2019
DOI: 10.1101/722215
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Grazer behavior can regulate large-scale patterning of community states

Abstract: Ecosystem patterning can frequently arise from either environmental heterogeneity or biological feedbacks that produce multiple persistent ecological states. One such possible feedback is density dependent changes in behavior that regulates species interactions, which raises the question of whether behavior can also affect large-scale community patterns. On temperate rocky reefs, kelp and urchin barrens can form mosaics if urchins locally avoid predators and physical abrasion in kelp stands or large-scale patc… Show more

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Cited by 6 publications
(12 citation statements)
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“…Because it generates multiple stable equilibria, the Hollingtype III predation function plays a critical role in the model. While findings of alternative stable states with different shift thresholds (hysteresis) support type III (Ling et al, 2019), direct empirical estimates of functional form do not always do so (Dunn and Hovel, 2019;Karatayev et al, 2019). Another crucial assumption is the treatment of pulse perturbations and hysteresis.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Because it generates multiple stable equilibria, the Hollingtype III predation function plays a critical role in the model. While findings of alternative stable states with different shift thresholds (hysteresis) support type III (Ling et al, 2019), direct empirical estimates of functional form do not always do so (Dunn and Hovel, 2019;Karatayev et al, 2019). Another crucial assumption is the treatment of pulse perturbations and hysteresis.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, urchin grazing on kelp is modeled as a Holling type-III functional response for which the proportion of kelp consumed per urchin (grazing efficiency or proportion of available kelp consumed per urchin or the average product of kelp density) depends on kelp density, starting off very low at very low kelp densities, increasing at a decreasing rate at low kelp densities, reaching a maximum, and decreasing, at first at an increasing and then at a decreasing absolute rate, approaching zero at very high kelp densities (Holling, 1959a,b;Ludwig et al, 1997;Scheffer et al, 2001). While a Holling type IV function, which at high kelp densities, exhibits declining total (not just the proportion of) kelp consumption per urchin, has been used (Karatayev et al, 2019), a type III is preferred here because it allows both grazer switching and satiation. Support for the type III functional response is provided by the same factors that dampen the numerical response.…”
Section: Modeling Assumptionsmentioning
confidence: 99%
“…Establishing the presence and conditions leading to alternative stable states based on field data alone is rarely feasible due to the need for long-term data of each state at large spatial scales under identical environmental conditions (Petraitis and Dudgeon 2004; Petraitis 2013). Simple data-driven mechanistic models therefore represent a common approach to quantifying the potential for alternative stable states to explain observed patterns in diverse ecosystems (Ives et al 2008; Mumby et al 2007, 2013; Karatayev et al 2021). Our results show that the results of such simple models might be robust to food web complexity with aggregate feedbacks.…”
Section: Discussionmentioning
confidence: 99%
“…Our model combines the ecological dynamics of Karatayev et al (2021) with the spatial dynamics of Kanary et al (2014). We consider populations of kelp and urchins cohabit in a one-dimensional coastline Ω.…”
Section: Modelmentioning
confidence: 99%