Can increased structural complexity decrease the predation of an alien crayfish on a native fish?

Huang, Jinlong; Zheng, Xiaoqun; Wu, Zhengjun; Liu, Haiyang; Deng, Fengyun

doi:10.1007/s10750-016-2844-1

Cited by 9 publications

(4 citation statements)

References 40 publications

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“…Linear response excludes the lack of response ("no response"). Note that the effect can be positive or negative; for example, the linear response represents both increasing and decreasing responses to increasing HC Predation rates are often expected to decline in more complex environments due to fewer encounters with prey in both marine (Bishop & Byers, 2015;Carroll et al, 2015;Hovel et al, 2016;Miyashita et al, 2016) and freshwater environments (Figueiredo et al, 2015;Grutters et al, 2015;Huang et al, 2016;Schmidt-Drewello et al, 2016). However, these expectations depend on predator and prey microhabitat use and predator foraging tactics (Klecka & Boukal, 2014) and may be further modified by case-specific variables such as the physical characteristics of the submerged plants providing the HC (Grutters et al, 2015).…”

Section: Effects Of Hc On Interactionsmentioning

confidence: 99%

From individuals to communities: Habitat complexity affects all levels of organization in aquatic environments

et al. 2021

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Habitat complexity describes a wide array of spatial distribution patterns of physical structures in habitats. It affects aquatic ecosystems on multiple levels from individuals (e.g., foraging behavior) to species interactions (e.g., predation, prey selection) and entire communities (e.g., biodiversity, food web structure). We present a conceptual framework to classify these effects and use it to summarize recent advances in the field. We identify three main research gaps and limitations preventing a full synthesis of the effects of habitat complexity on aquatic communities and ecosystems. Habitat complexity is often characterized using ad hoc measures, which limits cross‐experimental comparison and meta‐analytical and modeling approaches. The effects of habitat complexity on communities and ecosystems can also involve feedback loops on lower levels of organization including the habitat complexity itself. Such ecological feedbacks can influence habitat formation and amplify or mitigate the direct effects of habitat loss and simplification or habitat restoration on populations and communities, yet are surprisingly little understood. Finally, most studies examine habitat complexity on the presence‐absence scale. This limits our ability to recognize nonlinear responses across habitat complexity gradients, which occur in many contexts in aquatic habitats. Since nonlinear responses can stabilize or destabilize population and community dynamics, we call for the use of a higher resolution of habitat complexity in future studies. We conclude that currently degraded habitats offer exciting opportunities for combining restorative efforts with research that could combine multi‐level experiments and monitoring to improve our understanding of the role of habitat complexity across aquatic ecosystems. This article is categorized under: Water and Life > Nature of Freshwater Ecosystems Water and Life > Conservation, Management, and Awareness

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Section: Effects Of Hc On Interactionsmentioning

confidence: 99%

From individuals to communities: Habitat complexity affects all levels of organization in aquatic environments

et al. 2021

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“…Our data suggest that the complex structural environment provided by the submerged tumbleweeds did not function as a refuge. The refuge used in this experiment was chosen to mimic spatial configurations and complexity of natural aquatic plants, and increased structural complexity has been shown to function as a refuge in some systems (Belgrad & Griffen, ; Huang et al., ). However, in other studies with mosquitofish as prey, the refuge is absolute such that only prey are able to move into and out of the refuge at will (Laidlaw et al., ; Winkelman & Aho, ).…”

Section: Discussionmentioning

confidence: 99%

“…Both predators and prey can exhibit individual variation that may influence rates of capture (Biro, Abrahams, Post, & Parkinson, 2004;Pruitt et al, 2017). Most predation experiments documenting prey mortality rates in the presence of a single predator species have been done with a simple design of the presence or absence of predators (Clemente, Hernández, Montaño-Moctezuma, Russell, & Ebert, 2013;Huang, Zheng, Wu, Liu, & Deng, 2016;Kotterba, Kuehn, Hammer, & Polte, 2014;Krueger, Shepherd, & Muir, 2014; Pinto Duarte, Krueger, & Ribeiro, 2013;Sih, Englund, & Wooster, 1998). Notably, some studies have incorporated two predator densities to test for synergy or interference among predators (Griffen, 2006;Griffin, De la Haye, Hawkins, Thompson, & Jenkins, 2008;Ramos & Van Buskirk, 2012;Reiss, Herriot, & Eriksson, 2014;Stier, Geange, & Bolker, 2013;Vance-Chalcraft, Soluk, & Ozburn, 2004).…”

