Chemosensory signals in stream habitats: implications for ecological interactions

Wolf, Mary C.; Martin, Arthur L.; Simon, Jodie L.; Bergner, Jennifer L.; Moore, Paul A.

doi:10.1899/08-108.1

Cited by 14 publications

(24 citation statements)

References 36 publications

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“…Variation in the degree of turbulent flow alters the structural patchiness of toxicant plumes within a stream environment (Sanford 1997;Yee and Biltoft 2004). This patchiness translates into variability in exposure pulses for organisms encountering the plume (Wolf et al 2009). Across locations within a natural stream environment, the processes that give rise to chemical plume structure vary as a function of local flow characteristics (Edwards and Moore 2014).…”

Section: Discussionmentioning

confidence: 99%

“…In Excel, the initial measurements of oxidation-reduction reactions at the electrode were converted into dopamine concentrations using the previously completed calibration curve for that electrode. This procedure follows established techniques for the analysis of spatiotemporal fluctuations in chemical signals using microelectrodes (Moore et al 1989;Schneider et al 1998;Wolf et al 2009; Harrigan and Moore 2017).…”

Section: Peak Analysismentioning

confidence: 99%

“…Variation in the degree of turbulent flow gives rise to variation in patchiness in the structure of chemical plumes. This patchiness translates into variability in exposure pulses for any organisms that encounter the plume (Wolf et al 2009;Edwards and Moore 2014). Any factors that affect flow dynamics throughout a stream habitat will alter the patchiness of chemical plumes, ultimately shaping exposure (Ludington and Moore 2017).…”

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confidence: 99%

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Mapping Dynamic Exposure: Constructing GIS Models of Spatiotemporal Heterogeneity in Artificial Stream Systems

Weighman

Moore

2019

Arch Environ Contam Toxicol

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In flowing environments, the degree of turbulent flow determines the movement and distribution of chemicals. Variation in flow alters the patchiness of toxicant plumes within a stream ecosystem. This patchiness translates into variability in exposure pulses for organisms encountering the toxic plume. Throughout a stream, the processes that give rise to chemical plume structure will vary as a function of local flow characteristics. This research examines the influence of toxicant mode of entry and stream flow velocity on the spatiotemporal patterning of exposure. Two introduction treatments were evaluated: one mimicking groundwater and the other mimicking runoff. The influence of flow regime was examined through the comparison of models constructed under two stream flow velocities. Concentrations of a tracer molecule were recorded using an electrochemical monitoring system. From these localized, direct measurements, geographic information systems (GIS) were used to model exposure throughout the stream. Conceptualizing exposure as a series of toxicant pulses, exposure can be defined using a variety of chemical peak characteristics. Three-dimensional, layered maps were constructed defining exposure as the integrated area of toxicant peaks, the magnitude of peaks, and peak frequency. Differences in the spatial and temporal patterning of exposure were apparent both within treatments and between treatments. No two definitions of exposure yielded the same exposure distributions for any treatment. These models demonstrate that distribution of chemical exposure throughout a stream ecosystem is linked to both toxicant mode of introduction and iii stream hydrodynamics. Furthermore, these results demonstrate that optimal exposure modeling relies on first defining exposure. iv ACKNOWLEDGMENTS I would like to thank my advisor, Dr. Paul A. Moore, and the members of the Laboratory for Sensory Ecology, past and present, for their continued support and guidance throughout this project. To those who came before me, this work would not exist had I not been able to stand on your shoulders. To the lab mates who spent a summer lugging cinderblocks on the stream pad with me, I owe you my sanity. I would like to thank the constellation of scientists, mentors, and friends who comprise the University of Michigan Biological Station. Your excitement and encouragement inspired me to become a scientist. My experiences at UMBS have shaped me immeasurably, and I couldn't be more grateful. Special thanks to the Marian P. and David M. Gates Graduate Student Endowment Fund for making this research possible. I would also like to thank my committee members, Dr. Louise Stevenson and Dr. Mamadou Coulibaly, for generously sharing their expertise. You have both pushed me to reflect on my work and generate better science. Your advice has been invaluable to me throughout this endeavor. Finally, I would like to thank the friends and family who have helped me to navigate, not only my graduate studies, but life in general. Molly and Brody, thank you for being...

