Using the functional response of a consumer to predict biotic resistance to invasive prey

Twardochleb, Laura A.; Novák, Márk; Moore, Jonathan W.

doi:10.1890/11-0871.1

Cited by 47 publications

(45 citation statements)

References 50 publications

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“…Twardochleb et al 2012). Further, we agree with Heger et al (2013) that many of these hypotheses need to be ''branched'' into more specific and testable hypotheses.…”

Section: History Of Functional Responses In Invasion Ecologysupporting

confidence: 71%

“…Thus, whilst functional responses have been used in testing the 'biotic resistance' hypothesis and studies of the impacts of resident on invasive species (e.g. Zuharah and Lester 2011;Twardochleb et al 2012), MacNeil et al (in press) argue that true support for this hypothesis requires: (1) demonstration by field studies that resident species restrict the range, density or abundance of an invader; and (2) that some form of population regulation or de-stabilising interaction occurs between resident and invading species (e.g. in their predator/prey relationship).…”

Section: History Of Functional Responses In Invasion Ecologymentioning

confidence: 99%

“…Kelly et al 2002;Fielding et al 2003;Renai and 2005; Bishop and Peterson 2006;Veiga et al 2011; but see Griswold and Lounibos 2005;Twardochleb et al 2012). However, the problem with arbitrarily setting one particular level of prey availability is that, because of its 'snapshot' nature, any differences in predatory impact may be missed as no opportunity is given for functional response types and magnitudes to emerge and perhaps diverge.…”

Section: A Comparative Functional Response Framework For Invasion Ecomentioning

confidence: 99%

“…Also, we must caveat conclusions about functional response types and population consequences (e.g. not all Type II responses will lead to extinction of prey; Twardochleb et al 2012 Further, as mentioned earlier, a full assessment of consumer-resource dynamics (such as predator-prey) requires assessment of the demographic and/or aggregative numerical response (and hence total response). However, this may be impractical and moves away from our intention of providing a framework for the rapid assessment of invaders through comparative functional responses, which might be overwhelmingly able to provide ecological impact prediction.…”

Section: Challenges Future Research and Applicationsmentioning

confidence: 99%

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Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

et al. 2013

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Invasion ecology urgently requires predictive methodologies that can forecast the ecological impacts of existing, emerging and potential invasive species. We argue that many ecologically damaging invaders are characterised by their more efficient use of resources. Consequently, comparison of the classical 'functional response' (relationship between resource use and availability) between invasive and trophically analogous native species may allow prediction of invader ecological impact. We review the utility of species trait comparisons and the history and context of the use of functional responses in invasion ecology, then present our framework for the use of comparative functional responses. We show that functional response analyses, by describing the resource use of species over a range of resource availabilities, avoids many pitfalls of 'snapshot' assessments of resource use. Our framework demonstrates how comparisons of invader and native functional responses, within and between Type II and III functional responses, allow testing of the likely population-level outcomes of invasions for affected species. Furthermore, we describe how recent studies support the predictive capacity of this method; for example, the invasive 'bloody red shrimp' Hemimysis anomala shows higher Type II functional responses than native mysids and this corroborates, and could -013-0550-8 have predicted, actual invader impacts in the field. The comparative functional response method can also be used to examine differences in the impact of two or more invaders, two or more populations of the same invader, and the abiotic (e.g. temperature) and biotic (e.g. parasitism) context-dependencies of invader impacts. Our framework may also address the previous lack of rigour in testing major hypotheses in invasion ecology, such as the 'enemy release' and 'biotic resistance' hypotheses, as our approach explicitly considers demographic consequences for impacted resources, such as native and invasive prey species. We also identify potential challenges in the application of comparative functional responses in invasion ecology. These include incorporation of numerical responses, multiple predator effects and trait-mediated indirect interactions, replacement versus non-replacement study designs and the inclusion of functional responses in risk assessment frameworks. In future, the generation of sufficient case studies for a meta-analysis could test the overall hypothesis that comparative functional responses can indeed predict invasive species impacts.Biol Invasions (2014) 16:735-753 DOI 10.1007/s10530

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“…Twardochleb et al 2012). Further, we agree with Heger et al (2013) that many of these hypotheses need to be ''branched'' into more specific and testable hypotheses.…”

Section: History Of Functional Responses In Invasion Ecologysupporting

confidence: 71%

Section: History Of Functional Responses In Invasion Ecologymentioning

confidence: 99%

Section: A Comparative Functional Response Framework For Invasion Ecomentioning

confidence: 99%

Section: Challenges Future Research and Applicationsmentioning

confidence: 99%

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Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

et al. 2013

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“…We model mutualistic and competitive species interactions using both the classical Holling type I and II functional responses 16,17,18 (Supplementary Information). We perform a controlled numerical experiment at the stable stationary state by holding fixed the number of species, the strengths of the interactions, and the connectance, and seek to maximize individual species population abundances by varying the network architecture.…”

mentioning

confidence: 99%

Emergence of structural and dynamical properties of ecological mutualistic networks

