Landscape heterogeneity shapes predation in a newly restored predator–prey system
Open accessAbstract
Because some native ungulates have lived without top predators for generations, it has been uncertain whether runaway predation would occur when predators are newly restored to these systems. We show that landscape features and vegetation, which influence predator detection and capture of prey, shape large‐scale patterns of predation in a newly restored predator–prey system. We analysed the spatial distribution of wolf ( Canis lupus ) predation on elk ( Cervus elaphus ) on the Northern Range of Yellowstone National Park over 10 consecutive winters. The influence of wolf distribution on kill sites diminished over the course of this study, a result that was likely caused by territorial constraints on wolf distribution. In contrast, landscape factors strongly influenced kill sites, creating distinct hunting grounds and prey refugia. Elk in this newly restored predator–prey system should be able to mediate their risk of predation by movement and habitat selection across a heterogeneous risk landscape.
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Claims the paper makes
4 of 66 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Interpretationcitation
Open habitats with few visual barriers may enhance wolves' ability to identify vulnerable individuals within an elk group.
“With few visual barriers, open habitats could also enhance the wolvesÕ ability to sort through an elk group and scan its members for vulnerable individuals to attack (Mech et al. 1998;MacNulty et al. 2007)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Mech et al. 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites MacNulty et al. 2007 source
The Discussion (page unavailable) says wolves likely assess prey vulnerability and that attacking a group is their primary method of selecting an individual. It does not say that open habitat or fewer visual barriers improves their ability to assess elk group members. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingown data
In 2005, landscape features produced a highly variable predation-risk surface, with low- and high-risk areas differing by almost two orders of magnitude.
“In 2005, the influence of landscape features created a predation-risk landscape that was highly variable, with areas of low and high risk varying by nearly two orders of magnitude (Fig. 2a).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- The authors state this as an assumption: Elk density across the study area is proportional to habitat use estimated by Mao et al. (2005).
- Findingown data
A model with both elk and wolf distributions explained kill locations far better than models with only predator or only prey distribution.
“A model including both elk and wolf distributions fit the kill data much better than did single-term models that included the distribution of only predator or prey (likelihood ratio v 2 ¼ 88.57, d.f.¼ 1, P < 0.0001; Table S1 in Supplementary Material).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- Findingown data
Conflict among wolf packs rose as pack density on the Northern Range increased.
“There is ample evidence that inter-pack conflict has increased as the density of NR wolf packs has increased.”
Quote in the paperNot a substantial claim - Findingown data
Long-term monitoring recorded 2.8 aggressive inter-pack interactions per year in 1996-2000 and 11.8 per year in 2001-2005.
“Long-term monitoring in this system has recorded 2.8 (±0.8 SE) aggressive inter-pack interactions (i.e.intraspecific chase/flee, attack or kill) per year during the first half of the study period (1996)(1997)(1998)(1999)(2000) and 11.8 (±2.6 SE) such interactions per year during the latter half of the study (2001)(2002)(2003)(2004)(2005).”
Quote in the paperSubstantial claim
- Findingown data
A wolf density increase that raised risk tenfold in 1996 raised it only 1.25-fold in 2005.
“For example, comparing a risky area with a refuge area, we found that an increase in wolf density that caused a 10-fold increase in risk (relative to mean annual risk) in 1996 caused only a 1.25-fold increase in risk in 2005 (Fig. 2b).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- The authors state this as an assumption: Elk density across the study area is proportional to habitat use estimated by Mao et al. (2005).
- Findingreasoning
Wolf distribution became less influential on where kills occurred across the ten winters.
“The influence of wolf distribution on kill sites diminished over the course of this study, a result that was likely caused by territorial constraints on wolf distribution.”
- Also stated in: § R E S U L T S · hedged
“The best-supported time-varying models included a negative wolf • time interaction (likelihood ratio v 2 ¼ 23.66, d.f.¼ 1, P < 0.0001; Table 1; Table S1), indicating that the influence of wolf distribution on kills has diminished over time.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- Also stated in: § R E S U L T S · hedged
- Findingown data
Soon after wolf reintroduction, wolf distribution also generated substantial spatial variation in risk.
“In the early years after wolf reintroduction, wolf distribution also created considerable spatial variation in risk.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- Findingown data
Landscape features strongly shape the spatial distribution of wolf kills on elk in the Northern Range, more than wolf distribution does.
“We show that landscape features and vegetation, which influence predator detection and capture of prey, shape large-scale patterns of predation in a newly restored predator-prey system.”
- Also stated in: § Abstract · boosted
“We evaluated landscape-level variability in wolf predation on elk and found that spatial patterns of predation are more strongly influenced by landscape features than by wolf distribution.”
- Also stated in: § R E S U L T S · hedged
“Because these models take into account the spatial distribution of elk and wolves, they indicate that landscape factors strongly shape where wolves kill elk in this newly restored predator-prey system.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- Also stated in: § Abstract · boosted
- Findingcitation
Confirmed killing among wolves increased from 0.8 to 2.5 per year over the same period.
“Confirmed intraspecific killing by wolves increased over the same period, from 0.8 (±0.3 SE) per year to 2.5 (±1.0 SE) per year (D.W. Smith, unpublished data).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites D.W. Smith, unpublished data
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
Temporal interactions with landscape variables had negligible support, suggesting that the habitat types where wolves killed elk changed little over the ten years.
“There was negligible support for temporal interactions with landscape variables, indicating that the types of habitats where wolves have killed elk have changed little over the 10 years of wolf recolonization.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- Findingown data
The map of relative kill occurrence indicates that considerable-sized refugia for elk exist on the Northern Range.
“Our map of relative kill occurrence indicates that refugia for elk of considerable size exist on the NR.”
Quote in the paperSubstantial claim - Findingcitation
Studies on the Northern Range so far do not yield empirical support for profound elk behavioral shifts relative to wolves.
“A potentially naı ¨ve prey responding to a predator might undergo such changes, but studies conducted so far on the NR do not yield empirical support for profound elk behavioural shifts relative to wolves.”
Quote in the paperSubstantial claim - Findingreasoning
In the Northern Range system, the influence of annual wolf distribution on kill occurrence was weakened by social interactions and territory selection of wolves.
“In addition to the constraint of landscape and habitat on predation in the NR system, the influence of the annual wolf distribution on kill occurrence was weakened by the social interactions and territory selection of the predators themselves.”
Quote in the paperSubstantial claim - Findingreasoning
On the Northern Range, hunting grounds are used by multiple wolf packs.
“Hunting grounds of the NR are used by multiple wolf packs, a situation that does not conform to the widely held conceptual model of distinct territorial boundaries with interstitial prey refuges that has been suggested on an empirical (Mech 1977) and theoretical (Lewis & Murray 1993) basis.”
Quote in the paperSubstantial claim - Findingreasoning
In the Northern Range system, territory buffers do not appear to reduce the likelihood of kill occurrence.
“By contrast, wolf territory overlap is high in the NR system, and territory buffers do not appear to reduce the likelihood of kill occurrence.”
Quote in the paperSubstantial claim - Findingreasoning
In the Northern Range system, wolf territory overlap is high.
“By contrast, wolf territory overlap is high in the NR system, and territory buffers do not appear to reduce the likelihood of kill occurrence.”
Quote in the paperSubstantial claim - Findingown data
Open habitats are more risky for elk than forested areas.
“Also, elk increased their winter use of open areas post-wolf reintroduction, despite our finding that such habitats are more risky than forested areas.”
Quote in the paperSubstantial claim - Findingown data
This restored wolf-ungulate system shows a striking amount of landscape-level spatial variation in predation.
“In this newly restored wolf-ungulate system, we found a striking degree of spatial variability in predation at the landscape level.”
Quote in the paperSubstantial claim - Findingown data
We found little support for changes over 10 years in the types of habitats where wolves killed elk.
“Lastly, we found little support for changes in the types of habitats where wolves have killed elk over 10 years, a response we would expect if elk have altered their habitat selection and movement patterns to avoid encountering and being killed by wolves.”
Quote in the paperSubstantial claim - Findingcitation
There is little evidence that temporal changes in elk antipredator behavior explain the decoupling of kills from predator distribution.
“There is little evidence that a temporal change in elk antipredator behaviour provides an alternative explanation for the decoupling of kills from predator distribution.”
Quote in the paperSubstantial claim - Findingnone given
On the Northern Range, wolf hunting grounds were flat, snow-covered grasslands near streams and roads.
“Hunting grounds on the NR were flat, snow-covered grasslands close to streams and roads.”
Quote in the paperSubstantial claim - Findingown data
By 2005, variation in predation risk is largely determined by landscape features that create risky and refuge habitats.
“By 2005, variation in predation risk is largely determined by landscape features that create risky (location C in risk map) and refuge (location D in risk map) habitats.”
Quote in the paperSubstantial claim - Study design and conductcitation
Aerial surveys showed no bias related to vegetation type or roads.
“However, aerial surveys were not biased with respect to vegetation type (conifer forest vs. open sage/grasslands) or roads.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith et al. 2004 source
- Interpretationown data
Major changes in elk behavior or habitat use do not explain why wolf influence on kill locations weakened.