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Section: Discussionmentioning

confidence: 99%

Section: Peak Analysismentioning

confidence: 99%

mentioning

confidence: 99%

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Mapping Dynamic Exposure: Constructing GIS Models of Spatiotemporal Heterogeneity in Artificial Stream Systems

Weighman

Moore

2019

Arch Environ Contam Toxicol

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“…Exceptions include the work of Wolf et al (2009) who measured larger fluctuations in a surrogate chemical signal in gravel-bedded areas of a river than in sand-bedded reaches, due to the greater turbulence generation over coarser substrates. Moore and Grills (1999) also found that crayfish (Orconectes rusticus) located food quicker in streams with cobble beds rather than those with sand substrates and suggested that this was because of increased turbulent mixing and, consequently, wider propagation of the signal.…”

Section: Flow Direction and Turbulencementioning

confidence: 99%

Animal perception in gravel-bed rivers: scales of sensing and environmental controls on sensory information

Johnson

Rice

2014

Can. J. Fish. Aquat. Sci.

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Animals make decisions based on the sensory information that they obtain from the environment and other organisms within that environment. In a river, this information is transported, transmitted, masked, and filtered by fluvial factors and processes, such as relative roughness and turbulent flow. By interpreting the resultant signals, animals decide on the suitability of habitat and their reaction to other organisms. While a great deal is known about the sensory biology of animals, only limited attention has been paid to the environmental controls on the propagation of sensory information within rivers. Here, the potential transport mechanisms and masking processes of the sensory information used by animals in gravel-bed rivers are assessed by considering how the physical nature of sensory signals are affected by river hydromorphology. In addition, the physical processes that animals have the potential to directly perceive are discussed. Understanding the environmental phenomena that animals directly perceive will substantially improve understanding of what controls animal distributions, shifting emphasis from identifying correlations between biotic and abiotic factors to a better appreciation of causation, with benefits for successful management.

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“…Due to the limited nature of light (visual stimuli) in aquatic habitats, ecological behaviors such as foraging (Weissburg and Zimmer-Faust 1994), locating mates or conspecifics (Hazlett 1985; Endler 1987; Aquiloni et al 2012), and avoiding predation (Gelowitz et al 1993) are highly mediated through chemical stimuli (Moore and Crimaldi 2004; Wolf et al 2009). Chemical stimuli contain information evoking behavioral responses (Jurcak and Moore 2014) which have evolved in habitats free of interference with chemoreception (Endler 2000).…”

mentioning

confidence: 99%

Exposure to Sublethal Ammonia Concentrations Alters the Duration and Intensity of Agonistic Interactions in the Crayfish, Orconectes rusticus

Edwards

Klotz

Moore

2017

Bull Environ Contam Toxicol

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Crayfish extract information from chemical stimuli during social interactions. Commercial fertilizers increase background ammonia concentrations which may interfere with chemical communication. Background pollution can disrupt perception of chemical stimuli in three ways: masking, sensory impairment, physiological impairment or in combination. We investigated whether exposure to ammonia alters agonistic behavior. Crayfish pairs exposed to 0.9 mg/L ammonia fought for a longer duration, while crayfish exposed to 9.0 mg/L ammonia fought for a shorter duration. Altering activity patterns of crayfish may alter crayfish populations leading to a nonproportional impact because of their importance to the structure and function of aquatic ecosystems.

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Chemosensory signals in stream habitats: implications for ecological interactions

Cited by 14 publications

References 36 publications

Mapping Dynamic Exposure: Constructing GIS Models of Spatiotemporal Heterogeneity in Artificial Stream Systems

Mapping Dynamic Exposure: Constructing GIS Models of Spatiotemporal Heterogeneity in Artificial Stream Systems

Animal perception in gravel-bed rivers: scales of sensing and environmental controls on sensory information

Exposure to Sublethal Ammonia Concentrations Alters the Duration and Intensity of Agonistic Interactions in the Crayfish, Orconectes rusticus

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