Suweis

Simini

Banavar

et al. 2013

Nature

238

151

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Mutualistic networks are formed when the interactions between two classes of species are mutually beneficial. They are important examples of cooperation shaped by evolution. Mutualism between animals and plants plays a key role in the organization of ecological communities 1-3 . Such networks in ecology have generically evolved a nested architecture 4,5 independent of species composition and latitude 6,7 -specialists interact with proper subsets of the nodes with whom generalists interact 1 . Despite sustained efforts 5,8,9,10 to explain observed network structure on the basis of community-level stability or persistence, such correlative studies have reached minimal consensus 11,12,13 . Here we demonstrate that nested interaction networks could emerge as a consequence of an optimization principle aimed at maximizing the species abundance in mutualistic communities. Using analytical and numerical approaches, we show that because of the mutualistic interactions, an increase in abundance of a given species results in a corresponding increase in the total number of individuals in the community, as also the nestedness of the interaction matrix. Indeed, the species abundances and the nestedness of the interaction matrix are correlated by an amount that depends on the strength of the mutualistic interactions. Nestedness and the observed spontaneous emergence of generalist and specialist species occur for several dynamical implementations of the variational principle under stationary conditions. Optimized networks, while remaining stable, tend to be less resilient than their counterparts with randomly assigned interactions. In particular, we analytically show that the abundance of the rarest species is directly linked to the resilience of the community. Our work provides a unifying framework for studying the emergent structural and dynamical properties of ecological mutualistic networks 2,5,10,14 .Statistical analyses of empirical mutualistic networks indicate that a hierarchical nested structure is prevalent and is characterized by nestedness values that are consistently higher than those found in randomly assembled networks with the same number of species and interactions 1,6 . Nevertheless, the degree of nestedness varies among networks. Recently 5,10 , it has been argued that nestedness increases biodiversity and begets stability, but these results are in conflict with robust theoretical evidences showing that ecological communities with nested interactions are inherently less stable than unstructured ones 12,14,15 and that mutualism could be detrimental to persistence 11,15 . We aim to elucidate general optimization mechanisms underlying network structure and its influence on community dynamics and stability.There is a venerable history of the use of variational principles for understanding nature, which has led to significant advances in many sub--fields of physics, including classical mechanics, electromagnetism, relativity, and quantum mechanics. Our goal is to determine the appropriate variational principle tha...

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Vulnerability of Juvenile Bighead and Silver Carps to Predation by Largemouth Bass

Sanft

Parkos²,

Collins³

et al. 2018

Trans Am Fish Soc

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The establishment of Bighead Carp Hypophthalmichthys nobilis and Silver Carp H. molitrix throughout the Mississippi River basin potentially expands the prey base for native predators. A mechanistic understanding of interactions between nonnative prey and native predators is needed to assess the potential for predator regulation of Hypophthalmichthys carp populations and impacts on native predator assemblages. We conducted a series of experiments to quantify the selectivity and efficiency of Largemouth Bass Micropterus salmoides predation on juveniles of both of these Hypophthalmichthys species and behaviors that potentially influence this selectivity and efficiency. Selectivity was measured over 24 h in 2‐m‐diameter pools containing one of two prey assemblages consisting of three individuals from each of three species: (1) Bighead Carp with native littoral (Bluegill Lepomis macrochirus) and pelagic prey (Golden Shiner Notemigonus crysoleucas) or (2) Bighead Carp, Silver Carp, and a morphologically similar native prey (Gizzard Shad Dorosoma cepedianum). Foraging efficiency and predator–prey behaviors were quantified in 45‐min trials in which Largemouth Bass foraged on 10 individuals of a single prey species inside a 750‐L observation tank. All prey species were readily attacked and consumed by Largemouth Bass; Silver Carp were selected less often than Gizzard Shad, and Bighead Carp were selected at a higher rate than any of the other prey species. Of the species tested, Bighead Carp formed the tightest schools and were captured most efficiently by Largemouth Bass. Overall, Hypophthalmichthys carps were similar to native prey in their vulnerability to Largemouth Bass; therefore, factors affecting Hypophthalmichthys carp availability relative to native prey may shape postinvasion predator–prey interactions.

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Using the functional response of a consumer to predict biotic resistance to invasive prey

Cited by 47 publications

References 50 publications

Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

Emergence of structural and dynamical properties of ecological mutualistic networks

Vulnerability of Juvenile Bighead and Silver Carps to Predation by Largemouth Bass

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