“Because we did not find evidence for a temporal change in the types of habitats where wolves killed elk, we believe that profound shifts in elk behaviour or habitat use are not responsible for the attenuating influence of wolves on kill locations.”
Quote in the paperSubstantial claim - Premisecitation
In winter, elk choose south-facing grasslands where snow does not prevent foraging.
“During winter elk select south-facing grassland habitats, where the snow level is not deep or crusted enough to impede their ability to forage (Houston 1982;Skovlin et al. 2002).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Houston 1982
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Skovlin et al. 2002
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Rising aggression between packs became an increasingly important spatial constraint on wolf territory choice and hunting.
“This increase in pack-pack aggression over the study period represents an increasingly important spatial constraint on wolf territory selection and hunting patterns.”
Quote in the paperSubstantial claim - Interpretationreasoning
A predator-dependent functional response probably does not explain why predation became decoupled from predator distribution.
“Given this, it seems unlikely that a predator-dependent functional response is responsible for the decoupling of predation from predator distribution.”
Quote in the paperSubstantial claim - Interpretationown data
The weakening link between kills and wolf distribution was not an artifact of wolf distribution becoming more uniform.
“These data, and our case-control design that took account of the annual change in wolf distribution, suggest that the decoupling of kills from wolf distribution was not an artefact of an increasingly homogenized wolf distribution.”
Quote in the paperSubstantial claim - Interpretationown data
Over the first decade of wolf population growth, wolf distribution became less important than landscape features in shaping variation in predation risk.
“Thus, during the first 10 years of wolf population expansion in Yellowstone, wolf distribution became less important in determining variation in predation risk relative to landscape features.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- The authors state this as an assumption: Elk density across the study area is proportional to habitat use estimated by Mao et al. (2005).
- Study design and conductreasoning
Wolf kills can be reliably separated from kills by other carnivores.
“Wolf kills are distinguished readily from kills made by other carnivores.”
Quote in the paperSubstantial claim - Interpretationreasoning
Territorial constraints on wolves probably drove the reduced link between wolf distribution and kill sites.
“a result that was likely caused by territorial constraints on wolf distribution.”
- Also stated in: § D I S C U S S I O N · hedged
“In this system, territorial constraints on predator habitat selection and movement were the most likely mechanisms for the spatial decoupling of predator and kill sites.”
Quote in the paperSubstantial claim - Also stated in: § D I S C U S S I O N · hedged
- Interpretationreasoning
Elk in this restored system can likely reduce predation risk by moving and selecting habitat across a landscape of varying risk.
“Elk in this newly restored predator-prey system should be able to mediate their risk of predation by movement and habitat selection across a heterogeneous risk landscape.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Elk density across the study area is proportional to habitat use estimated by Mao et al. (2005).
- Interpretationcitation
Elk's ability to mediate predation risk dynamically may explain why they do not avoid the riskiest habitat patches.
“The ability of elk to mediate predation risk in such a dynamic way may explain why elk do not avoid the riskiest habitat patches (Mao et al. 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mao et al. 2005 source
- Premisecitation
Since wolf reintroduction, the Northern Range elk population has declined by an average of 8% annually.
“Since wolf reintroduction, the NR elk population has declined by an average of 8% annually (White & Garrott 2005), resulting in much debate about the long-term equilibrium size of the elk herd (Eberhardt et al. 2003;Vucetich et al. 2005;Varley & Boyce 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites White & Garrott 2005 source
- Interpretationreasoning
The riskiness of these habitat features for elk is consistent with wolves' cursorial hunting strategy.
“The risky influence of these habitat features for elk is consistent with the cursorial (as opposed to stalking) hunting strategy of wolves.”
Quote in the paperSubstantial claim - Interpretationreasoning
The highly heterogeneous pattern of predation in this system suggests that economically and socially valuable ungulate populations will not suffer runaway predation as occurs with many exotic predator invasions.
“The highly heterogeneous pattern of predation found in this system offers a measure of assurance that economically and socially valuable ungulate populations will not suffer runaway predation as occurs with many exotic predator invasions (Fritts & Rodda 1998;Knapp et al. 2001).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
The use of Northern Range hunting grounds by multiple wolf packs does not conform to the widely held conceptual model of distinct territorial boundaries with interstitial prey refuges.
“Hunting grounds of the NR are used by multiple wolf packs, a situation that does not conform to the widely held conceptual model of distinct territorial boundaries with interstitial prey refuges that has been suggested on an empirical (Mech 1977) and theoretical (Lewis & Murray 1993) basis.”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationcitation
These antipredator behaviors have not caused landscape-level changes in elk distribution or behavior sufficient to explain the kill-site analysis results.
“However, these antipredator behaviours have not brought about landscape-level changes in the distribution or behaviour of elk required to explain the results of our kill-site analysis.”
Quote in the paperSubstantial claim - Interpretationreasoning
Spatially uneven predation rates are likely a general characteristic of native or restored predator-prey systems.
“Although the precise mechanisms for a strong landscape influence on patterns of predation in this system are unclear, we believe such spatially heterogeneous rates of predation to be a general feature of native (or restored) predator-prey systems.”
Quote in the paperNot a substantial claim - Interpretationreasoning
In addition to selection of prey vulnerable by sex, age, or body condition, habitat may influence predation rates by mediating identification, pursuit, and capture of vulnerable prey.
“This work suggests that in addition to the welldocumented pattern of wolf selection of prey made vulnerable due to sex, age or body condition (Mech & Peterson 2003), habitat may also influence predation rates by mediating the successful identification, pursuit and capture of vulnerable prey.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Mech & Peterson 2003 source
- Interpretationreasoning
The hunting-ground features found in this study align with what is known about how wolves naturally hunt.
“Overall, the physical attributes of the hunting grounds identified in this study are consistent with the natural history of wolf hunting behaviour.”
Quote in the paperSubstantial claim - Interpretationcitation
Prey refugia are likely to influence long-term wolf and elk dynamics by reducing predator-caused fluctuations in elk numbers.
“The existence of prey refugia also is likely to influence long-term wolf and elk dynamics by reducing predator-caused fluctuations in elk numbers, as found in theoretical studies (Kareiva & Wennegren 1995).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kareiva & Wennegren 1995 source
- Premisecitation
Streams and associated channels and ravines may impede elk escape by providing physical obstacles.
“Similarly, streams and associated channels and ravines provide physical obstacles that may impede elk escape (Bergman et al. 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bergman et al. 2006 source
- Interpretationreasoning
Territorial limits on predator habitat selection and movement were the most probable cause of the spatial separation between predators and kill sites.
“In this system, territorial constraints on predator habitat selection and movement were the most likely mechanisms for the spatial decoupling of predator and kill sites.”
Quote in the paperSubstantial claim - Interpretationown data
The way predators organize themselves on the landscape to reduce conflict with conspecifics may obscure the relationship between predator distribution and predation risk.
“Our findings suggest that the manner in which predators organize themselves on the landscape to reduce conflict with conspecifics may obscure the relationship between predator distribution and predation risk.”
Quote in the paperSubstantial claim - Interpretationreasoning
In the Northern Range system, multiple wolf packs need to maintain access to some of the same hunting grounds.
“In this system, it appears necessary that multiple packs maintain access to some of the same hunting grounds.”
Quote in the paperSubstantial claim - Interpretationown data
The availability and accessibility of these refugia should buffer the elk population from extreme predation levels.
“The availability of these refugia for elk, and their ease of accessing them, should buffer the population from extreme levels of predation.”
Quote in the paperSubstantial claim - Premisecitation
GPS-collared elk on the Northern Range did not avoid core areas of wolf territories.
“Further, an analysis of GPS (Global Positioning System) collared elk on the NR (Fortin et al. 2005) found that elk did not avoid the core areas of wolf territories.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fortin et al. 2005 source
- Interpretationreasoning
The obscuring of the predator distribution-predation risk relationship by predator spatial organization may be especially important in systems where predation patterns are strongly determined by landscape or habitat features.
“We suspect that this phenomenon may be especially important in predator-prey systems where patterns of predation are strongly determined by landscape or habitat features.”
Quote in the paperSubstantial claim - Premisecitation
An NR study found that elk did not shift their distribution away from wolf territories during winter.
“This contention is supported by an NR study evaluating elk habitat selection before and after wolf reintroduction (Mao et al. 2005) that found that elk did not shift their distribution away from wolf territories during winter.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Mao et al. 2005 source
- Premisecitation
Elk increased their winter use of open areas after wolf reintroduction.
“Also, elk increased their winter use of open areas post-wolf reintroduction, despite our finding that such habitats are more risky than forested areas.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mao et al. 2005 source
- Interpretationown data
Physical features of the landscape where wolves and elk interact appear to cause most of this variation.
“Most of this variability appears to be caused by physical features of the landscape where prey and predator interact.”
Quote in the paperSubstantial claim - Premisecitation
Deep snow favors wolves after encounters by hindering ungulate locomotion.
“Deep snow also favours wolves after encounters because it can hinder ungulate locomotion (Huggard 1993;Post et al. 1999).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationcitation
It is unlikely to be optimal for elk to simply avoid these resources because many provide forage during critical winter months when elk experience diminishing fat reserves.
