Predator Avoidance Hypothesis Statement

Avoidance or escape? Discriminating between two hypotheses for the function of schooling in threespine sticklebacks

Matthew M. Grobis,a,*Simon P. Pearish,b and Alison M. Bella,b

aSchool of Integrative Biology, University of Illinois at Urbana-Champaign, Champaign, IL, U.S.A

bProgram in Ecology, Evolution, and Conservation, University of Illinois at Urbana-Champaign, Champaign, IL, U.S.A

*Correspondence: M. M. Grobis, School of Integrative Biology, University of Illinois at Urbana-Champaign, 439 Morrill Hall, 505 S. Goodwin Avenue, Urbana, IL 61801, U.S.A. moc.liamg@siborg.ttam (M. M. Grobis)

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In many species, there are antipredator benefits of grouping with conspecifics. For example, animals often aggregate to better avoid potential predators (the ‘avoidance hypothesis’). Animals also often group together in direct response to predators to facilitate escape (the ‘escape hypothesis’). The avoidance hypothesis predicts that animals with previous experience with predation risk will aggregate more than animals without experience with predation risk. In contrast, the escape hypothesis predicts that immediate exposure to predation risk causes animals to aggregate. We simultaneously tested these two nonexclusive hypotheses in threespine sticklebacks, Gasterosteus aculeatus. Schooling behaviour (time spent schooling, latency to school and time schooling in the middle of the school) was quantified with a mobile model school. Fish that had been chased by a model predator in the past schooled more, started schooling faster and spent a marginally greater proportion of time schooling in the middle of the school than fish that had not been chased. In contrast, there was no difference in the schooling behaviour of fish that were immediately exposed to either a model pike or a control, stick stimulus. A second experiment confirmed that fish perceived the model pike and stick differently: fish froze more often in the presence of the model pike, oriented to it more often and spent less time with the model pike than they did with the stick. These results provide strong support for the avoidance hypothesis.

Keywords: antipredator behaviour, avoidance hypothesis, escape hypothesis, Gasterosteus aculeatus, schooling behaviour, threespine stickleback

Defence against predators has played an important role in the evolution of social grouping in prey animals (Alexander 1974; Farr 1975; reviewed in Pulliam & Caraco 1984). A rich literature shows that the antipredator benefits of grouping can accrue during different stages of the predator–prey interaction sequence. For example, grouping can improve predator detection (i.e. ‘many eyes’; Pulliam 1973; Kenward 1978; Lima 1990; Magurran et al. 1985; Godin et al. 1988; Roberts 1996) and minimize an individual’s risk of predation via the dilution effect (Foster & Treherne 1981; Turner & Pitcher 1986; Inman & Krebs 1987). Grouping can also improve escape from predators via coordinated predator defence (Curio 1978; Pitcher 1983) or predator confusion (Neill & Cullen 1974). Confusion might occur via a variety of sensory modalities, including hearing (Larsson 2012), vision (Tosh et al. 2009), or disruption of predator fish lateral line or electrosensory systems (New et al. 2001; Larsson 2009).

These different mechanisms can be classified into two broad categories according to when the benefits of grouping accrue during the predator–prey interaction sequence. The first category includes benefits of grouping that occur prior to the initiation of a predator attack (e.g. detection). In those cases, the function of grouping is to avoid predators (the avoidance hypothesis). The second category includes benefits of grouping that occur in response to the immediate presence of a predator (e.g. predator confusion or coordinated swimming). In those cases, the function of grouping is to improve escape (the escape hypothesis). For finerscale descriptions of the predator–prey interaction sequence, see Lima & Dill (1990) and Kelley & Magurran (2003).

Although many studies have documented antipredator benefits of grouping in diverse taxa (birds: Kenward 1978; Roberts 1996; insects: Calvert et al. 1979; Foster & Treherne 1981; fish: Seghers 1974; Magurran 1986; mammals: Monaghan & Metcalfe 1985; Jarman 1987), few studies (Ostreiher 2003; Fairbanks & Dobson 2007; Beauchamp & Ruxton 2008; Briones-Fourzán & Lozano-Álvarez 2008) have experimentally discriminated between different antipredator functions of grouping in any particular species, and none have been conducted in fish. This is an important question because although grouping provides copious antipredator benefits, it also has costs such as increased competition for food (Ekman 1979; Janson & Goldsmith 1995) and risk of disease (Poulin 1999). Because of these costs of grouping, animals should modulate grouping behaviour according to the level of perceived risk, and should group only when the benefits of grouping outweigh the costs (Pitcher & Parrish 1993; Lima & Bednekoff 1999). In other words, animals should only group when it is beneficial to do so. Therefore, understanding the conditions under which animals form groups can reveal insights into the function of grouping behaviour. In this study, we simultaneously tested whether the function of grouping in threespine sticklebacks, Gasterosteus aculeatus, is to avoid or to escape from predators.

