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Wolf Predation Essay Research Paper Effects of

Wolf Predation Essay, Research Paper


Effects of Wolf Predation


Abstract: This paper discusses four hypotheses to explain the effects


of wolf predation on prey populations of large ungulates. The four


proposed hypotheses examined are the predation limiting hypothesis,


the predation regulating hypothesis, the predator pit hypothesis, and


the stable limit cycle hypothesis. There is much research literature


that discusses how these hypotheses can be used to interpret various


data sets obtained from field studies. It was concluded that the


predation limiting hypothesis fit most study cases, but that more


research is necessary to account for multiple predator – multiple prey


relationships.


The effects of predation can have an enormous impact on the


ecological organization and structure of communities. The processes of


predation affect virtually every species to some degree or another.


Predation can be defined as when members of one species eat (and/or


kill) those of another species. The specific type of predation between


wolves and large ungulates involves carnivores preying on herbivores.


Predation can have many possible effects on the interrelations of


populations. To draw any correlations between the effects of these


predator-prey interactions requires studies of a long duration, and


statistical analysis of large data sets representative of the


populations as a whole. Predation could limit the prey distribution


and decrease abundance. Such limitation may be desirable in the case


of pest species, or undesirable to some individuals as with game


animals or endangered species. Predation may also act as a major


selective force. The effects of predator prey coevolution can explain


many evolutionary adaptations in both predator and prey species.


The effects of wolf predation on species of large ungulates have


proven to be controversial and elusive. There have been many different


models proposed to describe the processes operating on populations


influenced by wolf predation. Some of the proposed mechanisms include


the predation limiting hypothesis, the predation regulating


hypothesis, the predator pit hypothesis, and the stable limit cycle


hypothesis (Boutin 1992). The purpose of this paper is to assess the


empirical data on population dynamics and attempt to determine if one


of the four hypotheses is a better model of the effects of wolf


predation on ungulate population densities.


The predation limiting hypothesis proposes that predation is the


primary factor that limits prey density. In this non- equilibrium


model recurrent fluctuations occur in the prey population. This


implies that the prey population does not return to some particular


equilibrium after deviation. The predation limiting hypothesis


involves a density independent mechanism. The mechanism might apply to


one prey – one predator systems (Boutin 1992). This hypothesis


predicts that losses of prey due to predation will be large enough to


halt prey population increase.


Many studies support the hypothesis that predation limits prey


density. Bergerud et al. (1983) concluded from their study of the


interrelations of wolves and moose in the Pukaskwa National Park that


wolf predation limited, and may have caused a decline in, the moose


population, and that if wolves were eliminated, the moose population


would increase until limited by some other regulatory factor, such as


food availability. However, they go on to point out that this upper


limit will not be sustainable, but will eventually lead to resource


depletion and population decline. Seip (1992) found that high wolf


predation on caribou in the Quesnel Lake area resulted in a decline in


the population, while low wolf predation in the Wells Gray Provincial


Park resulted in a slowly increasing population. Wolf predation at the


Quesnel Lake area remained high despite a fifty percent decline in the


caribou population, indicating that mortality due to predation was not


density-dependent within this range of population densities. Dale et


al. (1994), in their study of wolves and caribou in Gates National


Park and Preserve, showed that wolf predation can be an important


limiting factor at low caribou population densities, and may have an


anti-regulatory effect. They also state that wolf predation may affect


the distribution and abundance of caribou populations. Bergerud and


Ballard (1988), in their interpretation of the Nelchina caribou herd


case history, said that during and immediately following a reduction


in the wolf population, calf recruitment increased, which should


result in a future caribou population increase. Gasaway et al. (1983)


also indicated that wolf predation can sufficiently increase the rate


of mortality in a prey population to prevent the population’s


increase. Even though there has been much support of this hypothesis,


Boutin (1992) suggests that “there is little doubt that predation is a


limiting factor, but in cases where its magnitude has been measured,


it is no greater than other factors such as hunting.”