“However, we think it is unlikely to be optimal for elk to simply avoid these resources, because many of them provide forage during the critical winter months (Creel et al. 2005;Mao et al. 2005) when NR elk (and other northern ungulates) experience diminishing fat reserves (Cook et al. 2001).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
The need for winter forage most likely explains why elk have not made broad-scale changes in winter habitat selection to avoid wolves.
“This need for winter forage most likely explains why elk have not made broad-scale changes in winter habitat selection as a means of avoiding encounters with wolves (Fortin et al. 2005;Mao et al. 2005).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
The strength of behaviorally mediated trophic cascades will depend on the costs and benefits of antipredator behavior.
“We note that the strength of such behaviourally mediated cascades will depend on the cost and benefits of antipredator behaviour (i.e.avoiding or foraging less efficiently in risky areas; Schmitz et al. 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schmitz et al. 2004 source
- Classified as probably not a substantial claim. 15
- May combine two claims. 31
Classified as probably not a substantial claim.
PremisecitationUngulates with no recent exposure to predators are thought to lose vigilance and become more vulnerable to predation.
“Native ungulates that have lived without predators are expected to become naı ¨ve and less vigilant, increasing their vulnerability to predation (Berger 1999;Berger et al. 2001;Sand et al. 2006).”
Quote in the paperSubstantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral studies on Yellowstone's Northern Range suggest that wolves affect willow, cottonwood, and aspen communities by changing elk browsing behavior during winter.
“Several studies on Yellowstone's NR have suggested that wolves are affecting willow (Salix spp.), cottonwood (Populus spp.) and aspen (P.tremuloides) communities by changing the behaviour of elk that heavily browse these woody plants during winter (Ripple et al. 2001;Ripple & Beschta 2004;Beyer et al. 2007).”
Quote in the paperNot a substantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationElk respond to wolf predation risk by increasing vigilance or shifting habitat use temporally.
“Several studies have shown that elk respond to the risk of predation by wolves by increasing vigilance levels (Laundre et al. 2001) or shifting habitat use temporally (Creel et al. 2005;Gude et al. 2006).”
Quote in the paperNot a substantial claim1 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOver the decade following reintroduction, the Northern Range wolf population grew from 14 wolves in three packs to 84 wolves in six packs.
“During the 10 years since reintroduction, the NR wolf population increased from 14 wolves in three packs to 84 wolves in six packs (Fig. 1a).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe best landscape model contained all landscape variables and greatly outperformed the elk-plus-wolf encounter model.
“The bestfit landscape model included all landscape variables and vastly outperformed the elk + wolf encounter model (likelihood ratio v 2 ¼ 270.11, d.f.¼ 6, P < 0.0001; Table 1; Table S1).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
May combine two claims.
FindingcitationPer-capita wolf kill rate on the Northern Range did not drop sharply during the study, suggesting packs kept a fairly constant annual kill rate.
“Similarly, the per-capita kill rate for wolves on the NR has not declined sharply over the study period (D.W. Smith, unpublished data), suggesting that wolf packs maintained a relatively constant annual kill rate.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites D.W. Smith, unpublished data
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown dataA few large, dominant packs kept the best hunting grounds throughout the decade, but most pack territories moved away from those grounds as wolf density rose.
“A few large, competitively dominant packs retained access to the best hunting grounds over the 10 years, but the majority of pack territories shifted away from the best hunting grounds as wolf density increased.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Annual catchability maps roughly approximate the relative quality of wolf habitat for finding and killing elk.
May combine two claims.
Findingown dataWith pack size controlled, average elk catchability in each pack's winter territory declined over time, and a significant pack size-by-time interaction showed large packs held better hunting grounds while small packs were pushed to poorer ones.
“After controlling for pack size, a decline through time in the average catchability of elk within each pack's winter territory area was evident (multiple regression; pack size: t ¼ )2.48, P ¼ 0.0166; year: t ¼ )3.47, P ¼ 0.0011), with a significant pack size • time interaction (t ¼ 2.33, P ¼ 0.0238) whereby large packs had access to high-quality hunting grounds and small packs were relegated to po”
Quote in the paperSubstantial claim- The authors state this as an assumption: Annual catchability maps roughly approximate the relative quality of wolf habitat for finding and killing elk.
May combine two claims.
Findingown dataPredation risk is a function of both predator distribution and habitat features, with habitat playing the larger role at high predator densities.
“however, our findings indicate that risk is a function of both predator distribution and habitat features, with habitat playing the larger role at high predator densities.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen wolves were first reintroduced, wolf pack distribution strongly influenced predation risk, but this influence largely diminished after 10 years of wolf population expansion.
“When first reintroduced, wolf pack distribution also strongly influenced predation risk (panel b), but this influence has largely diminished after 10 years of wolf population expansion.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSpatial variation in predation risk is largely driven by landscape features, creating a limited number of hunting grounds where predation risk is often 10 times higher than the landscape average.
“Spatial variation in predation risk is largely driven by landscape features, which create a limited number of hunting grounds where predation risk is often 10 times higher than the landscape average (a map value of 1 denotes average risk).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDuring this period, elk made up 92% of winter ungulate prey killed by wolves.
“Over this time period, 92% of the ungulate prey taken by wolves during winter have been elk (Smith et al. 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith et al. 2004 source
May combine two claims.
Interpretationown dataLandscape features produce separate areas of high hunting success and areas of prey refuge.
“In contrast, landscape factors strongly influenced kill sites, creating distinct hunting grounds and prey refugia.”
- Also stated in: § D I S C U S S I O N · hedged
“Our study suggests that hunting grounds -habitat patches with physical features favourable to hunting success of wolvesexist on the NR, and that their distribution on the landscape influences both territorial space used by wolves and spatial variation in predation risk for elk.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
- Also stated in: § D I S C U S S I O N · hedged
May combine two claims.
PremisecitationIntroductions of non-native predators to islands without predators demonstrate that novel predators can greatly reduce native prey numbers and drive local extinctions.
“The history of introductions of exotic predators to predator-free islands illustrates that novel predators can markedly reduce populations of native prey and cause local extinctions (Fritts & Rodda 1998;Knapp et al. 2001;Blackburn et al. 2004).”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationWolves were returned to Yellowstone in 1995, having been absent from the ecosystem since the 1930s.
“Wolves were reintroduced to YNP in 1995 after being extirpated from this ecosystem in the 1930s (Bangs & Fritts 1996).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bangs & Fritts 1996
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationTheory holds that long-term persistence of native predator-prey systems depends on variable predation rates arising from spatial or temporal prey refuges.
“Theory suggests that native predator-prey systems persist over the long term due to heterogeneity in predation rates caused by prey refugia in space or time (Fryxell et al. 1988;Kareiva & Wennegren 1995;Ellner et al. 2001).”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Study design and conductreasoningLocations of wolf packs known to be at a kill were left out of the utilization distribution to lessen spatial dependence between kill sites and pack territories.
“Aerial relocations of wolf packs known to be on a kill were excluded from the UD estimation to reduce the spatial dependence of kill sites on pack territories.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationCombining the two survey methods produced little detection bias for the landscape variables analyzed, even though about 27% of kills were missed.
“While an estimated 27% of total kills went undiscovered, the two survey efforts conducted simultaneously (45% of our kills were detected from the air, 71% from the ground and 17% by both survey methods) resulted in minimal detection bias with respect to the landscape features used in our analysis (Smith et al. 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith et al. 2004 source
May combine two claims.
Interpretationown dataWolves did not kill in direct proportion to elk distribution or to their own winter territory use.
“This indicates that wolves were not simply making kills on the landscape in strict proportion to the distribution of elk, or their own spatial patterns of winter territory use.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
May combine two claims.
Study design and conductown dataMost landscape variables had low collinearity (r < 0.43), but snow water equivalent and elk were negatively correlated at r = -0.80.
“All landscape variables showed relatively low levels of collinearity (r < 0.43), except for SWE and elk, which were negatively correlated with r ¼ )0.80.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationGround surveys detect wolf-killed elk more often near roads, and no kills were found beyond 7.23 km from a road.
“Smith et al. (2004) used a double-count method to evaluate observation error in these surveys and found that ground crews are biased towards detecting wolf-killed elk in close proximity to the road system, with no kills found further than 7.23 km from the road.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith et al. 2004 source
May combine two claims.
PremisecitationAt the edge of grizzly recolonization in greater Yellowstone, at least ten adult moose were killed by bears within four years, while no such kills were recorded where the two species had coexisted for over a century.
“For example, in only 4 years at least 10 adult moose (Alces alces) fell prey to grizzly bears at the frontier of bear recolonization in the greater Yellowstone area as compared with no records of predation where both had existed for 100+ years (Berger et al. 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Berger et al. 2001 source
May combine two claims.
InterpretationreasoningThe heterogeneity of the landscape that elk historically shared with wolves should allow them to mediate predation risk from the newly restored wolf population, unlike highly vulnerable native prey of introduced predators.
“Unlike the highly vulnerable native prey of introduced predators, the heterogeneity of the landscape that elk historically shared with wolves should allow them to mediate their risk of predation from this newly restored predator.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn wolf-ungulate systems, prime-age adult prey are largely invulnerable to predation, and predators selectively target young, old, or weak individuals.