Threespine sticklebacks are suitable subjects for evaluating the antipredator function of grouping because they are prey to a variety of different predator species, including fish, birds and odonates (Reimchen 1994). Previous studies have shown that sticklebacks use grouping (shoaling and schooling behaviour) as an antipredator defence (Ranta et al. 1992; Tegeder & Krause 1995; Bode et al. 2010; Kozak & Boughman 2012) and that predators are an important selective pressure that has shaped the evolution of schooling behaviour in this species (Vamosi 2002; Doucette et al. 2004). Some of the variation in schooling behaviour in threespine sticklebacks has a heritable basis (Wark et al. 2011), and threespine sticklebacks from populations that are under strong predation pressure school more (Doucette et al. 2004; for a similar pattern in other fish species see Seghers 1974; Foster & Treherne 1981; Magurran & Seghers 1991; Endler 1995).

In sticklebacks, as in most fishes, it is unknown whether prey in high-predation environments school more primarily in order to avoid or to escape from predators. A previous study found that sticklebacks school after a simulated attack by an aerial predator (Tegeder & Krause 1995), which is consistent with the escape hypothesis. Another study found that, in certain populations, repeated exposure to predation risk by trout causes sticklebacks to shoal more when predators are absent (Kozak & Boughman 2012), a finding consistent with the avoidance hypothesis.

However, to our knowledge, no study has attempted to disentangle the relative importance of schooling as an avoidance anti-predator behaviour or as a reaction to the immediate threat of predation to facilitate escape.

Therefore, to discriminate between the avoidance and escape hypotheses, we experimentally manipulated sticklebacks’ previous experience with predation risk and then measured their schooling behaviour. According to the avoidance hypothesis, sticklebacks school in order to avoid encounters with predators. Assuming that fish learn about predation risk via their own experience (e.g. Kelley & Magurran 2003; Ferrari & Chivers 2006), the avoidance hypothesis predicts that sticklebacks with more experience with predators will school more than sticklebacks with less experience, even when predators are not immediately present. We also quantified schooling behaviour of the same individuals following immediate exposure to either a model pike or a nonthreatening control stimulus (a stick). According to the escape hypothesis, sticklebacks school in order to escape from predators. Therefore, the escape hypothesis predicts that sticklebacks will school in immediate response to a predator (Tegeder & Krause 1995), that is, that they will school more in response to the presence of the predator (the model pike) than in response to the presence of a nonthreatening stimulus (the stick). We performed a second experiment to confirm that sticklebacks perceived the model pike as a threat.

Note, however, that the avoidance and escape hypotheses are not mutually exclusive and might interact (e.g. Trokovic et al. 2011). For example, animals with previous experience indicating that predation risk is high might be especially responsive to the immediate threat of predation. Our design allowed us to test whether schooling is used for both avoiding and escaping from predators, and to test for an interaction between previous and immediate experience with predation risk on schooling behaviour.



Juvenile threespine sticklebacks (G. aculeatus) were collected in November 2011 from Putah Creek, CA, U.S.A., and acclimated to the laboratory for 10 weeks prior to the experiment. Mean ± SE body size of sticklebacks in the experiment was 39.89 ± 0.61 mm. Threespine sticklebacks co-occur with northern pike, Esox lucius, throughout much of their range across the northern hemisphere (Bell & Foster 1994). However, pike are not present in Putah Creek; therefore, any observed differences in stickleback behaviour in our experiments could not be attributed to previous experience with pike. Fish were kept on a 16:8 h light:dark cycle at 20 °C and fed daily ad libitum a diet consisting of bloodworms, Mysis and brine shrimps. Water was cycled via a recirculating flow-through system with particulate, biological and UV filters (Aquaneering, San Diego, CA, U.S.A.).

