Mantis

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 7380 Experts worldwide ranked by ideXlab platform

Kathryn Knight - One of the best experts on this subject based on the ideXlab platform.

William D. Brown - One of the best experts on this subject based on the ideXlab platform.

  • Population Structure, Movement Patterns, and Frequency of Multiple Matings in Tenodera sinensis (Mantodea: Mantidae)
    Environmental Entomology, 2018
    Co-Authors: Tyler Christensen, William D. Brown
    Abstract:

    Models of the evolution of sexual cannibalism show that the frequency of male mating opportunities has significant impact on male choice and male risk aversion. In this study, we examined ecological components that should affect opportunities for multiple mating in wild populations of the Chinese mantid (Tenodera sinensis Saussure). While conducting mark-recapture studies of two field populations over the course of two seasons, along with Global Positioning System data on locations of individuals, we collected data on population densities, movement patterns, and individual ranges to estimate the overlap of adult males and female mantids. Our results show that local populations of mantids range from 89 to 161 individuals and occur at densities ranging from 10 to 39 mantids per 1,000 m2. Males move greater distances daily compared with females, giving males larger home range sizes. The ranges of male mantids overlapped with multiple females, thus offering the potential for multiple mating by males. We directly observed 11 encounters between male and female T. sinensis, including one multiple mating by an individual male. The overall mate encounter rate for males was 12.5%. We also provide additional observations of interspecific sexual attraction between T. sinensis and Mantis religiosa Linne (Mantodea: Mantidae). Mantids were most commonly found within the top 20% of two flowering plants, goldenrod (Solidago Linnaeus spp. (Asterales: Asteraceae)) and mugwort (Artemisia vulgaris Linnaeus (Asterales: Asteraceae)), which should place them in prime locations for capturing flying pollinators.

  • Mate attraction by females in a sexually cannibalistic praying Mantis
    Behavioral Ecology and Sociobiology, 2008
    Co-Authors: Jonathan P Lelito, William D. Brown
    Abstract:

    We studied mate attraction by females of the praying mantid, Tenodera aridifolia sinensis , testing honest signaling of mate availability versus deceptive signaling to attract males for sexual cannibalism. We experimentally varied female diet and mating history and measured the rate of attraction of a wild population of males to caged females. Honest signaling theory predicts that virgin females will attract males at the greatest rate whereas deceptive signaling predicts that hungry females (which are more likely to cannibalize males) will attract more males, particularly among non-virgin females. Our results show that hungry females did not attract more males than well-fed females. Indeed, the opposite was true: hungry females attracted significantly fewer males. Moreover, hungry females were no more likely than well-fed females to attract males subsequent to mating, and mated females attracted males at a lower rate than did virgin females. We also observed female T. aridifolia sinensis and male Mantis religiosa arriving at the caged females and we discuss the significance of these observations. The results refute the hypothesis of deceptive signaling and show that mate attraction signals of female T. aridifolia sinensis are honest indicators of female mate availability and a lower risk of sexual cannibalism.

  • complicity or conflict over sexual cannibalism male risk taking in the praying Mantis tenodera aridifolia sinensis
    The American Naturalist, 2006
    Co-Authors: Jonathan P Lelito, William D. Brown
    Abstract:

    Abstract: Male complicity versus conflict over sexual cannibalism in mantids remains extremely controversial, yet few studies have attempted to establish a causal relationship between risk of cannibalism and male reproductive behavior. We studied male risk‐taking behavior in the praying mantid Tenodera aridifolia sinensis by altering the risk imposed by females and measuring changes in male behavior. We show that males were less likely to approach hungrier, more rapacious females, and when they did approach, they moved more slowly, courted with greater intensity, and mounted from a greater distance. Similarly, when forced to approach females head‐on, within better view and better reach of females, males also approached more slowly and courted with greater intensity. Thus, males behaved in a manner clearly indicative of risk avoidance, and we support the hypothesis of sexual conflict over sexual cannibalism.

Yoshifumi Yamawaki - One of the best experts on this subject based on the ideXlab platform.

  • Decision-making and motor control in predatory insects: a review of the praying Mantis
    Ecological Entomology, 2017
    Co-Authors: Yoshifumi Yamawaki
    Abstract:

    1. Predatory and defensive behaviours require multiple stages of decision‐making in predatory insects, such as the praying Mantis. 2. During predation, a praying Mantis must decide where to ambush prey and which prey to fixate on, catch, and eat. The Mantis also needs to decide how to track, approach, and catch prey, all the while controlling these actions depending on the visual features and position of the prey. For defence, a Mantis must decide when to be defensive and which defensive response to initiate. 3. This review summarises the current knowledge of decision‐making processes and the corresponding motor control in the Mantis, remarking on the importance of considering the interaction between predatory and defensive systems. Current research suggests that the Mantis is a good model for revealing the mechanisms behind an animal's selection of a certain behaviour from a broad repertoire.

