Estimating 24-h Habitat Use Patterns of White-Tailed Deer from Diurnal Use

Kernohan, Brian J.; Jenks, Jonathan A.; Naugle, David E.; Millspaugh, Joshua J.

doi:10.1006/jema.1996.0079

Cited by 12 publications

(9 citation statements)

References 6 publications

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“…Assuming a given scale is ecologically relevant in all situations may overestimate preference for an individual resource, overestimate the difference in preference between grains (e.g., between seasons), or detect non‐existent patterns (Kernohan et al. , Rettie and Messier , Biggs et al. ).…”

Section: Discussionmentioning

confidence: 99%

“…We also show that the ecological relevancy of a given scale (e.g., a diel temporal scale) can change throughout a given extent (e.g., an annual temporal extent). Assuming a given scale is ecologically relevant in all situations may overestimate preference for an individual resource, overestimate the difference in preference between grains (e.g., between seasons), or detect non-existent patterns (Kernohan et al 1996, Rettie and Messier 2000, Biggs et al 2010. Because organisms shift selection patterns to exploit changing resource availability (e.g., elk seeking increased forage availability at high elevations as spring turns to summer; Hebblewhite et al 2008) and to fulfill their shifting resource requirements (e.g., elk selecting birthing sites in the spring; Pitman et al 2014), greater consistency in resource availability or an increase in fine-scale resource needs at a particular scale may dampen or intensify the relevance of any given scale.…”

Section: Discussionmentioning

confidence: 99%

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Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk

2017

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Abstract. Although organisms make resource selection decisions at multiple spatiotemporal scales, not all scales are ecologically relevant to any given organism. Ecological patterns and rhythms such as behavioral and climatic patterns may provide a consistent method for identifying ecologically relevant scales of habitat selection. Using elk (Cervus canadensis) as an example species, we sought to test the ability of behavioral patterns to empirically partition diel scales for modeling habitat selection. We used model selection to partition diel scales by shifts in dominant behavior and then used resource selection probability functions to model elk habitat selection hierarchically at diel scales within seasons. Model selection distinguished four diel temporal partitions following elk crepuscular behavioral patterns: dawn, midday, dusk, and night. Across seasons, model-averaged coefficients indicated that elk shifted from selecting grassland cover at dawn/dusk, to selecting for greater canopy and forest cover at midday, and then to areas with greater herbaceous biomass at night. Top models changed between diel intervals in spring and fall but stayed the same across diel intervals in winter and summer. In winter, elk selected for southern aspects during midday, for unburned areas at dawn/dusk, and for areas burned within 1-3 yr at dawn/dusk and night. In spring, elk selected for northern aspects and for areas burned within 1-3 yr at midday, for areas farther from roads at dawn/dusk and midday, and for areas farther from water at midday. In summer, elk changed diel preferences for fewer covariates: At dawn/dusk and midday, elk selected for areas farther from water and avoided forest cover, and at night, elk selected for areas burned within 1-3 yr. In fall, elk selected for areas burned the previous year at dawn/dusk and night, for higher elevations at midday, and for areas closer water at night. Using behavioral patterns to identify ecologically relevant scales can help identify overlooked habitat requirements such as diel changes in preference for fire history, forage availability, and cover. We show that the ecological relevancy of a given scale (e.g., a diel temporal scale) can change throughout a given extent (e.g., across seasons).

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk

2017

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“…Because most deer are active at night as well, home ranges based on daytime locations alone might cause a misleading description of homerange size and habitat use (Beyer and Haufler 1994, Thirgood 1995, Kernohan et al 1996). To test for differences between the day and night homerange size and location, we located 21 deer (5M, 16F) during the day and night, from September 1999 until April 2000.…”

Section: The Rut Of the Persian Fallow Deer Begins Inmentioning

confidence: 99%

Seasonal and Circadian Changes in the Home Ranges of Reintroduced Persian Fallow Deer

Perelberg¹,

Saltz²,

Bar‐David³

et al. 2003

The Journal of Wildlife Management

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“…Logistical challenges, convenience, and method (e.g., aerial telemetry) of data collection have been at least partially responsible for the limited focus on nocturnal movements. It has been demonstrated by Hayes and Krausman (1993), but assumed by Kernohan and Jenks (1996), that diurnal sampling of locations sufficiently represents nocturnal space use by deer. Temporal variation in use of space and winter habitat by deer may occur relative to nocturnal thermal benefits of conifer cover, but this consideration has not been recently addressed (Ozoga 1968, Rongstad and Tester 1969, Verme and Ozoga 1971, Moen 1976.…”

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confidence: 99%

Comparing Global Positioning System and Very High Frequency Telemetry Home Ranges of White‐Tailed Deer

2009

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Use of Global Positioning System (GPS) collars on free‐ranging ungulates overcomes many limitations of conventional very high frequency (VHF) telemetry and offers a practical means of studying space use and home range estimation. To better understand winter home ranges of white‐tailed deer (Odocoileus virginianus), we evaluated GPS collar performance, and we compared GPS‐ and VHF‐derived diurnal home ranges (for the same animals) and GPS‐derived home range estimates for diurnal and nocturnal locations. Overall, the mean fix success rate of our GPS collars was 85% (range = 14–99%). Kernel density estimates of home range (using the 95% probability contour) derived from GPS and VHF locations were generally similar, as were GPS‐derived diurnal and nocturnal home ranges. Overlap indices between GPS and VHF utilization distributions (UDs) ranged from 0.49 to 0.78 for the volume of intersection (VI) index and from 0.67 to 0.94 for Bhattacharyya's affinity (BA); overlap indices for GPS‐diurnal and nocturnal UDs ranged from 0.29 to 0.81 for VI and from 0.56 to 0.94 for BA. Despite similarities of home ranges estimated from GPS versus VHF locations and GPS‐diurnal versus nocturnal locations, our data also indicate that differences may have important implications for studies focused on deer use of space, habitat, and resources at a finer scale.

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Estimating 24-h Habitat Use Patterns of White-Tailed Deer from Diurnal Use

Cited by 12 publications

References 6 publications

Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk

Identifying ecologically relevant scales of habitat selection: diel habitat selection in elk

Seasonal and Circadian Changes in the Home Ranges of Reintroduced Persian Fallow Deer

Comparing Global Positioning System and Very High Frequency Telemetry Home Ranges of White‐Tailed Deer

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