Experiment 1: Effects of Previous Experience versus Immediate Exposure on Schooling


Fish were either chased every day for 1 week by a model pike or were not chased by a model pike (‘previous experience’). Schooling behaviour was then measured before and after exposure to a model pike or stick (‘immediate exposure’). The experimental design is in Fig. 1.

Figure 1

Overview of experiment 1. We quantified the influence of both previous experience and immediate exposure to a model predator on schooling behaviour of threespine sticklebacks. (a) To manipulate previous experience, fish were either chased (X) with a model...

Previous experience treatment

We randomly assigned 40 fish to one of eight tanks (53 × 33 × 24 high cm) with five individuals per tank. One week prior to behavioural observations, we randomly assigned the eight tanks to one of two ‘previous experience’ treatments, ‘chased’ and ‘not chased’ (control), with N = 20 individuals per group. Fish in the ‘chased’ group were exposed to a simulated predator attack once per day for 6 consecutive days.

In the ‘chased’ group, a model pike predator was vigorously shaken and thrashed throughout the tank for 30 s. To provide olfactory cues of predation risk, ‘chased’ fish were also exposed to alarm pheromone of dead sticklebacks (Brown & Godin 1997). Alarm pheromone was prepared by removing skin of dead sticklebacks that had been preserved in a −80 °C freezer, mashing the fragments in water for 5 min, and then decanting the fluid (without skin fragments) into 5 ml tubes that were stored at −20 °C for 1 week prior to use. At the same time that the model pike was added to the tank, a 5 ml aliquot of olfactory cues was poured into the tank. Fish in the ‘not chased’ group were not exposed to the model pike and 5 ml of water was added to the control tanks every day as a control for possible disturbance caused by adding alarm pheromone.

Behavioural assay and immediate exposure treatment

To determine whether schooling increases as a result of previous experience with predators (which would support the avoidance hypothesis) or increases upon immediate exposure to the presence of a predator (which would support the escape hypothesis), we observed the schooling behaviour of sticklebacks that differed in previous experience with the model pike before and after their exposure to the model pike predator or a control stimulus (Fig. 1).

Half of the fish from each ‘previous experience’ treatment were randomly assigned to one of two ‘immediate exposure’ treatments, ‘model pike’ or ‘stick’ (Fig. 1). A ‘school’ of model sticklebacks was used to measure schooling behaviour (similar to Wark et al. 2011). The school consisted of six model sticklebacks (mean ± SE standard length: 39 ± 2.69mm) positioned in a circle and spaced approximately one body length apart (Fig. 2; see Supplementary Fig. S1 for a picture of a model stickleback). Movement of the artificial school was controlled by a motor that randomly made the school ‘swim’ either clockwise or anticlockwise in a 0.9 m diameter pool at 0.75 m/s. We detected no effect of direction on schooling behaviour (results not shown). The pool water was 10 cm deep, and the models were positioned 2 cm above the bottom and an average ± SE of 16.25 ±1.5 cm from the edge of the pool wall (see Supplementary Video S1, which shows a focal fish schooling with the model school). Time spent schooling (swimming within one body length of the school, in seconds), latency to school (s) and the proportion of time spent schooling in the middle of school (behind the first model and in front of the last model) were recorded using JWatcher v1.0 software ( We measured the proportion of time spent schooling as the proportion of schooling time rather than as the proportion of total time of the behavioural assay.

Figure 2

The behavioural arena featured a model school of six clay sticklebacks (medium grey) that ‘swam’ around the arena. Latency to school, time spent schooling and position within school (centre or not centre) of the focal fish was recorded...

We tested an equal number of individuals from each treatment group each day and randomized the order in which individuals from each treatment group were tested. A previous study in the laboratory (L. Hostert, unpublished data) showed that 24 h isolation increases rates of schooling. Therefore, prior to testing, individuals were isolated in cups behind a black curtain for 24 h. Immediately prior to a behavioural assay, an individual was gently transferred to the pool and left undisturbed for 4 min. Then, the model school was placed into the pool (‘before’, Fig. 1). One minute later, the school began circling the arena and the behaviour of the focal fish was recorded for 5 min (Fig. 2). While the school was still moving, the ‘immediate exposure’ treatment was applied. In the ‘model pike’ treatment, a model pike (225 mm) was hung 38.1 cm away on the opposite side of the pool from the model school and ‘swam’ simultaneously opposite the school in the same direction as the school (see Supplementary Fig. S1 for a picture of the model pike). In the ‘stick’ treatment, a small tube (125 mm of clear blue water tubing) was hung opposite the school. After 1 min, the model pike or stick was removed. Schooling behaviour was recorded for the following 5 min as described above (‘after’, Fig.1). The focal fish was then removed from the pool and measured for standard length. Time of day was noted at the start of the trial. Every four trials, one-tenth of the water in the pool was suctioned out and replaced to remove fish debris. There was no detectable effect of time, overall trial order, or time since last water change on behaviour (results not shown). Behavioural assays took place during 10–13 February 2012. Two tanks (one ‘chased’ and one ‘not chased’ tank, N = 10 fish) were tested each day.

