Displaying to females may lower male foraging time and vigilance in a lekking bird

Cowles, Sarah A.; Gibson, Robert B.

doi:10.1642/auk-14-67.1

Cited by 19 publications

(23 citation statements)

References 53 publications

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“…Eavesdropping antagonists are known to influence the evolution of signals and signaling behavior and senders as well as receivers may be forced to modify their signals, signaling behavior, and mate choice to reduce the unfavorable effects of eavesdropping (Bradbury & Vehrencamp, ; Hughes, Kelley, & Banks, ; Zuk & Kolluru, ). Long‐distance acoustic signals are particularly prone to exploitation by eavesdropping predators and parasites, and many studies have investigated their effects on prey signal design and signaling behavior most notably in birds, frogs, katydids, and crickets (Beckers & Wagner, ; Belwood & Morris, ; Cowles & Gibson, ; Lehmann & Heller, ; Tuttle & Ryan, ).…”

Section: Introductionmentioning

confidence: 99%

The sound of a blood meal: Acoustic ecology of frog‐biting midges (Corethrella) in lowland Pacific Costa Rica

et al. 2019

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Animal communication systems are often exploited by eavesdropping antagonists, especially predators and ectoparasites. Female frog‐biting midges (Diptera: Corethrellidae) are known to use male anuran advertisement calls to locate their blood hosts, frogs. Here, we use acoustic midge traps broadcasting synthetic and recorded calls to identify those frog call parameters that affect midge attraction. At our study site in Pacific lowland Costa Rica, we found that overall midge attraction was influenced by both spectral and temporal acoustic parameters. Low dominant frequencies (below 1 kHz) and short pulse durations (between 125 and 500 ms) attracted the highest numbers of midges in tests with synthetic sinusoidal pure tones. These preferences partially explained the relative attractiveness of the advertisement calls of ten local frog species. The advertisement calls of the common and widespread Giant Bullfrog, Leptodactylus savagei (Anura: Leptodactylidae), attracted by far the largest number of midges, suggesting that this frog species might be a key resource for frog‐biting midges in Costa Rica. Although we found that calls of different frog species attracted different midge species/morphospecies in statistically different proportions, acoustic niche differentiation among midge species appeared to be moderate, suggesting either a limited degree of host specialization or the use of additional short‐range, that is, chemical, host recognition cues.

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Section: Introductionmentioning

confidence: 99%

The sound of a blood meal: Acoustic ecology of frog‐biting midges (Corethrella) in lowland Pacific Costa Rica

et al. 2019

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“…Our framework focuses on clustering populations where monitoring of a species occurs (e.g., sites, routes, leks, and breeding grounds), and whether information about connectivity and exchange of individuals, habitat needs, and movements exists. Therefore, many lekking species (e.g., fish, Nelson ; mammals, Deutsch , Bro‐Jorgensen ; birds, Cowles and Gibson ) are obvious candidates. Additionally, our methods could be used to develop monitoring frameworks for migratory species with non‐overlapping seasonal ranges or for species with distinct breeding and fawning/calving grounds (Nicholson et al.…”

Section: Discussionmentioning

confidence: 99%

Designing multi‐scale hierarchical monitoring frameworks for wildlife to support management: a sage‐grouse case study

et al. 2019

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Population monitoring is integral to the conservation and management of wildlife; yet, analyses of population demographic data rarely consider processes occurring across spatial scales, potentially limiting the effectiveness of adaptive management. Therefore, we developed a method to identify hierarchical levels of organization (i.e., populations) to define multiple spatial scales, specifically intended to help guide appropriate conservation and management actions. This approach can support mobile species with high site fidelity where surveys occur on birthing/breeding grounds or migratory stopovers. Our approach used a graph‐based clustering algorithm (Spatial K'luster Analysis by Tree Edge Removal) that explicitly included habitat selection information at multiple scales and further refined with constraint‐based rules. We applied these concepts to greater sage‐grouse leks (breeding grounds), a species of conservation concern, in two different ecological contexts (Nevada and Wyoming, USA). The constraint‐based rules accounted for inter‐lek movement distances based on literature and field studies in Nevada from 2012 to 2016, included methods to support a spatially balanced monitoring design, and identified barriers to movements among leks based on resistance surfaces. We evaluated the performance of our hierarchical clusters in Nevada using independent data from radio‐marked sage‐grouse, and we found the finest‐scaled cluster level captured ~90% of sage‐grouse movements and mid‐level scales captured ~97–99% of movements. We expected comparable performance for Wyoming, where we lacked radio‐marked sage‐grouse for an evaluation, because genetic studies estimate similar dispersal distances to our ~15 km inter‐lek movement distance in Nevada. For sage‐grouse and other mobile species with high site fidelity, our approach to defining these frameworks could prove valuable for conservation and management applications, such as improving estimation of scale‐dependent population trends and guiding the prescription of management actions at spatial scales that align with identified threats. Specific to sage‐grouse, our analysis sets the stage for designing a monitoring framework that relies on comparison of short‐ and long‐term population trends across our defined spatial scales and identifies and disentangles factors driving local (e.g., habitat quality) and regional (e.g., climate) population changes, thereby supporting scale‐dependent management and research needs for adaptive management practices.