“In wolf-ungulate systems, as in other large mammal systems (Sinclair & Arcese 1995), prime-age adult prey are largely invulnerable to predation, and predators are highly selective, targeting the young, old or weak (Mech & Peterson 2003).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Sinclair & Arcese 1995 source
- cites Mech & Peterson 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationElk move out of open areas when wolves are near or likely to occur, and aggregate in larger groups in open areas the longer wolves are absent.
“This notion is supported by recent findings showing that elk move out of open areas when wolves are near (Creel et al. 2005) or likely to occur (Fortin et al. 2005), and aggregate in increasingly larger groups in open areas the longer wolves are absent (Creel & Winnie 2005).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Creel et al. 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Fortin et al. 2005 source
- cites Creel & Winnie 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
InterpretationcitationThese results have implications for the potential of restored predators to initiate behaviorally mediated trophic cascades by changing prey habitat selection or foraging behavior.
“These results have implications for the potential of restored predators to initiate trophic cascades by changing the habitat-selection patterns or foraging behaviour of their prey (i.e.behaviourally mediated trophic cascades; Schmitz et al. 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Schmitz et al. 2004 source
- Rests on an assumption: A rigorous test of behaviorally mediated trophic cascades has been hindered by the lack of an empirical assessment of landscape-level predation risk.
May combine two claims.
Interpretationown dataLandscape features may often tip the balance in predator-prey encounters, influencing post-encounter outcomes.
“Our finding of strong landscape effects on predation suggests that landscape features may often Ôtip the balanceÕ in predator-prey encounters, thus influencing post-encounter outcomes.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationBoth pre-encounter and post-encounter interactions between predators and prey contribute to the riskiness of hunting grounds on the Northern Range.
“Such habitat features can influence spatial patterns of predation by influencing either pre-or post-encounter interactions between predators and prey (Hebblewhite et al. 2005), and we believe both mechanisms play a role in conferring riskiness to the NR hunting grounds.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hebblewhite et al. 2005 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWolves are inefficient predators with generally low hunting success (about 20%), partly because of the large size and defensive capabilities of their prey.
“Wolves are inefficient predators with generally low hunting success (»20%; Smith et al. 2000) due, in part, to the large size and defensive capabilities of their prey.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith et al. 2000 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor Serengeti lions, kills were more closely associated with good hunting habitats (stalking cover) than with areas of high prey abundance.
“Hopcraft et al. (2005) found similar patterns for Serengeti lions (Panthera leo), whereby lion kills were more closely associated with good hunting habitats (in this case, stalking cover) than areas of high prey abundance.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hopcraft et al. 2005 source
May combine two claims.
PremisecitationIn Minnesota, wolf pack territory boundaries function as buffers where most interpack killings occur and where ungulate prey densities are elevated.
“In Minnesota, boundaries between wolf pack territories appear to function as buffers where most interpack killings occur (Mech 1994) and where ungulate prey densities are elevated (Hoskinson & Mech 1976).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a study decomposing predation stages, topographic features determined wolf-elk encounter patterns, while vegetation habitat mediated post-encounter outcomes.
“In a study that was able to decompose the stages of predation, Hebblewhite et al. (2005) found that topographic features determined patterns of wolf-elk encounters, while habitat (i.e.vegetation) mediated postencounter outcomes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hebblewhite et al. 2005 source
May combine two claims.
PremisecitationStreams and roads likely increase prey encounter rates by providing travel corridors, and open habitats likely facilitate prey detection.
“Streams and roads provide convenient travel corridors that likely increase prey encounter rates (Kunkel & Pletscher 2000), while open habitats likely facilitate prey detection (Kunkel & Pletscher 2000;Creel et al. 2005).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kunkel & Pletscher 2000 source
- cites Creel et al. 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn ecological studies, predator distribution has commonly been used as a surrogate for predation risk.
“Predator distribution has been commonly used as a surrogate for predation risk in ecological studies (e.g.Ripple et al. 2001;Creel et al. 2005;Fortin et al. 2005);”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningHigh densities of wolves and elk on the Northern Range and strong landscape influence on predation success interact to create high territorial overlap where the best hunting opportunities exist.
“Instead, the relative high density of wolf and elk populations on the NR and the strong landscape influence on predation success interact to create a pattern of high territorial overlap where the best hunting opportunities exist.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe results support the idea that packs moved their winter territories away from, but next to, the best hunting grounds, thereby weakening the link between kill sites and wolf distribution.
“These results are consistent with our hypothesis that individual wolf packs shifted their winter territories away from but adjacent to the best hunting grounds, thus decoupling kill locations from wolf distribution.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Annual catchability maps roughly approximate the relative quality of wolf habitat for finding and killing elk.
May combine two claims.
InterpretationcitationThe mosaic of risky and safe habitat patches on the Northern Range allows elk to reduce wolf predation risk by moving about 1-2 km, which is within daily movements.
“The mosaic of risky and safe habitat patches available to NR elk suggests that elk can reduce their risk of wolf predation by making movements on the order of 1-2 km, easily achieved within daily movements (Fortin et al. 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fortin et al. 2005 source
May combine two claims.
Interpretationown dataHabitat shapes predation by affecting whether wolf-elk encounters happen and how they end.
“Because we found a strong influence of landscape variables on kill-site occurrence after accounting for the distribution of predator and prey, we believe that habitat mediates predation by influencing the occurrence or outcome of wolf-elk encounters.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
- The authors state this as an assumption: Apart from snow effects, the relative distribution of elk within each year was constant.
May combine two claims.
PremisecitationWolf territory locations were a positive predictor of elk habitat use, so wolf and elk distributions closely overlap.
“In fact, wolf territory locations were a positive predictor of elk habitat use (i.e.wolf and elk distributions closely overlap).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Mao et al. 2005 source
Classified as probably not a substantial claim.
InterpretationreasoningHow elk perceive and manage the trade-off between food and safety will determine the existence and strength of a behaviorally mediated trophic cascade in the Northern Range system.
“How elk perceive and manage the trade-off between food and safety will ultimately determine the existence and strength of a behaviourally mediated trophic cascade in the NR system.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningNorthern Range elk in winter face a trade-off between forage quality and predation risk because most browse communities are in open, flat areas near rivers and roads, which are risky.
“Our study makes clear that NR elk in winter face a clear trade-off between forage quality and predation risk: most of these browse communities are found in open, flat areas near rivers and roads, which are risky places for elk.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
The odds ratio from the case-control logistic regression can be interpreted as the relative probability of a kill.
“we assume the odds ratio to be interpretable as relative probability of kill (Keating & Cherry 2004).”
The authors state this as an assumption.
Apart from snow effects, the relative distribution of elk within each year was constant.
“our habitat model assumed (aside from the influence of snow) that the relative distribution of elk within each year was constant.”
The authors state this as an assumption.
Elk density across the study area is proportional to habitat use estimated by Mao et al. (2005).
“we assume that elk density across the study area is proportional to habitat use as estimated by Mao et al. (2005).”
The authors state this as an assumption.
Annual catchability maps roughly approximate the relative quality of wolf habitat for finding and killing elk.
“We assumed that annual catchability maps roughly approximate the relative quality of wolf habitat as it relates to their likelihood of successfully finding and killing elk.”
The paper relies on this without support.
On the Northern Range, snow accumulation pushes elk to lower-elevation winter range, so elk distribution changes within and among winters.
“On the NR, it is well known that snow accumulation throughout winter (if deep enough) pushes elk to lower-elevation winter range; thus, elk distribution on the landscape changes within and among annual winter seasons.”
The paper relies on this without support.
A rigorous test of behaviorally mediated trophic cascades has been hindered by the lack of an empirical assessment of landscape-level predation risk.
“However, in our view, a rigorous test has been hindered thus far by the lack of an empirical assessment of landscape-level predation risk.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Table S1 is given conflicting contents
MinorThe results cite Table S1 for a comparison of kill-occurrence models, but the supplementary-material list describes Table S1 as an analysis of variance in the wolf density index.
“A model including both elk and wolf distributions fit the kill data much better than did single-term models that included the distribution of only predator or prey (likelihood ratio v 2 ¼ 88.57, d.f.¼ 1, P < 0.0001; Table S1 in Supplementary Material).”
“Table S1 Spatial variance in wolf density index through time.”
Figure S1 is given conflicting contents
MinorThe results cite Figure S1 as evidence about temporal variance in wolf density, whereas the supplementary-material list describes it as model-selection results.
“no temporal decline in the variance of the wolf density index was evident (see Fig. S1).”
“Figure S1 Model selection results for models of kill occurrence.”
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Self-citationMoose harvesting strategies in the presence of wolves
Nilsen, E. B., Pettersen, T., Gundersen, H., Milner, J. M., Mysterud, A., Solberg, E. J., Andreassen, H. P., & Stenseth, N. C. (2005) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2005.01018.x · Cited by 68 · see citing works
WOLF–BISON INTERACTIONS IN YELLOWSTONE NATIONAL PARK
Smith, D. W., Mech, L. D., Meagher, M., Clark, W. E., Jaffe, R., Phillips, M. K., & Mack, J. A. (2000) · Journal of Mammalogy · doi:10.1644/1545-1542(2000)081
Self-citation
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Sorted by citations
Effects of Humans on Behaviour of Wildlife Exceed Those of Natural Predators in a Landscape of Fear
Ciuti, S., Northrup, J. M., Muhly, T. B., Simi, S., Musiani, M., Pitt, J. A., & Boyce, M. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050611 · Cited by 500 · see citing works
“RSFs are any function proportional to the probability of selection of a resource unit, and have been widely used to model species distributions [51,52].”