Experiment 2: Validation of Immediate Exposure

An important assumption of this study was that the sticklebacks would perceive the model pike and the stick differently. To test this assumption, we observed the antipredator behaviour of 20 wild-caught fish from the same population not used in experiment 1 in the presence of the model pike or stick. Individuals were housed in four tanks (N = 5 fish per tank) for 1 week before being individually isolated in cups for 24 h as in experiment 1.

A small plant (65 × 25 ×155 high mm) with gravel underneath (100 × 80 mm) was added to the pool to provide refuge. Prior to the behavioural assay, an individual was gently transferred to the pool and left undisturbed for 10 min (Fig. 2). Then, we attached either the model pike or the stick to the motor and ‘swam’ it around the pool and recorded the following behaviours for 2 min: time frozen, time hiding, time within one body length of the stimulus after actively swimming towards the stimulus, number of freezes and number of times oriented towards the stimulus. Behavioural assays took place on 5–6 March 2012.

Data Analysis

Repeated measures general linear models (subject: individual) were used to determine whether schooling behaviours were affected by previous experience or immediate exposure to a model pike predator or their interaction. Time schooling, latency to school and position in the school were +1 log-transformed to meet model assumptions and each variable was analysed separately. The repeated factor was before and after exposure to the model pike or stick. We chose a compound symmetry within-individual covariance structure over unstructured and first-order autoregressive using Akaike’s Information Criterion (AIC, Akaike 1974). The following variables were included as fixed factors: previous experience (chased or not chased), immediate exposure (pike or stick), before/after exposure, as well as all two- and three-way interactions. Size and time of day were initially included as covariates in each analysis, but in each case, their associated F values were less than 1 and were therefore removed. Tank was included as a random effect and its significance assessed by model comparison using AIC. In all cases, including tank as a random effect did not improve model fit and was therefore removed. Removal of covariates and tank as random effect did not change the final results. To further compare behaviour in the immediate presence of the model pike and stick, another set of GLMs were run that considered only the ‘after’ data.

In experiment 2, general linear models were used to determine whether the model pike elicited an antipredator response in the sticklebacks. Each behavioural variable was analysed separately. A compound symmetry covariance structure was used. Treatment (pike or stick) was a fixed factor. Size and time of day were included as covariates. Covariates were sequentially removed if F < 1.

Five fish were not included in the analyses: two died over the course of experiment 1, and in three trials, the model pike or stick did not attach to the rotating disk (two from experiment 1, and one from experiment 2). All statistical analyses were conducted in PASW 19 (SPSS Inc., Chicago, IL, U.S.A.).

Ethical Note

Exposure to simulated predation risk can be stressful for animals. Therefore, we took measures to maximize animal welfare by minimizing the duration of exposure to simulated predation risk and by providing refuges (plants and gravel) in the sticklebacks’ tanks. The experiments were approved by the Institutional Animal Care and Use Committee of the University of Illinois (Protocol number 09204, approved on 1 September 2009).


Fish schooled with the model school for a mean ± SE of 95.88 ± 22.95 s during 10 min. This is comparable to rates of schooling by sticklebacks in the field (S. Pearish, personal observation) and similar to published rates of stickleback schooling behaviour (Ranta et al.1992; Frommen et al. 2009; Wark et al. 2011; but see Ward et al. 2007). A summary of the behavioural data is given in Supplementary Table S1.

Previous experience influenced schooling behaviour: fish that had been previously ‘chased’ schooled longer (Table 1, Fig. 3), began schooling sooner (Table 2, Fig. 4) and spent a marginally higher proportion of time schooling in the middle of the school (Table 3, Fig. 5) compared to fish that had not been chased (control).