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“…We used the maximum number of males present during the sampling period to account for potential effects of male lek attendance on male lekking behavior and on female lek attendance, and the maximum number of females present during the sampling period to account for potential effects of female lek attendance on male lekking behavior in our analyses (Gibson 1996;Cowles & Gibson 2015). We used the maximum number of males present during the sampling period to account for potential effects of male lek attendance on male lekking behavior and on female lek attendance, and the maximum number of females present during the sampling period to account for potential effects of female lek attendance on male lekking behavior in our analyses (Gibson 1996;Cowles & Gibson 2015).…”

Section: Lek Attendancementioning

confidence: 99%

“…To account for repeated measures at each lek within an observation day, we included a lek-specific day term as a random effect (e.g., lek1-day1 or lek2-day1). We also considered date, expressed as ordinal day, as a covariate to control for seasonal variation in lekking activity (Robel 1964(Robel , 1967, time (minutes after sunrise) that the sampling period started (hereafter 'time of sample') to account for daily activity patterns (Cowles & Gibson 2015), and wind speed (calculated as the average wind speed at the beginning and end of the sampling period) to control for effects of wind on lekking activity (Drummer et al 2011). We considered three different functions of female and male lek attendance (linear, cubic, and quadratic) using mean centered data and selected the best-fitting model using a chi-square test (p < 0.05).…”

Section: Male Lekking Behaviormentioning

confidence: 99%

Indirect Effects of an Existing Wind Energy Facility on Lekking Behavior of Greater Prairie‐Chickens

et al. 2016

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Rapid expansion of the wind energy industry has raised concerns about the potential effects of anthropogenic disturbance on prairie grouse. While efforts have been made to address the effects of wind energy facilities on measures of fitness, their effect on the behaviors of prairie grouse has been largely neglected. To address these concerns, we investigated the effects of an existing wind energy facility in Nebraska that became operational in 2005 on the lekking behavior of male greater prairie‐chickens Tympanuchus cupido pinnatus between March and May 2013. Given the potential for disturbance caused by wind turbine noise to disrupt acoustic communication and thus behavior, we predicted that males at leks close to, compared to far from, the wind energy facility would spend more time in agonistic behaviors, and less in booming displays. Given the potential for wind turbine noise to reduce the number of females attending leks (hereafter ‘female lek attendance’), we also predicted that males at leks close to the wind energy facility would spend more time in non‐breeding behaviors and less time in breeding behaviors than males farther from the facility. Although we found no effect of the wind energy facility on female lek attendance, males at leks closer to the wind energy facility spent less time in non‐breeding behaviors than those at leks farther away. However, distance from the wind energy facility had no effect on time spent performing booming displays, flutter jumps, or in agonistic behaviors. Given that lekking behaviors of males influence mating success, our results may have consequences for the fitness of prairie grouse breeding in the vicinity of wind energy facilities.

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Displaying to females may lower male foraging time and vigilance in a lekking bird

Cited by 19 publications

References 53 publications

The sound of a blood meal: Acoustic ecology of frog‐biting midges (Corethrella) in lowland Pacific Costa Rica

The sound of a blood meal: Acoustic ecology of frog‐biting midges (Corethrella) in lowland Pacific Costa Rica

Designing multi‐scale hierarchical monitoring frameworks for wildlife to support management: a sage‐grouse case study

Indirect Effects of an Existing Wind Energy Facility on Lekking Behavior of Greater Prairie‐Chickens

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