Sprague's Pipit Incubation Behavior

Davis, Stephen K.; Holmes, Teslin G.

doi:10.1525/california/9780520273139.003.0006

Cited by 9 publications

(7 citation statements)

References 19 publications

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“…We searched pastures with equal effort by dropping surveyor flags at regular intervals during each pass and collecting these on the return, ensuring pastures were covered evenly and without overlap (Winter et al, 2003). Nest searching typically occurred from sunrise through mid-day, and we varied the order in which we searched pastures within a day to reduce potential temporal biases in nest attendance by females (Davis and Holmes, 2012;Winter et al, 2003). We recorded nest locations with a Global Positioning System (GPS) device and applied spray paint to vegetation 5 m north of nests (Winter et al, 2003).…”

Section: Nest Searching and Monitoringmentioning

confidence: 99%

Converting exotic forages to native warm-season grass can increase avian productivity in beef production systems

Monroe

Chandler

Burger

et al. 2016

Agriculture, Ecosystems & Environment

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Grasslands are among the most imperiled ecosystems in the world, and establishment of exotic forage grasses and management for uniform utilization may have contributed to population declines of many obligate grassland bird species in North America. Native warm-season grasses (NWSG) are increasingly promoted as viable alternatives to exotic forages currently in production such as bermudagrass (Cynodon dactylon) and tall fescue (Schedonorus arundinacea), but structure of native bunchgrasses also may offer nesting habitat for birds such as the dickcissel (Spiza americana). Establishing NWSG pastures may thereby create an opportunity for land-sharing, where agriculture incorporates biodiversity-friendly practices. We investigated dickcissel responses to NWSG and grazing at the Prairie Research Unit in Monroe Co., Mississippi (USA), where we established a gradient of management intensity among four treatments in small, operational-scale pastures (6.4−10.5 ha). Treatments included grazed exotic forages, two grazed NWSG treatments including Indian grass (Sorghastrum nutans) monoculture and grazed mixed NWSG polyculture of Indian grass, little bluestem (Schizachyrium scoparium), and big bluestem (Andropogon gerardii), and a non-grazed NWSG polyculture treatment. We applied a multi-state capture-recapture model in a Bayesian framework to estimate dickcissel nest density and productivity while accounting for nest stage-specific variation in survival and detection. Nest density and productivity were consistently greater in non-grazed NWSG than grazed exotic pasture, whereas grazed NWSG productivity was intermediate but declined between years. We also found that variation in survival and density did not always correspond with estimated productivity, and thus solely relying on either parameter may be misleading when making inferences on habitat quality. These results suggest a positive response to NWSG among dickcissels in this system, but grazing may reduce nest site availability, and 3 consequently productivity. Native warm-season forages may be a viable land-sharing alternative by increasing productivity of tall structure specialists such as dickcissels compared with exotic grass pastures currently in production, but grazing should be managed to ensure availability of tall vegetation structure for nest sites.

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Section: Nest Searching and Monitoringmentioning

confidence: 99%

Converting exotic forages to native warm-season grass can increase avian productivity in beef production systems

Monroe

Chandler

Burger

et al. 2016

Agriculture, Ecosystems & Environment

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“…Early studies of provisioning were limited by how long a researcher could observe with binoculars (Simmons 1986, Conrad andRobertson 1992) or the use of proxy data such as the number of times an LED light beam at a nest box entrance was broken (Nur 1984). Although many studies now use in-nest video cameras (Cox et al 2012), researchers are still often forced to limit the duration of their study due to the time-consuming nature of watching and categorizing these videos (Davis and Holmes 2012). The use of deep learning technology to automate analysis of nest camera videos and provide estimates of the number of provisioning events has recently been tested (Williams et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Using artificial intelligence classification of videos to examine the environmental, evolutionary and physiological constraints on provisioning behavior

Williams¹,

DeLeon

2020

Journal of Avian Biology

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The use of artificial intelligence (AI) technologies can revolutionize how we approach data collection and analysis in behavioral ecology. One such example is in provisioning behavior. Parents of altricial species are selected to provide parental care (such as food provisioning) for their offspring, but there is substantial variation in the level of this care. Provisioning rate may be determined environmentally, by the physiological ability of parents and needs of nestlings, or by evolutionary incentives. We quantified provisioning rate in 20 purple martin Progne subis nests in the context of an experimental reduction of nest ectoparasites. 10 nests had a parasite reduction treatment, and 10 nests were controls. By using AI to automate the analysis of nest camera videos we were able to obtain nearly‐continuous provisioning rate information at a high temporal resolution for the first half of the nestling period. We used random forest modeling to assess the factors determining provisioning rate and found evidence for environmental, evolutionary and physiological constraints and incentives on provisioning. Birds appeared to be environmentally limited in their provisioning in cool, wet conditions, especially later in the breeding season; but adjusted their provisioning according to the changing physiological needs of nestlings. We found evidence for a compensatory response to increased parasite load, in which parents increased provisioning to more heavily parasitized nests.

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“…Thus, the same behaviours birds use to avoid predation could also decrease the likelihood of locating nests with structured searches. Birds may also display temporal variation in nest attendance (Davis & Holmes 2012) that could influence the ability of observers to locate nests with flush behaviours. However, the time of day we located nests was similar among search methods, indicating factors other than temporal variation in nest attendance caused our observed differences in DSR.…”

Section: Discussionmentioning

confidence: 99%

Assessment of variation of nest survival for grassland birds due to method of nest discovery

et al. 2015

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Capsule Interpretation of nest survival estimates may be improved by incorporating the search method used to locate nests as a covariate. Aims To compare annual survival estimates for Dickcissel Spiza americana nests and determine if incorporating search method (structured, opportunistic, or behavioural searches) improved model fit.Methods Dickcissel nests were located using structured, opportunistic, or behavioural searches over three years (2011)(2012)(2013) in Mississippi, USA. Models were used to estimate daily survival rates (DSRs) and to analyse factors influencing nest survival. Results DSRs for Dickcissels were best explained by quadratic date, nest age, age found, and year, but incorporating search method improved model fit. Daily survival was 1.51 times greater for nests located using opportunistic search methods relative to structured searches, but was not significantly different between structured and behavioural searches. Conclusions Survival estimates varied by search method, specifically between structured searches and opportunistically located nests. This might have arisen because heterogeneity in nest placement or parental behaviour may influence the sample of nests located with a given search method. Researchers may be able to account for this potential source of bias by including search method as a model covariate when using standard survey designs or modelling approaches.

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Sprague's Pipit Incubation Behavior

Cited by 9 publications

References 19 publications

Converting exotic forages to native warm-season grass can increase avian productivity in beef production systems

Converting exotic forages to native warm-season grass can increase avian productivity in beef production systems

Using artificial intelligence classification of videos to examine the environmental, evolutionary and physiological constraints on provisioning behavior

Assessment of variation of nest survival for grassland birds due to method of nest discovery

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