MethodSelf-citationPredator control of ecosystem nutrient dynamics
Schmitz, O. J., Hawlena, D., & Trussell, G. C. (2010) · Ecology Letters · doi:10.1111/j.1461-0248.2010.01511.x · Cited by 468 · see citing works
“Decoupling carcass distribution from live-prey distribution In some habitats, prey species tend to be disproportionately vulnerable to predation leading to differences in the overall distribution of live prey and locations where they tend to be killed across the landscape (Kauffman et al. 2007).”
BackgroundBakker, E. S., Gill, J. L., Johnson, C. N., Vera, F. W. M., Sandom, C. J., Asner, G. P., & Svenning, J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502545112 · Cited by 422 · see citing works
Hopcraft, J. G. C., Olff, H., & SINCLAIR, A. R. E. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2009.08.001 · Cited by 382 · see citing works
Top predators as biodiversity regulators: the dingo <i>Canis lupus dingo</i> as a case study
Letnic, M., Ritchie, E. G., & Dickman, C. R. (2012) · Biological Reviews · doi:10.1111/j.1469-185x.2011.00203.x · Cited by 331 · see citing works
“<2000 km2) spatial scales (Sinclair et al., 2000; Fortin et al., 2005; Beyer et al., 2007; Kauffman et al., 2007; Berger, Gese & Berger, 2008; Trewby et al., 2008) or in fragmented landscapes and island ecosystems (McLaren & Peterson, 1994; Crooks & Soulé, 1999; Terborgh et al.”
BackgroundThaker, M., Vanak, A. T., Owen, C. R., Ogden, M. B., Niemann, S. M., & Slotow, R. (2010) · Ecology · doi:10.1890/10-0126.1 · Cited by 312 · see citing works
Diel predator activity drives a dynamic landscape of fear
Kohl, M. T., Stahler, D. R., Metz, M. C., Forester, J. D., Kauffman, M. J., Varley, N., White, P. J. C., Smith, D. W., & MacNulty, D. R. (2018) · Ecological Monographs · doi:10.1002/ecm.1313 · Cited by 299 · see citing works
Self-citationPaws without claws? Ecological effects of large carnivores in anthropogenic landscapes
Kuijper, D. P. J., Sahlén, E., Elmhagen, B., Chamaillé‐Jammes, S., Sand, H., Lone, K., & Cromsigt, J. P. G. M. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.1625 · Cited by 295 · see citing works
Considering ecological dynamics in resource selection functions
McLoughlin, P. D., Morris, D. W., Fortin, D., Wal, E. V., & Contasti, A. L. (2009) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2009.01613.x · Cited by 267 · see citing works
“The behavioural basis for these shifts is likely due to initially naı̈ve prey learning to associate what were once ‘safe’ habitat components with higher abundances of predators (Kauffman et al. 2007) and conflicts between vigilance and time spent foraging (Fortin et al. 2004).”
BackgroundResultKauffman, M. J., Brodie, J. F., & Jules, E. S. (2010) · Ecology · doi:10.1890/09-1949.1 · Cited by 275 · see citing works
“The wolf population appears to be near saturation, controlled currently by intraspecific competition for limited viable territories as evidenced by increased levels of inter-pack interactions and intraspecific killing (Kauffman et al .”
BackgroundMethodResultInfluentialSelf-citationHunting for fear: innovating management of human–wildlife conflicts
Cromsigt, J., Kuijper, D., Adam, M., Beschta, R., Churski, M., Eycott, A., Kerley, G., Mysterud, A., Schmidt, K., & West, K. (2013) · Journal of Applied Ecology · doi:10.1111/1365-2664.12076 · Cited by 229 · see citing works
“After temporal variation in risk, landscape characteristics clearly influence the strength of risk effects (Kauffman et al. 2007).”
BackgroundFortin, D., Fortin, M.-E., Beyer, H. L., Duchesne, T., Courant, S., & Dancose, K. (2009) · Ecology · doi:10.1890/08-0345.1 · Cited by 263 · see citing works
Glucocorticoid stress hormones and the effect of predation risk on elk reproduction
Creel, S., Winnie, J. A., & Christianson, D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902235106 · Cited by 256 · see citing works
Kuijper, D. P. J., Kleine, C., Churski, M., van Hooft, P., Bubnicki, J. W., & Jędrzejewska, B. (2013) · Ecography · doi:10.1111/j.1600-0587.2013.00266.x · Cited by 242 · see citing works
“The landscape of fear in YNP is strongly determined by the physical landscape with strongest risk effects occurring in, for example, large river valleys and mountain ridges (Kauffman et al. 2007).”
BackgroundCaribou encounters with wolves increase near roads and trails: a time‐to‐event approach
Whittington, J., Hebblewhite, M., DeCesare, N. J., Neufeld, L., Bradley, M. P., Wilmshurst, J., & Musiani, M. (2011) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2011.02043.x · Cited by 241 · see citing works
Heithaus, M. R., Wirsing, A. J., Burkholder, D., Thomson, J., & Dill, L. M. (2009) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01512.x · Cited by 239 · see citing works
Dangerous prey and daring predators: a review
Mukherjee, S., & Heithaus, M. R. (2013) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12014 · Cited by 237 · see citing works
“For example wolves avoid steep slopes (see Kauffman et al., 2007) most likely because it helps reduce their chances of injury from falling, and hence these areas likely act as refuges for their prey.”
BackgroundDickie, M., McNay, S., Sutherland, G. D., et al. (2019) · Journal of Animal Ecology · doi:10.1111/1365-2656.13130 · Cited by 213 · see citing works
“Other prey species avoid human-modified habitats, consistent with a predation risk reduction response (Kauffman et al., 2007).”
BackgroundRelative vulnerability of female turtles to road mortality
Steen, D. A., Aresco, M. J., Beilke, S., Compton, B. W., Condon, E. P., Dodd, C. K., Forrester, H., Gibbons, J. W., Greene, J. L., Johnson, G., et al. (2006) · Animal Conservation · doi:10.1111/j.1469-1795.2006.00032.x · Cited by 233 · see citing works
Bailey, I., Myatt, J. P., & Wilson, A. M. (2012) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-012-1423-3 · Cited by 227 · see citing works
“Wolves preferentially hunt on flat open ground, often along movement corridors such as river flood plains where prey are easier to detect and follow (Kauffman et al. 2007).”
BackgroundCotterill, A., Valeix, M., Frank, L. G., Riginos, C., & Macdonald, D. W. (2015) · Oikos · doi:10.1111/oik.02224 · Cited by 220 · see citing works
Time and space in general models of antipredator response: tests with wolves and elk
Creel, S., Winnie, J. A., Christianson, D., & Liley, S. (2008) · Animal Behaviour · doi:10.1016/j.anbehav.2008.07.006 · Cited by 194 · see citing works
“…studies, predation risk is often treated as a parameter that varies among places, by measuring some index of risk across space and asking how spatial variation in risk affects the distribution, abundance or survival of prey animals (Hebblewhite et al. 2002; Kauffman et al. 2007; Frid et al. 2008).”
BackgroundHebblewhite, M., & Merrill, E. H. (2011) · Oikos · doi:10.1111/j.1600-0706.2011.19436.x · Cited by 194 · see citing works
Creel, S. (2018) · Ecology Letters · doi:10.1111/ele.12975 · Cited by 179 · see citing works
Habitat heterogeneity and mammalian predator–prey interactions
Gorini, L., Linnell, J. D. C., May, R. F., Panzacchi, M., Boitani, L., Odden, M., & Nilsen, E. B. (2011) · Mammal Review · doi:10.1111/j.1365-2907.2011.00189.x · Cited by 177 · see citing works
“…habitat selection of highly mobile terrestrial mammals as a response to predation risk and prey availability confirm, however, the importance of spatial heterogeneity in understanding observed kill rates (e.g. Hebblewhite et al. 2005, Hopcraft et al. 2005, Kauffman et al. 2007, Zub et al. 2008).”
BackgroundInfluentialNowhere to hide: Effects of linear features on predator–prey dynamics in a large mammal system
DeMars, C. A., & Boutin, S. A. (2017) · Journal of Animal Ecology · doi:10.1111/1365-2656.12760 · Cited by 173 · see citing works
“Spatial heterogeneity in landscape structure plays a fundamental role in shaping predator–prey dynamics, often being a key determinant of predator–prey coexistence (Gorini et al., 2012; Huffaker, 1958; Kauffman et al., 2007).”
BackgroundBump, J. K., Peterson, R. O., & Vucetich, J. A. (2009) · Ecology · doi:10.1890/09-0292.1 · Cited by 171 · see citing works
Bleicher, S. S. (2017) · PeerJ · doi:10.7717/peerj.3772 · Cited by 171 · see citing works
Cubaynes, S., MacNulty, D. R., Stahler, D. R., Quimby, K. A., Smith, D. W., & Coulson, T. N. (2014) · Journal of Animal Ecology · doi:10.1111/1365-2656.12238 · Cited by 168 · see citing works
“In the NR, wolves even shifted their territories away from the best hunting grounds as the degree of overlap between pack territories increased with wolf density (Kauffman et al. 2007).”