Figure 3

Time spent schooling by threespine sticklebacks that had been either chased or not chased (a) before and (b) after exposure to a model pike or stick. Error bars denote standard errors.

Figure 4

Latency to school by threespine sticklebacks that had been either chased or not chased (a) before and (b) after exposure to a model pike or a stick. Error bars denote standard errors.

Figure 5

Proportion of time schooling in the middle of the school by threespine sticklebacks that had been either chased or not chased (a) before and (b) after exposure to a model pike or stick. Error bars denote standard errors.

Table 1

General linear model with repeated measures with individual as the subject on log (total time schooling + 1) in threespine sticklebacks

Table 2

General linear model with repeated measures with individual as the subject on log (latency to school + 1) in threespine sticklebacks

Table 3

General linear model with repeated measures with individual as the subject on log (proportion of time schooling in the middle of the school + 1) in threespine sticklebacks

In contrast, immediate exposure to a model predator did not affect time schooling (Table 1, Fig. 3), latency to school (Table 2, Fig. 4), or the proportion of time schooling in the middle of the school (Table 3, Fig. 5), as shown by the nonsignificant ‘immediate exposure*before/after’ interaction. Considering only the data ‘after’ exposure to the model pike or stick, there was also no difference in time schooling (F1,32 = 1.068, P = 0.309), latency to school (F1,32 = 1.21, P = 0.280), or the proportion of time schooling in the middle of the school (F1,32 = 0.04, P = 0.838) between fish that were exposed to a model pike or a stick. However, ‘after’ exposure to the model pike or the stick, fish that had been chased schooled more (F1,32 = 10.39, P = 0.003) and had a lower latency to school (F1,32 = 4.18, P = 0.049) than fish without previous experience. There was no difference in the proportion of time schooling in the middle of the school after exposure between fish that had been chased compared to those that had not been chased (F1,32 = 2.87, P = 0.100).

In experiment 2, sticklebacks froze more often in the presence of the model pike than in the presence of the stick (F1,15 = 13.315, P = 0.002; Fig. 6a), oriented more towards the model pike (F1,15 = 6.254, P = 0.024; Fig. 6b) and spent less time with the model pike (F1,15 = 6.917, P = 0.019; Fig. 6c). Exposure to the model pike or stick did not influence time spent frozen or hidden (P > 0.1).

Figure 6

Number of (a) freezes and (b) orientations towards stimulus, and (c) time spent with stimulus by threespine sticklebacks during exposure to either a model pike or a stick in experiment 2.


This experiment tested whether the function of schooling is to avoid predators before an encounter or to escape from predators after an encounter. Threespine sticklebacks previously chased by a model pike schooled more, began schooling faster and spent marginally more time in the middle of the school than individuals that had not been chased. In contrast, immediate exposure to a model pike did not alter schooling behaviour. These results suggest that previous experience with predation risk increases schooling behaviour but immediate exposure does not, a pattern consistent with the avoidance hypothesis but not the escape hypothesis. We found no evidence for an interaction between the avoidance and escape hypotheses.

The test of the escape hypothesis in this experiment relied on the effectiveness of the ‘immediate exposure’ treatment. In other words, we assumed that immediate exposure to a model pike was perceived as a threat, while immediate exposure to a stick was not. To test this assumption, individual behaviour in the presence of the model pike and the stick was compared. Fish showed more anti-predator behaviours in the presence of the model pike than in the presence of the stick: they oriented more to the model pike, spent less time with the model pike and froze more often in the presence of the model pike (Fig. 6). Another study showed that sticklebacks that froze in the presence of a live pike survived for longer than individuals that did not freeze (McGhee et al. 2012). Thus, our results suggest that sticklebacks behaved towards the model pike as though it was a threat.

One potential interpretation of our results is that the sticklebacks in this study were not actively schooling with the model school but were instead treating it as a refuge. In the original development of this assay, Wark et al. (2011) addressed this concern by demonstrating that threespine sticklebacks preferentially associated with the model school over stationary and mobile plant refuges.

Wark et al. (2011) also showed that there is a heritable component to schooling behaviour in this species. Our study suggests that there is also an important role for experience. Indeed, our results suggest that some of the population-level differences in schooling behaviour that are often observed in fish species (Seghers 1974; Magurran & Seghers 1991; Magurran et al.1993; Endler 1995; Wark et al. 2011) could reflect previous experience with predators in the environment.