A second hypothesis about the effects of wolf predation is the


predation regulating hypothesis, which proposes that predation


regulates prey densities around a low-density equilibrium. This


hypothesis fits an equilibrium model, and assumes that following


deviation, prey populations return to their pre-existing equilibrium


levels. This predator regulating hypothesis proposes that predation is


a density-dependent mechanism affecting low to intermediate prey


densities, and a density-independent mechanism at high prey densities.


Some research supports predation as a regulating mechanism.


Messier (1985), in a study of moose near Quebec, Canada, draws the


conclusion that wolf-ungulate systems, if regulated naturally,


stabilize at low prey and low predator population densities. In


Messier’s (1994) later analysis, based on twenty-seven studies where


moose were the dominant prey species of wolves, he determined that


wolf predation can be density-dependent at the lower range of moose


densities. This result demonstrates that predation is capable of


regulating ungulate populations. Even so, according to Boutin (1992)


more studies are necessary, particularly at high moose densities, to


determine if predation is regulatory.


A third proposal to model the effects of wolf predation on prey


populations is the predator pit hypothesis. This hypothesis is a


multiple equilibria model. It proposes that predation regulates prey


densities around a low-density equilibrium. The prey population can


then escape this regulation once prey densities pass a certain


threshold. Once this takes place, the population reaches an upper


equilibrium. At this upper equilibrium, the prey population densities


are regulated by competition for (and or availability of) food. This


predator pit hypothesis assumes that predator losses are


density-dependent at low prey densities, but inversely


density-dependent at high prey densities. Van Ballenberghe (1985)


states that wolf population

regulation is needed when a caribou herd


population declines and becomes trapped in a predator pit, wherein


predators are able to prevent caribou populations from increasing.


The final model that attempts to describe the effects of


predation on prey populations is the stable limit cycle hypothesis.


This hypothesis proposes that vulnerability of prey to predation


depends on past environmental conditions. According to this theory,


individuals of a prey population born under unfavorable conditions are


more vulnerable to predation throughout their adult lives than those


born under favorable conditions. This model would produce time lags


between the proliferation of the predator and the prey populations, in


effect generating recurring cycles. Boutin (1992) states that if this


hypothesis is correct, the effects of food availability (or the lack


of) should be more subtle than outright starvation. Relatively severe


winters could have long- term effects by altering growth, production,


and vulnerability. Thompson and Peterson (1988) reported that there


are no documented cases of wolf predation imposing a long-term limit


on ungulate populations independent of environmental influences. They


also point out that summer moose calf mortality was high whether


predators were present or not, and that snow conditions during the


winter affected the vulnerability of calves to predation. Messier


(1994) asserts that snow accumulation during consecutive winters does


not create a cumulative impact on the nutritional status of deer and


moose.


All of the four proposed theories mentioned above could describe


the interrelationships between the predation of wolves and their usual


north american prey of large ungulate species. There has been ample


evidence presented in the primary research literature to support any


one of the four potential models. The predation limiting hypothesis


seems to enjoy wide popular support, and seems to most accurately


describe most of the trends observed in predator-prey populations.


Most researchers seem to think that more specific studies need to be


conducted to find an ideal model of the effects of predation. Bergerud


and Ballard (1988) stated “A simple numbers argument regarding


prey:predator ratios overlooks the complexities in multi-predator-prey


systems that can involve surplus killing, additive predation between


predators, enhancement and interference between predator species,


switch over between prey species, and a three-fold variation in food


consumption rates by wolves.” Dale et al. (1994) stated that further


knowledge of the factors affecting prey switching, such as


density-dependent changes in vulnerability within and between prey


species, and further knowledge of wolf population response is needed


to draw any firm conclusions. Boutin (1992) also proposed that the


full impact of predation has seldom been measured because researchers


have concentrated on measuring losses of prey to wolves only.


Recently, bear predation on moose calves has been found to be


substantial, but there are few studies which examine this phenomenon


(Boutin 1992). Messier (1994) also pointed out that grizzly and black


bears may be important predators of moose calves during the summer.