BackgroundSelf-citationExcess digestive capacity in predators reflects a life of feast and famine
Armstrong, J. B., & Schindler, D. E. (2011) · Nature · doi:10.1038/nature10240 · Cited by 170 · see citing works
HABITAT-MEDIATED VARIATION IN PREDATION RISK BY THE AMERICAN MARTEN
Andruskiw, M., Fryxell, J. M., Thompson, I. D., et al. (2008) · Ecology · doi:10.1890/07-1428.1 · Cited by 165 · see citing works
“…that has accounted for differential habitat use suggests that hunting efficiency is influenced by proximity to riverine vegetation and erosion terraces for concealment of Serengeti lions (Hopcraft et al. 2005) and the amount of open grassland adjacent to streams for wolves (Kauffman et al. 2007).”
BackgroundEvaluating Global Positioning System Telemetry Techniques for Estimating Cougar Predation Parameters
Knopff, K., Knopff, A. A., Warren, M., & Boyce, M. (2009) · Journal of Wildlife Management · doi:10.2193/2008-294 · Cited by 169 · see citing works
“…(Mills and Shenk 1992), the physical condition of prey (Husseman et al. 2003), and the spatial distribution of predation risk (Hebblewhite et al. 2005, Kauffman et al. 2007, Creel 2008) are fundamental to understanding the effects large carnivores have on prey populations and ecosystem structure.”
BackgroundSelf-citationHurley, M. A., Unsworth, J. W., Zager, P. E., Hebblewhite, M., Garton, E. O., Montgomery, D. M., Skalski, J. R., & Maycock, C. L. (2011) · Wildlife Monographs · doi:10.1002/wmon.4 · Cited by 154 · see citing works
“Short-term modification of mule deer behavior is plausible through predator removal as observed in elk-wolf (Kauffman et al. 2007) and marine systems (Wirsing et al.”
BackgroundAnderson, T. M., Hopcraft, J. G. C., Eby, S. L., Ritchie, M. E., Grace, J. B., & Olff, H. (2010) · Ecology · doi:10.1890/09-0739.1 · Cited by 147 · see citing works
“Ours and other studies (Ripple and Beschta 2004, Kauffman et al. 2007, Riginos and Grace 2008) suggest that the spatial distributions of herbivore concentrations, and thus areas of greatest potential for ungulate-driven feedbacks, are partially determined by behavioral adaptation to risk.”
BackgroundResultWhat Cues Do Ungulates Use to Assess Predation Risk in Dense Temperate Forests?
Kuijper, D. P. J., Verwijmeren, M., Churski, M., Zbyryt, A., Schmidt, K., Jędrzejewska, B., & Smit, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084607 · Cited by 144 · see citing works
“Landscape characteristics clearly influence predator-prey interaction and the expression of risk effects [20].”
InfluentialHopcraft, J. G. C., Anderson, T. M., Vila, S. P., et al. (2011) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2011.01885.x · Cited by 141 · see citing works
“…with certain landscape features such as dense woodland, embankments, water sources, predator viewsheds and slope which facilitate the capture of prey or conceal huntingpredators (Balme,Hunter&Slotow2007;Hebblewhite,Merrill & McDonald 2005; Hopcraft, Sinclair & Packer 2005; Kauffman et al. 2007).”
BackgroundMattisson, J., Sand, H., Wabakken, P., Gervasi, V., Liberg, O., Linnell, J., Rauset, G., & Pedersen, H. (2013) · Oecologia · doi:10.1007/s00442-013-2668-x · Cited by 142 · see citing works
“…but the predictability and availability of prey (Rich et al. 2012), the choice of prey species (Fuller et al. 2003) and landscape features correlated with hunting success (Kauffman et al. 2007; Rich et al. 2012; Gervasi et al. 2013) may play an equally important role in modulating this effect.”
BackgroundDo wild ungulates experience higher stress with humans than with large carnivores?
Zbyryt, A., Bubnicki, J. W., Kuijper, D. P. J., Dehnhard, M., Churski, M., & Schmidt, K. (2017) · Behavioral Ecology · doi:10.1093/beheco/arx142 · Cited by 132 · see citing works
“these predation risk effects of both natural predators (Kunkel and Pletscher, 2000; Creel et al. 2005; Kauffman et al. 2007) and human hunters (Proffitt et al.”
BackgroundTrophic Cascades by Large Carnivores: A Case for Strong Inference and Mechanism
Ford, A. T., & Goheen, J. R. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.09.012 · Cited by 133 · see citing works
Spatial responses to predators vary with prey escape mode
Wirsing, A. J., Cameron, K. E., & Heithaus, M. R. (2010) · Animal Behaviour · doi:10.1016/j.anbehav.2009.12.014 · Cited by 133 · see citing works
“The lethality of predators at any location is often influenced by attributes of the surrounding landscape (Gripenberg & Roslin 2007; Kauffman et al. 2007).”
BackgroundBump, J. K., Webster, C. R., Vucetich, J. A., Peterson, R. O., Shields, J. M., & Powers, M. D. (2009) · Ecosystems · doi:10.1007/s10021-009-9274-0 · Cited by 135 · see citing works
Designing studies of predation risk for improved inference in carnivore-ungulate systems
Prugh, L. R., Sivy, K. J., Mahoney, P. J., Ganz, T. R., Ditmer, M. A., van de Kerk, M., Gilbert, S. L., & Montgomery, R. A. (2019) · Biological Conservation · doi:10.1016/j.biocon.2019.02.011 · Cited by 149 · see citing works
“using a model-derived, relative measure of risk across heterogeneous landscapes (e.g., Hebblewhite and Merrill, 2007; Kauffman et al., 2007; Kauffman et al., 2010; Petrunenko et al., 2016; Moll et al., 2018).”
MethodHopcraft, J. G. C., Morales, J. M., Beyer, H. L., Borner, M., Mwangomo, E., SINCLAIR, A. R. E., Olff, H., & Haydon, D. T. (2014) · Ecological Monographs · doi:10.1890/13-1446.1 · Cited by 128 · see citing works
“Landscape features such as dense thickets or drainage beds conceal predators or provide predictable locations where predators might encounter prey (Hebblewhite et al. 2005, Hopcraft et al. 2005, Balme et al. 2007, Kauffman et al. 2007, Valeix et al. 2009, Anderson et al. 2010).”
BackgroundKuijper, D. P. J., Bubnicki, J. W., Churski, M., Mols, B., & van Hooft, P. (2015) · Behavioral Ecology · doi:10.1093/beheco/arv107 · Cited by 124 · see citing works
Environmental determinants of habitat and kill site selection in a large carnivore: scale matters
Davidson, Z., Valeix, M., Loveridge, A. J., Hunt, J. E., Johnson, P. J., Madzikanda, H., & Macdonald, D. W. (2012) · Journal of Mammalogy · doi:10.1644/10-mamm-a-424.1 · Cited by 110 · see citing works
Large carnivore impacts are context-dependent
Haswell, P. M., Kusak, J., & Hayward, M. W. (2016) · Food Webs · doi:10.1016/j.fooweb.2016.02.005 · Cited by 108 · see citing works
“Wolf predation success and prey vulnerability may be dependent on the amount of open grassland adjacent to streams (Kauffman et al. 2007).”
BackgroundGervasi, V., Sand, H., Zimmermann, B., Mattisson, J., Wabakken, P., & Linnell, J. D. C. (2013) · Ecological Applications · doi:10.1890/12-1615.1 · Cited by 101 · see citing works
“4 E-mail: vincenzo.gervasi@nina.no 1722 different probabilities of killing (Kareiva and Wennegren 1995, Ellner et al. 2001, Kauffman et al. 2007).”
BackgroundInfluentialRisky times and risky places interact to affect prey behaviour
Dröge, E., Creel, S., Becker, M. S., & M’soka, J. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0220-9 · Cited by 103 · see citing works
Behavioural responses of ungulates to indirect cues of an ambush predator
Wikenros, C., Kuijper, D. P. J., Behnke, R., & Schmidt, K. (2015) · Behaviour · doi:10.1163/1568539x-00003266 · Cited by 94 · see citing works
“Predation risk can vary in different habitat types (Kauffman et al., 2007; Halofsky & Ripple, 2008).”
Migration of northern Yellowstone elk: implications of spatial structuring
White, P. J. C., Proffitt, K. M., Mech, L. D., Evans, S. B., Cunningham, J. A., & Hamlin, K. L. (2010) · Journal of Mammalogy · doi:10.1644/08-mamm-a-252.1 · Cited by 94 · see citing works
Can we save large carnivores without losing large carnivore science?