While our results are consistent with a previous study on sticklebacks (Kozak & Boughman 2012) and strongly support the avoidance hypothesis, there is also support for the escape hypothesis in this species. Tegeder & Krause (1995) showed that individual threespine sticklebacks exposed to a light stimulus representing an aerial predator immediately approached a shoal of other sticklebacks. One possible explanation for the different results is that different types of predators (e.g. bird or fish predator) might elicit different immediate antipredator reactions. Sticklebacks in this experiment did not school in immediate response to the pike model, perhaps because freezing is a more effective immediate tactic than schooling for preventing predation by a fish predator. Freezing might allow sticklebacks to escape from fish predators that rely on their lateral line, an organ that senses hydrodynamic pressure changes in the vicinity, for detecting prey (Reist 1983; Savino & Stein 1989; Brown & Smith 1998; Lehtiniemi 2005).

Knowing the conditions under which animals decide to enter a group is important because although groups provide anti-predator benefits, there are also costs associated with grouping (Ekman 1979; Janson & Goldsmith 1995; Poulin 1999). Thus, animals should group only when the benefits of grouping outweigh the costs (Lima & Bednekoff 1999). Although many studies have documented the antipredator benefits of grouping as a means of predator avoidance or response to predators (Pulliam 1973; Neill & Cullen 1974; Seghers 1974; Foster & Treherne 1981; Monaghan & Metcalfe 1985), the relative importance of these benefits might differ between animal species. By simultaneously testing the avoidance and escape benefits of grouping, the results of our experiment suggest that threespine sticklebacks use grouping as a means of predator avoidance and not escape.


We thank the Bell lab for their invaluable comments on the manuscript. This study drew from previous research by Lauren Hostert, to whom we are thankful.


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The mesopredator release hypothesis is an ecological theory used to describe the interrelated population dynamics between apex predators and mesopredators within an ecosystem, such that a collapsing population of the former results in dramatically-increased populations of the latter. This hypothesis describes the phenomenon of trophic cascade in specific terrestrial communities.

A mesopredator is a medium-sized, middle trophic level predator, which both predates and is predated upon. Examples are raccoons, skunks,[1]snakes, cownose rays, and small sharks.

The hypothesis[edit]

The term "mesopredator release" was first used by Soulé and colleagues in 1988 to describe a process whereby mid-sized carnivorous mammals became far more abundant after being "released" from the control of a larger carnivore. This, in turn, resulted in decreased populations of still smaller prey species, such as birds.[2][3][4] This may lead to dramatic prey population decline, or even extinction, especially on islands. This process arises when mammalian top predators are considered to be the most influential factor on trophic structure and biodiversity in terrestrial ecosystems.[5] Top predators may feed on herbivores and kill predators in lower trophic levels as well.[6] Thus, reduction in the abundance of top predators may cause the medium-sized predator population to increase, therefore having a negative effect on the underlying prey community.[7] The mesopredator release hypothesis offers an explanation for the abnormally high numbers of mesopredators and the decline in prey abundance and diversity.[8] The hypothesis supports the argument for conservation of top predators because they protect smaller prey species that are in danger of extinction.[3] This argument has been a subject of interest within conservation biology for years, but few studies have adequately documented the phenomenon.[9]


One of the main criticisms of the mesopredator release hypothesis is that it argues in favor of the top-down control concept and excludes the possible impacts that bottom-up control could have on higher trophic levels.[9] This means that it supports the argument that top predators control the structure and population dynamics of an ecosystem, but it does not take into account that prey species and primary producers also have an effect on the ecosystem’s structure. Furthermore, populations of smaller predators do not always increase after the removal of top predators; in fact, they sometimes decline sharply.[2] Another problem is that the hypothesis is offered as an explanation after large predators have already become rare or extinct in an ecosystem. Consequently, there is no data on the past ecosystem structure and the hypothesis cannot be tested.[10] As a result, information on the past conditions has been inferred from studies of the present conditions. However, contemporary examples of mesopredator release exist, such as the culling of cats on Macquarie Island.[11]