Seip (1992), too, states that bear predation was a significant cause


of adult caribou mortality. These points emphasize that


multiple-predator and multiple-prey systems are probably at work in


the natural environment, and we must not over generalize a one


predator – one prey hypothesis in the attempt to interpret the overall


trends of the effects of predation of wolves on large ungulate


populations.


Literature Cited


Bergerud, A. T., W. Wyett, and B. Snider. 1983. The role of wolf


predation in limiting a moose population. Journal of


Wildlife Management. 47(4): 977-988.


Bergerud, A. T., and W. B. Ballard. 1988. Wolf predation on caribou:


the Nelchina herd case history, a different interpretation. Journal of


Wildlife Management. 52(2): 344- 357.


Boutin, S.. 1992. Predation and moose population dynamics: a critique.


Journal of Wildlife Management. 56(1): 116-127.


Dale, B. W., L. G. Adams, and R. T. Bowyer. 1994. Functional response


of wolves preying on barren-ground caribou in a multiple prey


ecosystem. Journal of Animal Ecology. 63: 644- 652.


Gasaway, W. C., R. O. Stephenson, J. L. Davis, P. E. K. Shepherd, and


O. E. Burris. 1983. Interrelationships of wolves, prey, and man in


interior Alaska. Wildlife Monographs. 84: 1- 50.


Messier, F.. 1985. Social organization, spatial distribution, and


population density of wolves in relation to moose density. Canadian


Journal of Zoology. 63: 1068-1077.


Messier, F.. 1994. Ungulate population models with predation: a case


study with the North American moose. Ecology. 75(2): 478-488.


Seip, D.. 1992. Factors limiting woodland caribou populations and ir


interrelationships with wolves and moose in southeastern British


Colombia. Canadian Journal of Zoology. 70: 1494-1503.


Thompson, I. D., and R. O. Peterson. 1988. Does wolf predation alone


limit the moose population in Pukaskwa Park?: a comment. Journal of


Wildlife Management. 52(3): 556-559.


Van Ballenberghe, V.. 1985. Wolf predation on caribou: the Nelchina


herd case history. Journal of Wildlife Management. 49(3): 711-720.


Bibliography


Literature Cited


Bergerud, A. T., W. Wyett, and B. Snider. 1983. The role of wolf


predation in limiting a moose population. Journal of


Wildlife Management. 47(4): 977-988.


Bergerud, A. T., and W. B. Ballard. 1988. Wolf predation on caribou:


the Nelchina herd case history, a different interpretation. Journal of


Wildlife Management. 52(2): 344- 357.


Boutin, S.. 1992. Predation and moose population dynamics: a critique.


Journal of Wildlife Management. 56(1): 116-127.


Dale, B. W., L. G. Adams, and R. T. Bowyer. 1994. Functional response


of wolves preying on barren-ground caribou in a multiple prey


ecosystem. Journal of Animal Ecology. 63: 644- 652.


Gasaway, W. C., R. O. Stephenson, J. L. Davis, P. E. K. Shepherd, and


O. E. Burris. 1983. Interrelationships of wolves, prey, and man in


interior Alaska. Wildlife Monographs. 84: 1- 50.


Messier, F.. 1985. Social organization, spatial distribution, and


population density of wolves in relation to moose density. Canadian


Journal of Zoology. 63: 1068-1077.


Messier, F.. 1994. Ungulate population models with predation: a case


study with the North American moose. Ecology. 75(2): 478-488.


Seip, D.. 1992. Factors limiting woodland caribou populations and ir


interrelationships with wolves and moose in southeastern British


Colombia. Canadian Journal of Zoology. 70: 1494-1503.


Thompson, I. D., and R. O. Peterson. 1988. Does wolf predation alone


limit the moose population in Pukaskwa Park?: a comment. Journal of


Wildlife Management. 52(3): 556-559.


Van Ballenberghe, V.. 1985. Wolf predation on caribou: the Nelchina


herd case history. Journal of Wildlife Management. 49(3): 711-720.

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