20 research outputs found
Fear and food: Effects of predator-derived chemical cues and stoichiometric food quality on Daphnia
While resource quality and predatorâderived chemical cues can each have profound effects on zooplankton populations and their function in ecosystems, the strength and direction of their interactive effects remain unclear. We conducted laboratory experiments to evaluate how stoichiometric food quality (i.e., algal carbon [C] : phosphorus [P] ratios) affects responses of the zooplankter, Daphnia pulicaria, to predatorâderived chemical cues. We compared growth rates, body P content, metabolic rates, lifeâhistory shifts, and survival of differentially Pânourished Daphnia in the presence and absence of chemical cues derived from fish predators. We found effects of predator cues and/or stoichiometric food quality on all measured traits of Daphnia. Exposure to fish cues led to reduced growth and increased metabolic rates but had little effect on the body %P content of Daphnia. Elevated algal C : P ratios reduced growth and body %P and increased massâspecific respiration rates. While most of the effects of predator cues and algal C : P ratios of Daphnia were nonâinteractive, reduced survival and relatedly reduced population growth rates that resulted from Pâpoor food were amplified in the presence of predatorâderived cues. Our results demonstrate that stoichiometric food quality interacts with antipredator responses of Daphnia, but these effects are largely trait dependent and appear connected to animal lifeâhistory evolution. Given the ubiquity of predators and Pâpoor food in lake ecosystems, our results highlight the importance of the interactive responses of animals to predator cues and poor nutrition
Sample histogram separating activity modes in Blandingâs turtles: Terrestrial in-motion from motionless and aquatic in-motion from motionless.
The red vertical line indicates the threshold value determined after testing the accuracy of ÎODBA values within the overlapping regions. These histograms are based on data sampled at 1 Hz. (PDF)</p
Qualitative selection of the most suitable threshold value (vertical line) relative to accuracy, sensitivity and specificity for Blandingâs turtles and Painted turtles, using accelerometer data sampled at 1 Hz.
Qualitative selection of the most suitable threshold value (vertical line) relative to accuracy, sensitivity and specificity for Blandingâs turtles and Painted turtles, using accelerometer data sampled at 1 Hz.</p
Daily activity-budget for Blandingâs (n = 16) and Painted turtles (n = 23) in the South March Highlands, Ottawa.
Shown are mean proportion (± SD) of time spent doing each of the four main states during a 24-hour period.</p
Overall classification performance for the testing data used to classify Blandingâs turtle and Painted turtle activity based on accelerometry and water sensor data, sampled at 1 Hz.
Overall classification performance for the testing data used to classify Blandingâs turtle and Painted turtle activity based on accelerometry and water sensor data, sampled at 1 Hz.</p
S2 Fig -
Accelerometer (left) and VHF transmitter (right) bolted onto the rear carapace margin of a Painted turtle. (PDF)</p
Mean overall dynamic body acceleration (ODBA) as a function of the duration of the smoothing window for Blandingâs and Painted turtle terrestrial and aquatic motion, using accelerometer data sampled at 1 Hz.
Maximum ODBA value (solid line) and 95% of the maximum ODBA value (dashed) are indicated.</p
Classification performance for the testing data used to classify Blandingâs turtle and Painted turtle activity based on accelerometry data, using the other speciesâ threshold values.
Classification performance for the testing data used to classify Blandingâs turtle and Painted turtle activity based on accelerometry data, using the other speciesâ threshold values.</p
S3 Fig -
Boxplot of length of recorded states (top panel), and number of occasions each state was observed (bottom panel) across Blandingâs (blue) and Painted turtles (orange). (PDF)</p