The hypothesis is sometimes also applied to humans as apex predators that produce top-down effects on lower trophic levels. However, it fails to recognize bottom-up effects that anthropogenic land transformations can have on landscapes on which primary producers, prey species, and mesopredators dwell.[12] Possible bottom-up effects on an ecosystem can be from bioclimatic impacts on ecosystem productivity and from anthropogenic habitat alterations.[9] Examples of anthropogenic habitat change include agriculture, grazing land, and urbanization. More importantly, the hypothesis does not take into account that higher trophic levels are affected by primary productivity. It also does not mention that trophic interactions operate at different strengths according to the ecosystem.[13] Therefore, the roles of predation and food/nutrient processes in influencing ecosystem structures remain open to controversy and further testing.[14]

See also[edit]


External links[edit]

Raccoons (Procyon lotor) and skunks (Mephitis mephitis) are mesopredators. Here they share cat food in a suburban backyard.
  1. ^Reid, F. & Helgen, K. (2008). "Mephitis mephitis". IUCN Red List of Threatened Species. Version 2015.2. International Union for Conservation of Nature. Retrieved 22 September 2015. 
  2. ^ abPrugh, L.R.; Stoner, C.J.; Epps, C.W.; Bean, W.T.; Ripple, W.J.; LaLiberte, A.S.; Brashares, J.S. (October 2009). "The Rise of the Mesopredator"(PDF). BioScience. 59 (9): 779–791. doi:10.1525/bio.2009.59.9.9. ISSN 0006-3568. Retrieved 22 September 2015. 
  3. ^ abSanicola, S. (2007). "Mesopredator Release". Retrieved 23 May 2007. 
  4. ^Courchamp, F.; Langlais, M.; Sugihara, G. (1999). "Cats protecting birds: modelling the mesopredator release effect". Journal of Animal Ecology. 68: 282–292. doi:10.1046/j.1365-2656.1999.00285.x. 
  5. ^Hebblewhite, M; White, CA; Nietvelt, CG; McKenzie, JA; Hurd, TE; Fryxell, JM (2005). "Human activity mediates a trophic cascade caused by wolves"(PDF). Ecology. 86 (8): 2135–2144. doi:10.1890/04-1269. Retrieved 22 September 2015. 
  6. ^Palomares, E.; Caro, T.M. (1999). "Interspecific killing among mammalian carnivores". Am. Nat. 153: 492–508. doi:10.1086/303189. 
  7. ^Crooks, K.R.; Soulé, M.E. (1999). "Mesopredator release and avifaunal extinctions in a fragmented system". Nature. 400: 563–566. doi:10.1038/23028. 
  8. ^Terborgh, J., Estes, J.A., Paquet, P., Ralls, K., Boyd-Heger, D., Miller, B.J. 1999. The role of top carnivores in regulating terrestrial ecosystems. In: Continental conservation: design and management principles for long-term, regional conservation networks. (eds Soulé, M. & Terborgh, J.). Island Press, Covelo, CA; Washington DC. pp. 39–64
  9. ^ abcElmhagen, B.; Rushton, S. (2007). "Trophic control of mesopredators in terrestrial ecosystems: top-down or bottom-up?". Ecology Letters. 10 (3): 197–206. doi:10.1111/j.1461-0248.2006.01010.x. 
  10. ^Sæther, B.E. (1999). "Top dogs maintain diversity". Nature. 400: 510–511. doi:10.1038/22889. 
  11. ^Bergstrom, D.M.; Lucieer, A.; Kiefer, K.; Wasely, J.; Belbin, L.; Pedersen, T.K.; Chown, S.L. (2009). "Indirect effects of invasive species removal devastate world heritage island". Journal of Applied Ecology. 46: 73–81. doi:10.1111/j.1365-2664.2008.01601.x. 
  12. ^Larivière, S (2004). "Range expansion of raccoons in the Canadian prairies: review of hypotheses". Wildl. Soc. Bull. 32: 955–963. doi:10.2193/0091-7648(2004)032[0955:reorit];2. 
  13. ^Oksanen, L.; Oksanen, T. (2000). "The logic and realism of the hypothesis of exploitation ecosystems". Am. Nat. 155: 703–723. doi:10.1086/303354. 
  14. ^Pace, M.L.; Cole, J.J.; Carpenter, S.R.; Kitchell, J.F. (1999). "Trophic cascades revealed in diverse ecosystems". Trends Ecol. Evol. 14: 483–488. doi:10.1016/s0169-5347(99)01723-1. PMID 10542455. 

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