Prescribed fire effects on resource selection by cattle in mesic sagebrush steppe. Part 1: Spring grazing

Clark, Patrick E.; Lee, Jaechoul; Ko, Kyungduk; Nielson, Ryan M.; Johnson, Douglas E.; Ganskopp, David C.; Chigbrow, Joe; Pierson, Frederick B.; Hardegree, Stuart P.

doi:10.1016/j.jaridenv.2013.10.012

Cited by 25 publications

(31 citation statements)

References 51 publications

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“…The relatively flat terrain and the relatively smaller pasture size at the GPS-tracked cows at the CRLRC did not show strong associations (i.e., HWI < 0.43 at 500 m) even though there was only one water source and cattle were constrained to a pasture much smaller than the Todd Ranch. The HWI values for dyads at the CRLRC were well within the 75 m criteria used by Clark et al [18] to determine independence of cattle grazing within the same pasture. Low association levels among GPS-tracked cattle at the CRLRC may have been the result of the changing composition of grazing sub-groups of cattle over time.…”

Section: Association Of Gps-tracked Cattlesupporting

confidence: 69%

“…As indicated by previous research [6,12,18], the software program ASSOC1 provides a valuable resource in determining association patterns and independence of GPS-tracked cattle based on the proportion of positions that animals are within a specified distance from one another. Greater resources, reduced costs, and increased opportunities to track livestock with GPS collars will continue to improve our understanding of livestock distribution and grazing behavior.…”

Section: Discussionmentioning

confidence: 99%

“…ASSOC1 has been used to assess spatio-temporal independence of GPS-or radio-telemetry tracked elk (Cervus elaphus [6,[21][22][23]), mule deer (Odocoileus hemionus [22,24]), and cattle (Bos spp. [12,18]). …”

Section: Analysis Of Association Patternsmentioning

confidence: 99%

“…In one study, dyadic association levels of cows were considered independent if more than 75% of the GPS locations between cows were greater than 75 m apart (equivalent to a 1.8 ha area) [18]. At a larger spatial scale, mule deer were considered independent if greater than 50% of the GPS locations were greater than 500 m apart (equivalent to 78.5 ha) [24].…”

Section: Analysis Of Association Patternsmentioning

confidence: 99%

“…In situations where one or a few individuals were associated within the same area, Frair et al (2007) indicated that removing one or more of the associated individuals could reduce the risk of pseudo-replication. Due to several factors, many cattle at the Evans, CDRRC, Thackeray, and Carter Ranch study sites exhibited associations with at least one or more other cows that exceeded the criteria for independence, and thus the use of individual cows as the experimental unit would have not been appropriate for some research questions such as resource selection analyses [18]. Seventy-five percent or more of the dyadic associations at these study sites usually met the criteria for independence and, depending on the question of interest, individual cow or groups of cows could potentially be considered sufficiently independent to be used as the experimental unit.…”

Section: Association Of Gps-tracked Cattlementioning

confidence: 99%

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Do Movement Patterns of GPS-Tracked Cattle on Extensive Rangelands Suggest Independence among Individuals?

Stephenson

Bailey

2017

Agriculture

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Abstract:In behavioral studies, cattle within the same pasture are not considered as independent experimental units because of the potential confounding effects of the herd's social interactions. However, evaluating cattle behavior on extensive rangelands is logistically challenging for researchers, and treating individual animals as independent experimental units may be beneficial for answering specific research questions. The objective of this study was to evaluate the association patterns among global positioning system (GPS)-tracked cattle at six different study sites in the western United States. A Half-Weight Index (HWI) association value was calculated for each pair of GPS-tracked cows (i.e., dyad) to determine the proportion of time that cattle were within 75 m and 500 m of each other. Cattle at two study sites exhibited relatively low mean HWI-association values (i.e., less than 0.23 HWI); whereas, cattle at other study sites tended to have greater mean HWI associations (i.e., greater than 0.35 HWI). Distinguishing features between study sites with low and high association values were the management of cattle prior to the study, herd size, pasture size, and the number of watering points. However, at all ranches except one, at least 75% of all dyadic associations had HWI values of less than 0.5 at 500 m, indicating that most of the GPS-tracked cows were greater than 500 m from each other for over 50% of tracking period. While interactions among cattle in the same pasture are often inevitable, our data suggests that under some situations, movement patterns of a sub-set of individual GPS-tracked cows may have levels of independence that are sufficient for analysis as individual experimental units. Understanding the level of independence among GPS-tracked cattle may provide options for analysis of grazing behavior for individual cattle within the same pasture.

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Section: Association Of Gps-tracked Cattlesupporting

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Section: Analysis Of Association Patternsmentioning

confidence: 99%

Section: Analysis Of Association Patternsmentioning

confidence: 99%

Section: Association Of Gps-tracked Cattlementioning

confidence: 99%

See 3 more Smart Citations

Do Movement Patterns of GPS-Tracked Cattle on Extensive Rangelands Suggest Independence among Individuals?

Stephenson

Bailey

2017

Agriculture

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Bayesian networks elucidate interactions between fire and other drivers of terrestrial fauna distributions

et al. 2017

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Abstract. Fire is a major driver of community composition and habitat structure and is extensively used as an ecological management tool in flammable landscapes. Interactions between fire and other processes that affect animal distributions, however, cause variation in faunal responses to fire and limit our ability to identify appropriate fire management regimes for biodiversity conservation. Bayesian networks (BNs) have not previously been used to examine terrestrial faunal distributions in relation to fire, but offer an alternative statistical framework for modeling complex environmental relationships as they explicitly capture interactions between predictor variables. We developed a conceptual model of the interactions between drivers of faunal distributions in fire-affected landscapes, and then used a non-parametric BN modeling approach to describe and quantify these relationships for a suite of terrestrial native mammal species. We also tested whether BNs could be used to predict these species' distributions using only remote-sensed or mapped variables. Data were collected at 113 sites across 47,000 ha of continuous eucalypt forest in the Otway Ranges, southeastern Australia; time-since-fire (TSF) ranged from six months to 74 yr. Habitat complexity increased with TSF and forest wetness. Critical-weight-range (35-5500 g) marsupials and rodents were generally more likely to occur at long unburnt sites with high habitat complexity, and in wetter forest types. In contrast, large grazers and browsers preferred less complex habitats and younger or drier forest. Species occurrences were more strongly affected by habitat complexity than TSF, coarse woody debris cover, or invasive predator (Vulpes vulpes or Felis catus) occurrence. Bayesian network models effectively discriminated between the presence and absence of most native mammal species, even when only provided with data on remote-sensed or mapped variables (i.e., without field-assessed data such as habitat complexity). Non-parametric BNs are an effective technique for explicitly modeling the complex and context-dependent influence of fire history on faunal distributions, and may reduce the need to collect extensive field data on habitat structure and other proximate drivers.

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Could biological soil crusts act as natural fire fuel breaks in the sagebrush steppe?

Condon

Shinneman

Rosentreter

et al. 2023

Ecology

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Prescribed fire effects on resource selection by cattle in mesic sagebrush steppe. Part 1: Spring grazing

Cited by 25 publications

References 51 publications

Do Movement Patterns of GPS-Tracked Cattle on Extensive Rangelands Suggest Independence among Individuals?

Do Movement Patterns of GPS-Tracked Cattle on Extensive Rangelands Suggest Independence among Individuals?

Bayesian networks elucidate interactions between fire and other drivers of terrestrial fauna distributions

Could biological soil crusts act as natural fire fuel breaks in the sagebrush steppe?

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