

Article Synopsis
  • The Landscape Theory of Food Web Architecture (LTFWA) explores how body size, trophic position, and energy channels interconnect in diverse habitats to maintain system stability, but evidence has been inconsistent across different ecosystems.
  • In a study of the Lake Michigan food web, researchers found a positive correlation between body size and trophic position, with variations based on whether species were supported by pelagic or benthic energy sources.
  • The findings indicated that while native top predators contribute to food web stability by connecting energy pathways, introduced species may disrupt this structure, highlighting the complex impacts of human activity on ecosystem dynamics.
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In aquatic systems, food web linkages are often assessed using diet contents, stable isotope ratios, and, increasingly, fatty acid composition of organisms. Some correlations between different trophic metrics are assumed to be well-supported; for example, particular stable isotope ratios and fatty acids seem to reflect reliance on benthic or pelagic energy pathways. However, understanding whether the assumed correlations between different trophic metrics are coherent and consistent across species represents a key step toward their effective use in food web studies.

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Microplastics are present in aquatic ecosystems the world over and may influence the feeding, growth, reproduction, and survival of freshwater and marine biota; however, the extent and magnitude of potential effects of microplastics on aquatic organisms is poorly understood. In the current study, we conducted a meta-analysis of published literature to examine impacts of exposure to microplastics on consumption (and feeding), growth, reproduction, and survival of fish and aquatic invertebrates. While we did observe within-taxa negative effects for all four categories of responses, many of the effects summarized in our study were neutral, indicating that the effects of exposure to microplastics are highly variable across taxa.

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Population structure dictates the evolution of each population, and thus, the species as a whole. Incorporating spatial variables with population genetic statistics allows for greater discovery beyond traditional population genetics alone and can inform management decisions. The understanding of population structure in Hessian fly, Mayetiola destructor (Say), a pest of wheat, has been limited in the past.

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