Section: Introductionmentioning

confidence: 99%

No evidence of nonlinear effects of predator density, refuge availability, or body size of prey on prey mortality rates

Simkins

Belk

2017

Ecology and Evolution

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Predator density, refuge availability, and body size of prey can all affect the mortality rate of prey. We assume that more predators will lead to an increase in prey mortality rate, but behavioral interactions between predators and prey, and availability of refuge, may lead to nonlinear effects of increased number of predators on prey mortality rates. We tested for nonlinear effects in prey mortality rates in a mesocosm experiment with different size classes of western mosquitofish (Gambusia affinis) as the prey, different numbers of green sunfish (Lepomis cyanellus) as the predators, and different levels of refuge. Predator number and size class of prey, but not refuge availability, had significant effects on the mortality rate of prey. Change in mortality rate of prey was linear and equal across the range of predator numbers. Each new predator increased the mortality rate by about 10% overall, and mortality rates were higher for smaller size classes. Predator–prey interactions at the individual level may not scale up to create nonlinearity in prey mortality rates with increasing predator density at the population level.

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“…Heck & Thoman, 1981;Savino & Stein, 1982;Diehl, 1988;Gotceitas & Colgan, 1989;Mattila, 1992;Piko & Szedlmayer, 2007). Possible explanations for these results included a reduction in predator visual efficiency and mobility (Heck & Thoman, 1981;Savino & Stein, 1982;Diehl, 1988;Manatunge et al, 2000;Alexander et al, 2015) and the presence of refuge that provides partial or total protection for prey against predation (Persson & Eklov, 1995;Ajemian et al, 2015;Huang et al, 2016).…”

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confidence: 99%

Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

Granzotti

Muniz

Gomes

2018

Iheringia, Sér. Zool.

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Habitat complexity influences species diversity and regulates trophic interactions, mostly by increasing resource partitioning within habitats and providing refuge for prey. The influence of habitat complexity on more than two trophic levels is not well understood, mainly because behavioral modifications of prey and predator may influence the outcome of trophic interactions. Thus, we conducted a two-factor experiment with a three-level trophic chain: a piscivorous fish [Hoplerythrinus unitaeniatus (Spix & Agassiz 1829)], an invertivorous fish (Moenkhausia forestii Benine, Mariguela & C. de Oliveira, 2009) and an aquatic macroinvertebrate (Chironomidae larvae). We measured prey consumption in low, intermediate and high habitat complexity, provided by submerged macrophyte densities, in the presence and the absence of the piscivore, intending to test the hypothesis that higher habitat complexities decrease predators foraging success in different trophic levels. We calculated the percentage of consumed prey in all treatment combinations. There was no significant effect of habitat complexity on prey consumption for neither the piscivorous nor the invertivorous fish, but a positive correlation was found between the percentages of consumed prey by both the piscivore and the invertivore. Observed modifications in the foraging behavior of the piscivore may have resulted in similar prey consumptions in low and high macrophyte densities. Moreover, more active M. forestii could have suffered a higher predation pressure by H. unitaeniatus, resulting in the positive correlation found. We conclude that behavior patterns in different habitat complexities possibly influenced predation rates in the three experimental trophic levels.

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Can increased structural complexity decrease the predation of an alien crayfish on a native fish?

Cited by 9 publications

References 40 publications

From individuals to communities: Habitat complexity affects all levels of organization in aquatic environments

From individuals to communities: Habitat complexity affects all levels of organization in aquatic environments

No evidence of nonlinear effects of predator density, refuge availability, or body size of prey on prey mortality rates

Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

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