Habitat‐Suitability Bounds for Nesting Cover of Northern Bobwhites on Semiarid Rangelands

Arredondo, Juan A.; Hernández, Fidel; Bryant, Fred C.; Bingham, Ralph L.; Howard, R. Stephen

doi:10.2193/2006-017

Cited by 22 publications

(13 citation statements)

References 16 publications

(25 reference statements)

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“…, Arredondo et al. ). Using logistic, Gompertz, confined exponential, and Weibull parametric functions, we modeled cumulative frequency distributions for each variable.…”

Section: Methodsmentioning

confidence: 99%

“…We developed continuous selection functions for black globe temperature and ground surface temperature to identify the bounds of selection to address our first objective , Arredondo et al 2007). Using logistic, Gompertz, confined exponential, and Weibull parametric functions, we modeled cumulative frequency distributions for each variable.…”

Section: Statistical Analysesmentioning

confidence: 99%

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Ground surface vs. black globe temperature in northern bobwhite resource selection

et al. 2018

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Understanding thermal ecology of endotherms is becoming increasingly important with predicted increases in temperature associated with climate change. Patterns of resource selection may depend in part on temperature thresholds outside which animals avoid warmer or cooler temperatures. During summer, northern bobwhites (Colinus virginianus; hereafter bobwhite) in semiarid areas often exist at the limits of their thermal tolerance. We sought to determine (1) selection bounds for black globe and ground surface temperatures, (2) whether ground surface temperature is a better predictor of the thermal environment used by bobwhites than black globe temperature, and (3) how time of the day influences thermal resource use. We radio‐marked 40 bobwhites and located them two to three times a week from April to September in 2014–2016. At each location, we measured ground surface and black globe temperatures at the bird location and at a location 20 m away in a random direction. We calculated continuous selection functions to estimate bounds of thermal characteristics suitable for bobwhites. We used generalized linear models to determine times of day bobwhites select cooler microclimates. Finally, we used case‐controlled logistic regression models to generate thermal resource selection functions. We compared models that included ground surface temperature, black globe temperature, and an index created from both variables with principal component analysis and selected the best model based on Akaike's information criterion adjusted for sample size (AICc) and log‐evidence ratios. Upper and lower selection bounds for black globe temperature and ground surface temperature were 24.5–42.5°C and 23.0–39.5°C, respectively. A principal component of black globe combined with ground surface temperature was a better predictor of bobwhite resource selection than either black globe temperature or ground surface temperature alone. In early afternoon (13:01–17:30 hours) during August, bobwhite locations had 13°C cooler black globe temperatures and 18°C cooler ground surface temperatures than random locations. Availability of thermally usable coverts (woody plant thickets) may be a limiting factor for bobwhites in the study area based on the findings that mean ground surface and black globe temperatures at used locations were close to the upper bounds for use in late summer during the middle of the day.

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“…, Arredondo et al. ). Using logistic, Gompertz, confined exponential, and Weibull parametric functions, we modeled cumulative frequency distributions for each variable.…”

Section: Methodsmentioning

confidence: 99%

Section: Statistical Analysesmentioning

confidence: 99%

Ground surface vs. black globe temperature in northern bobwhite resource selection

et al. 2018

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“…The peer‐reviewed literature contains many examples of papers using the conventional protocol (Arrendondo, Hernandez, Bryant, Bingham, & Howard, ; Dion et al., ; Lusk et al., ; Martin & Guepel, ; and Pleasant et al., ) and is largely depauperate of the alternative protocol (notable exceptions include Sveum, Edge, & Crawford, ; Watters et al. ).…”

Section: Introductionmentioning

confidence: 99%

Timing of nest vegetation measurement may obscure adaptive significance of nest‐site characteristics: A simulation study