Allen, B. L., Allen, B. L., Andrén, H., Ballard, G., Boitani, L., Engeman, R. M., Fleming, P. J. S., Ford, A. T., Haswell, P. M., Kowalczyk, R., et al. (2017) · Food Webs · doi:10.1016/j.fooweb.2017.02.008 · Cited by 93 · see citing works
“Not only did these earlier studies incorrectly identify areas of high predation risk (Creel et al., 2005; Kauffman et al., 2007; Kauffman et al., 2010; Winnie, 2012), but they also failed to consider more parsimonious explanations for increased tree growth in riparian areas, such as the height of…”
BackgroundKittle, A. M., Anderson, M. L., Avgar, T., Baker, J. A., Brown, G. S., Hagens, J., Iwachewski, E., Moffatt, S. M., Mosser, A. A., Patterson, B. R., et al. (2017) · Ecosphere · doi:10.1002/ecs2.1783 · Cited by 88 · see citing works
“Predators influence survival, demography, and the spatial distribution of their prey through direct predation and the non-lethal risk of predation (Ripple et al. 2014), processes influenced by predator space-use patterns (Kauffman et al. 2007, McPhee et al. 2012a, Middleton et al. 2013).”
BackgroundA “death trap” in the landscape of fear
Schmidt, K., & Kuijper, D. P. J. (2015) · Mammal Research · doi:10.1007/s13364-015-0229-x · Cited by 94 · see citing works
Do prey select for vacant hunting domains to minimize a multi‐predator threat?
Kohl, M. T., Ruth, T. K., Metz, M. C., Stahler, D. R., Smith, D. W., White, P. J., & MacNulty, D. R. (2019) · Ecology Letters · doi:10.1111/ele.13319 · Cited by 86 · see citing works
“Wolves are cursorial predators that kill mainly in flat, open areas at morning and dusk (Kauffman et al. 2007; Kohl et al. 2018), whereas cougars are spot-and-stalk/ambush predators that kill mainly in topographically rugged, forested areas at night (Murphy et al. 1998; Ruth et al. 2019).”
BackgroundSelf-citationEvidence for top predator control of a grazing ecosystem
Frank, D. A. (2008) · Oikos · doi:10.1111/j.1600-0706.2008.16846.x · Cited by 94 · see citing works
Physiological Stress and Refuge Behavior by African Elephants
Jachowski, D. S., Slotow, R., & Millspaugh, J. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031818 · Cited by 89 · see citing works
“ed space use patterns indicative of refuge behavior have been documented for a variety of species, but few previous studies have linked the internal physiological status and selection of refugia [8,32].”
BackgroundInfluence of habitat features and hunter behavior on white‐tailed deer harvest
Lebel, F., Dussault, C., Massé, A., & Côté, S. D. (2012) · Journal of Wildlife Management · doi:10.1002/jwmg.377 · Cited by 87 · see citing works
Changes in Elk Distribution and Group Sizes after Wolf Restoration
White, P. J., Proffitt, K. M., & Lemke, T. O. (2012) · The American Midland Naturalist · doi:10.1674/0003-0031-167.1.174 · Cited by 85 · see citing works
Elbroch, L. M., Lendrum, P. E., Quigley, H. B., et al. (2015) · Journal of Animal Ecology · doi:10.1111/1365-2656.12447 · Cited by 85 · see citing works
“in ArcGIS 10 (Kauffman et al. 2007; Kunkel et al. 2013).”
BackgroundMethodInfluentialWolf presence and increased willow consumption by Yellowstone elk: implications for trophic cascades
Creel, S., & Christianson, D. (2009) · Ecology · doi:10.1890/08-2017.1 · Cited by 84 · see citing works
White, K. S., Barten, N. L., Crouse, S., & Crouse, J. A. (2013) · Ecology · doi:10.1890/13-0054.1 · Cited by 80 · see citing works
Thermal heterogeneity mediates the effects of pulsed subsidies across a landscape.
Armstrong, J. B., Schindler, D., Omori, K., Ruff, C. P., & Quinn, T. (2010) · Ecology · doi:10.1890/09-0790.1 · Cited by 93 · see citing works
“For example, heterogeneity in the physical structure of habitat can affect foraging success as much as prey availability (Hopcraft et al. 2005, Kauffman et al. 2007).”
BackgroundMikusiński, G., Bubnicki, J. W., Churski, M., Czeszczewik, D., Walankiewicz, W., & Kuijper, D. P. J. (2018) · Biological Conservation · doi:10.1016/j.biocon.2018.09.001 · Cited by 81 · see citing works
Resolving the value of the dingo in ecological restoration
Newsome, T. M., Ballard, G., Crowther, M. S., Dellinger, J. A., Fleming, P. J. S., Glen, A. S., Greenville, A. C., Johnson, C. N., Letnic, M., Moseby, K. E., et al. (2015) · Restoration Ecology · doi:10.1111/rec.12186 · Cited by 81 · see citing works
“For example, there is debate about the exact mechanisms by which wolves affect their main prey, elk (Cervus elaphus) (Kauffman et al. 2007; Middleton et al. 2013), and how widespread the cascading effects on vegetation have been (Kauffman et al. 2010, but see Painter et al. 2014 for the most recent…”
BackgroundPredation landscapes influence migratory prey ecology and evolution
Sabal, M. C., Boyce, M. S., Charpentier, C. L., Furey, N. B., Luhring, T. M., Martin, H. W., Melnychuk, M. C., Srygley, R. B., Wagner, C. M., Wirsing, A. J., et al. (2021) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2021.04.010 · Cited by 80 · see citing works
Self-citationPatterns and consequences of ungulate herbivory on aspen in western North America
Seager, S. T., Eisenberg, C., & Clair, S. B. S. (2013) · Forest Ecology and Management · doi:10.1016/j.foreco.2013.02.017 · Cited by 80 · see citing works
Recovering aspen follow changing elk dynamics in Yellowstone: evidence of a trophic cascade?
Painter, L. E., Beschta, R. L., Larsen, E. J., & Ripple, W. J. (2015) · Ecology · doi:10.1890/14-0712.1 · Cited by 76 · see citing works
Linking spatial patterns of terrestrial herbivore community structure to trophic interactions
Bubnicki, J. W., Churski, M., Schmidt, K., Diserens, T. A., & Kuijper, D. P. J. (2019) · eLife · doi:10.7554/elife.44937 · Cited by 74 · see citing works
Winter is changing: Trophic interactions under altered snow regimes
Penczykowski, R., Connolly, B., & Barton, B. (2017) · Food Webs · doi:10.1016/j.fooweb.2017.02.006 · Cited by 65 · see citing works
“…favor habitat with less snow due to topography or dense vegetation cover (Armleder et al., 1994; Rachlow and Bowyer, 1998; Schmidt, 1993), which could drive heterogeneous patterns of predation and herbivory across the landscape (Gorini et al., 2012; Kauffman et al., 2007; Nelson and Mech, 1986).”
BackgroundSeasonal Foraging Ecology of Non-Migratory Cougars in a System with Migrating Prey
Elbroch, L. M., Lendrum, P. E., Newby, J. R., Quigley, H. B., & Craighead, D. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083375 · Cited by 72 · see citing works
“We portioned kill sites into five equal sets, and models were fit to 80% partition of the data, while the remaining 20% of the data were used as test data [46,47].”
BackgroundMethodInfluentialMonk, J. D., & Schmitz, O. J. (2021) · Oikos · doi:10.1111/oik.08554 · Cited by 76 · see citing works
Cascading predator effects in a Fijian coral reef ecosystem
Rasher, D. B., Hoey, A. S., & Hay, M. E. (2017) · Scientific Reports · doi:10.1038/s41598-017-15679-w · Cited by 72 · see citing works
Habitat and roe deer fawn vulnerability to red fox predation
Panzacchi, M., Linnell, J. D. C., Odden, M., Oddén, J., & Andersen, R. (2009) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2009.01584.x · Cited by 74 · see citing works
Weak spatiotemporal response of prey to predation risk in a freely interacting system
Cusack, J. J., Kohl, M. T., Metz, M. C., Coulson, T. N., Stahler, D. R., Smith, D. W., & MacNulty, D. R. (2019) · Journal of Animal Ecology · doi:10.1111/1365-2656.12968 · Cited by 58 · see citing works
Self-citationWolves for Yellowstone: dynamics in time and space
Boyce, M. S. (2018) · Journal of Mammalogy · doi:10.1093/jmammal/gyy115 · Cited by 68 · see citing works
Self-citationEnhancing species distribution modeling by characterizing predator–prey interactions
Trainor, A. M., Schmitz, O. J., Ivan, J. S., & Shenk, T. M. (2013) · Ecological Applications · doi:10.1890/13-0336.1 · Cited by 68 · see citing works
“Following Kauffman et al. (2007, 2010) and Kertson et al. (2011), lynx telemetry locations were used to estimate utilization distributions (UD) for each lynx during each winter.”
MethodThaker, M., Vanak, A. T., Owen, C. R., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012758 · Cited by 66 · see citing works
Climate change intensification of herbivore impacts on tree recruitment
Brodie, J., Post, E., Watson, F., & Berger, J. (2012) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2011.1501 · Cited by 63 · see citing works
Beschta, R. L., & Ripple, W. J. (2011) · Ecology · doi:10.1890/11-0063.1 · Cited by 62 · see citing works
“Additionally, encounter sites and kill sites in Yellowstone occur, on average, nearly one kilometer apart (Kauffman et al. 2007).”