  • Defence behaviours of the praying Mantis Tenodera aridifolia in response to looming objects
    Journal of insect physiology, 2011
    Co-Authors: Yoshifumi Yamawaki
    Abstract:

    Defence responses to approaching objects were observed in the Mantis Tenodera aridifolia. The Mantis showed three kinds of behaviour, fixation, evasion and cryptic reaction. The cryptic reaction consisted of rapid retraction of the forelegs under the prothorax or rapid extending of the forelegs in the forward direction. Obstructing the Mantis' sight decreased its response rates, suggesting that the visual stimuli generated by an approaching object elicited the cryptic reaction. The response rate of the cryptic reactions was highest for objects that approached on a direct collision course. Deviation in a horizontal direction from the direct collision course resulted in a reduced response. The response rate of the cryptic reaction increased as the approaching velocity of the object increased, and the rate decreased as the object ceased its approach at a greater distance from the Mantis. These results suggest that the function of the observed cryptic reactions is defence against impending collisions. The possible role of the looming-sensitive neuron in the cryptic reaction is also discussed.

  • Investigating saccade programming in the praying Mantis Tenodera aridifolia using distracter interference paradigms.
    Journal of insect physiology, 2006
    Co-Authors: Yoshifumi Yamawaki
    Abstract:

    To investigate the saccadic system in the Mantis, I applied distracter interference paradigms. These involved presenting the Mantis with a fixation target and one or several distracters supposed to affect saccades towards the target. When a single target was presented, a medium-sized target located in its lower visual field elicited higher rates of saccade response. This preference for target size and position was also observed when a target and a distracter were presented simultaneously. That is, the Mantis chose and fixated the target rather than a distracter that was much smaller or larger than the target, or was located above the target. Furthermore, the Mantis' preference was not affected by increasing the number of distracters. However, the presence of the distracter decreased the occurrence rate of saccade and increased the response time to saccade. I conclude that distracter interference paradigms are an effective way of investigating the visual processing underlying saccade generation in the Mantis. Possible mechanisms of saccade generation in the Mantis are discussed.

Yunheung Paek - One of the best experts on this subject based on the ideXlab platform.

  • Mantis efficient predictions of execution time energy usage memory usage and network usage on smart mobile devices
    IEEE Transactions on Mobile Computing, 2015
    Co-Authors: Yongin Kwon, Byung-gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik, Donghyun Kwon, Seungjun Yang, Yunheung Paek
    Abstract:

    We present Mantis, a framework for predicting the computational resource consumption (CRC) of Android applications on given inputs accurately, and efficiently. A key insight underlying Mantis is that program codes often contain features that correlate with performance and these features can be automatically computed efficiently. Mantis synergistically combines techniques from program analysis and machine learning. It constructs concise CRC models by choosing from many program execution features only a handful that are most correlated with the program’s CRC metric yet can be evaluated efficiently from the program’s input. We apply program slicing to reduce evaluation time of a feature and automatically generate executable code snippets for efficiently evaluating features. Our evaluation shows that Mantis predicts four CRC metrics of seven Android apps with estimation error in the range of 0-11.1 percent by executing predictor code spending at most 1.3 percent of their execution time on Galaxy Nexus.

  • USENIX Annual Technical Conference - Mantis: automatic performance prediction for smartphone applications
    2013
    Co-Authors: Yongin Kwon, Byung-gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik, Donghyun Kwon, Seungjun Yang, Yunheung Paek
    Abstract:

    We present Mantis, a framework for predicting the performance of Android applications on given inputs automatically, accurately, and efficiently. A key insight underlying Mantis is that program execution runs often contain features that correlate with performance and are automatically computable efficiently. Mantis synergistically combines techniques from program analysis and machine learning. It constructs concise performance models by choosing from many program execution features only a handful that are most correlated with the program's execution time yet can be evaluated efficiently from the program's input. We apply program slicing to accurately estimate the evaluation cost of a feature and automatically generate executable code snippets for efficiently evaluating features. Our evaluation shows that Mantis predicts the execution time of six Android apps with estimation error in the range of 2.2-11.9% by executing predictor code costing at most 1.3% of their execution time on Galaxy Nexus.

  • Mantis automatic performance prediction for smartphone applications
    USENIX Annual Technical Conference, 2013
    Co-Authors: Yongin Kwon, Byung-gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik, Donghyun Kwon, Seungjun Yang, Yunheung Paek
    Abstract:

    We present Mantis, a framework for predicting the performance of Android applications on given inputs automatically, accurately, and efficiently. A key insight underlying Mantis is that program execution runs often contain features that correlate with performance and are automatically computable efficiently. Mantis synergistically combines techniques from program analysis and machine learning. It constructs concise performance models by choosing from many program execution features only a handful that are most correlated with the program's execution time yet can be evaluated efficiently from the program's input. We apply program slicing to accurately estimate the evaluation cost of a feature and automatically generate executable code snippets for efficiently evaluating features. Our evaluation shows that Mantis predicts the execution time of six Android apps with estimation error in the range of 2.2-11.9% by executing predictor code costing at most 1.3% of their execution time on Galaxy Nexus.

Heinz G. Tunner - One of the best experts on this subject based on the ideXlab platform.