McConnell

Monroe

Burger

et al. 2017

Ecology and Evolution

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Advances in understanding avian nesting ecology are hindered by a prevalent lack of agreement between nest‐site characteristics and fitness metrics such as nest success. We posit this is a result of inconsistent and improper timing of nest‐site vegetation measurements. Therefore, we evaluated how the timing of nest vegetation measurement influences the estimated effects of vegetation structure on nest survival. We simulated phenological changes in nest‐site vegetation growth over a typical nesting season and modeled how the timing of measuring that vegetation, relative to nest fate, creates bias in conclusions regarding its influence on nest survival. We modeled the bias associated with four methods of measuring nest‐site vegetation: Method 1—measuring at nest initiation, Method 2—measuring at nest termination regardless of fate, Method 3—measuring at nest termination for successful nests and at estimated completion for unsuccessful nests, and Method 4—measuring at nest termination regardless of fate while also accounting for initiation date. We quantified and compared bias for each method for varying simulated effects, ranked models for each method using AIC, and calculated the proportion of simulations in which each model (measurement method) was selected as the best model. Our results indicate that the risk of drawing an erroneous or spurious conclusion was present in all methods but greater with Method 2 which is the most common method reported in the literature. Methods 1 and 3 were similarly less biased. Method 4 provided no additional value as bias was similar to Method 2 for all scenarios. While Method 1 is seldom practical to collect in the field, Method 3 is logistically practical and minimizes inherent bias. Implementation of Method 3 will facilitate estimating the effect of nest‐site vegetation on survival, in the least biased way, and allow reliable conclusions to be drawn.

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“…To address our first hypothesis, we developed continuous selection functions for ground surface temperature and black globe temperature , Arredondo et al 2007, DeMaso et al 2011. We modeled the cumulative frequency distribution for each variable using logistic, Gompertz, confined exponential, and Weibull parametric functions.…”

Section: Statistical Analysesmentioning

confidence: 99%

Temperature influences resource use by chestnut‐bellied scaled quail

et al. 2019

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Animals use physiological and behavioral adaptations to maintain constant body temperatures when environmental temperatures are outside of their thermoneutral zone. We define the temperature suitability bounds as the range of temperatures above and below which animals avoid locations because of unfavorable thermal conditions. Temperatures outside the temperature suitability bounds may trigger behavioral responses such as movement to cooler locations. We tested the hypothesis that temperature during late April to August influences resource selection using chestnut‐bellied scaled quail (Callipepla squamata castanogastris) as our study species. We estimated temperature suitability bounds for scaled quail and tested the prediction that ground surface temperature is a better predictor of habitat space use than black globe temperature. We compared models containing ground surface temperature and woody vegetation structure variables to test the hypothesis that including woody vegetation variables improves prediction of relative probability of use. We trapped scaled quail at five different locations in southern Texas. We located quail fitted with necklace‐style transmitters three times/week during 2013–2014. We measured ground surface and black globe temperatures at locations used by scaled quail and at random locations. We estimated percent canopy cover of cacti, subshrubs, and woody plants using 20 × 50 cm Daubenmire frames at each used and random location. We also estimated height and vertical obstruction of woody vegetation. Temperature suitability bounds of scaled were 24–43°C for the ground surface and 23–39°C for black globes. Ground surface temperature was a better predictor of relative probability of use than black globe temperature. Ground surface temperature during the warmest time of day (early afternoon, 13:30–17:29) decreased with increasing vertical obstruction after accounting for the influence of other structural variables. The best model for predicting relative probability of use by scaled quail during the warmest time of day included ground surface temperature and vertical obstruction. Use of microsites where vegetation structure is conducive to cooler temperatures is an important driver of resource selection by scaled quail during the warmest time of day in southern Texas, but availability of thermal refugia appears to be limited.

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Habitat‐Suitability Bounds for Nesting Cover of Northern Bobwhites on Semiarid Rangelands

Cited by 22 publications

References 16 publications

Ground surface vs. black globe temperature in northern bobwhite resource selection

Ground surface vs. black globe temperature in northern bobwhite resource selection

Timing of nest vegetation measurement may obscure adaptive significance of nest‐site characteristics: A simulation study

Temperature influences resource use by chestnut‐bellied scaled quail

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