BackgroundRayl, N. D., Bastille‐Rousseau, G., Organ, J. F., Mumma, M. A., Mahoney, S. P., Soulliere, C. E., Lewis, K. P., Otto, R. D., Murray, D. L., Waits, L. P., et al. (2018) · Journal of Animal Ecology · doi:10.1111/1365-2656.12810 · Cited by 65 · see citing works
Stobo‐Wilson, A. M., Stokeld, D., Einoder, L. D., et al. (2020) · Diversity and Distributions · doi:10.1111/ddi.13065 · Cited by 61 · see citing works
“This finding is supported by other research that shows predators are more likely to hunt in areas where they have a higher rate of success (therefore greater prey availability) than in areas where prey abundance is greatest (Kauffman et al., 2007; Pakpien et al., 2017).”
ResultWolf predation on moose and roe deer: chase distances and outcome of encounters
Wikenros, C., Sand, H., Wabakken, P., Liberg, O., & Pedersen, H. C. (2009) · ACTA THERIOLOGICA · doi:10.4098/j.at.0001-7051.082.2008 · Cited by 59 · see citing works
Creel, S., Dröge, E., M’soka, J., Smit, D., Becker, M., Christianson, D., & Schuette, P. A. (2017) · Ecology · doi:10.1002/ecy.1885 · Cited by 55 · see citing works
“…know that responses to risk are sensitive to many extrinsic and intrinsic variables (Boinski et al. 2003, Hopcraft et al. 2005, Balme et al. 2007, Kauffman et al. 2007, Liley and Creel 2008, Cresswell et al. 2010, Cresswell and Quinn 2013, Creel et al. 2014), but we do not understand the…”
BackgroundTowards an ecosystem model of infectious disease
Hassell, J. M., Newbold, T., Dobson, A. P., Linton, Y., Franklinos, L. H. V., Zimmerman, D. M., & Lohan, K. M. P. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01454-8 · Cited by 61 · see citing works
Does wolf presence reduce moose browsing intensity in young forest plantations?
Calkoen, S. T. S. V. B., Kuijper, D. P. J., Sand, H., Singh, N. J., van Wieren, S. E., & Cromsigt, J. P. G. M. (2018) · Ecography · doi:10.1111/ecog.03329 · Cited by 54 · see citing works
Prey Selection by an Apex Predator: The Importance of Sampling Uncertainty
Davis, M. L., Stephens, P. A., Willis, S. G., Bassi, E., Marcon, A., Donaggio, E., Capitani, C., & Apollonio, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047894 · Cited by 48 · see citing works
“Accurate predictions require a thorough understanding of predator diets and prey selection, which can be affected by a multitude of factors including: prey and predator densities [7]; the functional and numerical responses of predators to changes in prey density [8–9]; community composition (particularly the presence…”
BackgroundBody condition and pregnancy in northern Yellowstone elk: Evidence for predation risk effects?
White, P. J., Garrott, R. A., Hamlin, K. L., Cook, R. C., Cook, J. G., & Cunningham, J. A. (2011) · Ecological Applications · doi:10.1890/09-2123.1 · Cited by 56 · see citing works
“…of elk antipredator strategies during winter have been ambiguous regarding whether wolves cause elk to avoid favored foraging areas, decrease time spent foraging, and decrease nutrition (Creel et al. 2005, Fortin et al. 2005, Kauffman et al. 2007, Gower et al. 2009a, b, White et al. 2009).”
BackgroundPiscivorous fish exhibit temperature‐influenced binge feeding during an annual prey pulse
Furey, N. B., Hinch, S. G., Mesa, M. G., et al. (2016) · Journal of Animal Ecology · doi:10.1111/1365-2656.12565 · Cited by 54 · see citing works
Home range size, vegetation density, and season influences prey use by coyotes (Canis latrans)
Ward, J. N., Hinton, J. W., Johannsen, K. L., Karlin, M., Miller, K. V., & Chamberlain, M. J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203703 · Cited by 56 · see citing works
“Indeed, heterogeneous landscapes and density-dependence are known to stabilize predator-prey interactions through frequency-dependent prey-switching [1,5] and by providing refugia for prey [77,128].”
BackgroundLandscape heterogeneity: concepts, quantification, challenges and future perspectives
Tonetti, V. R., Pena, J. C., Scarpelli, M., Sugai, L. S. M., de Barros, F. M., Anunciação, P. R., Santos, P. M., Tavares, A. L., & Ribeiro, M. C. (2023) · Environmental Conservation · doi:10.1017/s0376892923000097 · Cited by 58 · see citing works
“2009), predation (Kauffman et al. 2007), pest control (Gardiner et al.”
BackgroundHierarchical predation: wolf (Canis lupus) selection along hunt paths and at kill sites
McPhee, H. M., Webb, N., & Merrill, E. H. (2012) · Canadian Journal of Zoology · doi:10.1139/z2012-021 · Cited by 50 · see citing works
Owen‐Smith, N. (2015) · Oikos · doi:10.1111/oik.02218 · Cited by 49 · see citing works
Group density, disease, and season shape territory size and overlap of social carnivores
Brandell, E., Fountain-Jones, N. M., Gilbertson, M. L. J., Cross, P., Hudson, P., Smith, D. W., Stahler, D., Packer, C., & Craft, M. E. (2020) · Journal of Animal Ecology · doi:10.1111/1365-2656.13294 · Cited by 23 · see citing works
Self-citationNutritional-Landscape Models Link Habitat Use to Condition of Mule Deer (Odocoileus hemionus)
Merems, J. L., Shipley, L. A., Levi, T., Ruprecht, J., Clark, D. A., Wisdom, M. J., Jackson, N. J., Stewart, K. M., & Long, R. A. (2020) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2020.00098 · Cited by 49 · see citing works
Landscape of risk to roe deer imposed by lynx and different human hunting tactics
Norum, J. K., Lone, K., Linnell, J. D. C., Oddén, J., Loe, L. E., & Mysterud, A. (2015) · European Journal of Wildlife Research · doi:10.1007/s10344-015-0959-8 · Cited by 47 · see citing works
“Predation risk creates a mosaic of risky habitats and refugees in the landscape since the efficiency of a predator varies depending on habitat characteristics and predator hunting style (Kauffman et al. 2007).”
BackgroundThe influence of winter severity, predation and senescence on moose habitat use
Montgomery, R. A., Vucetich, J. A., Peterson, R. O., Roloff, G. J., & Millenbah, K. F. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12000 · Cited by 49 · see citing works
“Thus, our study substantiates that wolf hunting patterns correspond to the habitat decisions of their primary prey (Jedrzejewski et al. 2001, Bergman et al. 2006; Kauffman et al. 2007).”
BackgroundStructure and stability in exploited marine fish communities: quantifying critical transitions
Petrie, B. D., Frank, K. T., Shackell, N. L., & Leggett, W. C. (2009) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2009.00500.x · Cited by 50 · see citing works
Diel movement patterns influence daily variation in wolf kill rates on moose
Vennen, L. M. V., Patterson, B. R., Rodgers, A. R., Moffatt, S. M., Anderson, M. L., & Fryxell, J. M. (2016) · Functional Ecology · doi:10.1111/1365-2435.12642 · Cited by 46 · see citing works
“Consequently, our understanding of the factors influencing spatial variation in predation risk is increasing (e.g. Kauffman et al. 2007; DeCesare 2012; Courbin et al. 2013), as is our understanding of the resultant effects on predator─prey interactions (Berger-Tal et al. 2010; Kotler et al. 2010;…”
BackgroundFord, A. T., & Clevenger, A. P. (2010) · Conservation Biology · doi:10.1111/j.1523-1739.2010.01564.x · Cited by 46 · see citing works
Eglington, S. M., Gill, J. A., Smart, M. A., et al. (2008) · Biological Conservation · doi:10.1016/j.biocon.2008.10.027 · Cited by 46 · see citing works
- Authors
- Kauffman, M. J., Varley, N., Smith, D. W., Stahler, D. R., MacNulty, D. R., & Boyce, M. S.
- Affiliations
- University of Wyoming (US)
- University of Alberta (CA)
- Yellowstone National Park (US)
- University of California, Los Angeles (US)
- University of Minnesota (US)
- Corresponding author
- Kauffman, Matthew J.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2007-06-07
- Volume
- 10
- Issue
- 8
- Pages
- 690-700
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2163937023
- Cited by
- 350
- References
- 58
- Citations by year
- 2026: 5 · 2025: 19 · 2024: 19 · 2023: 13 · 2022: 18 · 2021: 21 · 2020: 17 · 2019: 21 · 2018: 23 · 2017: 32 · 2016: 16 · 2015: 18 · 2014: 27 · 2013: 22 · 2012: 17
- FWCI
- 12.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Ecology Letters (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons - USU (Utah State University) (submittedVersion)
- Funders
- National Science Foundation (0613730)
- Andrew W. Mellon Foundation
- National Geographic Society
- Alberta Conservation Association
- Camp Fire Conservation Fund
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
- Keywords
- wolf predation, elk, wolf, red deer, landscape heterogeneity, hunting grounds, territoriality, predation risk, habitat selection, Yellowstone National Park
- MeSH terms
- Animals, Deer, Demography, Models, Theoretical, Population Dynamics, Seasons, Wyoming, Logistic Models, Ecosystem, Wolves, Food Chain, Geographic Information Systems
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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